Evidence map›Paper›PMID 41438209›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2026

Long-Term Change in Vitamin D Status and its Association With Change in Total Hip Bone Mineral Density in Older Women: A Population-Based Cohort Study.

Karl Michaëlsson, Håkan Melhus, Liisa Byberg, Eva Warensjö Lemming, Bodil Svennblad, Jonas Höijer, Hannah L Brooke

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 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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0cells of the map it votes in
0citing 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

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

7 authors.

Karl MichaëlssonMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala Sweden.
Håkan MelhusClinical Pharmacology, Department of Medical Sciences, Uppsala University, Uppsala Sweden.
Liisa BybergMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala Sweden.
Eva Warensjö LemmingMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala Sweden.
Bodil SvennbladMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala Sweden.
Jonas HöijerMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala Sweden.
Hannah L BrookeMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine if long-term constant low vitamin D status in the sunny season has a greater impact on bone mineral density (BMD) over time than long-term constant low vitamin D status in the dark season. Patients and Methods: In a longitudinal cohort study conducted from November 3, 2003 to May 22, 2019, 1802 Swedish women living in Uppsala County (latitude 58 Results: Compared with longitudinally sunny season constant S-25OHD>70 nmol/L, women with sunny season constant S-25OHD<40 nmol/L displayed 10.0% (95% CI,3.8%-16.1%) lower total hip BMD at follow-up. No difference in BMD was observed by dark season S-25OHD. Among women with baseline sunny season S-25OHD<45 nmol/L, each 20 nmol/L increase in S-25OHD during follow-up was associated with a 2.5% increase in hip BMD (95% CI,0.5-4.6). This estimate was attenuated when increasing the low S-25OHD cut-off and was not observed with dark season samples. Conclusion: Women with sunny season S-25OHD<40-50 nmol/L are a likely target group for vitamin D interventions to improve BMD. Blood samples taken during the dark season are less informative for determining future bone health.

Identifiers

PMID41438209
PMCPMC12720181

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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.