ArticleDiabetes spectrum : a publication of the American Diabetes Association2014
Depression and Risk Perceptions in Older African Americans With Diabetes.
Article in Diabetes spectrum : a publication of the American Diabetes Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 19 citations in OpenAlex.
- Article
- Article
- Evaluating the mental health impacts of the COVID-19 pandemic: perceived risk of COVID-19 infection and childhood trauma predict adult depressive symptoms in urban South Africa.Psychological medicine · 2022Article
- Elevated Perceived Risk for HIV as a Barrier to Accessing Health Care Among Black Men Who Have Sex with Men.Prevention science : the official journal of the Society for Prevention Research · 2020Article
- Comorbid Diabetes and Depression in African Americans: Implications for the Health Care Provider.Journal of racial and ethnic health disparities · 2018Review
- Person-Centered Fall Risk Awareness Perspectives: Clinical Correlates and Fall Risk.Journal of the American Geriatrics Society · 2016Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective. The purpose of this study is to describe the impact of depression on perceptions of risks to health, diabetes self-management practices, and glycemic control in older African Americans with type 2 diabetes. Methods. The authors analyzed data on depression, risk perceptions, diabetes self-management, and A1C in African Americans with type 2 diabetes. T-tests, χ(2), and multivariate regression were used to analyze the data. Results. The sample included 177 African Americans (68% women) whose average age was 72.8 years. Thirty-four participants (19.2%) met criteria for depression. Compared to nondepressed participants, depressed participants scored significantly higher on Personal Disease Risk (the perception of being at increased risk for various medical problems), Environmental Risk (i.e., increased risk for environmental hazards), and Composite Risk Perception (i.e., overall perceptions of increased risk); adhered less to diabetes self-management practices; and had marginally worse glycemic control. Depression and fewer years of education were independent predictors of overall perception of increased health risks. Conclusion. Almost 20% of older African Americans with type 2 diabetes in this study were depressed. Compared to nondepressed participants, they tended to have fewer years of education, perceived themselves to be at higher risk for multiple health problems, and adhered less to diabetes self-management practices. It is important for diabetes educators to recognize the impact of low education and the fatalistic perceptions that depression engenders in this population.
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.