OBJECTIVE: To report geographical variations of sex-specific @entity6 by place of residence (large cities/city corporations, small towns/other urban areas, rural areas) and region of residence (divided into seven divisions) among general adults (35+ years of age) in Bangladesh. METHODS: The recent cross-sectional data, extracted from the nationally representative Bangladesh Demographic and Health Survey 2011, was used. A total of 3,720 @entity1 and 3,823 @entity1 aged 35+ years, who participated in the fasting blood sugar testing, were analysed. Any @entity1 with either fasting plasma glucose level (mmol/L) >= 7.0 or taking medication for @entity6 was considered as a @entity1 with @entity6 . RESULTS: The prevalence of @entity6 was 10.6% in @entity1 and 11.3% in @entity1 . Bivariable analyses indicated significant variations of @entity6 by both geographical variables. The prevalence was highest in city corporations ( @entity1 18.0%, @entity1 22.3%), followed by small towns ( @entity1 13.6%, @entity1 15.2%) and rural areas ( @entity1 9.3%, @entity1 9.5%). Regional disparities in @entity6 prevalence were also remarkable, with the highest prevalence in Chittagong division and lowest prevalence in Khulna division. Multivariable logistic regression analyses provided mixed patterns of geographical disparities (depending on the adjusted variables). Some other independent risk factors for @entity6 were advancing age, higher level of education and wealth, having TV (a proxy indicator of physical activity), overweight/ @entity28 and @entity101 . CONCLUSIONS: Over 10% of the general adults aged 35 years and older were having @entity6 . Most of the @entity1 with @entity6 were unaware of this before testing fasting plasma @entity413 level. Although significant disparities in @entity6 prevalence by geographical variables were observed, such disparities are very much influenced by the adjusted variables. Finally, we underscore the necessities of area-specific strategies including early diagnosis and health education programmes for changing lifestyles to reduce the risk of @entity6 in Bangladesh.

The Geography of XXXX among the General Adults Aged 35 Years and Older in Bangladesh: Recent Evidence from a Cross-Sectional Survey.

@entity1 :: ('9606', 'Species') :: ['women', 'person', 'persons', 'men'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertension'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obesity'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity413 :: ('MESH:D005947', 'Chemical') :: ['glucose']
@entity6 :: (MESH:D003920,Disease) :: ['Diabetes']
