ArticleTobacco induced diseases2023
Smoking status and its relationship with depression among the elderly population in Malaysia: Findings from the National Health and Morbidity Survey 2018.
Article in Tobacco induced diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Systemic inflammation and mental health: A J-shaped dose-response pattern in depression based on NHANES 2005 to 2018.Medicine · 2026Article
- Smoking cessation behavior, nicotine addiction, and mental health among current smokers in Klang Valley, Malaysia- a cross-sectional questionnaire survey.BMC public health · 2025Article
- Distribution and association of depression with tobacco consumption among middle-aged and elderly Indian population: nested multilevel modelling analysis of nationally representative cross-sectional survey.Journal of health, population, and nutrition · 2025Article
- The impact of adverse childhood experiences on depression in old age: evidence from China.Frontiers in psychiatry · 2025Article
- Evidence for causal effects of neuropsychiatric conditions on risk of venous thromboembolism: A univariable and multivariable Mendelian randomization study.Journal of vascular surgery. Venous and lymphatic disorders · 2024Review
- Traditional Chinese Medicine constitution among patients with allergic rhinitis and its correlation with anxiety and depression.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2023Article
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Abstract
introductionLiterature exploring smoking status and its association with depression among the elderly population using nationwide data in Malaysia is limited. Hence, a nationwide survey to determine the prevalence of smoking and depression among the elderly (aged ≥60 years) population was undertaken.
methodsThis secondary dataset analysis used data from the National Health and Morbidity Survey (NHMS) 2018. Data from 3914 participants were collected on elderly health in the Malaysian population. Sociodemographic characteristics were recorded. Smoking status was grouped as current smokers, former smokers, and non-smokers. A validated Malay language version of the Geriatric Depression Scale (M-GDS-14) was used to screen for depression among the elderly.
resultsThere was a significant association between smoking status with location, gender, employment status, marital status, ethnicity, education level, income, and depression. Current smokers are significantly higher in rural than urban areas. Among depressed participants, 65.7%, 17.1% and 17.2% were non-smokers, former smokers and current smokers, respectively. Multiple logistic regression showed that single (unmarried/separated/ divorced/widowed) participants were more likely to be depressed compared to married participants (AOR=1.68; 95% CI: 1.16-2.43). Whilst unemployed participants were more likely to be depressed than those who were employed (AOR=1.72; 95% CI: 1.22-2.44). Other Bumiputras were more likely to have depression compared to Malay, Chinese and Indian participants. Participants without formal education were more likely to be depressed compared to those having tertiary education. These participants have a 2-fold increased risk of depression (AOR=2.13; 95% CI: 1.02-4.45). Participants whose monthly salaries were <2000 MYR (AOR=3.67; 95% CI: 1.84-7.31) and 1000-1999 MYR (AOR=2.71; 95% CI: 1.23-5.94) were more likely to have depression compared with those who had received ≥3000 MYR. Ever smokers were more likely to be depressed than non-smokers (AOR=1.68; 95% CI: 1.23-2.29).
conclusionsElderly Malaysians are indeed at risk of developing depression particularly if they had ever smoked. Public health awareness and campaigning are pertinent to disseminate these outcomes in order to spread the awareness associated with smoking-related depression.
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