ReviewMateria socio-medica2024
Unveiling the Nexus: Depressive Symptoms and Medication Adherence in Hypertensive Patients' Self-care: A Systematic Review.
Review in Materia socio-medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Do Physicians' Behaviors Matter for Patients With Chronic Diabetes and Hypertension? A Qualitative Descriptive Study of Patients' Lived Experiences in the Bangladeshi Healthcare Landscape.Health science reports · 2026Article
- Article
- Hypertension and depression coexistence and its association with frailty in older adults: a cross-sectional study.Dementia & neuropsychologia · 2026Article
- Psychosocial predictors of non-adherence to antihypertensive medication among Korean adults: A nationwide cross-sectional study.PloS one · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hypertension, a significant public health concern, is frequently linked to emotional disorders like depression. Research shows a reciprocal link between depression and hypertension, potentially influencing patients' adherence to self-care routines. Objective: This systematic review aimed to examine the association between depressive symptoms and aspects of self-care, with a focus on medication adherence in individuals diagnosed with hypertension. Methods: Following PRISMA guidelines, a systematic review was conducted by searching PubMed, PsycINFO and Scopus until March 17, 2023. The included studies involved quantitative primary research conducted in English, focusing on adults (≥18 years) diagnosed with hypertension and experiencing depressive symptoms. Observational studies were assessed using the Newcastle-Ottawa Scale, and randomized controlled trials were evaluated using the revised Cochrane Risk of Bias Tool (RoB 2.0). Due to the great diversity of these studies, a narrative synthesis of the results was undertaken. Results: A total of 18 studies involving 6,131 people with hypertension, that met our eligibility criteria were ultimately included. The reported rates of depressive symptoms ranged from 4% to 43%. Of these studies, nine reported a statistically significant association, showcasing an adverse impact of depressive symptoms on medication adherence. The remaining nine did not confirm the above. Conclusion: This systematic review highlights the diverse body of research exploring depressive symptoms and medication adherence among individuals with hypertension. The review suggests a need for increased attention to self-care practices, particularly in relation to adherence to antihypertensive medication. However, it recommends the conduction of more robust longitudinal studies to comprehensively explore this relationship.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.