Evidence map›Paper›PMID 26093655›Full record

ArticlePsychopharmacology2015

The impact of age and gender on adherence to antidepressants: a 4-year population-based cohort study.

Amir Krivoy, Ran D Balicer, Becca Feldman, Moshe Hoshen, Gil Zalsman, Abraham Weizman, Gal Shoval

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Article in Psychopharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  13. Factors Associated with Antidepressant Medication Non-adherenceTurkish journal of pharmaceutical sciences · 2021
    Article
  14. Article
  15. Article
  16. Sex differences in antidepressant efficacy.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019
    Review
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Amir KrivoyClalit Research Institute, Chief Physician Office, Clalit Health Services, Tel Aviv, Israel.
Ran D Balicer
Becca Feldman
Moshe Hoshen
Gil Zalsman
Abraham Weizman
Gal Shoval

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImpaired adherence is common among patients using antidepressant drugs (ADs). However, few studies investigated the role of age and gender in adherence to AD and finding conflict.

objectiveThis study aimed to determine how gender and age impact adherence to AD in a large-scale cohort.

methodsWe conducted a historical cohort study (N = 310,994 individuals) that claimed AD prescriptions during a 4-year period. Adherence was defined as the ratio between the duration of claimed AD prescriptions and the duration of continuously prescribed AD.

resultsSubstantial differences in the mean adherence to AD were noted throughout the lifespan, ranging from 0.38 (first decade) to 0.63 (tenth decade). Average adherence was significantly higher for males aged 20-40 years than for females of that age, but this relationship reversed later in life (50-70 years). A regression analysis model of adherence as the dependent variable showed a significant interaction between age and gender variables (beta = 0.001, p < 0.0001).

conclusionsThis study demonstrates the effect of age and gender, and their interaction, on adherence to AD across the entire life span. The marked age- and modest, yet significant, gender-related effects should be taken into consideration when targeting impaired adherence to these commonly prescribed medications.

Indexed as

Drug MonitoringAdolescentAdultAgedAged, 80 and overAge FactorsAntidepressive AgentsChildChild, PreschoolCohort StudiesEmigrants and ImmigrantsFemaleHumansInfantInfant, NewbornLinear ModelsAntidepressive Agents

Identifiers

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Registered trials

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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.