ArticleDiscover mental health2025
Correlation between a healthy lifestyle index, quality of life, and depression in Iranian individuals with cardiovascular disease.
Article in Discover mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Lifestyle Adherence and Metabolic Control in Adults with Type 2 Diabetes: Development of a Lifestyle Compliance Index.Diagnostics (Basel, Switzerland) · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiovascular diseases (CVDs) are the leading cause of mortality worldwide and significantly impact patients' quality of life (QoL) and mental health. A healthy lifestyle has been recognized as an essential factor in reducing the burden of CVD and improving patient outcomes. This study aimed to investigate the relationship between the Healthy Lifestyle Index and QoL and depression among patients with CVD. METHODS AND MATERIALS: This descriptive-analytical cross-sectional study was conducted in 2024 among 182 patients with confirmed CVD who were referred to Imam Khomeini Hospital in Tehran. Data were collected using three validated instruments: a demographic questionnaire, the Short Form-12 Health Survey (SF-12) to assess QoL, and the Patient Health Questionnaire-9 (PHQ-9) to measure depression. The Healthy Lifestyle Index included physical activity, dietary habits, smoking, alcohol use, and social interaction. Generalized linear models were used to examine the associations between lifestyle components and outcomes (QoL and depression), adjusting for key confounders. All statistical analyses were performed using SPSS software version 22.
resultsThe findings showed that the mean SF-12 QoL score among participants was 84.29 (SD = 7.53), and the mean age was 59.54 years (SD = 11.73). Physically active patients had significantly higher QoL scores (mean = 88.3) compared to inactive individuals (mean = 82.1) (P < 0.001). Greater social interaction was also associated with better QoL (mean = 87.9 vs. 80.4, P < 0.001). In contrast, alcohol consumption was associated with lower QoL (mean = 79.2 vs. 85.1, P = 0.04). Smoking status, BMI, and healthy eating score were not significantly related to QoL. Moreover, participants with higher Healthy Lifestyle Index scores had lower depression scores (mean PHQ-9 = 5.2 vs. 8.7, P < 0.01).
conclusionThe results highlight the importance of promoting physical activity, reducing alcohol consumption, and encouraging social engagement as key components of healthy lifestyle interventions for patients with CVD. These strategies may effectively improve QoL and reduce depressive symptoms, underscoring the need for holistic and behaviorally focused approaches in the routine care of cardiovascular patients.
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.