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Data · dataset · 2015

Low levels of vitamin D are associated with multimorbidity: Results from the LifeLines Cohort Study

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Background.

Description

The prevalence of multimorbidity (≥ 1 disease within an individual) is rapidly increasing. So far, studies on the relationship between vitamin D and morbidity are mainly focusing on effects on single disease domains only, while vitamin D biology is associated with several diseases throughout the human body.

Methods. We studied 8,726 participants from the LifeLines Cohort Study (a cross-sectional, population-based cohort study) and used the self-developed composite morbidity score to study the association between vitamin D levels and multimorbidity. Results.

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Study participants (mean age 45 ± 13 years, 73% females) had a mean plasma vitamin D level of 59 ± 22 nmol/L. In participants aged between 50 and 60 years, 58% had ≥ 2 affected disease domains, while morbidity score increased with age (70–80 years: 82% morbidity score > 1; > 80 years: 89% morbidity score > 1). Each incremental reduction by 1 standard deviation (SD) of vitamin D level was associated with an 8% higher morbidity score (full model OR 0.92, 95% CI 0.88–0.97, P = 0.001).

Participants with vitamin D levels < 25 nmol/L were at highest risk for increasing morbidity prevalence (versus > 80 nmol/L, OR 1.34, 95% CI 1.07–1.67, P = 0.01). Conclusions. Low levels of vitamin D are associated with higher prevalence of multimorbidity, especially in participants with vitamin D levels < 25 nmol/L. Collectively, our results favor a general, rather than an organ-specific, approach when assessing the impact of vitamin D deficiency.

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Mathematics
Inferred from text
Disease 75% · Longitudinal study 65%
Provenance · 1 source records, 15 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.156886510 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:life-sciencesmapping · DataCitevocabulary-mapper@1.0.0keywords['Biological Sciences']
concepts[field].local:field:mathematics-statisticsmapping · DataCitevocabulary-mapper@1.0.0keywords['Mathematics']
concepts[field].local:field:medicine-healthmapping · DataCitevocabulary-mapper@1.0.0keywords['Medicine']
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