22 research outputs found

    Obesity and mortality among older Thais: a four year follow up study

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    BACKGROUND: To assess the association of body mass index with mortality in a population-based setting of older people in Thailand. METHODS: Baseline data from the National Health Examination Survey III (NHES III) conducted in 2004 was linked to death records from vital registration for 2004-2007. Complete information regarding body mass index (BMI) (n = 15997) and mortality data were separately analysed by sex. The Cox Proportional Hazard Model was used to test the association between BMI and all-cause mortality controlling for demographic, socioeconomic, and health risk factors. RESULTS: During a mean follow-up time of 3.8 years (60545.8 person-years), a total of 1575 older persons, (936 men and 639 women) had died. A U-shaped and reverse J-shaped of association between BMI and all-cause mortality were observed in men and women, respectively. However there was no significant increased risk in the higher BMI categories. Compared to those with BMI 18.5-22.9 kg/m(2), the adjusted hazard ratios (HR) of all-cause mortality for those with BMI <18.5, 23.0-24.9, 25.0-27.4, 27.5-29.9, 30.0-34.9, and ≥35.0 were 1.34 (95% CI, 1.14-1.58), 0.79 (95% CI, 0.65-0.97), 0.81 (95% CI, 0.65-1.00), 0.67 (95% CI, 0.48-0.94), 0.60 (95% CI, 0.35-1.03), and 1.87 (95% CI, 0.77-4.56), respectively, for men, and were 1.29 (95% CI,1.04-1.60), 0.70 (95% CI, 0.55-0.90), 0.79 (95% CI, 0.62-1.01), 0.57 (95% CI, 0.41-0.81), 0.58 (95% CI, 0.39-0.87), and 0.78 (95% CI, 0.38-1.59), respectively, for women. CONCLUSIONS: The results of this study support the obesity paradox phenomenon in older Thai people, especially in women. Improvement in quality of mortality data and further investigation to confirm such association are needed in this population

    Obesity and mortality among older Thais: a four year follow up study

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    Abstract Background To assess the association of body mass index with mortality in a population-based setting of older people in Thailand. Methods Baseline data from the National Health Examination Survey III (NHES III) conducted in 2004 was linked to death records from vital registration for 2004-2007. Complete information regarding body mass index (BMI) (n = 15997) and mortality data were separately analysed by sex. The Cox Proportional Hazard Model was used to test the association between BMI and all-cause mortality controlling for demographic, socioeconomic, and health risk factors. Results During a mean follow-up time of 3.8 years (60545.8 person-years), a total of 1575 older persons, (936 men and 639 women) had died. A U-shaped and reverse J-shaped of association between BMI and all-cause mortality were observed in men and women, respectively. However there was no significant increased risk in the higher BMI categories. Compared to those with BMI 18.5-22.9 kg/m2, the adjusted hazard ratios (HR) of all-cause mortality for those with BMI Conclusions The results of this study support the obesity paradox phenomenon in older Thai people, especially in women. Improvement in quality of mortality data and further investigation to confirm such association are needed in this population.</p

    Regional and Gender Differences in Years with and without Mobility Limitation in the Older Population of Thailand.

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    OBJECTIVES:To examine gender and regional differences in health expectancies based on the measure of mobility. METHODS:Health expectancies by gender and region were computed by Sullivan's method from the fourth Thai National Health Examination Survey (2009). A total of 9,210 older persons aged 60 years and older were included. Mobility limitation was defined as self-reporting of ability to perform only with assistances/aids at least one of: walking at least 400 metres; or going up or down a flight of 10 stairs. Severe limitation was defined as complete inability to do at least one of these two functions, even with assistances or aids. RESULTS:At age 60, females compared to males, spent significantly fewer years without mobility limitation (male-female = 3.2 years) and more years with any limitation (female-male = 6.7 years) and with severe limitation (female-male = 3.2 years). For both genders, years lived with severe limitation were remarkably constant across age. Significant regional inequalities in years lived without and with limitation were evident, with a consistent pattern by gender in years free of mobility limitation (Central ranked the best and the North East ranked the worst). Finally, both males and females in the South had the longest life expectancy and the most years of life with severe mobility limitation. CONCLUSION:This study identifies inequalities in years without and with mobility limitations with important policy implication

    Gender differences in health expectancies across the disablement process among older Thais.

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    To estimate health expectancies based on measures that more fully cover the stages in the disablement process for the older Thais and examine gender differences in these health expectancies.Health expectancies by genders using Sullivan's method were computed from the fourth Thai National Health Examination Survey conducted in 2009. A total of 9,210 participants aged 60 years and older were included in the analysis. Health measures included chronic diseases; cognitive impairment; depression; disability in instrumental activities of daily living (IADL); and disability in activities of daily living (ADL).The average number of years lived with and without morbidity and disability as measured by multiple dimensions of health varied and gender differences were not consistent across measures. At age 60, males could expect to live the most years on average free of depression (18.6 years) and ADL disability (18.6 years) and the least years free of chronic diseases (9.1 years). Females, on the contrary, could expect to live the most years free of ADL disability (21.7 years) and the least years free of IADL disability (8.1 years), and they consistently spent more years with all forms of morbidity and disability. Finally, and for both genders, years lived with cognitive impairment, depression and ADL disability were almost constant with increasing age.This study adds knowledge of gender differences in healthy life expectancy in the older Thai population using a wider spectrum of health which provides useful information to diverse policy audiences

    In Caring for Older People in Low- and Middle-Income Countries, Do Older Caregivers Have a High Level of Care Burden and Psychological Morbidity Compared to Younger Caregivers?

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    Caregivers have become older as longevity increases. Caregiving for older people can cause burdens and psychological morbidity, which are the chronic stresses perceived by informal caregivers. This study aimed to compare the levels of care burden and psychological morbidity between older and younger caregivers in low- and middle-income countries. A cross-sectional survey was conducted in Cuba, the Dominican Republic, Peru, Venezuela, Mexico, Puerto Rico, and China. Data were collected by the 10/66 Dementia Research Group. The Zarit Burden Inventory was used to measure the levels of burden on caregivers. Psychological morbidity was assessed through the Self-Reporting Questionnaire. Data from 1348 households in which informal caregivers provided home care for one older person were included in the analysis. Multivariable logistic regression was used to investigate the effects of caregiver age upon care burden and psychological morbidity. A fixed-effect meta-analysis model was used to obtain a pooled estimate of the overall odds ratios of each country. The unadjusted and the adjusted model for potential covariates revealed no significant difference in care burden and psychological morbidity between older caregivers and younger caregivers. The adjusted pooled estimates, however, indicated a lower psychological morbidity among older caregivers (OR = 0.61, 95% CI: 0.41&ndash;0.93, I2 = 0.0%). The demographic implications of caregiver age may suggest different policy responses across low- and middle-income countries

    Life expectancy, number of years lived in different states of mobility limitation (95%CI), and proportion of years lived with mobility limitation to life expectancy at age 60 for Thai females by regions, 2009.

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    <p>Life expectancy, number of years lived in different states of mobility limitation (95%CI), and proportion of years lived with mobility limitation to life expectancy at age 60 for Thai females by regions, 2009.</p

    Asia-Pacific Journal of Public Health On behalf of: Asia-Pacific Academic Consortium for Public Health can be found at: Asia-Pacific Journal of Public Health Additional services and information for

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    Abstract This study aims to determine the disability prevalence and changes in active life expectancy of the Thai older people between 1997 and 2004. Data on disability of older people aged ≥60 years were obtained from the National Health Examination Surveys. Disability refers to one or more restrictions on the activities of daily living. The Sullivan method was used to calculate active life expectancy. A total of 4048 older people in 1997 and 19 372 older people in 2004 were included in the analysis. Active life expectancy at age 60 of men was 16.5 years in 1997 and 17.6 years in 2004, whereas that of women was 17.9 and 19.9 years, respectively. Women spent a greater proportion of the remaining life with disability. The proportion of active life for both genders also increased during the 7-year period suggesting an evidence of the compression of morbidity in Thai older people

    Prevalence<sup>a</sup> (in percent) of morbidity and disability by age and genders in Thailand, 2009 (95% CIs in parentheses).

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    <p><sup>a</sup>With sampling weighted</p><p>*Significantly higher than the other gender (two-proportion z-test, p<0.05)</p><p>Source: Author’s computations from the NHES IV.</p><p>Prevalence<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0121310#t002fn001" target="_blank"><sup>a</sup></a> (in percent) of morbidity and disability by age and genders in Thailand, 2009 (95% CIs in parentheses).</p
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