ArticleLipids in health and disease2023
Association between total cholesterol and lumbar bone density in Chinese: a study of physical examination data from 2018 to 2023.
Article in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03699228 (China Nationwide Multi Center Big Data Study on the Quantitative Computed Tomography), which is not on this map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
China Nationwide Multi Center Big Data Study on the Quantitative Computed Tomography (QCT) and Health Status of Check -up Population
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Dyslipidemia is associated with abdominal fat depots but not with bone mineral density and muscle fat infiltration.Lipids in health and disease · 2026Article
- Screening and validation of ZFYVE27 as a potential diagnostic biomarker for osteoporosis via integrative bioinformatics and machine learning approaches.Frontiers in immunology · 2026Article
- Triglycerides-Total Cholesterol-Body Weight Index, bone metabolism indicators and bone mineral density in Chinese children: a mediation analysis.European journal of nutrition · 2025Observational
- Characterizing low femoral neck BMD in Qatar Biobank participants using machine learning models.BMC musculoskeletal disorders · 2025Article
- Application of machine learning algorithms to identify people with low bone density.Frontiers in public health · 2024Article
- Association between arteriosclerosis index and lumbar bone mineral density in U.S adults: a cross-sectional study from the NHANES 2011-2018.Frontiers in cardiovascular medicine · 2024Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe impact of total cholesterol (TC) on lumbar bone mineral density (BMD) is a topic of interest. However, empirical evidence on this association from demographic surveys conducted in China is lacking. Therefore, this study aimed to examine the relationship between serum TC and lumbar BMD in a sample of 20,544 Chinese adults between the ages of 20 and 80 years over a period of 5 years, from February 2018 to February 2023. Thus, we investigated the effect of serum TC level on lumbar BMD and its relationship with bone reduction in a Chinese adult population.
methodsThis cross-sectional study used data obtained from the Department of Health Management at Henan Provincial People's Hospital between February 2018 and February 2023. The aim of this study was to examine the correlation between serum TC and lumbar BMD in individuals of different sexes. The research methodology encompassed population description, analysis of stratification, single-factor and multiple-equation regression analyses, smooth curve fitting, and analysis of threshold and saturation effects. The R and EmpowerStats software packages were used for statistical analysis.
resultsAfter adjusting for confounding variables, a multiple linear regression model revealed a significant correlation between TC and lumbar BMD in men. In subgroup analysis, serum TC was found to have a positive association with lumbar BMD in men, specifically those aged 45 years or older, with a body mass index (BMI) ranging from 24 to 28 kg/m
conclusionIn this study, Chinese adults aged 20-80 years displayed different effects of serum TC on lumbar BMD in sex-specific populations. Therefore, monitoring BMI and serum TC levels in women of different ages could prevent osteoporosis and osteopenia.
trial registrationThe research protocol was approved by the Ethics Committee of Beijing Jishuitan Hospital, in accordance with the Declaration of Helsinki guidelines (No. 2015-12-02). These data are part of the China Health Quantitative CT Big Data Research team, which has been registered at clinicaltrials.gov (code: NCT03699228).
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