Key lifestyles and health outcomes across 16 prevalent chronic diseases: A network analysis of an international observational study

Authors

Jiaying Li, The University of Hong Kong Li Ka Shing Faculty of Medicine
Daniel Yee Tak Fong, The University of Hong Kong Li Ka Shing Faculty of Medicine
Kris Yuet Wan Lok, The University of Hong Kong Li Ka Shing Faculty of Medicine
Janet Yuen Ha Wong, Hong Kong Metropolitan University
Mandy Man Ho, The University of Hong Kong Li Ka Shing Faculty of Medicine
Edmond Pui Hang Choi, The University of Hong Kong Li Ka Shing Faculty of Medicine
Vinciya Pandian, Johns Hopkins School of Nursing
Patricia M. Davidson, University of Wollongong
Wenjie Duan, East China University of Science and Technology
Marie Tarrant, University of British Columbia Okanagan
Jung Jae Lee, The University of Hong Kong Li Ka Shing Faculty of Medicine
Chia Chin Lin, The University of Hong Kong Li Ka Shing Faculty of Medicine
Oluwadamilare Akingbade, Chinese University of Hong Kong
Khalid M. Alabdulwahhab, Majmaah University
Mohammad Shakil Ahmad, Majmaah University
Mohamed Alboraie, Faculty of Medicine
Meshari A. Alzahrani, Majmaah University
Anil S. Bilimale, JSS Medical College & Hospital, Mysuru
Sawitree Boonpatcharanon, Chulalongkorn Business School
Samuel Byiringiro, Johns Hopkins School of Nursing
Muhammad Kamil Che Hasan, International Islamic University Malaysia
Luisa Clausi Schettini, Italian Association against Leukemia
Walter Corzo, Diálogos Guatemala
Josephine M. De Leon, Centro Escolar University
Anjanette S. De Leon, Centro Escolar University
Hiba Deek, Beirut Arab University
Fabio Efficace, Data Center and Health Outcomes Research Unit
Mayssah A. El Nayal, Beirut Arab University
Fathiya El-Raey, Faculty of Medicine

Publication Name

Journal of Global Health

Abstract

Background Central and bridge nodes can drive significant overall improvements within their respective networks. We aimed to identify them in 16 prevalent chronic diseases during the coronavirus disease 2019 (COVID-19) pandemic to guide effective intervention strategies and appropriate resource allocation for most significant holistic lifestyle and health improvements. Methods We surveyed 16512 adults from July 2020 to August 2021 in 30 territories. Participants self-reported their medical histories and the perceived impact of COVID-19 on 18 lifestyle factors and 13 health outcomes. For each disease subgroup, we generated lifestyle, health outcome, and bridge networks. Variables with the highest centrality indices in each were identified central or bridge. We validated these networks using nonparametric and case-dropping subset bootstrapping and confirmed central and bridge variables’ significantly higher indices through a centrality difference test. Findings Among the 48 networks, 44 were validated (all correlation-stability coefficients?>0.25). Six central lifestyle factors were identified: less consumption of snacks (for the chronic disease: anxiety), less sugary drinks (cancer, gastric ulcer, hypertension, insomnia, and pre-diabetes), less smoking tobacco (chronic obstructive pulmonary disease), frequency of exercise (depression and fatty liver disease), duration of exercise (irritable bowel syndrome), and overall amount of exercise (autoimmune disease, diabetes, eczema, heart attack, and high cholesterol). Two central health outcomes emerged: less emotional distress (chronic obstructive pulmonary disease, eczema, fatty liver disease, gastric ulcer, heart attack, high cholesterol, hypertension, insomnia, and pre-diabetes) and quality of life (anxiety, autoimmune disease, cancer, depression, diabetes, and irritable bowel syndrome). Four bridge lifestyles were identified: consumption of fruits and vegetables (diabetes, high cholesterol, hypertension, and insomnia), less duration of sitting (eczema, fatty liver disease, and heart attack), frequency of exercise (autoimmune disease, depression, and heart attack), and overall amount of exercise (anxiety, gastric ulcer, and insomnia). The centrality difference test showed the central and bridge variables had significantly higher centrality indices than others in their networks (P<0.05). Conclusion To effectively manage chronic diseases during the COVID-19 pandemic, enhanced interventions and optimised resource allocation toward central lifestyle factors, health outcomes, and bridge lifestyles are paramount. The key variables shared across chronic diseases emphasise the importance of coordinated intervention strategies.

Open Access Status

This publication is not available as open access

Volume

14

Article Number

04068

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Link to publisher version (DOI)

http://dx.doi.org/10.7189/jogh.14.04068