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1.
Article in English | IMSEAR | ID: sea-42116

ABSTRACT

To describe the prevalence of overweight and obesity and examine their relationship with socio-demographic factors in Thai adults. Using data from a cross-sectional survey, the National Health Examination Survey II (NHESII), the authors examined the prevalence of overweight (BMI > or = 25 kg/m2) and obesity (BMI > or = 30 kg/m2) in 3,220 Thai adults aged 20-59 yr. Univariate analyses and Logistic regression models were used to examine the association of overweight and obesity with socio-demographic and behavioral risk factors. The overall age-adjusted prevalence of overweight and obesity were 28.3% and 6.8% respectively, with a higher prevalence for women than for men (overweight: 33.9% vs 19.2% and obesity: 8.8% vs 3.5%). The prevalence of overweight and obesity was greater among older compared to younger people and among residents of urban (34.8% and 9.9%) compared to rural areas (26.4% and 5.9%). The prevalence of overweight and obesity varied by region in line with the level of economic development--Bangkok, Central, North, South and North-East. By using logistic regression analysis, overweight was associated with a number of characteristics as follows: age (per ten years increase) with adjusted Odds Ratio (OR) of 1.3; women 1.4; married 2.2; being a current smoker 0.4, and living in Bangkok and the central region 1.6 (compare to North-East). There was no clear difference in prevalence of overweight and obesity among education levels and type of occupation after controlling for other covariates. In conclusion, women of middle age, married, and living in Bangkok and the Central region, are at greater risk of overweight and obesity. Without effective lifestyle modification programs to curb these physiologic risk factors at population level, it is likely that related disease burden will ensue. Public health surveillance and intervention to modify the risk factors of excessive weight should be implemented.


Subject(s)
Adolescent , Adult , Body Weight , Female , Health Surveys , Humans , Male , Middle Aged , Obesity/epidemiology , Odds Ratio , Prevalence , Thailand/epidemiology
2.
Southeast Asian J Trop Med Public Health ; 2003 Dec; 34(4): 929-36
Article in English | IMSEAR | ID: sea-31963

ABSTRACT

In order to determine which diseases and health problems were most strongly associated with long-term disability among the Thai elderly and to determine their public health priority, a national cross-sectional multistage random sampling survey was conducted in 1997. Four thousand and forty-eight Thai older persons aged 60 years and over were recruited and interviewed by trained interviewers. Overall, 769 (19%) people reported having a long-term disability. Participants with long-term disability (LD) reported having between one and 21 long-term diseases or health problems. Eighteen of these problems were independently associated with LD in logistic regression analysis. Nearly half of the cases with LD (46.4%) suffered from two or more health problems. The odds of LD increased with the number of problems suffered. The problems contributing most to the population burden of disease as assessed by population attributable risk fractions were hemiparesis, arthritis, accidents (unintentional injuries), blindness and other eye diseases, kyphosis, weakness of limbs, deafness, and hypertension. This ranking of public health priority differs from conventional approaches using mortality statistics and disability adjusted life years (DALYs). In conclusion, national disability surveys provide a valuable means of assessing the population burden of disability and determining the underlying causes of disability. These methods provide a direct assessment of disability prevalence and disease priorities for rapidly ageing transitional countries where death certification may be incomplete or inaccurate.


Subject(s)
Aged , Aged, 80 and over , Chronic Disease/epidemiology , Cross-Sectional Studies , Disabled Persons/statistics & numerical data , Female , Health Priorities , Health Services for the Aged , Health Surveys , Humans , Logistic Models , Male , Middle Aged , Population Dynamics , Risk , Thailand/epidemiology
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