OBJECTIVE: In an attempt to understand this relationship, this study aimed to carry out an investigation on online intervention features for effective management of Facebook addiction in higher education.
METHODS: This study was conducted quantitatively using surveys and partial least square-structural equational modeling. The study involved 200 postgraduates in a Facebook support group for postgraduates. The Bergen Facebook Addiction test was used to assess postgraduates' Facebook addiction level, whereas online intervention features were used to assess postgraduates' perceptions of online intervention features for Facebook addiction, which are as follows: (1) self-monitoring features, (2) manual control features, (3) notification features, (4) automatic control features, and (5) reward features.
RESULTS: The study discovered six Facebook addiction factors (relapse, conflict, salience, tolerance, withdrawal, and mood modification) and five intervention features (notification, auto-control, reward, manual control, and self-monitoring) that could be used in the management of Facebook addiction in postgraduate education. The study also revealed that relapse is the most important factor and mood modification is the least important factor. Furthermore, findings indicated that notification was the most important intervention feature, whereas self-monitoring was the least important feature.
CONCLUSIONS: The study's findings (addiction factors and intervention features) could assist future developers and educators in the development of online intervention tools for Facebook addiction management in postgraduate education.
OBSERVATIONS: Solutions to address the CVD burden include a cardiovascular risk assessment framework, improving health screening efforts, better cardiovascular risk factor management, novel innovation strategies encompassing targeted lifestyle measures, and strengthening governmental efforts. With the region's wide socioeconomic and other disparities, contextualizing and practical adaptation of various strategies into local practices, especially in low-middle-income countries, will determine the success of CVD prevention efforts.
CONCLUSIONS: A differential approach addressing cardiovascular risk factor screening, prevention, and management that considers the context-specific socioeconomic, governmental, and cultural aspects in diverse Asian populations may help reduce the rapidly rising CVD trajectory in Asia.
OBSERVATIONS: The challenges in addressing the cardiovascular disease burden in Asia include unique cardiometabolic features of the different populations, heterogeneity of risk factors among Asian countries, differing levels of health literacy and socioeconomic status, suboptimal infrastructure to support preventive care especially in the primary care sector, high out-of-pocket costs, and environmental pollution.
CONCLUSIONS: Asia is a large continent that comprises diverse populations with varying cultures, socioeconomic status, and health literacy levels. Effective preventive cardiology may require differential health care resource allocation and financing models.