Ahmad Delbari , Mariye Jenabi Ghods, Mohammad Saatchi, Mohammad Bidkhori, Fatemeh-Sadat Tabatabaei, Mahshid Foroughan, Elham Hooshmand,
Volume 21, Issue 2 (6-2024)
Abstract
Background: Depression and anxiety are the most frequent and devastating mental diseases among older adults. Several variables are identified as contributing to the development of these illnesses. The present study was conducted to investigate the prevalence of depression, anxiety, and their related factors in older individuals residing in Ardakan.
Methods: The current cross-sectional study was based on the data obtained from the first phase of the Ardakan aging cohort of 5176 older adults. Depression and anxiety were evaluated using CESD-10 and HADS-A scales, respectively. Moreover, the relationships between these outcomes and the related factors were evaluated using the logistic and linear regression.
Results: The prevalence of depression and anxiety was estimated to be about 17% and12%, respectively. Poor perception of health) OR=2.29, CI95% 1.79 to 2.93), Low perceived economic status (OR=2.11, CI95% 1.71 to 2.60), Receiving care (OR=1.66, CI95% 1.39 to 1.97), affecting by neurological disease (OR=1.37, CI95% 1.11 to 1.69), Gastrointestinal diseases (OR=1.48, CI95% 1.23 to 1.77) were significantly associated with the presence of depression. Female gender, Poor perception of health and economic status, receiving, and providing care, and suffering from neurological, cardiovascular, gastrointestinal, and respiratory diseases were related to higher anxiety scores.
Conclusion: The prevalence of depression and anxiety among the participants was relatively significant, and these variables were significantly correlated with several factors, including health and economic status and receiving/providing care. These findings highlight the significance of taking into account several socio-economic, health-related, and gender-specific aspects when dealing with mental health disorders including depression and anxiety in this particular age demographic. By identifying the risk factors, healthcare professionals can better target interventions and support systems to manage and mitigate the effect of these mental health disorders.
Hamidreza Khankeh , Mohammad Saatchi , Mahdieh Motie , Shima Shirozhan , Ulrich Dirnagl ,
Volume 22, Issue 1 (3-2025)
Abstract
Background: The qualitative research paradigm is crucial for understanding complex human phenomena, making credibility essential for its findings. Challenges in applying quality assessment criteria and promoting responsible practices in biomedical research underscore the need to review strategies, practices, and challenges in evaluating the quality of qualitative research. This protocol aims to support a multi-method study that develops evidence-informed, comprehensive, and practical recommendations to enhance quality assurance in qualitative research within the biomedical field.
Methods: This multi-method study protocol consists of three phases: a systematic scoping review, qualitative content analysis, and a Delphi survey. The scoping review will follow Arksey and O’Malley’s five-step approach, using relevant keywords to guide a systematic search across databases such as PubMed, CINAHL, Web of Science, Scopus, and Embase, with no time restrictions. Qualitative content analysis will follow Graneheim and Lundman’s (2004) method. Purposeful sampling will be used to select experts in qualitative research. Semi-structured interviews will collect their experiences in evaluating qualitative research quality. Based on the review and interview findings, comprehensive, evidence-informed, and practical recommendations within the biomedical field will be developed and further refined using the Delphi method.
Conclusion: This study aims to critically examine quality achievement and evaluation in the qualitative paradigm and identify challenges, practices, and strategies through a review of existing evidence, focusing on related experiences and perceptions. The study also seeks to address gaps and controversies in the literature using qualitative content analysis. Ultimately, the goal is to develop comprehensive, evidence-informed, and practical recommendations to enhance quality assurance in qualitative research.
