Results of a 2-year randomized, controlled obesity prevention trial: Effects on diet, activity and sleep behaviors in an at-risk young adult population

Assessing and Enhancing Nutrition and Physical Activity Environments in Early Childhood Education and Care Centers: Scoping Review of eHealth Tools

BACKGROUND

Early childhood is a critical period for shaping lifelong health behaviors, making early childhood education and care (ECEC) environments ideal for implementing nutrition and physical activity interventions. eHealth tools are increasingly utilized in ECEC settings due to their accessibility, scalability, and cost-effectiveness, demonstrating promise in enhancing educators' practices. Despite the potential effectiveness of these eHealth approaches, a comprehensive collection of available evidence on eHealth tools designed to assess or support best practices for nutrition or physical activity in ECECs is currently lacking.

OBJECTIVE

The primary objective of this scoping review is to map the range of available eHealth tools designed to assess or deliver interventions aimed at improving nutrition or physical activity in ECEC settings, while evaluating their components, theoretical foundations, and effectiveness.

METHODS

This scoping review adhered to the Joanna Briggs Institute methodology, in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist. The objectives, inclusion criteria, and methods for this review were predefined and specified. Eligibility criteria were (1) early childhood educators (population); (2) eHealth (digital) technologies, such as websites, smartphone apps, emails, and social media; and (3) tools designed to assess or deliver interventions aimed at improving best practices for nutrition, physical activity, or both within ECEC settings (context). A search was conducted across 5 electronic databases (PubMed, Scopus, CINAHL Plus, ERIC, and Embase) to identify white literature, and 3 electronic databases (ProQuest, Google Scholar, and targeted Google search), along with hand-searching of reference lists, were used to identify gray literature. All literature was reported in English or French, with the search extending until May 2024. Separate data charting tools were used for white and gray literature.

RESULTS

The search strategy identified 3064 results for white literature, yielding 2653 unique citations after duplicates were removed. Full texts for 65 citations were retrieved and screened for inclusion, resulting in 30 studies eligible for data extraction and analysis. The most common study design was a randomized controlled trial, comprising 16 studies (53%). The largest proportion of studies were conducted in the United States (11 studies, 37%). In total, 19 eHealth tools were identified, targeting nutrition (8 tools, 42%), physical activity (5 tools, 26%), or both nutrition and physical activity (6 tools, 32%). All tools were web based (19 tools, 100%). The gray literature search yielded 1054 results, of which 17 were moved to full-text screening, and 7 met the eligibility criteria for data extraction and analysis. The tools identified in the gray literature originated in Canada (4 tools, 57%) and the United States (3 tools, 43%). The majority targeted nutrition (4 tools, 57%) and were primarily web based (6 tools, 86%), with 1 mobile app (1 tool, 14%).

CONCLUSIONS

This scoping review mapped the available eHealth tools designed to improve nutrition or physical activity environments in ECEC settings, highlighting the growing emphasis on web-based tools and the need for psychometric testing. Future research should systematically evaluate the effectiveness of these tools, particularly those addressing both nutrition and physical activity, to identify the key factors that contribute to long-term behavior change.

TRIAL REGISTRATION

Open Science Framework XTRNZ; https://osf.io/xtrnz.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/52252.

Nigerian adolescents' exposure to fast food marketing via Instagram

OBJECTIVES

To explore the promotion of fast food to lower-income adolescents on Instagram with the specific aims of (i) identifying the marketing strategies used by fast food brands on Instagram to promote fast food to Nigerian adolescents and (ii) examining the influence of these strategies on user engagement.

DESIGN

A content analysis of posts from a 90-day period of the Instagram accounts of five fast-food brands in Nigeria was conducted. Overall, 576 posts were analysed, using a codebook developed based on the relevant literature, to identify adolescent-targeted strategies. User engagement was measured by number of likes each post received.

RESULTS

The observed brands frequently utilised adolescent-targeted marketing strategies, with the most popular strategies being emotional appeal, 'teen language' and product appeal. The results of Mann-Whitney U tests revealed significant associations between the use of these promotional strategies and user engagement. Adolescent-aimed strategies like product appeal and competitions resulted in higher user engagement with fast food promotional content.

CONCLUSION

Fast food companies heavily target lower income adolescents through the use of Instagram. This raises health concerns related to the consumption of unhealthy food that arises from regular advertising in that demographic. Further, this exposure increases ad interactions that could cause adolescents to view fast foods more positively. Overall, findings indicate the need for actions aiming to limit and reduce the effect of adolescents' exposure to fast food marketing on social media, to target the features of social media platforms which affords users the ability to interact with fast food advertisements.

The effectiveness of internet-based group behavioural interventions on lifestyle modifications: A systematic review

OBJECTIVES

To examine the effectiveness of internet-based group interventions incorporating social support elements in addressing behaviours related to smoking, nutrition, alcohol consumption, physical activity, and obesity.

METHODS

A literature search was undertaken in six databases from inception to April 2024. Articles were eligible if they reported on group-based online interventions targeting smoking, nutrition, alcohol consumption, physical activity, and obesity, and included interactive features aimed at promoting social engagement and support. Two reviewers independently screened and assessed the quality of articles using Joanna Briggs Institute Critical Appraisal tools. A narrative analysis was used to synthesize and interpret the data to understand the effects of online interventions on lifestyle modifications.

RESULTS

A total of 4063 citations underwent screening, resulting in 32 articles being deemed eligible and included in this review. Most studies examined physical activity (n = 14), followed by obesity (n = 7) and smoking (n = 6), Most studies were conducted in the USA (n = 14) and Australia (n = 11). Websites were the most utilised mode of intervention delivery (n = 11), followed by Facebook (n = 7) and mobile apps (n = 5). Group-based internet interventions were effective in improving smoking cessation, increasing physical activity and addressing obesity. However, there is insufficient data to determine their effect on promoting healthy nutrition and reducing alcohol intake.

CONCLUSION

Group-based interventions delivered on the internet are effective in changing various health behaviours. This approach can offer large scale and cost-effective means to deliver behavioural interventions. However, the long-term effects and strategies for maintaining the behaviour changes are lacking, underscoring the need for further research.

Variety Predicts Discretionary Food and Beverage Intake of Australian Adults: A Cross-Sectional Analysis of an Online Food Intake Survey

BACKGROUND

Variety has been used as a strategy for increasing intakes of healthy foods, but has not been well explored with respect to discretionary food/beverages. The diverse sensory properties of these foods suggests that variety could play an important role in total intake.

OBJECTIVE

This study explored variety as a predictor of intake of discretionary food/beverages, and described the variety of these items consumed by Australian adults.

DESIGN

Secondary analyses of cross-sectional data from a validated, online survey that assesses participants' dietary intake using frequency and portion-based questions. Discretionary food/beverages are grouped into 11 categories.

PARTICIPANTS/SETTING

Participants included 235,203 Australian adults, aged 18 years or older, who provided data from May 2015 to November 2020.

OUTCOME MEASURES

Variety was the number of categories of discretionary food/beverages consumed. Servings were estimated from usual intake questions, and percent contribution summarized by category. Consumption prevalence was the proportion of the sample/subgroup consuming each category. Consumption was calculated as the mean of the sample and per capita in servings.

STATISTICAL ANALYSES PERFORMED

Descriptive statistics were used to present variety and percent contribution to total intake across the sample and subgroups, and multiple regression was used to examine whether or not variety predicted intake of discretionary food/beverages.

RESULTS

Participants consumed a median of 8 categories of discretionary food/beverages, with every additional category associated wit h an increase in intake of half a serving of discretionary food/beverages per day (B = 0.48; P < 0.001). Alcohol, cakes and cookies, takeaway, and confectionary collectively contributed around two-thirds of total daily intake of discretionary food/beverages, with alcohol contributing the largest proportion (28.3% of total daily intake).

CONCLUSIONS

Variety is related to total intake of discretionary food/beverages. Intervention approaches targeting a reduction in variety, as an alternative to a focus on portion size or frequency of intake, would be a novel way of addressing overconsumption of discretionary food/beverages in future research.

Physical activity interventions have a moderate effect in increasing physical activity in university students-a meta-analysis

INTRODUCTION

The transition to college is associated with changes in physical activity. This meta-analysis aims to quantify the effect of interventions on increasing physical activity in healthy university students.

METHODS

We conducted a literature search (up to 2/3/2020) to identify randomized controlled trials with healthy undergraduate or graduate students enrolled in a college degree program. Moderator analyses were conducted to examine the effects of intervention modality delivery (delivered in-person or remotely) and the type of outcome measure (self-report or objective measures).

RESULTS

18 publications were included. Interventions had a medium effect on physical activity (Cohen's d = 0.52). Moderator analyses revealed no differences.

CONCLUSION

Suggestions of how to improve the quality of physical activity intervention studies in college students are given. The moderate effect size of physical activity interventions in college students highlights the importance of developing and testing new interventions to promote physical activity in emerging adults.

Supplemental data for this article can be accessed online at https://doi.org/10.1080/07448481.2021.1998070 .

Dietary outcomes of community-based CVD preventive interventions: a systematic review and meta-analysis

OBJECTIVE

We aimed to synthesise available evidence on the effects of community-based interventions in improving various dietary outcome measures.

DESIGN

Systematic review and meta-analysis.

SETTING

We searched databases including Medline, EMBASE, PSYCINFO, CINAHL and the Cochrane registry for studies reported between January 2000 and June 2022. The methodological quality of the included studies was evaluated using the Cochrane risk of bias tools for each study type. For some of the outcomes, we pooled the effect size using a random-effects meta-analysis.

PARTICIPANTS

A total of fifty-one studies, thirty-three randomised and eighteen non-randomised, involving 100 746 participants were included.

RESULTS

Overall, thirty-seven studies found a statistically significant difference in at least one dietary outcome measure favouring the intervention group, whereas fourteen studies found no statistically significant difference. Our meta-analyses indicated that, compared with controls, interventions were effective in decreasing daily energy intake (MJ/d) (mean difference (MD): -0·25; 95 % CI: -0·37, -0·14), fat % of energy (MD: -1·01; 95 % CI: -1·76, -0·25) and saturated fat % of energy (MD: -1·54; 95 % CI: -2·01, -1·07). Furthermore, the interventions were effective in improving fibre intake (g/d) (MD: 1·08; 95 % CI: 0·39, 1·77). Effective interventions use various strategies including tailored individual lifestyle coaching, health education, health promotion activities, community engagement activities and/or structural changes.

CONCLUSION

This review shows the potential of improving dietary patterns through community-based CVD preventive interventions. Thus, development and implementation of context-specific preventive interventions could help to minimise dietary risk factors, which in turn decrease morbidity and mortality due to CVD and other non-communicable diseases.

Persistent, High Levels of Social Jetlag Predict Poor Weight Outcomes in a Weight Gain Prevention Study for Young adults

INTRODUCTION

Social jetlag (SJL), the discrepancy in sleep timing between weekdays and weekends, is associated with higher BMI and cardiometabolic risk and is common in young adults. We examined whether chronic SJL impacts weight gain in young adults participating in a weight gain prevention trial.

METHODS

Young adults (n = 599, age 18-35; BMI: 21.0-30.9 kg/m²) completed assessments at 0, 4, 12, and 24 months. Multilevel mixed growth models were used to examine (1) associations between demographics and longitudinal SJL and (2) longitudinal SJL as a predictor of weight change and cardiometabolic outcomes. SJL was assessed as a continuous and clinically-significant dichotomous (< vs. ≥2 h) variable.

RESULTS

38% of participants had clinically-significant SJL at ≥ 1 timepoints (Baseline M ± SD = 1.3±0.89). Younger (b=-0.05, p < 0.001), female (b = 0.18, p = 0.037) and Black (compared to White, b = 0.23, p = 0.045) participants were more likely to have greater SJL. Individuals with high SJL (≥ 2 h; between-person effect) were more likely to have greater weight gain over 2 years (b = 0.05, p = 0.028). High SJL did not affect the rate of change in waist circumference or cardiometabolic markers over time.

CONCLUSIONS

High SJL is associated with greater weight gain over time. Reducing SJL may positively impact weight status in young adults.

Effectiveness of community-based cardiovascular disease prevention interventions to improve physical activity: A systematic review and meta-regression

Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality globally. Despite preventive community-based interventions (CBIs) seem efficacious in reducing CVD risks, a comprehensive up-to-date synthesis on the effectiveness of such interventions in improving physical activity (PA) is lacking. We performed a systematic review and meta-analysis of community-based CVD preventive interventions aimed at improving PA level. MEDLINE, EMBASE, CINAHL, Cochrane register and PSYCINFO databases were searched in October 2019 for studies reported between January 2000 and June 2019. We assessed the methodological quality of included studies using the Cochrane risk of bias tools. We performed a random-effects meta-analysis and meta-regression to pool estimates of various effect measures. Results are reported in line with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guideline. Our study protocol was registered in the PROSPERO database (CRD42019119885). A total of 44 randomized and 20 non-randomized controlled studies involving 98,919 participants were included. Meta-analyses found that CBIs improved the odds of attaining the recommended PA level (at least 150 min of moderate and vigorous PA (MVPA)/week) at 12 month (OR: 1.62; 95%CI: 1.25-2.11) and 18 to 24 months of follow-up (OR: 1.46; 95%CI: 1.12-1.91). Furthermore, interventions were effective in improving metabolic equivalents of task at 12 month (standardized mean difference (SMD): 0.28; 95% CI: 0.03-0.53), MVPA time at 12 to 18 months (SMD: 0.34; 95%CI: 0.05-0.64), steps per day (SMD: 0.32; 95%CI: 0.08-0.55), and sitting time (SMD: -0.25; 95%CI: -0.34 to -0.17). Subgroup analyses found that interventions in low- and middle-income countries showed a greater positive effect on attainment of recommended PA level (OR: 1.40; 95%CI: 1.02-1.92) than those in high-income countries (OR: 1.31; 95%CI: 0.96-1.78). Moreover, interventions targeting high-risk groups showed greater effectiveness than those targeting the general population (OR: 1.76; 95%CI: 1.30-2.39 vs. 1.17; 95%CI: 0.89-1.55). In conclusion, community-based CVD preventive interventions have a positive impact on improving the PA level, albeit that relevant studies in lower-middle and low-income countries are limited. With the rising burden of CVDs, rolling out CBIs targeting the general population and high-risk groups are needed to control the growing CVD-burden.

Breaking habits or breaking habitual behaviours? Old habits as a neglected factor in weight loss maintenance

Maintaining weight loss requires long-term behaviour change. Theory and evidence around habitual behaviour - i.e., action triggered by impulses that are automatically activated upon exposure to cues, due to learned cue-action associations - can aid development of interventions to support weight loss maintenance. Specifically, weight loss is more likely to be sustained where people develop new habits that support weight management, and break old habits that may undermine such efforts. Interventions seeking to break 'bad' weight-related habits have focused on inhibiting unwanted impulses or avoiding cues. This paper draws attention to the possibility that while such approaches may discontinue habitual behaviour, underlying habit associations may remain. We use evidence from existing qualitative studies to demonstrate that, left unchecked, unwanted habit associations can render people prone to lapsing into old patterns of unhealthy behaviours when motivation or willpower is momentarily weakened, or when returning to familiar settings following temporarily discontinued exposure. We highlight six behaviour change techniques especially suited to disrupting habit associations, but show that these techniques have been underused in weight loss maintenance interventions to date. We call for intervention developers and practitioners to adopt techniques conducive to forming new habit associations to directly override old habits, and to use the persistence of unwanted habit associations as a potential indicator of long-term weight loss intervention effectiveness.

Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population

BACKGROUND

Social networking platforms offer a wide reach for public health interventions allowing communication with broad audiences using tools that are generally free and straightforward to use and may be combined with other components, such as public health policies. We define interactive social media as activities, practices, or behaviours among communities of people who have gathered online to interactively share information, knowledge, and opinions.

OBJECTIVES

We aimed to assess the effectiveness of interactive social media interventions, in which adults are able to communicate directly with each other, on changing health behaviours, body functions, psychological health, well-being, and adverse effects. Our secondary objective was to assess the effects of these interventions on the health of populations who experience health inequity as defined by PROGRESS-Plus. We assessed whether there is evidence about PROGRESS-Plus populations being included in studies and whether results are analysed across any of these characteristics.

SEARCH METHODS

We searched CENTRAL, CINAHL, Embase, MEDLINE (including trial registries) and PsycINFO. We used Google, Web of Science, and relevant web sites to identify additional studies and searched reference lists of included studies. We searched for published and unpublished studies from 2001 until June 1, 2020. We did not limit results by language.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), controlled before-and-after (CBAs) and interrupted time series studies (ITSs). We included studies in which the intervention website, app, or social media platform described a goal of changing a health behaviour, or included a behaviour change technique. The social media intervention had to be delivered to adults via a commonly-used social media platform or one that mimicked a commonly-used platform. We included studies comparing an interactive social media intervention alone or as a component of a multi-component intervention with either a non-interactive social media control or an active but less-interactive social media comparator (e.g. a moderated versus an unmoderated discussion group). Our main outcomes were health behaviours (e.g. physical activity), body function outcomes (e.g. blood glucose), psychological health outcomes (e.g. depression), well-being, and adverse events. Our secondary outcomes were process outcomes important for behaviour change and included knowledge, attitudes, intention and motivation, perceived susceptibility, self-efficacy, and social support.

DATA COLLECTION AND ANALYSIS

We used a pre-tested data extraction form and collected data independently, in duplicate. Because we aimed to assess broad outcomes, we extracted only one outcome per main and secondary outcome categories prioritised by those that were the primary outcome as reported by the study authors, used in a sample size calculation, and patient-important.

MAIN RESULTS

We included 88 studies (871,378 participants), of which 84 were RCTs, three were CBAs and one was an ITS. The majority of the studies were conducted in the USA (54%). In total, 86% were conducted in high-income countries and the remaining 14% in upper middle-income countries. The most commonly used social media platform was Facebook (39%) with few studies utilising other platforms such as WeChat, Twitter, WhatsApp, and Google Hangouts. Many studies (48%) used web-based communities or apps that mimic functions of these well-known social media platforms. We compared studies assessing interactive social media interventions with non-interactive social media interventions, which included paper-based or in-person interventions or no intervention. We only reported the RCT results in our 'Summary of findings' table. We found a range of effects on health behaviours, such as breastfeeding, condom use, diet quality, medication adherence, medical screening and testing, physical activity, tobacco use, and vaccination. For example, these interventions may increase physical activity and medical screening tests but there was little to no effect for other health behaviours, such as improved diet or reduced tobacco use (20,139 participants in 54 RCTs). For body function outcomes, interactive social media interventions may result in small but important positive effects, such as a small but important positive effect on weight loss and a small but important reduction in resting heart rate (4521 participants in 30 RCTs). Interactive social media may improve overall well-being (standardised mean difference (SMD) 0.46, 95% confidence interval (CI) 0.14 to 0.79, moderate effect, low-certainty evidence) demonstrated by an increase of 3.77 points on a general well-being scale (from 1.15 to 6.48 points higher) where scores range from 14 to 70 (3792 participants in 16 studies). We found no difference in effect on psychological outcomes (depression and distress) representing a difference of 0.1 points on a standard scale in which scores range from 0 to 63 points (SMD -0.01, 95% CI -0.14 to 0.12, low-certainty evidence, 2070 participants in 12 RCTs). We also compared studies assessing interactive social media interventions with those with an active but less interactive social media control (11 studies). Four RCTs (1523 participants) that reported on physical activity found an improvement demonstrated by an increase of 28 minutes of moderate-to-vigorous physical activity per week (from 10 to 47 minutes more, SMD 0.35, 95% CI 0.12 to 0.59, small effect, very low-certainty evidence). Two studies found little to no difference in well-being for those in the intervention and control groups (SMD 0.02, 95% CI -0.08 to 0.13, small effect, low-certainty evidence), demonstrated by a mean change of 0.4 points on a scale with a range of 0 to 100. Adverse events related to the social media component of the interventions, such as privacy issues, were not reported in any of our included studies. We were unable to conduct planned subgroup analyses related to health equity as only four studies reported relevant data.

AUTHORS' CONCLUSIONS

This review combined data for a variety of outcomes and found that social media interventions that aim to increase physical activity may be effective and social media interventions may improve well-being. While we assessed many other outcomes, there were too few studies to compare or, where there were studies, the evidence was uncertain. None of our included studies reported adverse effects related to the social media component of the intervention. Future studies should assess adverse events related to the interactive social media component and should report on population characteristics to increase our understanding of the potential effect of these interventions on reducing health inequities.

Risk factors of overweight/obesity-related lifestyles in university students: Results from the EHU12/24 study

This paper investigates the prevalence and interaction of overweight/obesity-related lifestyles (specifically, examining whether subjects meet the recommended criteria), in a representative sample of university students. This study is part of the project EHU12/24, an observational cross-sectional study, designed to assess the prevalence of excess body fat (BF) and major risk of developing overweight/obesity, according to a standardised protocol. In a cohort of 603 students, aged between 18 and 28 years, of the University of the Basque Country, information about meal patterns, diet quality, physical activity, sitting time, sleeping time, toxic habits and anthropometric measurements were collected. Sampling took place from February 2014 to May 2017. Binary logistic regression models adjusted for the covariates were utilised to test the association between lifestyles and risk of excess adiposity. The prevalence of overweight/obesity, according to BF percentage, was 14·4 %. The variables analysed related to meal pattern were associated with diet quality, and less healthy food habits were associated with other less health-related behaviours. Among men, moderate/low physical activity, breakfast skipping, non-adequate breakfast duration, number of eating occasions and eating breakfast alone/depending on the occasion were associated with excess BF, while among women, low MedDietScore, moderate/high alcohol consumption, non-adequate sleep duration, eating breakfast and lunch alone/depending on the occasion. Results suggest that certain unhealthy lifestyle behaviours coexist, interact with one another and increase the risk of overweight/obesity in this population. Sex-specific differences in risk factors of obesity have implications for interventions for primary prevention of obesity within this environment.

Recruiting and retaining young adults: what can we learn from behavioural interventions targeting nutrition, physical activity and/or obesity? A systematic review of the literature

OBJECTIVE

To describe strategies used to recruit and retain young adults in nutrition, physical activity and/or obesity intervention studies, and quantify the success and efficiency of these strategies.

DESIGN

A systematic review was conducted. The search included six electronic databases to identify randomised controlled trials (RCT) published up to 6 December 2019 that evaluated nutrition, physical activity and/or obesity interventions in young adults (17-35 years). Recruitment was considered successful if the pre-determined sample size goal was met. Retention was considered acceptable if ≥80 % retained for ≤6-month follow-up or ≥70 % for >6-month follow-up.

RESULTS

From 21 582 manuscripts identified, 107 RCT were included. Universities were the most common recruitment setting used in eighty-four studies (79 %). Less than half (46 %) of the studies provided sufficient information to evaluate whether individual recruitment strategies met sample size goals, with 77 % successfully achieving recruitment targets. Reporting for retention was slightly better with 69 % of studies providing sufficient information to determine whether individual retention strategies achieved adequate retention rates. Of these, 65 % had adequate retention.

CONCLUSIONS

This review highlights poor reporting of recruitment and retention information across trials. Findings may not be applicable outside a university setting. Guidance on how to improve reporting practices to optimise recruitment and retention strategies within young adults could assist researchers in improving outcomes.

Effectiveness of interventions and behaviour change techniques for improving physical activity in young adults: A systematic review and meta-analysis

Physical activity (PA) participation declines from adolescence to young adulthood. This review evaluates the effectiveness of interventions aiming to improve PA among healthy young adults (17-35 years), and the effectiveness of the behaviour change techniques (BCTs) used. Six electronic databases were searched up to December 2019, for randomized controlled trials aiming to achieve PA behaviour change among young adults. In total, 66 RCTs were included. Meta-analyses for moderate-vigorous PA (n = 11 studies), steps (n = 5 studies) and total PA (MET min/week, n = 11 studies) identified that intervention participants compared with control significantly increased PA at time points up to 3 months and >3 months. Narrative synthesis identified that 34 RCTs (52%) reported significant between group differences favouring the intervention for one or more PA outcome. BCTs with the highest effectiveness were material reward, valued self-identity and habit formation. However, the overall test of significance demonstrated no significant relationship between type or number of BCTs and effectiveness. This review identified interventions that improve steps, moderate-vigorous and total PA in young adults in the shorter-term, and BCTs associated with greater effectiveness. Further research is needed to determine strategies to achieve longer-term effectiveness of PA interventions in young adults.

Are perceptions of government intervention for prevention different by gender and age? Results from the AUStralian Perceptions Of Prevention Survey (AUSPOPS)

OBJECTIVES

Understanding public opinion and community attitudes is needed to help the implementation of chronic disease prevention policies that are acceptable to the population. The AUStralian Perceptions Of Prevention Survey ('AUSPOPS') is a national survey designed to provide evidence on the views of Australians regarding government intervention for prevention. However there is limited evidence whether age and gender have modifying effects on attitudes about prevention.

METHODS

Using results from the 2018 AUSPOPS dataset, this study examines whether the effect of age on attitudes about prevention is modified by the effect of gender. Survey questions included views about statements for government intervention and whether government had gone far enough for thirteen different preventive interventions.

RESULTS

2601 Australian residents aged 18 years or older participated in the survey (response rate 16.7%). Results showed strong support for prevention framed as a shared responsibility between governments and individuals. Interventions where >50% of respondents felt the government had not gone far enough in prevention were restricting unhealthy food advertising for children and setting salt limits on processed food. There were significant age by gender interactions in a small number (n = 4) of questions examining support for government intervention for prevention, suggesting young men were least in favour of more action by government.

CONCLUSIONS

There is general support in the Australian community for government intervention for prevention. Policymakers could capitalize on this sentiment by prioritizing policies with high levels of support across all groups, and target population subgroups on issues where acceptability appears to be heterogenous.

Interventions outside the workplace for reducing sedentary behaviour in adults under 60 years of age

BACKGROUND

Adults spend a majority of their time outside the workplace being sedentary. Large amounts of sedentary behaviour increase the risk of type 2 diabetes, cardiovascular disease, and both all-cause and cardiovascular disease mortality.

OBJECTIVES

Primary • To assess effects on sedentary time of non-occupational interventions for reducing sedentary behaviour in adults under 60 years of age Secondary • To describe other health effects and adverse events or unintended consequences of these interventions • To determine whether specific components of interventions are associated with changes in sedentary behaviour • To identify if there are any differential effects of interventions based on health inequalities (e.g. age, sex, income, employment) SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, Cochrane Database of Systematic Reviews, CINAHL, PsycINFO, SportDiscus, and ClinicalTrials.gov on 14 April 2020. We checked references of included studies, conducted forward citation searching, and contacted authors in the field to identify additional studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) and cluster RCTs of interventions outside the workplace for community-dwelling adults aged 18 to 59 years. We included studies only when the intervention had a specific aim or component to change sedentary behaviour.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened titles/abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted trial authors for additional information or data when required. We examined the following primary outcomes: device-measured sedentary time, self-report sitting time, self-report TV viewing time, and breaks in sedentary time.

MAIN RESULTS

We included 13 trials involving 1770 participants, all undertaken in high-income countries. Ten were RCTs and three were cluster RCTs. The mean age of study participants ranged from 20 to 41 years. A majority of participants were female. All interventions were delivered at the individual level. Intervention components included personal monitoring devices, information or education, counselling, and prompts to reduce sedentary behaviour. We judged no study to be at low risk of bias across all domains. Seven studies were at high risk of bias for blinding of outcome assessment due to use of self-report outcomes measures. Primary outcomes Interventions outside the workplace probably show little or no difference in device-measured sedentary time in the short term (mean difference (MD) -8.36 min/d, 95% confidence interval (CI) -27.12 to 10.40; 4 studies; I² = 0%; moderate-certainty evidence). We are uncertain whether interventions reduce device-measured sedentary time in the medium term (MD -51.37 min/d, 95% CI -126.34 to 23.59; 3 studies; I² = 84%; very low-certainty evidence) We are uncertain whether interventions outside the workplace reduce self-report sitting time in the short term (MD -64.12 min/d, 95% CI -260.91 to 132.67; I² = 86%; very low-certainty evidence). Interventions outside the workplace may show little or no difference in self-report TV viewing time in the medium term (MD -12.45 min/d, 95% CI -50.40 to 25.49; 2 studies; I² = 86%; low-certainty evidence) or in the long term (MD 0.30 min/d, 95% CI -0.63 to 1.23; 2 studies; I² = 0%; low-certainty evidence). It was not possible to pool the five studies that reported breaks in sedentary time given the variation in definitions used. Secondary outcomes Interventions outside the workplace probably have little or no difference on body mass index in the medium term (MD -0.25 kg/m², 95% CI -0.48 to -0.01; 3 studies; I² = 0%; moderate-certainty evidence). Interventions may have little or no difference in waist circumference in the medium term (MD -2.04 cm, 95% CI -9.06 to 4.98; 2 studies; I² = 65%; low-certainty evidence). Interventions probably have little or no difference on glucose in the short term (MD -0.18 mmol/L, 95% CI -0.30 to -0.06; 2 studies; I² = 0%; moderate-certainty evidence) and medium term (MD -0.08 mmol/L, 95% CI -0.21 to 0.05; 2 studies, I² = 0%; moderate-certainty evidence) Interventions outside the workplace may have little or no difference in device-measured MVPA in the short term (MD 1.99 min/d, 95% CI -4.27 to 8.25; 4 studies; I² = 23%; low-certainty evidence). We are uncertain whether interventions improve device-measured MVPA in the medium term (MD 6.59 min/d, 95% CI -7.35 to 20.53; 3 studies; I² = 70%; very low-certainty evidence). We are uncertain whether interventions outside the workplace improve self-reported light-intensity PA in the short-term (MD 156.32 min/d, 95% CI 34.34 to 278.31; 2 studies; I² = 79%; very low-certainty evidence). Interventions may have little or no difference on step count in the short-term (MD 226.90 steps/day, 95% CI -519.78 to 973.59; 3 studies; I² = 0%; low-certainty evidence) No data on adverse events or symptoms were reported in the included studies.

AUTHORS' CONCLUSIONS

Interventions outside the workplace to reduce sedentary behaviour probably lead to little or no difference in device-measured sedentary time in the short term, and we are uncertain if they reduce device-measured sedentary time in the medium term. We are uncertain whether interventions outside the workplace reduce self-reported sitting time in the short term. Interventions outside the workplace may result in little or no difference in self-report TV viewing time in the medium or long term. The certainty of evidence is moderate to very low, mainly due to concerns about risk of bias, inconsistent findings, and imprecise results. Future studies should be of longer duration; should recruit participants from varying age, socioeconomic, or ethnic groups; and should gather quality of life, cost-effectiveness, and adverse event data. We strongly recommend that standard methods of data preparation and analysis are adopted to allow comparison of the effects of interventions to reduce sedentary behaviour.

Exploring the role of social support and social media for lifestyle interventions to prevent weight gain with young adults: Focus group findings

BACKGROUND

Young adults gain more weight annually than other adults and may be destined for future obesity. Effective interventions are needed, and social support may be a key element for success. The present study explores how best to leverage social media to support young adults with their health goals in a healthy lifestyle programme.

METHOD

Young adults aged 18-25 years were recruited from the community to a series of four focus groups led by an experienced facilitator who used a discussion guide developed a priori. The discussion explored their opinions regarding which social media platforms were appropriate for providing social support, the types of support that were relevant (family and friends versus strangers) and factors that would encourage peer-to-peer communication in a healthy lifestyle intervention. Sessions were audio-taped, transcribed and analysed using the qualitative software, nvivo, version 11 (QSR International Pty Ltd., Melbourne, VIC, Australia). Themes were generated using an inductive approach informed by the Theory of Social Identity and Social Influence Model of Consumer Participation.

RESULTS

Thirty-three people (12 male) participated. Facebook was the most popular platform for facilitating social support as a result of its private group capabilities and already being embedded into their daily routines. The preference was to be grouped with strangers who shared similar goals in smaller groups of participants. The discussions highlighted the integral role of a credible and relatable health coach to serve as a mentor, mediator and role model.

CONCLUSIONS

The learnings from this research will be applied to optimise engagement within social media support groups in lifestyle interventions.

The efficacy of electronic health interventions targeting improved sleep for achieving prevention of weight gain in adolescents and young to middle-aged adults: A systematic review

Sleep is emerging as a modifiable risk factor in counteracting harmful weight gain. Electronic and mobile devices offer a channel for wide-reaching intervention delivery. This systematic review aimed to determine the efficacy of interventions that included sleep behaviour as part of health promotion for preventing weight gain. Seven databases were searched from 1 January 2000 until 28 June 2019. Eligible studies were controlled trials of weight gain prevention programs that addressed sleep in healthy participants aged 13 to 44 years of age. The primary outcome was change in measured or self-reported weight. From 824 publications located, only six eligible trials with a total of 3,277 participants were identified and all addressed multiple behaviours. One study demonstrated a decrease in weight for the intervention group, and two other studies showed a decreased prevalence of overweight and obesity. Only one trial showed improved sleep duration but failed to show differences in weight. No definitive conclusions concerning the efficacy of electronic weight gain prevention interventions that include sleep can be made, but future trials should provide more detail about intervention techniques used, employ objective sleep and physical activity measures and undertake mediation analysis to judge the contributions of changes in sleep to study outcomes. PROSPERO REGISTRATION: CRD42019121879.

Sixteen-Week Physical Activity Intervention in Subjects With Increased Cardiometabolic Risk Shifts Innate Immune Function Towards a Less Proinflammatory State

Background

Low‐grade inflammation, largely mediated by monocyte‐derived macrophages, contributes to atherosclerosis. Sedentary behavior is associated with atherosclerosis and cardiovascular diseases (CVD). We examined whether reducing sedentary behavior and improving walking time improves monocyte inflammatory phenotype in subjects with increased cardiovascular risk.

Methods and Results

Across 2 waves, 16 individuals with increased cardiovascular risk performed a 16‐week intervention study (age 64±6 years, body mass index 29.9±4.3 kg/m²), using a device with vibration feedback to promote physical activity. Before and after intervention, we objectively examined physical activity (ActivPAL), cytokine production capacity after ex vivo stimulation in peripheral blood mononuclear cells, metabolism of peripheral blood mononuclear cells, circulating cytokine concentrations, and monocyte immunophenotype. Overall, no significant increase in walking time was found (1.9±0.7 to 2.2±1.2 h/day, P=0.07). However, strong, inverse correlations were observed between the change in walking time and the change in production of interleukin (IL)‐1β, IL‐6, IL‐8, and IL‐10 after lipopolysaccharide stimulation (r_s=−0.655, −0.844, −0.672, and −0.781, respectively, all P<0.05). After intervention optimization based on feedback from wave 1, participants in wave 2 (n=8) showed an increase in walking time (2.2±0.8 to 3.0±1.3 h/day, P=0.001) and attenuated cytokine production of IL‐6, IL‐8, and IL‐10 (all P<0.05). Glycolysis (P=0.08) and maximal OXPHOS (P=0.04) of peripheral blood mononuclear cells decreased after intervention. Lower IL‐6 concentrations (P=0.06) and monocyte percentages (P<0.05), but no changes in monocyte subsets were found.

Conclusions

Successfully improving walking time shifts innate immune function towards a less proinflammatory state, characterized by a lower capacity to produce inflammatory cytokines, in individuals with increased cardiovascular risk.

Clinical Trial Registration Information

URL: http://www.trialregister.nl. Unique identifier: NTR6387.

Effectiveness of Interventions and Behaviour Change Techniques for Improving Dietary Intake in Young Adults: A Systematic Review and Meta-Analysis of RCTs

Poor eating habits are common during young adulthood and influence chronic disease morbidity. This systematic review evaluates the effectiveness of interventions aiming to improve dietary intake among young adults and, identifies which behaviour change techniques (BCTs) are most effective. Six electronic databases were searched for RCTs published until October 2018, and evaluating behavioural interventions assessing change in dietary intake in young adults (17–35 years). Of the 18,779 articles identified, 54 were included. Forty studies focused on fruit and/or vegetable intake, of which 63% showed a significant between-group difference in favour of the intervention group. Meta-analysis (n = 17) demonstrated a significant increase in fruit and vegetable intake of +68.6 g/day after three months of intervention and +65.8 g/day for interventions >3 months when compared to control. A meta-analysis (n = 5) on total energy intake found no significant differences between groups. The BCTs with the highest effectiveness ratio were habit formation (100%), salience of consequences (83%) and adding objects to the environment (70%). The review highlights the potential of behavioural interventions to improve young adults’ fruit and vegetable intake but was less convincing for other dietary outcomes. Due to the lack of studies including each BCT, the BCTs imperative to success could not be identified.

Sustaining eHealth engagement in a multi-year weight gain prevention intervention

INTRODUCTION

Digital tools are widely used and effective in weight management interventions; however, usage declines over time. Strategies to promote continued engagement should be explored. We examined the effects of offering additional modes of weight reporting as well as periodic online campaigns to promote engagement, assessed by frequency of weight reporting, in a weight gain prevention study for young adults.

METHODS

Using an observational design, self-reported weights obtained through digital tools were pooled across participants assigned to two interventions (n = 312). Analysis examined the effects before during and after introduction of an additional reporting modality (email) and for three time-limited refresher campaigns over 2 years.

RESULTS

Adding a new modality to the three existing modes (SMS, web, and mobile web) increased weight reporting as well as the number of modalities participants used to report weights. The use of several modes of reporting was associated with more weights submitted (p < 0.01). Refresher campaigns did not increase the proportion of participants reporting; however, the number of weights submitted during the 4-week campaigns increased compared with the 4 weeks before the campaign (p's ≥ 0.45, <0.001, respectively).

CONCLUSION

Using multiple digital modalities and periodic campaigns shows promise for sustaining engagement with weight reporting in a young adult population, and incorporating such strategies may mitigate typical declines in eHealth and mHealth interventions.

Dietary outcomes within the study of novel approaches to weight gain prevention (SNAP) randomized controlled trial

BACKGROUND

Young adults (YA) are at high-risk for unhealthy dietary behaviors and weight gain. The Study of Novel Approaches to Weight Gain Prevention (SNAP) Trial demonstrated that two self-regulation approaches were effective in reducing weight gain over 2 years compared with control. The goal of this analysis was to examine effects of intervention on dietary outcomes and the association of diet changes with weight change.

METHODS

Participants were 599 YA, age 18-35 years, BMI 21.0-30.0 kg/m² (27.4 ± 4.4 years; 25.4 ± 2.6 kg/m²; 22% men; 73% non-Hispanic White), who were recruited in Providence, RI and Chapel Hill, NC and randomized to self-regulation with Small Changes (SC), self-regulation with Large Changes (LC) or Control (C). SC and LC emphasized frequent self-weighing to cue behavior changes (small daily changes vs. periodic large changes) and targeted high-risk dietary behaviors. Diet and weight were assessed at baseline, 4 months and 2 years.

RESULTS

LC and SC had greater decreases in energy intake than C at 4 months but not 2 years. LC had the greatest changes in percent calories from fat at 4 months, but differences were attenuated at 2 years. No differences in diet quality were observed. Across conditions, increased total energy consumption, fast food, meals away from home, and binge drinking, and decreased dietary quality and breakfast consumption were all associated with weight gain at 2 years.

CONCLUSIONS

This study suggests the need to strengthen interventions to produce longer term changes in dietary intake and helps to identify specific behaviors associated with weight gain over time in young adults.

TRIAL REGISTRATION

Clinicaltrials.gov # NCT01183689 , registered August 18, 2010.

The use of social media in nutrition interventions for adolescents and young adults-A systematic review

OBJECTIVE

Social media is a potentially engaging way to support adolescents and young adults in maintaining healthy diets and learning about nutrition. This review identifies interventions that use social media to promote nutrition, examines their content and features, and evaluates the evidence for the use of such platforms among these groups.

MATERIAL AND METHODS

We conducted a systematic search of 5 databases (PubMed, CINAHL, EMBASE, PsycINFO, and ACM Digital Library) for studies that included: 1) adolescents and/or young adults (ages 10-19; ages 18-25); 2) a nutrition education or behavior change intervention component, or outcomes related to nutrition knowledge or dietary changes; and 3) a social media component that allowed users to communicate or share information with peers.

RESULTS

16 articles were identified that included a social media component in a nutrition-related intervention for adolescents or young adults. Interventions included features in 7 categories: social media; communication; tracking health; education; tailoring; social support; and gamification. 11 out of the 16 studies had at least one significant nutrition-related clinical or behavioral outcome.

CONCLUSION

Social media is a promising feature for nutrition interventions for adolescents and young adults. A limited number of studies were identified that included social media. A majority of the identified studies had positive outcomes. We found that most studies utilized only basic social media features, did not evaluate the efficacy of social media components, and did not differentiate between the efficacy of social media compared to other delivery mechanisms.

Effectiveness of lifestyle interventions for preventing harmful weight gain among young adults from lower socioeconomic status and ethnically diverse backgrounds: a systematic review

The incidence of overweight and obesity are increasing with each successive generation of young adults. Associated co-morbidities will emerge at an earlier age unless weight gain is prevented. Evidence has demonstrated young adults (aged 18-35 years) from low socioeconomic and ethnically diverse backgrounds are at greater risk of overweight or obesity, yet it is unclear how to effectively intervene in this population. This systematic review aimed to assess the effectiveness of lifestyle interventions conducted in this population. Thirty studies reporting on lifestyle interventions for prevention of weight gain were identified from eight electronic databases searched. Six interventions included subgroup analyses to determine if ethnicity moderated weight change, and two included subgroup analyses to determine if socioeconomic status had an effect on change in weight. Five of these six studies were effective in preventing weight gain, and subgroup analyses showed no differences in effect by ethnicity. Of these five studies, two included a subgroup analysis that showed socioeconomic status to have no effect on weight outcome. Despite the promising results from these five lifestyle interventions utilizing online and mobile components to effectively reach and prevent weight gain in this priority population, the evidence base of high quality trials is limited.

Effectiveness of interventions for reducing non-occupational sedentary behaviour in adults and older adults: a systematic review and meta-analysis

Background

No systematic reviews of the effectiveness of interventions for reducing non-occupational sedentary behaviour are available. Therefore, the aim of this systematic review was to assess the effectiveness of interventions for reducing non-occupational sedentary behaviour in adults and older adults.

Methods

An electronic search of nine databases was performed. Randomised controlled trials (RCT) and cluster RCTs among adults testing the effectiveness of interventions aimed to reduce non-occupational sedentary behaviour were considered for inclusion. Two review authors independently screened studies for eligibility, completed data extraction and assessed the risk of bias.

Results

Nineteen studies that evaluated multicomponent lifestyle interventions, counselling or education, television (TV) control devices and workplace interventions were included. Evidence from the meta-analyses suggested that interventions can reduce leisure sitting time in adults in the medium term (−30 min/day; 95% CI −58 to –2), and TV viewing in the short term (−61 min/day; 95% CI −79 to –43) and medium term (−11 min/day; 95% CI −20 to –2). No significant pooled effects were found for transport sitting time, leisure-time computer use and longer term outcomes. No evidence was available on the effectiveness of interventions for reducing non-occupational sedentary time in older adults.

Conclusions

The findings of this systematic review suggest the interventions may be effective in reducing non-occupational sedentary behaviour in the short to medium term in adults. However, no significant effect was found on longer term outcomes. The quality of evidence was, however, low to very low. No evidence was available on the effectiveness of non-occupational interventions on reducing sedentary time in older adults. Further high-quality research with larger samples is warranted.

The effect of a weight gain prevention intervention on moderate-vigorous physical activity among black women: the Shape Program

BACKGROUND

Rates of physical inactivity are high among Black women living in the United States with overweight or obesity, especially those living in the rural South. This study was conducted to determine if an efficacious weight gain prevention intervention increased moderate-vigorous physical activity (MVPA).

METHODS

The Shape Program, a weight gain prevention intervention implemented in community health centers in rural North Carolina, was designed for socioeconomically disadvantaged Black women with overweight or obesity. MVPA was measured using accelerometers, and summarized into 1- and 10-min bouts. We employed analyses of covariance (ANCOVA) to assess the relationship between changes in MVPA over 12 months, calculated as a change score, and intervention assignment (intervention versus usual care).

RESULTS

Participants completing both baseline and 12-month accelerometer assessments (n = 121) had a mean age of 36.1 (SD = 5.43) years and a mean body mass index of 30.24 kg/m² (SD = 2.60). At baseline, 38% met the physical activity recommendation (150 min of MVPA/week) when assessed using 10-min bouts, and 76% met the recommendation when assessed using 1-min bouts. There were no significant differences in change in MVPA participation among participants randomized to the intervention from baseline to 12-months using 1-min bouts (adjusted intervention mean [95% CI]: 20.50 [-109.09 to 150.10] vs. adjusted usual care mean [95% CI]: -80.04 [-209.21 to 49.13], P = .29), or 10-min bouts (adjusted intervention mean [95% CI]: 7.39 [-83.57 to 98.35] vs. adjusted usual care mean [95% CI]: -17.26 [-107.93 to 73.40], P = .70).

CONCLUSIONS

Although prior research determined that the Shape intervention promoted weight gain prevention, MVPA did not increase significantly among intervention participants from baseline to 12 months. The classification of bouts had a marked effect on the prevalence estimates of those meeting physical activity recommendations. More research is needed to understand how to promote increased MVPA in weight gain prevention interventions.

TRIAL REGISTRATION

This study is registered at www.clinicaltrials.gov database (No. NCT00938535. Retrospectively Registered 7/10/2009).

Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis

Background

High levels of sedentary behaviour (SB) are associated with negative health consequences. Technology enhanced solutions such as mobile applications, activity monitors, prompting software, texts, emails and websites are being harnessed to reduce SB. The aim of this paper is to evaluate the effectiveness of such technology enhanced interventions aimed at reducing SB in healthy adults and to examine the behaviour change techniques (BCTs) used.

Methods

Five electronic databases were searched to identify randomised-controlled trials (RCTs), published up to June 2016. Interventions using computer, mobile or wearable technologies to facilitate a reduction in SB, using a measure of sedentary time as an outcome, were eligible for inclusion. Risk of bias was assessed using the Cochrane Collaboration’s tool and interventions were coded using the BCT Taxonomy (v1).

Results

Meta-analysis of 15/17 RCTs suggested that computer, mobile and wearable technology tools resulted in a mean reduction of −41.28 min per day (min/day) of sitting time (95% CI -60.99, −21.58, I2 = 77%, n = 1402), in favour of the intervention group at end point follow-up. The pooled effects showed mean reductions at short (≤ 3 months), medium (>3 to 6 months), and long-term follow-up (>6 months) of −42.42 min/day, −37.23 min/day and −1.65 min/day, respectively. Overall, 16/17 studies were deemed as having a high or unclear risk of bias, and 1/17 was judged to be at a low risk of bias. A total of 46 BCTs (14 unique) were coded for the computer, mobile and wearable components of the interventions. The most frequently coded were “prompts and cues”, “self-monitoring of behaviour”, “social support (unspecified)” and “goal setting (behaviour)”.

Conclusion

Interventions using computer, mobile and wearable technologies can be effective in reducing SB. Effectiveness appeared most prominent in the short-term and lessened over time. A range of BCTs have been implemented in these interventions. Future studies need to improve reporting of BCTs within interventions and address the methodological flaws identified within the review through the use of more rigorously controlled study designs with longer-term follow-ups, objective measures of SB and the incorporation of strategies to reduce attrition.

Trial registration

The review protocol was registered with PROSPERO: CRD42016038187

Electronic supplementary material

The online version of this article (doi:10.1186/s12966-017-0561-4) contains supplementary material, which is available to authorized users.

Information and communication technology use by female residents of public housing

BACKGROUND

Evidence suggests that Internet, mobile, or social media based-interventions may promote obesity-lowering behavior change, which has implications for cancer prevention and control interventions. However, the uptake of communication technologies among low socioeconomic status individuals, who need obesity management strategies most, is unclear.

METHODS

Using the baseline data from a cluster-randomized behavioral intervention trial, we examined the cross-sectional associations of frequency of information and communication technologies (ICT) use among female public housing residents, as well as the variation of ICT use across demographic and health-related variables.

RESULTS

ICT use was common among female public housing residents, with mobile use for calls and texts most prevalent (97% and 84%, respectively). Internet, social media, and health information users tended to be younger compared to non-users. Email, Internet, multimodal, and health information users were more likely to be born in the U.S. and be more highly educated than non-users. Social media and health information users were more likely to be Spanish speakers and people of Hispanic ethnicity compared to non-users, although this was not statistically significant. There were few differences according to obesity or physical activity level.

CONCLUSIONS

Our findings of differential socio-demographics between users vs. non-users suggests that future cancer prevention and control interventions among public housing residents should consider selecting ICT that are aligned with the usage patterns of different groups making up the intended audience.