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Mini Nutritional Assessment of rural elderly people in Bangladesh: the impact of demographic, socio-economic and health factors – ERRATUM

  • Zarina Nahar Kabir, Tamanna Ferdous, Tommy Cederholm, Masuma Akter Khanam, Kim Streatfied and Åke Wahlin...
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Abstract

Copyright

COPYRIGHT: © The Authors 2016 

References

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Kabir, ZN, Ferdous, T, Cederholm, T, Khanam, MA, Streatfied, K & Wahlin, Å (2006) Mini Nutritional Assessment of rural elderly people in Bangladesh: the impact of demographic, socio-economic and health factors. Public Health Nutrition 9, 968–974.

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This correction applies to the following article(s):

  • Mini Nutritional Assessment of rural elderly people in Bangladesh: the impact of demographic, socio-economic and health factors
  • Zarina Nahar Kabir, Tamanna Ferdous, Tommy Cederholm, Masuma Akter Khanam, Kim Streatfied, Åke Wahlin
  • Published online by Cambridge University Press: 01 December 2006, pp. 968-974
  • View abstract
    Objective

    In stating the Millennium Development Goals, the United Nations aims to halve malnutrition around the world by 2015. Nutritional status of the elderly population in low-income countries is seldom focused upon. The present study aimed to evaluate the magnitude of malnutrition among an elderly population in rural Bangladesh.

    Design and setting

    Data collection for a multidimensional cross-sectional study of community-based elderly people aged 60 years and over was conducted in a rural area in Bangladesh.

    Subjects

    Of 850 randomly selected elderly individuals, 625 participated in home interviews. Complete nutritional information was available for 457 individuals (mean age 69 ± 8 years, 55% female). Nutritional status was assessed using an adapted form of the Mini Nutritional Assessment (MNA) including body mass index (BMI). Age, sex, education, household expenditure on food and self-reported health problems were investigated as potential predictors of nutritional status.

    Results

    BMI < 18.5 kg m− 2, indicating chronic energy deficiency, was found in 50% of the population. MNA revealed a prevalence of 26% for protein–energy malnutrition and 62% for risk of malnutrition. Health problems rather than age had a negative impact on nutritional status. Level of education and food expenditure were directly associated with nutritional status.

    Conclusion

    In order to reduce world hunger by half in the coming decade, it is important to recognise that a substantial proportion of the elderly population, particularly in low-income countries, is undernourished.