Patama Vapattanawong

Indigenous and tribal peoples' health (The Lancet-Lowitja Institute Global Collaboration): a population study.

BACKGROUND International studies of the health of Indigenous and tribal peoples provide important public health insights. Reliable data are required for the development of policy and health services. Previous studies document poorer outcomes for Indigenous peoples compared with benchmark populations, but have been restricted in their coverage of countries or the range of health indicators. Our objective is to describe the health and social status of Indigenous and tribal peoples relative to benchmark populations from a sample of countries. METHODS Collaborators with expertise in Indigenous health data systems were identified for each country. Data were obtained for population, life expectancy at birth, infant mortality, low and high birthweight, maternal mortality, nutritional status, educational attainment, and economic status. Data sources consisted of governmental data, data from non-governmental organisations such as UNICEF, and other research. Absolute and relative differences were calculated. FINDINGS Our data (23 countries, 28 populations) provide evidence of poorer health and social outcomes for Indigenous peoples than for non-Indigenous populations. However, this is not uniformly the case, and the size of the rate difference varies. We document poorer outcomes for Indigenous populations for: life expectancy at birth for 16 of 18 populations with a difference greater than 1 year in 15 populations; infant mortality rate for 18 of 19 populations with a rate difference greater than one per 1000 livebirths in 16 populations; maternal mortality in ten populations; low birthweight with the rate difference greater than 2% in three populations; high birthweight with the rate difference greater than 2% in one population; child malnutrition for ten of 16 populations with a difference greater than 10% in five populations; child obesity for eight of 12 populations with a difference greater than 5% in four populations; adult obesity for seven of 13 populations with a difference greater than 10% in four populations; educational attainment for 26 of 27 populations with a difference greater than 1% in 24 populations; and economic status for 15 of 18 populations with a difference greater than 1% in 14 populations. INTERPRETATION We systematically collated data across a broader sample of countries and indicators than done in previous studies. Taking into account the UN Sustainable Development Goals, we recommend that national governments develop targeted policy responses to Indigenous health, improving access to health services, and Indigenous data within national surveillance systems. FUNDING The Lowitja Institute.

Reductions in child mortality levels and inequalities in Thailand: analysis of two censuses

BACKGROUND Thailands progress in reducing the under-five mortality rate (U5MR) puts the country on track to achieve the fourth Millennium Development Goal (MDG). Whether this success has been accompanied by a widening or narrowing of the child mortality gap between the poorest and richest populations is unknown. We aimed to measure changes in child-mortality inequalities by household-level socioeconomic strata of the Thai population between 1990 and 2000. METHODS We measured changes in the distribution of the U5MR by economic strata using data from the 1990 and 2000 censuses. Economic status was measured using household assets and characteristics. The U5MR was estimated using the Trussell version of the Brass indirect method. FINDINGS Average household economic status improved and inequalities declined between the two censuses. There were substantially larger reductions in U5MR in the poorer segments of the population. Excess child mortality risk between the poorest and richest quintile decreased by 55% (95% CI 39% to 68%). The concentration index, measured using percentiles of economic status, in 1990 was -0.20 (-0.23 to -0.18), whereas in 2000 it had dropped to -0.12 (-0.15 to -0.08), a 43% (22% to 63%) reduction. INTERPRETATION These findings draw attention to the feasibility of incorporating equity measurement into census data. Thailand has achieved both an impressive average decrease in U5MR and substantial reductions in U5MR inequality over a 10 year period. Contributing factors include overall economic growth and poverty reduction, improved insurance coverage, and a scaling-up and more equitable distribution of primary health-care infrastructure and intervention coverage. Understanding the factors that have led to Thailands success could help inform countries struggling to meet the fourth MDG and reduce inequality.

Under-registration of deaths in Thailand in 2005-2006: results of cross-matching data from two sources

OBJECTIVE To estimate the magnitude of under-registration of deaths, by age and sex, in Thailand. METHODS THE DATA IN THIS STUDY WERE DERIVED FROM TWO SOURCES: the Thai Survey of Population Changes (SPC) 2005-2006, a consecutive multi-round household survey conducted over a 12-month period, and Thailands vital registration records. SPC death entries for people of all ages were matched to 2005-2006 death records from vital registration. The principles of a dual records system were applied to estimate the magnitude of under-registration of deaths, classified by age and sex, using the Chandrasekaran-Deming formula. FINDINGS Overall under-registration of deaths during 2005-2006 was 9.00% (95% confidence interval, CI: 8.95-9.05) for males and 8.36% (95% CI: 8.31-8.41) for females. For both males and females, under-registration decreased as age increased. Under-registration was greatest among people of either sex aged 1-4 years, whereas it was < 10% among people 60 years of age and older, both males and females. CONCLUSION These findings provided correction factors that can be used for adjusting mortality data from the registration system.

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

BackgroundTo assess the association of body mass index with mortality in a population-based setting of older people in Thailand.MethodsBaseline 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.ResultsDuring 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 <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.ConclusionsThe 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.

Gender Differences in Health Expectancies across the Disablement Process among Older Thais

Objectives 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. Methods 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). Results 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. Conclusion 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.

The Impact of Parental Migration on the Mental Health of Children Left Behind

This study aims to examine the impact of parental international migration on the mental health of children left behind. Data for this paper were taken from the “Child Health and Migrant Parents in South-East Asia, Thailand, 2008” project. A total of 1,030 children (519 from emigrant parents and 511 from non-migrant parents) were covered. Data were collected from the caregivers of children using the Strength and Difficulties Questionnaire. Multivariate analyses were performed to determine the association between parental migration and the mental health status of children left behind. Several factors were significantly associated with children’s mental health. Our study did not find any association between current parental migration status and mental health status of the children left behind. The study found, however, that mother’s earlier migration history had a significant, independent association with mental health problems of the children left behind. Therefore, effective strategies to prevent such mental health problems among children are warranted.

Changes in Active Life Expectancy Among Older Thais: Results From the 1997 and 2004 National Health Examination Surveys

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.

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

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.