Predictive statistical model for the factors associated with prenatal depression among pregnant adolescents in Maha Sarakham province, Thailand

Background: The rate of adolescent pregnancy has steadily increased in Thailand over the years and depression is considered an important psychological problem in many pregnant adolescents. The aims of this study were to determine the proportion of pregnant adolescents with depressive symptoms and to identify a predictive statistical model for the factors related to prenatal depression among adolescents at antenatal care clinics in 10 community health centers in Maha Sarakham Province. Methods: A cross-sectional study was conducted in 230 randomly selected participants who were pregnant adolescents who volunteered to participate in the research, those aged ≤19 years, and had an estimated gestational age of ≤18 weeks. Those with severe obstetrics complications or a psychiatric disorder were excluded. The subjects were asked to complete a demographic questionnaire and the Thai version of the Edinburgh Postnatal Depression Scale. The mean age of participants was 17.0 (±1.4) years. Results: Overall, 43.9% of the adolescents had a cut off score of ≥11, suggestive of prenatal depressive symptoms. Multivariate analysis identified that pregnant adolescents at a primary school education level were 6.5 times more likely to experience depression symptoms than those with a diploma. Those who were emotionally supported by their husband or partner compared to relatives had a five times higher chance of presenting depressive symptoms, and those with a perceived bad relationship with their husband or partner seven times higher. The model was well-calibrated (goodness-of-fit test, p = 0.675) and had high discriminative power (ROC curve = 0.73 (95%CI = 0.67 to 0.79). Conclusions: More attention is needed to reduce the known problems with pregnant adolescents and to ensure they continue with their education. Lastly, public education to support mental health initiatives for individuals and families should be encouraged.

Download Full-text

Predictive statistical model for the factors associated with prenatal depression among pregnant adolescents in Maha Sarakham province, Thailand

F1000Research ◽

10.12688/f1000research.21007.2 ◽

2020 ◽

Vol 8 ◽

pp. 1921

Author(s):

Bhanwasa Jantasin ◽

Witaya Yoosook ◽

Supawadee Thaewpia

Keyword(s):

Depressive Symptoms ◽

Statistical Model ◽

Community Health Centers ◽

Goodness Of Fit ◽

Depression Scale ◽

Prenatal Depression ◽

Depression Symptoms ◽

Goodness Of Fit Test ◽

Pregnant Adolescents ◽

Cross Sectional

Background: The rate of adolescent pregnancy has steadily increased in Thailand over the years and depression is considered an important psychological problem in many pregnant adolescents. The aims of this study were to determine the proportion of pregnant adolescents with depressive symptoms and to identify a predictive statistical model for the factors related to prenatal depression among adolescents at antenatal care clinics in 10 community health centers in Maha Sarakham Province. Methods: A cross-sectional study was conducted in 230 randomly selected participants who were pregnant adolescents who volunteered to participate in the research, those aged ≤19 years, and had an estimated gestational age of ≤18 weeks. Those with severe obstetrics complications or a psychiatric disorder were excluded. The subjects were asked to complete a demographic questionnaire and the Thai version of the Edinburgh Postnatal Depression Scale. The mean age of participants was 17.0 (±1.4) years. Results: Overall, 43.9% of the adolescents had a cut off score of ≥11, suggestive of prenatal depressive symptoms. Multivariate analysis identified that pregnant adolescents at a primary school education level were 6.5 times more likely to experience depression symptoms than those with a diploma. Those who were emotionally supported by their husband or partner compared to relatives had a five times higher chance of presenting depressive symptoms, and those with a perceived bad relationship with their husband or partner had seven times higher. The model was well-calibrated (goodness-of-fit test, p = 0.675) and had high discriminative power (ROC curve = 0.73 (95%CI = 0.67 to 0.79). Conclusions: More attention is needed to reduce the known problems with pregnant adolescents and to ensure they continue with their education. Lastly, public education to support mental health initiatives for individuals and families should be encouraged.

Download Full-text

Effects of social support, hope and resilience on depressive symptoms within 18 months after diagnosis of prostate cancer

Health and Quality of Life Outcomes ◽

10.1186/s12955-020-01660-1 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Xinxin Zhao ◽

Ming Sun ◽

Ye Yang

Keyword(s):

Prostate Cancer ◽

Social Support ◽

Depressive Symptoms ◽

Perceived Social Support ◽

Depression Scale ◽

Psychosocial Interventions ◽

Epidemiologic Studies ◽

Depression Symptoms ◽

Cross Sectional ◽

Modifiable Factors

Abstract Background The prevalence of depression symptoms and related modifiable factors in prostate cancer (PCa) are not well evaluated. We aimed to assess the effects of perceived social support, hope and resilience on depressive symptoms within 18 months after diagnosis of PCa, and to evaluate the role of hope and resilience as mediators of that relationship. Method A cross-sectional study was analyzed in consecutive inpatients with PCa during the months of January 2018 and August 2019. A total of 667 patients eligible for this study completed questionnaires on demographic and clinic variables, Center for Epidemiologic Studies Depression Scale, Multidimensional Scale of Perceived Social Support, Adult Hope Scale, and Resilience Scale (14 items). All registered patients were all volunteers and anonymous. Depressive symptoms, perceived social support, hope and resilience were measured anonymously. Out of 667 patients, a total of 564 effective respondents (< 30% missing data) became our subjects. Hierarchical linear regression was used to identify the factors associated with depressive symptoms. Asymptotic and resampling strategies were used to conduct the mediating effects of hope and resilience. Results The prevalence of depressive symptoms was 65.9% in PCa patients. Hierarchical regression analyses indicated that perceived social support, hope, and resilience together accounted for 27.5% variance of depressive symptoms. Support from family, hope, and resilience significantly associated with depressive symptoms, respectively. Hope (a*b = − 0.0783, BCa95% CI: − 0.134 to − 0.0319, p < 0.05), and resilience (a*b = − 0.1315, BCa95% CI: − 0.1894 to − 0.0783, p < 0.05) significantly mediated the association between perceived social support and depressive symptoms. Conclusions The high prevalence of depressive symptoms among PCa patients should receive more attention. Perceived social support, hope and resilience could be positive resources for combating depressive symptoms, and hope and resilience mediated the association between perceived social support and depressive symptoms. Enhancing social support, particularly the support form family, and improving patients’ outlook and resilience may be potential targets for future psychosocial interventions aimed at reducing depressive symptoms.

Download Full-text

Prevalence and Influencing Factors of Anxiety and Depression Symptoms Amongst Surgical Nurses During COVID-19 Pandemic: A Large-Scale Cross-Sectional Study

10.21203/rs.3.rs-125116/v1 ◽

2020 ◽

Author(s):

Chun-Xia Ren ◽

De-Cun Zhou ◽

Yin-Guang Fan ◽

Bao-Zhu Li ◽

Wan-Fei Zhang ◽

...

Keyword(s):

Social Support ◽

Depressive Symptoms ◽

Influencing Factors ◽

Rating Scale ◽

Depression Scale ◽

Anxiety And Depression ◽

Depression Symptoms ◽

Cross Sectional ◽

Self Rating ◽

Surgical Nurses

Abstract BackgroundThe outbreak of novel 2019 coronavirus disease (COVID-19) has imposed an enormous physical and psychological pressure on people across the world. This study focused on evaluating the prevalence and influencing factors of anxiety and depression symptoms in surgical nurses during the epidemic in China. MethodA cross-sectional, multicenter quantitative study was conducted in Anhui province (China) from March 3, 2020 to March 19, 2020, with a questionnaire package which consisted of general information questionnaire，Zung's self-rating anxiety scale (SAS), Zung's self-rating Depression Scale (SDS) and social support rating scale (SSRS). A total of 3600 surgical nurses participated in the survey by Wechat and QQ. Data were analysed using multiple linear regression models. ResultsA total of 3492 surgical nurses from 12tertiary hospitals and 12 secondary hospitals in one province of mainland China completed the survey. The prevalence rates of anxiety symptoms and depressive symptoms were 24.83% and 22.39%, respectively. The average level of anxiety and depression of surgical nurses were higher than that of the Chinese norm (P< 0.05).Levels of social support for surgical nurses were significantly negatively associated with the degree of anxiety (r = -0.630, P < 0.001) and depression (r = -0.578, P < 0.001). Fertility status (β = 1.469, P = 0.003), hospital (β = -0.611, P < 0.001), participation in care for COVID-19 patients (β = 2.229, P < 0.001), likelihood of being infected with COVID-19 (β = 1.146, P < 0.001), social support (β = -0.623, P < 0.001) were significantly influencing surgical nurses’ anxiety degree. Similarly, these characteristics were significantly associated with the odds of experiencing depression symptoms in surgical nurses. Divorce and widowed surgical nurses (β = -2.654, P < 0.001) were significantly more likely to experience depressive symptoms than single nurses. ConclusionIn this survey, we found that the surgical nurses had high anxiety and depression symptoms during the COVID-19 outbreak in China. The findings suggest that targeted psychological interventions to promote the mental health of surgical nurses with psychological problems need to be immediately implemented.

Download Full-text

Determinants of increased frequency of depressive and anxiety symptoms in exercise professionals during the COVID-19 pandemic

Work ◽

10.3233/wor-210648 ◽

2021 ◽

pp. 1-11

Author(s):

Natan Feter ◽

Eduardo L. Caputo ◽

Igor R. Doring ◽

Marcelo C. da Silva ◽

Felipe F. Reichert ◽

...

Keyword(s):

Physical Activity ◽

Depressive Symptoms ◽

Depression Scale ◽

Exercise Program ◽

Anxiety Symptoms ◽

Anxiety And Depression ◽

Depression Symptoms ◽

Depression And Anxiety ◽

Cross Sectional ◽

Social Distancing

BACKGROUND: The coronavirus disease (COVID-19) pandemic has affected workers in different health services including exercise professionals (EP). The urgent need to adapt in-person to online activities might have led to increased frequency of anxiety and depressive symptoms. OBJECTIVE: We aimed to identify the determinants of aggravated depressive and anxiety symptoms in EP in southern Brazil during social distancing from the COVID-19. METHODS: A cross-sectional study was conducted with EP who worked at fitness centers, sports clubs, private schools, or at a public exercise program offered by the municipal council. We used an online-based, self-administered, adapted version of the Hospital Anxiety and Depression scale to compare symptoms of depression and anxiety pre- and during social distancing. RESULTS: Participants (n = 201) had a mean age of 32.7±8.0 years, with more than half being male, white, and having an university degree. We observed that 81%and 71%of respondents reported higher frequency in anxiety and depression symptoms, respectively, during social distancing than in the period before it. Physical education teachers, women, non-white professionals, and those with chronic disease were more likely to worsen anxiety symptoms. Women had higher odds to increased frequency in depressive symptoms. Physical activity and previous experience with internet-based tools for working activities reduced the risk of increased depressive symptoms. CONCLUSIONS: Sex, ethnicity, chronic diseases, educational level, physical activity, and experience with online tools were determinants for increased frequency of depression and anxiety symptoms in EP.

Download Full-text

Effects of social support, hope and resilience on depressive symptoms within 18 months after diagnosis of prostate cancer

10.21203/rs.2.20543/v3 ◽

2021 ◽

Author(s):

Xinxin Zhao ◽

Ming Sun ◽

Ye Yang

Keyword(s):

Prostate Cancer ◽

Social Support ◽

Depressive Symptoms ◽

Perceived Social Support ◽

Depression Scale ◽

Psychosocial Interventions ◽

Epidemiologic Studies ◽

Depression Symptoms ◽

Cross Sectional ◽

Modifiable Factors

Abstract Background The prevalence of depression symptoms and related modifiable factors in prostate cancer (PCa) are not well evaluated. We aimed to assess the effects of perceived social support, hope and resilience on depressive symptoms within 18 months after diagnosis of PCa, and to evaluate the role of hope and resilience as mediators of that relationship.Method A cross-sectional study was analyzed in consecutive inpatients with PCa during the months of January 2018 and August 2019. A total of 667 patients eligible for this study completed questionnaires on demographic and clinic variables, Center for Epidemiologic Studies Depression Scale, Multidimensional Scale of Perceived Social Support, Adult Hope Scale, and Resilience Scale (14 items). All registered patients were all volunteers and anonymous. Depressive symptoms, perceived social support, hope and resilience were measured anonymously. Out of 667 patients, a total of 564 effective respondents (< 30% missing data) became our subjects. Hierarchical linear regression was used to identify the factors associated with depressive symptoms. Asymptotic and resampling strategies were used to conduct the mediating effects of hope and resilienceResults The prevalence of depressive symptoms was 65.9% in PCa patients. Hierarchical regression analyses indicated that perceived social support, hope, and resilience together accounted for 27.5% variance of depressive symptoms. Support from family, hope, and resilience significantly associated with depressive symptoms, respectively. Hope (a*b = -0.0783, BCa95% CI:-0.134 to -0.0319, p < 0.05), and resilience (a*b = -0.1315, BCa95% CI:-0.1894 to -0.0783, p < 0.05) significantly mediated the association between perceived social support and depressive symptoms.Conclusions The high prevalence of depressive symptoms among PCa patients should receive more attention. Perceived social support, hope and resilience could be positive resources for combating depressive symptoms, and hope and resilience mediated the association between perceived social support and depressive symptoms. Enhancing social support, particularly the support form family, and improving patients’ outlook and resilience may be potential targets for future psychosocial interventions aimed at reducing depressive symptoms.

Download Full-text

A multi-center study evaluating the correlation between meibomian gland dysfunction and depressive symptoms

Scientific Reports ◽

10.1038/s41598-021-04167-x ◽

2022 ◽

Vol 12 (1) ◽

Author(s):

Zhenyu Wei ◽

Junqi Liang ◽

Kai Cao ◽

Leying Wang ◽

Christophe Baudouin ◽

...

Keyword(s):

Depressive Symptoms ◽

Depression Scale ◽

Clinical Information ◽

Meibomian Gland ◽

Meibomian Gland Dysfunction ◽

Depression Symptoms ◽

Cross Sectional ◽

Obstructive Sleep ◽

Increased Risk ◽

Prevalence Of Depression

AbstractIncreased prevalence of depression has been found in patients with meibomian gland dysfunction (MGD); however, specific conditions of patients suffered from MGD and depression remains unclear. Our aim was to investigate the prevalence of depression in patients with MGD and analyze the risk factors of depression in MGD patients. In this multi-center cross-sectional study, we enrolled 830 MGD patients and 114 normal controls. Demographic information was collected by designed questionnaires about lifestyle habits, systemic and ocular medical history. Ophthalmic examinations were performed in a formal order. Depression symptoms were evaluated with a questionnaire survey using a modified self-rating depression scale (M-SDS). The correlations between the M-SDS score and demographic and clinical information were analyzed. The prevalence of hyperlipidemia and obstructive sleep apnea–hypopnea syndrome (OSAHS) was higher in the MGD group. There were 78 cases (9.4%) with depressive symptoms in the MGD group whereas there were 4 cases (3.5%) in controls. Similarly, M-SDS was higher in the MGD group. The characteristics of depression in the MGD group included: crying spells, sleep disturbance and depressed appetite. Some systemic diseases (OSAHS, allergy, skin disease) and the use of contact lenses was correlated with an increased risk of depressive symptoms in MGD patients.

Download Full-text

Serum Kynurenines Correlate With Depressive Symptoms and Disability in Poststroke Patients: A Cross-sectional Study

Neurorehabilitation and Neural Repair ◽

10.1177/1545968320953671 ◽

2020 ◽

Vol 34 (10) ◽

pp. 936-944 ◽

Cited By ~ 3

Author(s):

Paul Carrillo-Mora ◽

Verónica Pérez-De la Cruz ◽

Berenice Estrada-Cortés ◽

Paola Toussaint-González ◽

José Antonio Martínez-Cortéz ◽

...

Keyword(s):

Depressive Symptoms ◽

Sleep Quality ◽

Barthel Index ◽

Depression Scale ◽

Functional Independence ◽

Anxiety And Depression ◽

Depression Symptoms ◽

Poor Sleep ◽

Cross Sectional ◽

Potential Marker

Background Poststroke depression (PSD) is related to adverse functional and cognitive prognosis in stroke patients. The participation of kynurenine pathway metabolites in depression has been previously proposed; however, there are few studies on its role in PSD and disability in stroke. Objective To investigate if there is a correlation between serum kynurenines levels with poststroke anxiety and depression symptoms and disability scales. Methods A cross-sectional case-control study was conducted in patients with first stroke, of >1 month and <1 year of evolution, with no history of previous psychiatric or neurological disorders; the Hospital Anxiety and Depression Scale (HADS), Montreal Cognitive Assessment (MoCA), functional evaluations (Barthel index, Functional Independence Measure [FIM]) were applied and serum kynurenines (Kyns) were determined. Results Sixty patients were included; significant depressive symptoms were found in 63% of the cases; a significant and positive correlation was obtained between levels of 3-hydroxykynurenine (3-HK) with HADS-T ( r = 0.30, P = .025) and HADS-D ( r = 0.28, P = .039). Depressed patients showed significantly higher levels of 3HK ( P = .048) and KYNA ( P = .0271) than nondepressed patients; the 3HK levels were inversely correlated with functional scales: Barthel index ( r = −0.31, P = .02), FIM ( r = −0.40, P = .01); in addition, serum 3HK levels were significantly higher in patients with poor sleep quality ( P = .0190). Conclusions Serum Kyns show correlation with the presence and severity of depressive symptoms and with the disability and sleep quality. Kyns may be a potential marker of depression risk and disability in stroke in future.

Download Full-text

Elevated Midpregnancy Corticotropin-Releasing Hormone Is Associated with Prenatal, But Not Postpartum, Maternal Depression

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jc.2007-2535 ◽

2008 ◽

Vol 93 (5) ◽

pp. 1946-1951 ◽

Cited By ~ 49

Author(s):

J. W. Rich-Edwards ◽

A. P. Mohllajee ◽

K. Kleinman ◽

M. R. Hacker ◽

J. Majzoub ◽

...

Keyword(s):

Depressive Symptoms ◽

Postpartum Depression ◽

Confidence Interval ◽

Odds Ratio ◽

Depression Scale ◽

Prenatal Depression ◽

Depression Symptoms ◽

Logarithmic Scale ◽

Postpartum Depressive Symptoms ◽

Scale Range

Abstract Context: Elevated hypothalamic CRH has been implicated in melancholic major depression in nonpregnant individuals, but the role of placental CRH in maternal prenatal and postpartum depression is largely unexplored. Objective: The objective of the study was to examine the association of maternal midpregnancy plasma CRH levels with prenatal and postpartum depression. Participants: The study included 800 participants in Project Viva, a pregnancy and childhood cohort. Methods: CRH levels were analyzed from blood samples obtained at mean 27.9 wk gestation (± 1.3 sd; range 24.6–37.4 wk) and were normalized on the logarithmic scale. Depression was assessed with the Edinburgh Postpartum Depression Scale (range 0–30 points) in midpregnancy and at 6 months postpartum. We used logistic regression to estimate the odds of scoring 13 or more points on the Edinburgh Postpartum Depression Scale as indicative of major or minor depression. Results: Seventy (8.8%) and 46 (7.5%) women had prenatal and postpartum depression symptoms, respectively. Mean log CRH was 4.93 (± 0.62 sd). After adjusting for confounders, an sd increase in log CRH was associated with nearly 50% higher odds of prenatal depression symptoms (odds ratio 1.48, 95% confidence interval 1.14–1.93). Higher CRH levels during pregnancy were unassociated with greater risk of postpartum depressive symptoms. In fact, there was a suggestion that prenatal CRH levels might be inversely associated with risk of postpartum depressive symptoms (odds ratio 0.82, 95% confidence interval 0.58–1.15). Conclusions: Elevated placental CRH levels in midpregnancy are positively associated with risk of prenatal depression symptoms but not postpartum depression symptoms.

Download Full-text

Adolescents’ smartphone use at night, sleep disturbance and depressive symptoms

International Journal of Adolescent Medicine and Health ◽

10.1515/ijamh-2018-0095 ◽

2018 ◽

Vol 0 (0) ◽

Cited By ~ 7

Author(s):

Rian Kusuma Dewi ◽

Ferry Efendi ◽

Eka Mishbahatul M. Has ◽

Joko Gunawan

Keyword(s):

Depressive Symptoms ◽

Sleep Disturbance ◽

Sleep Problems ◽

Depression Scale ◽

Smartphone Addiction ◽

Depression Symptoms ◽

Night Sleep ◽

Cross Sectional ◽

Positive Correlation ◽

Smartphone Use

Abstract Nowadays smartphones are used anywhere and at any time, day or night, by adolescents. Smartphone use, especially at night, is a risk factor for sleep disturbance and depression in adolescents. The purpose of this study was to analyse the correlation between smartphone use at night, sleep disturbance and depression symptoms in adolescents. This cross-sectional study analysed the data from 714 students in Surabaya, who were selected by using a simple random sampling technique. The independent variable was smartphone usage at night while the dependent variable was sleep disturbance and depressive symptoms. The data was collected using three questionnaires: the smartphone usage at night questionnaire, the Insomnia Severity Index questionnaire and the Kutcher Adolescent Depression Scale questionnaire. The data was then analysed using Spearman’s rho analysis (α < 0.05). The results indicated that there was a relationship between the use of smartphones at night and sleep disturbance in adolescents with a positive correlation (r = 0.374), and that there was a relationship between the use of smartphones at night and depression symptoms in adolescents with a positive correlation (r = 0.360). This study highlights that the excessive use of smartphones during the night may play a significant role in sleep problems and depressive symptoms among teenagers. Adolescents with sleep disturbance and depressive symptoms should be carefully monitored for signs of smartphone addiction. Nurses should improve health education for adolescents to inform them about the positive use of smartphones to prevent sleep disturbance and to minimise depressive symptoms.

Download Full-text

Bereavement or Breakup: A Network Approach to Modeling Differential Pathways into Depression

10.31234/osf.io/38r4j ◽

2019 ◽

Author(s):

Julian Burger ◽

Margaret S. Stroebe ◽

Pasqualina Perrig-Chiello ◽

Henk A.W. Schut ◽

Stefanie Spahni ◽

...

Keyword(s):

Depressive Symptoms ◽

Graphical Models ◽

Contextual Factors ◽

Marital Disruption ◽

Depression Symptoms ◽

Depression Symptom ◽

Multiple Time ◽

Cross Sectional ◽

Network Analyses ◽

Within Subjects

Background: Prior network analyses demonstrated that the death of a loved one potentially precedes specific depression symptoms, primarily loneliness, which in turn links to other depressive symptoms. In this study, we extend prior research by comparing depression symptom network structures following two types of marital disruption: bereavement versus separation. Methods: We fitted two Gaussian Graphical Models to cross-sectional data from a Swiss survey of older persons (145 bereaved, 217 separated, and 362 married controls), and compared symptom levels across bereaved and separated individuals. Results: Separated compared to widowed individuals were more likely to perceive an unfriendly environment and oneself as a failure. Both types of marital disruption were linked primarily to loneliness, from where different relations emerged to other depressive symptoms. Amongst others, loneliness had a stronger connection to perceiving oneself as a failure in separated compared to widowed individuals. Conversely, loneliness had a stronger connection to getting going in widowed individuals. Limitations: Analyses are based on cross-sectional between-subjects data, and conclusions regarding dynamic processes on the within-subjects level remain putative. Further, some of the estimated parameters in the network exhibited overlapping confidence intervals and their order needs to be interpreted with care. Replications should thus aim for studies with multiple time points and larger samples. Conclusions: The findings of this study add to a growing body of literature indicating that depressive symptom patterns depend on contextual factors. If replicated on the within-subjects level, such findings have implications for setting up patient-tailored treatment approaches in dependence of contextual factors.

Download Full-text