Associations of dietary oxidative balance score with sarcopenia in adults: an NHANES-based cross-sectional study.

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Qiang Zhou, Shang Zhou, Zuo-Xi Chen, Wu-Jie Zhou, Jia Su, Yong Wang
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引用次数: 0

Abstract

Background: Sarcopenia, a prevalent muscle disorder in the older adults, is characterized by accelerated loss of muscle mass and function, contributing to increased risks of falls, functional decline, and mortality. The relationship between dietary oxidative balance score (DOBS) and sarcopenia, however, remains unclear.

Methods: We conducted a cross-sectional analysis of the National Health and Nutritional Examination Survey (NHANES) 2011-2018 cohort, which included 8,240 participants, aged 47.2 ± 17.6 years (48.6% male, 51.4% female). The participants were selected from geographic locations across all 50 states and the District of Columbia, using a stratified, multistage probability sampling design to collect health and nutritional data representative of the civilian, non-institutionalized U.S.

Population: We employed the generalized additive model to identify potential non-linear relationships and utilized the two-piecewise linear regression model to investigate the association between DOBS and sarcopenia in American adults.

Results: Participants were categorized into quartiles based on their DOBS, and sarcopenia was diagnosed in 702 individuals (8.5%). In the unadjusted model, DOBS exhibited a significant negative correlation with sarcopenia (β = 0.97, 95% Confidence Interval (CI): 0.96 to 0.99, P < 0.001). This association remained consistent in the model with minimal adjustment for age and gender (β = 0.97, 95% CI: 0.96 to 0.98, P < 0.001) and in the fully adjusted model including additional covariates (β = 0.97, 95% CI: 0.96 to 0.99, P < 0.001). After adjusting for potential confounders, we identified a non-linear association DOBS and sarcopenia, with an inflection point at 23. The effect sizes and CIs to the left and right of the inflection point were 1.62 (95% CI: 1.09 to 2.41, P = 0.016) and 0.97 (95% CI: 0.95 to 0.98, P < 0.001), respectively. Subgroup analyses confirmed the stability of this relationship across various demographic and health-related variables.

Conclusions: This research provides new insights into the association between diet quality, as assessed by DOBS, and sarcopenia, reinforcing the critical role of a balanced, antioxidant-rich diet in adult muscle.

膳食氧化平衡评分与成人肌肉减少症的关联:一项基于nhanes的横断面研究。
背景:骨骼肌减少症是老年人中普遍存在的一种肌肉疾病,其特征是肌肉质量和功能的加速丧失,导致跌倒、功能下降和死亡的风险增加。然而,膳食氧化平衡评分(DOBS)与肌肉减少症之间的关系尚不清楚。方法:对2011-2018年国家健康与营养检查调查(NHANES)队列进行横断面分析,共纳入8240名参与者,年龄47.2±17.6岁(男性48.6%,女性51.4%)。参与者从50个州和哥伦比亚特区的地理位置中选择,使用分层,多阶段概率抽样设计来收集具有代表性的美国平民,非机构人口的健康和营养数据。我们采用广义加性模型来识别潜在的非线性关系,并利用两段线性回归模型来调查DOBS与美国成年人肌肉减少症之间的关系。结果:参与者根据DOBS分为四分位数,702人(8.5%)被诊断为肌肉减少症。在未调整的模型中,DOBS与肌肉减少症呈显著负相关(β = 0.97, 95%置信区间(CI): 0.96至0.99,P)。结论:本研究为DOBS评估的饮食质量与肌肉减少症之间的关系提供了新的见解,强化了均衡、富含抗氧化剂的饮食对成人肌肉的关键作用。
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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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