Childhood obesity has become a global pandemic in developed countries, leading to a host of medical conditions that contribute to increased morbidity and premature death. The causes of obesity in childhood and adolescence are complex and multifaceted, presenting researchers and clinicians with myriad challenges in preventing and managing the problem. This article reviews the state of the science for understanding the etiology of childhood obesity, the preventive interventions and treatment options for overweight and obesity, and the medical complications and co-occurring psychological conditions that result from excess adiposity, such as hypertension, nonalcoholic fatty liver disease, and depression. Interventions across the developmental span, varying risk levels, and service contexts (e.g.,community, school, home, health care systems) are reviewed. Future directions for research are offered with an emphasis on translational issues for taking evidence-based interventions to scale in a manner that will reduce the public health burden of the childhood obesity pandemic.

Background: Commercial off-the-shelf activity trackers (eg, Fitbit) allow users to self-monitor their daily physical activity (PA), including the number of steps, type of PA, amount of sleep, and other features. Fitbits have been used as both measurement and intervention tools. However, it is not clear how they are being incorporated into PA intervention studies, and their use in specific age groups across the life course is not well understood. Objective: This narrative review aims to characterize how PA intervention studies across the life course use Fitbit devices by synthesizing and summarizing information on device selection, intended use (intervention vs measurement tool), participant wear instructions, rates of adherence to device wear, strategies used to boost adherence, and the complementary use of other PA measures. This review provides intervention scientists with a synthesis of information that may inform future trials involving Fitbit devices. Methods: We conducted a search of the Fitabase Fitbit Research Library, a database of studies published between 2012 and 2018. Of the 682 studies available on the Fitabase research library, 60 interventions met the eligibility criteria and were included in this review. A supplemental search in PubMed resulted in the inclusion of 15 additional articles published between 2019 and 2020. A total of 75 articles were reviewed, which represented interventions conducted in childhood; adolescence; and early, middle, and older adulthood. Results: There was considerable heterogeneity in the use of Fitbit within and between developmental stages. Interventions for adults typically required longer wear periods, whereas studies on children and adolescents tended to have more limited device wear periods. Most studies used developmentally appropriate behavior change techniques and device wear instructions. Regardless of the developmental stage and intended Fitbit use (ie, measurement vs intervention tool), the most common strategies used to enhance wear time included sending participants reminders through texts or emails and asking participants to log their steps or synchronize their Fitbit data daily. The rates of adherence to the wear time criteria were reported using varying metrics. Most studies supplemented the use of Fitbit with additional objective or self-reported measures for PA. Conclusions: Overall, the heterogeneity in Fitbit use across PA intervention studies reflects its relative novelty in the field of research. As the use of monitoring devices continues to expand in PA research, the lack of uniformity in study protocols and metrics of reported measures represents a major issue for comparability purposes. There is a need for increased transparency in the prospective registration of PA intervention studies. Researchers need to provide a clear rationale for the use of several PA measures and specify the source of their main PA outcome and how additional measures will be used in the context of Fitbit-based interventions.

This study examined participant attendance patterns and individual (e.g., income), family dynamics (e.g., communication), and cultural (i.e., Americanism, Hispanicism) predictors of these patterns among Hispanic families enrolled in a 12-week family-based intervention, Familias Unidas for Health and Wellness. Hispanic adolescents (n = 140, 49% female, 13.04 ± 0.87 years old, 36% overweight, 64% obese, 39% immigrants) and their parents (87% female, 42.09 ± 6.30 years old, BMI 30.99 ± 6.14 kg/m², 90% immigrants) were randomized to the intervention condition. A repeated measures latent class analysis that included 12 binary variables (yes/no) of attendance identified three subgroups of attendance patterns: consistently high, moderate and decreasing, and consistently low. An ANOVA was then conducted to examine whether the identified attendance patterns differed by individual, family dynamics, and cultural characteristics at baseline. Parents in the consistently high attendance group had lower Americanism than those in either of the other attendance groups. Adolescents in the consistently high attendance group had lower Hispanicism than those in either of the other attendance groups. No other variables significantly discriminated between attendance groups. Sustained attendance in the Familias Unidas for Health and Wellness intervention may be driven by Hispanic parents’ desire to better understand their host culture, connect with other culturally similar parents, and reconnect adolescents with their heritage culture.

Background: Previous literature has shown a negative relationship between parental stress and youth moderate to vigorous physical activity (MVPA). This study examined (1) the relationship between parental stress and adolescent MVPA, (2) the moderating role of family communication on this relationship, and (3) gender differences in these effects among overweight and obese Hispanic adolescents. Methods: Hispanic adolescents (N = 280, 52% female, 13.0 [0.8] y old, 44% obese, 12% severely obese) and their parents (88% female, 44.9 [6.5] y old) completed baseline measures for an efficacy trial. Adolescents self-reported MVPA in minutes per week for work, transportation, and recreation using a validated measure. Multiple regression analyses with interaction terms and multigroup methods were conducted. Results: There was a negative effect of parental stress on adolescent MVPA (β = −0.15, t = −2.018, P ≤ .05). This effect was moderated by family communication (β = 0.20, t = 2.471, P = .01), such that the association between parental stress and youth MVPA was stronger for adolescents with low levels of family communication. Furthermore, a multiple group model showed that the interaction was significant for boys (β = 0.27, t = 2.185, P = .03), but not for girls. Conclusions: Findings provide support that addressing parental stress and family communication may help facilitate MVPA among Hispanic boys, the most at-risk group for pediatric obesity.

Physical inactivity is a major public health issue among older adults and children. This study presents preliminary results that will inform the development of a technology-based physical activity intervention for grandparents and grandchildren (ages 6–12 years old). The authors used an iterative user-centered design framework to gather quantitative data from grandparents (n = 35) and subsequently invited a subset of 12 of them to engage in qualitative interviews. Participants were 63.1 ± 9.8 years old, 80% female, 64% U.S.-born, 43% Hispanic, 66% single, and 40% <$15K income. The majority of grandparents reported mobile device proficiency, very close relationships with their grandchildren, and interest in participating in an intergenerational intervention. Four key themes related to family closeness, dynamics, routines, and technology informed intervention development. Next steps involved a pilot trial using Fitbits and a fully functioning technology-based prototype. Grandparents are uniquely positioned within their families to serve as agents of change in health-promoting interventions.