Table 2. Some of the reviewed studies on effects of obesity on metabolic syndrome.

Type II DM: Type II diabetes mellitus; HDL-C: High-density lipoprotein-C.

Author/year of publication	Type of study	Purpose of the study	Results/conclusion
Agardh et al./2011 [3]	Systemic and meta-analysis	To determine the relationship between the incidence of type II DM and socioeconomic position	The low socio-economic position was associated with the risk of coming down with type II DM in lower-income and high-middle and countries and overall
Goedecke et al./2017 [13]	Clinical review	To determine the prevalence of type II DM among women in sub-Saharan Africa (SSA)	Women in SSA are more insulin resistant than the Caucasian and have been projected to have the highest rate of Type II DM.
Abdulnour et al./2012 [20]	Observational longitudinal study	To find out the transformation that occurs in the body composition and cardiometabolic profile when transitioning menopausal stage	Visceral fat, fasting blood sugar, central fat mass, and HDL-C (0.05>p<0.01) were all noticed to increase markedly in peri and post-menopausal women after three years of the study.
Ogbera /2010 [37]	Observational studies	Determining the prevalence of metabolic syndrome and to note the gender characteristics similarity among patients with Type II DM	There’s a high prevalence of Mets in Type II DM in both genders and central obesity was the commonest occurring defining indices while the least is elevated triglyceride levels
Ford et al./2002 [45]	Report	Finding how common metabolic syndrome is among adults in the US	Prevalence increases with aging with a peak of around 20-29 years. African Americans had a 57% prevalence higher than men likewise among Mexican Americans with the women having a 26% higher prevalence than men.
Fezeu et al./2007 [48]	Observational study	To know how common metabolic syndrome is and find the link between components of the metabolic syndrome and central obesity and HOMA insulin resistance index.	Increase in prevalence of metabolic syndrome in both gender in those living in an urban area but none in the rural area. None of the subjects had all four components. Most had two combinations of three components.