前瞻性队列研究中乳制品摄入与髋部骨折风险:486950名成年人的非线性算法剂量反应分析。

IF 2.4 Q3 NUTRITION & DIETETICS
Journal of Nutritional Science Pub Date : 2023-09-11 eCollection Date: 2023-01-01 DOI:10.1017/jns.2023.63
Suruchi Mishra, Kavitha Baruah, Vasanti S Malik, Eric L Ding
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引用次数: 0

摘要

先前关于乳制品消费与髋部骨折风险之间关系的研究报告了不一致的发现。因此,我们旨在对评估乳制品摄入量和发生髋部骨折风险的研究进行算法驱动的非线性剂量反应荟萃分析。PubMed和Google Scholar的荟萃分析搜索乳制品摄入和髋部骨折风险的前瞻性研究文章,并辅以作者提供的其他详细数据。Meta回归得出了剂量反应的相对风险,在整个乳制品消费谱中进行了全面的算法驱动的剂量评估,以获得非线性关联。1946年至2021年12月发表的英文研究综述。一项搜索产生了13项研究,涉及486950名成年人和15320名骨折患者。非线性剂量模型被发现在经验上优于牛奶影响的线性解释。摄入400克/天的牛奶与髋部骨折风险增加有关,每摄入200克/天牛奶,髋部骨折风险会增加7%(RR 1∙07,95%CI 1∙05,1∙10;P<0∙0001),400克/日时与0克/日相比,峰值风险会增加15%(RR 1・15,95%CI 2∙09,1・21,P<0・0001)。尽管在400克/天以上有剂量风险衰减,但与零摄入(高达750克/天)相比,牛奶摄入仍然表现出髋部骨折的风险增加。同时,对每250克/天酸奶摄入量的五项队列研究的分析发现,与骨折风险呈线性负相关(RR 0∙85,95%CI 0∙82,0∙89),对每43克/天奶酪摄入量(约1份/天)的五项研究也是如此(RR 0・81,95%CI 0∙72,0・92);这些研究没有控制社会经济地位。然而,总乳制品摄入量与髋部骨折之间没有明显的相关性(每250 g/d总乳制品的RR=0∙97,95%CI 0∙93,1∙004;P=0∙079)。牛奶摄入量越大,髋部骨折的风险越高,这两者都存在非线性影响,而酸奶和奶酪摄入量越高,髋部骨折风险越低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dairy intake and risk of hip fracture in prospective cohort studies: non-linear algorithmic dose-response analysis in 486 950 adults.

Dairy intake and risk of hip fracture in prospective cohort studies: non-linear algorithmic dose-response analysis in 486 950 adults.

Dairy intake and risk of hip fracture in prospective cohort studies: non-linear algorithmic dose-response analysis in 486 950 adults.

Dairy intake and risk of hip fracture in prospective cohort studies: non-linear algorithmic dose-response analysis in 486 950 adults.

Previous studies on the relationship between dairy consumption and hip fracture risk have reported inconsistent findings. Therefore, we aimed to conduct an algorithmically driven non-linear dose-response meta-analysis of studies assessing dairy intake and risk of developing incident hip fracture. Meta-analysis from PubMed and Google Scholar searches for articles of prospective studies of dairy intake and risk of hip fracture, supplemented by additional detailed data provided by authors. Meta-regression derived dose-response relative risks, with comprehensive algorithm-driven dose assessment across the entire dairy consumption spectrum for non-linear associations. Review of studies published in English from 1946 through December 2021. A search yielded 13 studies, with 486 950 adults and 15 320 fractures. Non-linear dose models were found to be empirically superior to a linear explanation for the effects of milk. Milk consumption was associated with incrementally higher risk of hip fractures up to an intake of 400 g/d, with a 7 % higher risk of hip fracture per 200 g/d of milk (RR 1⋅07, 95 % CI 1⋅05, 1⋅10; P < 0⋅0001), peaking with 15 % higher risk (RR 1⋅15, 95 % CI 1⋅09, 1⋅21, P < 0⋅0001) at 400 g/d versus 0 g/d. Although there is a dose-risk attenuation above 400 g/d, milk consumption nevertheless continued to exhibit elevated risk of hip fracture, compared to zero intake, up to 750 g/d. Meanwhile, the analysis of five cohort studies of yoghurt intake per 250 g/d found a linear inverse association with fracture risk (RR 0⋅85, 95 % CI 0⋅82, 0⋅89), as did the five studies of cheese intake per 43 g/d (~1 serving/day) (RR 0⋅81, 95 % CI 0⋅72, 0⋅92); these studies did not control for socioeconomic status. However, no apparent association between total dairy intake and hip fracture (RR per 250 g/d of total dairy = 0⋅97, 95 % CI 0⋅93, 1⋅004; P = 0⋅079). There were both non-linear effects and overall elevated risk of hip fracture associated with greater milk intake, while lower risks of hip fracture were reported for higher yoghurt and cheese intakes.

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来源期刊
Journal of Nutritional Science
Journal of Nutritional Science NUTRITION & DIETETICS-
CiteScore
3.00
自引率
0.00%
发文量
91
审稿时长
7 weeks
期刊介绍: Journal of Nutritional Science is an international, peer-reviewed, online only, open access journal that welcomes high-quality research articles in all aspects of nutrition. The underlying aim of all work should be, as far as possible, to develop nutritional concepts. JNS encompasses the full spectrum of nutritional science including public health nutrition, epidemiology, dietary surveys, nutritional requirements, metabolic studies, body composition, energetics, appetite, obesity, ageing, endocrinology, immunology, neuroscience, microbiology, genetics, molecular and cellular biology and nutrigenomics. JNS welcomes Primary Research Papers, Brief Reports, Review Articles, Systematic Reviews, Workshop Reports, Letters to the Editor and Obituaries.
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