Lifestyle interventions in later reproductive age women to offset cardiometabolic and bone disease: a scoping review.

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Kristyn Dunlop, Grace Dillon, Rachel K Crowley, Catherine Phillips, Patrick Twomey, Fionnuala M McAuliffe
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引用次数: 0

Abstract

Background: Non-communicable chronic disease is a major contributor to morbidity and mortality with potentially modifiable lifestyle factors. In women, the menopausal transition modifies women's risk of chronic disease, and pregnancy-related complications have been highlighted as female-specific risk factors. Later reproductive years, before onset of menopause, may represent a window of opportunity for promotion of lifestyle modifications. The aim of this scoping review is to investigate which interventions promoting lifestyle modifications in women of later reproductive years may influence cardiometabolic and bone disease.

Methods: A search of three electronic databases (PubMed, Embase, CINAHL) in the English language was performed in January 2024. Eligible studies included women aged 40-55 participating in interventions focusing on lifestyle modification. Studies reporting outcomes related to cardiometabolic disease, bone disease or body composition were eligible for inclusion.

Results: Improvements in body composition occurred following interventions focusing on aerobic physical activity. Interventions focusing on health promotion and education, incorporating both dietary and physical activity modifications, prevented weight gain and improved cardiometabolic outcomes. Interventions incorporating elements of behavioural theories enhanced patient-motivated lifestyle modifications, with effects on body composition and cardiometabolic outcomes.

Conclusions: Lifestyle modifications in later reproductive years have the potential to influence cardiometabolic and bone disease. Our findings reinforce the benefits of regular aerobic physical activity, as well as health education, for improving body composition and lipid profile. This information could contribute to the development of clinical guidelines for the prevention of chronic disease.

生活方式干预后生育年龄妇女抵消心脏代谢和骨骼疾病:范围审查。
背景:非传染性慢性疾病是发病率和死亡率的主要因素,具有潜在的可改变的生活方式因素。在妇女中,更年期的过渡改变了妇女患慢性病的风险,怀孕相关的并发症已被强调为女性特有的风险因素。较晚的生育年龄,在更年期开始之前,可能是促进改变生活方式的机会之窗。本综述的目的是调查在生育年龄较晚的妇女中,哪些促进生活方式改变的干预措施可能影响心脏代谢和骨骼疾病。方法:于2024年1月检索PubMed、Embase、CINAHL三个英文电子数据库。符合条件的研究包括40-55岁的妇女,她们参与了以生活方式改变为重点的干预措施。报告与心脏代谢疾病、骨病或身体成分相关的结果的研究符合纳入条件。结果:在有氧运动干预后,身体成分得到改善。注重健康促进和教育的干预措施,结合饮食和身体活动的改变,防止了体重增加,改善了心脏代谢结果。结合行为理论元素的干预措施增强了患者动机的生活方式改变,对身体成分和心脏代谢结果有影响。结论:生育年龄后期生活方式的改变有可能影响心脏代谢和骨骼疾病。我们的研究结果强化了定期有氧运动和健康教育对改善身体成分和血脂的益处。这一信息有助于制定预防慢性疾病的临床指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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