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Social Support among Older Persons and Its Association with Smoking: Findings from the National Health and Morbidity Survey 2018
Background: Globally, the average age of the world’s population of older people continues to rise and having a good social support network becomes increasingly relevant with the aging populace. Overall, in Malaysia, social support prevalence was low among older persons. This study was conducted to d...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454005/ https://www.ncbi.nlm.nih.gov/pubmed/37628448 http://dx.doi.org/10.3390/healthcare11162249 |
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author | Krishnapillai, Ambigga Kee, Chee Cheong Ariaratnam, Suthahar Jaffar, Aida Omar, Mohd Azahadi Sanaudi, Ridwan B. Sooryanarayana, Rajini Kiau, Ho Bee Ghazali, Sazlina Shariff Mohd Tohit, Noorlaili Zainal Abidin, Sheleaswani Inche |
author_facet | Krishnapillai, Ambigga Kee, Chee Cheong Ariaratnam, Suthahar Jaffar, Aida Omar, Mohd Azahadi Sanaudi, Ridwan B. Sooryanarayana, Rajini Kiau, Ho Bee Ghazali, Sazlina Shariff Mohd Tohit, Noorlaili Zainal Abidin, Sheleaswani Inche |
author_sort | Krishnapillai, Ambigga |
collection | PubMed |
description | Background: Globally, the average age of the world’s population of older people continues to rise and having a good social support network becomes increasingly relevant with the aging populace. Overall, in Malaysia, social support prevalence was low among older persons. This study was conducted to determine the association between social support and smoking status among the older Malaysian population. Methods: Data were obtained from the National Health and Morbidity (NHMS) 2018 survey on the health of older Malaysian adults and analyzed. This cross-sectional population-based study used a two-stage stratified random sampling design. Sociodemographic characteristics, smoking status, and social support data were collected from respondents aged 60 years and more. A validated Malay language interviewer-administered questionnaire of 11-items, the Duke Social Support Index, was utilized to assess the social support status. A multivariable logistic regression analysis was used to assess the association of social support and smoking status among the respondents. Results: The prevalence of good social support was significantly higher among the 60–69 years old (73.1%) compared to the ≥80 years old respondents (50%). Multivariate logistic regression analysis showed that respondents aged ≥80 years old were 1.7 times more likely to have poor social support compared to those aged 60–69 years. Respondents with no formal education were 1.93 times more likely to have poor social support compared to respondents who had tertiary education. Respondents with an income of <MYR 1000 were 1.94 times more likely to have poor social support compared to respondents with an income of >MYR 3000. Former smokers had good social support compared to current smokers (73.6% vs. 78.7%). For current smokers, they had poor social support, which is almost 1.42 times higher than that for non-smokers. Conclusion: There was poor social support among older people who were current smokers, had an increased age, had no formal education and had a low income. The findings obtained from this study could assist policymakers to develop relevant strategies at the national level to enhance the social support status among older smokers and aid in their smoking cessation efforts. |
format | Online Article Text |
id | pubmed-10454005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104540052023-08-26 Social Support among Older Persons and Its Association with Smoking: Findings from the National Health and Morbidity Survey 2018 Krishnapillai, Ambigga Kee, Chee Cheong Ariaratnam, Suthahar Jaffar, Aida Omar, Mohd Azahadi Sanaudi, Ridwan B. Sooryanarayana, Rajini Kiau, Ho Bee Ghazali, Sazlina Shariff Mohd Tohit, Noorlaili Zainal Abidin, Sheleaswani Inche Healthcare (Basel) Article Background: Globally, the average age of the world’s population of older people continues to rise and having a good social support network becomes increasingly relevant with the aging populace. Overall, in Malaysia, social support prevalence was low among older persons. This study was conducted to determine the association between social support and smoking status among the older Malaysian population. Methods: Data were obtained from the National Health and Morbidity (NHMS) 2018 survey on the health of older Malaysian adults and analyzed. This cross-sectional population-based study used a two-stage stratified random sampling design. Sociodemographic characteristics, smoking status, and social support data were collected from respondents aged 60 years and more. A validated Malay language interviewer-administered questionnaire of 11-items, the Duke Social Support Index, was utilized to assess the social support status. A multivariable logistic regression analysis was used to assess the association of social support and smoking status among the respondents. Results: The prevalence of good social support was significantly higher among the 60–69 years old (73.1%) compared to the ≥80 years old respondents (50%). Multivariate logistic regression analysis showed that respondents aged ≥80 years old were 1.7 times more likely to have poor social support compared to those aged 60–69 years. Respondents with no formal education were 1.93 times more likely to have poor social support compared to respondents who had tertiary education. Respondents with an income of <MYR 1000 were 1.94 times more likely to have poor social support compared to respondents with an income of >MYR 3000. Former smokers had good social support compared to current smokers (73.6% vs. 78.7%). For current smokers, they had poor social support, which is almost 1.42 times higher than that for non-smokers. Conclusion: There was poor social support among older people who were current smokers, had an increased age, had no formal education and had a low income. The findings obtained from this study could assist policymakers to develop relevant strategies at the national level to enhance the social support status among older smokers and aid in their smoking cessation efforts. MDPI 2023-08-10 /pmc/articles/PMC10454005/ /pubmed/37628448 http://dx.doi.org/10.3390/healthcare11162249 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Article Krishnapillai, Ambigga Kee, Chee Cheong Ariaratnam, Suthahar Jaffar, Aida Omar, Mohd Azahadi Sanaudi, Ridwan B. Sooryanarayana, Rajini Kiau, Ho Bee Ghazali, Sazlina Shariff Mohd Tohit, Noorlaili Zainal Abidin, Sheleaswani Inche Social Support among Older Persons and Its Association with Smoking: Findings from the National Health and Morbidity Survey 2018 |
title | Social Support among Older Persons and Its Association with Smoking: Findings from the National Health and Morbidity Survey 2018 |
title_full | Social Support among Older Persons and Its Association with Smoking: Findings from the National Health and Morbidity Survey 2018 |
title_fullStr | Social Support among Older Persons and Its Association with Smoking: Findings from the National Health and Morbidity Survey 2018 |
title_full_unstemmed | Social Support among Older Persons and Its Association with Smoking: Findings from the National Health and Morbidity Survey 2018 |
title_short | Social Support among Older Persons and Its Association with Smoking: Findings from the National Health and Morbidity Survey 2018 |
title_sort | social support among older persons and its association with smoking: findings from the national health and morbidity survey 2018 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454005/ https://www.ncbi.nlm.nih.gov/pubmed/37628448 http://dx.doi.org/10.3390/healthcare11162249 |
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