Acta Scientific Clinical Case Reports

Research Article Volume 2 Issue 12

Spatial Modeling of Overweight and Obesity among Non-Pregnant Women of Reproductive Age in Malawi

Owen Paweni Loss Mtambo*

Department of Public Health, Kamuzu University of Health Sciences, Malawi

*Corresponding Author: Owen Paweni Loss Mtambo, Department of Public Health, Kamuzu University of Health Sciences, Malawi.

Received: October 25, 2021; Published: November 19, 2021

Abstract

  The prevalence of overweight (including obesity) among non-pregnant women of reproductive age (WRA) in Malawi substantially increased from 10% in 1992 to 21% in 2016. The main objective of this study was to assess significant factors of overweight (including obesity) among non-pregnant WRA in Malawi using spatial models implemented in R version 4.0.4. The 2015-16 Malawi Demographic and Health Survey (MDHS) datasets were used in this study. Significant determinants of overweight (including obesity) ranged from socio-demographic characteristics to sedentary lifestyle of non-pregnant WRA. Total number of children ever born had significant nonlinear effects on overweight (including obesity) among non-pregnant WRA. Furthermore, we observed significant structured spatial effects on childhood overweight (including obesity) among non-pregnant WRA. To achieve the sustainable development goals 2.2 and 3 (SDG 2.2 and SDG 3) by 2030 in Malawi, the existing nutrition programmes and nutrition policy makers in this country may as well consider interventions based on socio-demographic determinants and spatial variations presented in this paper.

Keywords: Bayesian Inference; Body Mass Index; Obesity; Overweight; Spatial Models; Women of Reproductive Age

References

  1. Obesity and overweight (2021).
  2. Nthenda PA and Kazambwe JF. “A multilevel analysis of overweight and obesity among non-pregnant women of reproductive age in Malawi: evidence from 2015-16 Malawi demographic and Health Survey”. International Health6 (2018): 496-506.
  3. NSO [Malawi] and ICF. “Malawi demographic and health survey 2015-16”. Zomba, Malawi, and Rockville, Maryland, USA. NSO and ICF (2017).
  4. UNICEF WFP. “Global framework for action”. United Nations Children’s Fund and World Food Program (2006).
  5. Sustainable development goals (2021).
  6. Scaling up nutrition in practice: effectively engaging multiple stakeholders (2014).
  7. Rue H and Martino S. “Implementing approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations: A manual for the INLA program”. Technical report, Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim (2009).
  8. Gelfand AE., et al. “Handbook of Spatial Statistics”. Chapman and Hall (2010).
  9. Yu Y and Havard R. “Bayesian inference for structured additive quantile regression models”. Norwegian University for Science and Technology (2009).
  10. R Core Team. “R: A language and environment for Statistical Computing”. R Foundation for Statistical Computing, Vienna, Austria (2017).
  11. Koenker R., et al. “Quantile smoothing splines”. Biometrika4 (1994): 673-680.
  12. Koenker R and Hallock KF. “Quantile Regression”. Journal of Economic Perspectives4 (1999): 143-156.
  13. Child growth standards: length/heightfor-age, weight-for-age, weight-for-length, weight-forheight and body mass index-for-age: methods and development Geneva (2006).
  14. Yu K and Moyeed RA. “Bayesian quantile regression”. Statistics and Probability Letters 54 (2001): 437-447.
  15. Oyedapo HA., et al. “Quartile regression methods for determination of factors associated with nutritional status of WRA in Nigeria”. Scientific African (2021): 4.
  16. Afolabi RF and Palamuleni ME. “Multilevel analysis of unhealthy bodyweight among women in Malawi: Does urbanisation matter?” PLoS ONE3 (2021): e0249289.
  17. Neupane SKCP and Doku DT. “Overweight and obesity among women: analysis of demographic and health survey data from 32 sub-Saharan countries”. BMC Public Health30 (2016).

Citation

Citation: Owen Paweni Loss Mtambo. “Spatial Modeling of Overweight and Obesity among Non-Pregnant Women of Reproductive Age in Malawi". Acta Scientific Clinical Case Reports 2.12 (2021): 38-48.

Copyright

Copyright: © 2021 Owen Paweni Loss Mtambo. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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