Study of Natural Products Adverse Reactions (SONAR) in Adults with Mental Health Conditions: A Cross-Sectional Study

Drug Safety ◽  
2021 ◽  
Author(s):  
Liliane Zorzela ◽  
Baljit Khamba ◽  
Emma Sparks ◽  
Candace Necyk ◽  
Liana Urichuk ◽  
...  
2021 ◽  
pp. 140349482110454
Author(s):  
Amanda M.S. Christesen ◽  
Camilla K. Knudsen ◽  
Kirsten Fonager ◽  
Martin N. Johansen ◽  
Signe Heuckendorff

Aim: Parental mental health conditions adversely affect the children. Information on the prevalence of parental mental health conditions is needed to help policymakers allocate resources appropriately. Therefore, the aim of this study was to estimate the prevalence of children with parental mental health conditions in Denmark and further estimate the age-specific prevalence and geographical variation. Methods: In this nationwide register-based cross-sectional study, we included all children born between 2000 and 2016 if they resided in Denmark on 31 December 2016. Information on both maternal and paternal mental health conditions was retrieved from primary and secondary healthcare registers. Parental mental health conditions were categorised in three severity groups: minor, moderate, and severe. We estimated the proportion of children with parental mental health conditions on 31 December 2016. Results: Of the 1,106,459 children aged 0–16 years, 39.1% had at least one parent with a mental health condition. The prevalence increased with age of the children until the age of six years. Geographical variation in the prevalence ranged from 29.0% to 48.3% in the 98 municipalities. Minor parental mental health conditions (23.5%) were more common than moderate (13.5%) and severe parental mental health conditions (2.2%). Hospital-diagnosed parental mental health conditions were prevalent in 12.8% of the children. Conclusions: Two in five children aged 0–16 years in Denmark have parents with a mental health condition and geographical variation exists. The high prevalence of children with parental mental health conditions is an important public health challenge, which calls for attention.


BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e029040 ◽  
Author(s):  
Deborah Kinnear ◽  
Ewelina Rydzewska ◽  
Kirsty Dunn ◽  
Laura Anne Hughes-McCormack ◽  
Craig Melville ◽  
...  

ObjectivesTo determine the relative extent that autism and intellectual disabilities are independently associated with poor mental and general health, in children and adults.DesignCross-sectional study. For Scotland’s population, logistic regressions investigated odds of intellectual disabilities and autism predicting mental health conditions, and poor general health, adjusted for age and gender.Participants1 548 819 children/youth aged 0-24 years, and 3 746 584 adults aged more than 25 years, of whom 9396/1 548 819 children/youth had intellectual disabilities (0.6%), 25 063/1 548 819 children/youth had autism (1.6%); and 16 953/3 746 584 adults had intellectual disabilities (0.5%), 6649/3 746 584 adults had autism (0.2%). These figures are based on self-report.Main outcome measuresSelf-reported general health status and mental health.ResultsIn children/youth, intellectual disabilities (OR 7.04, 95% CI 6.30 to 7.87) and autism (OR 25.08, 95% CI 23.08 to 27.32) both independently predicted mental health conditions. In adults, intellectual disabilities (OR 3.50, 95% CI 3.20 to 3.84) and autism (OR 5.30, 95% CI 4.80 to 5.85) both independently predicted mental health conditions. In children/youth, intellectual disabilities (OR 18.34, 95% CI 17.17 to 19.58) and autism (OR 8.40, 95% CI 8.02 to 8.80) both independently predicted poor general health. In adults, intellectual disabilities (OR 7.54, 95% CI 7.02 to 8.10) and autism (OR 4.46, 95% CI 4.06 to 4.89) both independently predicted poor general health.ConclusionsBoth intellectual disabilities and autism independently predict poor health, intellectual disabilities more so for general health and autism more so for mental health. Intellectual disabilities and autism are not uncommon, and due to their associated poor health, sufficient services/supports are needed. This is not just due to coexistence of these conditions or just to having intellectual disabilities, as the population with autism is independently associated with substantial health inequalities compared with the general population, across the entire life course.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Miwako Nagasu ◽  
Kazutaka Kogi ◽  
Isamu Yamamoto

Abstract Background There is rising public concern over the widening health inequalities in many countries. The aim of this study was to clarify the associations of socioeconomic status (SES)-related variables, such as levels of household disposable income and employment status, and lifestyle factors with mental health conditions among Japanese adults aged 40 to 69. Methods A cross-sectional study of 3085 participants (1527 males and 1558 females) was undertaken by using a self-administered questionnaire that included the Japanese version of the 12-item General Health Questionnaire (GHQ-12) and questions related to socioeconomic and lifestyle factors. Results The prevalence of poor mental health conditions, represented by a GHQ-12 score of 4 or more, was 33.4% among males and 40.4% among females. Males whose annual household disposable income was less than 2 million yen had significantly higher GHQ-12 scores than those with an annual household disposable income above 2 million yen. As per binary logistic regression analyses, short sleep duration and the absence of physical exercise were significantly related to poor mental health conditions among both males and females. Among females, a household disposable income of less than 2 million yen could be a risk factor for poor mental health conditions. Age and habitual drinking were inversely associated with poor mental health conditions. Conclusions Low levels of household disposable income and unhealthy lifestyle factors were significantly associated with mental health conditions. These results suggest the importance of improving unhealthy lifestyle behaviours and developing effective health promotion programmes. In addition, there is a need for social security systems for people from different socioeconomic backgrounds.


Author(s):  
Sofia Pappa ◽  
Joshua Barnett ◽  
Ines Berges ◽  
Nikolaos Sakkas

The burden of the COVID-19 pandemic on health systems and the physical and mental health of healthcare workers (HCWs) has been substantial. This cross-sectional study aims to assess the effects of COVID-19 on the psychological wellbeing of mental health workers who provide care to a vulnerable patient population that have been particularly affected during this crisis. A total of 387 HCWs from across a large urban mental health service completed a self-administered questionnaire consisting of socio-demographic, lifestyle and work-based information and validated psychometric scales. Depression and anxiety were measured using the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Scale (GAD-7), respectively; sleep problems with the Athens Insomnia Scale (AIS); burnout with the Maslach Burnout Inventory (MBI); and resilience with the Resilience Scale-14 (RS-14). Multivariable logistic regression analysis was performed to determine potential mediating factors. Prevalence of burnout was notable, with 52% recording moderate/severe in Emotional Exhaustion, 19.5% moderate/severe in Depersonalisation, and 55.5% low/moderate Personal Accomplishment. Over half of all respondents (52%) experienced sleep problems; the presence of depressive symptoms was a significant predictor of insomnia. An increase in potentially harmful lifestyle changes, such as smoking, alcohol consumption and overeating was also observed. However, high Resilience was reported by 70% of the samples and the importance of this is highlighted. Female gender was associated with increased levels of depression and emotional exhaustion while those with a history of mental health conditions were most at risk of affective symptoms, insomnia, and burnout. Overall, our study revealed considerable levels of psychological distress and maladaptive coping strategies but also resilience and satisfaction with organizational support provided. Findings can inform tailored interventions in order to mitigate vulnerability and prevent long-term psychological sequelae.


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.


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