Evidence map›Paper›PMID 37723432›Full record

ArticleBMC geriatrics2023

Trajectories of CVD medication after statutory retirement: contributions of pre-retirement sociodemographic, work and health-related factors: a register study in Finland.

Jaakko Harkko, Olli Pietiläinen, Pekka Jousilahti, Ossi Rahkonen, Anne Kouvonen, Tea Lallukka

Abstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Jaakko HarkkoFaculty of Social Sciences, University of Helsinki, Helsinki, Finland. jaakko.harkko@helsinki.fi.ORCID http://orcid.org/0000-0001-8682-1544
Olli PietiläinenDepartment of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0003-2764-0182
Pekka JousilahtiDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID http://orcid.org/0000-0001-7190-0979
Ossi RahkonenDepartment of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-7202-3274
Anne KouvonenFaculty of Social Sciences, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0001-6997-8312
Tea LallukkaUniversity of Helsinki, P.O. Box 20 (Tukholmankatu 8 B), N00014, Helsinki, Finland. tea.lallukka@helsinki.fi.ORCID http://orcid.org/0000-0003-3841-3129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVDs) are prevalent in older people, but few studies focus on developmental patterns in CVD medication directly after transition to statutory retirement. We thus aimed to identify trajectories of CVD medication after retirement, and their sociodemographic, work and health-related determinants.

methodsWe used complete register data of former employees of the City of Helsinki, Finland. All who reached their statutory retirement in 2000-2013, with five-year follow-up data (n = 6,505, 73% women), were included. Trajectories of CVD medication were identified with group-based trajectory modelling using data from Finnish Social Insurance Institution's reimbursement register. Sociodemographic, work and health-related determinants of trajectory group membership were analysed using multinomial logistic regression.

resultsSix trajectories of CVD medication were distinguished: "constant low" (35%), "late increase" (6%), "early increase" (5%), "constant high" (39%), "high and decreasing " (8%), and "low and decreasing" (7%). The majority (74%) of the retirees fell into the "constant low" and "constant high" categories. Lower occupational class and increased pre-retirement sickness absence were associated with the "constant high" trajectory. Further, those with lower educational attainment were more prone to be in the "early increase" trajectory.

conclusionsIndividuals in lower socioeconomic positions or with a higher number of pre-retirement sickness absence may be considered at higher risk and might benefit from early interventions, e.g. lifestyle interventions and interventions targeting working conditions, or more frequent monitoring.

Indexed as

Cardiovascular DiseasesAgedEducational StatusFemaleFinlandHumansLife StyleMaleRetirementAgeingPharmaceuticalsRegistersRetirementSocial determinants of health

Identifiers

PMID37723432
PMCPMC10506324

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.