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BackgroundPhysical activity (PA) level is associated with multiple health benefits during early childhood. However, inconsistency in the methods for quantification of PA levels among preschoolers remains a problem. ObjectiveThis study aimed to develop PA intensity cut points for wrist-worn accelerometers by using machine learning (ML) approaches to assess PA in preschoolers. MethodsWrist- and hip-derived acceleration data were collected simultaneously from 34 preschoolers on 3 consecutive preschool days. Two supervised ML models, receiver operating characteristic curve (ROC) and ordinal logistic regression (OLR), and one unsupervised ML model, k-means cluster analysis, were applied to establish wrist-worn accelerometer vector magnitude (VM) cut points to classify accelerometer counts into sedentary behavior, light PA (LPA), moderate PA (MPA), and vigorous PA (VPA). Physical activity intensity levels identified by hip-worn accelerometer VM cut points were used as reference to train the supervised ML models. Vector magnitude counts were classified by intensity based on three newly established wrist methods and the hip reference to examine classification accuracy. Daily estimates of PA were compared to the hip-reference criterion. ResultsIn total, 3600 epochs with matched hip- and wrist-worn accelerometer VM counts were analyzed. All ML approaches performed differently on developing PA intensity cut points for wrist-worn accelerometers. Among the three ML models, k-means cluster analysis derived the following cut points: ≤2556 counts per minute (cpm) for sedentary behavior, 2557-7064 cpm for LPA, 7065-14532 cpm for MPA, and ≥14533 cpm for VPA; in addition, k-means cluster analysis had the highest classification accuracy, with more than 70% of the total epochs being classified into the correct PA categories, as examined by the hip reference. Additionally, k-means cut points exhibited the most accurate estimates on sedentary behavior, LPA, and VPA as the hip reference. None of the three wrist methods were able to accurately assess MPA. ConclusionsThis study demonstrates the potential of ML approaches in establishing cut points for wrist-worn accelerometers to assess PA in preschoolers. However, the findings from this study warrant additional validation studies.

Rural residents face numerous challenges in accessing quality health care for management of chronic diseases (eg, obesity, diabetes), including scarcity of health care services and insufficient public transport. Digital health interventions, which include modalities such as internet, smartphones, and monitoring sensors, may help increase rural residents’ access to health care. While digital health interventions have become an increasingly popular intervention strategy to address obesity, research examining the use of technological tools for obesity management among rural Latino populations is limited. In this paper, we share our experience developing a culturally tailored, interactive health intervention using digital technologies for a family-oriented, weight management program in a rural, primarily Latino community. We describe the formative research that guided the development of the intervention, discuss the process of developing the intervention technologies including issues of privacy and data security, examine the results of a pilot study, and share lessons learned. Our experience can help others design user-centered digital health interventions to engage underserved populations in the uptake of healthy lifestyle and disease management skills.

BackgroundAccess to diabetes education and resources for diabetes self-management is limited in rural communities, despite higher rates of diabetes in rural populations compared with urban populations. Technology and mobile health (mHealth) interventions can reduce barriers and improve access to diabetes education in rural communities. Screening, Brief Intervention, and Referral to Treatment (SBIRT) and financial incentives can be used with mHealth interventions to increase the uptake of diabetes education; however, studies have not examined their combined use for diabetes self-management in rural settings. ObjectiveThis two-phase Stage 1 feasibility study aimed to use a mixed methods design to examine the feasibility and acceptability of an mHealth diabetes education program combining SBIRT and financial incentives to engage rural individuals. MethodsIn Phase 1, we aimed to develop, adapt, and refine the intervention protocol. In Phase 2, a 3-month quasi-experimental study was conducted with individuals from 2 rural communities in South Texas. Study participants were individuals who attended free diabetes screening events in their community. Those with low or medium risk received health education material, whereas those with high risk or those with a previous diagnosis of diabetes participated in motivational interviewing and enrolled in the 6-week mHealth Diabetes Self-Management Education Program under either an unconditional or aversion incentive contract. The participants returned for a 3-month follow-up. Feasibility and acceptability of the intervention were determined by the rate of participant recruitment and retention, the fidelity of program delivery and compliance, and the participant’s satisfaction with the intervention program. ResultsOf the 98 screened rural community members in South Texas, 72 individuals met the study eligibility and 62 individuals agreed to enroll in the study. The sample was predominately female and Hispanic, with an average age of 52.6 years. The feedback from study participants indicated high levels of satisfaction with the mHealth diabetes education program. In the poststudy survey, the participants reported high levels of confidence to continue lifestyle modifications, that is, weight loss, physical activity, and diet. The retention rate was 50% at the 3-month follow-up. Participation in the intervention was high at the beginning and dissipated in the later weeks regardless of the incentive contract type. Positive changes were observed in weight (mean -2.64, SD 6.01; P

Introduction: Prior to 1980, U.S. national demographic and health data collection did not identify individuals of Hispanic/Latina/o heritage as a population group. Post-1990, robust immigration from Latin America (e.g., South America, Central America, Mexico) and subsequent growth in U.S. births, dynamically reconstructed the ethnoracial lines among Latinos from about 20 countries, increasing racial admixture and modifying patterns of health disparities. The increasing racial and class heterogeneity of U.S. Latina/os demands a critical analysis of sociodemographic factors associated with population health disparities. Purposes: To determine the state of available Latina/o population demographic and health data in the United States, assess demographic and health variables and trends from 1960 to the present, and identify current strengths, gaps, and areas of improvement. Method: Analysis of 101 existing data sets that included demographic, socioeconomic, and health characteristics of the U.S. Latina/o population, grouped by three, 20-year intervals--1960-1979, 1980-1999, and 2000-2019. Results: Increased Latina/o immigration and U.S. births between 1960 and 2019 was associated with increases of Latino population samples in data collection. Findings indicate major gaps in the following four areas: children and youth younger than 18 years, gender and sexual identity, race and mixed-race measures, and immigration factors including nativity and generational status. Conclusions: The analysis of existing ethnoracial Latina/o population data collection efforts provides an opportunity for critical analysis of past trends, future directions in data collection efforts, and an equity lens to guide appropriate community health interventions and policies that will contribute to decreasing health disparities in Latina/o populations.

Prior studies investigating the association between acculturation and adolescent adjustment have often focused on specific acculturation domains rather than examining these domains collectively in a profile typology. Here, we investigate stability and change patterns in Mexican American adolescent acculturation profiles over time, using a two-wave longitudinal dataset spanning 5 years. Using latent profile analysis, three adolescent acculturation profiles were identified at Waves 1 and 2: "integrated"; "moderately integrated"; and "moderately assimilated." Using latent transition analysis, four acculturation transition profiles were identified across time: "stable integrated"; "stable moderately integrated"; "progressive"; and "regressive." Over half of all adolescents were identified as belonging to the "stable integrated" and "stable moderately integrated" transition profiles. Adolescents classified in the "stable integrated" profile reported the highest levels of adjustment (academic competence and socioemotional well-being) relative to those with other transition profiles. Findings from this study contribute to a comprehensive understanding of the dynamic process of acculturation among Mexican American adolescents, and provide useful insights to inform interventions and policies aimed at improving Mexican-origin adolescents' adaption to US culture while maintaining their heritage Mexican culture.

Colorectal cancer (CRC) is the second leading cause of cancer death among Latino men in the United States, yet they have low screening rates. This study explored barriers and facilitators of colonoscopy screening among Latino participants in a CRC screening promotion program. Six focus groups were conducted, in Spanish, with 45 Latino men, of which 28 had received and 17 had not received a colonoscopy. Analysis of the discussion transcripts identified barriers to CRC screening, facilitators to CRC screening, and recommendations for health information dissemination. There was consensus among all participants that they had not received adequate information on colonoscopy screening from their health care providers. Unscreened participants wanted more details about the colonoscopy procedure and bowel preparation. Screened men were more knowledgeable than unscreened men about CRC, the colonoscopy procedure, and the benefits of early detection. Participants also expressed their fears, concerns, and perceptions of stigma in relation to colonoscopy screening. They described family and personal testimonials as facilitators to engaging in colorectal cancer screening. Findings underscore the need for ongoing research and educational efforts to address personal and cultural stigma surrounding colonoscopy and CRC, particularly in underserved communities. Study findings also highlight the danger of missing out on opportunities to increase CRC screening when colonoscopy is the primary screening option offered. Additional research is needed to ensure trust in the health care system and to examine the effectiveness of testimonials on CRC screening among Latino men. [ABSTRACT FROM AUTHOR]

Objective: Test a culturally tailored obesity prevention intervention in low-income, minority preschool-age children.Design: A three-group clustered randomized controlled trial.Setting: Twelve Head Start Centers were randomly assigned to a center-based intervention, a combined center- and home-based intervention, or control using a 1:1:1 ratio. The center-based intervention modified center physical activity and nutrition policies, staff practices, and child behaviors, while the home-based intervention supported parents for obesity prevention at home.Study Outcomes: The primary endpoint was change in children's body mass index (BMI; kg/m2) at posttest immediately following completion of the 8-month intervention. Secondary endpoints included standardized scores for BMI (BMIz) and body weight (WAZ), and BMI percentiles (BMI pctl).Participants: Three-year-old children enrolled in Head Start in San Antonio, Texas, with written parent consent (N=325), 87% Latino; 57% female with mean age (SD) of 3.58 years (0.29).Results: Change in BMI at posttest was 1.28 (0.97), 1.28 (0.87), and 1.41 (0.71) in the center+home-based intervention, center-based intervention, and control, respectively. There was no significant difference in BMI change between center+home-based intervention and control or center-based intervention and control at posttest. BMIz (adjusted difference -0.12 [95% CI, -0.24 to 0.01], p = .06) and WAZ (adjusted difference, -0.09 [-0.17 to -0.002], p = .04) were reduced for children in center+home-based intervention compared to control group.Conclusions: There was no reduction in BMI at posttest in children who received the intervention. Findings shed light on methodological challenges in childhood obesity research and offer future directions to explore health equity-oriented obesity prevention. [ABSTRACT FROM AUTHOR]

Assessed the prevalence of dieting, investigating clusters of risk behaviors among adolescents. Data from the 1999 South Carolina Youth Risk Behavior Survey indicated that weight control behaviors related to several other important health behaviors. Differences existed between adolescents who used extreme weight loss measures and moderate dieters or non-dieters. Extreme dieters were more likely to use substances and to attempt suicide and less likely to practice vigorous exercise. (SM)