The moderating effect of psychosocial factors in the relation between neighborhood walkability and children's physical activity

Parents' attitudes regarding their children's play during COVID-19: Impact of socioeconomic status and urbanicity

Objectives

The COVID-19 pandemic has had a profound impact on the daily routines of parents and children. This study explored the influence of socioeconomic status (SES) and urbanicity on parents' attitudes toward their children's active play opportunities 6 months and 1.5 years into COVID-19.

Methods

A sample of 239 Ontario parents of children aged 12 and younger completed two online surveys (August-December 2020; 2021) to assess parents' intentions, beliefs, and comforts concerning their child's eventual return to play, in addition to various sociodemographic and physical activity variables. Descriptive analyses were run as well as an exploratory factor analysis (EFA) was conducted to group the 14 attitude items into subscales for analysis, to ensure reliability and validity of attitude measures.

Results

In general, parents in communities with more urban features (e.g., densely populated areas), single-parents, full-time employed parents, and parents with lower-incomes were more hesitant to return their children to active play during the pandemic.

Conclusion

Findings from this work highlight SES and urbanicity disparities that continue to exist during COVID-19.

Bridging the Built and Social Environments: A Systematic Review of Studies Investigating Influences on Physical Activity

BACKGROUND

The purpose of this review was to examine articles assessing aspects of the built and social environment simultaneously, and how these environments influence physical activity (PA). A thorough review of studies is needed to identify patterns across studies and gaps for future research and practice.

METHODS

To be included, articles needed to contain: (1) self-report or objective measure of PA; (2) a measure of the built environment; (3) a measure of the social environment; and (4) an analysis between built environment, social environment, and PA. A systematic literature search of 4358 articles resulted in 87 articles.

RESULTS

Several populations were present within the sample including various age groups and different countries. As previously established, the built environment and social environment were consistently associated with PA; however, mediating factors between these 2 layers were less clear. Further, there was a lack of longitudinal and experimental study designs.

CONCLUSIONS

Results suggest a need for longitudinal and experimental designs with validated and granular measures. As communities recover from the COVID-19 pandemic, a thorough understanding of how built environment factors enhance or detract from social connectedness and how this reciprocal relationship impacts PA behavior is needed for future policy, environment, and systematic change.

Location-specific psychosocial and environmental correlates of physical activity and sedentary time in young adolescents: preliminary evidence for location-specific approaches from a cross-sectional observational study

BACKGROUND

A better understanding of the extent to which psychosocial and environmental correlates of physical activity are specific to locations would inform intervention optimization.

PURPOSE

To investigate cross-sectional associations of location-general and location-specific variables with physical activity and sedentary time in three common locations adolescents spend time.

METHODS

Adolescents (N = 472,Mage = 14.1,SD = 1.5) wore an accelerometer and global positioning systems (GPS) tracker and self-reported on psychosocial (e.g., self-efficacy) and environmental (e.g., equipment) factors relevant to physical activity and sedentary time. We categorized each survey item based on whether it was specific to a location to generate psychosocial and environmental indices that were location-general or specific to either school, non-school, or home location. Physical activity (MVPA) and sedentary time were based on time/location match to home, school, or all "other" locations. Mixed-effects models investigated the relation of each index with location-specific activity.

RESULTS

The location-general and non-school physical activity psychosocial indices were related to greater MVPA at school and "other" locations. The school physical activity environment index was related to greater MVPA and less sedentary time at school. The home activity environment index was related to greater MVPA at home. The non-school sedentary psychosocial index was related to less sedentary time at home. Interactions among indices revealed adolescents with low support on one index benefited (i.e., exhibited more optimal behavior) from high support on another index (e.g., higher scores on the location-general PA psychosocial index moderated lower scores on the home PA environment index). Concurrent high support on two indices did not provide additional benefit.

CONCLUSIONS

No psychosocial or environment indices, including location-general indices, were related to activity in all locations. Most of the location-specific indices were associated with activity in the matching location(s). These findings provide preliminary evidence that psychosocial and environmental correlates of activity are location specific. Future studies should further develop location-specific measures and evaluate these constructs and whether interventions may be optimized by targeting location-specific psychosocial and environmental variables across multiple locations.

How different are objective operationalizations of walkability for older adults compared to the general population? A systematic review

Background

Walking is an essential activity for everyone and for older adults in particular, given that it is the most accessible form of physical activity and one of the healthiest transportation modes. Understanding how walkability (the potential of the environment to enable and/or encourage walking) has been objectively measured and analyzed for older adults is critical to create more inclusive, healthy, and sustainable environments and to promote healthy aging. Despite the numerous reviews on physical activity among older adults and its relationship with the built environment, the literature still lacks comparison reviews focusing specifically on objective operationalizations of walkability for older adults vs. the general population.

Methods

We conducted a systematic review of 146 empirical studies that measured walkability objectively in relation to walking-related outcomes. We compared studies focused on older adults (n = 24) and the general population (n = 122). Content analysis included the characteristics of the study design, walkability measures, spatial extent, and associations found between walkability and walking-related outcomes.

Results

In both groups of publications, the majority of studies were conducted in the US, Canada, and Europe, and largely in high-income countries. They were mostly published in health-related journals and used cross-sectional designs, operationalized walkability by using indexes, employed self-reported measures for walking-related outcomes, and found positive associations between walkability and walking outcomes. However, we observed some differences among studies focusing on older adults. Compared to studies focusing on the general population, a larger proportion of studies on older adults was conducted in the Middle East and Asia, and they used longitudinal designs, mixed methods to measure walking-related outcomes, variables related with land-use characteristics, safety from traffic and crime, and greenery, and a larger proportion found positive, as well as no associations between walkability and walking-related outcomes.

Conclusion

Although there is a promising increase in interest in older adults-focused walkability studies in the last decade, there is still a need for more studies focusing on different settings, using wider spatial extents, longitudinal designs, objective or mixed methods to collect outcome data, and specific variables and/or specially created indexes for older adults and for settings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03233-x.

An online family-based self-monitoring and goal-setting intervention to improve children’s physical activity: the FRESH feasibility trial and three-arm pilot RCT

Background

Family-based physical activity promotion presents a promising avenue for promoting whole-family physical activity, but high-quality research is lacking.

Objectives

To assess the feasibility, acceptability and preliminary effectiveness of FRESH (Families Reporting Every Step to Health), a child-led online family-based physical activity intervention; and to identify effective and resource-efficient family recruitment strategies.

Design

The project consisted of (1) a randomised feasibility trial, (2) a randomised controlled pilot trial and (3) a systematic review and Delphi study.

Setting

Norfolk/Suffolk counties, UK.

Participants

Families, recruited from schools, workplaces and community settings, were eligible to participate if one child aged 7–11 years and one adult responsible for their care provided written consent; all family members could participate.

Interventions

The FRESH intervention, guided by self-determination theory, targeted whole families and was delivered via an online platform. All family members received pedometers and were given website access to select family step challenges to ‘travel’ to target cities around the world, log steps, and track progress as they virtually globetrotted. Families were randomised to FRESH intervention, pedometer-only or control arm.

Main outcome measures

Physical (e.g. blood pressure), psychosocial (e.g. family functioning) and behavioural (e.g. device-measured family physical activity) measures were collected at baseline and at 8- and 52-week follow-up. A mixed-methods process evaluation assessed the acceptability of the intervention and evaluation.

Data sources review

Systematic search of four databases (Cochrane Library, PubMed, PsycINFO and SCOPUS).

Review methods

Articles were screened in duplicate, and data extraction was fully checked. Academic experts participated in the three-round Delphi study. Data were combined to identify effective and resource-efficient family recruitment strategies.

Inclusion criteria

Included generally healthy school-aged children and at least one adult; intervention attempted to change physical activity, sedentary behaviour, screen use, diet, or prevent overweight/obesity in multiple family members; presented relevant measure of effect in children and adults.

Results

The feasibility study (12 families, 32 participants; 100% retention at 8 weeks) demonstrated the feasibility and acceptability of FRESH, but highlighted that adaptations were required. Of 41 families recruited in the pilot study (149 participants), 98% and 88% were retained at the 8-week and 52-week follow-up, respectively. More children in the FRESH arm self-reported doing more family physical activity, and they thought that FRESH was fun. There were no notable between-group differences in children’s outcomes. Change in moderate to vigorous physical activity at 8 weeks favoured FRESH intervention adults [vs. control: 9.4 minutes/week (95% confidence interval 0.4 to 18.4) vs. pedometer only: 15.3 (95% confidence interval 6.0 to 24.5)], and was stronger in fathers, but this was not maintained. In 49 included studies, apart from recruitment settings and strategies used (reported in 84% and 73% of the studies, respectively), recruitment details were scarce. School-based recruitment was predominant. The Delphi study identified a wide range of recruitment settings and strategies.

Limitations

Recruitment was the main limitation of the FRESH studies; generalisability of the proposed recruitment strategies may be limited.

Conclusions

This study has demonstrated the feasibility and acceptability of the FRESH intervention. However, we failed to recruit the target sample size and were unable to demonstrate a signal of effectiveness. Future research should employ a multifaceted recruitment approach.

Future work

Further refinements to intervention delivery and recruitment methods should be investigated.

Study registration

Current Controlled Trials ISRCTN12789422 and PROSPERO CRD42019140042.

Funding

This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 9, No. 9. See the NIHR Journals Library website for further project information.

Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices

Recognizing that health outcomes are influenced by and occur within multiple social and physical contexts, researchers have used multilevel modeling techniques for decades to analyze hierarchical or nested data. Cross-Classified Multilevel Models (CCMM) are a statistical technique proposed in the 1990s that extend standard multilevel modeling and enable the simultaneous analysis of non-nested multilevel data. Though use of CCMM in empirical health studies has become increasingly popular, there has not yet been a review summarizing how CCMM are used in the health literature. To address this gap, we performed a scoping review of empirical health studies using CCMM to: (a) evaluate the extent to which this statistical approach has been adopted; (b) assess the rationale and procedures for using CCMM; and (c) provide concrete recommendations for the future use of CCMM. We identified 118 CCMM papers published in English-language literature between 1994 and 2018. Our results reveal a steady growth in empirical health studies using CCMM to address a wide variety of health outcomes in clustered non-hierarchical data. Health researchers use CCMM primarily for five reasons: (1) to statistically account for non-independence in clustered data structures; out of substantive interest in the variance explained by (2) concurrent contexts, (3) contexts over time, and (4) age-period-cohort effects; and (5) to apply CCMM alongside other techniques within a joint model. We conclude by proposing a set of recommendations for use of CCMM with the aim of improved clarity and standardization of reporting in future research using this statistical approach.

A whole family-based physical activity promotion intervention: findings from the families reporting every step to health (FRESH) pilot randomised controlled trial

Introduction

This study assessed the feasibility and acceptability of FRESH (Families Reporting Every Step to Health), a theory-based child-led family physical activity (PA) intervention delivered online. We also assessed the preliminary effectiveness of the intervention on outcomes of interest and whether pre-specified criteria were met to progress to a full-scale definitive trial.

Methods

In a three-armed randomised pilot trial, 41 families (with a 7–11-year-old index child) were allocated to a: ‘family’ (FAM), ‘pedometer-only’ (PED), or a no-treatment control (CON) arm. The FAM arm received access to the FRESH website, allowing participants to select step challenges to ‘travel’ to target cities around the world, log their steps, and track progress as families virtually globetrot. FAM and PED arms also received family sets of pedometers. All family members could participate in the evaluation. Physical (e.g., fitness, blood pressure), psychosocial (e.g., social support), behavioural (e.g., objectively-measured PA), and economic (e.g., expenditure for PA) data were collected at baseline, 8- and 52-weeks.

Results

At 8- and 52-weeks, 98 and 88% of families were retained, respectively. Most children liked participating in the study (> 90%) and thought it was fun (> 80%). Compared to the PED (45%) and CON (39%) arms, a higher percentage of children in the FAM (81%) arm reported doing more activities with their family. Adults agreed that FRESH encouraged their family do more PA and made their family more aware of the amount of PA they do. No notable between-group differences were found for childrens’ minutes in moderate-to-vigorous PA. Sizeable changes of 9.4 (95%CI: 0.4, 18.4) and 15.3 (95%CI: 6.0, 24.5) minutes in moderate-to-vigorous PA was found for adults in the FAM group compared to those in the PED or CON groups, respectively. No other notable differences were found.

Conclusion

This study demonstrates feasibility and acceptability of the FRESH intervention. All progression criteria were at least partially satisfied. However, we failed to recruit the target sample size and did not find a signal of effectiveness on PA particularly long-term or in children. Further refinements are required to progress to a full-scale trial.

Trial registration

This study was prospectively registered (ISRCTN12789422) on 16/03/2016.

Whole family-based physical activity promotion intervention: the Families Reporting Every Step to Health pilot randomised controlled trial protocol

INTRODUCTION

Family-based physical activity (PA) interventions present a promising avenue to promote children's activity; however, high-quality experimental research is lacking. This paper describes the protocol for the FRESH (Families Reporting Every Step to Health) pilot trial, a child-led family-based PA intervention delivered online.

METHODS AND ANALYSIS

FRESH is a three-armed, parallel-group, randomised controlled pilot trial using a 1:1:1 allocation ratio with follow-up assessments at 8 and 52 weeks postbaseline. Families will be eligible if a minimum of one child in school Years 3-6 (aged 7-11 years) and at least one adult responsible for that child are willing to participate. Family members can take part in the intervention irrespective of their participation in the accompanying evaluation and vice versa.Following baseline assessment, families will be randomly allocated to one of three arms: (1) FRESH; (2) pedometer-only or (3) no-intervention control. All family members in the pedometer-only and FRESH arms receive pedometers and generic PA promotion information. FRESH families additionally receive access to the intervention website; allowing participants to select step challenges to 'travel' to target cities around the world, log steps and track progress as they virtually globetrot. Control families will receive no treatment. All family members will be eligible to participate in the evaluation with two follow-ups (8 and 52 weeks). Physical (eg, fitness and blood pressure), psychosocial (eg, social support) and behavioural (eg, objectively measured family PA) measures will be collected at each time point. At 8-week follow-up, a mixed methods process evaluation will be conducted (questionnaires and family focus groups) assessing acceptability of the intervention and evaluation. FRESH families' website engagement will also be explored.

ETHICS AND DISSEMINATION

This study received ethical approval from the Ethics Committee for the School of the Humanities and Social Sciences at the University of Cambridge. Findings will be disseminated via peer-reviewed publications, conferences and to participating families.

TRIAL REGISTRATION NUMBER

ISRCTN12789422.

Moderating effect of the neighbourhood physical activity environment on the relation between psychosocial factors and physical activity in children: a longitudinal study

Background

Few studies have examined the moderating role of neighbourhood environments on the relation between psychosocial factors and physical activity, and results of these studies are mixed. This study examined this relationship in 636 fifth to seventh graders from South Carolina, USA.

Methods

From 2010 to 2013, children and their parent/guardian completed annual self-reported surveys assessing psychosocial factors, and children wore accelerometers for 1 week each year. Neighbourhood environments were classified as supportive or non-supportive for physical activity (PA) based on in-person audits of facilities near children’s homes and windshield surveys of children’s streets. Growth curve analyses were completed to assess the moderating effect of the neighbourhood physical activity environment (NPAE) on the relation between psychosocial factors and total physical activity (TPA) over time.

Results

Significant interactions on TPA were found for (1) time, NPAE and parent-reported parent support for PA; (2) time, NPAE and child-reported equipment in the home; (3) child-reported parental support for PA and time; (4) child-reported parental support for PA and NPAE; (5) PA self-schema and time and (6) child-reported parental encouragement and time. Parental support and a supportive NPAE were important for TPA, especially as children transitioned to middle school, whereas home equipment and a supportive NPAE were important for fifth graders’ TPA.

Conclusion

Consistent with the socioecological model, PA behaviour was dependent on interacting effects across levels of influence. Generally, both a supportive NPAE and positive psychosocial factors were needed to support TPA. Factors influencing PA across multiple levels should be addressed in PA interventions.

The development and feasibility of a randomised family-based physical activity promotion intervention: the Families Reporting Every Step to Health (FRESH) study

Background

There is a need for high-quality research aiming to increase physical activity in families. This study assessed the feasibility and acceptability of FRESH (Families Reporting Every Step to Health), a child-led family-based physical activity intervention delivered online.

Methods

In a two-armed randomised feasibility study, 12 families (with an 8–10-year-old index child) were allocated to a ‘child-only’ (CO) or ‘family’ arm (FAM) of the theory-based FRESH intervention. Both received access to the FRESH website, allowing participants to select step challenges to ‘travel’ to target cities around the world, log their steps, and track their progress as they virtually globetrot. Only index children wore pedometers in CO; in FAM, all family members wore pedometers and worked towards collective goals. All family members were eligible to participate in the evaluation. Mixed-methods process evaluation (questionnaires and family focus groups) at 6-week follow-up consisted of completing questionnaires assessing acceptability of the intervention and accompanying effectiveness evaluation, focussed on physical (e.g. fitness, blood pressure), psychosocial (e.g. social support), and behavioural (e.g. objectively-measured family physical activity) measures.

Results

All families were retained (32 participants). Parents enjoyed FRESH and all children found it fun. More FAM children wanted to continue with FRESH, found the website easy to use, and enjoyed wearing pedometers. FAM children also found it easier to reach goals. Most CO families would have preferred whole family participation. Compared to CO, FAM exhibited greater website engagement as they travelled to more cities (36 ± 11 vs. 13 ± 8) and failed fewer challenges (1.5 ± 1 vs. 3 ± 1). Focus groups also revealed that most families wanted elements of competition. All children enjoyed being part of the evaluation, and adults disagreed that there were too many intervention measures (overall, 2.4 ± 1.3) or that data collection took too long (overall, 2.2 ± 1.1).

Conclusion

FRESH was feasible and acceptable to participating families; however, findings favoured the FAM group. Recruitment, intervention fidelity and delivery and some measurement procedures are particular areas that require further attention for optimisation. Testing the preliminary effectiveness of FRESH on family physical activity is a necessary next step.

Trial registration

This study was registered and given an International Standard Randomised Controlled Trials Number (ISRCTN12789422). Registered 16 March 2016. http://www.isrctn.com/ISRCTN12789422

Understanding Physical Activity through Interactions Between the Built Environment and Social Cognition: A Systematic Review

BACKGROUND

Few people in most developed nations engage in regular physical activity (PA), despite its well-established health benefits. Socioecological models highlight the potential interaction of multiple factors from policy and the built environment to individual social cognition in explaining PA.

OBJECTIVE

The purpose of this review was to appraise this interaction tenet of the socioecological model between the built environment and social cognition to predict PA.

METHODS

Eligible studies had to have been published in peer-reviewed journals in the English language, and included any tests of interaction between social cognition and the built environment with PA. Literature searches, concluded in October 2017, used five common databases. Findings were grouped by type of PA outcomes (leisure, transportation, total PA and total moderate-vigorous PA [MVPA]), then grouped by the type of interactions between social cognitive and built environment constructs.

RESULTS

The initial search yielded 308 hits, which was reduced to 22 independent studies of primarily high- to medium-quality after screening for eligibility criteria. The interaction tenet of the socioecological model was not supported for overall MVPA and total PA. By contrast, while there was heterogeneity of findings for leisure-time PA, environmental accessibility/convenience interacted with intention, and environmental aesthetics interacted with affective judgments, to predict leisure-time PA. Interactions between the built environment and social cognition in PA for transport are limited, with current results failing to support an effect.

CONCLUSIONS

The results provide some support for interactive aspects of the built environment and social cognition in leisure-time PA, and thus highlight potential areas for integrated intervention of individual and environmental change.

An exploratory analysis of the interactions between social norms and the built environment on cycling for recreation and transport

Background

There is growing evidence of the public health benefits of promoting cycling. The ways that the built environment and perceived social norms independently influence cycling participation is well established. However, whether these factors interact to influence cycling participation has not been examined. Such research is important because understanding the effect of multiple socio-ecological factors and the interactions between them is needed to guide the development of interventions and strategies to increase cycling participation. Therefore, the aim of this study is to explore the interactive effects of the built environment and perceived social norms on transport and recreational cycling.

Methods

Data was collected using a self-administered online questionnaire from 228 office workers in Metropolitan Melbourne, Australia. Measures used in previous research were employed to assess self-reported transport and recreation cycling in the last week, perceptions of neighbourhood built environment, perceived social norms towards cycling, and objective land-use mix, residential density and street connectivity of the suburbs in which participants lived and work. Multiple binary logistic regression analyses were conducted to explore the interactive effects of the built environment and perceived social norms on transport and recreation cycling. All interactive effects were considered significant at p < 0.10.

Results

There was a significant interactive effect between the workplace built environment and perceived group norm on transport cycling (p = 0.06). There were no other significant interactive effects observed between components of the built environment and perceived social norms on transport or recreational cycling.

Conclusions

The interactive effect found in this study provides some evidence that the workplace built environment interacts with perceived group norms to influence cycling for transport. Positive perceptions of the workplace built environment, such as showers and secure bike racks, can somewhat compensate for the negative influence of when cycling is considered less of a norm among, family, friend or colleagues. However, the findings of this study did not support that the neighbourhood built environment and perceived social norms interact to influence cycling for recreation or transport. These findings contribute to the knowledge of how multiple factors may reciprocate to influence individual’s decision to cycle. More research into the interactive effects of socio-ecological factors is warranted.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-6075-4) contains supplementary material, which is available to authorized users.

Interactions of psychosocial factors with built environments in explaining adolescents' active transportation

The present study examined independent and interacting associations of psychosocial and neighborhood built environment variables with adolescents' reported active transportation. Moderating effects of adolescent sex were explored. Mixed-effects regression models were conducted on data from the Teen Environment and Neighborhood observational study (N=928) in the Seattle, WA and Baltimore regions 2009-2011. Frequency index of active transportation to neighborhood destinations (dependent variable) and 7 psychosocial measures were reported by adolescents. Built environment measures included home walkability and count of nearby parks and recreation facilities using GIS procedures and streetscape quality from environmental audits. Results indicated all 3 environmental variables and 3 psychosocial variables (self-efficacy, social support from peers, and enjoyment of physical activity) had significant positive main effects with active transportation (Ps<0.05). Three of 21 two-way interactions were significant in explaining active transportation (Ps<0.1): self-efficacy×GIS-based walkability index, barriers to activity in neighborhood×MAPS streetscape scores, and self-efficacy×GIS-based counts of parks and recreation facilities. In each two-way interaction the highest active transportation was found among adolescents with the combination of activity-supportive built environment and positive psychosocial characteristics. Three-way interactions with sex indicated similar associations for girls and boys, with one exception. Results provided modest support for the ecological model principle of interactions across levels, highlight the importance of both built environment and psychosocial factors in shaping adolescents' active transportation, demonstrated the possibility of sex-specific findings, and suggested strategies for improving adolescents' active transportation may be most effective when targeting multiple levels of influence.