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Cited by 61Medication Adherence and ComplianceMental Health Treatment and AccessPsychotherapy Techniques and Applications

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Predictors of antidepressant adherence: Results of a Japanese Internet‐based survey

Shigemura, Jun, Ogawa, Tetsuo, Yoshino, Aihide, Sato, Yutaka, Nomura, Soichiro·2010·Psychiatry and Clinical Neurosciences
DOI 10.1111/j.1440-1819.2009.02058.x
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Abstract

Aim: The purpose of the present study was to identify the psychosocial/pharmacological predictors of antidepressant (AD) adherence. Methods: An Internet‐based survey was conducted among 1151 Japanese individuals with major depressive disorder. Subjects were asked to report their degree of non‐adherence for each AD taken using a 5‐point Likert scale: 0, never forget; 1, rarely forget; 2, occasionally forget; 3, sometimes forget; and 4, often forget. The highest number reported among each subject was assigned as their low adherence index (LAI). Individuals with an LAI ≥ 3 were defined as members of the low adherence (LA) group. Predictors of LA was analyzed using bivariate and multivariate models, both among the total number of subjects and single AD subgroup (n = 657). Results: Nearly one‐third of subjects (n = 381, 33.1%) reported LA. On bivariate analysis, LA was associated with lower age, worker or student status (vs unemployed or housewife), higher daily dosing frequency (DDF), low drug satisfaction, and a neutral/negative doctor–patient relationship (DPR; P < 0.001). In a multivariate model, LA was predicted by age (≤34 years: odds ratio [OR], 1.64), worker or student status (OR, 1.87), higher DDF (≥twice daily: OR, 1.61), and neutral/negative DPR (OR, 1.54; P < 0.01). Among the single‐AD subgroup, adherence was similar between those on selective serotonin reuptake inhibitors/serotonin‐noradrenaline reuptake inhibitors and tricyclics. Use of neither medication was associated with adherence in a multivariate model. Conclusion: LA was predicted by lower age, worker or student status, higher DDF, and neutral/negative DPR. Adherence was not significantly different between subjects on newer agents and tricyclics.

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Crossref · 10.1111/j.1440-1819.2009.02058.x

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Research works printed but not linked: 1

  1. Internet Association Japan, 2006, Internet White Paper 2006

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Metadata

Authors
Shigemura, J., Ogawa, T., Yoshino, A., Sato, Y., & Nomura, S.
Affiliations
National Defense Medical College Hospital (JP)
Corresponding author
Shigemura, Jun
ORCID
Venue
Psychiatry and Clinical Neurosciences
Publisher
Wiley
Published
2010-03-24
Volume
64
Issue
2
Pages
179-186
ISSN
  • 1323-1316 (ISSN-L)
  • 1440-1819
DOI
10.1111/j.1440-1819.2009.02058.x
OpenAlex
W2060173044
Cited by
61
References
27
Citations by year
2026: 1 · 2025: 25 · 2024: 2 · 2022: 1 · 2021: 4 · 2020: 4 · 2019: 3 · 2017: 1 · 2016: 2 · 2015: 4 · 2014: 1 · 2013: 2 · 2012: 7
FWCI
3.79
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations
  • Psychiatry and Clinical Neurosciences (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
  • Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
Keywords
antidepressant adherence, medication non-adherence, major depressive disorder, predictors of adherence, physician-patient relationship, age, employment status, selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, tricyclic antidepressants, Japanese patients
MeSH terms
Adult, Antidepressive Agents, Depressive Disorder, Female, Health Surveys, Humans, Japan, Male, Middle Aged, Surveys and Questionnaires, Drug Monitoring, Patient Satisfaction, Internet

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