Department of Obstetrics and Gynecology, School of Medicine, CHA University, Gyunggi-do, Republic of Korea.
Department of Health Administration, Hanyang Cyber University, Seoul, Republic of Korea.
PLoS One. 2020 Jun 25;15(6):e0234035. doi: 10.1371/journal.pone.0234035. eCollection 2020.
Understanding gender differences in health-related behaviors and their impacts is a crucial aspect of effective primary care. We studied gender-based differences in predictors of metabolic syndrome (MetS) resolution among newly diagnosed MetS patients. This study was a secondary analysis of a prospective clinical trial study comprising of 637 middle-aged and older adults (226 men and 411 women) who underwent a regular health checkup and were newly diagnosed with MetS at 16 different health clinics of 14 metropolitan cities and provinces. We conducted Cox proportional hazard analysis to estimate cumulative probability of MetS resolution within a 12-month observation period. Among the 637 patients, 47.6% of participants achieved MetS resolution. The resolution rate was similar among men and women (44.7% and 49.1%, respectively, P = 0.320). Low household income (Hazard ratio = 2.62, 95% confidence interval: 1.13-6.08) and current employment (2.29, 1.26-4.13) were associated with a higher cumulative probability of MetS resolution in men than in women. For women, however, longer sleeping hours (1.18, 1.04-1.34) and living with a partner (1.58, 1.06-2.35) were positive predictors of MetS resolution. Being overweight (0.63, 0.44-0.89) was associated with lower cumulative probability of MetS resolution in women than in men. The factors associated with cumulative probability of MetS resolution within the 12-month follow-up were different between men and women. These findings facilitate further exploration on gender-based differences in risk factors for less optimal improvements in MetS.
了解健康相关行为中的性别差异及其影响是有效初级保健的关键方面。我们研究了新诊断为代谢综合征 (MetS) 的患者中,预测代谢综合征缓解的性别差异。这项研究是一项前瞻性临床试验的二次分析,该研究纳入了 637 名中年及以上成年人(226 名男性和 411 名女性),他们在 14 个大都市和省份的 16 个不同的健康诊所进行了常规健康检查,并新诊断为代谢综合征。我们进行了 Cox 比例风险分析,以估计在 12 个月观察期内代谢综合征缓解的累积概率。在 637 名患者中,有 47.6%的患者达到了代谢综合征缓解。男性和女性的缓解率相似(分别为 44.7%和 49.1%,P=0.320)。低收入家庭(风险比=2.62,95%置信区间:1.13-6.08)和当前就业(2.29,1.26-4.13)与男性比女性更高的代谢综合征缓解累积概率相关。然而,对于女性而言,睡眠时间更长(1.18,1.04-1.34)和与伴侣一起生活(1.58,1.06-2.35)是代谢综合征缓解的正预测因素。超重(0.63,0.44-0.89)与女性比男性更低的代谢综合征缓解累积概率相关。在 12 个月随访期间,与代谢综合征缓解累积概率相关的因素在男性和女性之间存在差异。这些发现有助于进一步探索性别差异对代谢综合征改善效果不佳的危险因素。