Association between modified dietary inflammation index score and lumbar vertebrae bone mineral density in patients with hypertension: data from NHANES-a population-based study.

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-12-04 DOI:10.1186/s12986-024-00877-x
Guangbin Chen, Bo Qu, Pan Liu, Zhengdong Zhang
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Abstract

Background: The modified Dietary Inflammation Index Score (M-DIS) is a scoring system used to quantify the inflammatory effects of nutrients and foods. Inflammation may affect Bone Mineral Density (BMD) and increase the risk of osteoporosis and fractures. The purpose of this study was to utilize data from the National Health and Nutrition Examination Survey (NHANES) to evaluate the relationship between M-DIS and lumbar vertebrae BMD in patients with hypertension.

Methods: Data from 2007 to 2008, 2009-2010, 2013-2014 and 2017-2018 NHANES cycles were collected for secondary analysis. Information provided by NHANES participants included complete dietary intake interviews and BMD measurements. M-DIS was calculated based on dietary intake interviews. Dual energy X-ray absorptiometry (DXA) was used to evaluate the average BMD of lumbar vertebrae (L1-L4). As an indicator of bone health, weighted multiple logistic regression and restricted spline analysis were utilized to study the relationship between M-DIS and lumbar vertebrae BMD in American patients with hypertension.

Results: A total of 3864 participants aged ≥ 20 years with complete data were included in this study. The proportion of osteopenia in the lumbar spine was 7.2%. After adjusting for confounding factors, negative correlations were observed between the BMD of each vertebral and its average BMD with M-DIS. In Model 3, the relationship between mean lumbar BMD and M-DIS was β = - 0.0103 (95% CI - 0.0160 to - 0.0046, P < 0.001). Notably, L1 showed a particularly significant negative correlation with β = - 0.0120 (95% CI - 0.0172 to - 0.0067, P < 0.001), while the proportion of osteopenia was highest in the L3 vertebra, accounting for 8.3%. Higher M-DIS was positively correlated with the incidence of osteopenia (OR 0.595, 95% CI 0.371-0.965, P = 0.041). Further analyses revealed that in hypertensive patients, elevated M-DIS in women was associated with lower lumbar BMD (P for nonlinearity = 0.093), while this trend was not significant in hypertensive men.

Conclusions: The results of this study suggest that a higher M-DIS (pro-inflammatory diet) is significantly associated with BMD in females with hypertension. These results indicate that female with hypertension who prefer a pro-inflammatory diet may be at an increased risk of osteopenia, highlighting the necessity for tailored dietary recommendations.

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高血压患者改良饮食炎症指数评分与腰椎骨矿物质密度之间的关系:来自nhanes的数据——一项基于人群的研究
背景:改良膳食炎症指数评分(M-DIS)是一种用于量化营养和食物炎症作用的评分系统。炎症会影响骨密度(BMD),增加骨质疏松和骨折的风险。本研究的目的是利用国家健康与营养调查(NHANES)的数据来评估高血压患者M-DIS与腰椎骨密度之间的关系。方法:收集2007 - 2008年、2009-2010年、2013-2014年和2017-2018年NHANES周期的数据进行二次分析。NHANES参与者提供的信息包括完整的饮食摄入访谈和骨密度测量。M-DIS是根据膳食摄入访谈计算的。采用双能x线骨密度仪(DXA)评估腰椎(L1-L4)的平均骨密度。M-DIS作为骨质健康的指标,采用加权多元logistic回归和限制样条分析研究美国高血压患者腰椎骨密度与M-DIS的关系。结果:本研究共纳入3864名年龄≥20岁且资料完整的受试者。腰椎骨质减少的比例为7.2%。在调整混杂因素后,观察到每个椎体的骨密度与其M-DIS的平均骨密度之间呈负相关。在模型3中,平均腰椎骨密度与M-DIS之间的关系为β = - 0.0103 (95% CI - 0.0160 ~ - 0.0046, P)。结论:本研究结果表明,高M-DIS(促进炎症的饮食)与高血压女性骨密度显著相关。这些结果表明,倾向于促炎饮食的女性高血压患者骨质减少的风险可能会增加,强调了量身定制饮食建议的必要性。
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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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