Evidence map›Paper›PMID 31077175›Full record

Observational studyBMC musculoskeletal disorders2019

Height loss but not body composition is related to low back pain in community-dwelling elderlies: Shimane CoHRE study.

Takeshi Endo, Takafumi Abe, Kenju Akai, Tsunetaka Kijima, Miwako Takeda, Masayuki Yamasaki, Minoru Isomura, Toru Nabika, Shozo Yano

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Sagittal Integral Morphotype of Female Classical Ballet Dancers and Predictors of Sciatica and Low Back Pain.International journal of environmental research and public health · 2021
    Article
  7. Article
  8. Review
  9. Article
  10. 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

9 authors at 2 institutions in 1 country.

Takeshi EndoDivision of Internal Medicine, Unnan City Hospital, Unnan-city, Shimane, Japan.
Takafumi AbeCenter for Community-Based Healthcare Research and Education (CoHRE), Shimane University, Matsue-city, Shimane, Japan.
Kenju AkaiCenter for Community-Based Healthcare Research and Education (CoHRE), Shimane University, Matsue-city, Shimane, Japan.
Tsunetaka KijimaCenter for Community-Based Healthcare Research and Education (CoHRE), Shimane University, Matsue-city, Shimane, Japan.
Miwako TakedaCenter for Community-Based Healthcare Research and Education (CoHRE), Shimane University, Matsue-city, Shimane, Japan.
Masayuki YamasakiCenter for Community-Based Healthcare Research and Education (CoHRE), Shimane University, Matsue-city, Shimane, Japan.
Minoru IsomuraCenter for Community-Based Healthcare Research and Education (CoHRE), Shimane University, Matsue-city, Shimane, Japan.
Toru NabikaCenter for Community-Based Healthcare Research and Education (CoHRE), Shimane University, Matsue-city, Shimane, Japan.
Shozo YanoCenter for Community-Based Healthcare Research and Education (CoHRE), Shimane University, Matsue-city, Shimane, Japan. syano@med.shimane-u.ac.jp.
Shimane University · JPUniversity of Shimane · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow back pain (LBP) is a common complaint in the elderly Japanese population. Although previous studies showed that height loss was associated with LBP, it remains unclear whether LBP is associated with body composition. The objective of the present study was to investigate whether body composition and physical characteristics, including height loss, were associated with LBP.

methodsThe present study is retrospectively registered, and the participants were 2212 community-dwelling Japanese people aged over 60 years who participated in the Shimane CoHRE study in 2016. We investigated the presence of LBP, body composition parameters (muscle, fat, body weight, and bone mass), physical characteristics (body height and height loss), chronic diseases, history of fall, smoking, and drinking habits. We examined the relationships of body composition parameters and physical characteristics with point prevalence of LBP using multivariate logistic regression.

resultsThe point prevalence of LBP was 43.2% in women and 39.5% in men. Logistic regression models showed that body height and body composition were not significantly associated with LBP; however, height loss was associated significantly with LBP in women and men (OR: 1.14, 95% CI: 1.08-1.20 and OR: 1.13, 95% CI: 1.06-1.21, respectively). Hypertension (OR: 1.32, 9 5% CI: 1.04-1.69) and chronic heart disease (OR: 1.57, 95% CI: 1.01-2.43) in women and history of fall (OR: 1.70, 95% CI: 1.13-2.56) and cerebrovascular disease (OR: 1.88, 95% CI: 1.05-3.34) in men were significantly associated with LBP. However, body composition was not associated with LBP in either gender.

conclusionsThe present study demonstrated that height loss, but not body composition, was related to LBP in community-dwelling elderly people. To elucidate the cause of LBP, it is important to consider the relationship with height loss.

Indexed as

AgedAged, 80 and overAge FactorsAgingBody CompositionBody HeightCohort StudiesCross-Sectional StudiesFemaleHumansIndependent LivingJapanLow Back PainMalePrevalenceRisk FactorsGeriatricsHealth examinationLumbagoMuscle mass

Identifiers

PMID31077175
PMCPMC6511157
OpenAlexW2947660768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.