Prevalence and risk factors for depression in outpatient departments of three general hospitals in China: a cross-sectional study

Luo, Xinni; Ke, Xisong; Li, Haiyan; Dai, Qing; Zhang, Chanjuan; Zheng, Wei; Fang, Ziyan; Wu, Fengchun; Ning, Yuping

doi:10.1080/13651501.2019.1687723

Cited by 5 publications

(4 citation statements)

References 60 publications

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“…In contrast to a previous study on epilepsy, 37 increased age and the age at the onset of epilepsy were observed to reduce the odds of depression in PWE. This finding is consistent with community-based studies 42 as well as hospitalbased studies 43 that have demonstrated a significant association between younger age and depression. The possible explanation for the agerelated decline in susceptibility to depression may be that older people are better at using psychological strategies to cope with stressful experiences than younger.…”

Section: Discussionsupporting

confidence: 91%

Prevalence and risk factors of anxiety and depression in adult patients with epilepsy: a multicenter survey-based study

Shi,

Sun,

Peng

et al. 2023

Ther Adv Neurol Disord

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Background: Depression and anxiety are the most common psychiatric comorbidities in patients with epilepsy (PWE). However, they are often unrecognized and consequently untreated. Objective: The study was conducted to evaluate the prevalence and risk factors of anxiety and depression among Chinese adult PWE. Design: Cross-sectional study. Methods: Adult PWE were recruited from 13 tertiary epilepsy centers from February to September 2022. Generalized Anxiety Disorder-7 and Neurological Disorders Depression Inventory for Epilepsy were applied to evaluate anxiety and depression, respectively. Both univariate and multivariate logistic regression analyses models were performed to explore the risk factors of anxiety and depression. Results: A total of 1326 PWE were enrolled in this study. The prevalence of anxiety and depression was 31.45% and 27.30%, respectively. Being female [odds ratio (OR) = 1.467, 95% CI: 1.134–1.899; p = 0.004], focal and focal to bilateral tonic-clonic seizures (TCSZ) (OR = 1.409, 95% CI: 1.021–1.939; p = 0.036), and seizure occurrence in the last 3 months (OR = 1.445, 95% CI: 1.026–2.044; p = 0.036) were the risk factors for anxiety. Focal and focal to bilateral TCSZ (OR = 1.531, 95% CI: 1.094–2.138; p = 0.013) and seizure occurrence in the last 3 months (OR = 1.644, 95% CI: 1.130–2.411; p = 0.010) were the risk factors for depression. In addition, for every 1-year increment of age, the odds of developing depression were decreased by 3.8% ( p = 4.12e−5). Nevertheless, up to 70% of PWE did not receive any treatment for comorbidity. Conclusion: There were approximately 30% of PWE screened positive for anxiety or depression. Both focal and focal to bilateral TCSZ and seizure occurrence in the last 3 months were estimated as risk factors for anxiety and depression. However, the current status of treatment was not optimal.

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Section: Discussionsupporting

confidence: 91%

Prevalence and risk factors of anxiety and depression in adult patients with epilepsy: a multicenter survey-based study

Shi,

Sun,

Peng

et al. 2023

Ther Adv Neurol Disord

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“…There have been many studies on the relationship between depression and BMI, but consistency has been poor. There is a range from negative correlation studies ( 37 – 41 ) on “happy obesity” to positive correlation studies ( 42 , 43 ), and there are also studies showing that the correlation between BMI and depression can be ignored ( 44 ). Our results showed that BMI was negatively associated with depression, although the correlation coefficient was small.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of depression and its correlation with anxiety, headache and sleep disorders among medical staff in the Hainan Province of China

Xiao

et al. 2023

Front. Public Health

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ObjectiveThis cross-sectional survey aimed to investigate the prevalence of depression among medical staff and its risk factors as well as the association between depression, anxiety, headache, and sleep disorders.MethodsStratified random cluster sampling was used to select medical staff from various departments of four hospitals in Sanya City. The Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), and Pittsburgh Sleep Quality Index (PSQI) were used to quantitatively assess depression, anxiety, and sleep disorders. Correlation and regression analyses were performed to determine factors affecting the depression occurrence and scores.ResultsAmong 645 medical staff members, 548 (85%) responded. The 1-year prevalence of depression was 42.7% and the prevalence of depression combined with anxiety, headache, and sleep disorders was 23, 27, and 34.5%, respectively. The prevalence of depression in women, nurses, the unmarried or single group, and the rotating-shift population was significantly higher than that in men (48.3% vs. 27.1%, odds ratio OR = 2.512), doctors (55.2% vs. 26.7%, OR = 3.388), the married group (50.5% vs. 35.8%, OR = 1.900), and the day-shift population (35.2% vs. 7.5%, OR = 1.719). The occurrence of depression was correlated with anxiety, sleep disorders, headache, and migraines, with anxiety having the highest correlation (Spearman’s Rho = 0.531). The SDS was significantly correlated with the SAS and PSQI (Spearman’s Rho = 0.801, 0.503) and was also related to the presence of headache and migraine (Spearman Rho = 0.228, 0.159). Multiple logistic regression indicated that nurse occupation and anxiety were risk factors for depression, while grades of anxiety, sleep disorders and nurse occupation were risk factors for the degree of depression in multiple linear regression.ConclusionThe prevalence of depression among medical staff was higher than that in the general population, especially among women, nurses, unmarried people, and rotating-shift workers. Depression is associated with anxiety, sleep disorders, headache, and migraines. Anxiety and nursing occupation are risk factors for depression. This study provides a reference for the promotion of occupational health among medical professionals.

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“…BMI and depression-There have been many studies on the relationship between depression and BMI, but consistency has been poor. From negative correlation studies(32-36) on "happy obesity" to positive correlation studies (37,38), there are also studies showing that the correlation between BMI and depression can be ignored (39). Our results showed that BMI was negatively associated with the occurrence of depression, but the correlation coe cient was small.…”

Section: Discussionmentioning

confidence: 45%

Prevalence of depression and its correlation with anxiety, headache and sleep disorders amongst medical staff in South China

Xiao

et al. 2022

Preprint

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Background The aim of this cross-sectional survey was to investigate the prevalence of depression in medical staff and its risk factors, as well as the association between depression, anxiety, headache, and sleep disorders. Methods Stratified random cluster sampling was used to select medical staff from various departments in four hospitals in Sanya City. The Self-rating Depression Scale(SDS), Self-rating Anxiety Scale (SAS) and Pittsburgh Sleep Quality Index (PSQI) were used to quantitatively score the depression, anxiety and sleep disorders. Correlation analysis and regression analysis were performed on the factors affecting the occurrence and severity of depression. Results Among 645 medical staff, 548 (85%) responded. The 1-year prevalence of depression was 42.7% and the prevalence of depression combined with anxiety, headache and sleep disorders was 23%, 27% and 34.5%. The prevalence of depression in females, nurses, unmarried or single group, and rotating-shift population was significantly higher than that in males(48.3% vs 27.1%, OR = 2.512), doctors(55.2% vs 26.7%, OR = 3.388), married group(50.5% vs 35.8%, OR = 1.900), and day-shift population(35.2% vs 7.5%, OR = 1.719). The occurrence of depression was correlated with anxiety, sleep disorder, headache and migraine, with anxiety being the most significant (Spearman Rho = 0.531). The SDS was significantly correlated with SAS and PSQI (Spearman Rho = 0.801, 0.503), and also related to the presence of headache and migraine (Spearman Rho = 0.228, 0.159). Multivariate logistic regression indicated that nurse occupation and anxiety were risk factors for depression, while grades of anxiety, sleep disorders and nurse occupation were risk factors for depression degree in multiple linear regression. Conclusion The prevalence of depression in medical staff is higher than that in the general population especially among females, nurse occupation, unmarried people and rotating-shift population. Depression is associated with anxiety, sleep disorders, headache and migraine. Anxiety and nurse occupation are risk factors for depression. This study might provide a reference for the promotion of occupational health among medical staff.

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Prevalence and risk factors for depression in outpatient departments of three general hospitals in China: a cross-sectional study

Cited by 5 publications

References 60 publications

Prevalence and risk factors of anxiety and depression in adult patients with epilepsy: a multicenter survey-based study

Prevalence and risk factors of anxiety and depression in adult patients with epilepsy: a multicenter survey-based study

Prevalence of depression and its correlation with anxiety, headache and sleep disorders among medical staff in the Hainan Province of China

Prevalence of depression and its correlation with anxiety, headache and sleep disorders amongst medical staff in South China

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