Characteristics of built food environments associated with alternative protein food choices: a systematic review.

BACKGROUND: This systematic review contributes to the understanding of the characteristics of built food environments that may be associated with choices of alternative protein foods (APF). Using the built food environment typology proposed by Downs et al., we investigated various environmental structures (e.g., supermarkets, other retailers, farmers' markets, restaurants, schools, and online vendors) and the characteristics that may facilitate or hinder consumers' choices. For example, facilitators and barriers may refer to the physical characteristics of environmental structures, food presentation practices, the organizational strategies or policies operating in the setting, or the actions that retailers or consumers engage in while selling, serving, choosing, trying, or purchasing APF in these environmental structures. METHODS: A systematic review (PROSPERO database preregistration; no. CRD42023388700) was conducted by searching 13 databases for peer-reviewed journals focusing on the fields of economics and business, agriculture, medical sciences, and social sciences. Data searches, coding, and quality evaluations were conducted by at least 2 researchers. A total of 31 papers (36 original studies) were included. The risk of bias was evaluated with the Joanna Briggs Institute quality evaluation tool, with 24 publications presenting low risk of bias. RESULTS: The findings indicate that perceived and actual availability facilitate consumers' APF choices across a built food environment. Several barriers/facilitators were associated with APF choices in specific types of built food environments: the way food is presented in produce sections (supermarkets), consumer habits in terms of green and specialty shopping (grocery stores), and mismatches among retailer actions in regard to making APF available in one type of food environment structure (e-commerce) and consumers' preferences for APF being available in other food environment structures (supermarkets, grocery stores). The effect of a barrier/facilitator may depend on the APF type; for example, social norms regarding masculinity were a barrier affecting plant-based APF choices in restaurants, but these norms were not a barrier affecting the choice of insect-based APF in restaurants. CONCLUSIONS: Addressing barriers/facilitators identified in this review will help in developing environment-matching interventions that aim to make alternative proteins mainstream. TRIAL REGISTRATION: PROSPERO database registration: #CRD42023388700.

The Dyadic Interplay Between Relationship Satisfaction, Perceived Positive and Negative Social Control, and a Reduction of Sedentary Behavior Time.

BACKGROUND: Both the close relationship processes and health model and the dyadic health influence model posit that beliefs about the relationship (e.g., relationship satisfaction) and influence strategies (e.g., social control) serve as mediators of health behavior change. The evidence for such mediation is limited. PURPOSE: This study investigated two competing hypotheses that arise from these models: (1) perceived use of positive and negative social control (attempts to influence the partner's behaviors) predict sedentary behavior (SB) indirectly, via relationship satisfaction; or (2) relationship satisfaction predicts SB indirectly, via positive and negative social control. METHODS: Data from 320 dyads (target persons and their partners, aged 18-90 years), were analyzed using mediation models. SB time was measured with GT3X-BT accelerometers at Time 1 (T1; baseline) and Time 3 (T3; 8 months following baseline). Relationship satisfaction and social control were assessed at T1 and Time 2 (T2; 2 months following baseline). RESULTS: Higher T1 relationship satisfaction among target persons predicted target persons' reporting of higher T2 negative control from partners, which in turn predicted lower T3 SB time among target persons. Lower T1 relationship satisfaction among partners predicted target persons' reporting of higher T2 perceived negative control from partners, which predicted lower T3 SB time among target persons. On average, both members of the dyad reported moderate-to-high relationship satisfaction and low-to-moderate negative control. CONCLUSIONS: In contrast to very low levels of negative control, its low-to-moderate levels may be related to beneficial behavioral effects (lower SB time) among target persons reporting moderate-to-high relationship satisfaction.

Good practice recommendations on implementation evaluation for policies targeting diet, physical activity, and sedentary behaviour.

Health policies aim to achieve specific health goals through system-level changes, unlike common health interventions that focus on promoting specific health behaviors on individual level. However, reliable data on the feasibility and implementation of policy actions across Europe are lacking. Moreover, no practice-oriented guidance exists for policy makers and implementers on how to evaluate policy implementation.As part of the Policy Evaluation Network, we aimed to synthesise knowledge on how to evaluate the implementation of policies promoting healthy diets, physical activity, and reducing sedentary behaviours. The multidisciplinary working group comprised 16 researchers and conducted two scoping reviews, three systematic reviews, two meta-reviews, two qualitative case studies and one quantitative case study over three years. The target populations included the general population, those at risk for obesity, and school children. Based on these reviews and case studies, this article summarises and presents the findings and lessons learned regarding the implementation evaluation of policies in nine case reports.Drawing on these experiences, three critical requirements for policy implementation evaluation were set: 1) conduct a comprehensive policy implementation evaluation from a multi-level perspective, 2) use implementation frameworks to address processes, determinants, and outcomes, and 3) engage relevant stakeholders in policy implementation evaluation. Finally, the consensus process resulted in 10 steps for the implementation evaluation of policies to promote physical activity and a healthy diet and to reduce sedentary behaviours, which adhere to the requirements and resources of the targeted policy.The findings of an implementation evaluation can lead to a better understanding of why policies work or not and can serve as a basis for developing solutions. This practice-oriented guidance outlines factors that should be considered in policy implementation evaluation to address its complexity. In this way, involved researchers and practitioners are empowered to engage in the evaluation process to close the knowledge gap regarding policy implementation.

The Interplay Between Strictness of Policies and Individuals' Self-Regulatory Efforts: Associations with Handwashing During the COVID-19 Pandemic.

BACKGROUND: Patterns of protective health behaviors, such as handwashing and sanitizing during the COVID-19 pandemic, may be predicted by macro-level variables, such as regulations specified by public health policies. Health behavior patterns may also be predicted by micro-level variables, such as self-regulatory cognitions specified by health behavior models, including the Health Action Process Approach (HAPA). PURPOSE: This study explored whether strictness of containment and health policies was related to handwashing adherence and whether such associations were mediated by HAPA-specified self-regulatory cognitions. METHODS: The study (NCT04367337) was conducted among 1,256 adults from Australia, Canada, China, France, Gambia, Germany, Israel, Italy, Malaysia, Poland, Portugal, Romania, Singapore, and Switzerland. Self-report data on cross-situational handwashing adherence were collected using an online survey at two time points, 4 weeks apart. Values of the index of strictness of containment and health policies, obtained from the Oxford COVID-19 Government Response Tracker database, were retrieved twice for each country (1 week prior to individual data collection). RESULTS: Across countries and time, levels of handwashing adherence and strictness of policies were high. Path analysis indicated that stricter containment and health policies were indirectly related to lower handwashing adherence via lower self-efficacy and self-monitoring. Less strict policies were indirectly related to higher handwashing adherence via higher self-efficacy and self-monitoring. CONCLUSIONS: When policies are less strict, exposure to the SARS-CoV-2 virus might be higher, triggering more self-regulation and, consequently, more handwashing adherence. Very strict policies may need to be accompanied by enhanced information dissemination or psychosocial interventions to ensure appropriate levels of self-regulation.

Frameworks for implementation of policies promoting healthy nutrition and physically active lifestyle: systematic review.

BACKGROUND: Policy frameworks focusing on policy implementation may vary in terms of their scope, included constructs, relationships between the constructs, and context factors. Although multiple policy implementation frameworks exist, the overarching synthesis characterizing differences between the frameworks is missing. This study investigated frameworks guiding implementation of policies aiming at healthy nutrition, physical activity promotion, and a reduction of sedentary behavior. In particular, we aimed at examining the scope of the frameworks and the content of included constructs (e.g., referring to implementation processes, determinants, or implementation evaluation), the level at which these constructs operate (e.g., the individual level, the organizational/community level), relationships between the constructs, and the inclusion of equity factors. METHODS: A systematic review (the PROSPERO registration no. CRD42019133251) was conducted using 9 databases and 8 stakeholder websites. The content of 38 policy implementation frameworks was coded and analyzed. RESULTS: Across the frameworks, 47.4% (18 in 38) addressed three aims: description of the process, determinants, and the evaluation of implementation. The majority of frameworks (65.8%; 25 in 38) accounted for constructs from three levels: individual, organizational/community, and the system level. System-level constructs were included less often (76.3%; 29 in 38) than individual-level or organizational/community-level constructs (86.8% [33 in 38 frameworks] and 94.7% [36 in 38 frameworks] respectively). The majority of frameworks (84.2%, 32 in 38) included at least some sections that were solely of descriptive character (a list of unassociated constructs); 50.0% (19 in 38) included sections of prescriptive character (general steps of implementation); 60.5% (23 in 38) accounted for explanatory sections (assuming bi- or uni-directorial associations). The complex system approach was accounted for only in 21.1% (8 in 38) of frameworks. More than half (55.3%; 21 in 38) of frameworks did not account for any equity constructs (e.g., socioeconomic status, culture). CONCLUSIONS: The majority of policy implementation frameworks have two or three aims (combining processes, determinants and/or the evaluation of implementation), include multi-level constructs (although the system-level determinants are less frequently included than those from the individual- or organizational/community-level), combine sections of purely descriptive character with sections accounting for prescriptive and/or explanatory associations, and are likely to include a little or no equity constructs. REGISTRATION: PROSPERO, #CRD42019133251.

Social, economic, political, and geographical context that counts: meta-review of implementation determinants for policies promoting healthy diet and physical activity.

BACKGROUND: This meta-review investigated the context-related implementation determinants from seven domains (geographical, epidemiological, sociocultural, economic, ethics-related, political, and legal) that were systematically indicated as occurring during the implementation of obesity prevention policies targeting a healthy diet and a physically active lifestyle. METHODS: Data from nine databases and documentation of nine major stakeholders were searched for the purpose of this preregistered meta-review (#CRD42019133341). Context-related determinants were considered strongly supported if they were indicated in ≥60% of the reviews/stakeholder documents. The ROBIS tool and the Methodological Quality Checklist-SP were used to assess the quality-related risk of bias. RESULTS: Published reviews (k = 25) and stakeholder documents that reviewed the evidence of policy implementation (k = 17) were included. Across documents, the following six determinants from three context domains received strong support: economic resources at the macro (66.7% of analyzed documents) and meso/micro levels (71.4%); sociocultural context determinants at the meso/micro level, references to knowledge/beliefs/abilities of target groups (69.0%) and implementers (73.8%); political context determinants (interrelated policies supported in 71.4% of analyzed reviews/documents; policies within organizations, 69.0%). CONCLUSIONS: These findings indicate that sociocultural, economic, and political contexts need to be accounted for when formulating plans for the implementation of a healthy diet and physical activity/sedentary behavior policies.

Development of a framework to guide research into policies promoting physical activity and healthy diets in the European context: the system-based Policy Evaluation Network (PEN) framework.

BACKGROUND: The Policy Evaluation Network (PEN) is a multidisciplinary Pan-European research consortium focussing on policies affecting dietary intake, physical activity and sedentary behaviour. At the start, the PEN consortium expressed the need for an overarching, system-based framework covering the complexities between the different domains of the policy process (design, implementation and outcomes) in order to execute all research activities in a coherent way. This article describes the PEN framework itself and its development process. METHODS: A staged approach to the development of a system-based framework was executed between February 2019 and February 2022. We started with a point-of-departure framework, made use of existing models, collected PEN outputs at different project stages (through online meetings, e-mail exchanges and workshops with PEN researchers) and drew updated versions of the framework, which resulted in the system-based PEN framework. RESULTS: The system-based PEN framework depicts the policy process as a complex system, visualizing the dynamic interrelations between and within policy domains (i.e. policy design, policy implementation and policy outcomes), the ways they interact with the context, and how to assure a focus on equity in each domain. CONCLUSIONS: The system-based PEN framework may guide researchers and professionals involved in the evaluation of health- or sustainability-related policies to consider their evaluation in a comprehensive picture, including domain interactions, contextual influences and equity considerations, as these can have important implications for the scope of their research. The stage-based process as applied for the development of the PEN framework can serve as a template for other research projects wishing to develop their own framework.

Applying a systems perspective to understand the mechanisms of the European School Fruit and Vegetable Scheme.

BACKGROUND: For the past two decades, the percentage of European children who consume fruit daily has remained at around 40%, despite numerous school-based policy efforts and interventions. This study aimed to apply a systems approach to provide an integrated perspective of the mechanisms of the European School Fruit and Vegetable Scheme (the Scheme) to understand better how to increase its long-term impact on children's fruit and vegetable consumption. METHODS: We developed a causal loop diagram by synthesizing peer-reviewed articles and national government documents related to the Scheme, following the conceptualization steps of system dynamics. The initial causal loop diagrams were then validated in three stages by consulting with experts (two individuals and a group) in school-based fruit and vegetable programmes, children's fruit and vegetable consumption and the Scheme, using disconfirmatory interview guidelines. RESULTS: The findings suggest that a central self-reinforcing mechanism through which children socialize during fruit and vegetable consumption is critical in the habituation process. Additionally, the initial increase in children's fruit and vegetable consumption following the Scheme implementation is due to growth in three self-reinforcing loops related to motivation and capability mechanisms; however, this trend gradually slows and stops due to four balancing feedback loops with alternative goals related to opportunity mechanisms that reach their limits. CONCLUSIONS: The scheme's design should incorporate activities that align the objectives of the implementers and recipients of the Scheme at all levels. This alignment should provide children with ongoing opportunities to consume fruits and vegetables and strengthen the motivation and capability mechanisms.

What we know about the actual implementation process of public physical activity policies: results from a scoping review.

BACKGROUND: Physical inactivity rates have remained high worldwide since 2001. Public policies are an essential upstream lever to target individual physical activity (PA) behaviour. However, implementers have different strategies and face implementation challenges that are poorly understood. The present study analyzes the implementation processes of public policies to promote PA in terms of: (i) the policies covered and their legal quality, (ii) the actors and stakeholders involved in the implementation process and (iii) the used implementation strategies (vertical, horizontal or a mix). METHODS: A scoping review was systematically conducted (registered Open Science Framework: osf.io/7w84q/), searching 10 databases and grey literature until March 2022. Of the 7741 titles and abstracts identified initially, 10 studies were included. RESULTS: The current evidence includes high-income countries (USA, n = 7; UK, New Zealand and Oman, n = 1 each). Policy areas covered are education (school sector) and PA promotion in general (national PA plans or city-wide approaches). The legal classification ranges from laws (school sector) to coordination and budgeting to non-legally binding recommendations. The jurisdictions covered were federal (n = 4), state (n = 1), county (n = 1), school district (n = 1) and city (n = 3). Implementation strategies for city-wide approaches are characterized by a coordinated approach with vertical and horizontal integration; federal PA policies by a mix of implementation strategies; and the school sector by a strict horizontal top-down integration without the involvement of other actors. CONCLUSION: Implementation strategies differ by policy field. Therefore, continuous evaluation of the implementation process is necessary to align policy implementation with policy goals to promote individual PA behaviour.

Reaching consensus on definitions for food and physical activity policies: experience from the Policy Evaluation Network.

BACKGROUND: An upsurge in policy evaluation research within public health sciences has led to multi-disciplinary research networks like the 'Policy Evaluation Network' (PEN). This multi-disciplinary collaboration highlighted the need for consensus on clear, common terminology and definitions to facilitate the multi-disciplinary research. This article outlines the development process of the PEN definitions glossary tool, with a focus on the key domains of policy design, implementation and outcomes as they apply to physical activity, sedentary behaviour and dietary behaviours. METHODS: A project specific participatory process was undertaken, involving PEN researchers (n = 48) from seven European countries across various disciplinary backgrounds. All involved researchers were invited to identify and collate definitions that were commonly used in their research field. Terms and definitions were discussed and debated during three online workshops. Subsequently, the definitions were discussed and refined until consensus was reached. RESULTS: Consensus definitions for 93 terms related to the evaluation of policy design, implementation and outcomes are provided. Consensus was reached on a range of terms where the terms were understood and used differently across represented disciplines (e.g. 'Outcome' and 'Impact'). A conceptual 'Inter-relations in policy-related concepts' diagram was developed to enable navigation through an online database with key terms. CONCLUSIONS: The definitions resulting from this participatory process has supported PEN researchers and practitioners across disciplines to reach a shared understanding of different terms related to policy evaluation. Thus, providing a platform for avoiding conflicting use of the same terms in differing contexts over the course of the PEN work programme, facilitating clear and consistent communication, and allowing for clarity within collaborative multi-disciplinary projects and in public-facing messages.

Dietary behaviour and physical activity policies in Europe: learnings from the Policy Evaluation Network (PEN).

The European Policy Evaluation Network (PEN), initiated in autumn 2018, aimed at advancing the evidence base for public policies impacting dietary behaviour, physical activity and sedentary behaviours in Europe. This is needed because non-communicable diseases-the leading cause of global mortality-are substantially caused by physical inactivity and unhealthy dietary behaviours, which in turn are driven by upstream factors that have not yet been addressed effectively by prevention approaches. Thus, successful policy interventions are required that target entire populations and tackle the 'causes of the causes'. To advance our knowledge on the effective implementation of policies and their impact in terms of improving health behaviours, PEN focused on five research tasks: (i) Adaptation and implementation of a Food Environment Policy Index (Food-EPI) and development of a Physical Activity Environment Policy Index (PA-EPI); (ii) Mapping of health-related indicators needed for policy evaluation and facilitating a harmonized pan-European approach for surveillance to assess the impact of policy interventions; (iii) Refining quantitative methods to evaluate the impact of public policies; (iv) Identifying key barriers and facilitators of implementation of policies; and (v) Advance understanding the equity impact of the development, implementation and evaluation of policies aimed at promoting physical activity and a healthy diet. Finally, and in order to provide concrete evidence for policymaking, existing exemplary policies, namely sugar-sweetened beverages taxation, active transport policies and school policies on nutrition and physical activity were assessed in consideration of these five tasks. At the end of the PEN project's formal runtime, considerable advancements have been made. Here, we present an overview of the most important learnings and outputs.

Acceptability of policies targeting dietary behaviours and physical activity: a systematic review of tools and outcomes.

BACKGROUND: Successful implementation of health policies require acceptance from the public and policy-makers. This review aimed to identify tools used to assess the acceptability of policies targeting physical activity and dietary behaviour, and examine if acceptability differs depending on characteristics of the policy and of the respondents. METHODS: A systematic review (PROSPERO: CRD42021232326) was conducted using three databases (Science Direct, PubMed and Web of Science). RESULTS: Of the initial 7780 hits, we included 48 eligible studies (n = 32 on dietary behaviour, n = 11 on physical activity and n = 5 on both), using qualitative and quantitative designs (n = 25 cross-sectional, quantitative; n = 15 qualitative; n = 5 randomized controlled trials; n = 3 mixed-methods design). Acceptability was analysed through online surveys (n = 24), interviews (n = 10), focus groups (n = 10), retrospective textual analysis (n = 3) and a taste-test experiment (n = 1). Notably, only 3 (out of 48) studies applied a theoretical foundation for their assessment. Less intrusive policies such as food labels and policies in a later stage of the implementation process received higher levels of acceptability. Women, older participants and respondents who rated policies as appropriate and effective showed the highest levels of acceptability. CONCLUSION: Highly intrusive policies such as taxations or restrictions are the least accepted when first implemented, but respondents' confidence in the relevance and effectiveness of the policy may boost acceptability over the course of implementation. Studies using validated tools and a theoretical foundation are needed to further examine opportunities to increase acceptability.

Effects of Environmental Worry on Fruit and Vegetable Intake.

BACKGROUND: Environmental worry, a response to environmental pollution, is a well-established predictor of pro-environmental behaviors. However, its relationship with health-promoting behaviors, such as fruit and vegetable intake (FVI), is unclear. In three studies, we explored the associations between environmental worry, behavioral intention, and FVI. METHOD: Study 1, enrolling 358 company trainees who provided their data at Time 1 (T1) and Time 2 (T2; a 2-month follow-up), examined the relationship between environmental worry and FVI. Study 2, enrolling 226 employees providing their data at T1 and T2 (a 2-month follow-up), examined the mediating effects of intention in the relationship between environmental worry and FVI using a cross-lagged design. In study 3, data from 217 participants were collected three times over a period of 4 months. We re-examined the mediating effect of intention and further explored the moderating effect of future focus. RESULTS: Environmental worry predicted beneficial changes in FVI (studies 1, 2, and 3). Environmental worry predicted FVI through intention (studies 2 and 3). The mediating effect of intention on the relationship between environmental worry and FVI was moderated by future focus: individuals with high environmental worry formed stronger intention when they also reported a strong future focus (study 3). CONCLUSIONS: Our findings provide novel evidence for the direct and indirect links between environmental worry and health-promoting behavior (i.e., FVI).

Developing the "Choosing Health" Digital Weight Loss and Maintenance Intervention: Intervention Mapping Study.

BACKGROUND: Digital health promotion programs tailored to the individual are a potential cost-effective and scalable solution to enable self-management and provide support to people with excess body weight. However, solutions that are widely accessible, personalized, and theory- and evidence-based are still limited. OBJECTIVE: This study aimed to develop a digital behavior change program, Choosing Health, that could identify modifiable predictors of weight loss and maintenance for each individual and use these to provide tailored support. METHODS: We applied an Intervention Mapping protocol to design the program. This systematic approach to develop theory- and evidence-based health promotion programs consisted of 6 steps: development of a logic model of the problem, a model of change, intervention design and intervention production, the implementation plan, and the evaluation plan. The decisions made during the Intervention Mapping process were guided by theory, existing evidence, and our own research-including 4 focus groups (n=40), expert consultations (n=12), and interviews (n=11). The stakeholders included researchers, public representatives (including individuals with overweight and obesity), and experts from a variety of relevant backgrounds (including nutrition, physical activity, and the health care sector). RESULTS: Following a structured process, we developed a tailored intervention that has the potential to reduce excess body weight and support behavior changes in people with overweight and obesity. The Choosing Health intervention consists of tailored, personalized text messages and email support that correspond with theoretical domains potentially predictive of weight outcomes for each participant. The intervention content includes behavior change techniques to support motivation maintenance, self-regulation, habit formation, environmental restructuring, social support, and addressing physical and psychological resources. CONCLUSIONS: The use of an Intervention Mapping protocol enabled the systematic development of the Choosing Health intervention and guided the implementation and evaluation of the program. Through the involvement of different stakeholders, including representatives of the general public, we were able to map out program facilitators and barriers while increasing the ecological validity of the program to ensure that we build an intervention that is useful, user-friendly, and informative. We also summarized the lessons learned for the Choosing Health intervention development and for other health promotion programs. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2020-040183.

Sugar-sweetened beverage tax implementation processes: results of a scoping review.

Taxing sugar-sweetened beverages (SSB) is seen as a win-win situation for governments. It is argued that SSB taxes are relatively easy to implement from a practical perspective compared to for example other nutrition policies. However, the implementation of SSB taxation laws does not happen by itself. Therefore, this work examines implementation processes for SSB taxation in terms of (1) pre-implementation context, (2) taxation instruments used and (3) interactions in the implementation process. Ten databases and grey literature were systematically searched for studies reporting on SSB taxation implementation processes up to February 2020. All studies (N = 1248) were screened independently by two reviewers according to predefined criteria. The selection of variables to be extracted was based on the policy cycle heuristic and informed by intervention implementation research. Information on the process of implementing SSB taxation is limited. Only six cases based on three publications were identified, indicating a gap in this research area. SSB taxation implementation was accomplished by hiring a subcontractor for the implementation or using pre-existing tax collection structures. Political and public support within the implementation process seems to be supportive for the city of Berkeley and for Portugal but was not reported for the Pacific Islands. However, the existing data are very limited, and further research on SSB taxation implementation processes is needed to determine whether the aim of the policy and the envisaged outcome are linked in practice. Registration The protocol was registered with the Open Science Framework (OSF) (osf.io/7w84q/).

Cultivation and Enabling Effects of Social Support and Self-Efficacy in Parent-Child Dyads.

BACKGROUND: There are two alternative mechanisms, elucidating the reciprocal relationship between self-efficacy and social support when explaining health outcomes: self-efficacy beliefs may operate as the establisher of social support (the cultivation model) or social support may enable the formation of self-efficacy beliefs (the enabling model). PURPOSE: In line with the cultivation hypothesis, it was tested if self-efficacy (measured in parents and children) would indirectly predict parental and child moderate-to-vigorous physical activity (MVPA), via the mediator, social support (parent-provided, child-received). In line with the enabling hypothesis, it was tested if social support would predict MVPA indirectly, via the mediator, self-efficacy. METHODS: A total of 879 parent-child dyads (1758 individuals; 52.4% girls, aged 5-11 years old, 83.2% mothers) provided self-reports at the baseline (T1) and the 7- to 8-month follow-up (T2). Body weight and height were measured objectively. Manifest path analyses were performed, controlling for the baseline levels of the mediator and dependent variables. RESULTS: A similar number of significant simple indirect effects was found for the cultivation and the enabling model. Across the models, the indirect effects followed similar patterns: (a) within-individual indirect effects in children; (b) across-individual indirect effects, with the independent variable measured in children and the mediator/dependent variables measured in parents (e.g., child self-efficacy predicted parental support provision and, indirectly, parental MVPA); (c) across-individual indirect effects, accounting for self-efficacy and MVPA measured in children, combined with parental reports of social support. CONCLUSIONS: The findings provide support for both cultivation and enabling models in the context of MVPA among parent-child dyads.

The trajectory of COVID-19 pandemic and handwashing adherence: findings from 14 countries.

BACKGROUND: The COVID-19 pandemic has affected people's engagement in health behaviors, especially those that protect individuals from SARS-CoV-2 transmission, such as handwashing/sanitizing. This study investigated whether adherence to the World Health Organization's (WHO) handwashing guidelines (the outcome variable) was associated with the trajectory of the COVID-19 pandemic, as measured by the following 6 indicators: (i) the number of new cases of COVID-19 morbidity/mortality (a country-level mean calculated for the 14 days prior to data collection), (ii) total cases of COVID-19 morbidity/mortality accumulated since the onset of the pandemic, and (iii) changes in recent cases of COVID-19 morbidity/mortality (a difference between country-level COVID-19 morbidity/mortality in the previous 14 days compared to cases recorded 14-28 days earlier). METHODS: The observational study (#NCT04367337) enrolled 6064 adults residing in Australia, Canada, China, France, Gambia, Germany, Israel, Italy, Malaysia, Poland, Portugal, Romania, Singapore, and Switzerland. Data on handwashing adherence across 8 situations (indicated in the WHO guidelines) were collected via an online survey (March-July 2020). Individual-level handwashing data were matched with the date- and country-specific values of the 6 indices of the trajectory of COVID-19 pandemic, obtained from the WHO daily reports. RESULTS: Multilevel regression models indicated a negative association between both accumulation of the total cases of COVID-19 morbidity (B = -.041, SE = .013, p = .013) and mortality (B = -.036, SE = .014 p = .002) and handwashing. Higher levels of total COVID-related morbidity and mortality were related to lower handwashing adherence. However, increases in recent cases of COVID-19 morbidity (B = .014, SE = .007, p = .035) and mortality (B = .022, SE = .009, p = .015) were associated with higher levels of handwashing adherence. Analyses controlled for participants' COVID-19-related situation (their exposure to information about handwashing, being a healthcare professional), sociodemographic characteristics (gender, age, marital status), and country-level variables (strictness of containment and health policies, human development index). The models explained 14-20% of the variance in handwashing adherence. CONCLUSIONS: To better explain levels of protective behaviors such as handwashing, future research should account for indicators of the trajectory of the COVID-19 pandemic. TRIAL REGISTRATION: Clinical Trials.Gov, # NCT04367337.

From a mother's point of view: Psycho-social predictors of maternal monitoring strategy and adolescents' electronic media use.

INTRODUCTION: As early adolescents have limited capacities for self-regulating electronic media use (EMU), parental monitoring is needed. However, research has shown that parents do not exert much monitoring over their children's EMU. A theory-based approach may help to identify key predictors of parental monitoring and its effects on adolescents' EMU. Applying the Health Action Process Approach (HAPA), this study examined maternal psycho-social predictors of maternal monitoring of EMU and, subsequently, children's EMU. METHODS: In Switzerland, 105 mother-adolescent dyads participated in an observational study with two time points (baseline, T1, and follow-up, T2) two weeks apart. Mothers (Mage = 43.83 years, SD = 4.45) reported on their HAPA variables and their children's EMU. Adolescents (Mage = 12.13 years, SD = 0.99; 60 girls and 45 boys) also reported their EMU. RESULTS: Maternal outcome expectancies (T1) for less EMU were positively related (ß = 0.25) with their intention to monitor EMU (T1). Further, intention was positively associated (ß = 0.45) with planning to monitor EMU (T1) which in turn predicted marginally (ß = 0.18) maternal monitoring (T2). No significant associations were found between maternal monitoring (T2) and adolescents' EMU (T2) reported by mothers and adolescents. CONCLUSIONS: Contrary to hypotheses derived from the HAPA, findings demonstrate that not all the HAPA variables are linked to maternal monitoring of adolescents' EMU. More research is thus needed to identify antecedents and consequences of different strategies of maternal monitoring.

Maternal practices and perceptions of child body mass status explain child energy expenditure behaviors and body mass.

This study investigated whether maternal perceptions of child body mass status would predict child body mass index (BMI) z-score via two sets of sequential mediators: (1) four maternal practices promoting child energy expenditure and (2) children's energy expenditure behaviors. The data of N = 729 mother-child dyads were collected at baseline [T1; n = 495 at 7- to 8-month follow-up (T2)]. Mothers reported perceptions of child body mass status and maternal practices (T1); children reported sedentary screen use and physical activity (T1, T2). Child body mass was assessed objectively (T1, T2). Higher stimulation to be active (T1) was related to a lower child BMI z-score (T2) via higher levels of child physical activity (T2). Higher levels of monitoring of screen use (T1) were associated with higher child BMI z-score (T2) via lower levels of child physical activity (T2). Encouraging parents to stimulate their children to be active may be beneficial for children's weight maintenance.

Body satisfaction and body weight in under- and healthy-weight adolescents: mediating effects of restrictive dieting, healthy and unhealthy food intake.

PURPOSE: Theoretical models, such as the transdiagnostic model of eating disorders highlight the role of cognitive factors (e.g., the way people perceive their bodies) and their associations with maladaptive weight management behaviors resulting in underweight. This paper aims at testing the indirect association of adolescent's body satisfaction and body mass index (BMI) through restrictive dieting, healthy eating or unhealthy eating as well as moderating role of adolescent's weight status. METHODS: The study was conducted in 16 public middle and high schools in Central and Eastern Poland. A sample of 1042 under- and healthy-weight white adolescents aged 13-20 (BMI: 12.63-24.89) completed two self-reported questionnaires (fruit, vegetable, and energy-dense food intake) with a 11-month interval. Weight and height were measured objectively. Multiple mediation analysis and moderated multiple mediation analysis were conducted to test the study hypotheses. RESULTS: Adolescents less satisfied with their bodies were more likely to diet restrictively and at the same time ate more unhealthy energy-dense food rather than healthy food, which in turn predicted lower BMI. No moderating effects of weight status were found. CONCLUSIONS: Low body satisfaction is a risk for restrictive diet and unhealthy food intake. Prevention programs may target under- and healthy-weight adolescents who are highly dissatisfied with their bodies, have a high intake of energy-dense food and apply a restrictive diet at the same time. LEVEL OF EVIDENCE: Level III: longitudinal cohort study.