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12 pages, 3892 KiB  
Article
Validation of Citizen Science Meteorological Data: Can They Be Considered a Valid Help in Weather Understanding and Community Engagement?
by Nicola Loglisci, Massimo Milelli, Juri Iurato, Timoteo Galia, Antonella Galizia and Antonio Parodi
Sensors 2024, 24(14), 4598; https://doi.org/10.3390/s24144598 - 16 Jul 2024
Viewed by 1554
Abstract
Citizen science has emerged as a potent approach for environmental monitoring, leveraging the collective efforts of volunteers to gather data at unprecedented scales. Within the framework of the I-CHANGE project, MeteoTracker, a citizen science initiative, was employed to collect meteorological measurements. Through MeteoTracker, [...] Read more.
Citizen science has emerged as a potent approach for environmental monitoring, leveraging the collective efforts of volunteers to gather data at unprecedented scales. Within the framework of the I-CHANGE project, MeteoTracker, a citizen science initiative, was employed to collect meteorological measurements. Through MeteoTracker, volunteers contributed to a comprehensive dataset, enabling insights into local weather patterns and trends. This paper presents the analysis and the results of the validation of such observations against the official Italian civil protection in situ weather network, demonstrating the effectiveness of citizen science in generating valuable environmental data. The work discusses the methodology employed, including data collection and statistical analysis techniques, i.e., time-series analysis, spatial and temporal interpolation, and correlation analysis. The overall analysis highlights the high quality and reliability of citizen-generated data as well as the strengths of the MeteoTracker platform. Furthermore, our findings underscore the potential of citizen science to augment traditional monitoring efforts, inform decision-making processes in environmental research and management, and improve the social awareness about environmental and climate issues. Full article
(This article belongs to the Section Environmental Sensing)
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<p>The MeteoTracker device (on the <b>left</b>) and an example of installation on board a bicycle (on the <b>right</b>).</p>
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<p>The design adopted for the research.</p>
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<p>The Italian OWN surrounding the city of Genoa used for comparison (<b>left</b>) and an example of the MT points used for the validation (<b>right</b>).</p>
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<p>Scatter plot for temperature data coming from MT on board AMT vs. OWN stations (red circle indicates the location of the corresponding OWN station).</p>
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<p>Scatter plot for temperature data coming from MT on board AMT vs. OWN stations (red circle indicates the location of the corresponding OWN station).</p>
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<p>Scatter plot for temperature data coming from MT on-board bicycles and boats vs. OWN stations (red circle indicates the location of the corresponding OWN station).</p>
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<p>Scatter plot for temperature data coming from MT on-board bicycles and boats vs. OWN stations (red circle indicates the location of the corresponding OWN station).</p>
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<p>Box plots for temperature data coming from MT (AMT top left, cyclists top right, and boats bottom left) and OWN stations. With a standard notation for the box plots, the circles in the Figure represent the outlier.</p>
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22 pages, 4484 KiB  
Article
A New Species of Diploderma (Squamata, Agamidae) from the Valley of Dadu River in Sichuan Province, with a Redescription of Topotypes of D. splendidum from Hubei Province, China
by Bo Cai, Fengjing Liu, Dong Liang, Mian Hou, Huaming Zhou, Jiayun Zhong, Jing Li and Jiang Chang
Animals 2024, 14(9), 1344; https://doi.org/10.3390/ani14091344 - 29 Apr 2024
Cited by 1 | Viewed by 2473
Abstract
This study describes a novel species of Diploderma (Squamata, Agamidae) from the lower valley of the Dadu River of the Sichuan Province of Western China based on its distinct morphological features and molecular evidence. D. daduense sp. nov. can be distinguished from its [...] Read more.
This study describes a novel species of Diploderma (Squamata, Agamidae) from the lower valley of the Dadu River of the Sichuan Province of Western China based on its distinct morphological features and molecular evidence. D. daduense sp. nov. can be distinguished from its congeners by its tympanum concealed; head mainly green-yellow, supplemented by black; skin folds under the nuchal and dorsal crest obviously present in adult males only, its vertebral crest discontinuous between nuchal and dorsal sections with a distinct gap; transverse gular fold present but not obvious in some individuals; gular spot absent in both sexes; dorsolateral stripes green-yellow anteriorly, cyan in the center and blurry off-white posteriorly in adult males, the upper edge of dorsolateral stripes strongly jagged in adult males; no radial stripes around the eyes; inner-lip coloration smoky-white, and the coloration of the tongue and oral cavity as a light-flesh color in life; bright green-yellow transverse stripes on dorsal body in males; black patches are evenly distributed along the vertebral line between the dorsolateral stripes from the neck to the base of the tail in males; beech-brown or gray-brown line along the vertebral line with heart-shaped or diamond-shaped black patches on the dorsal body in females; and supratemporals fewer than four on at least one side. The phylogenetic tree based on mitochondrial ND2 sequences indicates that D. daduense sp. nov. forms an independent clade with strong support 1/100 in ML bootstrap/Bayesian posterior probability and is the sister group to D. splendidum. At the inter-species level, the p-distance is at least 6.95%, further confirming that an independent species had been identified. Our work raises the number of species within the genus Diploderma to 47. Full article
(This article belongs to the Section Herpetology)
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<p>A map showing the locations of <span class="html-italic">Diploderma</span> specimens in the Dadu River Valley (<b>B</b>) and the locations of <span class="html-italic">D. splendidum</span> topotypes in Yichang (<b>A</b>,<b>C</b>). The red five-pointed star is <span class="html-italic">D. daduense</span> sp. nov., the green triangle is <span class="html-italic">D. flaviceps</span>, the yellow circle is <span class="html-italic">D. splendidum</span>, and the blue square is <span class="html-italic">D. danbaense</span>. The dotted coil represents the approximate distribution range of species in and around the Dadu Valley, and the dotted line represents the approximate distribution boundary of these species. The elevation data were obtained from Geospatial Data Cloud (2022).</p>
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<p>The phylogenetic tree of the genus <span class="html-italic">Diploderma</span> inferred from the mitochondrial <span class="html-italic">ND2</span> (974 bp). ML bootstrap support/Bayesian posterior probability support is denoted above each node. The maximum parsimony strict consensus tree for the <span class="html-italic">Diploderma</span> species is inferred from <span class="html-italic">ND2</span> gene fragments by using IQ-TREE v2.2.0 [<a href="#B20-animals-14-01344" class="html-bibr">20</a>]; the <span class="html-italic">ND2</span> gene majority-rule consensus tree for the <span class="html-italic">Diploderma</span> species is inferred from partitioned Bayesian analyses by using MrBayes v3.2.7a [<a href="#B21-animals-14-01344" class="html-bibr">21</a>]. In view of the unique clades of the Yibin and Leibo populations, sp.1 and sp.2 are used instead, respectively.</p>
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<p>PCA based on ten morphometric characteristics (SVL, TAL, HL, HW, HD, SEL, FLL, HLL, T4L, and TRL) for <span class="html-italic">Diploderma daduense</span> sp. nov. (red), <span class="html-italic">D. flaviceps</span> (green), and <span class="html-italic">D. splendidum</span> (blue). Numbers inside the brackets indicate the percentages of the total variance explained by each axis.</p>
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<p>Topotypes of <span class="html-italic">Diploderma splendidum</span> in life. CB2021Y29 (male) dorsal view (<b>A</b>), lateral view (<b>B</b>), and ventral view (<b>C</b>); CB2021Y12 (female) dorsal view (<b>D</b>); CB2021Y44 (Juveniles) dorsal view (<b>E</b>); habitats of new species (<b>F</b>).</p>
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<p>Comparison of males of two species in life. <span class="html-italic">Diploderma splendidum</span> CB2021Y29 lateral view (<b>A</b>), ventral view (<b>B</b>); <span class="html-italic">D</span>. <span class="html-italic">daduense</span> sp. nov. CIB119364 lateral view (<b>C</b>), ventral view (<b>D</b>).</p>
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<p>Types of <span class="html-italic">Diploderma daduense</span> sp. nov. in life. Holotype CIB119364 (male) lateral view (<b>A</b>), dorsal view (<b>B</b>), and ventral view (<b>C</b>); allotype YBU−GP9889 (female) lateral view (<b>D</b>), dorsal view (<b>E</b>); habitats of new species (<b>F</b>).</p>
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17 pages, 775 KiB  
Article
COVID-19 Vaccine Hesitancy: The Role of Information Sources and Beliefs in Dutch Adults
by Hein de Vries, Wouter Verputten, Christian Preissner and Gerjo Kok
Int. J. Environ. Res. Public Health 2022, 19(6), 3205; https://doi.org/10.3390/ijerph19063205 - 9 Mar 2022
Cited by 22 | Viewed by 4034
Abstract
COVID-19 vaccine hesitancy may be regarded as a new pandemic hindering the elimination of or coping with COVID-19. This study assessed reasons for COVID-19 vaccine hesitancy using the I-Change Model (ICM) by considering the role of informational and psychosocial factors. A cross-sectional online [...] Read more.
COVID-19 vaccine hesitancy may be regarded as a new pandemic hindering the elimination of or coping with COVID-19. This study assessed reasons for COVID-19 vaccine hesitancy using the I-Change Model (ICM) by considering the role of informational and psychosocial factors. A cross-sectional online survey using a convenience sample was conducted among Dutch adults (n = 240). The questionnaire assessed information factors, predisposing factors, awareness factors, motivational factors, preparatory actions, and vaccination intention. Vaccine hesitant participants (n = 58, 24%) had lower levels of education, more often paid work, and tended to have a religion other than Catholicism. They used written media less often and tended to visit websites of public health organizations less often, but used messaging services like WhatsApp more frequently. All participants had neutral intentions towards checking information credibility. Vaccine hesitant respondents had less knowledge about vaccination, lower perceived severity of getting sick and dying of COVID-19, and reported fewer exposures to cues about the advantages of COVID-19 vaccination. They were less convinced of the emotional and rational advantages of COVID-19 vaccination and expressed more negative feelings about it. They also reported more negative social norms concerning COVID-19 vaccination, and lower self-efficacy to get vaccinated and to cope with potential side-effects. The regression model explained 58% of the variance in vaccination intention. The results suggest that strategies are needed to: 1. Reduce fake news and stimulate information checking to foster well-informed decision-making; 2. Target both rational and emotional consequences of COVID-19, in addition to strategies for optimizing levels of knowledge. Campaigns should acknowledge the perceptions of the emotional disadvantages and increase perceptions of emotional advantages of COVID-19 vaccinations, such as reducing feelings of regret, and increasing feelings of freedom and reassurance. Full article
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<p>The I-Change Model [<a href="#B18-ijerph-19-03205" class="html-bibr">18</a>].</p>
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1 pages, 271 KiB  
Correction
Correction: Beristain Iraola et al. User Centered Virtual Coaching for Older Adults at Home Using SMART Goal Plans and I-Change Model. Int. J. Environ. Res. Public Health 2021, 18, 6868
by Andoni Beristain Iraola, Roberto Álvarez Sánchez, Santiago Hors-Fraile, Despoina Petsani, Michail Timoleon, Unai Díaz-Orueta, Joanne Carroll, Louise Hopper, Gorka Epelde, Jon Kerexeta, Panagiotis D. Bamidis and Evdokimos I. Konstantinidis
Int. J. Environ. Res. Public Health 2022, 19(4), 2116; https://doi.org/10.3390/ijerph19042116 - 14 Feb 2022
Cited by 1 | Viewed by 1647
Abstract
The author would like to change the authorship in the previous publication [...] Full article
(This article belongs to the Special Issue E-health for Active Ageing)
13 pages, 279 KiB  
Article
Protein Intake among Community-Dwelling Older Adults: The Influence of (Pre-) Motivational Determinants
by Marije H. Verwijs, Annemien Haveman-Nies, Jos W. Borkent, Joost O. Linschooten, Annet J. C. Roodenburg, Lisette C. P. G. M. de Groot and Marian A. E. de van der Schueren
Nutrients 2022, 14(2), 293; https://doi.org/10.3390/nu14020293 - 11 Jan 2022
Cited by 2 | Viewed by 2598
Abstract
An adequate protein intake is important for healthy ageing, yet nearly 50% of Dutch community-dwelling older adults do not meet protein recommendations. This study explores protein intake in relation to eight behavioral determinants (I-Change model) among Dutch community-dwelling older adults. Data were collected [...] Read more.
An adequate protein intake is important for healthy ageing, yet nearly 50% of Dutch community-dwelling older adults do not meet protein recommendations. This study explores protein intake in relation to eight behavioral determinants (I-Change model) among Dutch community-dwelling older adults. Data were collected through an online questionnaire from October 2019–October 2020. Protein intake was assessed by the Protein Screener 55+, indicating a high/low chance of a low protein intake (<1.0 g/kg body weight/day). The behavioral determinants of cognizance, knowledge, risk perception, perceived cues, attitude, social support, self-efficacy and intention were assessed by evaluating statements on a 7-point Likert scale. A total of 824 Dutch community-dwelling older adults were included, recruited via online newsletters, newspapers and by personal approach. Poisson regression was performed to calculate quartile-based prevalence ratios (PRs). Almost 40% of 824 respondents had a high chance of a low protein intake. Univariate analyses indicated that lower scores for all different behavioral determinants were associated with a higher chance of a low protein intake. Independent associations were observed for knowledge (Q4 OR = 0.71) and social support (Q4 OR = 0.71). Results of this study can be used in future interventions aiming to increase protein intake in which focus should lie on increasing knowledge and social support. Full article
(This article belongs to the Special Issue Effect of Lifestyle and Diet for Older Persons' Health)
16 pages, 2658 KiB  
Study Protocol
An Animation- Versus Text-Based Computer-Tailored Game Intervention to Prevent Alcohol Consumption and Binge Drinking in Adolescents: Study Protocol
by Marta Lima-Serrano, Pablo Fernández-León, Liesbeth Mercken, José Manuel Martínez-Montilla and Hein de Vries
Int. J. Environ. Res. Public Health 2021, 18(19), 9978; https://doi.org/10.3390/ijerph18199978 - 23 Sep 2021
Cited by 5 | Viewed by 3333
Abstract
The purpose of this paper is to describe the protocol for the design, implementation, and evaluation of an animation- versus text-based computer tailoring game intervention aimed at preventing alcohol consumption and binge drinking (BD) in adolescents. A cluster-randomized controlled trial (CRCT) is carried [...] Read more.
The purpose of this paper is to describe the protocol for the design, implementation, and evaluation of an animation- versus text-based computer tailoring game intervention aimed at preventing alcohol consumption and binge drinking (BD) in adolescents. A cluster-randomized controlled trial (CRCT) is carried out in students aged 14–19 enrolled in 24 high schools from Andalusia (Spain), which are randomized either to experimental (EC-1, EC-2) or waiting-list control conditions (CC). EC-1 receives an online intervention (Alerta Alcohol) with personalized health advice, using textual feedback and several gamification techniques. EC-2 receives an improved version (Alerta Alcohol 2.0) using animated videos and new gamification strategies. Both programs consist of nine sessions (seven taking place at high school and two at home): session 1 or baseline, sessions 2 and 3 that provide tailored advice based on the I-Change Model; sessions 4, 5, 7, and 8 are booster sessions, and sessions 6 and 9 are follow-up questionnaires at six and twelve months. The CC completes the baseline and the evaluation questionnaires. The primary outcome is BD within 30 days before post-test evaluations, and as secondary outcomes we assess other patterns of alcohol use. The findings should help the development of future alcohol drinking prevention interventions in adolescents. Full article
(This article belongs to the Special Issue Risk Behaviors and Substance Abuse among Adolescents)
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<p>I-Change Model [<a href="#B18-ijerph-18-09978" class="html-bibr">18</a>].</p>
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<p>Flowchart of the intervention. * It takes place in the school environment. ** It takes place in the participant’s home.</p>
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<p>Screenshot of example story for a boy from the Alerta Alcohol 2.0 program.</p>
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<p>Screenshot of the page for choosing an avatar from the Alerta Alcohol 2.0 program.</p>
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<p>Screenshot of the page for receiving a card from the Alerta Alcohol 2.0 program.</p>
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<p>Screenshot of the page for ranking user position based on the accumulative score from the Alerta Alcohol 2.0 website.</p>
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24 pages, 3596 KiB  
Article
User Centered Virtual Coaching for Older Adults at Home Using SMART Goal Plans and I-Change Model
by Andoni Beristain Iraola, Roberto Álvarez Sánchez, Santiago Hors-Fraile, Despoina Petsani, Michail Timoleon, Unai Díaz-Orueta, Joanne Carroll, Louise Hopper, Gorka Epelde, Jon Kerexeta, Panagiotis D. Bamidis and Evdokimos I. Konstantinidis
Int. J. Environ. Res. Public Health 2021, 18(13), 6868; https://doi.org/10.3390/ijerph18136868 - 26 Jun 2021
Cited by 7 | Viewed by 5650 | Correction
Abstract
Preventive care and telemedicine are expected to play an important role in reducing the impact of an increasingly aging global population while increasing the number of healthy years. Virtual coaching is a promising research area to support this process. This paper presents a [...] Read more.
Preventive care and telemedicine are expected to play an important role in reducing the impact of an increasingly aging global population while increasing the number of healthy years. Virtual coaching is a promising research area to support this process. This paper presents a user-centered virtual coach for older adults at home to promote active and healthy aging and independent living. It supports behavior change processes for improving on cognitive, physical, social interaction and nutrition areas using specific, measurable, achievable, relevant, and time-limited (SMART) goal plans, following the I-Change behavioral change model. Older adults select and personalize which goal plans to join from a catalog designed by domain experts. Intervention delivery adapts to user preferences and minimizes intrusiveness in the user’s daily living using a combination of a deterministic algorithm and incremental machine learning model. The home becomes an augmented reality environment, using a combination of projectors, cameras, microphones and support sensors, where common objects are used for projection and sensed. Older adults interact with this virtual coach in their home in a natural way using speech and body gestures on projected user interfaces with common objects at home. This paper presents the concept from the older adult and the caregiver perspectives. Then, it focuses on the older adult view, describing the tools and processes available to foster a positive behavior change process, including a discussion about the limitations of the current implementation. Full article
(This article belongs to the Special Issue E-health for Active Ageing)
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<p>I-Change and SMART coaching.</p>
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<p>I-Change behavior change model [<a href="#B25-ijerph-18-06868" class="html-bibr">25</a>].</p>
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<p>Physical view of CAPTAIN coaching platform.</p>
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<p>Older adult perspective of the virtual coaching ecosystem.</p>
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<p>Caregiver perspective of the virtual coaching ecosystem.</p>
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<p>SMART goal plugin structure schema.</p>
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<p>Proposed older adult coaching framework.</p>
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<p>Incremental learning ML model training and inference.</p>
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<p>Coaching intervention tools in different timescales.</p>
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<p>Coffee review progress, overall performance.</p>
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<p>Coffee review progress, goal finish suggestion.</p>
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<p>Join goal in coffee session. (<b>a</b>) Select goal category; (<b>b</b>) select goal in category.</p>
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<p>Join goal in coffee session. (<b>a</b>) Goal description and requirements; (<b>b</b>) set goal difficulty.</p>
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<p>Join goal in coffee session. (<b>a</b>) Plan summary and confirmation; (<b>b</b>) confirmation and motivational message.</p>
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<p>Preview target activities next week and reminder for next week. (<b>a</b>) See the target activities for next week; (<b>b</b>) reminder for next week’s coffee.</p>
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<p>Mock-up for motivational day agenda.</p>
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<p>Day insight goal performance.</p>
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21 pages, 1508 KiB  
Article
Why Healthcare and Education Professionals Underreport Suspicions of Child Abuse: A Qualitative Study
by Jeanne Gubbels, Mark Assink, Peter Prinzie and Claudia E. van der Put
Soc. Sci. 2021, 10(3), 98; https://doi.org/10.3390/socsci10030098 - 10 Mar 2021
Cited by 21 | Viewed by 10190
Abstract
Education and healthcare professionals are crucial in detecting and reporting child abuse and neglect. However, signs of child abuse are often undetected, and professionals tend to underreport their suspicions of abuse and neglect. This qualitative study aimed to examine experiences, attitudes, perspectives, and [...] Read more.
Education and healthcare professionals are crucial in detecting and reporting child abuse and neglect. However, signs of child abuse are often undetected, and professionals tend to underreport their suspicions of abuse and neglect. This qualitative study aimed to examine experiences, attitudes, perspectives, and decision-making skills of healthcare and education professionals with regard to identifying and reporting child abuse and to gain insight into how detection and reporting can be improved. Semi-structured interviews were conducted with 49 Dutch professionals working in child health care, mental health care, primary schools, and secondary schools. The I-Change model was used as a theoretical framework to organize the results. Many professionals believe they miss child abuse signs in their daily work, partially due to a lack of focus on child abuse. Further, professionals indicated having insufficient knowledge of child abuse, and lack communication skills to detect or discuss signs indicative of child abuse in conversations with parents or children. As for risk assessment, professionals barely use structured instruments even though these are regarded as very helpful in the decision-making process. Finally, professionals experience deficits in the cooperation with child welfare organizations, and in particular with Child Protective Services (CPS). Various directions for improvement were discussed to overcome barriers in child abuse detection and reporting, including developing tools for detecting and assessing the risk of child abuse and improving communication and information transfer between organizations. Full article
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<p>A concept map of the results as related to the awareness phase of the I-Change model. The labels on the second level refer to the determinants of the awareness phase, the labels on the third level refer to the key themes, and the labels on the fourth level refer to the subthemes. Subthemes with <span class="html-italic">purple</span> labels are relevant for all groups of professionals, subthemes with <span class="html-italic">red</span> labels are relevant for three groups, subthemes with <span class="html-italic">orange</span> labels for two groups, and subthemes with <span class="html-italic">yellow</span> subtheme for one group of professionals. The specific groups of professionals for which the subthemes were applicable, are presented in parentheses. CHC = child health care professionals; MHC = mental health care professionals; PS = primary school professionals; HS = high school professionals.</p>
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<p>A concept map of the results as related to the motivation phase of the I-Change model. The labels on the second level refer to the determinants of the motivation phase, the labels on the third level refer to the key themes, and the labels on the fourth level refer to the subthemes. Subthemes with <span class="html-italic">purple</span> labels are relevant for all groups of professionals, subthemes with <span class="html-italic">red</span> labels are relevant for three groups, subthemes with <span class="html-italic">orange</span> labels for two groups, and subthemes with <span class="html-italic">yellow</span> subtheme for one group of professionals. The specific groups of professionals for which the subthemes were applicable, are presented in parentheses. CHC = child health care professionals; MHC = mental health care professionals; PS = primary school professionals; HS = high school professionals.</p>
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<p>A concept map of the results as related to the action phase of the I-Change model. The labels on the second level refer to the determinants of the action phase, the labels on the third level refer to the key themes, and the labels on the fourth level refer to the subthemes. Subthemes with <span class="html-italic">purple</span> labels are relevant for all groups of professionals, subthemes with <span class="html-italic">red</span> labels are relevant for three groups, subthemes with <span class="html-italic">orange</span> labels for two groups, and subthemes with <span class="html-italic">yellow</span> subtheme for one group of professionals. The specific groups of professionals for which the subthemes were applicable, are presented in parentheses. CHC = child health care professionals; MHC = mental health care professionals; PS = primary school professionals; HS = high school professionals.</p>
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13 pages, 1303 KiB  
Article
Combining the Integrated-Change Model with Self-Determination Theory: Application in Physical Activity
by Kei Long Cheung, Sander Matthijs Eggers and Hein de Vries
Int. J. Environ. Res. Public Health 2021, 18(1), 28; https://doi.org/10.3390/ijerph18010028 - 23 Dec 2020
Cited by 3 | Viewed by 4021
Abstract
Background: Critically testing and integrating theoretical models can aid health promotion research and intervention planning. This study aimed to critically compare and integrate Self-Determination Theory (SDT) and Integrated-Change Model (ICM) for explaining physical activity behaviour. Methods: A dataset was used with [...] Read more.
Background: Critically testing and integrating theoretical models can aid health promotion research and intervention planning. This study aimed to critically compare and integrate Self-Determination Theory (SDT) and Integrated-Change Model (ICM) for explaining physical activity behaviour. Methods: A dataset was used with Dutch adults, consisting of information on demographics and socio–cognitive and behavioural determinants. There were three measurements over a period of six months, with the baseline sample consisting of 1867 participants. Confirmatory factor analysis was conducted to assess the reliability of the items and their corresponding scales. To examine cognitive pathways, we applied Structural Equation Modelling (SEM). Results: For SDT, none of the pathways were significant but the model fit was decent (R2 = 0.20; RMSEA = 0.07; CFI = 0.91). For ICM, the model fit was similar (R2 = 0.19; RMSEA = 0.07; CFI = 0.73), with many significant pathways, as stipulated by the theory. The integration of STD and ICM constructs revealed similar explained behavioural variance (R2 = 21%), with no significantly different model fit. Conclusion: The integration of SDT and ICM added no value as a prediction model. However, the integrated model explains the underlying mechanism of STD constructs, as well as the determinants of attitude, social influences, and self-efficacy. In the context of intervention design, ICM or the integrated model seem most useful as it reveals the stages and pathways to behaviour change. Full article
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<p>Unstandardized regression coefficients for Self-Determination Theory (SDT).</p>
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<p>Unstandardized regression coefficients for ICM.</p>
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<p>Unstandardized regression coefficients for the integrated model.</p>
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21 pages, 439 KiB  
Article
Why are Spanish Adolescents Binge Drinkers? Focus Group with Adolescents and Parents
by José Manuel Martínez-Montilla, Liesbeth Mercken, Marta Lima-Serrano, Hein de Vries and Joaquín S. Lima-Rodríguez
Int. J. Environ. Res. Public Health 2020, 17(10), 3551; https://doi.org/10.3390/ijerph17103551 - 19 May 2020
Cited by 13 | Viewed by 4005
Abstract
Binge drinking in adolescents is a worldwide public healthcare problem. The aim of this study was to explore the perceptions about determinants of binge drinking in Spanish adolescents from the perspective of adolescents and parents. A qualitative study using fourteen semi-structured focus groups [...] Read more.
Binge drinking in adolescents is a worldwide public healthcare problem. The aim of this study was to explore the perceptions about determinants of binge drinking in Spanish adolescents from the perspective of adolescents and parents. A qualitative study using fourteen semi-structured focus groups of adolescents was conducted during the 2014/2015 school year (n = 94), and four with parents (n = 19), based on the I-Change Model for health behaviour acquisition. Students had a low level of knowledge and risk perception and limited self-efficacy. Girls reported more parental control, and when they get drunk, society perceives them worse. Adolescents suggested focus preventive actions to improve self-efficacy and self-esteem. Parents were permissive about alcohol drinking but rejected binge drinking. They offered alcohol to their children, mainly during celebrations. A permissive family environment, lack of control by parents, adolescents’ low-risk perception, low self-esteem and self-efficacy, as well as the increase of binge drinking in girls as part of the reduction of the gender gap, emerge as risk factors for binge drinking. Future health programmes aimed at reducing binge drinking should focus on enhancing motivational factors, self-esteem, and self-efficacy in adolescents; supervision and parental control; as well as pre-motivational factors by increasing knowledge and risk awareness, considering gender differences. Full article
(This article belongs to the Special Issue Risk Behaviors and Substance Abuse among Adolescents)
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