ReviewGlobalization and health2012
Diabetes and depression comorbidity and socio-economic status in low and middle income countries (LMICs): a mapping of the evidence.
Review in Globalization and health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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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
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Who cites it
41 citing papers in PubMed, 102 citations in OpenAlex.
- Trial
- Living with type 2 diabetes: stress and daily life challenges among adults in the Ashanti Region, Ghana.BMC public health · 2026Article
- Interrelationship Between Socioeconomic Status, Depression, and Neuropathy in People with Diabetes: A Cross-Sectional Study.Journal of clinical medicine · 2026Article
- The forgotten - overcoming challenges in diabetes care for marginalized populations.Expert review of endocrinology & metabolism · 2025Review
- Renewable energy reduces domestic depression but increases depression for neighboring countries: evidence of spatial effects from 181 countries worldwide.BMC public health · 2025Article
- Combined symptoms of diabetes distress, depression, and anxiety and their association with glycemic control in primary care patients with type 2 diabetes in Egypt.Diabetology international · 2025Article
- The effect of socioeconomic status, depression, and diabetes symptoms severity on diabetes patient's life satisfaction in India.Scientific reports · 2024Article
- Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study.Diabetes & metabolism journal · 2024Article
- GLP-1 Receptor Agonists and Related Mental Health Issues; Insights from a Range of Social Media Platforms Using a Mixed-Methods Approach.Brain sciences · 2023Article
- Prevalence of Depression in Patients with Type 1 Diabetes between 10 and 17 Years of Age in Jordan.Journal of diabetes research · 2023Article
- Determining the reasons for unmet healthcare needs in South Korea: a secondary data analysis.Health and quality of life outcomes · 2021Article
- Mental health and diabetes self-management: assessing stakeholder perspectives from health centers in Northern Mexico.BMC health services research · 2021Article
- Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data.International journal for equity in health · 2021Article
- Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults.Journal of the American Geriatrics Society · 2020Article
- Factors associated with depression, anxiety and stress among patients with diabetes mellitus in primary health care: Many questions, few answers.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2020Article
- Factors Underlying Unmet Medical Needs: A Cross-Sectional Study.International journal of environmental research and public health · 2019Article
- Influence of pharmacological and epigenetic factors to suppress neurotrophic factors and enhance neural plasticity in stress and mood disorders.Cognitive neurodynamics · 2019Review
- The syndemics of diabetes and depression in Brazil - An epidemiological analysis.SSM - population health · 2019Article
- When Diabetes Confronts HIV: Biological Sub-citizenship at a Public Hospital in Nairobi, Kenya.Medical anthropology quarterly · 2018Article
- Determinants of excessive daytime sleepiness in two First Nation communities.BMC pulmonary medicine · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-communicable diseases account for more than 50% of deaths in adults aged 15-59 years in most low income countries. Depression and diabetes carry an enormous public health burden, making the identification of risk factors for these disorders an important strategy. While socio-economic inequalities in chronic diseases and their risk factors have been studied extensively in high-income countries, very few studies have investigated social inequalities in chronic disease risk factors in low or middle-income countries. Documenting chronic disease risk factors is important for understanding disease burdens in poorer countries and for targeting specific populations for the most effective interventions. The aim of this review is to systematically map the evidence for the association of socio-economic status with diabetes and depression comorbidity in low and middle income countries. The objective is to identify whether there is any evidence on the direction of the relationship: do co-morbidities have an impact on socio-economic status or vice versa and whether the prevalence of diabetes combined with depression is associated with socio-economic status factors within the general population. To date no other study has reviewed the evidence for the extent and nature of this relationship. By systematically mapping the evidence in the broader sense we can identify the policy and interventions implications of existing research, highlight the gaps in knowledge and suggest future research. Only 14 studies were found to analyse the associations between depression and diabetes comorbidity and socio-economic status. Studies show some evidence that the occurrence of depression among people with diabetes is associated with lower socio-economic status. The small evidence base that considers diabetes and depression in low and middle income countries is out of step with the scale of the burden of disease.
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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.