The Prevalence of Chronic Physical Diseases Comorbid with Depression among Different Sex and Age Groups in South Korea: A Population-Based Study, 2007–2014

Park, Se Jin; Hong, Seungyeon; Jang, Hyesue; Jang, Jung Won; Yuk, Boram; Kim, Chul Eung; Park, Subin

doi:10.30773/pi.2017.09.11

Cited by 11 publications

(6 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our results support and extend the results of previous studies reporting a high prevalence of pre-existing or comorbid diseases in patients with depression. Most previous studies have been cross-sectional or small case–control studies focused on specific comorbid diseases 2 3 12–15. Two large case–control studies conducted in the USA, using electronic health records at the Mayo Clinic16 and South Korea, using the National Health Insurance Service,17 identified pre-existing chronic physical conditions that were risk factors for the development of MDD.…”

Section: Discussionmentioning

confidence: 99%

Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data

et al. 2022

View full text Add to dashboard Cite

ObjectivesMajor depressive disorder (MDD) is often comorbid with other chronic and/or serious diseases. However, little is known about the prevalence of various diseases that are present before MDD onset. We examined the prevalence of all pre-existing diseases in the 12 months before an MDD diagnosis.DesignExploratory nested case–control study.SettingData, including diagnoses based on International Statistical Classification of Diseases and Related Health Problems, 10th revision codes, were from a Japanese health insurance database (JMDC).ParticipantsAdults newly diagnosed with MDD during 2015, 2016 or 2017 (but not the preceding year) (cases) were matched (exact) 1:10 to controls by age, sex, index date and working status.Primary and secondary outcome measuresThe primary outcome was the proportion of patients in each group with each pre-existing disease during the 12 months before the index date (ie, before MDD diagnosis in cases). Odds ratios (ORs) for onset of MDD were calculated for each pre-existing disease. A post hoc multivariate analysis examined interactions of metabolic risk factors (diabetes, hypertension, dyslipidaemia), psychiatric disorders (sleep disorders, psychiatric disorders other than depression) and MDD-related symptoms (headache, pain, autonomic nerve imbalance) on MDD diagnosis.ResultsThere were 13 420 cases and 134 200 controls (mean age 41.9 years; 66.5% male). The prevalence of almost all pre-existing diseases was higher in cases than in controls. The highest ORs (5.8–21.0) were for psychiatric diseases and sleep disorders. Insomnia (21.1% of patients; OR 8.7) and neurosis (9.7%; OR 10.6) were particularly prevalent in the case group. The odds of MDD increased in the presence of metabolic risk factors, psychiatric disorders and/or MDD-related symptoms.ConclusionsThere is a high prevalence of pre-existing diseases in Japanese patients who develop MDD compared with matched controls without MDD. These results suggest that patients with chronic and/or serious diseases should be actively monitored for depression.

show abstract

Section: Discussionmentioning

confidence: 99%

Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Moreover, spine fractures are caused by relatively low-trauma injuries compared with other osteoporotic fractures. Thus, women may be more affected by spine fractures than men 36. In men, high-trauma fractures, such as hip fractures, are 3.12 times more frequent than those in women (95% CI 1.70 to 5.71) 37.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the increased risk of spine fracture in patients with mood disorder compared with matched controls: a longitudinal follow-up study using a national sample cohort in Korea

et al. 2019

View full text Add to dashboard Cite

ObjectiveTo evaluate the risk of spine fracture in patients with mood disorder using a nationwide cohort.DesignA longitudinal follow-up study.SettingClaims data for the population ≥20 years of age were collected from 2002 to 2013 for the Korean National Health Insurance Service-National Sample Cohort.ParticipantsA total of 60 140 individuals with mood disorder were matched with 240 560 individuals (control group) for age, sex, income, region of residence and osteoporosis.InterventionsIn both the mood disorder and control groups, the history of spine fracture was evaluated. The International Classification of Diseases 10th Revision codes for mood disorder (F31–F39) and spine fracture (S220 and S320) were included.Primary and secondary outcome measuresThe univariable and multivariable HRs and 95% CIs of spine fracture for patients with mood disorder were analysed using a stratified Cox proportional hazards model. Subgroup analyses were conducted according to the history of osteoporosis, age and sex.ResultsApproximately 3.3% (2011/60 140) of patients in the mood disorder group and 2.8% (6795/240 560) of individuals in the control group had spine fracture (p<0.001). The mood disorder group demonstrated a higher adjusted HR for spine fracture than the control group (multivariable HR=1.10, 95% CI 1.04 to 1.15, p<0.001). The participants without osteoporosis showed a higher HR of mood disorder for spine fracture than the control participants (multivariable HR=1.25, 95% CI 1.14 to 1.37, p<0.001). According to age and sex, this result was consistent in subgroups of women aged 20–39 and 40–59 years and men aged ≥60 years.ConclusionThe risk of spine fracture was increased in patients with mood disorder. The potential risk of spine fracture needs to be evaluated when managing patients with mood disorder.

show abstract

“…There are several pre-pandemic studies that indicate that multimorbidity may contribute to depression, [67][68][69]74,75,84,86,105,[134][135][136][137] including neurocognitive impairment. 138 With the pandemic, this conclusion still holds, and six studies were identified in this review that report the same, 31,41,59,79,85,139 of which two specify the contribution of self-reported pain 49,58 and neurocognitive impairment.…”

Section: Clinical Factorsmentioning

confidence: 99%

Depression in older adults during the COVID‐19 pandemic: A systematic review

Silva

Fonseca

Ferreira

et al. 2023

J American Geriatrics Society

View full text Add to dashboard Cite

Background Depression affected 5.7% of people aged 60 years and over prior to the pandemic and has increased by approximately 28%. The aim of this study is to identify and describe factors associated with depressive symptoms, the diagnostic assessment instruments and interventions used to evaluate and treat depression in adults aged 60 years and older since the onset of the COVID‐19 pandemic. Methods Four electronic databases were systematically searched to identify eligible studies published since the beginning of the COVID‐19 pandemic. A total of 832 articles were screened, of which 53 met the inclusion criteria. Results Factors contributing to depressive symptoms in older adults prior to the pandemic were grouped into the following categories: sociodemographic characteristics (i.e., being female); loneliness and weak social support; limitations in daily functioning, physical activity and neurocognitive impairment; and clinical factors. The following groups of factors directly related to the pandemic were found: stress‐related factors and feelings or worries related to the pandemic; information access (e.g., receiving news about COVID‐19 through the media); factors directly related to COVID‐19 (e.g., having infected acquaintances); and factors related to the measures that were taken to reduce the spread of COVID‐19 (e.g., confinement measures). The most frequently used instrument to assess depressive symptoms was the Geriatric Depression Scale Short Form (GDS‐SF). Four studies implemented interventions during the pandemic that led to significant reductions in depressive symptoms and feelings of loneliness. Conclusions Improved understanding of pandemic‐associated risk factors for depression can inform person‐cantered care. It is important continued mental healthcare for depression for older adults throughout crises, such as the COVID‐19 pandemic. Remote delivery of mental healthcare represents an important alternative during such times. It is crucial to address depression in older adults (which often causes disability), since the pandemic situation has increased depressive symptoms in this population.

show abstract

The Prevalence of Chronic Physical Diseases Comorbid with Depression among Different Sex and Age Groups in South Korea: A Population-Based Study, 2007–2014

Cited by 11 publications

References 33 publications

Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data

Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data

Evaluation of the increased risk of spine fracture in patients with mood disorder compared with matched controls: a longitudinal follow-up study using a national sample cohort in Korea

Depression in older adults during the COVID‐19 pandemic: A systematic review

Contact Info

Product

Resources

About