RESUMO
BACKGROUND: A surge in pro-inflammatory markers, Il-6 and TNF-α, has been associated with type 2 diabetes mellitus (T2DM). However, there is no data on the dynamics of these markers in T2DM Ghanaian populations. The aim of this study was to determine variations in the levels of IL-6 and TNF-α in T2DM patients. This study also examined the associations of IL-6 and TNF-α with anthropometric measurement and the effect of co-morbidity with hypertension using rural and urban dwellers in the Ashanti region, Ghana. METHODS: A nested case-control design using participants aged 25-70 years consisting of 77 T2DM ± hypertension patients and 112 controls were selected from a larger study on Research on Obesity and Diabetes among African Migrants (RODAM). Anthropometric measurements, blood pressure and body fat percentage were measured. Fasting blood samples were analyzed for glucose, IL-6 and TNF-α levels. RESULTS: The median level of IL-6 was significantly higher (p < 0.0001) among rural dwellers compared to urban dwellers. Inversely, urban dwellers had significantly higher (p = 0.0424) median level of TNF-α compared to rural cases. No significant differences were observed in IL-6 (p = 0.3571) and TNF-α (p = 0.2581) among T2DM patients compared with T2DM ± hypertension patients. A weak negative correlation was found between IL-6 and BMI in urban T2DM. DISCUSSION: The average level of IL-6 was higher in rural T2DM participants compared with those in urban setting. However, higher levels of TNF-α was observed among the study participants with T2DM in urban settings compared to those of rural. In this study, we observed that co-morbidity of hypertension had no significant effect on the levels of IL-6 and TNF-α. We are of the opinion that higher physical activity levels among rural particpants and high obesity levels in urabn participants explain the observation but needs more numbers to validate. CONCLUSION: This study revealed that IL-6 levels were higher among rural dwellers than urban while TNF-α levels were higher in urban dwellers than rural in patients with T2DM. There was no association of body fat percentage and body mass index with IL-6 and TNF-α levels. Co-morbidity of hypertension with T2DM had no effect on IL-6 and TNF-α levels.
Assuntos
Diabetes Mellitus Tipo 2/sangue , Interleucina-6/sangue , Ocupações/estatística & dados numéricos , População Rural/estatística & dados numéricos , Fator de Necrose Tumoral alfa/sangue , População Urbana/estatística & dados numéricos , Adulto , Idoso , Análise de Variância , Índice de Massa Corporal , Estudos de Casos e Controles , Comorbidade , Diabetes Mellitus Tipo 2/epidemiologia , Metabolismo Energético , Feminino , Gana/epidemiologia , Humanos , Hipertensão/sangue , Masculino , Pessoa de Meia-Idade , Atividade Motora , Fatores de RiscoRESUMO
AIMS: To compare body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) as determinants of type 2 diabetes (T2DM) and determine optimal cut-offs in a sub-Saharan African population. METHODS: Data from the RODAM study including Ghanaians aged 25-70 living in rural Ghana, urban Ghana and Europe were used. Logistic regression was used to assess associations between BMI, WC, WHR and T2DM status, by sex and site. Area under the curve (AUC) were constructed to discriminate between indices and establish performance and cut-off values. RESULTS: WHR had the strongest association with T2DM in men and women across sites, except for rural men. The highest adjusted odds ratio (aOR) and AUC were in rural women for WHR (aOR = 2.09, 95%CI = 1.47-2.99; AUC = 0.71). Among migrants, WHR had higher AUCs compared with BMI (p < 0.01) and WC (p < 0.05). Cut-offs for BMI and WC in men were lower compared with the WHO reference across sites (WC: 85.4-93.7 vs 102 cm, BMI: 23.1-28.2 vs 30.0 kg/m2). CONCLUSIONS: WHR outperformed BMI and WC as anthropometric indices in relation to T2DM among Ghanaian migrants. The lower BMI and WC cut-offs for T2DM than WHO established standards, highlights the need for African specific cut-offs to avoid missing high risk populations.