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BackgroundEffective prevention at a young enough age is critical to halt the obesity epidemic. Mobile health (mHealth) apps would potentially reach large numbers at low-cost. While there is already a profusion of lifestyle apps, they are mostly non-evidence-based and evidently ineffective against rising obesity prevalence. ObjectiveThe aim of this study was to explore preferences and usage of lifestyle apps among young people in 6 countries. MethodsA mixed methods study was conducted among young people aged 13 to 24 years residing in the United Kingdom, Belgium, Finland, Greece, Singapore, and New Zealand. Participants were recruited from Web advertisements on Facebook, asking for volunteers interested in mobile apps in general, not specific to lifestyle or health, to complete a short survey comprising 18 questions on demographics, weight gain, and mobile app preferences and then to join English-language online focus groups, which were held during 2017, in password-protected Web rooms, moderated by an experienced researcher. Descriptive statistics were carried out for the survey, and thematic analysis was applied to transcripts. ResultsA total of 2285 young people (610 adolescents aged 13-17 years and 1675 young adults aged 18-24 years) responded and completed the survey, with 72.0% (1645) reported being concerned about weight gain for themselves or friends. Later, 807 young people (376 adolescents and 431 young adults) were selected based on age and country to participate in 12 online focus groups, with 719 young people completing. Analysis revealed 4 main themes: (1) feelings toward personal weight; (2) perception of lifestyle apps and desired content for weight gain prevention; (3) social media apps, lifestyle apps, and motivation for downloading and retaining; and (4) data safety and data usage and confidentiality. Young people are interested in evidence-based advice in programs incorporating their preferences. ConclusionsYoung people are commonly, and consistently across 6 countries, concerned about weight gain and obesity and would welcome evidence-based mHealth programs, provided the views of young people themselves are incorporated in the program content.

Objective: Singapore, an urbanised, developed nation, with a high reliance on food importation and a high prevalence of eating out is facing rising rates of obesity and diabetes. The objective of the current study was to characterise and evaluate the Singapore government's policies to improve the food environment and to identify and prioritise concrete actions. Design: The Healthy Food Environment Policy Index tool and process were used. An expert panel rated the Singapore government's implementation of forty-seven indicators compared with international best practice in 2018. Indicators were prioritised, and specific recommendations were proposed by panel. Setting: Singapore. Participants: Twenty experts primarily from academia. Results: As compared with international benchmarks, the level of implementation of most indicators (thirty-three indicators, 70 %) by the Singapore government was evaluated as being at least moderate. Highly rated indicators included those related to provision of healthier meals at school, supporting the use of healthier ingredients by food vendors and governmental leadership. More policy indicators (6, 26 %) as compared with infrastructure support indicators (2, 8 %) received a 'very little or no implementation' rating. After rating, the experts prioritised eleven indicators and proposed thirty-one actions informed by several considerations including those of effectiveness, political acceptability, feasibility and unique characteristics of food retail in Singapore. Conclusions: Supported by documented evidence, an independent expert panel identified areas of strengths and provided specific recommendations to meaningfully improve the Singapore food environment to facilitate healthier eating. Fundamental recommendations including improving nutrition profiling and strengthening monitoring systems have the potential to positively influence environments across policy domains. [ABSTRACT FROM AUTHOR]

Background: Integration of mobile health data collection methods into cohort studies enables the collection of intensive longitudinal information, which gives deeper insights into individuals' health and lifestyle behavioral patterns over time, as compared to traditional cohort methods with less frequent data collection. These findings can then fill the gaps that remain in understanding how various lifestyle behaviors interact as students graduate from university and seek employment (student-to-work life transition), where the inability to adapt quickly to a changing environment greatly affects the mental well-being of young adults., Objective: This paper aims to provide an overview of the study methodology and baseline characteristics of participants in Health@NUS, a longitudinal study leveraging mobile health to examine the trajectories of health behaviors, physical health, and well-being, and their diverse determinants, for young adults during the student-to-work life transition., Methods: University students were recruited between August 2020 and June 2022 in Singapore. Participants would complete biometric assessments and questionnaires at 3 time points (baseline, 12-, and 24-month follow-up visits) and use a Fitbit smartwatch and smartphone app to continuously collect physical activity, sedentary behavior, sleep, and dietary data over the 2 years. Additionally, up to 12 two-week-long bursts of app-based ecological momentary surveys capturing lifestyle behaviors and well-being would be sent out among the 3 time points., Results: Interested participants (n=1556) were screened for eligibility, and 776 participants were enrolled in the study between August 2020 and June 2022. Participants were mostly female (441/776, 56.8%), of Chinese ethnicity (741/776, 92%), undergraduate students (759/776, 97.8%), and had a mean BMI of 21.9 (SD 3.3) kg/m 2 , and a mean age of 22.7 (SD 1.7) years. A substantial proportion were overweight (202/776, 26.1%) or obese (42/776, 5.4%), had indicated poor mental well-being (World Health Organization-5 Well-Being Index ≤50; 291/776, 37.7%), or were at higher risk for psychological distress (Kessler Psychological Distress Scale ≥13; 109/776, 14.1%)., Conclusions: The findings from this study will provide detailed insights into the determinants and trajectories of health behaviors, health, and well-being during the student-to-work life transition experienced by young adults., Trial Registration: ClinicalTrials.gov NCT05154227; https://clinicaltrials.gov/study/NCT05154227., International Registered Report Identifier (irrid): DERR1-10.2196/56749., (©Xin Hui Chua, Sarah Martine Edney, Andre Matthias Müller, Nicholas A Petrunoff, Clare Whitton, Zoey Tay, Claire Marie Jie Lin Goh, Bozhi Chen, Su Hyun Park, Salome A Rebello, Alicia Low, Janelle Chia, Daphne Koek, Karen Cheong, Rob M van Dam, Falk Müller-Riemenschneider. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 17.07.2024.)