The prevalence of glucose metabolism disturbances in Chinese Muslims and possible risk factors: a study from northwest China

Abstract

(PDM) in the Muslim population in northwest China, and discuss the risk factor. Materials and methods: According to the income and the population, we randomly selected 3 villages with stratified and cluster sampling. The subjects were residents ≥ 20 years of age, and were from families which have been local for > 3 generations. The questionnaire and oral glucose tolerance test (OGTT) were completed and analyzed for 660 subjects. Results: The prevalence of DM and PDM between the Han and Muslim populations were different (P = 0.041). And the prevalence were also different with respect to age in the Han (P < 0.001) and Muslim population (P < 0.001) respectively. Except for the 20-year-old age group the prevalence of DM and PDM within the Muslim population was higher than the Han (P = 0.013), we did not find any significant diffe rence for other age groups (P > 0.05). The intake of salt (P < 0.001) and edible oil (P < 0.001) in the Muslim population was higher than the Han, while cigarette smoking (P < 0.001) and alcohol consumption (P < 0.001) was lower. BMI (P < 0.001), age (P = 0.025), and smoking cigarettes (P = 0.011) were risk factors for DM and PDM, but alcohol consumption (P < 0.001) was a protective factor. Conclusions:In northwest China, the prevalence of DM was higher in the Muslim population, and it was special higher on the 20-year-old age compared to the Han. This might be explained by the potential genetic differences and poor dietary habits. RESUMOObjetivo: Avaliar a prevalência de diabetes melito (DM) e pré-diabetes melito (PDM) na população muçulmana no noroes te da China e discutir os fatores de risco. Materiais e métodos: Selecionamos três vilarejos de acordo com a renda e a população, usando uma amostra estratificada e por cluster. Os sujeitos eram residentes com ≥ 20 anos de idade e de famílias que estavam no local há mais de três gerações. Foram feitos e analisados um questionário e o teste de tolerância oral à glicose (TTOG) para 660 sujeitos. Resultados: A prevalência do DM e PDM entre as populações Han e muçulmana foi diferente (P = 0,041), e as prevalências também foram diferentes com relação à idade na população Han (P < 0,001) e muçulmana (P < 0,001), respectivamente. Exceto pela faixa etária de 20 anos de idade, a prevalência do DM e PDM na população muçul-mana foi maior do que na população Han (P = 0,013), não havendo diferenças significativas para as outras faixas etárias (P > 0,05). A ingestão de sal (P < 0,001) e óleos comestíveis (P < 0,001) na população muçulmana foi mais alta do que na população Han, enquanto o tabagismo (P < 0,001) e consumo de álcool (P < 0,001) foram mais baixos. O IMC (P < 0,001), a idade (P = 0,025) e o tabagismo (P = 0,011) foram fatores de risco para o DM e PDM, mas o consumo de álcool (P < 0,001) foi um fator protetor. Conclusões: No noroeste da China, a prevalência de DM é maior na população muçulmana e é especialmente mais alta na faixa etária de 20 anos de idade, quando comparada com a população Han. Isso pode ser explicado por diferenças genéticas...

Clinical Characteristics and Associated Risk Factors of Prediabetes in the Southwestern Region of Korea from 2010–2019

“…The higher distribution of subjects with C-IFG/IGT in this study is not similar to the distributions reported by studies performed in other Asian countries [12,16]. For example, I-IFG subtype is higher than other subtypes in Japan [17], whereas, in China, I-IGT subtype is the highest [18]. It is not clear whether this discrepancy reflects ethnic differences between studies, or whether this result was due to a small sample size.…”

Prevalence of Pre-Diabetes across Ethnicities: A Review of Impaired Fasting Glucose (IFG) and Impaired Glucose Tolerance (IGT) for Classification of Dysglycaemia

“…In total, there were 19 studies using the WHO 1999 classification, of which eight studies focused on Caucasians [ 44 , 47 , 76 , 77 , 79 , 80 , 81 , 84 ] and 11 on Asians [ 61 , 62 , 64 , 65 , 66 , 67 , 68 , 69 , 71 , 74 , 81 ] ( Table 2 ). Fourteen studies utilised the ADA 2003 classification, with seven Caucasian [ 44 , 47 , 75 , 77 , 78 , 79 , 80 ] and seven Asian studies [ 61 , 63 , 65 , 68 , 70 , 72 , 73 ] ( Table 3 ). There were a total of 32,204 individuals classified with prediabetes from 19 studies ( Table 2 ), of which 10,999 were Caucasian (eight studies) and 21,205 were Asian (11 studies), based on the WHO 1999 classification; and 27,112 individuals classified with prediabetes from 14 studies ( Table 3 ), of which 11,744 were Caucasian (seven studies) and 15,765 were Asian (seven studies) based on the ADA 2003 classification.…”

“…Of the 24 articles included, six reported on Chinese cohorts [ 61 , 62 , 63 , 64 , 65 , 66 ], three Indian cohorts [ 67 , 68 , 69 ], two Malaysian [ 70 , 71 ], one Thai [ 72 ], and one Korean cohort [ 73 ]. All were classified as Asian ethnicity.…”

Clinical and biological risk factors associated with inflammation in patients with type 2 diabetes mellitus

“…In particular, genetic factors determine the development of both obesity and T2DM by influencing taste, food preferences and dietary patterns, sedentary lifestyle, as well as basal metabolism and calories burn [13]. Additional risk factors of T2DM include age, smoking, stress, sleep disorders and depression [14][15][16]. Further clinical risk factors associated with T2DM development include abdominovisceral obesity, hyperglycemia, hypertension and dyslipidaemia, i.e.…”