1
|
Pagoto S, Lueders N, Palmer L, Idiong C, Bannor R, Xu R, Ingels S. Best Practices for Designing and Testing Behavioral and Health Communication Interventions for Delivery in Private Facebook Groups: Tutorial. JMIR Form Res 2024; 8:e58627. [PMID: 39231426 PMCID: PMC11411228 DOI: 10.2196/58627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 06/14/2024] [Accepted: 06/19/2024] [Indexed: 09/06/2024] Open
Abstract
Facebook, the most popular social media platform in the United States, is used by 239 million US adults, which represents 71% of the population. Not only do most US adults use Facebook but they also spend an average of 40 minutes per day on the platform. Due to Facebook's reach and ease of use, it is increasingly being used as a modality for delivering behavioral and health communication interventions. Typically, a Facebook-delivered intervention involves creating a private group to deliver intervention content for participants to engage with asynchronously. In many interventions, a counselor is present to facilitate discussions and provide feedback and support. Studies of Facebook-delivered interventions have been conducted on a variety of topics, and they vary widely in terms of the intervention content used in the group, use of human counselors, group size, engagement, and other characteristics. In addition, results vary widely and may depend on how well the intervention was executed and the degree to which it elicited engagement among participants. Best practices for designing and delivering behavioral intervention content for asynchronous delivery in Facebook groups are lacking, as are best practices for engaging participants via this modality. In this tutorial, we propose best practices for the use of private Facebook groups for delivery and testing the efficacy of behavioral or health communication interventions, including converting traditional intervention content into Facebook posts; creating protocols for onboarding, counseling, engagement, and data management; designing and branding intervention content; and using engagement data to optimize engagement and outcomes.
Collapse
Affiliation(s)
- Sherry Pagoto
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, United States
| | | | - Lindsay Palmer
- University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Christie Idiong
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, United States
| | - Richard Bannor
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, United States
| | - Ran Xu
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, United States
| | | |
Collapse
|
2
|
Liu Y, Zhou X, Ding N, Song S, Gittelsohn J, Jiang N, Sundermeir SM, Ma Y, Wen D. Obesity contagion among classmates: Children's relation with each other regarding weight status, physical activity, and dietary intake. SSM Popul Health 2024; 26:101636. [PMID: 38516526 PMCID: PMC10955631 DOI: 10.1016/j.ssmph.2024.101636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/07/2024] [Accepted: 02/16/2024] [Indexed: 03/23/2024] Open
Abstract
A series of influential articles suggests that obesity may spread between couples, siblings, and close friends via an obesity contagion phenomenon. Classmates, as important structural equivalents in one's social network, may experience obesity contagion. However, this has rarely been examined. Anthropometric measurements, questionnaire surveys, and geographic information were collected from 3670 children from 26 schools in Northeast China. We found that classmates were positively related in terms of body mass index (BMI), body fat, physical activity, and intake of vegetables, fruits, fast food, snacks, and sugar-sweetened beverages. One standard deviation (SD) increase in classmates' mean BMI and percentage body fat was associated with 0.19 SD higher individual BMI (95% confidence interval [CI]: 0.00, 0.39) and 0.31 SD higher percentage body fat (95% CI: 0.13, 0.48). Coefficients ranged from 0.48 to 0.76 in models for physical activity, and the dietary intake of vegetables, fruit, fast food, snacks, and sugar-sweetened beverages. Children's BMI and body fat were more strongly associated with the maximum and minimum body fat levels of their same-sex classmates than with those of their general classmates. Their dietary intake and physical activity were more strongly associated with the mean/median levels of their general classmates than with those of their same-sex classmates. This study suggests that children's BMI, body fat, physical activity, and dietary intake may be related to those of their classmates. Modeling healthy behaviors in the classroom may help children develop habits that support achieving and maintaining a healthy weight. Future interventions should consider the inclusion of classmates as a social network strategy for obesity prevention.
Collapse
Affiliation(s)
- Yang Liu
- China Medical University, Health Sciences Institute, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Xiaobei Zhou
- China Medical University, Health Sciences Institute, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Ning Ding
- China Medical University, Institute of International Medical Education, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Shenzhi Song
- China Medical University, Health Sciences Institute, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Joel Gittelsohn
- Johns Hopkins Bloomberg School of Public Health, Department of International Health, Human Nutrition Center, Address: 615 North Wolfe St, Baltimore, MD, 21205-2179, USA
| | - Nan Jiang
- China Medical University, Institute of International Medical Education, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Samantha M. Sundermeir
- Johns Hopkins Bloomberg School of Public Health, Department of International Health, Human Nutrition Center, Address: 615 North Wolfe St, Baltimore, MD, 21205-2179, USA
| | - Yanan Ma
- China Medical University, School of Public Health, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Deliang Wen
- China Medical University, Health Sciences Institute, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| |
Collapse
|
3
|
Palomo-Llinares R, Sánchez-Tormo J, Wanden-Berghe C, Sanz-Valero J. Occupational Health Applied Infodemiological Studies of Nutritional Diseases and Disorders: Scoping Review with Meta-Analysis. Nutrients 2023; 15:3575. [PMID: 37630765 PMCID: PMC10457772 DOI: 10.3390/nu15163575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/09/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023] Open
Abstract
(1) Objective: to identify and review existing infodemiological studies on nutritional disorders applied to occupational health and to analyse the effect of the intervention on body mass index (BMI) or alternatively body weight (BW); (2) Methods: This study involved a critical analysis of articles retrieved from MEDLINE (via PubMed), Embase, Cochrane Library, PsycINFO, Scopus, Web of Science, Latin American, and Caribbean Health Sciences Literature (LILACS) and Medicina en Español (MEDES) using the descriptors "Nutrition Disorders, "Occupational Health" and "Infodemiology", applying the filters "Humans" and "Adult: 19+ years". The search was conducted on 29 May 2021; (3) Results: a total of 357 references were identified from the bibliographic database searches; after applying the inclusion and exclusion criteria, a total of 11 valid studies were obtained for the review. Interventions could be categorised into (1) interventions related to lifestyle, physical activity, and dietary changes through education programmes, (2) interventions associated with lifestyle, physical activity, and dietary changes through the use of telemonitoring systems or self-help applications, (3) interventions tied to lifestyle, physical activity, and dietary changes through control and/or social network support groups, and (4) interventions linked to changes in the work environment, including behavioural change training and work environment training tasks. The meta-analysis demonstrated that the heterogeneity present when analysing the results for BMI was 72% (p < 0.01), which decreased to 0% (p = 0.57) when analysing the outcomes for weight, in which case the null hypothesis of homogeneity could be accepted. In all instances, the final summary of the effect was on the decreasing side for both BMI and BW; (4) Conclusions: Despite the high heterogeneity of the results reported, the trend shown in all cases indicates that the intervention methodologies implemented by empowering individuals through Web 2.0 technologies are positive in terms of the problem of overweight. Further implementation of novel strategies to support individuals is needed to overcome obesity, and, at least in the early studies, these strategies seem to be making the necessary change.
Collapse
Affiliation(s)
- Ruben Palomo-Llinares
- Department of Public Health and History of Science, School of Medicine, Miguel Hernandez University, 03550 Sant Joan d’Alacant, Spain;
| | - Julia Sánchez-Tormo
- Health and Biomedical Research Institute of Alicante (ISABIAL), Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), 30010 Alicante, Spain; (J.S.-T.); (C.W.-B.)
| | - Carmina Wanden-Berghe
- Health and Biomedical Research Institute of Alicante (ISABIAL), Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), 30010 Alicante, Spain; (J.S.-T.); (C.W.-B.)
| | - Javier Sanz-Valero
- Department of Public Health and History of Science, School of Medicine, Miguel Hernandez University, 03550 Sant Joan d’Alacant, Spain;
- National School of Occupational Medicine, Carlos III Health Institute, 28029 Madrid, Spain
| |
Collapse
|