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The anthropometric status of elderly women in rural Ghana and factors associated with low body mass index

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The journal of nutrition, health & aging

Abstract

Objectives

To describe the anthropometric and physical status of a sample of elderly women in rural Ghana and examine factors associated with a low body mass index (BMI).

Design

A cross-sectional survey.

Setting

Two rural villages in Ashanti Region, Ghana.

Participants

Fifty-nine elderly women aged 60 to 92 years.

Measurements

The weight, height, half armspan and mid-upper arm circumference (MUAC) of each woman was measured; body mass index (BMI) and body mass for armspan (BMA) were calculated. The state of each woman’s teeth and visual acuity was assessed. Data on food security, eating habits and socio-economic status were collected by questionnaire.

Results

41% (95%CI 27.8, 53.6) of women were underweight and 16.9% (95%CI 7.18, 26.8) were overweight or obese. Factors associated with a low BMI (<18.5 kg/m2) were: age (P=0.001), chewing tobacco (P=0.002), drinking alcohol (P=0.012), a visual acuity score of <30% (P=0.038), using a walking aid (P=0.016) and the number of children who gave the women cash (P=0.005). BMI was strongly positively correlated with BMA (r=0.999, P<0.001) and with MUAC (r=0.91, P<0.001), and a BMI of 18.5 was equivalent to a MUAC of about 23cm.

Conclusion

Elderly women in Ghana with poor teeth and eyesight are at risk of undernutrition. Measurements of MUAC, which is simple, or BMA, which is based on weight and half armspan and is more easily measured and calculated than height and BMI, could be used to identify undernourished elderly women in rural Africa.

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References

  1. UN [United Nations], (2006) Population Ageing Wallchart. United Nations Population Division: New York

    Google Scholar 

  2. Solomons NW (2000) Demographic and nutritional trends among the elderly in developed and developing regions. Eur J Clin Nutr 54Suppl 3: S2–14.

    Article  PubMed  Google Scholar 

  3. United States Census Bureau (2010) International Data Base. 2010 January 2011]; Available from: http://www.census.gov/ipc/www/idb/.

  4. Mba CJ (2010) Population ageing in Ghana: research gaps and the way forward. J Aging Res 2010: 672157.

    PubMed  Google Scholar 

  5. UN [United Nations], (2002) Gender Dimensions of Aging. United Nations: New York

    Google Scholar 

  6. Tayie F, Adjetey-Sorsey E, Armah J, Busolo D, Imaya E (2004) Prevalence of undernutrition among elderly persons in Accra. Ghana Med J 38: 51–55.

    Google Scholar 

  7. Lwanga SK, Lemeshow S (1991) Sample size determination in health studies. A practical manual. World Health Organization, Geneva

    Google Scholar 

  8. Hodkinson HM (1972) Evaluation of a mental test score for assessment of mental impairment in the elderly. Age Ageing 1:233–238.

    Article  PubMed  CAS  Google Scholar 

  9. Radimer KL, Olson CM, Campbell CC (1990) Development of indicators to assess hunger. J Nutr 120Suppl 11:1544–1548.

    PubMed  Google Scholar 

  10. Ismail J, Manandhar M, (1999) Belter nutrition for elderly people: assessment and action. HelpAge International and the London School of Hygiene and Tropical Medicine and Hygiene: London

    Google Scholar 

  11. Bailey KV, Ferro-Luzzi A (1995) Use of body mass index of adults in assessing individual and community nutritional status. Bull World Health Organ 73: 673–680.

    PubMed  CAS  Google Scholar 

  12. Rabe B, Thamrin M, Gross R, Solomons N, Schultink W (1996) Body mass index of the elderly derived from height and from armspan. Asia Pac J Clin Nutr 5: 79–83.

    Google Scholar 

  13. Kimokoti RW, Hamer DH (2008) Nutrition, health, and aging in sub-Saharan Africa. Nutr Rev 66: 611–623.

    Article  PubMed  Google Scholar 

  14. Chilitna DM, Ismail SJ (1998) Anthropometric characteristics of older people in rural Malawi. Eur J Clin Nutr 52: 643–649.

    Article  Google Scholar 

  15. Pieterse S, Manandhar M, Ismail S (1998) The nutritional status of older Rwandan refugees. Public Health Nutr 1:259–264.

    Article  PubMed  CAS  Google Scholar 

  16. Kikaftmda JK, Lutkwago FB (2005) Nutritional status and functional ability of the elderly aged 60 to 90 years in the Mpigi district of central Uganda. Nutrition 21: 59–66.

    Article  Google Scholar 

  17. Bovet P, Ross AG, Gervasoni JP, Mkamba M, Mtasiwa Dm et al. (2002) Distribution of blood pressure, body mass index and smoking habits in the urban population of Dar es Salaam, Tanzania, and associations with socioeconomic status. Int J Epidemiol 31: 240–247.

    Article  PubMed  Google Scholar 

  18. Lieber CS (1988) The influence of alcohol on nutritional status. Nutr Rev 46:241–254.

    Article  PubMed  CAS  Google Scholar 

  19. Jacobs DR, Jr., Gottenborg S (1981) Smoking and weight: the Minnesota Lipid Research Clinic. Am J Public Health 71: 391–396.

    Article  PubMed  Google Scholar 

  20. Walker D, Beauchene RE (1991) The relationship of loneliness, social isolation, and physical health to dietary adequacy of independently living elderly. J Am Diet Assoc 91: 300–304.

    PubMed  CAS  Google Scholar 

  21. Schlenker ED (1993) Nutrition in Aging. 2nd ed. ed Macmillan, New York

    Google Scholar 

  22. Apt NA (1997). Ageing in Africa, in Ageing and Health Programme. Report to the World Health Organization. 1997, World Health Oiganization, Geneva.

    Google Scholar 

  23. Marx MS, Werner P, Cohen-Mansfield J, Feldman R (1992) The relationship between low vision and performance of activities of daily living in nursing home residents. J Am Geriatr Soc 40: 1018–1020.

    PubMed  CAS  Google Scholar 

  24. Payette H, Gray-Donald K, Cyr R, Boutier V (1995) Predictors of dietary intake in a functionally dependent elderly population in the community. Am J Public Health 85: 677–683.

    Article  PubMed  CAS  Google Scholar 

  25. Help Age International, (2008) Age and security: how social pensions can deliver effective aid to poor older people and their families. HelpAge International: London

    Google Scholar 

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Correspondence to B. Blankson.

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Blankson, B., Hall, A. The anthropometric status of elderly women in rural Ghana and factors associated with low body mass index. J Nutr Health Aging 16, 881–886 (2012). https://doi.org/10.1007/s12603-012-0065-5

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  • DOI: https://doi.org/10.1007/s12603-012-0065-5

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