Happy Family, Healthy Kids: A Healthy Eating and Stress Management Program in Low-Income Parent–Preschooler Dyads

Background Substantial effort has been invested to combat childhood obesity, but overall effects are disappointing, especially in low-income racial minority children. One possible reason is a lack of focus on the important stress–eating connection. Stress can negatively influence eating behaviors, leading to an increased appetite for high-fat and energy-dense foods. Objective This study aimed to evaluate the preliminary effects of a healthy eating and stress management program targeting multiple theoretical variables on improving eating behavior (dyads’ fruit/vegetable intake, emotional eating), food insecurity, anthropometric characteristics (dyads’ body mass index, % body fat), cardiovascular health (dyads’ blood pressure), and mental well-being (parental stress). Methods A one-group, quasi-experimental pilot study was conducted among 107 low-income parent–preschooler dyads. The 14-week program included a parent component, a parent–preschooler learning component, and a day care-based preschooler component. Results The program had positive effects on improving dyads’ fruit/vegetable intake, food insecurity, body mass index, and blood pressure and parents’ nutrition knowledge, self-efficacy, support, food resource management behavior, problem-focused coping, and home eating environment. The overall satisfaction rate was 95.2%, and 88.1% stated that the program assisted their families with having a healthy lifestyle. Discussion Results support the preliminary effects of the program on improving health outcomes in rural and urban low-income families. Although warranting further investigation with a more rigorous randomized controlled trial, the healthy eating and stress management program provides a potential solution to the current coexistence of an obesity epidemic and mental health crisis.

Interindividual Variability in Self-Monitoring of Blood Pressure Using Consumer-Purchased Wireless Devices

Background Engagement with self-monitoring of blood pressure (BP) declines, on average, over time but may vary substantially by individual. Objectives We aimed to describe different 1-year patterns (groups) of self-monitoring of BP behaviors, identify predictors of those groups, and examine the association of self-monitoring of BP groups with BP levels over time. Methods We analyzed device-recorded BP measurements collected by the Health eHeart Study—an ongoing prospective eCohort study—from participants with a wireless consumer-purchased device that transmitted date- and time-stamped BP data to the study through a full 12 months of observation starting from the first day they used the device. Participants received no instruction on device use. We applied clustering analysis to identify 1-year self-monitoring, of BP patterns. Results Participants had a mean age of 52 years and were male and White. Using clustering algorithms, we found that a model with three groups fit the data well: persistent daily use (9.1% of participants), persistent weekly use (21.2%), and sporadic use only (69.7%). Persistent daily use was more common among older participants who had higher Week 1 self-monitoring of BP frequency and was associated with lower BP levels than the persistent weekly use or sporadic use groups throughout the year. Conclusion We identified three distinct self-monitoring of BP groups, with nearly 10% sustaining a daily use pattern associated with lower BP levels.