Evidence map›Paper›PMID 39623424›Full record

Observational studyBMC musculoskeletal disorders2024

Association between obesity measurement indexes and symptomatic knee osteoarthritis among the Chinese population: analysis from a nationwide longitudinal study.

Hao Lv, Yan Wang, Ge Zhang, Xingyu Wang, Zhimu Hu, Qingsong Chu, Yao Zhou, Yuxiang Yang, Ting Jiang, Jiuxiang Wang

Abstract readObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

10 authors.

Hao Lv *The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui Province, 230000, China.
Yan Wang *The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui Province, 230000, China.
Ge Zhang *The Third People's Hospital of Hefei, Hefei, Anhui Province, 230000, China.
Xingyu WangThe First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui Province, 230000, China.
Zhimu HuAnhui University of Chinese Medicine, Hefei, Anhui Province, 230000, China.
Qingsong ChuAnhui University of Chinese Medicine, Hefei, Anhui Province, 230000, China.
Yao ZhouAnhui University of Chinese Medicine, Hefei, Anhui Province, 230000, China.
Yuxiang YangAnhui University of Chinese Medicine, Hefei, Anhui Province, 230000, China.
Ting JiangThe First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui Province, 230000, China. jiangting70@163.com.
Jiuxiang WangThe First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui Province, 230000, China. wjxzx1216@163.com.

Funding

the Anhui Provincial Natural Science Foundation 2308085MH294the Key Research and Development Projects in Anhui Province 202104j07020010the Natural Science Research Project for Anhui Universities 2022AH050510the Nature Science Foundation of Anhui University of Chinese Medicine 2020yfyzc27
6 · The paper itself

Abstract

backgroundThe current literature lacks robust clinical data and evidence delineating the relationship between obesity measurement indexes and knee osteoarthritis (KOA). Consequently, this investigation seeks to elucidate the potential link between obesity measurement indexes and KOA among Chinese adults in a nationally representative study.

methodsFirstly, this research performed an observational study in the China Health and Retirement Longitudinal Study (CHARLS). The variables were extracted from interviews and compared between KOA and non-KOA participants. The relationship between obesity measurement indexes and KOA was analyzed by multivariate logistic regression. Restricted cubic spline (RCS) regression tests the nonlinearity of the relationship between obesity measurement indexes and KOA. Subgroup analyses were performed by sex to verify the robustness of the findings.

resultsIn this cross-sectional analysis, we found a positive association between obesity measurement indexes and KOA. These results did not change on multiple imputations(BMI: OR = 1.02, 95% CI, 1.01-1.04, P < 0.05; WHtR: OR = 2.85, 95% CI, 1.08-7.51, P < 0.05; BRI: OR = 1.07, 95% CI, 1.01-1.12, P < 0.05; BFP: OR = 1.02 95% CI, 1.00-1.03, P < 0.05). All the effects of obesity measurement indexes with KOA are present in females. None of the stratifying variables significantly affected the association between obesity measurement indexes and KOA. RCS regression test revealed the linear positive correlation between obesity measurement indexes and KOA.

conclusionIn this cross-sectional study, we found a significant association between obesity measurement indexes and KOA. This relationship is not affected by stratification and confounding factors.

Indexed as

ObesityOsteoarthritis, KneeAgedBody Mass IndexChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsCHARLSCross-sectional surveyKnee osteoarthritisObesity measurement indexes

Identifiers

PMID39623424
PMCPMC11610057

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.