Skip to main content
×
Home
    • Aa
    • Aa

Maternal–child overweight/obesity and undernutrition in Kenya: a geographic analysis

  • Lisa R Pawloski (a1), Kevin M Curtin (a2), Constance Gewa (a1) and David Attaway (a2)
Abstract
AbstractObjective

The purpose of the study was to examine geographic relationships of nutritional status (BMI), including underweight, overweight and obesity, among Kenyan mothers and children.

Design

Spatial relationships were examined concerning BMI of the mothers and BMI-for-age percentiles of their children. These included spatial statistical measures of the clustering of segments of the population, in addition to inspection of co-location of significant clusters.

Setting

Rural and urban areas of Kenya, including the cities of Nairobi and Mombasa, and the Kisumu region.

Subjects

Mother–child pairs from Demographic and Health Survey data including 1541 observations in 2003 and 1592 observations in 2009. These mother–child pairs were organized into 399 locational clusters.

Results

There is extremely strong evidence that high BMI values exhibit strong spatial clustering. There were co-locations of overweight mothers and overweight children only in the Nairobi region, while both underweight mothers and children tended to cluster in rural areas. In Mombasa clusters of overweight mothers were associated with normal-weight children, while in the Kisumu region clusters of overweight children were associated with normal-weight mothers.

Conclusions

These findings show there is geographic variability as well as some defined patterns concerning the distribution of malnutrition among mothers and children in Kenya, and suggest the need for further geographic analyses concerning the potential factors which influence nutritional status in this population. In addition, the methods used in this research may be easily applied to other Demographic and Health Survey data in order to begin to understand the geographic determinants of health in low-income countries.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Maternal–child overweight/obesity and undernutrition in Kenya: a geographic analysis
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. Find out more about sending content to Dropbox.

      Maternal–child overweight/obesity and undernutrition in Kenya: a geographic analysis
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Google Drive account. Find out more about sending content to Google Drive.

      Maternal–child overweight/obesity and undernutrition in Kenya: a geographic analysis
      Available formats
      ×
Copyright
Corresponding author
*Corresponding author: Email lpawlosk@gmu.edu
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

2. BM Popkin & P Gordon-Larsen (2004) The nutrition transition: worldwide obesity dynamics and their determinants. Int J Obes Relat Metab Disord 28, Suppl. 3, S2S9.

5. M Pieters & HH Vorster (2008) Nutrition and hemostasis: a focus on urbanization in South Africa. Mol Nutr Food Res 52, 164172.

7. P Pasquet , LS Temgoua , F Melaman-Sego et al. (2003) Prevalence of overweight and obesity for urban adults in Cameroon. Ann Hum Biol 30, 551562.

8. G Ntandou , H Delisle , V Agueh et al. (2009) Abdominal obesity explains the positive rural–urban gradient in the prevalence of the metabolic syndrome in Benin, West Africa. Nutr Res 29, 180189.

9. EW Kimani-Murage , K Kahn , JM Pettifor et al. (2010) The prevalence of stunting, overweight and obesity, and metabolic disease risk in rural South African children. BMC Public Health 10, 158.

11. J Garrett & MT Ruel (2005) The coexistence of child undernutrition and maternal overweight: prevalence, hypotheses, and programme and policy implications. Matern Child Nutr 1, 185196.

12. P Kitsantas , LR Pawloski & KF Gaffney (2010) Maternal prepregnancy body mass index in relation to Hispanic preschooler overweight/obesity. Eur J Pediatr 169, 13611368.

13. CA Gewa (2010) Childhood overweight and obesity among Kenyan pre-school children: association with maternal and early child nutritional factors. Public Health Nutr 13, 496503.

14. PM Dietz , WM Callaghan , ME Cogswell et al. (2006) Combined effects of prepregnancy body mass index and weight gain during pregnancy on the risk of preterm delivery. Epidemiology 17, 170177.

15. RC Whitaker (2004) Predicting preschooler obesity at birth: the role of maternal obesity in early pregnancy. Pediatrics 114, e29e36.

17. J Holmes , S de Pineres & K Curtin (2006) Drugs, violence, and development in Colombia: a department-level analysis. Lat Am Polit Soc 48, 157184.

18. RL Hill & KM Curtin (2011) Solar powered light emitting diode distribution in developing countries: an assessment of potential distribution sites in rural Cambodia using network analyses. Soc Econ Plann Sci 45, 4857.

21. A Getis & JK Ord (1992) The analysis of spatial association by use of distance statistics. Geogr Anal 24, 189206.

25. AK Ziraba , JC Fotso & R Ochako (2009) Overweight and obesity in urban Africa: a problem of the rich or the poor? BMC Public Health 9, 465.

26. DL Christensen , J Eis , AW Hansen et al. (2008) Obesity and regional fat distribution in Kenyan populations: impact of ethnicity and urbanization. Ann Hum Biol 35, 232249.

27. LR Pawloski & P Kitsantas (2008) Classification tree analysis of stunting in Malian adolescent girls. Am J Hum Biol 20, 285291.

30. P Brink (1989) The fattening room among the Annang of Nigeria. Med Anthopol 12, 131143.

31. S Caprio , SR Daniels , A Drewnowski et al. (2008) Influence of race, ethnicity, and culture on childhood obesity: implications for prevention and treatment. Diabetes Care 31, 22112221.

32. M Franco , A Diezroux , T Glass et al. (2008) Neighborhood characteristics and availability of healthy foods in Baltimore. Am J Prev Med 35, 561567.

33. GK Singh , M Siahpush & MD Kogan (2010) Neighborhood socioeconomic conditions, built environments, and childhood obesity. Health Aff (Millwood) 29, 503512.

34. N Christakis & J Fowler (2007) The spread of obesity in a large social network over 32 years. N Engl J Med 357, 370379.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Public Health Nutrition
  • ISSN: 1368-9800
  • EISSN: 1475-2727
  • URL: /core/journals/public-health-nutrition
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 6
Total number of PDF views: 68 *
Loading metrics...

Abstract views

Total abstract views: 134 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 29th May 2017. This data will be updated every 24 hours.