Evidence map›Paper›PMID 38654220›Full record

ArticleBMC public health2024

The mediating role of depressive symptoms among Turkish population related to gender and low back pain: evidence from a national health survey.

Nadire Gülçin Yıldız, Halide Z Aydin, Grace Sambo, Kemal Aydın, Hatice Yıldız, Ichtiarini Nurullita Santri, Yuniar Wardani, Bwanalori Mwamulima, Khoiriyah Isni, Yohane V A Phiri

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 6 institutions in 4 countries.

Nadire Gülçin Yıldız *Faculty of Education, Department of Guidance and Counseling, Istanbul Medipol University, Istanbul, Turkey.
Halide Z AydinArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Grace SamboChang Gung Medical Education Research Centre (CG-MERC), Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Kemal Aydın *Faculty of Economics and Administrative Sciences, Amasya University, Amasya, Turkey.
Hatice YıldızHealth Sciences Institute, Istanbul Medipol University, Istanbul, Turkey.
Ichtiarini Nurullita SantriFaculty of Public Health, Universitas Ahmad Dahlan, Yogyakarta, Indonesia.
Yuniar WardaniFaculty of Public Health, Universitas Ahmad Dahlan, Yogyakarta, Indonesia.
Bwanalori MwamulimaDirectorate of Health and Social Services, Rumphi District Council, Rumphi, Malawi.
Khoiriyah IsniFaculty of Public Health, Universitas Ahmad Dahlan, Yogyakarta, Indonesia.
Yohane V A Phiri *Department of Epidemiology and Environmental Health (EEH), University at Buffalo, Buffalo, NY, USA. phiriyohane5@gmail.com.
Universitas Ahmad Dahlan · IDIstanbul Medipol University · TRAmasya Üniversitesi · TRChang Gung Memorial Hospital · TWUniversity at Buffalo, State University of New York · USUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow back pain (LBP), though non-life-threatening, burdens healthcare with treatment expenses and work hours lost. Globally, 70-84% experience it, with risk factors tied to societal structure, income, and living conditions, making it a leading cause of disability.

methodsThis study utilized data from the 2019 Türkiye Health Survey, which consisted of 17,084 individuals aged 15 and above. Our study focused on investigating the factors related to low back pain through a cross-sectional analysis. To analyze these factors, we employed binary multivariate logistic regression. Additionally, we conducted post-hoc analyses to assess the potential mediating effect of depressive symptoms on the relationship between low back pain and gender.

resultsWe found that 31.9% of the population experienced low back pain, with women being 58% more likely [aOR = 1.58; 95% CI (1.45-1.73)] than men to report symptoms. Individuals aged 55 + years old had a 90% [aOR = 1.90; 95% CI (1.61-2.23)] chance of experiencing low back pain, indicating an age-related increase. In the general population, having depressive symptoms was 2.49 [95% CI (2.23-2.78)] times more likely associated with low back pain. Our mediation analysis showed that gender (i.e., women vs. men), indicated by direct effects with β-estimates e = 0.78, predicted the likelihood of low back pain. Additionally, the relationship between gender and low back pain, mediated through a history of depressive symptoms, had a significant total indirect effect (i.e., β-estimate given as e = 0.49). Specifically, a history of depressive symptoms accounted for 17.86% [95% CI (9.67-20.10)] of the association between women having a higher likelihood of low back pain compared to men.

conclusionWe observed that a higher likelihood of low back pain associated with gender and aging. Additionally, BMI served as a significant predictor, particularly in adults. Depression mediated the association between gender and low back pain. Acknowledging these associations may help identify and address contributing factors to LBP, potentially increasing awareness and alleviating the burden. Policymakers and healthcare professionals may consider these findings when developing prevention and treatment programs for low back pain.

Indexed as

DepressionHealth SurveysLow Back PainAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsSex FactorsTurkeyYoung AdultBehavior-related factorsDepressionLow back painSociodemographic factorsTürkiye health survey

Identifiers

PMID38654220
PMCPMC11040760
OpenAlexW4395050771

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.