scholarly journals The Association between Depressive Symptoms and Self-Rated Health among University Students: A Cross-Sectional Study in France and Japan

2020 ◽  
Author(s):  
Mami Ishida ◽  
Ilaria Montagni ◽  
Keiichi Matsuzaki ◽  
Tomonari Shimamoto ◽  
Tanguy Cariou ◽  
...  

Abstract Background: Depressive disorders in University students have risen dramatically in the past few decades to the extent that students’ mental health has become a current global public health priority. Obtaining information from University students about their mental health is challenging because of potential embarrassment of disclosing one’s concerns and fear of stigmatization. Self-rated health might be a good solution to evaluate mental health state by a simple and neutral indicator. The aim of the study is to investigate the association between depressive symptoms and self-rated health by sex among University students in France and Japan. Methods: A cross-sectional study was conducted by using two large cohorts of students aged ≥18 years (n=5,655 in Bordeaux, France and n=17,148 in Kyoto, Japan). Depressive symptoms (PHQ-2 scale), Likert scale of self-rated health, socio-demographic characteristics and health habits were collected through self-administered questionnaires. Multivariate logistic regression models were performed to describe the association between depressive symptoms and other variables including self-rated health, stratified by sex. Results: A high score of PHQ-2 (high depressive symptoms) was associated with poor self-rated health in both cohorts independently of all other variables (OR 2.82, 95%CI 1.99-4.01 in France, OR 7.10, 95%CI 5.76-8.74 in Japan). Although the prevalence of depressive symptoms between sexes was different in French students (males 15.4%, females 25.0%, p<0.001), it was similar in Japanese students (males 3.5%, females 3.3%, p=0.466), who reported less depressive symptoms than French students. The association between depressive symptoms and poor self-rated health was greater in Japanese females (OR 12.40, 95%CI 7.74-20.00) than in males (OR 6.30, 95%CI 4.99-7.95), whereas the strength of the association was almost similar in French students (OR 2.17, 95%CI 0.86-5.47 in males, OR 2.98, 95%CI 2.03-4.38 in females). Conclusions: Depressive symptoms were associated with self-rated health among University students in both countries with slightly differences in sex. Self-rated health would be a simple, reliable and universal indicator for healthcare professionals and University staff to identify students at risk of depression.

2020 ◽  
Author(s):  
Mami Ishida ◽  
Ilaria Montagni ◽  
Keiichi Matsuzaki ◽  
Tomonari Shimamoto ◽  
Tanguy Cariou ◽  
...  

Abstract Background: Depressive disorders in University students have risen dramatically in the past few decades to the extent that students’ mental health has become a current global public health priority. Obtaining information from University students about their mental health is challenging because of potential embarrassment of disclosing one’s concerns and fear of stigmatization. Self-rated health might be a good solution to evaluate mental health state by a simple and neutral indicator. The aim of the study is to investigate the association between depressive symptoms and self-rated health by sex among University students in France and Japan. Methods: A cross-sectional study was conducted by using two large cohorts of students aged ≥18 years (n=5,655 in Bordeaux, France and n=17,148 in Kyoto, Japan). Depressive symptoms (PHQ-2 scale), Likert scale of self-rated health, socio-demographic characteristics and health habits were collected through self-administered questionnaires. Multivariate logistic regression models were performed to describe the association between depressive symptoms and other variables including self-rated health, stratified by sex. Results: A high score of PHQ-2 (high depressive symptoms) was associated with poor self-rated health in both cohorts independently of all other variables (OR 2.82, 95%CI 1.99-4.01 in France, OR 7.10, 95%CI 5.76-8.74 in Japan). Although the prevalence of depressive symptoms between sexes was different in French students (males 15.4%, females 25.0%, p<0.001), it was similar in Japanese students (males 3.5%, females 3.3%, p=0.466), who reported less depressive symptoms than French students. The association between depressive symptoms and poor self-rated health was greater in Japanese females (OR 12.40, 95%CI 7.74-20.00) than in males (OR 6.30, 95%CI 4.99-7.95), whereas the strength of the association was almost similar in French students (OR 2.17, 95%CI 0.86-5.47 in males, OR 2.98, 95%CI 2.03-4.38 in females). Conclusions: Depressive symptoms were associated with self-rated health among University students in both countries with slightly differences in sex. Self-rated health would be a simple, reliable and universal indicator for healthcare professionals and University staff to identify students at risk of depression.


2020 ◽  
Author(s):  
Mami Ishida ◽  
Ilaria Montagni ◽  
Keiichi Matsuzaki ◽  
Tomonari Shimamoto ◽  
Tanguy Cariou ◽  
...  

Abstract Background: Depressive disorders in University students have risen dramatically in the past few decades to the extent that students’ mental health has become a current global public health priority. Obtaining information from University students about their mental health is challenging because of potential embarrassment of disclosing one’s concerns and fear of stigmatization. Self-rated health might be a good solution to evaluate mental health state by a simple and neutral indicator. The aim of the study is to investigate the association between depressive symptoms and self-rated health by sex among University students in France and Japan. Methods: A cross-sectional study was conducted by using two large cohorts of students aged ≥18 years (n=5,655 in Bordeaux, France and n=17,148 in Kyoto, Japan). Depressive symptoms (PHQ-2 scale), Likert scale of self-rated health, socio-demographic characteristics and health habits were collected through self-administered questionnaires. Multivariate logistic regression models were performed to describe the association between depressive symptoms and other variables including self-rated health, stratified by sex. Results: A high score of PHQ-2 (high depressive symptoms) was associated with poor self-rated health in both cohorts independently of all other variables (OR 2.82, 95%CI 1.99-4.01 in France, OR 7.10, 95%CI 5.76-8.74 in Japan). Although the prevalence of depressive symptoms between sexes was different in French students (males 15.4%, females 25.0%, p<0.001), it was similar in Japanese students (males 3.5%, females 3.3%, p=0.466), who reported less depressive symptoms than French students. The association between depressive symptoms and poor self-rated health was greater in Japanese females (OR 12.40, 95%CI 7.74-20.00) than in males (OR 6.30, 95%CI 4.99-7.95), whereas the strength of the association was almost similar in French students (OR 2.17, 95%CI 0.86-5.47 in males, OR 2.98, 95%CI 2.03-4.38 in females). Conclusions: Depressive symptoms were associated with self-rated health among University students in both countries with slightly differences in sex. Self-rated health would be a simple, reliable and universal indicator for healthcare professionals and University staff to identify students at risk of depression.


2020 ◽  
Author(s):  
Mami Ishida ◽  
Ilaria Montagni ◽  
Keiichi Matsuzaki ◽  
Tomonari Shimamoto ◽  
Tanguy Cariou ◽  
...  

Abstract Background: Depressive disorders in University students have risen dramatically in the past few decades to the extent that students’ mental health has become a current global public health priority. Obtaining information from University students about their mental health is challenging because of potential embarrassment of disclosing one’s concerns and fear of stigmatization. Self-rated health might be a good solution to evaluate mental health state by a simple and neutral indicator. The aim of the study is to investigate the association between depressive symptoms and self-rated health by sex among University students in France and Japan. Methods: A cross-sectional study was conducted by using two large cohorts of students aged ≥18 years (n=5,655 in Bordeaux, France and n=17,148 in Kyoto, Japan). Depressive symptoms (PHQ-2 scale), Likert scale of self-rated health, socio-demographic characteristics and health habits were collected through self-administered questionnaires. Multivariate logistic regression models were performed to describe the association between depressive symptoms and other variables including self-rated health, stratified by sex. Results: A high score of PHQ-2 (high depressive symptoms) was associated with poor self-rated health in both cohorts independently of all other variables (OR 2.82, 95%CI 1.99-4.01 in France, OR 7.10, 95%CI 5.76-8.74 in Japan). Although the prevalence of depressive symptoms between sexes was different in French students (males 15.4%, females 25.0%, p<0.001), it was similar in Japanese students (males 3.5%, females 3.3%, p=0.466), who reported less depressive symptoms than French students. The association between depressive symptoms and poor self-rated health was greater in Japanese females (OR 12.40, 95%CI 7.74-20.00) than in males (OR 6.30, 95%CI 4.99-7.95), whereas the strength of the association was almost similar in French students (OR 2.17, 95%CI 0.86-5.47 in males, OR 2.98, 95%CI 2.03-4.38 in females). Conclusions: Depressive symptoms were associated with self-rated health among University students in both countries with slightly differences in sex. Self-rated health would be a simple, reliable and universal indicator for healthcare professionals and University staff to identify students at risk of depression.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Mami Ishida ◽  
Ilaria Montagni ◽  
Keiichi Matsuzaki ◽  
Tomonari Shimamoto ◽  
Tanguy Cariou ◽  
...  

Abstract Background Depressive disorders in University students have risen dramatically in the past few decades to the extent that students’ mental health has become a current global public health priority. Obtaining information from University students about their mental health is challenging because of potential embarrassment of disclosing one’s concerns and fear of stigmatization. Self-rated health might be a good solution to evaluate mental health state by a simple and neutral indicator. The aim of the study is to investigate the association between depressive symptoms and self-rated health by sex among University students in France and Japan. Methods A cross-sectional study was conducted by using two large cohorts of students aged ≥18 years (n = 5655 in Bordeaux, France and n = 17,148 in Kyoto, Japan). Depressive symptoms (PHQ-2 scale), Likert scale of self-rated health, socio-demographic characteristics and health habits were collected through self-administered questionnaires. Multivariate logistic regression models were performed to describe the association between depressive symptoms and other variables including self-rated health, stratified by sex. Results A high score of PHQ-2 (high depressive symptoms) was associated with poor self-rated health in both cohorts independently of all other variables (OR 2.82, 95%CI 1.99–4.01 in France, OR 7.10, 95%CI 5.76–8.74 in Japan). Although the prevalence of depressive symptoms between sexes was different in French students (males 15.4%, females 25.0%, p < 0.001), it was similar in Japanese students (males 3.5%, females 3.3%, p = 0.466), who reported less depressive symptoms than French students. The association between depressive symptoms and poor self-rated health was greater in Japanese females (OR 12.40, 95%CI 7.74–20.00) than in males (OR 6.30, 95%CI 4.99–7.95), whereas the strength of the association was almost similar in French students (OR 2.17, 95%CI 0.86–5.47 in males, OR 2.98, 95%CI 2.03–4.38 in females). Conclusions Depressive symptoms were associated with self-rated health among University students in both countries with slightly differences in sex. Self-rated health would be a simple, reliable and universal indicator for healthcare professionals and University staff to identify students at risk of depression.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sarah L. McKune ◽  
Daniel Acosta ◽  
Nick Diaz ◽  
Kaitlin Brittain ◽  
Diana Joyce- Beaulieu ◽  
...  

Abstract Background Given the emerging literature regarding the impacts of lockdown measures on mental health, this study aims to describe the psychosocial health of school-aged children and adolescents during the COVID-19 Safer-at-Home School mandates. Methods A cross-sectional study was conducted in April 2020 (n = 280) among K-12 students at a research school in North Central Florida. Bivariate analysis and logistic and multinomial logistic regression models were used to examine socio-demographic and knowledge, attitude, and practice (KAP) predictors of indicators of anxiety-related, depressive, and obsessive-compulsive disorder(OCD)-related symptoms. Outcomes (anxiety, OCD, and depressive related symptoms) were measured by indices generated based on reported symptoms associated with each psychosocial outcome. Results Loss of household income was associated with increased risk for all three index-based outcomes: depressive symptoms [aOR = 3.130, 95% CI = (1.41–6.97)], anxiety-related symptoms [aOR = 2.531, 95%CI = (1.154–5.551)], and OCD-related symptoms [aOR = 2.90, 95%CI = (1.32–6.36)]. Being female was associated with being at higher risk for depressive symptoms [aOR = 1.72, 95% CI = (1.02–2.93)], anxiety-related symptoms [aOR = 1.75, 95% CI = (1.04–2.97)], and OCD-related symptoms [aOR = 1.764, 95%CI = (1.027–3.028)]. Parental practices protective against COVID-19 were associated with children being at higher risk of depressive symptoms [aOR = 1.55, 95% CI = (1.04–2.31)]. Lower school level was associated with children being at higher risk of anxiety-related and OCD-related symptoms. Conclusions As the COVID-19 pandemic continues, schools should prioritize mental health interventions that target younger, female students, and children of families with income loss. Limiting the spread of COVID-19 through school closure may exacerbate negative psychosocial health outcomes in children, thus school administrators should move quickly to target those at greatest risk.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aleksandra M. Rogowska ◽  
Dominika Ochnik ◽  
Cezary Kuśnierz ◽  
Karolina Chilicka ◽  
Monika Jakubiak ◽  
...  

Abstract Background Research indicates that mental health worsened during the Coronavirus crisis, in particular among women and university students. However, few longitudinal studies have so far investigated the changes in mental health outcomes across three subsequent waves of the COVID-19 pandemic. Therefore, this study aims to examine changes in mental health among university students. Methods A total of 1,961university students from Poland, at mean age 23.23 years (SD = 3.16, 57.47% of women) were included in this repeated cross-sectional study across three waves of the COVID-19 pandemic: W1 (n = 657), W2 (n = 654), and W3 (n = 650). They completed the online survey with the Generalized Anxiety Disorder (GAD-7), Perceived Stress Scale (PSS-10), General Self-Rated Health (GSRH), and Satisfaction with Life Scale (SWLS), as well as sociodemographic variables. Results The prevalence of people at high risk of anxiety and perceived stress, poorer physical health, and low life satisfaction changed significantly across three waves of the COVID-19 pandemic. The results of the two-way ANOVA showed that both the wave (W1<W2<W3) and gender (men<women) had a significant impact on the level of anxiety. Statistically significant changes in perceived stress were found between pandemic waves (W1>W2, W1>W3), and genders (men<women). Self-reported physical health significantly deteriorated in W3 compared to W1 and W2 (W1>W3, W2>W3), and was significantly worse in women than in men. The level of life satisfaction also decreased significantly in W3 (W1>W3, W2>W3), but did not differ between men and women. High GAD risk was presented two times more frequently among women and people who subjectively assessed their health as poor, three times more likely in participants dissatisfied with their lives, and seven times more probably in persons with high-stress levels. Conclusions The results of this study consistently indicate (using parametric and non-parametric statistical analysis) that there are significant differences in mental health problems across three waves of the COVID-19 pandemic. It suggests that pandemic waves should be considered in future review studies and meta-analyses. Furthermore, these findings indicate a potential role for prevention and intervention programs aimed at alleviating life satisfaction and subjective assessment of health and improving coping skills to reduce stress and anxiety.


2019 ◽  
Vol 68 (3) ◽  
pp. 278-285 ◽  
Author(s):  
Ilaria Montagni ◽  
Sarah Qchiqach ◽  
Edwige Pereira ◽  
Phillip J. Tully ◽  
Christophe Tzourio

2019 ◽  
Vol 121 (09) ◽  
pp. 1049-1056 ◽  
Author(s):  
Manije Darooghegi Mofrad ◽  
Fereydoun Siassi ◽  
Bijan Guilani ◽  
Nick Bellissimo ◽  
Leila Azadbakht

AbstractPrevious studies have shown that unhealthy dietary patterns are among the most important modifiable risk factors in the development of mental health disorders. We examined the association of dietary phytochemical index (DPI) with symptoms of depression, anxiety and psychological distress in Iranian women. In this cross-sectional study, a total of 488 women aged 20–50 years old attending health centres in the south of Tehran in 2018 were included. A validated and reliable FFQ was used for dietary assessment. Symptoms of depression, anxiety and psychological distress were assessed using a validated depression, anxiety, stress scales questionnaires with twenty-one-items. DPI was estimated using the following formula: (daily energy derived from phytochemical-rich foods (kJ)/total daily energy intake (kJ))×100. The mean age of the study participants was 31·9 (sd7·7) years. The prevalence of depressive symptoms, anxiety and psychological distress among study participants was 34·6, 40·6 and 42·4 %, respectively. After controlling for potential confounders, women in the highest tertile of DPI had a lower prevalence of depressive symptoms (OR 0·22; 95 % CI 0·12, 0·38) and anxiety (OR 0·33; 95 % CI 0·20, 0·55), as well as psychological distress (OR 0·30; 95 % CI 0·18, 0·49) compared with those in the lowest tertile. In conclusion, we found a significant association between DPI and mental health in women. Prospective studies are needed to confirm these findings.


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