31 research outputs found
Determinants of health-related quality of life in elderly in Tehran, Iran
BACKGROUND: As Iran started to experience population ageing, it is important to consider and address the elderly people's needs and concerns, which might have direct impacts on their well-being and quality of life. There have been only a few researches into different aspects of life of the elderly population in Iran including their health-related quality of life. The purpose of this study was to measure health-related quality of life (HRQoL) of elderly Iranians and to identify its some determinant factors. METHODS: This was a cross-sectional survey of a random sample of community residents of Tehran aged 65 years old and over. HRQoL was measured using the Short From Health Survey (SF-36). The study participants were interviewed at their homes. Uni-variate analysis was performed for group comparison and logistic regression analysis conducted to predict quality of life determinants. RESULTS: In all, 400 elderly Iranian were interviewed. The majority of the participants were men (56.5%) and almost half of the participants were illiterate (n = 199, 49.8%). Eighty-five percent of the elderly were living with their family or relatives and about 70% were married. Only 12% of participants evaluated their economic status as being good and most of people had moderate or poor economic status. The mean scores for the SF-36 subscales ranged from 70.0 (SD = 25.9) for physical functioning to 53.5 (SD = 29.1) for bodily pain and in general, the respondents significantly showed better condition on mental component of the SF-36 than its physical component (mean scores 63.8 versus 55.0). Performing uni-variate analysis we found that women reported significantly poorer HRQoL. Multiple logistic regression analysis showed that for the physical component summary score of the SF-36, age, gender, education and economic status were significant determinants of poorer physical health-related quality of life; while for the mental component summary score only gender and economic status were significant determinants of poorer mental health-related quality of life. The analysis suggested that the elderly people's economic status was the most significant predictor of their HRQoL. CONCLUSION: The study findings, although with a small number of participants, indicate that elderly people living in Tehran, Iran suffer from relatively poor HRQoL; particularly elderly women and those with lower education. Indeed to improve quality of life among elderly Iranians much more attention should be paid to all aspects of their life including their health, and economic status
Quality of life among Iranian patients with beta-thalassemia major using the SF-36 questionnaire
Self-assessed health among Thai elderly
<p>Abstract</p> <p>Background</p> <p>The ageing of the population is rapidly progressing in Thailand. Self-assessed health status can provide a holistic view of the health of the elderly. This study aims to identify the determinants of self-assessed health among older Thai people.</p> <p>Methods</p> <p>The data for this study were drawn from a national survey of older persons conducted in 2007. Stratified two-stage random sampling was used for data collection. The analysis was restricted to the population aged 60 and above. The study used univariate, bivariate, and multivariate analysis procedures to analyze the data. Bivariate analysis was used to identify the factors associated with self assessment of health status. After controlling for other variables, the variables were further examined using multivariate analysis (binary logistic regression) in order to identify the significant predictors of the likelihood of reporting poor health.</p> <p>Results</p> <p>Overall, 30,427 elderly people were interviewed in this study. More than half of the sampled respondents (53%) were aged 60-69 years and about one out of seven (13%) were aged 80 years or above. About three in five respondents (56%) reported that their health was either fair or very bad/bad. Logistic regression analysis found that age, education, marital status, working status, income, functional status, number of chronic diseases, and number of psychosocial symptoms are significant predictors in determining health status. Respondents who faced more difficulty in daily life were more likely to rate their health as poor compared to those who faced less such difficulty. For instance, respondents who could not perform 3 or more activities of daily living (ADLs) were 3.3 times more likely to assess their health as poor compared to those who could perform all the ADLs. Similarly, respondents who had 1, 2, or 3 or more chronic diseases were 1.8 times, 2.4 times, and 3.7 times, respectively, more likely to report their health as poor compared to those who had no chronic disease at all. Moreover, respondents who had 1-2, 3-4, or 5 or more psychosocial symptoms in the previous months were 1.6 times, 2.2 times, and 2.7 times, respectively, more likely to report poor health compared to those who did not have any psychosocial symptoms during the same period.</p> <p>Conclusion</p> <p>Self-assessed poor health is not uncommon among older people in Thailand. No single factor accounts for the self-assessed poor health. The study has found that chronic disease, functional status, and psychosocial symptoms are the strongest determinants of self-assessed poor health of elderly people living in Thailand. Therefore, health-related programs should focus on all the factors identified in this paper to improve the overall well-being of the ageing population of Thailand.</p
A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur
Self-rated health of population in southern China: association with socio-demographic characteristics measured with multiple-item self-rated health measurement scale
Social support and mental health status of older people: a population-based study in Iran-Tehran
Is Health Related Quality of Life (HRQoL) a valid indicator for health systems evaluation?
This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.The purpose of this review is to do a discussion about the use of the HRQoL as a health measure of the populations that enable to analyze its potential use as a measure of development and efficiency of health systems. The principal use of the HRQoL is in health technologies economics evaluation; however this measure can be use in public health when need to know the health state of population. The WHO recognizes its potential use but its necessary to do a discussion about your difficulties for its application and restrictions for its use as a performance indicator for the health systems.
The review show the different aspects about the use of HRQoL how a measure of efficiency ot the health system, each aspect identified in the literature is analyzed and discussed, developing the pros and cons of their possible use, especially when it comes as a cardinal measure.
The analysis allows recognize that measuring HRQoL in countries could serve as a useful indicator, especially when it seeks to measure the level of health and disease, as do most of the indicators of current use. However, the methodological constraints that do not allow comparability between countries especially when you have large socioeconomic differences have yet to be resolved to allow comparison between different regions.Romero, D.; Vivas Consuelo, DJJ.; Alvis Guzman, NR. (2013). Is Health Related Quality of Life (HRQoL) a valid indicator for health systems evaluation?. SpringerPlus. 2:664-674. doi:10.1186/2193-1801-2-664S6646742Acemoglu D, Johnson S: Disease and development: The effect of life expectancy on economic growth. 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Evaluation of risk factors causing work - related musculoskeletal disorders (WMSDS) in kerman bakery workers by OCRAIndex method
Background and aimsthe musculoskeletal disorders over a large percent of occupational diseases ; therefore, in order to protect workers from such disorders, there is a need to evaluate workers positions at work in different jobs. There are several methods to evaluate risk factors causing work - related musculoskeletal disorders. this study perform on bakers population of four different types of bakeries(Tafton davar,Tafton sonnati,sangak and baget) and we evaluated WMSDs causal risk factors by OCRA Index technique.MethodsIn this research four data gathering methods including observational ,interview,questioner and check list were utilized. Totally 423 samples by proportional cluster samplingmethod collected and we used spss15 soft ware for statistical analysisResultsThe results of this investigation demonstrated that maximum mean value of OCRA index in left and right hands were related to shatery task in sangak bakery (OCRAI index=14.99).finally,56.5,67.4,77.3 and 75 percent of all tasks at Tafton davar,Tafton sonnati,sangak and baget bakeries respectively were in the red area also our results showed that only ,left and right hands OCRA index means of nandari , forushandegi and nandara/forushandegi tasks were equivalent.Conclusionwith regarding to this point that major of tasks in the bakery job locate in the red zone therefore attention to this problem is necessary and use of ergonomics controls to eliminate or reduce exposure of workers to the ergonomics stressors associated with the development ofWMSDs is recommende