Key lifestyles and health outcomes across 16 prevalent chronic diseases: A network analysis of an international observational study.
Li, J
Fong, DYT
Lok, KYW
Wong, JYH
Man Ho, M
Choi, EPH
Pandian, V
Davidson, PM
Duan, W
Tarrant, M
Lee, JJ
Lin, C-C
Akingbade, O
Alabdulwahhab, KM
Ahmad, MS
Alboraie, M
Alzahrani, MA
Bilimale, AS
Boonpatcharanon, S
Byiringiro, S
Hasan, MKC
Schettini, LC
Corzo, W
De Leon, JM
De Leon, AS
Deek, H
Efficace, F
El Nayal, MA
El-Raey, F
Ensaldo-Carrasco, E
Escotorin, P
Fadodun, OA
Fawole, IO
Goh, Y-SS
Irawan, D
Khan, NE
Koirala, B
Krishna, A
Kwok, C
Le, TT
Leal, DG
Lezana-Fernández, MÁ
Manirambona, E
Mantoani, LC
Meneses-González, F
Mohamed, IE
Mukeshimana, M
Nguyen, CTM
Nguyen, HTT
Nguyen, KT
Nguyen, ST
Nurumal, MS
Nzabonimana, A
Omer, NAMA
Ogungbe, O
Poon, ACY
Reséndiz-Rodriguez, A
Puang-Ngern, B
Sagun, CG
Shaik, RA
Shankar, NG
Sommer, K
Toro, E
Tran, HTH
Urgel, EL
Uwiringiyimana, E
Vanichbuncha, T
Youssef, N
- Publisher:
- International Society of Global Health
- Publication Type:
- Journal Article
- Citation:
- J Glob Health, 2024, 14, pp. 04068
- Issue Date:
- 2024-04-12
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Li, J | |
dc.contributor.author | Fong, DYT | |
dc.contributor.author | Lok, KYW | |
dc.contributor.author | Wong, JYH | |
dc.contributor.author | Man Ho, M | |
dc.contributor.author | Choi, EPH | |
dc.contributor.author | Pandian, V | |
dc.contributor.author | Davidson, PM | |
dc.contributor.author | Duan, W | |
dc.contributor.author | Tarrant, M | |
dc.contributor.author | Lee, JJ | |
dc.contributor.author | Lin, C-C | |
dc.contributor.author | Akingbade, O | |
dc.contributor.author | Alabdulwahhab, KM | |
dc.contributor.author | Ahmad, MS | |
dc.contributor.author | Alboraie, M | |
dc.contributor.author | Alzahrani, MA | |
dc.contributor.author | Bilimale, AS | |
dc.contributor.author | Boonpatcharanon, S | |
dc.contributor.author | Byiringiro, S | |
dc.contributor.author | Hasan, MKC | |
dc.contributor.author | Schettini, LC | |
dc.contributor.author | Corzo, W | |
dc.contributor.author | De Leon, JM | |
dc.contributor.author | De Leon, AS | |
dc.contributor.author | Deek, H | |
dc.contributor.author | Efficace, F | |
dc.contributor.author | El Nayal, MA | |
dc.contributor.author | El-Raey, F | |
dc.contributor.author | Ensaldo-Carrasco, E | |
dc.contributor.author | Escotorin, P | |
dc.contributor.author | Fadodun, OA | |
dc.contributor.author | Fawole, IO | |
dc.contributor.author | Goh, Y-SS | |
dc.contributor.author | Irawan, D | |
dc.contributor.author | Khan, NE | |
dc.contributor.author | Koirala, B | |
dc.contributor.author | Krishna, A | |
dc.contributor.author | Kwok, C | |
dc.contributor.author | Le, TT | |
dc.contributor.author | Leal, DG | |
dc.contributor.author | Lezana-Fernández, MÁ | |
dc.contributor.author | Manirambona, E | |
dc.contributor.author | Mantoani, LC | |
dc.contributor.author | Meneses-González, F | |
dc.contributor.author | Mohamed, IE | |
dc.contributor.author | Mukeshimana, M | |
dc.contributor.author | Nguyen, CTM | |
dc.contributor.author | Nguyen, HTT | |
dc.contributor.author | Nguyen, KT | |
dc.contributor.author | Nguyen, ST | |
dc.contributor.author | Nurumal, MS | |
dc.contributor.author | Nzabonimana, A | |
dc.contributor.author | Omer, NAMA | |
dc.contributor.author | Ogungbe, O | |
dc.contributor.author | Poon, ACY | |
dc.contributor.author | Reséndiz-Rodriguez, A | |
dc.contributor.author | Puang-Ngern, B | |
dc.contributor.author | Sagun, CG | |
dc.contributor.author | Shaik, RA | |
dc.contributor.author | Shankar, NG | |
dc.contributor.author | Sommer, K | |
dc.contributor.author | Toro, E | |
dc.contributor.author | Tran, HTH | |
dc.contributor.author | Urgel, EL | |
dc.contributor.author | Uwiringiyimana, E | |
dc.contributor.author | Vanichbuncha, T | |
dc.contributor.author | Youssef, N | |
dc.date.accessioned | 2024-08-06T03:29:04Z | |
dc.date.available | 2024-08-06T03:29:04Z | |
dc.date.issued | 2024-04-12 | |
dc.identifier.citation | J Glob Health, 2024, 14, pp. 04068 | |
dc.identifier.issn | 2047-2978 | |
dc.identifier.issn | 2047-2986 | |
dc.identifier.uri | http://hdl.handle.net/10453/180123 | |
dc.description.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 16 512 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. | |
dc.format | Electronic | |
dc.language | eng | |
dc.publisher | International Society of Global Health | |
dc.relation.ispartof | J Glob Health | |
dc.relation.isbasedon | 10.7189/jogh-14-04068 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 1117 Public Health and Health Services | |
dc.subject.classification | 4206 Public health | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Autoimmune Diseases | |
dc.subject.mesh | Cholesterol | |
dc.subject.mesh | Chronic Disease | |
dc.subject.mesh | COVID-19 | |
dc.subject.mesh | Eczema | |
dc.subject.mesh | Hypertension | |
dc.subject.mesh | Irritable Bowel Syndrome | |
dc.subject.mesh | Life Style | |
dc.subject.mesh | Liver Diseases | |
dc.subject.mesh | Myocardial Infarction | |
dc.subject.mesh | Outcome Assessment, Health Care | |
dc.subject.mesh | Pandemics | |
dc.subject.mesh | Prediabetic State | |
dc.subject.mesh | Pulmonary Disease, Chronic Obstructive | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Sleep Initiation and Maintenance Disorders | |
dc.subject.mesh | Ulcer | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Irritable Bowel Syndrome | |
dc.subject.mesh | Liver Diseases | |
dc.subject.mesh | Pulmonary Disease, Chronic Obstructive | |
dc.subject.mesh | Sleep Initiation and Maintenance Disorders | |
dc.subject.mesh | Myocardial Infarction | |
dc.subject.mesh | Hypertension | |
dc.subject.mesh | Eczema | |
dc.subject.mesh | Prediabetic State | |
dc.subject.mesh | Autoimmune Diseases | |
dc.subject.mesh | Chronic Disease | |
dc.subject.mesh | Ulcer | |
dc.subject.mesh | Cholesterol | |
dc.subject.mesh | Life Style | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Pandemics | |
dc.subject.mesh | Outcome Assessment, Health Care | |
dc.subject.mesh | COVID-19 | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Autoimmune Diseases | |
dc.subject.mesh | Cholesterol | |
dc.subject.mesh | Chronic Disease | |
dc.subject.mesh | COVID-19 | |
dc.subject.mesh | Eczema | |
dc.subject.mesh | Hypertension | |
dc.subject.mesh | Irritable Bowel Syndrome | |
dc.subject.mesh | Life Style | |
dc.subject.mesh | Liver Diseases | |
dc.subject.mesh | Myocardial Infarction | |
dc.subject.mesh | Outcome Assessment, Health Care | |
dc.subject.mesh | Pandemics | |
dc.subject.mesh | Prediabetic State | |
dc.subject.mesh | Pulmonary Disease, Chronic Obstructive | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Sleep Initiation and Maintenance Disorders | |
dc.subject.mesh | Ulcer | |
dc.title | Key lifestyles and health outcomes across 16 prevalent chronic diseases: A network analysis of an international observational study. | |
dc.type | Journal Article | |
utslib.citation.volume | 14 | |
utslib.location.activity | Scotland | |
utslib.for | 1117 Public Health and Health Services | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health/IMPACCT | |
utslib.copyright.status | open_access | * |
dc.rights.license | This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ | |
dc.date.updated | 2024-08-06T03:28:56Z | |
pubs.publication-status | Published online | |
pubs.volume | 14 |
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 16 512 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.
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