Effects Of Mental Health Problems Research Articles

The relationship between mental health problems and risk of infectious diseases: A Mendelian randomization analysis.

The causal effects of mental health problems on the risk of infectious diseases remain vague. Investigating them via observational study is challenging as it presents possible confounding factors. Therefore, the objective of this study was to utilize Mendelian randomization (MR) techniques to evaluate the causal relationship between mental health problems and the risk of infectious diseases. Multivariable MR analyses were performed using genome-wide association data for sleep disorders (N = 216,700), depression (N = 500,199), anxiety (N = 290,361), nervous feelings (N = 450,700), unspecified mental disorder (N = 218,792), pneumonia (N = 486,484), skin and subcutaneous tissue infection (SSTI; N = 218,792), intestinal infectious diseases (IIDs; N = 218,792), urinary tract infection (N = 463,010), and central nervous system (CNS) infections (N = 218,792) among individuals of European ancestry. Independent genetic variants significantly (P < 10-8) associated with each exposure were considered instruments. The primary analysis used an inverse variance-weighted method, followed by a series of sensitivity analyses. Genetically predicted sleep disorders were associated with an increased risk of SSTI (odds ratio [OR], 1.29 [95% confidence interval (CI), 1.05-1.59]; P = .017). Genetically predicted depression was linked with an increased risk of CNS infections (OR, 1.59 [95% CI, 1.00-2.53]; P = .049) and SSTI (1.24 [95% CI, 1.03-1.49]; P = .024). Genetically predicted anxiety was associated with IIDs (OR, 1.19 [95% CI, 1.03-1.37]; P = .017) and SSTI (OR, 1.21 [95% CI, 1.02-1.43]; P = .029). There was no significant causal evidence for genetic prediction of nervous feelings and unspecified mental disorders in IIDs, CNS infections, SSTI, pneumonia, or urinary tract infection. Sensitivity analyses showed that the above causal association estimates were robust. In this MR study, we demonstrated a causal relationship between sleep disorders, depression, anxiety, and the risk of infectious diseases. However, no evidence was found to support causality between nervous feelings, unspecified mental disorders, and the risk of infectious diseases.

Risk factors and consequences of mental health problems in nurses: A scoping review of cohort studies.

Mental health problems in nurses are prevalent and impairing. To date, no literature has comprehensively synthesised cohort evidence on mental health among nurses. This scoping review aimed to synthesise the existing literature on the risk factors and consequences of mental health problems in nurses. A systematic search was conducted on PubMed, EMBASE, Epistemonikos database, Web of Science, CINAHL, and PsycINFO from inception to March 2023. We identified 171 cohort studies from 16 countries, mostly (95.3%) from high-income economies. This review indicated that nurses worldwide encountered significant mental health challenges, including depression, cognitive impairment, anxiety, trauma/post-traumatic stress disorder, burnout, sleep disorder, and other negative mental health problems. These problems were closely related to various modifiable risk factors such as nurses' behaviours and lifestyles, social support, workplace bullying and violence, shift work, job demands, and job resources. Moreover, nurses' mental health problems have negative effects on their physical health, behaviour and lifestyle, occupation and organisation, and intrapersonal factors. These findings provided an enhanced understanding of mental health complexities among nurses, and shed light on policy enactment to alleviate the negative impact of mental health problems on nurses. Addressing mental health among nurses should be a top priority.

Adherence to the Mediterranean diet and depressive, anxiety, and stress symptoms in Spanish adolescents: results from the EHDLA study.

Depression and anxiety are prevalent and disabling conditions among adolescents. The aim of this study was to examine the relationship between adherence to the Mediterranean diet (MD) and depressive, anxiety, and stress symptoms in adolescents. This cross-sectional study included a sample of 698 adolescent students from a region of Spain (mean age of 13.9 ± 1.5years; 56.2% girls). Adherence to the MD was evaluated with the Mediterranean Diet Quality Index in children and adolescents (KIDMED). Mental health symptoms were measured with the Depression, Anxiety, and Stress Scale (DASS-21). Logistic regression models were performed, including a wide range of potential confounders. Compared to individuals with low adherence to the MD, those with moderate and high adherence had lower odds of experiencing depressive symptoms (odds ratio [OR] = 0.40, 95% confidence interval [CI] 0.24-0.65 and OR = 0.33, 95% CI 0.20-0.55, respectively), which were statistically significant even after adjustment. No significant associations were found regarding anxiety or stress symptoms. Therefore, according to our results, higher adherence to the MD is inversely related to having depressive symptoms among adolescents, regardless of socioeconomic, anthropometric, and lifestyle factors. Considering the deleterious effects of mental health problems in youths, further research on the role of nonpharmacological strategies for the prevention and treatment of depressive symptoms in adolescence is essential.

Mental health and educational attainment: How developmental stage matters.

Developmental science suggests that the consequences of mental health problems for life-course outcomes may depend on the timing of their onset. This study investigated the extent to which mental health predicted educational attainment at ages 17, 20, and 25 and whether gender moderated the links between mental health and educational attainment. It used data from Next Steps, a nationally representative panel survey of individuals born in 1989/1990 in England (N = 15,594, 48% female, 33% ethnic minority). The findings suggest that differences in mental health were more consequential for educational attainment during adolescence than in young adulthood. On average, girls attained higher levels of education than boys, but gender did not moderate the role that mental health played for educational attainment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

English

In the years following the COVID-19 pandemic, children and adolescents around the world continue to experience unprecedented levels of mental health problems. Governments’ failures to protect children from the development of mental health problems, and to treat and mitigate the effects of mental health problems after onset, violates children’s fundamental human rights under Articles 24 and 39 of the United Nations Convention on the Rights of the Child (CRC). As child and youth mental health has become a global health priority, the global accountability systems embedded in the CRC present opportunities to hold governments accountable for their obligations to children and to promote holistic health by improving the conditions of the environments that children are raised in. This paper presents avenues for child mental health promotion through the human rights and policy framework and pays particular attention to the Canadian context.

Mental health problems in first‐generation university students: A scoping review

AbstractDespite growing concern about mental health problems in university students and increasing recognition that first‐generation university students (FGS) may face additional challenges, there has been no previous attempt to map the existing research on FGS mental health. The aim of this scoping review was to elicit current understanding of mental health problems in FGS from the literature. Following database searches and screening, 40 peer‐reviewed articles were included in the scoping review. Findings from these studies were synthesised for: types of mental health problems in FGS; prevalence of mental health problems in FGS compared to continuing‐generation students (CGS); factors associated with mental health problems in FGS; effects of mental health problems on FGS; help‐seeking for mental health problems in FGS; and interventions. Significant gaps were highlighted and recommendations made for future research, particularly outside the United States. True commitment to widening participation demands much more research on mental health problems in FGS to ensure that they thrive not just arrive. Context and implications Rationale for this studyThe aim of this scoping review was to map the existing international research on mental health problems in first‐generation university students (FGS).Why do the new findings matter?The scoping review synthesises findings from 40 empirical studies published in peer‐reviewed journals, giving valuable insights into mental health problems in FGS and highlighting significant gaps in our understanding.Implications for higher education researchers and universitiesThe findings of the scoping review are a call to action for future research in this field. More studies are needed, particularly outside the United States, using a variety of research designs to gain a more comprehensive understanding of mental health problems in FGS. This research should be prioritised so that universities are provided with evidence‐based recommendations to mitigate and/or address mental health problems in FGS, thereby helping to ensure that they thrive in higher education.

Relationship between Mental Health Problems and Resilience Among Students. The Moderating Role of Motivation for Mathematics Learning

The paper presents the results of a study testing the moderating role of the motivation for mathematics learning between mental health problem and resilience in children. The sample consisted in 707 Romanian children, (average age 13 years old). The students filled in the questionaries for strengths and difficulties (SDQ), the CYRM for Resilience (Ungar&amp; Theron, 2019) and a questionnaire for mathematics attitudes. The results indicate a significant moderating effect of the mathematic motivation for the relationship between mental health problems (difficulties such as emotional problem, behavioral problems, hyperactivity and peer relations problem) and resilience. So, the mathematic motivation learning reduces the negative effect of mental health problems on resilience, contributing as a protective factor in front of difficulties. There are implications for learning design in educational settings, so the teachers could pay more attention to enhance the student’s motivation for learning mathematics as a possible intervention to enhance resilience.

Sleep Deprivation and Insomnia in Adolescence: Implications for Mental Health.

Sleep changes significantly throughout the human lifespan. Physiological modifications in sleep regulation, in common with many mammals (especially in the circadian rhythms), predispose adolescents to sleep loss until early adulthood. Adolescents are one-sixth of all human beings and are at high risk for mental diseases (particularly mood disorders) and self-injury. This has been attributed to the incredible number of changes occurring in a limited time window that encompasses rapid biological and psychosocial modifications, which predispose teens to at-risk behaviors. Adolescents' sleep patterns have been investigated as a biunivocal cause for potential damaging conditions, in which insufficient sleep may be both a cause and a consequence of mental health problems. The recent COVID-19 pandemic in particular has made a detrimental contribution to many adolescents' mental health and sleep quality. In this review, we aim to summarize the knowledge in the field and to explore implications for adolescents' (and future adults') mental and physical health, as well as to outline potential strategies of prevention.

Yoga as an Escape from Depreciating Mental Health due to COVID 19: A Qualitative study analyzing the factors associated with mental status based on the experiences of geriatric population's participation in an Online program during COVID 19 lockdown in India.

The COVID-19 pandemic has left an array of direct physical consequences unevenly on the elderly apart from leaving a wide range of indirect consequences of mental health problems on them. This study aims to understand the effect of a Yoga-Meditation based mobile phone application intervention to reduce the duress by mental health issues via a qualitative analysis. A phenomenological qualitative succession of an explanatory sequential design of a prior quantitative study followed by a Yoga-Meditation mobile phone based intervention, where 30 participants who had mild or moderate Depression, Anxiety or Stress as assessed by DASS-21 were chosen by random sampling and were asked to take part in an interview. The interview was transcribed, coded, patterns identified and themes were created to understand the perceptions. Three major schools of thought were identified and explored to understand the general perception of Mental health, COVID-19 and the intervention: a) Knowledge Axis patterns of COVID-19, which included their prior knowledge about the disease, its consequences and their cues to action based on those beliefs, b) Mental Health and Strategies to Positivity, involves all their actions to promote, restore or propagate a positive mental attitude from religious activities to physical activities and c) Application related thoughts, involved their perceptions of the app, the barriers to use and suggestions to improve. This study gave deeper insight into the schools of thought which will be important in designing future interventions and yoga-meditation based programs in the future, essentially for geriatric populations as it serves as a feasible simple measure for the same.

Assessment and Prediction of Depression and Anxiety Risk Factors in Schoolchildren: Machine Learning Techniques Performance Analysis.

BackgroundDepression and anxiety symptoms in early childhood have a major effect on children’s mental health growth and cognitive development. The effect of mental health problems on cognitive development has been studied by researchers for the last 2 decades.ObjectiveIn this paper, we sought to use machine learning techniques to predict the risk factors associated with schoolchildren’s depression and anxiety.MethodsThe study sample consisted of 3984 students in fifth to ninth grades, aged 10-15 years, studying at public and refugee schools in the West Bank. The data were collected using the health behaviors schoolchildren questionnaire in the 2013-2014 academic year and analyzed using machine learning to predict the risk factors associated with student mental health symptoms. We used 5 machine learning techniques (random forest [RF], neural network, decision tree, support vector machine [SVM], and naive Bayes) for prediction.ResultsThe results indicated that the SVM and RF models had the highest accuracy levels for depression (SVM: 92.5%; RF: 76.4%) and anxiety (SVM: 92.4%; RF: 78.6%). Thus, the SVM and RF models had the best performance in classifying and predicting the students’ depression and anxiety. The results showed that school violence and bullying, home violence, academic performance, and family income were the most important factors affecting the depression and anxiety scales.ConclusionsOverall, machine learning proved to be an efficient tool for identifying and predicting the associated factors that influence student depression and anxiety. The machine learning techniques seem to be a good model for predicting abnormal depression and anxiety symptoms among schoolchildren, so the deployment of machine learning within the school information systems might facilitate the development of health prevention and intervention programs that will enhance students’ mental health and cognitive development.

Research on Mental Health Monitoring Scheme of Migrant Children Based on Convolutional Neural Network Based on Deep Learning.

In recent years, with the acceleration of urbanization and the implementation of compulsory education, the pressure on students' study and life has increased, and the phenomenon of psychological and behavioral problems has become increasingly prominent. Therefore, the school has regarded students' mental health education as the top priority in teaching work. Effective expression classification can assist psychology researchers to study psychology and other disciplines and analyze children's psychological activities and mental states by classifying expressions, thereby reducing the occurrence of psychological behavior problems. Most of the current mainstream methods focus on the exploration of text explicit features and the optimization of representation models, and few works pay attention to deeper language expressions. Metaphors, as language expressions often used in daily life, are closely related to an individual's emotion, cognition, and psychological state. This paper studies children's smiling face recognition based on deep neural network. In order to obtain a better identification effect of mental health problems of children, this paper attempts to use multisource data, including consumption data, access control data, network logs, and grade data, and proposes a multisource data-based mental health problem identification algorithm. The main research focus is feature extraction, trying to use one-dimensional convolutional neural network (1D-CNN) to mine students' online patterns from online behavior sequences, calculate abnormal scores based on students' consumption data in the cafeteria, and describe the dietary differences among students. At the same time, this paper uses the students' psychological state data provided by the psychological center as a label to improve the deficiencies caused by the questionnaire. This paper uses the training set to train five common classification algorithms, evaluates them through the validation set, and selects the best classifier as our algorithm and uses it to identify students with mental health problems in the test set. The experimental results show that precision reaches 0.68, recall reaches 0.56, and F1-measure reaches 0.67.

Parental divorce and smoking dependence in Lebanese adolescents: the mediating effect of mental health problems

BackgroundLebanon has the highest prevalence estimates among Middle Eastern countries and Arab women regarding cigarette smoking, with 43% of men and 28% of women involved in such trends. Marital disruption is a tremendous source of irritability and discomfort that may hinder a child's healthy development, creating perturbing distress and increasing disobedience that may exacerbate smoking addiction. Additionally, Lebanese adolescents are inflicted by high emotional and economic instability levels, rendering increased susceptibility to distress and propensity to engage in addictive behavior. This study aims to investigate the association between parental divorce and smoking dependence among Lebanese adolescents, along with exploring the potential mediating effect of mental health disorders of such correlation.MethodsA total of 1810 adolescents (14 and 17 years) enrolled in this cross-sectional survey-based study (January-May 2019). Linear regressions were conducted to check for variables associated with cigarette and waterpipe dependence. PROCESS v3.4 model 4 was used to check for the mediating effect of mental health disorders between parental divorce and smoking dependence.ResultsHigher suicidal ideation and having divorced parents vs living together were significantly associated with more cigarette and waterpipe dependence. Higher anxiety was significantly associated with more waterpipe dependence. Insomnia and suicidal ideation played a mediating role between parental divorce and cigarette/waterpipe dependence.ConclusionOur results consolidate the results found in the literature about the association between parental divorce and smoking addiction and the mediating effect of mental health issues. We do not know still in the divorce itself or factors related to it are incriminated in the higher amount of smoking in those adolescents. Those results should be used to inspire parents about the deleterious effect of divorce on their children to lower their risk of smoking addiction. Further longitudinal studies are needed to better understand the complexity of such associations and to see whether the divorce experience by itself or the factors that accompany it are involved in the increased smoking addiction among adolescents.

The impact of the COVID-19 pandemic on the prevalence and risk factors of workplace violence among healthcare workers in China.

BackgroundThe pandemic of COVID-19 has significantly increased the burden on healthcare workers and potentially affect their risk of workplace violence (WPV). This study aimed to explore the prevalence and risk factors of WPV among healthcare workers during the peaking and the remission of the COVID-19 pandemic in China.MethodsUsing the snowball method, a repeated online questionnaire survey was conducted among Chinese healthcare workers from March 27th to April 26th in 2020 and 2021, respectively. Data included healthcare workers' socio-demographic and occupational characteristics, psychological status, and workplace violence.ResultsA total of 3006 samples in 2020 and 3465 samples in 2021 were analyzed. In 2020, the prevalence of WPV and witnessing colleagues suffering from WPV among healthcare workers were 64.2% and 79.7% respectively. Compared with 2020, the prevalence decreased by 11.0% and 14.4% in 2021, respectively. Logistic regression showed that WPV in 2020 was influenced by males, long working experience, working in the psychiatric department, direct contact with COVID-19 patients, self-discovery of medical errors, moral injury, depression, and anxiety (minimum OR = 1.22, maximum OR = 2.82). While risk factors of WPV in 2021 included males, working in psychiatric departments, self-discovery of medical errors, moral injury, depression, and anxiety (minimum OR = 1.33, maximum OR = 3.32); and protective factors were holding a master's degree (OR = 0.78) and working in other departments (OR = 0.54).ConclusionThis study retains the common effects of WPV among healthcare workers, though after the baptism of the COVID-19 pandemic, the prevalence of WPV among healthcare workers decreased; however, part of the influencing factors changed. In addition, COVID-19 has seriously affected the mental health of healthcare workers, and the effect of mental health problems on WPV should also attract more attention.

Mental Health Status Among Iranian Medical University Students: A Cross-sectional Study

Background: Mental health status of university students is a critical issue due to its essential role in students’ academic performance. Therefore, this study aimed to evaluate the mental health status of first-year students at Hamadan University of Medical Sciences in 2020. Methods: All first-year students of Hamadan University of Medical Sciences entered this cross-sectional study through census sampling. Two Questionnaires, the Goldberg’s General Health Questionnaire-12 (GHQ-12) as a screening instrument, and a researcher-made questionnaire were used to collect demographic information. After data collection, the chi-square test and logistic regression coefficient were applied to analyze the data at a significance level of 0.05. Results: The results showed that out of 875 students, 170 cases (19.4%) suffered from mental disorders, including depressed mood (93.5%) and anxiety attack (22%) as the most and least common disorders, respectively. Fitting the logistic regression model revealed that the highest educational degree (P&lt;0.001, medical residency), admission quotas other than the free quota (P=0.03), high (P=0.04) and low (P=0.01) financial status, and fathers’ unemployment (P=0.04) increased the chance of mental health disorders. Conclusion: Due to the high rate and negative consequences of mental health problems in university students, it is recommended that university counseling centers provide services for students with a focus on coping with more frequent mental disorders. Finally, it is suggested they have yearly follow-up surveys to recognize the effects of the university environment and different conducted programs on the students’ mental status.

Mental Health and Human Rights of Women

Gender equality leads to better health and mental health for women and girls as well as to better public health and mental health for all. Inequality, discrimination and social exclusion are both cause and consequence of mental health problems for all and affecting women and girls in specific and substantial ways. Equality through the realization of non-discrimination, respect and enablement of autonomy as well as full inclusion in all spheres of life are demands of gender equality legislation as well as human rights obligations for persons with mental health problems. Essentials of non-discrimination laws concern key areas, including health, family planning, marriage and parenthood, employment, housing, education, standards of living and social, political and cultural participation, along with the right to be free from exploitation, violence and abuse. Gender-specific attention to the risks, rights and needs of women and girls and their families are legal obligations as well as clinical and scientific responsibilities. Because of the cumulative and interacting gender-based and other forms of discrimination, regulations such as those following the adoption of the UN-Convention on the Rights of Persons with Disabilities include specific provisions for women with psychosocial disabilities. Other examples for the urgent necessity of a gender-sensitive approach are – among many others - safety and gender-responsiveness of community and hospital settings, humanitarian crisis response, working with family carers, and of course, mental health teaching and research, including efforts towards gender parity in academic psychiatry.DisclosureNo significant relationships.

Dysfunctional presenteeism: Effects of physical and mental health on work performance

AbstractPoor health in the workforce is costly to employers and the economy. This is partly due to health problems causing people to spend less time at work but is also due to people being less productive while at work. In this paper, we investigate the causes of dysfunctional presenteeism, defined as reduced productivity at work due to health problems. We find that both physical and mental health significantly predict the probability of dysfunctional presenteeism, and the effects of mental health problems seem to be worse than physical health. In comparison, changes to most other characteristics have little or no effect.

The impact of the COVID-19 lockdown on depression sufferers: a qualitative study from the province of Zaragoza, Spain

Background and purposeThe impact of COVID-19 and its control measures have exacerbated existing mental health conditions. Although the deleterious effects of mental health problems are well known, fewer studies have examined the links between the Social Determinants of Health (SDHs) and depression. This study provides insights into the relationship between SDHs and depression during the first strict lockdown in Spain, which lasted for a period of 7 weeks.MethodsFifty-two structured interviews were conducted with people diagnosed with depression during June 2020 in the province of Zaragoza (Spain). Interviews were conducted by telephone due to lockdown constraints. Inductive thematic content analysis was used to explore, develop, and define emergent categories of analysis, which were mapped against the SDH framework.ResultsListening to people’s experiences of living with depression during lockdown provided insights into their concerns and coping strategies, which are greatly influenced by the conditions in which they live, their job and their age. Examples of these factors include access to and quality of physical spaces, including housing conditions and public spaces for socialising, social support, adverse working conditions which include caring responsibilities, and access to digital technologies and healthcare services.ConclusionSDHs have played a fundamental role in shaping people’s health and well-being during the COVID-19 pandemic, and this study has shown that they have a considerable effect on depression outcomes. Governments should consider implementing social welfare programs to tackle both psychosocial problems and material need during crisis situations.

Effect of Growth Mindset on Mental Health Two Years Later: The Role of Smartphone Use.

The negative association between the growth mindset and mental health problems suggests that prevention and intervention programs to improve mental health by targeting mindset may have potential clinical value. However, research on the longitudinal effect of mindset on adolescent mental health and its underlying mechanisms is lacking. Using a three-wave longitudinal design, we obtained data from a diverse sample of Chinese adolescents (n = 2543). Longitudinal multiple mediation models were constructed to examine the effects of the growth mindset on levels of anxiety and depression two years later. In addition, the mediating effects of smartphone use for entertainment and problematic smartphone use (PSU) were examined. After controlling for various covariates and the autoregressive effects of mental health problems, the growth mindset had significant negative effects on anxiety (β = −0.053, p = 0.004) and depression (β = −0.074, p < 0.001). Smartphone use had a significant mediating role in the effect of mindset on anxiety (β = −0.016, p < 0.001) and depression (β = −0.016, p < 0.001). The growth mindset has long-lasting positive effects on adolescent mental health. Smartphone use for entertainment and PSU mediate the effect of mindset on adolescent mental health.

The effects of mental health problems in childhood and adolescence in young adults: Results of the KiGGS cohort.

Mental health problems in childhood and adolescence may have effects into adulthood. With the KiGGS cohort, data are available for the first time that can be used to track the effects of internalising and externalising problems in childhood or adolescence into young adulthood on a national database. From the KiGGS baseline survey (2003–2006) to KiGGS Wave 2 (2014–2017), a total of 3,546 children and adolescents aged 11 to 17 years were tracked over a period of eleven years into young adulthood. Mental health problems in childhood or adolescence were variously associated with impaired mental health, lower life satisfaction and poorer quality of life and indicators of sexual and reproductive health in young adulthood.When psychosocial protective factors at the time of the KiGGS baseline survey were considered, the longitudinal correlations of internalising and externalising problems with indicators of mental health, life satisfaction and physical and psychological quality of life decreased, as did, to a lesser extent, the correlations with indicators of sexual and reproductive health and, for externalising disorders, also with low educational status (reference: medium). Implications for prevention and intervention are discussed.

Relationships among the Internal Health Locus of Control, Mental Health Problems, and Subjective Well-Being of Adults in South Korea.

The purpose of this study was to confirm the relationship between internal health locus of control, mental health problems, and subjective well-being in adults during the prolonged COVID-19 pandemic. In particular, the mediating effect of mental health problems on the relationship between internal health locus of control and subjective well-being was examined. A cross-sectional descriptive design was conducted via online survey. The participants were 600 adults over 20 years of age living in South Korea. The collected data were analyzed using hierarchical regression analysis and SPSS Process Macro (Model 4). As a result of the study, the internal health locus of control had a significant negative effect on mental health problems. In addition, in the process of the internal health locus of control affecting subjective well-being, the mediating effect of mental health problems was significantly shown. In the period of an infectious disease pandemic such as COVID-19, it is necessary to establish a strong internal health locus of control of individuals and to promote monitoring and treatment introduction for those with a low internal health locus of control. In addition, it was discussed that controlling mental health problems can improve subjective well-being, which is life satisfaction and happiness.