Relevant bibliographies by topics / Mental illness – Risk factors

Academic literature on the topic 'Mental illness – Risk factors'

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Published: 4 June 2021
Last updated: 30 January 2023

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Journal articles on the topic "Mental illness – Risk factors"

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Anonymous. "Examining the risk factors for mental illness." Journal of Psychosocial Nursing and Mental Health Services 36, no. 7 (July 1998): 7–8. http://dx.doi.org/10.3928/0279-3695-19980701-04.

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Davidson, Sandra, Fiona Judd, Damien Jolley, Barbara Hocking, Sandra Thompson, and Brendan Hyland. "Cardiovascular Risk Factors for People with Mental Illness." Australian & New Zealand Journal of Psychiatry 35, no. 2 (April 2001): 196–202. http://dx.doi.org/10.1046/j.1440-1614.2001.00877.x.

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Objective: The objective of this study was to document the prevalence of risk factors for cardiovascular disease among people with chronic mental illness. Method: A cross-sectional survey was conducted of 234 outpatients attending a community mental health clinic in the North-western Health Care Network in Melbourne, Australia. Prevalence of smoking, alcohol consumption, body mass index, hypertension, salt intake, exercise and history of hypercholesterolemia was assessed. Results: Compared with a community sample, the mentally ill had a higher prevalence of smoking, overweight and obesity, lack of moderate exercise, harmful levels of alcohol consumption and salt intake. No differences were found on hypertension. Men, but not women, with mental illness were less likely to undertake cholesterol screening. Conclusions: Psychiatric outpatients have a high prevalence of cardiovascular risk factors which may account for the higher rate of cardiovascular mortality among the mentally ill. Further research is needed to trial and evaluate interventions to effectively modify risk factors in this vulnerable population.
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Knox, Michael D., Timothy L. Boaz, Martha A. Friedrich, and Michael G. Dow. "HIV Risk Factors for Persons with Serious Mental Illness." AIDS Patient Care 9, no. 4 (August 1995): 192–98. http://dx.doi.org/10.1089/apc.1995.9.192.

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Fulwileru, Carl, and Robin Ruthazer. "Premorbid risk factors for violence in adult mental illness." Comprehensive Psychiatry 40, no. 2 (March 1999): 96–100. http://dx.doi.org/10.1016/s0010-440x(99)90112-8.

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Knox, Michael D., Timothy L. Boaz, Martha A. Friedrich, and Michael G. Dow. "HIV risk factors for persons with serious mental illness." Community Mental Health Journal 30, no. 6 (December 1994): 551–63. http://dx.doi.org/10.1007/bf02188592.

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Matejkowski, Jason, Jeffrey Draine, Phyllis Solomon, and Mark S. Salzer. "Mental Illness, Criminal Risk Factors and Parole Release Decisions." Behavioral Sciences & the Law 29, no. 4 (July 2011): 528–53. http://dx.doi.org/10.1002/bsl.991.

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Muirhead, Lisa. "Cancer Risk Factors Among Adults with Serious Mental Illness." American Journal of Preventive Medicine 46, no. 3 (March 2014): S98—S103. http://dx.doi.org/10.1016/j.amepre.2013.10.028.

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Patel, Vikram, Betty R. Kirkwood, Sulochana Pednekar, Helen Weiss, and David Mabey. "Risk factors for common mental disorders in women." British Journal of Psychiatry 189, no. 6 (December 2006): 547–55. http://dx.doi.org/10.1192/bjp.bp.106.022558.

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BackgroundThe determinants of common mental disorders in women have not been described in longitudinal studies from a low-income country.MethodPopulation-based cohort study of 2494 women aged 18 to 50 years, in India. The Revised Clinical Interview Schedule was used for the detection of common mental disorders.ResultsThere were 39 incident cases of common mental disorder in 2166 participants eligible for analysis (12-month rate 1.8%, 95% CI 1.3–2.4%). The following baseline factors were independently associated with the risk for common mental disorder: poverty (low income and having difficulty making ends meet); being married as compared with being single; use of tobacco; experiencing abnormal vaginal discharge; reporting a chronic physical illness; and having higher psychological symptom scores at baseline.ConclusionsProgrammes to reduce the burden of common mental disorder in women should target poorer women, women with chronic physical illness and who have gynaecological symptoms, and women who use tobacco.
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Newcomer, John W. "Introduction:Cardiovascular Disease and Metabolic Risk Factors in Patients with Mental Illness." CNS Spectrums 13, S10 (June 2008): 3–4. http://dx.doi.org/10.1017/s1092852900003084.

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According to the National Comorbidity Study Replication, >25% of people in the United States have some type of mental illness. The prevalence of serious mental illness has been estimated at 6.2%. Patients with severe and persistent mental illness have significantly reduced life expectancy relative to the general population. On average, pooled populations of public sector inpatients and outpatients die 25–30 years earlier than unaffected individuals in the general population, according to recent data from multiple states in the US. Schizophrenia and bipolar disorder together account for ∼23,000 deaths and >20 million life-years of disability worldwide each year. The most common cause of mortality in these individuals is cardiovascular disease (CVD), not, as might be assumed, suicide (Figure 1). Heart disease and stroke are the most common causes of death in patients with serious mental illness, accounting for ∼40% of deaths, underlying the dramatically decreased life expectancy in these patients.
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Furber, Gareth, Matthew Leach, Sophie Guy, and Leonie Segal. "Developing a broad categorisation scheme to describe risk factors for mental illness, for use in prevention policy and planning." Australian & New Zealand Journal of Psychiatry 51, no. 3 (September 29, 2016): 230–40. http://dx.doi.org/10.1177/0004867416642844.

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Objectives: The prevention of mental illness involves identifying and modifying those characteristics and exposures of an individual that threaten their mental health – commonly referred to as risk factors. Existing categorisations of risk factors for mental illness are either limited in their scope or oversimplified in their description. As part of a large mental health workforce and service planning project, we set out to develop a more detailed and comprehensive categorisation scheme to describe risk factors for mental illness. Methods: We conducted a rapid review of MEDLINE and Google Scholar for meta-analytic studies that examined the characteristics and exposures that typify the population with mental illness in order to identify and categorise potential risk factors. Results: The search uncovered 1628 relevant studies, from which 10 primary and 23 secondary categories of risk factors were identified, ranging from genetic and biomedical to psychological and sociocultural. The review revealed interesting distortions in the focus of the literature, with the majority of studies focused on a few disorders (schizophrenia, depression and neurodegenerative disorders) and genetic, psychological and physiological risks. In contrast, environmental (e.g. media exposure) and occupational (e.g. employee health) were under-represented. Conclusion: The categorisation scheme developed in this paper is a step towards a more detailed taxonomy of risk factors for mental illness; this will be most useful in guiding clinicians, researchers and policy-makers in driving the prevention agenda forward.
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Dissertations / Theses on the topic "Mental illness – Risk factors"

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Klik, Kathleen. "Risk and Protective Factors of Internalized Mental Illness Stigma." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etd/2573.

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The internalization of mental illness stigma is associated with an array of negative consequences; however, not all individuals experience the deleterious effects of internalized mental illness stigma. The present dissertation focuses on factors associated with internalized stigma, and will be the first to examine simultaneously both risk (i.e., shame, shame proneness and shame aversion, insight, and centrality and valence) and protective factors (social support and self-compassion) of internalized mental illness stigma. Using two of the most widely used assessments of internalized mental illness stigma (i.e., Self-Stigma of Mental Illness Scale [SSMIS] and the Internalized Mental Illness Scale [ISMI]), risk and protective factors were examined among adults recruited through Amazon Mechanical Turk (AMT; n = 215) and Facebook (n = 153) who self-reported a mental illness diagnosis. Whereas among AMT participants, shame proneness and centrality were significant predictors of the process of internalization of mental illness stigma (measured by the Stereotype Self-Concurrence subscale of the SSMIS), among Facebook participants centrality was the only significant predictor of process of the internalization of mental illness stigma. In addition, whereas among AMT participants, shame proneness (measured by the PFQ-2), centrality, valence, and social support were significant predictors of the experience of internalized stigma (measured by the ISMI), among Facebook participants state shame, centrality, valence, and social support were significant predictors of the experience of internalized stigma. Thus, centrality was the only significant risk factor across measures and samples. It is possible that the current dissertation may help to differentiate individuals at particular risk for internalization and ultimately to harness resilience for those diagnosed with a mental illness, particularly among those diagnosed with mood or anxiety-related diagnoses.
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van, Wormer Rupert Talmage. "Risk Factors for Homelessness Among Community Mental Health Patients with Severe Mental Illness." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/653.

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The purpose of this study was to identify risk factors associated with homelessness, assess the relationship between housing status and consumption of costly publicly funded resources, to identify characteristics associated with service retention, and to evaluate whether length of treatment is associated with better outcomes. The target population was homeless and formerly homeless adults with SMI enrolled in community mental health services at the Downtown Emergency Service Center SAGE mental health program located in Seattle. The sample consisted of 380 SAGE patients who had continuous enrollment in 2005. These patients formed the cohort for the study. Agency records for these patients were reviewed for a 3-year period (2005-2007). The study utilized a non-experimental retrospective cohort study design. Multiple logistic regression, hierarchical multiple regression, two-way repeated measures ANOVA, and Cochran's Q test were used to analyze the data. Homelessness was associated with African American race, substance use, lower income, and younger age. Patients who were homeless spent more time in jail and required more mental health staff time compared with patients with stable housing. Patients with schizophrenia were more likely to retain services and African American patients were less likely to retain services. Overall, patients who remained enrolled in services from Year 1 to Year 3 had improved housing stability, fewer days of incarceration, and required less staff support. The overrepresentation of African Americans among patients who experienced homelessness suggests that racism could be a factor contributing to homelessness for this racial group. Further research is needed to assess the relationship between race and homelessness.
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Wong, Pak-shun, and 黃伯順. "Suicide risk assessment in community dwelling people with severe mental illness." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46583361.

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Aphane, M. A. "Lay opinions and knowledge of Dikgopheng Community about mental illness in Polokwane Municipality." Thesis, University of Limpopo, 2015. http://hdl.handle.net/10386/1193.

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Thesis (M.Dev.) --University of Limpopo, 2015
In preparation for the launch of the Flemish Interuniversity Council-Institutional Cooperation (VLIR-IUC) in 2010, the Development Facilitation and Training Institute (DevFTI), University of Limpopo, conducted a scoping exercise with community members in villages within Dikgale in the Limpopo Province. The purpose of the exercise was to identify both the assets within the community — as well as the challenges being experienced in the area. During discussions with leaders of the Community Based Organisations (CBOs) it became apparent that mental health related issues were an emerging issue of concern — with special emphasis placed on the levels of stigma that existed towards mental illness in the area. It is against this backdrop that the researcher was motivated to conduct a study with the aim of finding out the opinions and knowledge of the lay people about mental illness in Dikgopheng community, situated within the broader Dikgale area, in Polokwane Local Municipality in the Limpopo Province. The study used a quantitative descriptive survey research design in which participants answered questions administered through questionnaires. A random sampling strategy was used to secure a representative sample size of 249 respondents out of the total population of 700. IBM’s Statistical Package for Social Sciences for Windows (SPSS version 20) was used to analyse the descriptive statistics. Inconclusive results were found about formal knowledge of the psychosocial risk factors associated with the onset of mental illness. In contradistinction, patterns of cultural associations linked to the onset of mental illness were significant. Furthermore, an overwhelming majority of the community (75.1%) of the community members were found to have ‘stigmatisation’ opinions about people with mental illness. Due to the lack of the psychosocial knowledge about risk factors and the onset of mental illness, it is recommended (i) that there is a need for education and training to raise awareness about risk factors associated with the onset of mental illness and (ii) that further qualitative research be undertaken to explore issues relating to mental illness and stigma in more depth in the area that specifically focuses on ameliorative measures that address stigma that could be implemented within the community.
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Russell, Kia Chevon. "Recidivism Rates Among Juveniles With Mental Illness." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4404.

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Treating mental illness is imperative to help reduce criminal justice involvement within the juvenile population. Receiving mental health care will help decrease the likelihood for youth to reoffend, ultimately reducing recidivism rates. Past studies showed there are risk factors associated with juveniles and recidivism; however, very few studies have examined what factors are prevalent after services have been received. The purpose of this study was to identify factors that increase the risk of recidivism among juveniles who have received psychiatric stabilization in Harris County, Texas. Risk factors that were assessed included age, gender, ethnicity, and criminal offense. The psychodynamic perspective guided this study and archival data were obtained from the Harris County Psychiatric Center Database. Several statistical analyses were used in this study to include a t test, chi square analysis, and a binary logistic regression analysis. Results from this study found no significant relationship with mental health diagnosis and recidivism nor did it find a significant difference in the length of stay at the psychiatric center. This study did find that simple demographics were stronger than any predictor, concluding that younger Black males were more likely to recidivate. Based on the findings from this study, juvenile justice representatives will be able to evaluate and develop programs specifically targeted to the risk factors found to be associated with recidivism.
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Sun, Qi. "Assessing Social Determinants of Severe Mental Illness in High-Risk Groups." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc500085/.

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The primary objective of this research was to explore the impact of possible social factors on non-institutionalized adults 18 years of age or older residing in the United States who exhibited severe mental illness (SMI). A holistic sociological model was developed to explain SMI by incorporating elements of social learning theory, social disorganization theory, and gender socialization theory with social demographic factors. Based on the holistic sociological model, the following factors were investigated: demographic aspects of age, education, income and gender; gender socialization; influence of neighborhood area; social network influence based on communication and interaction among peers and family members; and socially deviant behaviors such as frequently smoking cigarettes, drinking alcohol and using drugs specifically marijuana. The impact of these factors on SMI was examined. A sample of 206 respondents drawn from National Survey on Drug Use and Health, 2003 was assessed. These respondents had answered all the questions related to SMI; social deviant behaviors; neighborhood environment; and communications among peers, family members and friends; and the other studied factors. Ordinary linear regression with interaction terms was employed as a statistical tool to assess the impact of social determinants on SMI. Being female, living a disorganized neighborhood, and frequent and high levels of smoking cigarettes and drinking alcohol had a significant influence on SMI. This reevaluation and reexamination of the role of gender socialization path, socially deviant behaviors like smoking and drinking, and community construction on SMI provided additional insights. This research is one of the first to develop a more holistic sociological model on SMI and explored the previously untested interactive relationships. The limitations of this study suggest the need to test a potential recursive research model and explore additional bi-directional associations.
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Morgan, Vera Anne. "Intellectual disability co-occurring with schizophrenia and other psychiatric illness : epidemiology, risk factors and outcome." University of Western Australia. School of Psychiatry and Clinical Neurosciences, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0209.

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(Truncated abstract) The aims of this thesis are: (i) To estimate the prevalence of psychiatric illness among persons with intellectual disability and, conversely, the prevalence of intellectual disability among persons with a psychiatric illness; (ii) To describe the disability and service utilisation profile of persons with conjoint disorder; (iii) To examine, in particular, intellectual disability co-occurring with schizophrenia; and (iv) To explore the role of hereditary and environmental (specifically obstetric) risk factors in the aetiology of (i) intellectual disability and (ii) intellectual disability co-occurring with psychiatric illness. This thesis has a special interest in the relationship between intellectual disability and schizophrenia. Where data and sample sizes permit, it explores that relationship at some depth and has included sections on the putative nature of the link between intellectual disability and schizophrenia in the introductory and discussion chapters. To realise its objectives, the thesis comprises a core study focusing on aims (i) – (iii) and a supplementary study whose focus is aim (iv). It also draws on work from an ancillary study completed prior to the period of candidacy...This thesis found that, overall, 31.7% of persons with an intellectual disability had a psychiatric illness; 1.8% of persons with a psychiatric illness had an intellectual disability. The rate of schizophrenia, but not bipolar disorder or unipolar major depression, was greatly increased among cases of conjoint disorder: depending on birth cohort, 3.7-5.2% of individuals with intellectual disability had co-occurring schizophrenia. Down syndrome was much less prevalent among conjoint disorder cases despite being the most predominant cause of intellectual disability while pervasive developmental disorder was over-represented. Persons with conjoint disorder had a more severe clinical profile including higher mortality rates than those with a single disability. The supplementary study confirmed the findings in the core body of work with respect to the extent of conjoint disorder, its severity, and its relationship with pervasive development disorder and Down syndrome. Moreover, the supplementary study and the ancillary influenza study indicated a role for neurodevelopmental insults including obstetric complications in the adverse neuropsychiatric outcomes, with timing of the insult a potentially critical element in defining the specific outcome. The supplementary study also added new information on familiality in intellectual disability. It found that, in addition to parental intellectual disability status and exposure to labour and delivery complications at birth, parental psychiatric status was an independent predictor of intellectual disability in offspring as well as a predictor of conjoint disorder. In conclusion, the facility to collect and integrate records held by separate State administrative health jurisdictions, and to analyse them within the one database has had a marked impact on the capacity for this thesis to estimate the prevalence of conjoint disorder among intellectually disabled and psychiatric populations, and to understand more about its clinical manifestations and aetiological underpinnings.
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Puckett, Theresa Louise. "The Influence of Risk and Protective Factors on Health-Compromising Behaviors among Incarcerated Juveniles." University of Akron / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=akron1279594086.

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Kabia-Williams, Yma E. "A study of alcoholism, drug abuse, and mental illness as risk factors among adults whose parents were substance abusers." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2009. http://digitalcommons.auctr.edu/dissertations/86.

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This current study describes alcoholism, drug abuse, and mental illness as risk factors among adults whose parents were substance abusers. The intention of this study is to depict a relationship between Parental Substance Abuse and the onset of alcoholism, drug abuse, and mental illness amongst the children of substance abusers as they develop into adulthood. The study suggests having a substance abusive parent increases the risk of the child to develop substance dependencies as well as mental illness in their adulthood. Through parental modeling children witness substance abuse and dependency. As a result, the behavior becomes innate. The results depict a significant statistical relationship at the .05 level of probability between parental substance abuse influencers and substance dependencies as well as mental illness amongst the persons that have been exposed to parental substance abuse influencers during their childhood. Alcoholism, drug abuse, and mental illness are risk factors among adults whose parents were substance abusers. This study also proposes new incentives to minimize this nationwide dilemma.
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Gradell, Brandström Pontus, Linda Kristensson, and Niklas Olausson. "Riskfaktorer angående suicid : - en litteraturstudie." Thesis, Högskolan i Halmstad, Sektionen för hälsa och samhälle (HOS), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-3109.

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Suicid har minskat i Sverige de senaste decennierna men ändå är suicid den vanligaste dödsorsaken bland män i åldersgruppen 15-44 år och bland kvinnor i samma åldersgrupp är det den näst vanligaste dödsorsaken. ...
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Books on the topic "Mental illness – Risk factors"

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Webster, Christopher. Short-term assessment of risk and treatability (START): Clinical guide for evaluation risk and recovery. Hamilton, Ont: St. Joseph's Healthcare Hamilton, 2004.

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Pina, Ignacio Boné. Vulnerabilidad y enfermedad mental: La imprescindible subjetividad en psicopatología. Madrid: Universidad Pontificia Comillas, 2010.

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1943-, Buckley Peter, ed. Sexuality and serious mental illness. Amsterdam: Harwood Academic, 1999.

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Vulnerability to psychopathology: Risk across the lifespan. 2nd ed. New York: Guilford Press, 2010.

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Developmental Psychopathology, Risk, Disorder, and Adaptation, Volume 3. New York: John Wiley & Sons, Ltd., 2006.

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E, Rolf Jon, and Garmezy Norman, eds. Risk and protective factors in the development of psychopathology. Cambridge: Cambridge University Press, 1990.

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Determinants of minority mental health and wellness. New York: Springer, 2009.

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"My nerves are bad": Puerto Rican women managing mental illness and HIV risk. Nashville: Vanderbilt University Press, 2011.

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Beezley, Mrazek Patricia, Haggerty Robert J, Institute of Medicine (U.S.). Committee on Prevention of Mental Disorders., and United States Congress, eds. Reducing risks for mental disorders: Frontiers for preventive intervention research. Washington, D.C: National Academy Press, 1994.

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Association, American Psychological, ed. Vulnerability to psychopathology: A biosocial model. Washington, DC: American Psychological Association, 1999.

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Book chapters on the topic "Mental illness – Risk factors"

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Zimbrean, Paula C., and Rabin Dahal. "Risk Factors and Prevalence of Mental Illness." In Refugee Health Care, 195–214. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47668-7_13.

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Zimbrean, Paula. "Risk Factors and Prevalence of Mental Illness in Refugees." In Refugee Health Care, 149–62. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0271-2_11.

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Croyle, Robert T., and John B. Jemmott. "Psychological Reactions to Risk Factor Testing." In Mental Representation in Health and Illness, 85–107. New York, NY: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4613-9074-9_5.

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Mishara, Brian L., and François Chagnon. "Why Mental Illness is a Risk Factor for Suicide." In The International Handbook of Suicide Prevention, 594–608. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118903223.ch34.

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Holt, Richard I. G., and Robert C. Peveler. "Screening for Diabetes and Cardiovascular Risk Factors in People with Serious Mental Illness." In Modern Trends in Pharmacopsychiatry, 66–81. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000189775.

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Gambino, Matthew. "Risk Assessment in an Age of Neoliberalism: John Monahan’s The Clinical Prediction of Violent Behavior (1981)." In Preventing Mental Illness, 171–86. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98699-9_8.

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Ikwuka, Ugo. "Stigma Predisposing Factors." In Living with Mental Illness in a Globalised World, 14–24. New York, NY: Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9781003143475-3-6.

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Honarmand, Kimia, and Karen J. Bosma. "Risk Factors for Disrupted Sleep in the ICU." In Sleep in Critical Illness, 91–108. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06447-0_6.

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Tanzi, Rudolph E. "The Genetics of Alzheimer’s Disease." In Neurobiology of Mental Illness, edited by David M. Holtzman, 805–9. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199934959.003.0060.

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Risk for Alzheimer’s disease (AD) is strongly influenced by genetics. In fact, following age, the second strongest risk factor for AD is family history. To date, genetic studies have thus far demonstrated that the inheritance of AD is dichotomous. Roughly half of the cases of the rare early-onset (<60 years) familial form of AD (EO-FAD) are caused by rare mutations in APP, PSEN1, and PSEN2.These mutations usually guarantee onset and account for ~5% of AD. The major gene influencing risk for late-onset AD (LOAD) is APOE. The ε‎4 and ε‎2 variants increase and decrease risk for AD, respectively. Together, these four genes account for up to 50% of the genetic variance of AD. To find the remaining AD genes, multiple genome-wide association studies (GWAS) have resulted in the identification of eleven other AD candidate genes. In this review, I summarize the current state of our knowledge of the genetic factors influencing risk for AD and prospects for future studies.
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Faraone, Stephen V., and Joseph Biederman. "Neurobiology of Attention Deficit/Hyperactivity Disorder." In Neurobiology of Mental Illness, edited by Joseph D. Buxbaum, 1034–47. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199934959.003.0078.

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Attention deficit hyperactivity disorder (ADHD) is a prevalent, early onset and persistent, disorder of inattention, hyperactivity and impulsivity. The mechanisms of action of ADHD medications, neuroimaging studies and studies of monoamine systems and animal models suggest that dysregulation of catecholaminergic neurotransmission in cerebellar-corticostriatal circuits plays a key role in the pathophysiology of ADHD. The efficacy of ADHD medications likely arises from their differing profile of effects on a) dopaminergic and noradrenergic systems and b) the localization of these effects in prefrontal cortex and striatum ADHD has a very high heritability and although molecular genetic studies have found no causal common DNA variants yet, they have found strong evidence that rare duplications and deletions are risk factors for ADHD. Environmental risk factors, especially those that impact early neurodevelopment (i.e., exposure to cigarette smoking and alcohol during pregnancy), also influence susceptibility to ADHD.
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Conference papers on the topic "Mental illness – Risk factors"

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Wu, Jiahua. "Mental Illness and Mass Shootings: A Quantitative Treatment of Risk Factors and Mitigation Strategies." In 2021 International Conference on Public Art and Human Development ( ICPAHD 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/assehr.k.220110.191.

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Khaled, Salma, Peter Haddad, Majid Al-Abdulla, Tarek Bellaj, Yousri Marzouk, Youssef Hasan, Ibrahim Al-Kaabi, et al. "Qatar - Longitudinal Assessment of Mental Health in Pandemics (Q-LAMP)." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0287.

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Aims: Q-LAMP aims to identify risk factors and resilience factors for symptoms of psychiatric illness during the pandemic. Study strengths include the 1-year longitudinal design and the use of standardized instruments already available in English and Arabic. The results will increase understanding of the impact of the pandemic on mental health for better support of the population during the pandemic and in future epidemics. Until an effective vaccine is available or herd immunity is achieved, countries are likely to encounter repeated ‘waves’ of infection. The identification of at-risk groups for mental illness will inform the planning and delivery of individualized treatment including primary prevention. Methodology: Longitudinal online survey; SMS-based recruitment and social media platforms advertisements e.g. Facebook, Instagram; Online consent; Completion time for questionnaires: approx. 20 to 30 minute; Baseline questionnaire with follow up at 3, 6, 9 and 12 months; Study completion date: Sept. 2021. Inclusion criteria: Currently living in Qatar; Qatari residents: citizens and expatriates; Age 18 years; read Arabic or English (questionnaire and consent form available in both languages). Instruments: Sociodemographic questionnaire including personal and family experience of COVID-19 infection; Standard instruments to assess psychiatric morbidity including depression, anxiety and PTSD; research team-designed instruments to assess social impact of pandemic; standard questionnaires to assess resilience, personality, loneliness, religious beliefs and social networks. Results: The analysis was based on 181 observations. Approximately, 3.5% of the sample was from the sms-recruitment method. The sample of completed surveys consisted of 65.0% females and 35.0% males. Qatari respondents comprised 27.0% of the total sample, while 52% of the sample were married, 25% had Grade 12 or lower level of educational attainment, and 46.0% were unemployed. Covid-19 appears to have affected different aspects of people’s lives from personal health to living arrangements, employment, and health of family and friends. Approximately, 41% to 55% of those who responded to the survey perceived changes in their stress levels, mental health, and loneliness to be worse than before the pandemic. Additionally, the wide availability of information about the pandemic on the internet and social media was perceived as source of pandemic-related worries among members of the public. Conclusion: The continued provision of mental health service and educational campaigns about effective stress and mental health management is warranted.
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Verga, Cássia Rossetto, Graciela Ishibashi, Guilherme da Silva, Tiago Ordonez, Gabriela dos Santos, Ana Paula Moreira, Luiz de Moraes, et al. "RELATION BETWEEN MOOD DISORDERS AND COVID-19 IN OLDER ADULTS DURING THE PANDEMIC." In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda087.

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Background: Literature data emphasize that the recent spread of the new Coronavirus (COVID-19) pandemic has triggered several mental health issues such as depression and anxiety disorders. Fear of the illness and social distancing have shown to be risk factors for mood disorders. It is thus necessary to study the relation between mood disorders in older adults during the pandemic. Objective: Analyze the relation between mood disorders and COVID-19 in older adults within the pandemic framework. Methods: Cross-sectional study with the application of the following tools: Geriatric Depression Scale (GDS15) and Geriatric Anxiety Inventory (GAI). Results: 428 older adults with an average age of 67.54±5.65 years were evaluated. Most of them were married females with an education level of 14.72±3.54 years and only 10% of them had fallen ill to COVID-19. 71% of them reported changes in mood and anxiety levels due to the pandemic. There was also a significant statistical difference between this group and the other 29% regarding GDS15 and GAI scores (p <0.001). Meaningful correlations were found between GDS and GAI (rho = 0.52 / ρ = 0,001) in which the larger the depressive symptomatology, the higher the anxiety level was. Conclusion: Results suggest that there have been associations between depression and anxiety symptoms in older adults during the pandemic period. Such findings are important for the implementation of social and health public policies.
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Feuston, Jessica L. "Algorithms, Oppression, and Mental Illness on Social Media." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3299072.

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De Choudhury, Munmun. "Social Media for Mental Illness Risk Assessment, Prevention and Support." In HT '15: 26th ACM Conference on Hypertext and Social Media. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2806655.2806659.

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Nkwo, Makuochi, Banuchitra Suruliraj, and Rita Orji. "Public Perception of Mental Illness: Opportunity for Community-based Collaborative Intervention." In CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3334480.3383023.

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Mantilla-Beniers, Natalia Barbara, Rocio Rodriguez-Ramirez, and Christopher Rhodes Stephens. "Crowdsourced risk factors of influenza-like-illness in Mexico." In the 22nd International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2487788.2488026.

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Hemmatirad, Kimia, Hojjat Bagherzadeh, Ehsan Fazl-Ersi, and Abedin Vahedian. "Detection of Mental Illness Risk on Social Media through Multi-level SVMs." In 2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS). IEEE, 2020. http://dx.doi.org/10.1109/cfis49607.2020.9238692.

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Hong, Ziqian. "Exploring the Causes of Mental Illness by Analysis of Congenital and Acquired Factors." In 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.220405.125.

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Gunther, Max L., James C. Jackson, Pratik Pandharipande, Alessandro Morandi, Maureen Hahn, Josh Buckholtz, Brett English, et al. "Genetic Risk Factors For Long-Term Cognitive Impairment After Critical Illness." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a6718.

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Reports on the topic "Mental illness – Risk factors"

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van Wormer, Rupert. Risk Factors for Homelessness Among Community Mental Health Patients with Severe Mental Illness. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.653.

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Travis, Amanda, Margaret Harvey, and Michelle Rickard. Adverse Childhood Experiences and Urinary Incontinence in Elementary School Aged Children. University of Tennessee Health Science Center, October 2021. http://dx.doi.org/10.21007/con.dnp.2021.0012.

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Purpose/Background: Adverse Childhood Experiences (ACEs) have an impact on health throughout the lifespan (Filletti et al., 1999; Hughes et al., 2017). These experiences range from physical and mental abuse, substance abuse in the home, parental separation or loss, financial instability, acute illness or injury, witnessing violence in the home or community, and incarceration of family members (Hughes et al., 2017). Understanding and screening for ACEs in children with urinary incontinence can help practitioners identify psychological stress as a potentially modifiable risk factor. Methods: A 5-month chart review was performed identifying English speaking patients ages 6-11 years presenting to the outpatient urology office for an initial visit with a primary diagnosis of urinary incontinence. Charts were reviewed for documentation of individual or family risk factors for ACEs exposure, community risk factors for ACEs exposures, and records where no related documentation was included. Results: For the thirty-nine patients identified, no community risk factors were noted in the charts. Seventy-nine percent of patients had one or more individual or family risk factors documented. Implications for Nursing Practice This chart review indicates that a significant percentage of pediatric, school-aged patients presenting with urinary incontinence have exposure to ACEs. A formal assessment for ACEs at the time of initial presentation would be helpful to identify those at highest risk. References: Felitti VJ, Anda RF, Nordenberg D, Williamson DF, Spitz AM, Edwards V, Koss MP, Marks JS. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the adverse childhood experiences (ACE) study. Am J Prev Med. 1998;14:245–258 Hughes, K., Bellis, M.A., Hardcastle, K.A., Sethi, D., Butchart, D., Mikton, C., Jones, L., Dunne, M.P. (2017) The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis. Lancet Public Health, 2(8): e356–e366. Published online 2017 Jul 31.doi: 10.1016/S2468-2667(17)30118-4 Lai, H., Gardner, V., Vetter, J., & Andriole, G. L. (2015). Correlation between psychological stress levels and the severity of overactive bladder symptoms. BMC urology, 15, 14. doi:10.1186/s12894-015-0009-6
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Nolan, Anne, and Emer Smyth. Risk and protective factors for mental health and wellbeing in childhood and adolescence. ESRI, December 2021. http://dx.doi.org/10.26504/rs120.

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New ESRI research, based on Growing Up in Ireland, shows that strong relationships with parents, peers and teachers enhance child and adolescent wellbeing New ESRI research funded by HSE Health and Wellbeing, examines the risk and protective factors for mental health and wellbeing of children and young people. Using data from the Growing Up in Ireland ’08 Cohort at 9 years of age and the ’98 Cohort at 17 years of age, the research examined both positive (life satisfaction) and negative (socio-emotional difficulties) aspects of mental health and wellbeing. Socio-emotional difficulties refer to difficulties of an emotional nature (e.g., feeling unhappy, downhearted or tearful) or with peers (e.g., picked on or bullied).
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Reynolds, K. R., A. Cline, J. White, D. Jezior, and M. Gaul. Injury and Illness Incidence and Risk Factors in Female Enlisted Basic Trainees and Female Officer Basic Trainees. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada339391.

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Lombard, David. Gender Role Stress, Mental Health Risk Factors and Mental Health Sequela in Deployed Versus Non-Deployed and Pilot-Rated Versus Non-Rated Active Duty Women Versus Men. Fort Belvoir, VA: Defense Technical Information Center, December 1996. http://dx.doi.org/10.21236/ada328804.

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Library, Spring. Schizophrenia & the Mental Fog. Spring Library, December 2020. http://dx.doi.org/10.47496/sl.blog.18.

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Polusny, Melissa A., Christopher Erbes, Paul Arbisi, and Madhavi K. Reddy. Longitudinal Risk and Resilience Factors Predicting Psychiatric Disruption, Mental Health Service Utilization & Military Retention in OIF National Guard Troops. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada484446.

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Polusny, Melissa A. Longitudinal Risk and Resilience Factors Predicting Psychiatric Disruption, Mental Health Service Utilization & Military Retention in OIF National Guard Troops. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada529471.

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Calabrese, Joseph R., Marijo Tamburrino, and Sandro Galea. Ohio Army National Guard Mental Health Initiative: Risk and Resilience Factors for Combat-Related Posttraumatic Psychopathology and Post Combat Adjustment. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada585962.

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Calabrese, Joseph R., Marijo Tamburrino, and Sandro Galea. Ohio Army National Guard Mental Health Initiative: Risk and Resilience Factors for Combat-Related Posttraumatic Psychopathology and Post Combat Adjustment. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada585964.

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