Evidence map›Paper›PMID 41832228›Full record

ArticleScientific reports2026

High alcohol consumption and early hip fracture risk in men and women.

Charlotta Elleby, Pia Skott, Sven-Erik Johansson, Sven Nyrén, Holger Theobald, Helena Salminen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Charlotta EllebyDepartment of Dental Medicine, Karolinska Institutet, Huddinge, Sweden. charlotta.elleby@ki.se.
Pia SkottDepartment of Dental Medicine, Karolinska Institutet, Huddinge, Sweden.
Sven-Erik JohanssonCentre for Primary Health Care Research, Department of Clinical Sciences, Lund University, Malmö, Sweden.
Sven NyrénDepartment of Radiology, Karolinska University Hospital, Solna, Sweden.
Holger TheobaldDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
Helena SalminenDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our aim was to study whether hospitalizations due to high alcohol consumption, as an objective indicator of high alcohol consumption, is associated with hip fractures in non-elderly adults. The participants in this study consist of 10,043 men and women in a survey study in Stockholm 1969-70, when they were 18–25 years old. We used data on hospitalization events due to a hip fracture or a diagnosis indicating high alcohol consumption from 1970 to 2016 acquired from the National Patient Register. This allowed 47 years of follow-up, until the participants were 65–72 years old, an age-span that can be described as “non-elderly adults”. A Cox regression model was used to estimate the hazard ratio (HR) of hip fractures, comparing individuals with and without a diagnosis indicating high alcohol consumption, treating this exposure as a time-varying covariate. There were 151 participants with at least one hip fracture, 86 women and 65 men. There were 450 participants, 173 women and 277 men, who had an alcohol related event, as an indication of alcohol abuse, during the follow-up time of which 24 (10 women and 14 men) also experienced a hip fracture. We found an elevated HR for hip fractures for non-elderly women (HR = 4.59, 95% CI = 2.12–9.95, p < 0.001) and men (HR = 7.65, 95% CI = 4.07–14.36, p < 0.001) with a previous hospitalization-diagnosis indicating high alcohol consumption.

Indexed as

Alcohol DrinkingHip FracturesAdolescentAdultAgedFemaleHospitalizationHumansMaleMiddle AgedProportional Hazards ModelsRisk FactorsSwedenYoung AdultAlcoholismFracture risk assessmentHigh alcohol consumptionHip fracturesOsteoporosis

Identifiers

PMID41832228
PMCPMC12992772

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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.