Sedentary Behaviour and Its Correlates Among Older Adults in Malaysia
Sedentary behaviors (SBs), which are low-energy, wakeful activities performed in a sitting, reclining, or lying posture, are independently associated with numerous adverse health outcomes, including mental health disorders, non-communicable diseases, and an increased risk of mortality. This study in...
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| Veröffentlicht in: | Healthcare (Basel) 2025-01, Vol.13 (2), p.160 |
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| creator | Kee, Chee Cheong Tan, Lay Kim Cheah, Yong Kang Teh, Chien Huey Lim, Hui Li Cheong, Yoon Ling Omar, Mohd Azahadi Mohd Ghazali, Sumarni |
| description | Sedentary behaviors (SBs), which are low-energy, wakeful activities performed in a sitting, reclining, or lying posture, are independently associated with numerous adverse health outcomes, including mental health disorders, non-communicable diseases, and an increased risk of mortality. This study investigated associations between sociodemographic characteristics, lifestyle factors, mental health, nutritional status, social support, functional limitations, and SB among older persons in Malaysia.
Data from 3977 individuals aged 60 years and above, extracted from the National Health and Morbidity Survey (NHMS) 2018, were analyzed using complex samples logistic regression.
The prevalence of sedentary behavior, defined as sitting or reclining for 8 or more hours per day, among the surveyed population was 23.2%. Older age (≥75 years) was significantly associated with higher odds of SB (AORs 1.58 to 2.76,
< 0.001 to
= 0.001). Unemployment (AOR = 1.32,
= 0.020) and indigenous Sabah and Sarawak ethnicity (AOR = 2.48,
= 0.007) were also linked to increased odds of SB. Conversely, individuals with a monthly income of MYR 1000-1999 had lower odds of SB compared to those earning ≥MYR 2000 (AOR = 0.64,
= 0.022), and those at risk of malnutrition were also less likely to engage in SB (AOR = 0.68,
= 0.031). No significant associations were found between SB and sex, marital status, educational level, or chronic illness.
These findings suggest that public health initiatives to reduce SB among older adults should prioritize the oldest aged, unemployed, and specific ethnic communities, as well as addressing nutritional risk to promote healthier aging among older persons in Malaysia. |
| doi_str_mv | 10.3390/healthcare13020160 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_crossref_primary_10_3390_healthcare13020160</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3159437501</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2270-f217ca98e6c40831e17e1bb2cae4fc0a1039d2a1ee8bd9373a4d71063bfc14a23</originalsourceid><addsrcrecordid>eNplUUtP9DAMjBAIEPAHOKBKXLgsxHG7SU9ovxUvCcQBOEdu6rJF2ZYvaZH494SneOTiSB6PZzxC7II8RCzl0YLJDwtHgQGlkjCVK2JTKaUnpUS1-u2_IXZifJDplYAGi3WxgaUpNBi9KU5uuOZuoPCc_eMFPbX9GDLq6uxiiNm8D4E9DRyz2bLv7rNrX3PIZvXoU7ftsivy9Bxb2hZrDfnIOx91S9ydntzOzyeX12cX89nlxCUxctIo0I5Kw1OXS4PAoBmqSjnivHGSQGJZKwJmU9UlaqS81iCnWDUOclK4JY7feR_Hasm1S8oDefsY2mVyYHtq7c9O1y7sff9kAfS0UAYTw8EHQ-j_jxwHu2yjY--p436MFqEojUw7TYLu_4I-pON0yd8bKkddSEgo9Y5yoY8xcPOlBqR9Tcr-TSoN7X338TXymQu-ADB5kQc</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3159437501</pqid></control><display><type>article</type><title>Sedentary Behaviour and Its Correlates Among Older Adults in Malaysia</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Kee, Chee Cheong ; Tan, Lay Kim ; Cheah, Yong Kang ; Teh, Chien Huey ; Lim, Hui Li ; Cheong, Yoon Ling ; Omar, Mohd Azahadi ; Mohd Ghazali, Sumarni</creator><creatorcontrib>Kee, Chee Cheong ; Tan, Lay Kim ; Cheah, Yong Kang ; Teh, Chien Huey ; Lim, Hui Li ; Cheong, Yoon Ling ; Omar, Mohd Azahadi ; Mohd Ghazali, Sumarni</creatorcontrib><description>Sedentary behaviors (SBs), which are low-energy, wakeful activities performed in a sitting, reclining, or lying posture, are independently associated with numerous adverse health outcomes, including mental health disorders, non-communicable diseases, and an increased risk of mortality. This study investigated associations between sociodemographic characteristics, lifestyle factors, mental health, nutritional status, social support, functional limitations, and SB among older persons in Malaysia.
Data from 3977 individuals aged 60 years and above, extracted from the National Health and Morbidity Survey (NHMS) 2018, were analyzed using complex samples logistic regression.
The prevalence of sedentary behavior, defined as sitting or reclining for 8 or more hours per day, among the surveyed population was 23.2%. Older age (≥75 years) was significantly associated with higher odds of SB (AORs 1.58 to 2.76,
< 0.001 to
= 0.001). Unemployment (AOR = 1.32,
= 0.020) and indigenous Sabah and Sarawak ethnicity (AOR = 2.48,
= 0.007) were also linked to increased odds of SB. Conversely, individuals with a monthly income of MYR 1000-1999 had lower odds of SB compared to those earning ≥MYR 2000 (AOR = 0.64,
= 0.022), and those at risk of malnutrition were also less likely to engage in SB (AOR = 0.68,
= 0.031). No significant associations were found between SB and sex, marital status, educational level, or chronic illness.
These findings suggest that public health initiatives to reduce SB among older adults should prioritize the oldest aged, unemployed, and specific ethnic communities, as well as addressing nutritional risk to promote healthier aging among older persons in Malaysia.</description><identifier>ISSN: 2227-9032</identifier><identifier>EISSN: 2227-9032</identifier><identifier>DOI: 10.3390/healthcare13020160</identifier><identifier>PMID: 39857187</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Activities of daily living ; Aging ; Dementia ; Diabetes ; Disease prevention ; Education ; Exercise ; Health facilities ; Hypertension ; Lifestyles ; Marital status ; Mental health ; Metabolism ; Nutritional status ; Older people ; Population ; Public transportation ; Quality of life ; Questionnaires ; Rural areas ; Sedentary behavior ; Sociodemographics ; Travel</subject><ispartof>Healthcare (Basel), 2025-01, Vol.13 (2), p.160</ispartof><rights>2025 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2025 by the authors. 2025</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2270-f217ca98e6c40831e17e1bb2cae4fc0a1039d2a1ee8bd9373a4d71063bfc14a23</cites><orcidid>0009-0008-9014-6367 ; 0000-0002-2786-7195 ; 0000-0002-6793-7055 ; 0000-0001-5230-9569 ; 0000-0003-1372-9549 ; 0000-0001-5846-2783</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11765283/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11765283/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39857187$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kee, Chee Cheong</creatorcontrib><creatorcontrib>Tan, Lay Kim</creatorcontrib><creatorcontrib>Cheah, Yong Kang</creatorcontrib><creatorcontrib>Teh, Chien Huey</creatorcontrib><creatorcontrib>Lim, Hui Li</creatorcontrib><creatorcontrib>Cheong, Yoon Ling</creatorcontrib><creatorcontrib>Omar, Mohd Azahadi</creatorcontrib><creatorcontrib>Mohd Ghazali, Sumarni</creatorcontrib><title>Sedentary Behaviour and Its Correlates Among Older Adults in Malaysia</title><title>Healthcare (Basel)</title><addtitle>Healthcare (Basel)</addtitle><description>Sedentary behaviors (SBs), which are low-energy, wakeful activities performed in a sitting, reclining, or lying posture, are independently associated with numerous adverse health outcomes, including mental health disorders, non-communicable diseases, and an increased risk of mortality. This study investigated associations between sociodemographic characteristics, lifestyle factors, mental health, nutritional status, social support, functional limitations, and SB among older persons in Malaysia.
Data from 3977 individuals aged 60 years and above, extracted from the National Health and Morbidity Survey (NHMS) 2018, were analyzed using complex samples logistic regression.
The prevalence of sedentary behavior, defined as sitting or reclining for 8 or more hours per day, among the surveyed population was 23.2%. Older age (≥75 years) was significantly associated with higher odds of SB (AORs 1.58 to 2.76,
< 0.001 to
= 0.001). Unemployment (AOR = 1.32,
= 0.020) and indigenous Sabah and Sarawak ethnicity (AOR = 2.48,
= 0.007) were also linked to increased odds of SB. Conversely, individuals with a monthly income of MYR 1000-1999 had lower odds of SB compared to those earning ≥MYR 2000 (AOR = 0.64,
= 0.022), and those at risk of malnutrition were also less likely to engage in SB (AOR = 0.68,
= 0.031). No significant associations were found between SB and sex, marital status, educational level, or chronic illness.
These findings suggest that public health initiatives to reduce SB among older adults should prioritize the oldest aged, unemployed, and specific ethnic communities, as well as addressing nutritional risk to promote healthier aging among older persons in Malaysia.</description><subject>Activities of daily living</subject><subject>Aging</subject><subject>Dementia</subject><subject>Diabetes</subject><subject>Disease prevention</subject><subject>Education</subject><subject>Exercise</subject><subject>Health facilities</subject><subject>Hypertension</subject><subject>Lifestyles</subject><subject>Marital status</subject><subject>Mental health</subject><subject>Metabolism</subject><subject>Nutritional status</subject><subject>Older people</subject><subject>Population</subject><subject>Public transportation</subject><subject>Quality of life</subject><subject>Questionnaires</subject><subject>Rural areas</subject><subject>Sedentary behavior</subject><subject>Sociodemographics</subject><subject>Travel</subject><issn>2227-9032</issn><issn>2227-9032</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNplUUtP9DAMjBAIEPAHOKBKXLgsxHG7SU9ovxUvCcQBOEdu6rJF2ZYvaZH494SneOTiSB6PZzxC7II8RCzl0YLJDwtHgQGlkjCVK2JTKaUnpUS1-u2_IXZifJDplYAGi3WxgaUpNBi9KU5uuOZuoPCc_eMFPbX9GDLq6uxiiNm8D4E9DRyz2bLv7rNrX3PIZvXoU7ftsivy9Bxb2hZrDfnIOx91S9ydntzOzyeX12cX89nlxCUxctIo0I5Kw1OXS4PAoBmqSjnivHGSQGJZKwJmU9UlaqS81iCnWDUOclK4JY7feR_Hasm1S8oDefsY2mVyYHtq7c9O1y7sff9kAfS0UAYTw8EHQ-j_jxwHu2yjY--p436MFqEojUw7TYLu_4I-pON0yd8bKkddSEgo9Y5yoY8xcPOlBqR9Tcr-TSoN7X338TXymQu-ADB5kQc</recordid><startdate>20250115</startdate><enddate>20250115</enddate><creator>Kee, Chee Cheong</creator><creator>Tan, Lay Kim</creator><creator>Cheah, Yong Kang</creator><creator>Teh, Chien Huey</creator><creator>Lim, Hui Li</creator><creator>Cheong, Yoon Ling</creator><creator>Omar, Mohd Azahadi</creator><creator>Mohd Ghazali, Sumarni</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>KB0</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0008-9014-6367</orcidid><orcidid>https://orcid.org/0000-0002-2786-7195</orcidid><orcidid>https://orcid.org/0000-0002-6793-7055</orcidid><orcidid>https://orcid.org/0000-0001-5230-9569</orcidid><orcidid>https://orcid.org/0000-0003-1372-9549</orcidid><orcidid>https://orcid.org/0000-0001-5846-2783</orcidid></search><sort><creationdate>20250115</creationdate><title>Sedentary Behaviour and Its Correlates Among Older Adults in Malaysia</title><author>Kee, Chee Cheong ; 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This study investigated associations between sociodemographic characteristics, lifestyle factors, mental health, nutritional status, social support, functional limitations, and SB among older persons in Malaysia.
Data from 3977 individuals aged 60 years and above, extracted from the National Health and Morbidity Survey (NHMS) 2018, were analyzed using complex samples logistic regression.
The prevalence of sedentary behavior, defined as sitting or reclining for 8 or more hours per day, among the surveyed population was 23.2%. Older age (≥75 years) was significantly associated with higher odds of SB (AORs 1.58 to 2.76,
< 0.001 to
= 0.001). Unemployment (AOR = 1.32,
= 0.020) and indigenous Sabah and Sarawak ethnicity (AOR = 2.48,
= 0.007) were also linked to increased odds of SB. Conversely, individuals with a monthly income of MYR 1000-1999 had lower odds of SB compared to those earning ≥MYR 2000 (AOR = 0.64,
= 0.022), and those at risk of malnutrition were also less likely to engage in SB (AOR = 0.68,
= 0.031). No significant associations were found between SB and sex, marital status, educational level, or chronic illness.
These findings suggest that public health initiatives to reduce SB among older adults should prioritize the oldest aged, unemployed, and specific ethnic communities, as well as addressing nutritional risk to promote healthier aging among older persons in Malaysia.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39857187</pmid><doi>10.3390/healthcare13020160</doi><orcidid>https://orcid.org/0009-0008-9014-6367</orcidid><orcidid>https://orcid.org/0000-0002-2786-7195</orcidid><orcidid>https://orcid.org/0000-0002-6793-7055</orcidid><orcidid>https://orcid.org/0000-0001-5230-9569</orcidid><orcidid>https://orcid.org/0000-0003-1372-9549</orcidid><orcidid>https://orcid.org/0000-0001-5846-2783</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
| subjects | Activities of daily living Aging Dementia Diabetes Disease prevention Education Exercise Health facilities Hypertension Lifestyles Marital status Mental health Metabolism Nutritional status Older people Population Public transportation Quality of life Questionnaires Rural areas Sedentary behavior Sociodemographics Travel |
| title | Sedentary Behaviour and Its Correlates Among Older Adults in Malaysia |
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