scholarly journals Health-Related Quality of Life among Elderly Population of Bangladesh

2020 ◽  
Vol 15 (2) ◽  
pp. 161-164
Author(s):  
FM Shamim Ahmmed ◽  
Md Saydur Rahman ◽  
Farzana Zafreen ◽  
Rowshan Ara ◽  
Md Ziaul Islam
Keyword(s):  
Quality Of Life ◽  
Elderly Population ◽  
The Elderly ◽  
Significant Negative Correlation ◽  
Rural Elderly ◽  
Health Related Quality ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related

Introduction: Elderly population in Bangladesh is one of the largest in the world in term of absolute number and ageing is an emerging problem. Elderly are at risk from non-communicable diseases as well as mental problems and health-related quality of life (HRQoL) affects in urban and rural elderly. Objective: To find out and compare HRQoL in urban and rural elderly population of Bangladesh. Materials and Methods:A comparative cross-sectional study was carried out to compare HRQoL in urban and rural elderly. This was a two samples study; 130 each from urban and rural. Total 260 elderly were selected conveniently. Data were collected through face to face interview using a pre-tested semi structured questionnaire of SF-36 v2 HRQoL survey.  This study was carried in urban elderly residing in Ward number 3, Race Course, Cumilla City Corporation and in rural elderly residing in Noapuskuni Village of Babutipara Union, Muradnager Upazila, Cumilla. This one-year study was conducted from 15 July 2017 to 14 June 2018. Results: Majority of the elderly were Muslim (91.5%), female (53.5%), married (59.6%) and from joint family (91%). The mean ± SD age of elderly was 69.26±6.337 years and mean ± SD monthly family income was Tk. 16561.54±9192.076. SF- 36 v2 HRQoL scale; a licensed software-based survey tool was used measure the health-related quality of life of elderly.  Most of the elderly were found with average physical component summary (PCS) (53.1%) and mental component summary (MCS) (50.8%) of HRQoL. Age had significant negative correlation with PCS (p<0.001) and MCS (p<0.001) in urban and rural elderly. Education level of urban and rural elderly had significant positive correlation with PCS (p<0.01) and MCS (p<0.01). Marital status of urban and rural elderly had significant negative correlation with PCS (p<0.001) and MCS (p<0.001) of HRQoL. Among the rural respondents, the mean ± SD of PCS of male was 43.79±5.766 and female was 41.14±6.860. The difference was statistically significant (p<0.05). Mean score of PCS of urban and rural respondents were 45.68±6.366 and 42.43±6.467 respectively. This difference was statistically significant (p<0.001). Mean scores of MCS of urban and rural respondents were 43.96±4.921 and 42.56±7.028 respectively. This difference was not statistically significant (p>0.05). Conclusion: Most of the elderly had average level of health-related quality life. Rural female elderly had significantly lower physical health of HRQoL than that of rural male elderly. Physical dimension of HRQoL of rural elderly was significantly lower than that of urban elderly. JAFMC Bangladesh. Vol 15, No 2 (December) 2019: 161-164

scholarly journals Health related quality of life among the elderly: a population-based study using SF-36 survey

2009 ◽  
Vol 25 (10) ◽  
pp. 2159-2167 ◽  
Author(s):  
Margareth Guimarães Lima ◽  
Marilisa Berti de Azevedo Barros ◽  
Chester Luiz Galvão César ◽  
Moisés Goldbaum ◽  
Luana Carandina ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Inequalities ◽  
The Elderly ◽  
Physical Factors ◽  
Health Related Quality ◽  
Cross Sectional ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related

As life expectancy continues to rise, one of the greatest challenges of public health is to improve the quality of later years of life. The aim of this present study was to analyze the quality of life profile of the elderly across different demographic and socioeconomic factors. A cross-sectional study was carried out in two stages, involving 1,958 individuals aged 60 years or more. Health related quality of life (HRQOL) was assessed using the SF-36 questionnaire. The lowest scores were found among measures for vitality, mental health and general health and the highest among factors including social functioning and role limitations due to emotional and physical factors. HRQOL was found to be worse among women, in individuals at advanced ages, those who practiced evangelical religions and those with lower levels of income and schooling. The greatest differences in SF-36 scores between the categories were observed in functional capacity and physical factors. The results suggest that healthcare programs for the elderly should take into account the multi-dimensionality of health and social inequalities so that interventions can target the most affected elements of HRQOL as well as the most vulnerable subgroups of the population.

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

2016 ◽  
Vol 5 (2) ◽  
pp. 35-42
Author(s):  
Thant Zin ◽  
Than Myint ◽  
Daw KS Naing ◽  
Kyaw Htay ◽  
Aye Aye Wynn ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Joint Pain ◽  
Elderly Population ◽  
The Elderly ◽  
Health Related Quality ◽  
Hrqol Score ◽  
Related Quality ◽  
Health Related

Ageing is a global phenomenon. In Malaysia, a projected model estimated that the number of elderly would be 3.4 million in 2020 which is more than 10% of the population. A cross-sectional study targeted the elderly population of three villages in rural Sabah, Malaysia aimed to investigate the health-related quality of life, comorbidity, and the socio-demographic profile amongst the elderly in the community. Participants (60 years and above) were selected for face-to-face interviews using health-related quality of life questionnaires (SF-36). SPSS 21 was used for statistical analyses. Results showed that mean (sd) of age; 67.71 (6.95) years. Five common co-morbidities were hypertension (67%), bone and joint pain (63%), gastric pain (67%), poor vision (58%), and hearing problems (33%). The highest HRQoL score was social functioning (67.96) whereas the lowest HRQoL score is role limitation due to emotional problems (30.54). There is a significant relationship between HRQoL domains and socio-demographic factors (gender, marital status, membership in association), and health condition (co-morbidities and access to healthcare, bone and joint pain or arthritis and treatment, hearing impairment and treatment) which indicated need for health and social support like participating in association and access to health care for rural elderly in future programme. We recommend a further study to compare elderly HRQoL in rural, urban and institutional settings for future health-care planning.South East Asia Journal of Public Health Vol.5(2) 2015: 35-42

scholarly journals Relationship between Subjective Oral Discomfort and Health-Related Quality of Life in the South Korean Elderly Population

2020 ◽  
Vol 17 (6) ◽  
pp. 1906
Author(s):  
Kyung-Yi Do ◽  
Sook Moon
Keyword(s):  
Quality Of Life ◽  
Oral Health ◽  
Elderly Population ◽  
The Elderly ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Korean Elderly ◽  
The Impact

This study examined the relationship between oral discomfort and health-related quality of life (HRQOL) in the Korean elderly, using the datasets provided by the Korea National Health and Nutrition Examination Survey (KHNANES) over 6 consecutive years (2010–2015). A total of 13,618 participants aged 65 years and over were included in the final analysis. A complex sample logistic regression was performed to determine the impact of oral discomfort on HRQOL. The results revealed that toothache, masticatory discomfort, and pronunciation problems caused by oral health conditions were all risk factors for decreased HRQOL. In particular, masticatory discomfort (adjusted odds ratio (AOR) 1.63, Model III (adjusted for all covariates)) and pronunciation problems (AOR 1.64, Model III) negatively impacted the HRQOL of the elderly to a great extent. Masticatory discomfort had a stronger negative impact on HRQOL in the domains of “self-care” (AOR 1.83) and “usual activities” (AOR 1.66), while pronunciation problems had a similar impact on all five domains of the EuroQol 5-Dimension (EQ-5D). These findings could serve as baseline data for setting up early intervention programs for the timely prevention of oral health-related discomfort problems that greatly affect the QOL of the elderly population, and for the development of comprehensive and efficient dental insurance policies.

scholarly journals Assessment of Health Related Quality of Life and Medication Adherence in the Elderly Population

2021 ◽  
Vol 12 (3) ◽  
pp. 2233-2238
Author(s):  
Aishwaria Jyothi Bhasu ◽  
Mangala Susmitha ◽  
Rhea Climies ◽  
Asmita Clara Baral ◽  
Divya Mol E. C. ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Medication Adherence ◽  
Elderly Population ◽  
The Elderly ◽  
Health Related Quality ◽  
Efficient Treatment ◽  
Prescription Analysis ◽  
Related Quality ◽  
Health Related

The elderly population, aged above 60 years, are prone to various chronic and concurrent diseases. This requires prolonging medication usage, often with complex regimens which affect their medication-taking behavior, compliance, adherence, and overall prognosis of the disease. Thereby, an accurate assessment of adherence behavior and its complimentary factors, prescription analysis are necessary for effective and efficient treatment planning and an overall improvement in the Health Related Quality of Life (HRQOL) of the elderly population. Our study was aimed to comprehend the HRQOL and medication adherence pattern of the elderly. One hundred and thirty-three subjects with a mean age of 66.68 ± 5.49 years were recruited for the study and were assessed for their HRQOL, medication adherence, and the factors influencing medication adherence. Relevant data were collected, questionnaires were administered, and appropriate descriptive and inferential statistics were performed. Our findings demonstrated that there is a noticeable change in the HRQOL of the elderly population. It was also found that subjects were highly adherent to their medications, but certain factors played a major role in influencing medication non-adherence. This implies the importance of determining factors affecting HRQOL, medication adherence, adequate prescription analysis, and promoting and practicing rational use of drugs that can significantly optimize therapy and provide a good prognosis of disease for the elderly population.

scholarly journals PO-215 The Association of Gait Speed and Quality of Life in Older Adults

2018 ◽  
Vol 1 (5) ◽  
Author(s):  
Hanxiao Zhu
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Physical Functioning ◽  
Gait Speed ◽  
The Elderly ◽  
Health Related Quality ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related

Objective With aging, the health and self-care ability of the elderly generally decrease, falling into frailty ultimately. In this process, the loss of muscle mass is very obvious, which will result sluggishness, especially in walking speed. This study aimed to assess whether gait speed could be used as a predictor for health-related quality of life in older adults. Methods 368 subjects were recruited from community-dwelling older adults. Gait speed measurements included usual gait speed (UGS) and fast gait speed (FGS), at a distance of 50 meters. Health-related quality of life (HRQoL) was assessed through SF-36 questionnaire. The correlation of gait speed and quality of life was analyzed. Results Gait speed (both UGS and FGS) possessed a closed correlation with the total score of SF-36 questionnaire (r >0.6, P <0.05). Most subcomponent of HRQoL (Physical functioning, role limitations because of physical health problems, social functioning, vitality, and general health perceptions) are related to UGS and FGS, where the correlation coefficient is higher on FGS in Physical functioning, vitality, and general health perception than UGS. Conclusions Gait speed is correlate to health-related quality of life in elderly people. Therefore, in health services for the elderly, we should strengthen the monitoring of gait speed, and take brisk walking as an effective way of exercise.  

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