The multidimensional background of malnutrition among rural older individuals in Bangladesh--a challenge for the Millennium Development Goal
Ferdous, T.; Kabir, Z.N.; Wahlin, A.; Streatfield, K.; Cederholm, T.
Public Health Nutrition 12(12): 2270-2278
2009
ISSN/ISBN: 1475-2727 PMID: 19257922 DOI: 10.1017/s1368980009005096Document Number: 212137
To investigate the associations and relative impact of illness, socio-economic and social indicators for nutritional status among elderly persons in rural Bangladesh. A multidisciplinary, cross-sectional study employing home interviews to collect information on demographic, socio-economic and social status; clinical examination to classify medical diagnoses; and Mini Nutritional Assessment (MNA) to assess the nutritional status of each participant. Matlab, Bangladesh. A total of 625 randomly selected individuals (>or=60 years of age) participated in home interviews and 473 underwent clinical examination. Complete information on nutritional status was available for 457 individuals, median age 68 years, 55 % women. Twenty-six per cent of the elderly participants were undernourished and 62 % were at risk of malnutrition according to MNA. More than three-quarters of the participants had acute infections, 66 % suffered from chronic illnesses, 36 % had sensory impairments and 81 % were suffering from gastrointestinal disorders. Acute infections (P < 0.001), gastrointestinal disorders (P < 0.01), depressive symptoms (P < 0.001) and impaired cognitive function (P < 0.01) were significantly and independently associated with poorer nutritional status. Moreover, female gender (P < 0.05), having no income (P < 0.01), being illiterate (P < 0.01) and not receiving regular financial support (P < 0.05) were also independently associated with poor nutritional status. Malnutrition among elderly people in rural Bangladesh is associated with female gender, medical, psychological, socio-economic and social indicators. A multidimensional approach is probably needed to reduce undernutrition in older populations in low-income countries like Bangladesh.