Recently, there has been a notable rise in binge drinking and in the popularity of eating broadcasts via TV and online platforms, especially in Korea. This study analyzed the moderating effect of the eating broadcast viewing experience on the relationship between binge drinking and obesity-related eating behaviors. Cross-sectional self-reported online survey data were collected from 1125 Korean adults. Moderation models for restrained, emotional, and external eating behaviors were tested using moderation analyses with Hayes’s PROCESS version 3.5 compatible with SPSS. As a result, the eating broadcast viewing experience moderated the relationship between binge drinking frequency and external eating (F_change = 2.686, p = 0.045). More frequent binge drinking was associated with a higher level of external eating in participants who only watched online eating broadcasts, especially among women. Participants in their twenties showed the same above association; additionally, those who only watched TV eating broadcasts showed an inverse association, indicating that more frequent binge drinking was associated with a lower level of external eating. Consequently, an eating broadcast viewing experience was one of the environmental factors associated with binge drinking that influences obesity-related eating behaviors.

Kim Y, et al. Nutr Res Pract. 2023 Aug;17(4):717-734. https://doi.org/10.4162/nrp.2023.17.4.717

Objectives: This study aimed to develop core contents and strategies for digital healthcare services across the life span. Methods: Documents on government and public health organizations in Korea, England, and United States were reviewed to determine life stages. Secondary data analysis was conducted to identify major health problems, and these were prioritized depending on the size and seriousness of the problems. A survey was conducted to identify the needs for digital healthcare service. Results: This study identified life stages as pregnancy, infancy and early years, childhood and adolescence, early adulthood, middle age and older adulthood. Obesity, stress, and depression were prioritized health problems across the life span. The need for app-based digital healthcare was based on self-efficacy, attitudes. digital health literacy and skills. Health problems could be prevented with managed healthcare services with behavior change techniques (BCTs). The phases of intervention included collecting data, clustering clients, curating services, and monitoring and evaluation. Lifestyle score, ecological momentary assessment (EMA), chatbot service and gamification were recommended to increase effectiveness and efficiency of the intervention. Conclusion: Digital healthcare services should be developed through collaboration with offline health promotion services and prospective studies to produce evidence for effectiveness and efficiency.

Background: Achieving universal health coverage for maternal health (MH) requires a health system that ensures the availability, accessibility, acceptability, and effective use of services. The study aimed to identify bottlenecks that hinder project outcomes of MH in the rural districts of Tanzania. Methods: This study employed a convergent mixed-method approach to conduct the bottleneck analysis. Quantitative data were collected to identify indicators of MH utilization, with source including Tanzanian health statistics, health facilities and the women in reproductive age (WRA) survey. In-depth interviews and focus group discussions were conducted with WRA, their families, community health workers, and healthcare personnel to gain insight into factors influencing healthcare utilization from both a demand and an environmental perspective. Following the Tanahashi steps, the quantitative data were analyzed using descriptive statistics and the qualitative data were analyzed using a thematic approach. The findings from both were integrated to identify bottlenecks toward effective coverage and how bottlenecks affected the utilization of MH services. Results: Community awareness and acceptance were observed to be high, however only a limited number of individuals had received MH services. Utilization rates for antenatal and postnatal care were 17.4% and 22.0% respectively. This suggests that efforts to enhance awareness may be inadequate to change social norms and lead to health behaviors. Furthermore, even when women utilize the service, they may not do so in a timely or consistent manner due to low service quality or unsatisfactory experiences. Conclusion: To strengthen the logic model, contextual factors such as provider attitudes, service quality, supportive family and community climate need to be considered to ensure that WRAs are satisfied with and continue to access services. With building supply-side infrastructure, ongoing efforts to change stakeholders’ perceptions of MH services and utilization patterns will be needed to improve the coverage of MH services.

Objectives: This study aims to assess the effectiveness of mHealth interventions to increase physical activity for the elderly. Methods: A database search was conducted using Cochrane CENTRAL, Medline/PubMed, EMbase, KoreaMed, KMbase, and KISTI (ScienceON), yielding 21 eligible studies. A random-effects model was used to calculate effect sizes by weighted standardized mean differences. Results: This meta-analysis included 21 studies and 1,814 participants. These studies included the following outcome variables: Steps, 6-min walk distance(6MWD), physical activity(PA) that was significantly increased and body mass index(BMI) that was significantly decreased(Steps: g=0.856, p.005; 6MWD: g=0.630, p.05; PA: g=0.177, p.05; BMI: g=-0.351, p.05). Conclusion: For more effective digital health interventions, research on more effective intervention composition-tailored strategies will need to be actively conducted. To continue to develop, new types of health promotional interventions need to be conducted continuously by health experts and economic evaluation.

Objectives: This study aimed to develop and pilot a mobile health application, ‘NICE Health Ten’, for a tailored health behavior intervention based on intervention mapping approach and transtheoretical model to prevent metabolic syndrome for Korean adults. Methods: We applied intervention mapping approach to design development of a mobile health application. Also, transtheoretical model"s concepts such as stages of change, decisional balance, and self-efficacy were applied to develop contents of mobile health application. Pilot preintervention-postintervention analysis was conducted and total 68 subjects were recruited and used ‘NICE Health Ten’ once a week for 8 weeks. Results: Health status and recommendations were provided for each physiological and behavioral factor associated with metabolic syndrome by developed ‘NICE Health Ten’. According to the pilot testing, the significant changes of knowledge, decisional balance, self-efficacy, and stages of change distribution related to healthy physical activity, healthy diet, and moderate drinking were in 20s adults who used ‘NICE Health Ten’ except for decisional balance of moderate drinking. Conclusions: Metabolic syndrome can be prevented by implementing mobile health application intervention for health behavioral change. Also, Intervention Mapping is effective to design an intervention for metabolic syndrome.