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

• Main Authors: Silvia Stringhini (Author), Terrence E. Forrester (Author), Jacob Plange-Rhule (Author), Estelle V. Lambert (Author), Bharathi Viswanathan (Author), Walter Riesen (Author), Wolfgang Korte (Author), Naomi Levitt (Author), Liping Tong (Author), Lara R. Dugas (Author), David Shoham (Author), Ramon A. Durazo-Arvizu (Author), Amy Luke (Author), Pascal Bovet (Author)
• Format: Book
• Published: BMC, 2016-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s12889-016-3589-5; 1471-2458
• Keywords: Socioeconomic status; Noncommunicable diseases; Low and middle income countries; Smoking; Physical activity; Obesity; Public aspects of medicine; RA1-1270
• Source: BMC Public Health, Vol 16, Iss 1, Pp 1-10 (2016)

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.