High Prevalence of Overweight/Obesity in Urban Sri Lanka: Findings from the Colombo Urban Study.

Noel Somasundaram, Ishara Ranathunga, Kavinga Gunawardana, Muneer Ahamed, Dileepa Ediriweera, C N Antonypillai, Nishan Kalupahana
Author Information
  1. Noel Somasundaram: Diabetes and Endocrine Unit, National Hospital of Sri Lanka, Colombo, Sri Lanka.
  2. Ishara Ranathunga: Diabetes and Endocrine Unit, National Hospital of Sri Lanka, Colombo, Sri Lanka. ORCID
  3. Kavinga Gunawardana: Diabetes and Endocrine Unit, National Hospital of Sri Lanka, Colombo, Sri Lanka.
  4. Muneer Ahamed: Diabetes and Endocrine Unit, Teaching Hospital, Kandy, Sri Lanka.
  5. Dileepa Ediriweera: Faculty of Medicine, University of Kelaniya, Sri Lanka.
  6. C N Antonypillai: Diabetes and Endocrine Unit, Teaching Hospital, Kandy, Sri Lanka.
  7. Nishan Kalupahana: Department of Physiology, Faculty of Medicine, University of Peradeniya, Sri Lanka.

Abstract

BACKGROUND: South Asian countries face a double burden of malnutrition characterized by high prevalence of underweight, overweight, and obesity. Understanding the distribution of this public health problem is important to tailor targeted interventions for communities. The objective of the current study was to find out the prevalence of obesity in urban Sri Lanka and to identify sociodemographic factors associated with it.
METHODS: Adult males and females residing in an urban government division of the Colombo District in Sri Lanka were included in this study (Colombo Urban Study). Stratified simple random sampling was used to select a sample of 463 from the total population. Sociodemographic data using an interviewer-administered questionnaire, anthropometric measurements, and serum samples were obtained for investigations.
RESULTS: When the global BMI cutoffs were applied, the community prevalences of underweight, normal weight, overweight, and obesity were 7.7%, 39.6%, 37.0%, and 15.8%, respectively. When the Asian BMI cutoffs were applied, the respective prevalences were 7.7%, 26.8%, 34.3%, and 31.2%. The community prevalence for abdominal obesity was 58.1% when using Asian cutoffs. Females had a higher prevalence of both obesity and abdominal obesity. There was an ethnic difference in obesity rates with Moors having the highest rates (65.5%) followed by Sinhalese (52.3%) and Tamils (40.2%). The highest obesity prevalence was observed in the most educated group. Multiple regression analysis showed that high BMI was associated with female gender and family history of hypertension. Serum LDL negatively associated with BMI while the strength of this relationship was impacted by serum HBA1c levels. Finally, serum triglyceride level showed positive association with BMI, and the effect was more marked in Moors compared to Sinhalese.
CONCLUSION: Two-thirds of adults in the studied urban population were overweight or obese. This highlights the urgent need for interventions to curb this epidemic. The gender, ethnic differences in obesity, its associations with educational status, and the interactions with metabolic comorbidities indicate that these interventions may need to be targeted towards different groups in the population.

References

  1. Lancet. 2004 Jan 10;363(9403):157-63 [PMID: 14726171]
  2. Obes Rev. 2013 Dec;14(12):989-1005 [PMID: 23889851]
  3. WHO South East Asia J Public Health. 2016 Apr;5(1):22-26 [PMID: 28604393]
  4. Int J Hypertens. 2011;2011:821971 [PMID: 21629873]
  5. BMC Public Health. 2016 Aug 18;16(1):816 [PMID: 27538686]
  6. Lancet. 2005 Sep 24-30;366(9491):1059-62 [PMID: 16182882]
  7. Indian J Med Res. 2015 Aug;142(2):139-50 [PMID: 26354211]
  8. J Clin Endocrinol Metab. 2004 Jun;89(6):2522-5 [PMID: 15181019]
  9. N Engl J Med. 2007 Jan 18;356(3):213-5 [PMID: 17229948]
  10. J Epidemiol Community Health. 2007 Sep;61(9):802-9 [PMID: 17699536]
  11. BMC Public Health. 2010 Oct 29;10:654 [PMID: 21029475]
  12. Int J Equity Health. 2015 Jan 17;14:6 [PMID: 25595202]
  13. Lancet. 2016 Apr 2;387(10026):1377-1396 [PMID: 27115820]
  14. Nutr Res Rev. 2012 Jun;25(1):130-41 [PMID: 22588363]
  15. Circulation. 2007 Oct 23;116(17):1942-51 [PMID: 17965405]
  16. BMC Public Health. 2017 Jan 5;17(1):27 [PMID: 28056898]
  17. Obes Rev. 2010 Nov;11(11):751-6 [PMID: 20406417]

MeSH Term

Adolescent
Adult
Body Mass Index
Comorbidity
Educational Status
Female
Humans
Male
Middle Aged
Obesity
Prevalence
Risk Assessment
Risk Factors
Sex Distribution
Sex Factors
Sri Lanka
Urban Health
Young Adult

Word Cloud

Created with Highcharts 10.0.0obesityprevalenceBMIAsianoverweightinterventionsurbanSriassociatedColomboUrbanpopulationserumcutoffshighunderweighttargetedstudyLankaStudyusingappliedcommunityprevalences77%8%3%2%abdominalethnicratesMoorshighestSinhaleseshowedgenderneedBACKGROUND:SouthcountriesfacedoubleburdenmalnutritioncharacterizedUnderstandingdistributionpublichealthproblemimportanttailorcommunitiesobjectivecurrentfindidentifysociodemographicfactorsitMETHODS:AdultmalesfemalesresidinggovernmentdivisionDistrictincludedStratifiedsimplerandomsamplingusedselectsample463totalSociodemographicdatainterviewer-administeredquestionnaireanthropometricmeasurementssamplesobtainedinvestigationsRESULTS:globalnormalweight396%370%15respectivelyrespective263431581%Femaleshigherdifference655%followed52Tamils40observededucatedgroupMultipleregressionanalysisfemalefamilyhistoryhypertensionSerumLDLnegativelystrengthrelationshipimpactedHBA1clevelsFinallytriglyceridelevelpositiveassociationeffectmarkedcomparedCONCLUSION:Two-thirdsadultsstudiedobesehighlightsurgentcurbepidemicdifferencesassociationseducationalstatusinteractionsmetaboliccomorbiditiesindicatemaytowardsdifferentgroupsHighPrevalenceOverweight/ObesityLanka:Findings

Similar Articles

Cited By