400名壮族居民血糖血脂水平调查研究

来源 :中国自然医学杂志 | 被引量 : 0次 | 上传用户:shuaiqi_09
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目的了解壮族居民成人血糖、血脂水平与全国总体水平间、壮族居民内性别间、不同年龄组间、乡村与城镇间的差异。方法采用空腹抽外周静脉血,以酶法检测血糖、血脂含量。结果与全国总体水平相比,血糖、甘油三酯(TG)、总胆固醇(TC)、高密度脂蛋白(HDL-C)差异有统计学意义(P<0.01);观察组性别间比较,血糖差异有统计学意义(P<0.05),TG差异有统计学意义(P<0.01),TC和HDL-C差异无统计学意义(P>0.05);年龄组间比较,血糖和TG差异无统计学意义(P>0.05),TC和HDL-C差异有统计学意义(P<0.01);城镇和乡村间比较,血糖和TC差异无统计学意义,TG差异有统计学意义(P<0.05),HDL-C差异有统计学意义(P<0.01)。结论血糖、TG水平低于全国平均水平,TC、HDL-C明显高于全国平均水平,血糖、TG、TC与心脑血管疾病呈正相关,HDL-C则是负相关。总的来说,壮族居民患糖尿病和心脑血管疾病的可能性大大低于全国平均水平。 Objective To understand the differences between adult blood glucose and blood lipid levels of Zhuang residents and the overall national level, gender among residents of Zhuang nationality, between different age groups, and between rural and urban areas. Methods Peripheral venous blood was drawn by fasting, and blood sugar and blood lipids were detected by enzymatic method. Results Compared with the national level, there were significant differences in blood glucose, triglyceride (TG), total cholesterol (TC) and high-density lipoprotein (HDL-C) (P<0.01); The difference was statistically significant (P<0.05). The difference in TG was statistically significant (P<0.01). There was no significant difference between TC and HDL-C (P>0.05); between age groups, there was no statistical difference between blood glucose and TG. Significance (P>0.05), TC and HDL-C were statistically significant (P<0.01); between urban and rural areas, there was no statistically significant difference in blood glucose and TC, and TG was statistically significant (P<0.05). The difference of HDL-C was statistically significant (P<0.01). Conclusions Blood glucose and TG levels are lower than the national average. TC and HDL-C are significantly higher than the national average. Blood glucose, TG, and TC are positively correlated with cardiovascular and cerebrovascular diseases. HDL-C is negatively correlated. In general, the population of Zhuang residents is far less likely to suffer from diabetes and cardiovascular and cerebrovascular diseases than the national average.
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