Evidence map›Paper›PMID 34080633›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2022

The Age-Dependent Association Between Vascular Risk Factors and Depressed Mood.

Maria Blöchl, H Lina Schaare, Ute Kunzmann, Steffen Nestler

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Vascular Schizophrenia-like Psychosis in Older Adults.Journal of clinical medicine · 2023
    Article
  9. Review
  10. Article
  11. The enigma of vascular depression in old age: a critical update.Journal of neural transmission (Vienna, Austria : 1996) · 2022
    Review
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

4 authors.

Maria BlöchlDepartment of Psychology, University of Münster, Germany.ORCID 0000-0002-6844-8536
H Lina SchaareOtto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Ute KunzmannDepartment of Psychology, Leipzig University, Germany.
Steffen NestlerDepartment of Psychology, University of Münster, Germany.

Funding

NIA NIH HHS RO1AG7644
6 · The paper itself

Abstract

objectivesCumulative burden of vascular risk factors (VRFs) has been linked to an increased risk of depressed mood. However, the role of age in this association is still unclear. Here, we investigated whether VRF burden is associated with levels and changes in depressed mood and whether these associations become stronger or weaker from mid- to later life.

methodWe used longitudinal data from 5,689 participants (52-89 years) of the English Longitudinal Study of Ageing. A composite score incorporated the presence of 5 VRFs: hypertension, diabetes, smoking, obesity, and hypercholesterolemia. Second-order latent growth models were used to test whether levels and changes of depressed mood differed as a function of baseline VRF burden, and whether these associations were moderated by age.

resultsBaseline VRF burden showed a small association with higher levels of depressed mood (estimate = 0.081; 95% CI: 0.024, 0.138, p = .005). This association varied with age, such that it was stronger in midlife compared to later life (estimate = -0.007; 95% CI: -0.013, -0.002, p = .017). There was no evidence that VRF burden was associated with changes in depressed mood. DISCUSSION: Our findings suggest that VRF burden in midlife, but less so in later life, predicts individual differences in depressed mood. These findings are consistent with reports on the importance of midlife VRFs and support the idea that promotion of vascular health in this age group or earlier in life may be critical to maintain mental health across adulthood.

Indexed as

AgingDepressionHypertensionAged, 80 and overAge FactorsFemaleHeart Disease Risk FactorsHumansLife Course PerspectiveMaleMiddle AgedRisk AssessmentRisk FactorsAgingCardiovascular healthDepressionLatent growth modelsVascular depression hypothesis

Identifiers

PMID34080633
PMCPMC8824621

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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.