Evidence map›Paper›PMID 39849392›Full record

ArticleBMC nephrology2025

Depression as a risk factor for osteoporosis independent of sarcopenia in hemodialysis patients: findings from a multicenter cross-sectional study.

Xiaohua Hu, Xianwu Ye, Haimin Chen, Bibo Wu, Qi Guo, Chen Yu, Wei Ding, Jianying Niu, Junli Zhao, Hualin Qi and 3 more

Abstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 2025. 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. Review
  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

13 authors.

Xiaohua Hu *Department of Nephrology, Zhabei Central Hospital of Jing'an District, No. 619 Zhonghua New Road, Shanghai, 20070, China.
Xianwu Ye *Department of Nephrology, Zhabei Central Hospital of Jing'an District, No. 619 Zhonghua New Road, Shanghai, 20070, China.
Haimin Chen *Department of Hematology and Oncology, Zhabei Central Hospital of Jing'an District, Shanghai, China.
Bibo WuDepartment of Nephrology, Zhabei Central Hospital of Jing'an District, No. 619 Zhonghua New Road, Shanghai, 20070, China.
Qi GuoDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Chen YuDepartment of Nephrology, Tongji Hospital School of Medicine, Tongji University, Shanghai, China.
Wei DingDepartment of Nephrology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jianying NiuDepartment of Nephrology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
Junli ZhaoDepartment of Nephrology, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Hualin QiDepartment of Nephrology, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Suhua ZhangDepartment of Nephrology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou, China.
Cheng XueDepartment of Nephrology, Shanghai Changzheng Hospital, Second Military Medical University (Naval Medical University), Shanghai, China. chengxia1568@126.com.
Liming ZhangDepartment of Nephrology, Zhabei Central Hospital of Jing'an District, No. 619 Zhonghua New Road, Shanghai, 20070, China. zlm198291@163.com.

Funding

Shanghai Jing'an District Health Commission Research Project 2022MS04Shanghai science and technology innovation action plan of scientific instruments and chemical reagents project 24142201800
6 · The paper itself

Abstract

backgroundOsteoporosis and sarcopenia frequently occur in patients with end-stage renal disease undergoing hemodialysis (HD), and depression is also a common mental health issue in this population. Despite the prevalence of these conditions, the interrelationships among them remain poorly understood in HD patients.

methodsIn this multicenter cross-sectional study, 858 HD patients from 7 dialysis centers were recruited. Bone mineral density (BMD) was assessed using dual-energy X-ray absorptiometry. Skeletal muscle mass index (SMI) was calculated from body composition data obtained through multifrequency bioimpedance analysis (BIA), while handgrip strength (HGS) was measured with a dynamometer. Gait speed was evaluated with a 4-meter walk test, and depression was assessed using the Patient Health Questionnaire-9 (PHQ-9).

resultsAmong the 858 participants (524 men, 334 women), 39.2% had osteoporosis. The prevalence of sarcopenia and depression was 18.9% and 42.1%, respectively. Logistic regression analysis showed that SMI was significantly associated with a decreased risk of osteoporosis (OR = 0.638, 95% CI = 0.494-0.823, P = 0.001), while HGS was not(OR = 0.990, 95% CI = 0.963-1.017, P = 0.449). HD patients with sarcopenia were 1.92 times more likely to have osteoporosis than those without sarcopenia. Most notably, after adjusting for both sarcopenia and SMI, the risk of osteoporosis in HD patients with depression was 1.45 times higher than in those without depression (OR = 1.452, 95% CI = 1.060-1.989, P = 0.020).

conclusionsIn HD patients, increased muscle mass, rather than muscle strength, is linked to a lower risk of osteoporosis. Notably, depression emerges as a significant risk factor for osteoporosis in this population, highlighting the need for mental health considerations in managing bone health.

Indexed as

DepressionKidney Failure, ChronicOsteoporosisRenal DialysisSarcopeniaAbsorptiometry, PhotonAgedBone DensityCross-Sectional StudiesFemaleHand StrengthHumansMaleMiddle AgedPrevalenceRisk FactorsBone mineral densityDepressionHemodialysisOsteoporosisSarcopenia

Identifiers

PMID39849392
PMCPMC11755883

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.