The Burden of Malnutrition among Adults Residing in Arba Minch Health and Demographic Surveillance Site (HDSS): A WHO STEPS Survey.
Journal
Journal of nutrition and metabolism
ISSN: 2090-0724
Titre abrégé: J Nutr Metab
Pays: United States
ID NLM: 101526296
Informations de publication
Date de publication:
2020
2020
Historique:
received:
10
07
2019
revised:
17
11
2019
accepted:
08
01
2020
entrez:
22
2
2020
pubmed:
23
2
2020
medline:
23
2
2020
Statut:
epublish
Résumé
Malnutrition is one of the main underlying risk factors for the deaths due to different diseases. The aim of this study was to assess the prevalence and factors associated with underweight and overweight among adults residing in Arba Minch Health and Demographic Surveillance Site (HDSS), Southern Ethiopia. A community-based cross-sectional survey was conducted from April to June 2017. The data collection procedures and 3,368 calculated sample size were based on the World Health Organization (WHO) STEPwise approach to Surveillance guideline. Using the surveillance data of Arba Minch HDSS, simple random sampling technique was implemented to identify individuals for the study. To assess the presence of association, the multinomial logistic regression model was used. The mean (SD) body mass index of the participants was 21.5 4.90 kg/m One in five adult individuals was malnourished in the study area. The double burden of malnutrition at the population level is becoming a challenge for this community, as both underweight and overweight are becoming prevalent. Sex, age, residency, educational status, current tobacco use, occupation, and wealth index were identified as important determinates of under- and overweight.
Sections du résumé
BACKGROUND
BACKGROUND
Malnutrition is one of the main underlying risk factors for the deaths due to different diseases. The aim of this study was to assess the prevalence and factors associated with underweight and overweight among adults residing in Arba Minch Health and Demographic Surveillance Site (HDSS), Southern Ethiopia.
METHODS
METHODS
A community-based cross-sectional survey was conducted from April to June 2017. The data collection procedures and 3,368 calculated sample size were based on the World Health Organization (WHO) STEPwise approach to Surveillance guideline. Using the surveillance data of Arba Minch HDSS, simple random sampling technique was implemented to identify individuals for the study. To assess the presence of association, the multinomial logistic regression model was used.
RESULTS
RESULTS
The mean (SD) body mass index of the participants was 21.5 4.90 kg/m
CONCLUSION
CONCLUSIONS
One in five adult individuals was malnourished in the study area. The double burden of malnutrition at the population level is becoming a challenge for this community, as both underweight and overweight are becoming prevalent. Sex, age, residency, educational status, current tobacco use, occupation, and wealth index were identified as important determinates of under- and overweight.
Identifiants
pubmed: 32082623
doi: 10.1155/2020/6986830
pmc: PMC7007928
doi:
Types de publication
Journal Article
Langues
eng
Pagination
6986830Informations de copyright
Copyright © 2020 Befikadu Tariku Gutema et al.
Déclaration de conflit d'intérêts
The authors declare that they have no conflicts of interest.
Références
Gastroenterol Clin North Am. 2010 Mar;39(1):1-7
pubmed: 20202574
Obes Rev. 2013 Dec;14(12):989-1005
pubmed: 23889851
Lancet. 2011 Feb 12;377(9765):557-67
pubmed: 21295846
Am J Clin Nutr. 2014 Dec;100(6):1617S-22S
pubmed: 25411303
FAO Food Nutr Pap. 2006;84:1-334
pubmed: 19172986
PLoS One. 2017 Sep 15;12(9):e0185024
pubmed: 28915262
BMJ. 2013 Oct 01;347:f5446
pubmed: 24473060
Lancet. 2014 Aug 30;384(9945):766-81
pubmed: 24880830
Eur J Public Health. 2004 Dec;14(4):390-4
pubmed: 15542875
J Nutr Health Aging. 2012 Jan;16(1):100-6
pubmed: 22238008
N Engl J Med. 2003 Apr 24;348(17):1625-38
pubmed: 12711737
Obes Res. 2001 Jan;9(1):21-31
pubmed: 11346664
Obesity (Silver Spring). 2007 Nov;15(11):2797-808
pubmed: 18070771
Am J Clin Nutr. 2009 Aug;90(2):369-76
pubmed: 19515733
Epidemiol Rev. 2007;29:29-48
pubmed: 17478442
Int J Womens Health. 2017 May 26;9:379-389
pubmed: 28603432
J Nutr. 2001 Jul;131(7):1952-8
pubmed: 11435513
J Geriatr Cardiol. 2017 May;14(5):369-374
pubmed: 28630616
Mol Cell Endocrinol. 2010 Mar 25;316(2):104-8
pubmed: 19628019
BMC Public Health. 2009 Mar 25;9:88
pubmed: 19320986
BMC Res Notes. 2015 Nov 14;8:680
pubmed: 26578211
Obes Rev. 2008 Jul;9(4):297-311
pubmed: 18179616
World Health Organ Tech Rep Ser. 1995;854:1-452
pubmed: 8594834
Lancet. 2016 Apr 2;387(10026):1377-1396
pubmed: 27115820
N Engl J Med. 2011 Feb 24;364(8):719-29
pubmed: 21345101
PLoS One. 2014 Nov 21;9(11):e112790
pubmed: 25415321
Glob Health Action. 2016 Jul 04;9:30204
pubmed: 27388539
JAMA. 2012 Feb 1;307(5):491-7
pubmed: 22253363
Geriatr Gerontol Int. 2015 Jan;15(1):72-9
pubmed: 24418288
Eur J Public Health. 2018 Apr 1;28(2):295-300
pubmed: 29036436
N Engl J Med. 2010 Dec 2;363(23):2211-9
pubmed: 21121834
Stroke. 2004 Apr;35(4):831-6
pubmed: 15001798
Singapore Med J. 2009 Aug;50(8):804-13
pubmed: 19710981
BMC Cardiovasc Disord. 2012 Nov 28;12:113
pubmed: 23186560
Lancet. 2009 Mar 28;373(9669):1083-96
pubmed: 19299006