Evidence map›Paper›PMID 34537387›Full record

ArticleJournal of clinical epidemiology2022

Specific body mass index trajectories were related to musculoskeletal pain and mortality: 19-year follow-up cohort.

Maja R Radojčić, Romain S Perera, Lingxiao Chen, Tim D Spector, Deborah J Hart, Manuela L Ferreira, Nigel K Arden

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Maja R RadojčićNuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom; Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, University of Oxford, Oxford, United Kingdom. Electronic address: maja.radojcic@ndorms.ox.ac.uk.
Romain S PereraNuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom; Department of Allied Health Sciences, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Lingxiao ChenFaculty of Medicine and Health, Institute of Bone and Joint Research, The Kolling Institute, University of Sydney, Sydney, Australia.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
Deborah J HartDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
Manuela L FerreiraFaculty of Medicine and Health, Institute of Bone and Joint Research, The Kolling Institute, University of Sydney, Sydney, Australia.
Nigel K ArdenNuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom; Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, University of Oxford, Oxford, United Kingdom.
Nuffield Orthopaedic Centre · GBKing's College London · GBThe University of Sydney · AU

Funding

Department of HealthVersus Arthritis 21595
6 · The paper itself

Abstract

objectiveWe aimed to study 19-year body mass index (BMI) patterns and their (1) bidirectional relationship with musculoskeletal pain and (2) mortality risk. STUDY DESIGN AND

settingWe used data from the Chingford study and group-based trajectory modelling to define 19-year BMI patterns. We investigated whether baseline back, hand, hip, and knee pain (as single- and multi-site) predicted 19-year BMI trajectory, and whether 19-year BMI patterns predicted pain in year 20. We explored BMI trajectories and mortality risk over 25 years (life expectancy).

resultsWe included 938 women (mean age: year-1=54, year-20=72) and found seven distinct 19-year BMI trajectories: two normal-weighted (reference), slightly overweight, lower and upper overweight-to-obese, lower and upper obese. BMI patterns capturing the increase overweight-to-obese (BMI 27-34 overtime) were bidirectionally related to knee and multi-site pain. The lower obese pattern (BMI 33-38) was unidirectionally associated with lower limb pain. Women with BMI above 40 had an increased all-cause and cardiovascular mortality risk.

conclusionFor most postmenopausal women, the overweight WHO category was a transition. Two patterns capturing increase overweight-to-obese were mutually related to musculoskeletal pain, i.e., knee and multi-site pain contributed to becoming obese, and trajectories of becoming obese increased the odds of experiencing pain later.

Indexed as

Musculoskeletal PainOverweightBody Mass IndexFemaleFollow-Up StudiesHumansObesityRisk FactorsBack painBody mass indexGroup-based trajectory modellingKnee painMortalityMusculoskeletal pain

Identifiers

PMID34537387
PMCPMC8982643
OpenAlexW3199503295

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.