Evidence map›Paper›PMID 38835037›Full record

ArticleLipids in health and disease2024

Association between blood lipids and diabetes mellitus in older Chinese adults aged 65 years or older: a cross-sectional analysis of residents' electronic health records.

Tianxiang Lin, Yanrong Zhao, Qing Yang, Wei Wang, Xuewen Jiang, Yinwei Qiu

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tianxiang LinZhejiang Provincial Center for Disease Control and Prevention, Dept. of Public Health Surveillance & Advisory, No.3399. Binsheng Road, Binjiang district, Hangzhou, 310051, PR China.
Yanrong ZhaoZhejiang Provincial Center for Disease Control and Prevention, Dept. of Public Health Surveillance & Advisory, No.3399. Binsheng Road, Binjiang district, Hangzhou, 310051, PR China.
Qing YangZhejiang Provincial Center for Disease Control and Prevention, Dept. of Public Health Surveillance & Advisory, No.3399. Binsheng Road, Binjiang district, Hangzhou, 310051, PR China.
Wei WangZhejiang Provincial Center for Disease Control and Prevention, Dept. of Public Health Surveillance & Advisory, No.3399. Binsheng Road, Binjiang district, Hangzhou, 310051, PR China.
Xuewen JiangZhejiang Provincial Center for Disease Control and Prevention, Dept. of Public Health Surveillance & Advisory, No.3399. Binsheng Road, Binjiang district, Hangzhou, 310051, PR China.
Yinwei QiuZhejiang Provincial Center for Disease Control and Prevention, Dept. of Public Health Surveillance & Advisory, No.3399. Binsheng Road, Binjiang district, Hangzhou, 310051, PR China. ywqiu@cdc.zj.cn.

Funding

Medical Science and Technology Project of Zhejiang Province 2023KY083
6 · The paper itself

Abstract

aimThis study aimed to investigate how blood lipids are associated with diabetes among older Chinese adults.

methods3,268,928 older Chinese adults without known diabetes were included. Logistic regression and restricted cubic spline (RCS) models were conducted to study associations between blood lipids (total cholesterol [TC], triglycerides [TG], low-density lipoprotein cholesterol [LDL-C], and high-density lipoprotein cholesterol [HDL-C]) and diabetes.

results202,832 diabetes cases were included. Compared with the lowest quintiles, TC, TG, and LDL-C in the highest quintiles showed a higher diabetes prevalence risk and HDL-C presented a lower risk in multivariate-adjusted logistic regression models. Odds ratios (ORs) and 95% confidence intervals (95% CIs) for the highest quintiles of TC, TG, and HDL-C were 1.39 (1.37-1.41), 2.56 (2.52-2.60), and 0.73 (0.72-0.74), respectively. For LDL-C, 3-5% lower risk was found in the second and third quintiles, and 4-23% higher risk was found in the fourth and fifth quintiles. RCS curves showed a non-linear relationship between each blood lipid parameters and diabetes (P-non-linear < 0.001). TG and HDL-C curves presented monotonically increasing and L-shaped patterns, respectively, whereas TC and LDL-C curves exhibited a J-shaped pattern. When TC < 4.04 mmol/L or LDL-C < 2.33 mmol/L, ORs of diabetes increased with the decrease of corresponding indexes. However, after excluding participants with lower LDL-C, the J-shaped association with TC disappeared.

conclusionsThis study demonstrates non-linear associations between lipids and diabetes. Low cholesterol levels are associated with a high risk of diabetes. The cholesterol paradox should be considered during lipid-lowering treatments.

Indexed as

Cholesterol, HDLCholesterol, LDLDiabetes MellitusElectronic Health RecordsTriglyceridesAgedAged, 80 and overChinaCholesterolCross-Sectional StudiesEast Asian PeopleFemaleHumansLipidsLogistic ModelsMaleCholesterolCholesterol, HDLCholesterol, LDLLipidsTriglyceridesBlood lipidsCross-sectional analysisDiabetesRestricted cubic splines

Identifiers

PMID38835037
PMCPMC11149314

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.