Prasad D S, Kabir Z, Dash A K, Das B C
Consultant Cardiologist, Sudhir Heart Centre, Berhampur, Orissa, India.
J Cardiovasc Dis Res. 2012 Jul;3(3):204-11. doi: 10.4103/0975-3583.98895.
To determine the prevalence of metabolic syndrome and to identify predictors for the same, specific to an underdeveloped urban locale of Eastern India.
Population-based cross-sectional study, with multistage random sampling technique.
Urban city-dwellers in Orissa one of the poorest states of Eastern India bordering a prosperous state of Andhra Pradesh of Southern India.
1178 adults of age 20-80 years randomly selected from 37 electoral wards of the urban city. Definition of Metabolic Syndrome: We followed a unified definition of the metabolic syndrome by joint interim statement of five major scientific organizations - the International Diabetes Federation, the National Heart, Lung, and Blood Institute, the American Heart Association, the World Heart Federation, the International Atherosclerosis Society, and the International Association of the Study of Obesity. Individuals who meet at least three of five clinical criteria of abdominal obesity, hypertriglyceredimia, low HDL, hypertension, and hyperglycemia are diagnosed as having the condition; presence of none of these criteria is mandatory. Explicit cut points are defined for all criteria, except elevated waist circumference, which must rely on population and country-specific definitions.
Prevalence and significant predictors of metabolic syndrome.
Both descriptive and multivariable logistic regression analyses.
Age-standardized prevalence rates of metabolic syndrome were 33.5% overall, 24.9 % in males and 42.3% in females. Older age, female gender, general obesity, inadequate fruit intake, hypercholesterolemia, and middle-to-high socioeconomic status significantly contributed to increased risk of metabolic syndrome.
Metabolic syndrome is a significant public health problem even in one of the poorest states of India that needs to be tackled with proven strategies.
确定代谢综合征的患病率，并找出印度东部一个不发达城市地区特有的代谢综合征预测因素。
采用多阶段随机抽样技术的基于人群的横断面研究。
印度东部最贫困的邦之一奥里萨邦的城市居民，该邦与印度南部繁荣的安得拉邦接壤。
从该城市的37个选区中随机选取的1178名年龄在20至80岁之间的成年人。代谢综合征的定义：我们遵循了五个主要科学组织——国际糖尿病联盟、美国国立心肺血液研究所、美国心脏协会、世界心脏联盟、国际动脉粥样硬化学会和国际肥胖研究协会联合发布的临时声明中对代谢综合征的统一定义。符合腹部肥胖、高甘油三酯血症、低高密度脂蛋白、高血压和高血糖这五项临床标准中至少三项的个体被诊断为患有该疾病；这些标准并非必须全部满足。除腰围升高外，所有标准都有明确的切点，腰围升高必须依据特定人群和国家的定义。
代谢综合征的患病率及显著预测因素。
描述性分析和多变量逻辑回归分析。
代谢综合征的年龄标准化患病率总体为33.5%，男性为24.9%，女性为42.3%。年龄较大、女性性别、总体肥胖、水果摄入不足、高胆固醇血症以及中高社会经济地位显著增加了代谢综合征的患病风险。
即使在印度最贫困的邦之一，代谢综合征也是一个重大的公共卫生问题，需要采用已证实的策略加以解决。
