Unravelling the link between physical activity and peer social connectedness in young people with intellectual disabilities: a systematic review of quantitative studies

BACKGROUND

There is limited understanding of the context surrounding physical activity (PA) of young people with intellectual disabilities (ID), which has an impact on the development of PA promotion programmes. Peer social connectedness seems to be a vital correlate to focus on, but has not been included in current studies examining the correlates and determinants of PA levels of young people with ID. This study aims to synthesise the evidence on (1) the social constructs researchers have used to conceptualise peer social connectedness in a PA context among young people with ID, (2) the measurement tools that have been used and (3) the relationship between PA and peer social connectedness in young people with ID.

METHODS

The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Ovid MEDLINE, Ovid Embase, Web of Science, ERIC, CINAHL and PsycINFO were searched from 1 January 1996 up to, and including, July 2023 to identify English-language studies, which examined associations between PA and peer social connectedness in adolescents and young adults (13-24 years) with ID. Study quality was assessed using the Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields.

RESULTS

Thirteen studies met the inclusion criteria and were included in the review. Ten peer social connectedness constructs and 18 measurement instruments were identified. Studies were predominantly focused on Special Olympics participants and unified activity formats. Participation in PA can increase social connectedness, but there is a lack of studies examining whether PA can also be increased by focusing on peer social connectedness in young people with ID.

CONCLUSIONS

Results show that peer social connectedness is recognised as relevant to researchers developing and testing PA programmes for young people with ID.

Synergizing the Behavior Change Wheel and a Cocreative Approach to Design a Physical Activity Intervention for Adolescents and Young Adults With Intellectual Disabilities: Development Study

BACKGROUND

There is a need for physical activity promotion interventions in adolescents and young adults with intellectual disabilities. Current interventions have shown limited effectiveness, which may be attributed to the absence of theory and a population-specific development. Combining a planning model (including theory) and cocreation with the target audience during intervention development could potentially address this gap.

OBJECTIVE

This study aimed to report the systematic development of the Move it, Move ID! intervention by describing how the 8 different steps of the Behavior Change Wheel (BCW) were applied and present the results that emerged from those steps. In doing so, the (theoretical) content of the intervention is described in detail.

METHODS

A total of 23 adolescents and young adults (aged 14-22 years) with mild to moderate intellectual disabilities were designated as cocreators of the intervention. Across 2 groups, 6 similar cocreation sessions were organized in each. The content and sequence of the sessions were structured to align with the 8 steps of the BCW. All sessions were recorded and transcribed verbatim. Both a deductive (ie, steps of the BCW) and inductive (ie, resonating the voice of the participants) analysis approach were applied specifically focusing on identifying and describing the findings within each of the BCW steps.

RESULTS

After behavioral analysis (steps 1-4), 10 intervention goals were chosen and linked to Capability, Opportunity, and Motivation-Behavior components (theory within the BCW) that needed to be addressed. Psychological capability, social opportunity, and reflective motivation were emphasized as the first targets to focus on. A key finding was the urge for real-life social connectedness and social integration, which makes the social component as part of physical activity a central theme to focus on within intervention development. Judgments on the most suitable intervention functions (step 5) and behavior change techniques (step 7) were explained. When discussing the mode of delivery of the intervention (step 8), it was underscored that solely relying on a mobile health app would not fulfill participants' social needs. Hence, the chosen intervention adopts a dyadic approach in which young individuals with intellectual disabilities are matched with peers without intellectual disabilities to engage in physical activities together, with a mobile app playing a supportive role in this partnership.

CONCLUSIONS

The transparent description of the development process highlights why certain intervention components and behavior change techniques were chosen and how they are intertwined by means of the selected intervention design. This paper provides a detailed blueprint for practitioners wanting to integrate the BCW and its associated behavior change techniques, in combination with actively involving the target group, into their intervention development for people with intellectual disabilities.

A mobile healthy lifestyle intervention to promote mental health in adolescence: a mixed-methods evaluation

BACKGROUND

A healthy lifestyle may improve mental health. It is yet not known whether and how a mobile intervention can be of help in achieving this in adolescents. This study investigated the effectiveness and perceived underlying mechanisms of the mobile health (mHealth) intervention #LIFEGOALS to promote healthy lifestyles and mental health. #LIFEGOALS is an evidence-based app with activity tracker, including self-regulation techniques, gamification elements, a support chatbot, and health narrative videos.

METHODS

A quasi-randomized controlled trial (N = 279) with 12-week intervention period and process evaluation interviews (n = 13) took place during the COVID-19 pandemic. Adolescents (12-15y) from the general population were allocated at school-level to the intervention (n = 184) or to a no-intervention group (n = 95). Health-related quality of life (HRQoL), psychological well-being, mood, self-perception, peer support, resilience, depressed feelings, sleep quality and breakfast frequency were assessed via a web-based survey; physical activity, sedentary time, and sleep routine via Axivity accelerometers. Multilevel generalized linear models were fitted to investigate intervention effects and moderation by pandemic-related measures. Interviews were coded using thematic analysis.

RESULTS

Non-usage attrition was high: 18% of the participants in the intervention group never used the app. An additional 30% stopped usage by the second week. Beneficial intervention effects were found for physical activity (χ21 = 4.36, P = .04), sedentary behavior (χ21 = 6.44, P = .01), sleep quality (χ21 = 6.11, P = .01), and mood (χ21 = 2.30, P = .02). However, effects on activity-related behavior were only present for adolescents having normal sports access, and effects on mood only for adolescents with full in-school education. HRQoL (χ22 = 14.72, P < .001), mood (χ21 = 6.03, P = .01), and peer support (χ21 = 13.69, P < .001) worsened in adolescents with pandemic-induced remote-education. Interviewees reported that the reward system, self-regulation guidance, and increased health awareness had contributed to their behavior change. They also pointed to the importance of social factors, quality of technology and autonomy for mHealth effectiveness.

CONCLUSIONS

#LIFEGOALS showed mixed results on health behaviors and mental health. The findings highlight the role of contextual factors for mHealth promotion in adolescence, and provide suggestions to optimize support by a chatbot and narrative episodes.

TRIAL REGISTRATION

ClinicalTrials.gov [NCT04719858], registered on 22/01/2021.

Co-creating an intervention to promote physical activity in adolescents with intellectual disabilities: lessons learned within the Move it, Move ID!-project

BACKGROUND

Co-creation is a method to develop acceptable, contextually appropriate and potentially more effective interventions. Adolescents with intellectual disabilities (ID) seldomly participate in research and program development due to the assumption that they lack the capacity to understand and discuss the related topics.

OBJECTIVE

This study describes reflections on a co-creation process with adolescents with ID from the point of view of the researchers in developing an intervention to increase physical activity. It was the aim to highlight elements that must be considered when implementing co-creation and consequently formulate important lessons learned.

METHODS

Twenty-three adolescents (14-22 y) with mild to moderate ID participated in six co-creation sessions at their school. The objectives and working methods in each session are described. Inductive thematic analysis was conducted on the researchers' reflection forms, which were completed after each session.

RESULTS

Seven main themes could be distinguished from the data: experiences related to assistance (i.e., teacher presence) during sessions, the importance of building rapport, co-decision making power, the impact of different group dynamics, the relevance of adapted questioning, the influence of co-creative working methods and required characteristics of a co-creation researcher.

CONCLUSION

Seven lessons learned were formulated when preparing and conducting co-creation with adolescents with ID. Innovative, concrete (non-abstract) and creative working methods are highly needed. Describing the entire process transparently could be a first step to turn co-creative research into an evidence-based methodology.

Older adults’ user engagement with mobile health: A systematic review of qualitative and mixed methods studies

Background and Objectives

The ageing population places increasing demands on our health care system. Mobile health offers potential to reduce this burden. The aim of this systematic review is to thematically synthesize qualitative evidence of older adults’ user engagement towards mobile health, and to generate relevant recommendations for intervention developers.

Research Design and Methods

A systematic literature search was performed in Medline, Embase, and Web of Science electronic databases from inception until February 2021. Papers on qualitative and mixed method studies that investigated older adults’ user engagement with a mobile health intervention were included. Relevant data were extracted and analyzed using thematic analysis. The Critical Appraisal Skills Programme Qualitative Checklist was used to assess the quality of the included studies.

Results

Thirty-two articles were deemed eligible for inclusion in the review. Three overarching analytical themes emerged from the twenty-five descriptive themes generated by the line-by-line coding: the limited capabilities, the prerequisite of motivation, and the importance of social support.

Discussion and Implications

Successful development and implementation of future mobile health intervention for older adults will be challenging given the physical and psychological limitations and motivational barriers that older adults experience. Design adaptations and well-thought-out blended alternatives (i.e. combining mobile health with face-to-face support) might be potential solutions to improve older adults’ user engagement with mobile health interventions.

Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial

Background

Mobile health (mHealth) interventions may help adolescents adopt healthy lifestyles. However, attrition in these interventions is high. Overall, there is a lack of research on nonusage attrition in adolescents, particularly regarding the role of socioeconomic status (SES).

Objective

The aim of this study was to focus on the role of SES in the following three research questions (RQs): When do adolescents stop using an mHealth intervention (RQ1)? Why do they report nonusage attrition (RQ2)? Which intervention components (ie, self-regulation component, narrative, and chatbot) prevent nonusage attrition among adolescents (RQ3)?

Methods

A total of 186 Flemish adolescents (aged 12-15 years) participated in a 12-week mHealth program. Log data were monitored to measure nonusage attrition and usage duration for the 3 intervention components. A web-based questionnaire was administered to assess reasons for attrition. A survival analysis was conducted to estimate the time to attrition and determine whether this differed according to SES (RQ1). Descriptive statistics were performed to map the attrition reasons, and Fisher exact tests were used to determine if these reasons differed depending on the educational track (RQ2). Mixed effects Cox proportional hazard regression models were used to estimate the associations between the use duration of the 3 components during the first week and attrition. An interaction term was added to the regression models to determine whether associations differed by the educational track (RQ3).

Results

After 12 weeks, 95.7% (178/186) of the participants stopped using the app. 30.1% (56/186) of the adolescents only opened the app on the installation day, and 44.1% (82/186) stopped using the app in the first week. Attrition at any given time during the intervention period was higher for adolescents from the nonacademic educational track compared with those from the academic track. The other SES indicators (family affluence and perceived financial situation) did not explain attrition. The most common reasons for nonusage attrition among participants were perceiving that the app did not lead to behavior change, not liking the app, thinking that they already had a sufficiently healthy lifestyle, using other apps, and not being motivated by the environment. Attrition reasons did not differ depending on the educational track. More time spent in the self-regulation and narrative components during the first week was associated with lower attrition, whereas chatbot use duration was not associated with attrition rates. No moderating effects of SES were observed in the latter association.

Conclusions

Nonusage attrition was high, especially among adolescents in the nonacademic educational track. The reported reasons for attrition were diverse, with no statistical differences according to the educational level. The duration of the use of the self-regulation and narrative components during the first week may prevent attrition for both educational tracks.

Trial Registration

ClinicalTrials.gov NCT04719858; http://clinicaltrials.gov/ct2/show/NCT04719858

Participatory Development and Pilot Testing of an Adolescent Health Promotion Chatbot

Background: The use of chatbots may increase engagement with digital behavior change interventions in youth by providing human-like interaction. Following a Person-Based Approach (PBA), integrating user preferences in digital tool development is crucial for engagement, whereas information on youth preferences for health chatbots is currently limited.

Objective: The aim of this study was to gain an in-depth understanding of adolescents' expectations and preferences for health chatbots and describe the systematic development of a health promotion chatbot.

Methods: Three studies in three different stages of PBA were conducted: (1) a qualitative focus group study (n = 36), (2) log data analysis during pretesting (n = 6), and (3) a mixed-method pilot testing (n = 73).

Results: Confidentiality, connection to youth culture, and preferences when referring to other sources were important aspects for youth in chatbots. Youth also wanted a chatbot to provide small talk and broader support (e.g., technical support with the tool) rather than specifically in relation to health behaviors. Despite the meticulous approach of PBA, user engagement with the developed chatbot was modest.

Conclusion: This study highlights that conducting formative research at different stages is an added value and that adolescents have different chatbot preferences than adults. Further improvement to build an engaging chatbot for youth may stem from using living databases.

Inequality in physical activity, global trends by income inequality and gender in adults

Background

Physical inactivity is a global pandemic associated with a high burden of disease and premature mortality. There is also a trend in growing economic inequalities which impacts population health. There is no global analysis of the relationship between income inequality and population levels of physical inactivity.

Methods

Two thousand sixteen World Health Organisation’s country level data about compliance with the 2010 global physical activity guidelines were analysed against country level income interquantile ratio data obtained from the World Bank, OECD and World Income Inequality Database. The analysis was stratified by country income (Low, Middle and High) according to the World Bank classification and gender. Multiple regression was used to quantify the association between physical activity and income inequality. Models were adjusted for GDP and percentage of GDP spent on health care for each country and out of pocket health care spent.

Results

Significantly higher levels of inactivity and a wider gap between the percentage of women and men meeting global physical activity guidelines were found in countries with higher income inequality in high and middle income countries irrespective of a country wealth and spend on health care. For example, in higher income countries, for each point increase in the interquantile ratio data, levels of inactivity in women were 3.73% (CI 0.89 6.57) higher, levels of inactivity in men were 2.04% (CI 0.08 4.15) higher and the gap in inactivity levels between women and men was 1.50% larger (CI 0.16 2.83). Similar relationships were found in middle income countries with lower effect sizes. These relationships were, however, not demonstrated in the low-income countries.

Conclusions

Economic inequalities, particularly in high- and middle- income countries might contribute to physical inactivity and might be an important factor to consider and address in order to combat the global inactivity pandemic and to achieve the World Health Organisation target for inactivity reduction.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-020-01039-x.

The association of healthy lifestyle behaviors with mental health indicators among adolescents of different family affluence in Belgium

BACKGROUND

Healthy lifestyles may contribute to better mental health, which is particularly important in adolescence, an age at which half of all mental health problems first occur. This association may be even more relevant in adolescents of low family affluence, who show more mental health problems, as well as more unhealthy lifestyles. This study investigated healthy lifestyle behaviors, namely sufficient sleep and physical activity, daily breakfast intake, low levels of alcohol use or smoking, in relation to mental health and symptoms of mental health problems (feelings of depression, anxiety, stress and self-esteem) among adolescents from different family affluence. Furthermore, the moderating role of family affluence was examined in those relations.

METHODS

Adolescents aged 12-18y were recruited via a random sample of schools in Flanders, Belgium. A total of 1037 adolescents participated (mean age = 15.2, 49.8% female). Independent samples t-tests, Mann Whitney U-tests and χ²-tests determined the differences in healthy lifestyle behaviors and mental health indicators between adolescents of low-medium and high family affluence. Regression analyses assessed the association between healthy lifestyles and mental health outcomes and the moderating role of family affluence.

RESULTS

All healthy lifestyle behaviors were associated with at least one mental health outcome, with the exception of alcohol consumption. Adolescents from low-medium family affluence had lower levels of physical activity, less often took breakfast, had lower levels of alcohol consumption and reported lower self-esteem than adolescents from high family affluence. The results showed no moderating effect of family affluence for the association between healthy lifestyle and mental health.

CONCLUSION

These findings support the value of integrating healthy lifestyle behaviors in interventions for mental health promotion, for both youth of low-medium and high family affluence.