营养缺乏和缺乏运动的中年人与动力和代谢综合征:来自全国调查的结果。

IF 4.1 2区 医学 Q2 NUTRITION & DIETETICS
Mijin Kim, Toshiro Kobori
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引用次数: 0

摘要

背景:本研究探讨了运动障碍、代谢综合征(MetS)、营养摄入和身体活动之间的关系。方法:我们使用了一项横断面研究的数据,该研究包括2014年至2017年参加韩国国家健康与营养检查调查(KNHANES)的中年男性和女性(40-64岁)。患者(n = 4700)根据运动障碍和代谢障碍的诊断分为四组:运动障碍(DM)、单纯运动障碍(D)、单纯运动障碍(M)、非运动障碍和非代谢障碍(NDNM)。动力不足被定义为经bmi调整的握力的最低分位数。MetS被定义为中枢性肥胖加上以下两个或两个以上的特征:空腹血糖、血压或甘油三酯升高,或高密度脂蛋白胆固醇降低。通过问卷调查评估营养摄入和身体活动。结果:在女性中,与NDNM组相比,DM组除了总能量和碳水化合物外,其他所有营养素的摄入量都显著降低。在对年龄、骨关节炎和总能量摄入进行调整的模型中,DM组未进行阻力训练的优势比(OR)更高(男性:OR(95%置信区间(CI)) = 1.64 (1.22-2.20);女性:OR (95% CI) = 2.26(1.59-3.21))和每周从事低于600代谢当量的体力活动(男性:OR (95% CI) = 1.36 (1.05-1.78);女性:OR (95% CI) = 1.29(1.02-1.63))高于NDNM组。与NDNM组相比,DM组女性在休闲相关的中度(OR (95% CI) = 2.00(1.49-2.68))和剧烈(OR (95% CI) = 1.76(1.10-2.82))体力活动方面的OR明显更高。结论:本研究表明,运动障碍和MetS的结合与女性营养摄入不足和男女体力活动不足有关。这些发现为制定治疗运动障碍和代谢障碍的干预策略提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Nutrient deficiency and physical inactivity in middle-aged adults with dynapenia and metabolic syndrome: results from a nationwide survey.

Nutrient deficiency and physical inactivity in middle-aged adults with dynapenia and metabolic syndrome: results from a nationwide survey.

Background: This study examined the associations between dynapenia, metabolic syndrome (MetS), nutrient intake, and physical activity.

Methods: We used data from a cross-sectional study that included middle-aged men and women (40-64 years old) who participated in the Korea National Health and Nutrition Examination Survey (KNHANES) between 2014 and 2017. Patients (n = 4700) were categorized into four groups based on diagnosis of dynapenia and MetS: dynapenic MetS (DM), dynapenia alone (D), MetS alone (M), and non-dynapenia and non-MetS (NDNM). Dynapenia was defined as the lowest tertile of the BMI-adjusted handgrip strength. MetS was defined as central obesity plus two or more of the following features: elevated fasting plasma glucose, blood pressure, or triglycerides, or reduced HDL cholesterol. Nutrient intake and physical activity were assessed via questionnaires.

Results: In women, the DM group had a significantly lower intake of all nutrients except for total energy and carbohydrates compared to the NDNM group. In a model adjusted for age, osteoarthritis, and total energy intake, the DM group showed higher odds ratios (ORs) for not practicing resistance training (men: OR (95% confidence intervals (CI)) = 1.64 (1.22-2.20); women: OR (95% CI) = 2.26 (1.59-3.21)) and for engaging in physical activities below 600 metabolic equivalents of tasks per week (men: OR (95% CI) = 1.36 (1.05-1.78); women: OR (95% CI) = 1.29 (1.02-1.63)) than the NDNM group. The women in the DM group had significantly higher OR for leisure-related moderate (OR (95% CI) = 2.00 (1.49-2.68)) and vigorous (OR (95% CI) = 1.76 (1.10-2.82)) physical inactivity than in the NDNM group.

Conclusions: This study showed that the combination of dynapenia and MetS was associated with poor nutrient intake in women and low physical activity in both sexes. These findings provide a foundation for developing intervention strategies to address dynapenia and MetS.

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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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