TY - JOUR
T1 - The effect of household poverty on tuberculosis
AU - Siroka, A.
AU - Law, I.
AU - Macinko, J.
AU - Floyd, K.
AU - Banda, R. P.
AU - Hoa, N. B.
AU - Tsolmon, B.
AU - Chanda-Kapata, P.
AU - Gasana, M.
AU - Lwinn, T.
AU - Senkoro, M.
AU - Tupasi, T.
AU - Ponce, N. A.
N1 - Publisher Copyright:
© 2016 The Union.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - SETTING: Households in Malawi, Mongolia, Myanmar, the Philippines, Rwanda, Tanzania, Viet Nam and Zambia. OBJECTIVE : To assess the relationship between household socio-economic level, both relative and absolute, and individual tuberculosis (TB) disease. DESIGN: We analysed national TB prevalence surveys from eight countries individually and in pooled multicountry models. Socio-economic level (SEL) was measured in terms of both relative household position and absolute wealth. The outcome of interest was whether or not an individual had TB disease. Logistic regression models were used to control for putative risk factors for TB disease such as age, sex and previous treatment history. RESULT S : Overall, a strong and consistent association between household SEL and individual TB disease was not found. Significant results were found in four individual country models, with the lowest socioeconomic quintile being associated with higher TB risk in Mongolia, Myanmar, Tanzania and Viet Nam. CONCLUS IONS : TB prevalence surveys are designed to assess prevalence of disease and, due to the small numbers of cases usually detected, may not be the most efficient means of investigating TB risk factors. Different designs are needed, including measuring the SEL of individuals in nested case-control studies within TB prevalence surveys or among TB patients seeking treatment in health care facilities.
AB - SETTING: Households in Malawi, Mongolia, Myanmar, the Philippines, Rwanda, Tanzania, Viet Nam and Zambia. OBJECTIVE : To assess the relationship between household socio-economic level, both relative and absolute, and individual tuberculosis (TB) disease. DESIGN: We analysed national TB prevalence surveys from eight countries individually and in pooled multicountry models. Socio-economic level (SEL) was measured in terms of both relative household position and absolute wealth. The outcome of interest was whether or not an individual had TB disease. Logistic regression models were used to control for putative risk factors for TB disease such as age, sex and previous treatment history. RESULT S : Overall, a strong and consistent association between household SEL and individual TB disease was not found. Significant results were found in four individual country models, with the lowest socioeconomic quintile being associated with higher TB risk in Mongolia, Myanmar, Tanzania and Viet Nam. CONCLUS IONS : TB prevalence surveys are designed to assess prevalence of disease and, due to the small numbers of cases usually detected, may not be the most efficient means of investigating TB risk factors. Different designs are needed, including measuring the SEL of individuals in nested case-control studies within TB prevalence surveys or among TB patients seeking treatment in health care facilities.
KW - Asset score
KW - Prevalence survey
KW - Socio-economic level
KW - Wealth
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U2 - 10.5588/ijtld.16.0386
DO - 10.5588/ijtld.16.0386
M3 - Article
AN - SCOPUS:84998773625
SN - 1027-3719
VL - 20
SP - 1603
EP - 1608
JO - International Journal of Tuberculosis and Lung Disease
JF - International Journal of Tuberculosis and Lung Disease
IS - 12
ER -