Effect of a Culturally Adapted Behavioral Intervention for Latino Adults on Weight Loss Over 2 Years

Abstract

Key Points Question Is a culturally adapted behavioral lifestyle intervention using technology more effective than usual care for weight loss among Latino adults in primary care? Findings In this randomized clinical trial of 191 Latino patients in primary care, a culturally adapted behavioral lifestyle intervention using technology, including web-based self-monitoring and a wearable activity monitor, was more effective for weight loss over 12 months but not 24 months. Meaning These findings suggest that the culturally adapted behavioral intervention using technology was not effective for long-term weight loss over 24 months, so research to optimize intervention effectiveness over 24 months is needed.

Mobile health assisted self-monitoring is acceptable for supporting weight loss in rural men: a pragmatic randomized controlled feasibility trial

“…Acceptability survey and focus group feedback also confirmed our observations. Our findings are consistent with previous studies, including those tailored to minority populations [ 26 ], who found tailored interventions utilizing self-monitoring app components led to higher rates of self-monitoring engagement [ 54 , 55 ].…”

“…There is evidence to support that tailored [ 26 ], app-based technologies support improvement in behavior performance, adherence, and motivation [ 27 ]. A gap remains in understanding what specific tailored supports are required to enhance user engagement with and the effectiveness of app-based weight loss technologies among rural men [ 28 ].…”

Sustainability of Weight Loss Through Smartphone Apps: Systematic Review and Meta-analysis on Anthropometric, Metabolic, and Dietary Outcomes

“…A total of 69% (11/16) of articles reported data that reflected the sample's socioeconomic status, and 81% (13/16) of articles reported data on the sample's education level. More details on the study characteristics are shown in Table 1, and additional information on socioeconomic status, education level, presence of group differences between participants retained and dropped out, protocol registration, and funding is shown in Multimedia Appendix 3 [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Most included studies (12/16, 75%) covered app-based interventions that were beyond purely food logging, such as real-time self-monitoring of diet and exercise, regular messages tailored according to user progress, timely feedback, smart devices that synchronized activity and weight data to smartphones, personalized progress reports, libraries of diet and physical activity ideas, and remote progress monitoring.…”

“…The intervention duration ranged from 12 weeks to 24 months and the follow-up time points ranged from 8 weeks to 24 months. The intervention characteristics for each article are detailed in Multimedia Appendix 4 [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Most articles (10/16, 62%) were rated as having an unclear ROB, and 38% (6/16) of articles were rated as having a high ROB (Multimedia Appendix 5 [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]).…”

“…The intervention characteristics for each article are detailed in Multimedia Appendix 4 [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Most articles (10/16, 62%) were rated as having an unclear ROB, and 38% (6/16) of articles were rated as having a high ROB (Multimedia Appendix 5 [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]). Moreover, 38% (6/16) of articles were rated as having a high ROB for performance bias because of the difficulties in blinding both the interventionists and participants, which is common in such behavior-change studies (Multimedia Appendix 5 [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]…”