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Search Results (4,490)

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36 pages, 839 KiB  
Review
Current Evidence on the Impact of Diet, Food, and Supplement Intake on Breast Cancer Health Outcomes in Patients Undergoing Endocrine Therapy
by Milena Žuža Praštalo, Biljana Pokimica, Aleksandra Arsić, Jasminka Z. Ilich and Vesna Vučić
Nutrients 2025, 17(3), 456; https://doi.org/10.3390/nu17030456 (registering DOI) - 26 Jan 2025
Abstract
Background/Objectives: The most common type of breast cancer (BRC) in women is estrogen/progesterone receptor positive. First-line treatment includes endocrine therapy, either with aromatase inhibitors or tamoxifen to reduce estrogen levels. Among the side effects produced by this treatment, aromatase inhibitor-induced arthralgia is the [...] Read more.
Background/Objectives: The most common type of breast cancer (BRC) in women is estrogen/progesterone receptor positive. First-line treatment includes endocrine therapy, either with aromatase inhibitors or tamoxifen to reduce estrogen levels. Among the side effects produced by this treatment, aromatase inhibitor-induced arthralgia is the most common, affecting the patients’ overall health and quality of life (QoL). The objectives here were to evaluate interventions examining the impact of modified diets, supplements, and/or some food components on health outcomes in BRC patients undergoing endocrine therapy. Methods: The literature search was performed in PubMed, Scopus, and Web of Science from June 2024, as well as manually, through the end of November 2024. The search was limited to studies of women diagnosed with estrogen/progesterone-receptor-positive BRC with selected articles reporting interventions with diet, food, or supplement intake and examining the relevant health outcomes. Studies not focusing on BRC patients undergoing endocrine therapy or not including specific health outcomes were excluded. Results: The search uncovered 1028 studies; after the removal of duplicates, abstracts, and irrelevant studies, 53 were closely examined, with 26 evaluated and presented here. The outcomes were changes in bone and body composition, cardiovascular disease risks, inflammation, and QoL. Conclusions: The examined evidence suggests that adherence to dietary patterns such as the Mediterranean or a low-fat diet, and a higher intake of fruits and vegetables were beneficial for various outcomes. Additionally, supplementation with some foods/components (dried plum, red clover) contributed to improving/maintaining bone and body composition, especially in overweight/obese patients. Supplementation with vitamin D or omega-3 improved lipid and angiogenic parameters and QoL. Although these results are promising, the effects of each supplement/food cannot be summarized due to the diverse nature of study designs, patients, and supplement dosages. Further studies are needed to explore the effects of specific nutritional interventions (including the newest, like fasting-mimicking diets and whole-grain cereal diets) on various health outcomes in BRC survivors during endocrine therapy, and to derive universal recommendations. Full article
(This article belongs to the Section Nutrition in Women)
17 pages, 2123 KiB  
Article
Clinical Data Mega-Collection of Obesity and Obesity-Related Trials: Primary Inclusion Criteria from All Studies and Highlights of Clinical Efficacy Analysis of GLP-1 Drugs
by Trung Tin Nguyen and David R. Elmaleh
J. Clin. Med. 2025, 14(3), 812; https://doi.org/10.3390/jcm14030812 (registering DOI) - 26 Jan 2025
Abstract
Background/Objectives: Obesity is heterogeneous and considered a chronic epidemic with significant un-met needs for management, treatment, and prevention. Methods: In this study, we used LizAI’s software TAITAN (alpha version) for the mega-collection and analysis of clinical data from 10,407 trials addressing obesity and [...] Read more.
Background/Objectives: Obesity is heterogeneous and considered a chronic epidemic with significant un-met needs for management, treatment, and prevention. Methods: In this study, we used LizAI’s software TAITAN (alpha version) for the mega-collection and analysis of clinical data from 10,407 trials addressing obesity and obesity-related diseases and their associated publications, mainly on PubMed. Results: We report an intensive growth of clinical trials until the end of 2024 and highlight the use of the body mass index (BMI) as a critical criterion in clinical participant selection despite its limitations. The significant disparities in races, regions, and the sites of trials across all studies have not been addressed, posing the possibility of research in the far future on the applications of precision medicine in weight management. In the latter parts of this paper, we analyze and discuss the clinical efficacy, mainly focusing on the primary endpoints and benchmarks of the recently FDA-approved once-weekly injectable glucagon-like peptide-1 receptor agonist (GLP-1 RA) drugs, including semaglutide and tirzepatide. Both drugs have functioned comparably when considering the 5% weight loss FDA threshold. Tirzepatide outperforms semaglutide and impacts fewer participants as the weight loss level increases from 5 to 20% and has greater effects in different populations, especially in people with type 2 diabetes (T2D). Conclusions: We would, however, like to highlight that (i) the weight loss level should be dependent on the clinically relevant needs of patients, and faster and greater weight loss might not be a win, and (ii) the clinical benefits, safety, and quality of life of patients should be carefully assessed when the weight loss is significant in a short period. In our search, we found that the specificities and impacts of weight loss therapies on organs like the kidneys and heart, different muscle types, bones, and fat accumulation in different parts of body were not investigated or disclosed during the clinical study period and longer term monitoring. In light of scientific needs and remarkable public interest in weight loss, our report provides findings on the buzz around losing weight in clinical trials, and our TAITAN software continues to collect data in real time and enrich its knowledge for future updates. Full article
(This article belongs to the Special Issue Clinical Advances in the Management and Treatment of Obesity)
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<p>(<b>A</b>) The growth of obesity and obesity-related clinical trials from 1983 to 2024, totaling 10,407; (<b>B</b>) the top 15 countries with the highest number of obesity and obesity-related clinical studies among the 10,407 trials.</p>
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<p>(<b>A</b>) Distribution of trials requiring BMI in inclusion criteria among 10,407 clinical trials (note: strictly considered for inclusion criteria—100% of studies used BMI as clinical factor, either as primary or secondary measurement); (<b>B</b>) distribution of BMI ranges across 7554 trials requiring BMI in inclusion criteria; (<b>C</b>) density of BMI ranges across 7554 trials requiring BMI in inclusion criteria.</p>
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<p>(<b>A</b>) Distribution of races among 881 obesity and obesity-related clinical trials which had published results on <a href="http://clinicaltrials.gov" target="_blank">clinicaltrials.gov</a>; (<b>B</b>) number of clinical trials with different inclusion percentage of each population.</p>
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<p>A summary of the mean weight loss percentages in the weight management drug-treated group versus the placebo-treated group in the trials with multiple races in which the White population was the majority: (<b>A</b>) STEP trials with once-weekly injectable semaglutide 2.4 mg (Sema 2.4 mg); (<b>B</b>) SURMOUNT (SUR) trials with once-weekly injectable tirzepatide (Tir). (<b>C</b>) Trials with a majority Asian population who received once-weekly injectable Sema 2.4 mg. (<b>D</b>) Trials with a population with type 2 diabetes (T2D). The dashed line indicates the FDA threshold for the 5 percent mean weight loss in the investigational therapy-treated group versus the placebo-treated groups, and the difference is statistically significant. All data were recorded at week 44 or later after the treatment.</p>
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<p>A summary of the participant proportion with a weight loss (WL) percentage equal to or higher than 5, 10, 15, and 20% in (<b>A</b>) trials with multiple races in which the White population was the majority; (<b>B</b>) trials with a population with type 2 diabetes (T2D); and (<b>C</b>) trials with a majority Asian population. All data were recorded at week 44 or later after the treatment and presented as an average value for the relevant trials listed in <a href="#jcm-14-00812-t005" class="html-table">Table 5</a>.</p>
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<p>A summary of the BMI (<b>A</b>) in trials with multiple races in which the White population was the majority and (<b>B</b>) in trials with a majority Asian population. All data were recorded at week 44 or later after the treatment and presented as an average value for the relevant trials listed in <a href="#jcm-14-00812-t005" class="html-table">Table 5</a>.</p>
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25 pages, 1595 KiB  
Article
The Protective Role of Physical Fitness Level Against Obesity and Body Dissatisfaction in French-Canadian Youth
by Mario Leone, Isabelle Thibault, Hung Tien Bui, Emilia Kalinova, Jean Lemoyne, Dominic Gagnon, Georges Larivière and Maxime Allisse
J. Funct. Morphol. Kinesiol. 2025, 10(1), 46; https://doi.org/10.3390/jfmk10010046 (registering DOI) - 26 Jan 2025
Abstract
Background: The obesity epidemic among adolescents significantly impacts not only their physical health but also various psychological factors, including their perception of body image. Thus, this study pursued three main objectives: (1) to update the reference standard values for all the physical [...] Read more.
Background: The obesity epidemic among adolescents significantly impacts not only their physical health but also various psychological factors, including their perception of body image. Thus, this study pursued three main objectives: (1) to update the reference standard values for all the physical fitness tests performed; (2) to examine the impact of overweight and obesity on factors influencing physical fitness in adolescents; and (3) to determine the relationship between the physical fitness level and the body image dissatisfaction among a population of French-Canadian adolescents. Methods: A total of 1862 adolescents aged 12 to 17 (1008 boys and 854 girls) participated in this study. Data were collected from 12 French-language high-schools from different socioeconomic backgrounds and spread across four regions of the province of Québec, Canada. Anthropometric measures (body mass, body height, body mass index (BMI), waist circumference, waist-to-height ratio) and fitness tests (aerobic power, anaerobic power, muscle endurance, muscular power, flexibility) were conducted. To assess adolescents’ body perception, a silhouette scale was used. Results: Standardized normative values were established for each fitness test (Lambda Mu Sigma; LMS method). In boys, performance generally improved with age, except for the V-test and sit-ups, which remained stable, and VO2peak, which declined during adolescence in both genders (unpaired t-test and Cohen’s d effect size). In girls, only the vertical jump and 30 m sprint improved with age, while the other tests stabilized by age 13. Fitness level was significantly influenced by obesity status. Boys and girls with a normal BMI performed better than those who were overweight or obese (ANOVA = p < 0.001 and effect size F). Girls appeared to be less affected by obesity status, with differences between overweight and obese groups rarely being significant (p > 0.05). Fitness level was also linked to body satisfaction, with satisfied adolescents generally achieving better scores than dissatisfied ones, even among those with a typical BMI. Socioeconomic status did not impact body image perception in boys (p = 0.351). In contrast, girls from lower socioeconomic backgrounds exhibited significantly more negative perceptions (p = 0.002) than their peers from more affluent families. Conclusions: Obesity status is strongly associated with poorer performance on fitness tests. Conversely, higher levels of physical fitness are linked to improved body image satisfaction. This positive relationship between fitness and body image holds true even for individuals with a healthy body weight (typical BMI). Full article
(This article belongs to the Special Issue Physical Activity for Optimal Health)
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<p>Composition of the fitness assessment test battery: (<b>A</b>) VO<sub>2</sub>peak; (<b>B</b>) maximal anaerobic capacity; (<b>C</b>) 30 m back-and-forth sprint; (<b>D</b>) flexibility; (<b>E</b>) push-ups; (<b>F</b>) sit-ups; (<b>G</b>) countermovement jump.</p>
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<p>Comparison of physical performance of boys based on BMI status (typical, overweight, obese) on various physical fitness factors: (<b>A</b>) VO<sub>2</sub>peak;. (<b>B</b>) Stages; (<b>C</b>) Anaerobic test; (<b>D</b>) 30m sprint; (<b>E</b>) Push-ups; (<b>F</b>) Sit-ups; (<b>G</b>) Vertical jump; (<b>H</b>) V-test. Statistical significance was assessed using ANOVA comparisons. The <span class="html-italic">p</span>-values indicate the significance of differences between groups: “a” for typical vs. overweight; “b” for typical vs. obese; “c” for overweight vs. obese. Effect size <span class="html-italic">F</span>: 0.1 = small, 0.25 = moderate, 0.40 = large. The significance threshold was set at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Comparison of physical performance of girls based on BMI status (typical, overweight, obese) on various physical fitness factors: (<b>A</b>) VO2peak;. (<b>B</b>) Stages; (<b>C</b>) Anaerobic test; (<b>D</b>) 30m sprint; (<b>E</b>) Push-ups; (<b>F</b>) Sit-ups; (<b>G</b>) Vertical jump; (<b>H</b>) V-test. Statistical significance was assessed using ANOVA comparisons. The p-values indicate the significance of differences between groups: “a” for typical vs. overweight; “b” for typical vs. obese; “c” for overweight vs. obese. Effect size F: 0.1 = small, 0.25 = moderate, 0.40 = large. The significance threshold was set at <span class="html-italic">p</span> &lt; 0.05.</p>
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16 pages, 2882 KiB  
Article
Metabolome Alterations Associated with Three-Month Sitting-Time Reduction Among Sedentary Postmenopausal Latinas with Cardiometabolic Disease Risk
by Jeffrey S. Patterson, Paniz Jasbi, Yan Jin, Haiwei Gu, Matthew A. Allison, Chase Reuter, Brinda K. Rana, Loki Natarajan and Dorothy D. Sears
Metabolites 2025, 15(2), 75; https://doi.org/10.3390/metabo15020075 (registering DOI) - 26 Jan 2025
Viewed by 51
Abstract
Background: Incidence of cardiometabolic disease among U.S. Hispanics/Latinos is higher than in non-Hispanic Whites. Prolonged sitting duration is prevalent in older adults, and compounded with menopause, greatly increases cardiometabolic risk in postmenopausal women. Metabolomic analyses of interventions to reduce sitting are lacking and [...] Read more.
Background: Incidence of cardiometabolic disease among U.S. Hispanics/Latinos is higher than in non-Hispanic Whites. Prolonged sitting duration is prevalent in older adults, and compounded with menopause, greatly increases cardiometabolic risk in postmenopausal women. Metabolomic analyses of interventions to reduce sitting are lacking and mechanistic understanding of health-promoting behavior change in postmenopausal Latinas is needed. Methods: To address this knowledge gap, an exploratory analysis investigated the plasma metabolome impact of a 12-week increased standing intervention among sedentary postmenopausal Latinas with overweight or obesity. From a parent-randomized controlled trial, a subset of Best Responders (n = 43) was selected using parameters of highest mean change in sitting bout duration and total sitting time; baseline variable-Matched Controls (n = 43) were selected using random forest modeling. Targeted LC-MS/MS analysis of archived baseline and 12-week plasma samples was conducted. Metabolite change was determined using a covariate-controlled general linear model and multivariate testing was performed. A false discovery rate correction was applied to all analyses. Results: Best Responders significantly changed time sitting (−110.0 ± 11.0 min; −21%), standing (104.6 ± 10.1 min; 40%), and sitting in bouts >30 min (−102.3 ± 13.9 min; −35%) compared to Matched Controls (7.1 ± 9.8 min, −7.8 ± 9.0 min, and −4.6 ± 12.7 min, respectively; all p < 0.001). Twelve-week metabolite change was significantly different between the two groups for 24 metabolites (FDR < 0.05). These were primarily related to amino acid metabolism, improved blood flow, and ATP production. Enzyme enrichment analysis predicted significant changes regulating glutamate, histidine, phenylalanine, and mitochondrial short-chain fatty acid catabolism. Pathway analysis showed significant intervention effects on glutamate metabolism and phenylalanine, tyrosine, and tryptophan biosynthesis, potentially indicating reduced cardiometabolic disease risk. Conclusions: Replacing nearly two hours of daily sitting time with standing and reduced prolonged sitting bouts significantly improved metabolomic profiles associated with cardiometabolic risk among postmenopausal Latinas. Full article
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<p>Metabolites of special interest identified in general linear model as significantly different in Best Responders standing intervention and the Matched heart-healthy lifestyle comparison Control Fold Change Differences. Y-axis shows fold change, calculated as 12-week follow-up/baseline measurements. X—mean, line—median, circles—individual samples. Fold change of 1.0 means no change from baseline to 12-week follow-up. Horizontal dashed line drawn at fold change of 1.0.</p>
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<p>Heat map of metabolite fold change for which 12-week change was significantly different between Best Responders standing intervention and the Matched heart-healthy lifestyle comparison Control (<span class="html-italic">p</span> &lt; 0.05). Display demonstrates normalized relative increases and decreases in abundance between and within conditions among postmenopausal women.</p>
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<p>Pathway (<b>A</b>) and enzyme enrichment (<b>B</b>) analyses of the Best Responders standing intervention and the Matched heart-healthy lifestyle comparison Control fold change differences. Data is plotted as −log<sub>10</sub>(<span class="html-italic">p</span>) versus pathway impact. The darker red color depicts greater significance and the larger circle size represents increased enrichment.</p>
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<p>PLS-DA score plot (<b>A</b>) and variable importance projection scores (<b>B</b>) comparing Best Responders standing intervention and the Matched Controls heart-healthy lifestyle comparison control fold change differences. Each dot in the PLS-DA score plot (<b>A</b>) represents a fold change (12-week follow-up/baseline) of Best Responder intervention and Matched Control samples. The directionality and influence of metabolites are depicted as a VIP score (<b>B</b>).</p>
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14 pages, 1856 KiB  
Systematic Review
Cryoballoon Pulmonary Vein Isolation in Obese Patients with Atrial Fibrillation Compared to Non-Obese Counterparts: A Meta-Analysis
by Dimitrios A. Vrachatis, Konstantinos A. Papathanasiou, Dimitrios Kazantzis, Ioannis Anagnostopoulos, Maria Kousta, Sotiria G. Giotaki, Gerasimos Deftereos, Vaia Lambadiari, George Giannopoulos, Efthimia K. Basdra, Theodore G. Papaioannou, Gerasimos Siasos and Spyridon Deftereos
Biomedicines 2025, 13(2), 298; https://doi.org/10.3390/biomedicines13020298 (registering DOI) - 25 Jan 2025
Viewed by 245
Abstract
Introduction: Obesity is an important risk factor for atrial fibrillation (AF) development. Data on cryoballoon ablation (CBA) outcomes in obese patients have so far been scarce. We reviewed the existing literature to compare the efficacy and safety of CBA in obese versus non-obese [...] Read more.
Introduction: Obesity is an important risk factor for atrial fibrillation (AF) development. Data on cryoballoon ablation (CBA) outcomes in obese patients have so far been scarce. We reviewed the existing literature to compare the efficacy and safety of CBA in obese versus non-obese AF patients. Methods: A systematic literature search was conducted for studies comparing clinical outcomes (arrhythmia recurrence and/or procedural data and/or safety outcomes) between obese and non-obese patients undergoing CBA for AF. Statistical pooling was performed according to a random-effects model with generic inverse-variance weighting of relative risks (RRs) and standardised mean differences (SMDs) computing risk estimates with 95% confidence intervals (CIs). Results: Obese and non-obese patients had comparable arrhythmia recurrence rates (normal versus overweight, RR = 0.95, 95% CI: 0.82–1.11, p = 0.55, I2% = 91%; normal versus class I obesity, RR = 0.97, 95% CI: 0.82–1.13, p = 0.68, I2% = 87%; normal versus class II obesity, RR = 0.98, 95% CI: 0.91–1.07, p = 0.29, I2% = 65%). Procedure time was marginally increased in obese patients compared to non-obese counterparts (normal versus overweight, SMD = 0.05, 95% CI: −0.15–0.26, p = 0.62, I2% = 74%; normal versus class I obesity, SMD = 0.10, 95% CI: −0.00–0.19, p = 0.06, I2% = 2%; overweight versus class I obesity, SMD = 0.11, 95% CI: 0.01–0.21, p = 0.048, I2% = 25%). Regarding radiation exposure, fluoroscopy time was increased in patients with class I obesity compared to normal-weight or overweight patients and dose area product was also increased in obese patients compared to non-obese patients. Lastly, the risk of complications did not differ between obese and non-obese patients. Statistical heterogeneity and the small number of patients included are the main limitations of this study. Conclusion: CBA seems to be effective for obese patients suffering from AF, featuring also similar safety outcomes with non-obese individuals. Radiation exposure was increased in obese patients. Full article
(This article belongs to the Section Molecular and Translational Medicine)
16 pages, 694 KiB  
Article
Assessment of Dietary Sodium, Potassium and Sodium-Potassium Ratio Intake by 72 h Dietary Recall and Comparison with a 24 h Urinary Sodium and Potassium Excretion in Dominican Adults
by Madeline Durán-Cabral, Rocío Estévez-Santiago, Alexandra Winter-Matos, Kilsaris García-Estrella, Begoña Olmedilla-Alonso and Carlos H. García-Lithgow
Nutrients 2025, 17(3), 434; https://doi.org/10.3390/nu17030434 (registering DOI) - 24 Jan 2025
Viewed by 428
Abstract
Background: PAHO-WHO reports that sodium intake is currently high in the Caribbean. The objective was to estimate sodium (Na) and potassium (K) intakes by 72 h dietary recall and compare them with those obtained from 24 h urinary excretion in Dominican adults. Methods: [...] Read more.
Background: PAHO-WHO reports that sodium intake is currently high in the Caribbean. The objective was to estimate sodium (Na) and potassium (K) intakes by 72 h dietary recall and compare them with those obtained from 24 h urinary excretion in Dominican adults. Methods: A total of 69 adults (33 men) completed a 3-day dietary recall with emphasis on added salt and seasonings. The 24 h urine samples were analysed by indirect potentiometry using the membrane ion-selective electrode technique. The WHO-PAHO Questionnaire on Knowledge, Attitudes and Behaviour toward Dietary Salt and Health was completed. Results: Dietary Na intake ranged from 1.0 to 8.3 g. Median dietary and urinary Na concentrations were similar (2.7 and 2.5 mmol/d). Mean dietary Na and K concretertentrations were higher than those excreted in 24 h urine (133.0 ± 59.7 vs. 103.7 ± 44.5 mmol Na/d, p = 0.001; 69.0 ± 21.0 vs. 36 ± 16.3 mmol K/d, p < 0.001). The Na-to-K ratio was lower in dietary than in 24 h urine samples (2.0 ± 1.1 vs. 3.2 ± 1.6 mmol/d, p < 0.001). Urinary Na concentration was associated with sex (r = 0.280, p = 0.020) and obesity (r = 0.244, p = 0.043) and K with sex (r = 0.356, p = 0.003). Urinary Na-to-K was inversely related to age (r= −0.291, p = 0.015). Sex and obesity explained 11% of the variance in urinary Na concentration and sex only of the variance in urinary K concentration. The only significant correlation between dietary and urinary concentrations was that of K (r = 0.342, p = 0.004). This correlation matrix, controlled for overweight and sex, maintained the level of significance and was equal in almost 12% of the data. Conclusions: These data, which are the first data on Na and K intakes in Dominicans assessed by dietary assessment, showed a higher mean sodium intake (mean of dietary recall and urinary excretion data: 2.7 g Na, 6.8 g salt/day) and a lower K intake (2.06 g/day) than the WHO recommendations (<2.0 g Na, ≥3.5 g K). Potassium, but not sodium, intake from 72 h food recall and 24 h urinary excretion showed a correlation when controlling for sex and obesity, but not enough to consider them interchangeable. Full article
(This article belongs to the Section Nutrition and Public Health)
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<p>Factor analysis loading plot. Total group. Two principal components. Dietary Na and carbohydrates, proteins, lipids, calories, sex, age and overweight.</p>
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<p>Factor analysis loading plot. Total group. Two principal components. Dietary K and carbohydrates, proteins, lipids, calories, sex, age and overweight.</p>
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9 pages, 330 KiB  
Article
Association Between Euthyroidism and Muscular Parameters in Adults with an Excess of Fat Mass: A Preliminary Study
by Francesca Greco, Luciana Sicilia, Giuseppe Seminara, Stefano Iuliano, Vera Tocci, Antonio Brunetti, Antonio Aversa, Luigi Di Luigi and Paolo Sgrò
Healthcare 2025, 13(3), 241; https://doi.org/10.3390/healthcare13030241 - 24 Jan 2025
Viewed by 232
Abstract
Background/Objectives: Thyroid hormones (THs) are correlated with body composition regardless of the presence of thyroid dysfunctions, whereas little is known regarding THs’ influence on muscular fitness components. This cross-sectional study investigated whether THs may affect muscular parameters in adults who are overweight and [...] Read more.
Background/Objectives: Thyroid hormones (THs) are correlated with body composition regardless of the presence of thyroid dysfunctions, whereas little is known regarding THs’ influence on muscular fitness components. This cross-sectional study investigated whether THs may affect muscular parameters in adults who are overweight and affected obesity. Methods: One hundred and five volunteers (65 females and 40 males, BMI: 33.5 (8.0) kg/m2) in an euthyroid state were enrolled. Body composition was evaluated using bioelectrical impedance analysis. Muscular parameters of interest were grip strength—evaluated using the handgrip test (HG) and muscular performance –evaluated using the 10-repetition chair-stand test (CST). Free-triiodothyronine (FT3), free-thyroxine (FT4) and their ratio (FT3/FT4) were evaluated to assess thyroid function. Results: In the female group, the Pearson linear regression analysis revealed a positive correlation between FT3 and HG (R = 0.261, p = 0.036) and a negative correlation between FT3/FT4 and CST (R= −0.266, p= 0.032). In the male group, a positive correlation between FT3 and skeletal muscle mass was found (R = 0.354, p = 0.025). No correlations were found between THs of interest and adiposity indexes (BMI, fat mass) in either group (p > 0.05). Conclusion: FT3 and FT3/FT4 ratio levels in euthyroidism may influence muscular parameters differently in females and males affected by an excess of fat mass. More research is needed to understand the mechanisms behind this correlation and whether THs could be a potential biomarker for muscle-related parameters. Full article
25 pages, 16828 KiB  
Systematic Review
Effects of Aerobic Exercise on Blood Lipids in People with Overweight or Obesity: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
by Zhuying Chen, Runyu Zhou, Xiaojie Liu, Jingqi Wang, Leiyuyang Wang, Yuanyuan Lv and Laikang Yu
Life 2025, 15(2), 166; https://doi.org/10.3390/life15020166 - 24 Jan 2025
Viewed by 351
Abstract
This study aimed to investigate the effects of aerobic exercise (AE) on triglyceride (TG), total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) levels in people with overweight or obesity. Searches were performed in PubMed, Scopus, Cochrane, and Web of Science, covering [...] Read more.
This study aimed to investigate the effects of aerobic exercise (AE) on triglyceride (TG), total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) levels in people with overweight or obesity. Searches were performed in PubMed, Scopus, Cochrane, and Web of Science, covering data up to 27 October 2023. A meta-analysis was conducted to determine the standardized mean difference (SMD) and 95% confidence interval. Nineteen studies met the inclusion criteria. AE significantly improved blood lipids in people with overweight or obesity (TG: SMD = −0.54; p < 0.00001; TC: SMD = −0.24; p = 0.003; HDL: SMD = 0.33; p = 0.003; LDL: SMD = −0.42; p = 0.0005). Both moderate-intensity and vigorous-intensity AE demonstrated significant impacts in reducing TC, TG, and LDL, whereas only moderate-intensity exercise significantly elevated HDL. Additionally, AE significantly optimized blood lipids in those with overweight, with TG being the only parameter showing improvement in individuals with obesity. Moreover, continuous AE notably improved HDL and TG, while interval AE significantly reduced TG, TC, and LDL. Lastly, a clear positive correlation emerged between the duration of the intervention and the decrease in LDL, and a distinct negative correlation was observed between session duration and the reduction of LDL. Full article
(This article belongs to the Special Issue Focus on Exercise Physiology and Sports Performance: 2nd Edition)
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<p>PRISMA flowchart of study selection.</p>
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<p>Meta-analysis results of the effects of AE on TG in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B53-life-15-00166" class="html-bibr">53</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 3
<p>Meta-analysis results of the effects of interval and continuous AE on TG in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B53-life-15-00166" class="html-bibr">53</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 4
<p>Meta-analysis results of the effects of moderate- and vigorous-intensity AE on TG in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B53-life-15-00166" class="html-bibr">53</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 5
<p>Meta-analysis results of the effects of AE on TG in people with overweight or obesity of different ages [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B53-life-15-00166" class="html-bibr">53</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 6
<p>Meta-analysis results of the effects of AE on TG in people with overweight or obesity of different basal BMI [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B53-life-15-00166" class="html-bibr">53</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 7
<p>Meta-analysis results of the effects of AE on TC in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 8
<p>Meta-analysis results of the effects of interval and continuous AE on TC in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 9
<p>Meta-analysis results of the effects of moderate- and vigorous-intensity AE on TC in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 10
<p>Meta-analysis results of the effects of AE on TC in people with overweight or obesity of different ages [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 11
<p>Meta-analysis results of the effects of AE on TC in people with overweight or obesity of different basal BMI [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 12
<p>Meta-analysis results of the effects of AE on HDL in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 13
<p>Meta-analysis results of the effects of interval and continuous AE on HDL in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 14
<p>Meta-analysis results of the effects of moderate- and vigorous-intensity AE on HDL in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 15
<p>Meta-analysis results of the effects of AE on HDL in people with overweight or obesity of different ages [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 16
<p>Meta-analysis results of the effects of AE on HDL in people with overweight or obesity of different basal BMI [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B35-life-15-00166" class="html-bibr">35</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B46-life-15-00166" class="html-bibr">46</a>,<a href="#B47-life-15-00166" class="html-bibr">47</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 17
<p>Meta-analysis results of the effects of AE on LDL in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 18
<p>Meta-analysis results of the effects of interval and continuous AE on LDL in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 19
<p>Meta-analysis results of the effects of moderate- and vigorous-intensity AE on LDL in people with overweight or obesity [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
Full article ">Figure 20
<p>Meta-analysis results of the effects of AE on LDL in people with overweight or obesity of different ages [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
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<p>Meta-analysis results of the effects of AE on LDL in people with overweight or obesity of different basal BMI [<a href="#B21-life-15-00166" class="html-bibr">21</a>,<a href="#B22-life-15-00166" class="html-bibr">22</a>,<a href="#B32-life-15-00166" class="html-bibr">32</a>,<a href="#B33-life-15-00166" class="html-bibr">33</a>,<a href="#B34-life-15-00166" class="html-bibr">34</a>,<a href="#B45-life-15-00166" class="html-bibr">45</a>,<a href="#B48-life-15-00166" class="html-bibr">48</a>,<a href="#B49-life-15-00166" class="html-bibr">49</a>,<a href="#B50-life-15-00166" class="html-bibr">50</a>,<a href="#B51-life-15-00166" class="html-bibr">51</a>,<a href="#B52-life-15-00166" class="html-bibr">52</a>,<a href="#B54-life-15-00166" class="html-bibr">54</a>,<a href="#B55-life-15-00166" class="html-bibr">55</a>,<a href="#B56-life-15-00166" class="html-bibr">56</a>,<a href="#B57-life-15-00166" class="html-bibr">57</a>].</p>
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16 pages, 417 KiB  
Article
Cardiovascular Outcomes in Hospitalized Patients with COVID-19: Does Age Really Matter?
by Alex Sotomayor-Julio, Manuela Escalante, Yorlany Rodas-Cortes, Andrea Alejandra Arteaga-Tobar, Andrea Valencia, Fernando Wyss, Roger Martín Correa, Paola Oliver, Wilbert Yabar Galindo, Jessica Mercedes, Alejandra Inés Christen, Iván Criollo, Juan Martin Brunialti, Carlos Eduardo Montenegro, Pedro Schwartzmann, Eglee Castillo, Freddy Pow Chong, Claudia Almonte, Cesar Herrera and Juan Esteban Gomez-Mesa
J. Cardiovasc. Dev. Dis. 2025, 12(2), 41; https://doi.org/10.3390/jcdd12020041 - 24 Jan 2025
Viewed by 342
Abstract
Background: An advanced age elevates risk for COVID-19-related cardiovascular complications and mortality. This study analyzes cardiovascular comorbidities and outcomes in hospitalized COVID-19 patients across age groups to assess its impact. Methods: The CARDIO COVID 19-20 registry is a prospective, multicenter cohort study of [...] Read more.
Background: An advanced age elevates risk for COVID-19-related cardiovascular complications and mortality. This study analyzes cardiovascular comorbidities and outcomes in hospitalized COVID-19 patients across age groups to assess its impact. Methods: The CARDIO COVID 19-20 registry is a prospective, multicenter cohort study of hospitalized SARS-CoV-2 patients across 44 institutions in 14 Latin American countries. Patients were categorized into four age groups, Group 1: under 40 years, Group 2: 40 to 64 years, Group 3: 65 to 79 years, and Group 4: 80 years or older. Results: A total of 3260 patients were included. A total of 36.8% were women, and key comorbidities included overweight/obesity (49.7% [G1: 48.9%, G2: 56.3%, G3: 45.6%, G4: 32.7%]), and hypertension (49% [G1: 11.3%, G2: 40.3%, G3: 67.9%, G4: 80.4%]). Primary cardiovascular complications during hospitalization were arrhythmias (9.1% [G1: 3.4%, G2: 6.1%, G3: 14.9%, G4: 12.9%]), and acute heart failure (8.5% [G1: 3.6%, G2: 6.1%, G3: 12.1%, and G4: 15.2%]). In our cohort, 53.5% of the patients were admitted to the intensive care unit (G1: 49.2%, G2: 57%, G3: 55.3%, G4: 38.3%). In-hospital mortality rose significantly in patients aged 65 and older; G3: 334 (34.7%) and G4: 156 (45.6%) (p value: <0.001). Conclusions: In Latin American COVID-19 patients, older age correlates with more comorbidities, cardiovascular complications, and higher in-hospital and 30-day mortality, indicating age as an independent mortality factor. Full article
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<p>Distribution of patients by participating countries.</p>
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22 pages, 777 KiB  
Article
Comprehensive Gait Analysis and Kinetic Intervention for Overweight and Obese Children
by Cristina Popescu, Daniela Matei, Anca Maria Amzolini and Magdalena Rodica Trăistaru
Children 2025, 12(2), 122; https://doi.org/10.3390/children12020122 - 23 Jan 2025
Viewed by 316
Abstract
Background/Objectives: Childhood obesity is a critical public health issue associated with biomechanical and functional impairments that influence gait and physical performance. This study aimed to evaluate the impact of a six-month personalized kinetic program on gait parameters and pelvic kinematics in overweight [...] Read more.
Background/Objectives: Childhood obesity is a critical public health issue associated with biomechanical and functional impairments that influence gait and physical performance. This study aimed to evaluate the impact of a six-month personalized kinetic program on gait parameters and pelvic kinematics in overweight and obese children. Methods: The prospective observational study included 100 children aged 8 to 15, divided into a study group (SG, n = 50) and a control group (CG, n = 50). The SG participated in a tailored kinetic program focusing on flexibility, strength, and coordination exercises, while the CG maintained their usual activities. The program consisted of 60 min sessions conducted three times per week over a six-month period. Gait parameters and pelvic symmetry indices were assessed using the BTS G-WALK system. Ethical approval was granted by the Ethics Committee of the University of Medicine and Pharmacy, Craiova, under approval no. 38/01 March 2022. Results: Significant improvements were observed in the SG, with increases in cadence (steps/min), walking speed (m/s), and pelvic symmetry indices across all planes (sagittal, frontal, and transverse) (p < 0.0001). In contrast, no significant changes were observed in pelvic symmetry indices in the CG (p > 0.01). The Spearman correlation matrix and heatmaps highlighted a strong correlation between improved gait parameters and participation in the kinetic program (correlation coefficient over 0.45). Conclusions: The findings demonstrate that a targeted kinetic program can significantly improve gait mechanics and pelvic kinematics in overweight and obese children. These results emphasize the importance of personalized exercise interventions in managing obesity-related gait abnormalities and improving functional mobility. Full article
(This article belongs to the Section Global Pediatric Health)
19 pages, 5709 KiB  
Review
Global Perspectives on Obesity and Being Overweight: A Bibliometric Analysis in Relation to Sustainable Development Goals
by Natália Ueda Yamaguchi, Letícia de Almeida, Rúbia Carvalho Gomes Corrêa, Rute Grossi Milani and Mirian Ueda Yamaguchi
Int. J. Environ. Res. Public Health 2025, 22(2), 146; https://doi.org/10.3390/ijerph22020146 - 22 Jan 2025
Viewed by 350
Abstract
Obesity and being overweight are significant risk factors for diseases and disabilities, making it crucial to address malnutrition in all its forms to ensure health and well-being for all, as well as to achieve sustainable development. This study conducted a bibliometric analysis of [...] Read more.
Obesity and being overweight are significant risk factors for diseases and disabilities, making it crucial to address malnutrition in all its forms to ensure health and well-being for all, as well as to achieve sustainable development. This study conducted a bibliometric analysis of research on obesity in relation to Sustainable Development Goals (SDGs) using data from the Web of Science database from 2015 to 2024 and the VOSviewer software. The findings revealed that while research on obesity and SDGs has grown slowly, SDG 3 (Good Health and Well-Being) is predominant in the literature. This study highlighted the fragmentation of research due to the complex, multifactorial nature of obesity, emphasizing the need for a more holistic approach. Furthermore, international collaborations were found to be vital for advancing research and formulating effective public policies. This analysis also identified gaps in the research related to several SDGs, including education (SDG 4), affordable and clean energy (SDG 7), and partnerships (SDG 17), suggesting the need for a broader, more holistic approach. Additionally, emerging research related to SDG 11 (Sustainable Cities and Communities) underscores the importance of urban environments in tackling obesity. In conclusion, future research should adopt an interdisciplinary approach to address these gaps and contribute to advancing the 2030 Agenda. Full article
(This article belongs to the Special Issue Nutrition-, Overweight- and Obesity-Related Health Issues)
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<p>Cumulative scientific production of documents on being overweight, obesity, and Sustainable Development Goals.</p>
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<p>A bibliographic coupling density diagram of the 10 most cited documents (minimum number of citations per document: 62, threshold met: 10, clusters: 10, links: 0, weights: citations, VosViewer 1.6.18).</p>
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<p>Geographic distribution of documents.</p>
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<p>A map created based on country co-authorship according to author affiliations (minimum number of documents per country: 2; items meeting the threshold, the total of 78 countries: 46; clusters: 8; links: 150; total link strength: 257; weights: normalized citations; VOSviewer 1.6.18.).</p>
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<p>Documents classified by thematic category in the Web of Science.</p>
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<p>The distribution of publications according to the Sustainable Development Goals (SDGs) addressed (* documents not classified according to the SDGs).</p>
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<p>Clusters based on the co-occurrence of all keywords (minimum number of occurrences per keyword: 4; items meeting the threshold: 59; clusters: 6; links: 588; total link strength: 950; weights: occurrences, VosViewer 1.6.18).</p>
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14 pages, 804 KiB  
Opinion
Sustainable Food Security and Nutritional Challenges
by Malik A. Hussain, Li Li, Arua Kalu, Xiyang Wu and Nenad Naumovski
Sustainability 2025, 17(3), 874; https://doi.org/10.3390/su17030874 - 22 Jan 2025
Viewed by 556
Abstract
Food security is an immensely complex issue connected to global food production and supply systems. One of the key challenges is to provide sufficient, safe, and nutritionally balanced food for everyone on the planet. It is closely linked to many factors including population [...] Read more.
Food security is an immensely complex issue connected to global food production and supply systems. One of the key challenges is to provide sufficient, safe, and nutritionally balanced food for everyone on the planet. It is closely linked to many factors including population growth, poverty, economic stability, and environmental sustainability. Currently, the world population is growing at an unprecedented rate, placing immense pressure on food production systems. Thus, meeting the increasing demand for food presents a significant challenge for the current global agriculture and food systems. The World Food Program reported that over 345 million people faced high levels of food insecurity in 2023. Additionally, 2 billion people are living with micronutrient deficiencies (such as vitamin A, iron, and iodine). Over time, a severely restricted food intake can cause malnutrition and reduce the lifespan. On the other hand, nearly 2 billion adults worldwide are overweight or obese. Global emergencies such as the COVID-19 pandemic and war zones have complicated the situation and resulted in increased hunger, lower immunity, increased infectious disease, and increased rates of early mortality. Furthermore, climate changes are disrupting traditional growing seasons, increasing the frequency of extreme weather events, and posing a serious threat to crop yields. This scenario warrants adaptation of sustainable and resilient agriculture and food systems is crucial for improved and sustainable food security. Full article
(This article belongs to the Special Issue Food Science and Technology and Sustainable Food Products)
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<p>Schematic representation of relationships between sustainable food security, food availability, and nutrition and health outcomes. F &amp; V = fruit and vegetable; NCD = non-communicable disease; SDGs = sustainable development goals. Apricot text boxes refer to SDGs.Blue text boxes represent components of the ‘Uitlization’ pillar to which indicators of sustainability are applied. Green text boxes represent components of the ‘Availability’ pillar, the basis of food security. Arrows indicate direction of contribution when variation in sustainability indicators occur. The time axis on the left represents the time dimension of food security.</p>
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14 pages, 1930 KiB  
Article
Cardiovascular Risk Assessment in the Immediate Postoperative Period of Bariatric Surgery
by Letícia de Oliveira Souza Bratti, Ana Carolina Martins, Bruno Fonseca Nunes, Emerita Quintina de Andrade Moura, Ana Carolina Rabello de Moraes and Fabíola Branco Filippin-Monteiro
Obesities 2025, 5(1), 5; https://doi.org/10.3390/obesities5010005 - 22 Jan 2025
Viewed by 321
Abstract
Objectives: Since obesity and overweight are strongly associated with cardiovascular diseases, we investigated cardiovascular events risk in individuals who lost weight through bariatric surgery. Methods: Serum levels of glucose, insulin, triacylglycerol, HDL cholesterol, non-HDLDL cholesterol, and lipoprotein ratios were assessed in patients with [...] Read more.
Objectives: Since obesity and overweight are strongly associated with cardiovascular diseases, we investigated cardiovascular events risk in individuals who lost weight through bariatric surgery. Methods: Serum levels of glucose, insulin, triacylglycerol, HDL cholesterol, non-HDLDL cholesterol, and lipoprotein ratios were assessed in patients with obesity before and after bariatric surgery, including a 6-month follow-up period. Results: Bariatric surgery significantly improved BMI, triglyceride levels, glucose, and insulin sensitivity. However, HDL cholesterol levels dropped sharply in the first month (p < 0.0001), coinciding with elevated atherogenic indices, indicating a transient increase in cardiovascular risk. By 6 months, indices improved significantly, HDL recovered, and LDL particle size increased, suggesting reduced atherogenic potential. Conclusions: Individuals undergoing bariatric surgery have a higher cardiovascular events risk in the immediate postoperative period. Health professionals should be aware of and monitor these patients closely. Full article
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<p>Fasting glucose (<b>A</b>), insulin (<b>B</b>), HDL cholesterol (<b>C</b>), non-HDL cholesterol, in subfigure C a red line was drawn to separate participants with HDL above and below 40 mg/dL (<b>D</b>), triglycerides (<b>E</b>), Castelli-I index (<b>F</b>), Castelli-II index (<b>G</b>), TG/HDL cholesterol (<b>H</b>) and non-HDL/HDL cholesterol (<b>I</b>) before, 1, 3, and 6 months after bariatric surgery. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>HDL cholesterol levels are above and below the reference value percentage. RV: reference value. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Results expressed in individual values and the median. (<b>A</b>) HDL particle size (nm); (<b>B</b>) individual analysis of HDL particle size; (<b>C</b>) PoI. Wilcoxon test was applied in (<b>A</b>,<b>B</b>), (<span class="html-italic">p</span> &gt; 0.05). Source: Prepared by the author.</p>
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<p>Results expressed in individual values and the median. (<b>A</b>) LDL particle size (nm), (<b>B</b>) Atherogenicity Index of Plasma; (<b>C</b>) Castelli Index I; (<b>D</b>) Castelli Index II; Wilcoxon test. *** <span class="html-italic">p</span> &lt; 0.05. Source: Prepared by the author.</p>
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11 pages, 551 KiB  
Article
Perceptions and Utilization of Registered Dietitian Nutritionists in Multiple Sclerosis Care: A Pilot Survey of Multidisciplinary Providers
by Olivia Wills, Alaina Bradford, Mona Bostick, Yasmine Probst and Tyler J. Titcomb
Nutrients 2025, 17(3), 385; https://doi.org/10.3390/nu17030385 - 22 Jan 2025
Viewed by 366
Abstract
Background/Objectives: Registered dietitian nutritionists (RDNs) are allied healthcare professionals who can help people with multiple sclerosis (MS) incorporate healthy eating, but little is known about their involvement in MS care. Thus, the objective of this survey was to investigate the perceptions and utilization [...] Read more.
Background/Objectives: Registered dietitian nutritionists (RDNs) are allied healthcare professionals who can help people with multiple sclerosis (MS) incorporate healthy eating, but little is known about their involvement in MS care. Thus, the objective of this survey was to investigate the perceptions and utilization of RDNs in MS care among multidisciplinary MS providers in the United States and Canada. Methods: An online survey was disseminated via the Consortium of MS Centers email listserv and MS-specific scientific conferences. The survey queried practitioner type, RDN referrals, the perceived benefits of RDNs in MS care, and the proportion of their patients who follow ‘MS diets’ or have nutrition-related issues. Reasons for or against RDN referral and beneficial resources were also queried. Results: Of the 60 completed surveys, respondents were primarily neurologists (n = 27, 45.0%). Most (n = 43, 71.7%) indicated that half or more of their patients inquire about diet, but n = 32 (53.3%) indicated that very few follow an ‘MS diet’ and n = 47 (78.3%) indicated that very few decline disease-modifying therapies to follow an ‘MS diet’. Most (n = 45, 77.6%) respondents indicated referring their patients to a RDN with lack of nutrition knowledge/general healthy eating advice (n = 34, 73.9%) and overweight/obesity (n = 31, 67.4%) as being the most common reasons for referral. RDNs were reported as being helpful or extremely helpful by n = 38 (84.4%) of respondents who reported referring to RDNs. Most (n = 46, 79.3%) indicated that their patients would benefit from having an RDN with MS-specialized training as a member of staff. Conclusions: MS care providers support the need for RDNs with specialized training in MS care. Full article
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<p>Reported approximate proportions of patients with MS exhibiting diet-related characteristics. Bars of different colors represent the percent of respondents selecting the corresponding option. Abbreviations: disease-modifying therapy, DMT; multiple sclerosis, MS.</p>
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<p>Reported resources that would be helpful to MS care providers and their patients. Bars represent the percent of participants selecting ‘yes’ for the corresponding option. Statistical significance is determined by chi-square test of independence and indicated by ** for <span class="html-italic">p</span> ≤ 0.01 and *** for <span class="html-italic">p</span> ≤ 0.001.</p>
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16 pages, 2008 KiB  
Article
Reasons Behind (Un)Healthy Eating Among School-Age Children in Southern Peru
by Karina Eduardo, José Carlos Velásquez, Jhony Mayta-Hancco, Juan D. Rios-Mera, Michelle Lozada-Urbano and Erick Saldaña
Foods 2025, 14(3), 348; https://doi.org/10.3390/foods14030348 - 21 Jan 2025
Viewed by 669
Abstract
In recent decades, rates of childhood overweight and obesity have increased worldwide, surpassing those of adults. Understanding the factors influencing children’s food choices is essential to promote healthy eating habits. This study examined why school-aged children make healthy and unhealthy food choices and [...] Read more.
In recent decades, rates of childhood overweight and obesity have increased worldwide, surpassing those of adults. Understanding the factors influencing children’s food choices is essential to promote healthy eating habits. This study examined why school-aged children make healthy and unhealthy food choices and how parents’ eating habits influence their children’s choices. Children’s ability to rank 25 food pictures according to their healthfulness was assessed using a free sorting task (FST), while parents made a free list of healthy and unhealthy foods, and the cognitive salience index (CSI) was calculated. Children were grouped into two groups based on their responses: one mainly from Moquegua and the other from Puno. In general, children from Moquegua demonstrated a greater ability to identify healthy foods than those from Puno. The CSI provided information on healthy and unhealthy foods in each region. These findings underline the potential of selecting palatable and healthy foods to improve children’s diets in the short term and contribute to the development of healthier products in the food industry. In addition, studies in other regions of Peru are recommended to understand children’s perceptions better. Full article
(This article belongs to the Section Food Nutrition)
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<p>Adaptation of the structured FST using food images and predefined categories, based on Varela and Salvador [<a href="#B29-foods-14-00348" class="html-bibr">29</a>].</p>
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<p>Dendrogram of participating children based on Euclidean distances (own elaboration).</p>
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<p>Two-dimensional representation of the foods grouped by the children in Cluster 1 (own elaboration).</p>
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<p>Two-dimensional representation of the foods grouped by the children in Cluster 2 (own elaboration).</p>
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<p>Cognitive salience index of Moquegua parents (<b>a</b>) healthy food and (<b>b</b>) unhealthy foods (own elaboration).</p>
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<p>Cognitive salience index of Juliaca–Puno parents for (<b>a</b>) healthy foods and (<b>b</b>) unhealthy foods (own elaboration).</p>
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