The factor structure of the metabolic syndrome in obese individuals with binge eating disorder.
The factor structure of the metabolic syndrome in obese individuals with binge eating disorder.
复制标题
患有暴食症的肥胖个体代谢综合征的因素结构。
DOI：
10.1016/j.jpsychores.2013.10.007
复制
发表时间：
2014
影响因子：
4.7
通讯作者：
Grilo,CarlosM
中科院分区：
文献类型：
--
作者：
Udo,Tomoko;McKee,SherryA;White,MarneyA;Masheb,RobinM;Barnes,RachelD;Grilo,CarlosM
代谢综合征(METS)与心血管疾病和2型糖尿病密切相关，但关于哪些代谢指标构成METS一直存在争议。肥胖暴食障碍(Bed)患者由于超重和饮食习惯不适应，是Met的高危人群之一，但在这类患者中，代谢指标的聚集性模式尚未被研究。结果得到4个因素：肥胖(体重指数和腰围)、血脂(高密度脂蛋白和甘油三酯)、血压(收缩压和舒张压)和血糖调节(空腹血糖和糖化血红蛋白)。这四个因素解释了总方差的84%，每个因素解释的方差没有显著差异。这四个因素之间没有相关性。按性别和种族划分的亚组分析(高加索人与非裔美国人)得到了相同的四因素结构。结论卧床肥胖者的METS的因素结构与正常人群研究中发现的没有不同。这种因素结构可能适用于不同的人群。
ObjectiveMetabolic syndrome (MetS) is strongly linked with cardiovascular disease and type-II diabetes, but there has been debate over which metabolic measures constitute MetS. Obese individuals with binge eating disorder (BED) are one of the high risk populations for developing MetS due to their excess weight and maladaptive eating patterns, yet, the clustering patterns of metabolic measures have not been examined in this patient group.Methods347 adults (71.8% women) were recruited for treatment studies for obese individuals with BED. We used the VARCLUS procedure in the Statistical Analysis System (SAS) to investigate the clustering pattern of metabolic risk measures.ResultsThe analysis yielded four factors: obesity (body-mass-index [BMI] and waist circumference), lipids (HDL and triglycerides), blood pressure (systolic and diastolic blood pressure), and glucose regulation (fasting serum glucose and Hb1Ac). The four factors accounted for 84% of the total variances, and variances explained by each factor were not substantially different. There was no inter-correlation between the four factors. Subgroup analyses by sex and by race (Caucasian vs. African American) yielded the same four-factor structure.ConclusionThe factor structure of MetS in obese individuals with BED is not different from those found in normative population studies. This factor structure may be applicable to the diverse population.