ArticlePsychiatry investigation2018
The Prevalence of Chronic Physical Diseases Comorbid with Depression among Different Sex and Age Groups in South Korea: A Population-Based Study, 2007-2014.
Article in Psychiatry investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Exercise-based and mind-body movement interventions for depressive symptoms in patients with inflammatory bowel disease: a systematic review and meta-analysis of randomized controlled trials.Frontiers in psychiatry · 2026Pooled it
- The relationship between premature ejaculation and depressive symptoms in HIV-infected men: a multicenter case-control study.BMC urology · 2026Article
- Evaluation of primary oral health-related factors predicting depression before and after the COVID-19 pandemic using KNHANES data.BMC public health · 2025Article
- P2X7 receptor: a potential target for treating comorbid anxiety and depression.Purinergic signalling · 2025Review
- Depressive symptoms of older adults with chronic diseases: the mediating roles of activities of daily living and economic burden of diseases.Frontiers in psychology · 2024Article
- Article
- Predictors of Depressive Symptoms Based on the Human Capital Model Approach: Findings From the Indonesia Family Life Survey.The Yale journal of biology and medicine · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePeople with depression often suffer from comorbid, chronic physical diseases. Little is known about how demographic characteristics such as age and sex influence the prevalence of chronic physical diseases comorbid with depression. Therefore, this study aimed to explore the age and sex differences in the prevalence of diverse, chronic physical diseases comorbid with depression.
methodsThis cross-sectional survey were conducted with the participants (n=45,598) of the Korean National Health and Nutrition Examination Survey (KNHANES). Using log-binomial regression, age adjusted prevalence ratios (APR) of chronic physical diseases of participants with depression and those without depression were estimated for each sex and age group.
resultsThe APR of most chronic physical diseases were significantly higher among respondents with depression than those without depression. Chronic physical diseases that showed the highest APR were asthma in adult male respondents (APR=3.46) and adult female respondents (APR=2.19) and chronic renal failure in elderly male respondents (APR=8.36) and elderly female respondents (APR=1.94).
conclusionPrevalence ratios of the chronic physical diseases comorbid with depression differed according to sex and age groups. Collaborative care strategies should be designed according to demographic characteristics of the population.
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.