Huimei Wu, Xiaoli Wang, Ran Sun, Xiaoqian Fu, Bin Zeng, Fu Hang, Qianyi Huang, Li Jiang, Qizhi Ou, Aiping Qin, Liuming Li, Mujun Li
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引用次数: 0
Abstract
Background: Previous studies link overweight/obesity to reduced fertility, highlighting weight intervention as vital for better pregnancy outcomes. However, clarity on the role and efficacy of weight loss in enhancing pregnancy is inconsistent.
Objective: This study aimed to assess the impact of individualized weight intervention on pregnancy among Chinese overweight/obese infertile women and explore body composition indexes influencing pregnancy outcomes.
Methods: This retrospective study involved 363 overweight/obese infertile women admitted to the First Affiliated Hospital of Guangxi Medical University, Guangxi, China, from June 2017 to November 2020. Among them, 249 received personalized weight intervention (intervention group), while 114 did not (control group). Pregnancy outcomes were compared between the two groups, and changes in body composition before and after intervention were measured. Multivariate logistic regression was employed to analyze factors influencing pregnancy outcomes.
Results: The intervention group exhibited significantly higher clinical pregnancy rates, natural pregnancy rates, assisted reproductive pregnancy rates, and induced ovulation (IO) pregnancy rates compared to the control group (all P < .05). Following weight intervention, there were significant decreases in body weight, body mass index (BMI), visceral fat area, and body fat (all P < .01). Logistic regression analysis identified polycystic ovary syndrome as the reason for infertility (OR=3.446, P = .016), ∆body weight %≥10% (OR=2.931, P = .014), and ∆visceral fat area% (OR=1.025, P = .047) as positive factors for a successful pregnancy. Conversely, age≥35 years old (OR=0.337, P = .001), BMI≥25 kg/m2 after intervention (OR=0.279, P < .001), and visceral fat area≥100 cm2 after intervention (OR=0.287, P = .007) were identified as negative factors.
Conclusions: Individualized weight management enhances pregnancy outcomes in overweight/obese infertile women. Achieving a reduction in body weight by 10% or more, combined with effective control of visceral fat, proves important in improving pregnancy outcomes. Excess visceral fat emerges as an adverse factor impacting successful pregnancy.
期刊介绍：
Launched in 1995, Alternative Therapies in Health and Medicine has a mission to promote the art and science of integrative medicine and a responsibility to improve public health. We strive to maintain the highest standards of ethical medical journalism independent of special interests that is timely, accurate, and a pleasure to read. We publish original, peer-reviewed scientific articles that provide health care providers with continuing education to promote health, prevent illness, and treat disease. Alternative Therapies in Health and Medicine was the first journal in this field to be indexed in the National Library of Medicine. In 2006, 2007, and 2008, ATHM had the highest impact factor ranking of any independently published peer-reviewed CAM journal in the United States—meaning that its research articles were cited more frequently than any other journal’s in the field.
Alternative Therapies in Health and Medicine does not endorse any particular system or method but promotes the evaluation and appropriate use of all effective therapeutic approaches. Each issue contains a variety of disciplined inquiry methods, from case reports to original scientific research to systematic reviews. The editors encourage the integration of evidence-based emerging therapies with conventional medical practices by licensed health care providers in a way that promotes a comprehensive approach to health care that is focused on wellness, prevention, and healing. Alternative Therapies in Health and Medicine hopes to inform all licensed health care practitioners about developments in fields other than their own and to foster an ongoing debate about the scientific, clinical, historical, legal, political, and cultural issues that affect all of health care.
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