Logo-hpp
Submitted: 08 Oct 2019
Accepted: 30 Mar 2020
ePublished: 12 Jul 2020
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - Firefox Plugin)

Health Promot Perspect. 2020;10(3): 238-243.
doi: 10.34172/hpp.2020.37
  Abstract View: 93
  PDF Download: 58
  Full Text View: 16

Original Article

Mapping the relative risk of weight disorders in children and adolescents across provinces of Iran: the CASPIAN-V study

Marzieh Nasr 1 ORCID logo, Mohammadali Pourmirzaei 2, Mohammad Esmaeil Motlagh 3, Ramin Heshmat 4, Mostafa Qorbani 5, Roya Kelishadi 2 * ORCID logo

1 Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
2 Pediatrics Department, Child Growth and Development Research Center, Research Institute for Primordial Prevention of NonCommunicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
3 Pediatrics Department, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
4 Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
5 Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
*Corresponding Author: Roya Kelishadi, Email: roya.kelishadi@gmail.com

Abstract

Background: This study aimed to find possible spatial variation in children’s weight disorders and in predicting the spatial distribution.

Methods: The study population of this ecological study consisted of 7-18-year-old students living in 30 provinces of Iran. We used Besag, York and Mollie (BYM) model, a Bayesian model, to study the relative risk (RR) of underweight and excess weight (overweight and obese). The model was fitted to data using OpenBUGS (3.2.1) software.

Results: The highest RR of underweight was found in southeastern provinces. Whereas, the highest RR of excess weight was documented in northern, northwestern and capital provinces.Sistan-Balouchestan (RR=1.973; Bayesian confidence interval [BCI]: 1.682, 2.289), Hormozgan(RR=1.482; BCI: 1.239, 1.749), South Khorasan (RR=1.422; BCI: 1.18, 1.687) and Kerman(RR=1.413; BCI: 1.18, 1.669) had the highest RR of underweight. Mazandaran (RR=1.366; BCI:1.172,1.581), Gilan (RR=1.346; BCI: 1.15,1.562), Tehran (RR=1.271; BCI: 1.086,1.472) and Alborz (RR=1.268; BCI: 1.079,1.475) provinces are high risk regions for excess weight.

Conclusion: The significant variations in geographical distribution of weight disorders are because of various sociodemographic and ethnic differences. The current findings should be considered in health policy making in different regions of the country.

Keywords: Geographic mapping, Relative risk, Underweight, Overweight, Children
First Name
 
Last Name
 
Email Address
 
Comments
 
Security code


Abstract View: 93

Your browser does not support the canvas element.


PDF Download: 58

Your browser does not support the canvas element.


Full Text View: 16

Your browser does not support the canvas element.