A pilot study using egocentric network analysis to assess holistic health benefits among a sample of university employees involved in a worksite fitness program

UCLMuevete: Increasing the amount of physical activity, work-ability, and cardiorespiratory fitness capacity in university workers through active breaks

BACKGROUND

Active break programs at the workplace are a promising initiative for increasing workers' physical activity (PA) levels, health, work-ability (WA), and social relationship.

OBJECTIVE

To determine the impact of an Active Breaks workplace program based on Bandura's Social Cognitive Theory (SCT) aligned with Behavior Change Techniques (BCT) on PA levels, cardiorespiratory fitness (CRF), WA, and social relationships among university workers.

METHODS

#UCLMuévete is a quasi-experimental, 12-week intervention designed according to the TREND and TIDieR-PHP checklists. Sixty-nine university workers were recruited and placed into 17 teams of 3 to 5 people. Participants were instructed to take a 20-min active break every working day (walking, cycling, and functional training). The following variables were measured before and after the 12-week intervention: (1) Amount of PA with accelerometers, (2) CRF through the 6 Min-Walking Test (m), (3) Body composition (fat mass (gr), muscle mass (gr), and bone mineral content (g/cm3) through densitometry), (4) Stress with the BodyGuard2 device, (5) WA through Work Ability Index (WAI), and (6) Social relationships through an ad-hoc questionnaire. Part-time workers, pregnant women, and workers with physical disability were excluded.

RESULTS

Significant improvements were observed in the amount of daily moderate-to-vigorous PA (Difference (Dif)., women +8.05 and men +12.31 minutes; p < 0.05; ES = 0.224; 0.379), CRF (Dif., women +52.98 and men +25.53 meters; p < 0.05; ES = 0.578; 0.209), and (Dif., women +2.16 and men +2.39; p < 0.05; ES = 0.150; 0.177). No significant changes were observed in body composition and stress.

CONCLUSION

20 min/day of aerobic and strength active breaks, based on SCT aligned to BCTs, improves university workers' amount of PA, CRF, WAI, and social relationships.

Social Influence on Fad Diet Use: A Systematic Literature Review

Background: A fad diet is a broad term used to describe dieting methods that recommend altering the intake of macronutrients to specific proportions or instruct people to intake or avoid particular foods, often with the goal of rapid weight loss. Previous literature reviews report social influence impacts general diet behaviour, but have yet to examine fad diets, specifically. Therefore, the purpose of this systematic review was to synthesize literature related to social influence on an individual's fad diet use and understand the sociocultural factors related to diet use. Methods: Using PRISMA guidelines, Medline, PsycInfo, Embase, CINAHL, and CENTRAL databases were searched to identify articles investigating the impact of social on fad diet use. Covidence was used to manage the review process and Garrard's Matrix Method was used to extract data from reviewed articles (n   =   13). Results: A majority of reviewed studies examined interpersonal influence (62%) and reported social influence impacting a variety of fad diet behaviours (92%). Interpersonal and media influence were highlighted as motivating factors for adopting unhealthy dieting methods (54%), and studies showed interpersonal support impacted adoption and maintenance of fad diet use (23%). Also, social norms were reported to influence unhealthy weight control behaviours (15%). Discussion: This review revealed social influence is associated with the adoption, adherence, and termination of fad diets. The prevalence of fad diets in society and the lack of research on this topic warrants further examination of factors related to fad diets use and the spread among interpersonal networks.

I CrossFit; Do You? Cross-Sectional Peer Similarity of Physical Activity Behavior in a Group High Intensity Functional Training Setting

Physical activity (PA) is essential for physical, mental, and emotional health; however, few adults engage in enough PA. Group exercise environments such as CrossFit can promote sustained exercise habits through social influence, support, and norms. This cross-sectional study aims to provide evidence for PA social influence at CrossFit. CrossFit members (n = 62) reported PA, workout logging frequency, and members at their gym they: (1) work out with and (2) go to with personal matters. Separate linear network autocorrelation models (LNAMs) determined if individuals reported similar PA scores as those of their social ties at CrossFit that they work out with and/or those they go to for personal matters. Participants reported a mean of 2740.55 MET minutes/week (SD = 1847.08), working out with a mean of 9.89 members (SD = 6.26), and speaking to a mean of 2.66 members about personal matters (SD = 3.68). A person's PA was significantly associated with that of their ties they go to with personal matters (PE_p = 0.08, SE_p = 0.02), but was not associated with the PA of their ties they work out with (PE_w = 0.02, SE_w = 0.01). Social influence on PA levels was present when a deeper connection is made between members. Fostering and promoting deeper connections between members may help promote PA and continued exercise habits.

Assessing Social Network Influences on Adult Physical Activity Using Social Network Analysis: A Systematic Review

OBJECTIVE

Social network analysis (SNA) can measure social connectedness and assess impact of interpersonal connections on health behaviors, including physical activity (PA). This paper aims to systematically review adult PA studies using SNA to understand important social network concepts relative to PA.

DATA SOURCE

A search was performed using PsycINFO, MEDLINE, PubMed, and Web of Science.

STUDY INCLUSION AND EXCLUSION CRITERIA

To be included in the search, articles needed to 1) include a measure of PA, 2) conduct an SNA in which specific relationships were measured, and 3) conduct an analysis between social network measures and PA.

DATA EXTRACTION

Key study elements including network design and results were extracted.

DATA SYNTHESIS

Data were synthesized to answer 2 questions: 1) how has adult PA been investigated using SNA approaches and 2) how is an adult's social network associated with PA behaviors?

RESULTS

A final sample of 28 articles remained from an initial 11 085 articles. Network size, homophily, network composition, and network exposure to PA were all associated with individual level PA across studies. Lastly, longitudinal and intervention studies showed a more complex picture of social influence and diffusion of PA behavior.

CONCLUSIONS

Adults' PA behaviors are influenced by their networks. Capitalizing on this influence, researchers should engage not just individual behavior change but also the social influences present within the person's life.