The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS)

dc.contributor.authorStringhini, Silvia
dc.contributor.authorForrester, Terrence E
dc.contributor.authorPlange-Rhule, Jacob
dc.contributor.authorLambert, Estelle V
dc.contributor.authorViswanathan, Bharathi
dc.contributor.authorRiesen, Walter
dc.contributor.authorKorte, Wolfgang
dc.contributor.authorLevitt, Naomi
dc.contributor.authorTong, Liping
dc.contributor.authorDugas, Lara R
dc.contributor.authorShoham, David
dc.contributor.authorDurazo-Arvizu, Ramon A
dc.contributor.authorLuke, Amy
dc.contributor.authorBovet, Pascal
dc.date.accessioned2021-10-08T06:54:50Z
dc.date.available2021-10-08T06:54:50Z
dc.date.issued2016
dc.description.abstractAbstract Background Associations between socioeconomic status (SES) and risk factors for noncommunicable diseases (NCD-RFs) may differ in populations at different stages of the epidemiological transition. We assessed the social patterning of NCD-RFs in a study including populations with different levels of socioeconomic development. Methods Data on SES, smoking, physical activity, body mass index, blood pressure, cholesterol and glucose were available from the Modeling the Epidemiologic Transition Study (METS), with about 500 participants aged 25–45 in each of five sites (Ghana, South Africa, Jamaica, Seychelles, United States). Results The prevalence of NCD-RFs differed between these populations from five countries (e.g., lower prevalence of smoking, obesity and hypertension in rural Ghana) and by sex (e.g., higher prevalence of smoking and physical activity in men and of obesity in women in most populations). Smoking and physical activity were associated with low SES in most populations. The associations of SES with obesity, hypertension, cholesterol and elevated blood glucose differed by population, sex, and SES indicator. For example, the prevalence of elevated blood glucose tended to be associated with low education, but not with wealth, in Seychelles and USA. The association of SES with obesity and cholesterol was direct in some populations but inverse in others. Conclusions In conclusion, the distribution of NCD-RFs was socially patterned in these populations at different stages of the epidemiological transition, but associations between SES and NCD-RFs differed substantially according to risk factor, population, sex, and SES indicator. These findings emphasize the need to assess and integrate the social patterning of NCD-RFs in NCD prevention and control programs in LMICs.
dc.identifier.apacitationStringhini, S., Forrester, T. E., Plange-Rhule, J., Lambert, E. V., Viswanathan, B., Riesen, W., ... Bovet, P. (2016). The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS). <i>BMC Public Health</i>, 16(1), 174 - 177. http://hdl.handle.net/11427/34351en_ZA
dc.identifier.chicagocitationStringhini, Silvia, Terrence E Forrester, Jacob Plange-Rhule, Estelle V Lambert, Bharathi Viswanathan, Walter Riesen, Wolfgang Korte, et al "The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS)." <i>BMC Public Health</i> 16, 1. (2016): 174 - 177. http://hdl.handle.net/11427/34351en_ZA
dc.identifier.citationStringhini, S., Forrester, T.E., Plange-Rhule, J., Lambert, E.V., Viswanathan, B., Riesen, W., Korte, W. & Levitt, N. et al. 2016. The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS). <i>BMC Public Health.</i> 16(1):174 - 177. http://hdl.handle.net/11427/34351en_ZA
dc.identifier.issn1471-2458
dc.identifier.ris TY - Journal Article AU - Stringhini, Silvia AU - Forrester, Terrence E AU - Plange-Rhule, Jacob AU - Lambert, Estelle V AU - Viswanathan, Bharathi AU - Riesen, Walter AU - Korte, Wolfgang AU - Levitt, Naomi AU - Tong, Liping AU - Dugas, Lara R AU - Shoham, David AU - Durazo-Arvizu, Ramon A AU - Luke, Amy AU - Bovet, Pascal AB - Abstract Background Associations between socioeconomic status (SES) and risk factors for noncommunicable diseases (NCD-RFs) may differ in populations at different stages of the epidemiological transition. We assessed the social patterning of NCD-RFs in a study including populations with different levels of socioeconomic development. Methods Data on SES, smoking, physical activity, body mass index, blood pressure, cholesterol and glucose were available from the Modeling the Epidemiologic Transition Study (METS), with about 500 participants aged 25–45 in each of five sites (Ghana, South Africa, Jamaica, Seychelles, United States). Results The prevalence of NCD-RFs differed between these populations from five countries (e.g., lower prevalence of smoking, obesity and hypertension in rural Ghana) and by sex (e.g., higher prevalence of smoking and physical activity in men and of obesity in women in most populations). Smoking and physical activity were associated with low SES in most populations. The associations of SES with obesity, hypertension, cholesterol and elevated blood glucose differed by population, sex, and SES indicator. For example, the prevalence of elevated blood glucose tended to be associated with low education, but not with wealth, in Seychelles and USA. The association of SES with obesity and cholesterol was direct in some populations but inverse in others. Conclusions In conclusion, the distribution of NCD-RFs was socially patterned in these populations at different stages of the epidemiological transition, but associations between SES and NCD-RFs differed substantially according to risk factor, population, sex, and SES indicator. These findings emphasize the need to assess and integrate the social patterning of NCD-RFs in NCD prevention and control programs in LMICs. DA - 2016 DB - OpenUCT DP - University of Cape Town IS - 1 J1 - BMC Public Health LK - https://open.uct.ac.za PY - 2016 SM - 1471-2458 T1 - The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS) TI - The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS) UR - http://hdl.handle.net/11427/34351 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/34351
dc.identifier.vancouvercitationStringhini S, Forrester TE, Plange-Rhule J, Lambert EV, Viswanathan B, Riesen W, et al. The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS). BMC Public Health. 2016;16(1):174 - 177. http://hdl.handle.net/11427/34351.en_ZA
dc.language.isoeng
dc.publisher.departmentDepartment of Medicine
dc.publisher.facultyFaculty of Health Sciences
dc.sourceBMC Public Health
dc.source.journalissue1
dc.source.journalvolume16
dc.source.pagination174 - 177
dc.source.urihttps://dx.doi.org/10.1186/s12889-016-3589-5
dc.subject.otherHypertension
dc.subject.otherLow and middle income countries
dc.subject.otherNoncommunicable diseases
dc.subject.otherObesity
dc.subject.otherPhysical activity
dc.subject.otherRisk factors
dc.subject.otherSmoking
dc.subject.otherSocioeconomic status
dc.subject.otherAdult
dc.subject.otherBlood Pressure
dc.subject.otherCholesterol
dc.subject.otherChronic Disease
dc.subject.otherDeveloping Countries
dc.subject.otherEpidemiologic Studies
dc.subject.otherExercise
dc.subject.otherFemale
dc.subject.otherHumans
dc.subject.otherHypertension
dc.subject.otherMale
dc.subject.otherMiddle Aged
dc.subject.otherObesity
dc.subject.otherPrevalence
dc.subject.otherRisk Factors
dc.titleThe social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS)
dc.typeJournal Article
uct.type.publicationResearch
uct.type.resourceJournal Article
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
StringhiniSilvia_social_patterni_2016.pdf
Size:
862.38 KB
Format:
Adobe Portable Document Format
Description:
Collections