Stringhini Silvia, Forrester Terrence E, Plange-Rhule Jacob, Lambert Estelle V, Viswanathan Bharathi, Riesen Walter, Korte Wolfgang, Levitt Naomi, Tong Liping, Dugas Lara R, Shoham David, Durazo-Arvizu Ramon A, Luke Amy, Bovet Pascal
University Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Biopôle 2, Route de la Corniche 10, 1010, Lausanne, Switzerland.
Tropical Medicine Research Institute, University of the West Indies, Mona, Kingston, Jamaica.
BMC Public Health. 2016 Sep 9;16(1):956. doi: 10.1186/s12889-016-3589-5.
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.
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).
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.
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.
在流行病学转变的不同阶段,社会经济地位(SES)与非传染性疾病风险因素(NCD-RFs)之间的关联可能有所不同。我们在一项纳入了具有不同社会经济发展水平人群的研究中,评估了NCD-RFs的社会模式。
社会经济地位、吸烟、身体活动、体重指数、血压、胆固醇和血糖的数据来自“模拟流行病学转变研究”(METS),五个地点(加纳、南非、牙买加、塞舌尔、美国)各有大约500名年龄在25至45岁之间的参与者。
这五个国家人群的NCD-RFs患病率存在差异(例如,加纳农村地区吸烟、肥胖和高血压的患病率较低),且存在性别差异(例如,在大多数人群中,男性吸烟和身体活动的患病率较高,女性肥胖的患病率较高)。在大多数人群中,吸烟和身体活动与低社会经济地位相关。社会经济地位与肥胖、高血压、胆固醇和血糖升高之间的关联因人群、性别和社会经济地位指标而异。例如,在塞舌尔和美国,血糖升高的患病率往往与低教育程度相关,而与财富无关。社会经济地位与肥胖和胆固醇之间的关联在一些人群中是正向的,而在另一些人群中是反向的。
总之,在流行病学转变的不同阶段,这些人群中NCD-RFs的分布存在社会模式,但社会经济地位与NCD-RFs之间的关联因风险因素、人群、性别和社会经济地位指标的不同而有很大差异。这些发现强调了在低收入和中等收入国家的非传染性疾病预防和控制项目中,评估和整合NCD-RFs社会模式的必要性。