Obesity phenotypes in urban and rural Cameroonians: a cross-sectional study

被引:16
|
作者
Mbanya, Vivian N. [1 ]
Echouffo-Tcheugui, Justin B. [2 ,3 ]
Akhtar, Hussain [1 ]
Mbanya, Jean-Claude [4 ]
Kengne, Andre P. [5 ,6 ,7 ]
机构
[1] Univ Oslo, Sect Int Hlth, Dept Community Med, Oslo, Norway
[2] Emory Univ, Rollins Sch Publ Hlth, Hubert Dept Global Hlth, Atlanta, GA 30322 USA
[3] MedStar Hlth Syst, Dept Med, Baltimore, MD 21239 USA
[4] Univ Yaounde I, Fac Med & Biomed Sci, Hlth Populat Transit HoPiT Res Grp, Yaounde, Cameroon
[5] South African Med Res Council, Noncommunicable Dis Res Unit, ZA-7505 Cape Town, Western Cape, South Africa
[6] Univ Cape Town, Dept Med, Groote Schuur Hosp, ZA-7925 Cape Town, South Africa
[7] Univ Sydney, George Inst Global Hlth, Sydney, NSW 2050, Australia
来源
DIABETOLOGY & METABOLIC SYNDROME | 2015年 / 7卷
关键词
METABOLICALLY HEALTHY OBESITY; BODY-COMPOSITION; DIABETES-MELLITUS; PART; POPULATION; PREVALENCE; HYPERTENSION; RISK;
D O I
10.1186/s13098-015-0016-5
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Despite the increasing prevalence of diabetes and other health consequences of obesity, little is known on the metabolic profile across categories of body mass index (BMI) among African populations. We therefore assessed the prevalence and distribution of body size phenotypes among urban and rural Cameroonians. Methods: Adults (n = 1628; 41% rural dwellers) aged 24-74 years in 1994 provided data on BMI and metabolic health, defined on the basis of elevated levels of blood pressure (BP); triglycerides, fasting plasma glucose (FPG), and insulin resistance as assessed with homeostasis model assessment (HOMA). Cross-classification of BMI categories and metabolic status (healthy/unhealthy) created six groups. Metabolic measures include elevated blood pressure; elevated triglycerides (>= 150 mg/dL or 1.69mmo/L), elevated fasting plasma glucose (>= 100 mg/dl or 5.6 mmol/L or documented use of antidiabetic medications), and elevated homeostasis model assessment of insulin resistance value (HOMA-IR > 90th percentile). Results: A total of 25.2% of participants were overweight yet metabolically healthy (< 1 abnormality) and 10.1% were obese yet metabolically healthy, whereas 1.4% were normal weight but metabolically abnormal (>= 2 abnormalities). Proportion of rural dwellers with abnormal metabolic phenotype across normal-weight, overweight, obese categories were 2.9%, 0.8% and 0.3%, respectively; and 0.3%, 2.2% and 2.6% among urban dwellers. Metabolically abnormal participants increased linearly across BMI categories (p < 0.001). BMI categories and metabolic status interacted to affect age, gender, BMI, FPG, triglycerides, and BP status distributions (all p < 0.04). Metabolic status and residence (rural vs. urban) interacted to influence the distribution across BMI categories of diastolic BP, BMI, waist circumference, fasting and 2-hour glucose, triglycerides, HOMA-IR, and prevalent diabetes (all p < 0.005), with differential occurrence of BMI categories and metabolic status among urban and rural participants. Conclusions: Metabolic healthy obesity and obesity with a favorable cardiometabolic profile are not uncommon among Cameroonians, including among rural dwellers; but the latter group tended to have a better profile.
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页数:8
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