Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
J Psychosom Res. 2014 Feb;76(2):152-7. doi: 10.1016/j.jpsychores.2013.10.007. Epub 2013 Oct 18.
Metabolic 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.
347 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.
The 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.
The 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.
代谢综合征(MetS)与心血管疾病和 2 型糖尿病密切相关,但对于哪些代谢指标构成 MetS 一直存在争议。患有暴食症(BED)的肥胖者由于体重过重和不良的饮食模式,是发生 MetS 的高风险人群之一,但尚未在该患者群体中检查代谢指标的聚类模式。
为治疗患有 BED 的肥胖个体,招募了 347 名成年人(71.8%为女性)。我们使用统计分析系统(SAS)中的 VARCLUS 程序来研究代谢风险指标的聚类模式。
分析产生了四个因素:肥胖(体重指数[BMI]和腰围)、脂质(HDL 和甘油三酯)、血压(收缩压和舒张压)和血糖调节(空腹血清葡萄糖和 Hb1Ac)。这四个因素占总方差的 84%,每个因素解释的方差没有明显差异。四个因素之间没有相互关联。按性别和种族(白种人与非裔美国人)进行的亚组分析得出了相同的四因素结构。
患有 BED 的肥胖个体的 MetS 因子结构与在正常人群研究中发现的因子结构不同。这种因子结构可能适用于不同的人群。