A study on health-related quality of life and  comorbidity among elderly population in rural Sabah, Malaysia

Zin, Thant; Myint, Than; Naing, Daw Ks; Htay, Kyaw; Wynn, Aye Aye; SabaiAung, Tin; Musleh, Awang Setia; Robinson, Fredie

doi:10.3329/seajph.v5i2.28311

Cited by 8 publications

(7 citation statements)

References 23 publications

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“…The observed variations in HRQOL level between countries or groups may be attributed to differences in their income or educational level, health care or social support systems, or cultural differences in the conceptualization of some of the SF-36 subscale. [89151617]…”

Section: Discussionmentioning

confidence: 99%

Sociodemographic variations in health-related quality of life (HRQOL) among elderly individuals in an urban locality in India

Medhi

Sarma

Bhattacharyya

et al. 2019

J Family Med Prim Care

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Background: Elderly population is growing rapidly in India. To direct public health actions to improve quality of life among elderly, it is important to understand the sociodemographic factors associated with quality of life. The aim of study was to assess health-related quality of life (HRQOL) among urban elderly in a setting of Assam, India, and to examine how HRQOL varied across different sociodemographic groups among the elderly populations. Materials and Methods: A cross-sectional study was carried among elderly aged ≥60 involving 300 participants. Eight domains of HRQOL of participants were measured using RAND SF-36. Analysis of variance test was used to examine sociodemographic differences in HRQOL. Results: The BP domain had highest (71.78 ± 22.25) and GH had lowest mean HRQOL score (48 ± 16.93). Males had significantly higher HRQOL score than females only in BP domain. Age gradients were observed with respect to HRQOl scores in five domains, with youngest age group having the best and oldest age group having the poorest HRQOL. Financially dependent subjects had lower HRQOL in five domains than those who were financially independent. Significant associations between education and HRQOL were found only in physical components of HRQOL, with lowest educated group being the most disadvantaged in terms of HRQOL. Marital status was found to be significantly associated with lower HRQOL scores. Conclusion: The study highlights sociodemographic inequalities in HRQOL among urban elderly in an Indian setting. The results may help reducing sociodemographic health inequalities among elderly in this region initiating public health actions paying more attention toward more vulnerable sections of populations.

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Section: Discussionmentioning

confidence: 99%

Sociodemographic variations in health-related quality of life (HRQOL) among elderly individuals in an urban locality in India

Medhi

Sarma

Bhattacharyya

et al. 2019

J Family Med Prim Care

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“…Conjointly, securing the well-being of physical, psychological, and social health of employees assists in stabilising an organisation. However, the majority of the published studies in Malaysia have considered only factors associated with HRQOL among the population with clinical presentation and the elderly; there is still a lack of data available concentrating on the HRQOL of the working population [ 18 , 19 , 20 , 21 , 22 , 23 ]. Therefore, the present study aimed to determine HRQOL and its associated factors—namely, sociodemographic factors, lifestyle factors, and medical history—among government employees in Putrajaya, Malaysia.…”

Section: Introductionmentioning

confidence: 99%

Factors Associated with Health-Related Quality of Life among Government Employees in Putrajaya, Malaysia

Ashri

Saad

Adznam

2021

IJERPH

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The current rapid growth of the economy has necessitated an assessment of health-related quality of life (HRQOL) and its associated factors among employees. Unfortunately, there are still limited data available in this area among the Malaysian working population in government sectors. The aim of this study was to evaluate the factors associated with HRQOL among government employees in Putrajaya, Malaysia. This cross-sectional study recruited 460 eligible government employees who worked in the area of Putrajaya through simple random sampling. The self-administered questionnaire was distributed to these participants to collect information on the SF-36 profile of scores, sociodemographic factors, lifestyle factors, and medical history. The results of this study signify that most of the participants were identified as having good HRQOL with the mean score of overall HRQOL was 72.42 ± 14.99. Multivariate analysis showed that being younger, receiving a better monthly personal income, a smaller household number, performing more physical activity, not having any chronic disease, and not using any long-term medication were significantly positively associated with overall HRQOL. The participants who did not have a family history of chronic disease were reported to be significantly associated with better mental component summary (MCS). Further, males were significantly positively associated with bodily pain (BP) and general health (GH) only, whereas better occupational status was limited to social functioning (SF). In conclusion, the results of this study provide motivation for future research and initiatives for improving the physical, emotional, and social well-being of government employees.

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“…Smoking is influenced by socioeconomic factors and education [20]. Study has shown positive association of demographic variables like smoking status, gender, education with diseases including hearing impairment [21]. The present study was undertaken to find association between smoking and hearing loss.…”

Section: International Journal Of Medical Research and Reviewmentioning

confidence: 88%

Association between smoking and hearing status: a comparative study between smokers and non – smokers

et al. 2017

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Background: Smoking, age, gender, socioeconomic class and education may contribute to the hearing loss. In this study hearing loss between smokers (current and ex) and non smokers was compared. Materials and Methods: 145 smokers [79 current (68 males, 11 females) and 66 ex smokers (60 males, 6 females)] and 145 non smokers (69 males, 76 females) were studied. Modified Kuppuswamy scale and smoking index were used. Hearing loss was assessed by Audiometry. P value of<0.05(unpaired t test and chi square test) was taken as statistically significant. Result: Statistically significant and non significant differences were found between the mean age and educational status of current-ex smokers and smokers-non smokers respectively. Statistically significant and non significant differences were found between the socioeconomic status of smokers-non smokers and current-ex smokers respectively. Difference was significant between smoking index of current and ex smokers (p=0.003). 70.05% males had hearing loss as compared to females (49.46%). About 59.24% and 26.09% hearing loss cases belonged to low education and upper and upper middle social class respectively. 68% and 24.24% of moderate and severe smoking index were of professional to graduate educational status. 36.17% and 30.30% of moderate to severe smoking index belonged to upper and upper middle socioeconomic class. 73.91% were from low social classes. 47.59% non smokers and 25.51% smokers had no hearing loss. The severity of hearing loss was more in heavy smokers. Conclusion: Hearing loss associated with smoking was found to be more in male gender, advancing age, low socioeconomic and educational classes.

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A study on health-related quality of life and comorbidity among elderly population in rural Sabah, Malaysia

Cited by 8 publications

References 23 publications

Sociodemographic variations in health-related quality of life (HRQOL) among elderly individuals in an urban locality in India

Sociodemographic variations in health-related quality of life (HRQOL) among elderly individuals in an urban locality in India

Factors Associated with Health-Related Quality of Life among Government Employees in Putrajaya, Malaysia

Association between smoking and hearing status: a comparative study between smokers and non – smokers

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