Chua Xin Hui, Edney Sarah Martine, Müller Andre Matthias, Petrunoff Nicholas A, Whitton Clare, Tay Zoey, Goh Claire Marie Jie Lin, Chen Bozhi, Park Su Hyun, Rebello Salome A, Low Alicia, Chia Janelle, Koek Daphne, Cheong Karen, van Dam Rob M, Müller-Riemenschneider Falk
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.
JMIR Res Protoc. 2024 Jul 17;13:e56749. doi: 10.2196/56749.
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.
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.
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.
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, 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%).
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.
ClinicalTrials.gov NCT05154227; https://clinicaltrials.gov/study/NCT05154227.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56749.
将移动健康数据收集方法整合到队列研究中，能够收集密集的纵向信息。与传统队列研究中数据收集频率较低的方法相比，这种方法能够更深入地洞察个体随时间推移的健康状况和生活方式行为模式。这些研究结果可以填补在理解大学生毕业并寻求就业（从学生到职场生活的转变）过程中各种生活方式行为如何相互作用方面仍然存在的空白，在这个转变过程中，无法快速适应变化的环境会极大地影响年轻人的心理健康。
本文旨在概述“新加坡国立大学健康研究”（Health@NUS）参与者的研究方法和基线特征。这是一项纵向研究，利用移动健康技术来研究年轻人从学生到职场生活转变期间的健康行为轨迹、身体健康状况和幸福感，以及它们的各种决定因素。
2020年8月至2022年6月期间在新加坡招募大学生。参与者将在3个时间点（基线、12个月和24个月随访）完成生物特征评估和问卷调查，并在两年内使用Fitbit智能手表和智能手机应用程序持续收集身体活动、久坐行为、睡眠和饮食数据。此外，在这3个时间点之间，还将发送多达12次为期两周的基于应用程序的生态瞬时调查，以获取生活方式行为和幸福感信息。
对感兴趣的参与者（n = 1556）进行了资格筛选，2020年8月至2022年6月期间有776名参与者被纳入研究。参与者大多为女性（441/776，56.8%），华裔（741/776，92%），本科生（759/776，97.8%），平均体重指数为21.9（标准差3.3）kg/m²，平均年龄为22.7（标准差1.7）岁。相当一部分人超重（202/776，26.1%）或肥胖（42/776，5.4%），心理健康状况不佳（世界卫生组织-5幸福感指数≤50；291/776，37.7%），或心理困扰风险较高（凯斯勒心理困扰量表≥13；109/776，14.1%）。
本研究结果将为年轻人从学生到职场生活转变期间健康行为、健康状况和幸福感的决定因素及轨迹提供详细见解。
ClinicalTrials.gov NCT05154227；https://clinicaltrials.gov/study/NCT05154227。
国际注册报告识别码（IRRID）：DERR1-10.2196/56749。
