Abstract

This study describes community health status in NAD Province after tsunami disaster and its relatedfactors. Health status was obtained from data of Surkesda NAD 2006 which included questions ofphysical and mental health of respondents aged 15 years in the past month. Set of questions used wasadapted from general framework of International Classification of Functioning, Disability and Health(ICF) which include 8 domains, i.e., mobility, personal healthcare, pain and discomfort, cognitive,public relation, vision, sleep disorder and, affection. Statistical method used to analyse relation andcontribution of various study variables was logistic regression. The result showed that 74 percent ofrespondents reported generally in good health status at the time of interview. The percentages bydistrict varied, from the lowest for Gayo Lues (44 percent) to the highest for Banda Aceh (89 percent).When respondents referred to their health status in the past month, based on question for each domain,only 62 percent of them reported in good health status. Poor health status was mostly found forrespondents aged 45 years (64 percent), female (42 percent), low education (48 percent), low income(41 percent), living in rural area (40 percent), living in medium conflict-experienced area (42 percent),had medium impact of tsunami (41 percent), low physical activity (38 percent), low fiber consumption(39 percent), had used to be a smoker (62 percent), low BMI (48 percent), had hypertension (51percent) and rheumatic disease (67 percent). From logistic regression model had shown that female hadprobability 1,4 times to have poor health status compared to male while low education had probability1.3 times, used to be a smoker had 1.8 times, low BMI had 1,7 times, hypertension suffer had 1,3 timesand rheumatic suffer had 4,5 times. Respondents aged 45 years and above with low physical activityhad probability 3.3 times to have poor health status compared to those with adequate physical activity.While those aged below 45 years with insufficient physical activity had probability 1.6 times to havepoor health status compared to those with sufficient physical activity. To improve health status of thepopulation, particularly for districts below the average, government should promote on health risks ofsmoking, insufficient physical activity, and inadequate fiber consumption. The government should alsopay attention on hypertension and rheumatism which were prevalent among elderly. Keywords: health status, economic status, education level, smoking behaviour, physical activity, bodymass index, hypertension, rheumatic disease

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