Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105315
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Social Sciences | - |
dc.creator | Zhou, S | - |
dc.creator | Ding, X | - |
dc.creator | Leung, JTY | - |
dc.date.accessioned | 2024-04-12T06:51:36Z | - |
dc.date.available | 2024-04-12T06:51:36Z | - |
dc.identifier.issn | 1661-7827 | - |
dc.identifier.uri | http://hdl.handle.net/10397/105315 | - |
dc.language.iso | en | en_US |
dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
dc.rights | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Zhou S, Ding X, Leung JTY. Healthy Aging at Family Mealtimes: Associations of Clean Cooking, Protein Intake, and Dining Together with Mental Health of Chinese Older Adults amid COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 2023; 20(3):1672 is available at https://doi.org/10.3390/ijerph20031672. | en_US |
dc.subject | Chinese | en_US |
dc.subject | Clean cooking | en_US |
dc.subject | Diet | en_US |
dc.subject | Family dining | en_US |
dc.subject | Healthy aging | en_US |
dc.subject | Mental health | en_US |
dc.subject | Older adults | en_US |
dc.subject | Protein intake | en_US |
dc.title | Healthy aging at family mealtimes : associations of clean cooking, protein intake, and dining together with mental health of Chinese older adults amid COVID-19 pandemic | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 20 | - |
dc.identifier.issue | 3 | - |
dc.identifier.doi | 10.3390/ijerph20031672 | - |
dcterms.abstract | The present study aims to examine whether multiple dietary factors affect the mental health of older adults amid the COVID-19 pandemic. It proposes an integrative dietary framework that highlights environmental, nutritional, and social aspects of diet for healthy aging. Based on a sample of 7858 Chinese older adults, the associations between diet and depressive symptoms, along with the rural–urban divide, were examined using zero-inflated negative binomial regression. Overall, protein intake (incidence-rate ratio [IRR] = 0.89, p < 0.001), frequency of family dining together (IRR = 0.98, p < 0.001), and using tap water for cooking (IRR = 0.92, p < 0.01) were associated with lower incidence rates of depressive symptoms among older adults. Among rural older adults, frequency of family dining together (IRR = 0.97, p < 0.001) and tap water use (IRR = 0.89, p < 0.001) were associated with fewer depressive symptoms. However, urban residents who had a higher frequency of family dining together (IRR = 0.98, p < 0.05) and protein intake (IRR = 0.81, p < 0.001) exhibited fewer depressive symptoms. The findings revealed multifaceted dietary pathways towards healthy aging, which call for policies and interventions that improve diet quality for community-dwelling older adults. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | International journal of environmental research and public health, Feb. 2023, v. 20, no. 3, 1672 | - |
dcterms.isPartOf | International journal of environmental research and public health | - |
dcterms.issued | 2023-02 | - |
dc.identifier.scopus | 2-s2.0-85147826734 | - |
dc.identifier.pmid | 36767039 | - |
dc.identifier.eissn | 1660-4601 | - |
dc.identifier.artn | 1672 | - |
dc.description.validate | 202403 bcvc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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ijerph-20-01672-v3.pdf | 1.24 MB | Adobe PDF | View/Open |
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