Prevalence and Determinants of Adult Under-nutrition in Botswana

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2014 Jul 24

PMID 25054546

Citations 24

Authors

Gobopamang Letamo

Kannan Navaneetham

Affiliations

Soon will be listed here.

Abstract

Background: To estimate the prevalence and determinants of adult under-nutrition in Botswana.

Methods: A cross-sectional survey was conducted where a nationally representative sample of people aged 20 to 49 years was used for the analysis. The outcome measure of under-nutrition was measured as BMI<18.5 kg/m2.

Results: Of the total sample, 19.5% of males and 10.1% of females were underweight (BMI<18.5 kg/m2). The wealth index showed that 30.9% of the adult population with low a BMI belongs to the poorest 20% of the households while only 9.6% comprised of the richest 20% of the households. Results from logistic regression analysis indicated that both adult men and women who had no education and belonged to the low socioeconomic group had a statistically significant association with low BMI. Among the female adult population, being young and not having watched TV at least once a week were significantly associated with low BMI. For the male adult population, being unmarried was significantly associated with low BMI.

Conclusions: Programme interventions aimed at improving the nutritional status of adults can use these findings to make appropriate policy, to establish baselines and study nutritional changes over time and its covariates.

Citing Articles

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References

Scott A, Ejikeme C, Clottey E, Thomas J . Obesity in sub-Saharan Africa: development of an ecological theoretical framework. Health Promot Int. 2012; 28(1):4-16. DOI: 10.1093/heapro/das038. View

. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser. 1995; 854:1-452. View

Shetty P, James W . Body mass index. A measure of chronic energy deficiency in adults. FAO Food Nutr Pap. 1994; 56:1-57. View

Filmer D, Pritchett L . Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India. Demography. 2001; 38(1):115-32. DOI: 10.1353/dem.2001.0003. View

Letamo G . The prevalence of, and factors associated with, overweight and obesity in Botswana. J Biosoc Sci. 2010; 43(1):75-84. DOI: 10.1017/S0021932010000519. View

Mora J, Nestel P . Improving prenatal nutrition in developing countries: strategies, prospects, and challenges. Am J Clin Nutr. 2000; 71(5 Suppl):1353S-63S. DOI: 10.1093/ajcn/71.5.1353s. View

Mendelson R, Dollard D, Hall P, Zarrabi S, Desjardin E . The impact of the Healthiest Babies Possible Program on maternal diet and pregnancy outcome in underweight and overweight clients. J Can Diet Assoc. 1991; 52(4):229-34. View

Ziraba A, Fotso J, Ochako R . Overweight and obesity in urban Africa: A problem of the rich or the poor?. BMC Public Health. 2009; 9:465. PMC: 2803188. DOI: 10.1186/1471-2458-9-465. View

Dharmalingam A, Navaneetham K, Krishnakumar C . Nutritional status of mothers and low birth weight in India. Matern Child Health J. 2009; 14(2):290-8. DOI: 10.1007/s10995-009-0451-8. View

10.

Bleich S, Cutler D, Murray C, Adams A . Why is the developed world obese?. Annu Rev Public Health. 2008; 29:273-95. DOI: 10.1146/annurev.publhealth.29.020907.090954. View

11.

Patton G, Selzer R, Coffey C, Carlin J, Wolfe R . Onset of adolescent eating disorders: population based cohort study over 3 years. BMJ. 1999; 318(7186):765-8. PMC: 27789. DOI: 10.1136/bmj.318.7186.765. View

12.

. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2001; 894:i-xii, 1-253. View

13.

Pi-Sunyer F . Medical hazards of obesity. Ann Intern Med. 1993; 119(7 Pt 2):655-60. DOI: 10.7326/0003-4819-119-7_part_2-199310011-00006. View

14.

Nube M, Van Den Boom G . Gender and adult undernutrition in developing countries. Ann Hum Biol. 2003; 30(5):520-37. DOI: 10.1080/0301446031000119601. View

15.

Takimoto H, Yoshiike N, Kaneda F, Yoshita K . Thinness among young Japanese women. Am J Public Health. 2004; 94(9):1592-5. PMC: 1448499. DOI: 10.2105/ajph.94.9.1592. View

16.

Abrams B, Newman V . Small-for-gestational-age birth: maternal predictors and comparison with risk factors of spontaneous preterm delivery in the same cohort. Am J Obstet Gynecol. 1991; 164(3):785-90. DOI: 10.1016/0002-9378(91)90516-t. View

17.

Russell J, Mira M, Allen B, Stewart P, Vizzard J, Arthur B . Protein repletion and treatment in anorexia nervosa. Am J Clin Nutr. 1994; 59(1):98-102. DOI: 10.1093/ajcn/59.1.98. View

18.

Turner J, Bulsara M, McDermott B, Byrne G, Prince R, Forbes D . Predictors of low bone density in young adolescent females with anorexia nervosa and other dieting disorders. Int J Eat Disord. 2001; 30(3):245-51. DOI: 10.1002/eat.1081. View

19.

Nandi C, Nelson M . Maternal pregravid weight, age, and smoking status as risk factors for low birth weight births. Public Health Rep. 1992; 107(6):658-62. PMC: 1403717. View

20.

Must A, Spadano J, Coakley E, Field A, Colditz G, Dietz W . The disease burden associated with overweight and obesity. JAMA. 1999; 282(16):1523-9. DOI: 10.1001/jama.282.16.1523. View