Abstract
Metabolic syndrome (MetS) increases its prevalence during menopausal period and there is no appropriate marker for screening before the cardiovascular damage begun. This study aims to find the diagnostic accuracy and the appropriate cutoff level of serum adiponectin for the screening of MetS in peri- and postmenopausal women. Women aged at least 40 years old attending health checkup clinic were recruited. Anthropometric measurements, blood pressure, MENQOL, and blood chemistry (glucose, adiponectin, HDL-C, LDL-C, and TG) were recorded. MetS was defined by JIS 2009 criteria. 290 peri-and postmenopausal women mean age 54.25 ± 8.6 years were recruited. 66% was postmenopause and 21.4% of them has MetS. The socioeconomic and lifestyle factors seem similar among women with and without MetS. In the participants with MetS, the prevalence of abdominal obesity was higher (96.8% vs 49.6%, p < .001, respectively) and more prevalence of android fat distribution pattern was observed (76.2% vs 36%, p < .001, respectively). Serum adiponectin was significantly lower in women with MetS (6.0 ± 4.6 vs 9.2 ± 5.2 μg/mL, p < .001 in MetS and non-MetS, respectively). Serum adiponectin is a good biomarker for MetS and we recommend the cutoff level of serum adiponectin lower than 7.15 μg/mL for screening of MetS (AUC (95% CI) of = 0.72 (0.64–0.79), p < .001).
摘要
在绝经期代谢综合征(MetS)的患病率会增加, 但在心血管损害出现前并没有合适的筛查标记物。本研究旨在探讨血清脂联素水平对围绝经期和绝经后妇女代谢综合征筛查的诊断准确性和适当的临界值。本研究对健康体检中心就诊的40岁以上女性进行招募。记录躯体测量指标、血压、更年期特有生活质量问卷(MENQOL)和血生化指标 (葡萄糖、脂联素、高密度脂蛋白、低密度脂蛋白和甘油三酯)。MetS 应用2009年JIS的标准定义。本研究中, 290名围绝经期和绝经后妇女作为调查对象, 平均年龄(54.25±8.6)岁。66%为绝经后, 21.4%患有MetS。有和无MetS的女性在社会经济和生活方式因素方面比较结果相当。在患有MetS的女性中, 腹型肥胖的患病率更高(分别为96.8%和49.6%, p<.001), 男性型脂肪分布模式的患病率也更高(分别为76.2%和36%, p<.001)。METS组的血清脂联素水平显著降低(有和无MetS的女性分别为6.0±4.6 和9.2±5.2lg/mL, p<0.001)。血清脂联素是MetS良好的生物标志物, 我们推荐血清脂联素水平低于7.15lg/mL作为筛查MetS的临界值(AUC (95%CI) = 0.72(0.64-0.79), p<0.001)。
The Chinese abstracts are translated by Prof. Dr. Xiangyan Ruan and her team: Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100026, China.
Disclosure statement
The authors report no conflict of interest.
Author contributions
Puntabut Wattanapol: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. Patsama Vichinsartvichai: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing. Prirayapak Sakoonwatanyoo: Conceptualization, Data curation, Investigation, Methodology, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing.