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Artykuły w czasopismach na temat "Health and illness"

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F*, Lorin. "Health, Illness, Yoga". Journal of Natural & Ayurvedic Medicine 3, nr 3 (15.07.2019): 1–2. http://dx.doi.org/10.23880/jonam-16000193.

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T. Krishnamacharya’s teachings on yoga have spread throughout the world through four of his students: BKS IYENGAR, PATTABHI JOY, TKV, DESIKACHAR, T. SHRIBASHYAM, and the latest two being his sons. I had the privilege to meet TKV Desikachar in 1965 in Gstaad, Switzerland when he was the guest of Jiddu Krishnamurti to whom he was then giving âsana-s and prânâyâma s courses. When I started taking classes with him in 1966, in Chennai, I was surprised and fullfilled when I understood it was 121 courses. Furthermore, during the rather lengthy span of years I returned to study with him, from 1966 to the end of the eighties, I could appreciate the evolution, adaptation and deepening of their teachings, his' and his father's. The first years, the stress was put on learning âsana-s and prânâyâma-s as adaptables tools for health and well-being, together with the in depth study of Patanjali's masterly yoga reference book : yoga sugar. In the course of time, I understood how to apply the numerous means which yoga offers: âsana-s, prânâyâma-s, bandha-s, mudra-s, dharana-s, dhyana, etc. not only as ways to realize the inner self, Consciousness, but also how to help people with physical disabilities or mental illnesses. Moreover it unable me to show a holistic, a deep, a joyous approach to living, helping them to free themselves from fear, addictions, stress and the like.
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Webster, Ian W. "Health and illness". Medical Journal of Australia 150, nr 11 (czerwiec 1989): 662. http://dx.doi.org/10.5694/j.1326-5377.1989.tb136737.x.

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Moch, Susan Diemert. "Health within illness". Advances in Nursing Science 11, nr 4 (lipiec 1989): 23–31. http://dx.doi.org/10.1097/00012272-198907000-00006.

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Mahboub, Samira M., Rahaf A. Aleyadhi, Reema I. Aldrees i Shahad S. Almuhanna. "Knowledge and attitude towards mental illness among health and non-health university students in Riyadh". International Journal of Research in Medical Sciences 8, nr 10 (24.09.2020): 3497. http://dx.doi.org/10.18203/2320-6012.ijrms20204223.

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Background: Mental illness can affect anyone regardless of age, gender, and residence. Studying the attitude and knowledge about mental illnesses among university students is important, because they are the future decision makers dealing with such problems. The aim of this study was to assess level of knowledge and attitude towards mental illnesses among health and non-health university students in Riyadh.Methods: This study was a cross-sectional study on students of the governmental universities in Riyadh with both health and non-health speciality. The total sample size was 587 students. The questionnaire was designed electronically, and the link was distributed through social media. It included socio-demographic questions, 17 questions to assess knowledge and 22 questions to assess the attitudes. The statistical tests used were chi square, independent sample t-test, spearman’s correlation and multiple linear regression tests.Results: More than half of the participants had a positive attitude toward mental illness (52%). Only 13.46% of university students had good knowledge about mental illness. Significant higher level of good knowledge and positive attitude were reported among health college students compared to non-health (24.7% versus 7.9% for good knowledge and 60.8% versus 48.3 for positive attitude respectively). Attitude towards mental illness can be successfully predicted by using the knowledge score about mental illness and the type of college.Conclusion: Low percentage of university students had good knowledge about mental illness and their attitude towards mental illness was generally positive. Health college students had better attitude and knowledge about mental illness than non-health.
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YOUSAF, ANNA, BRENDALEE VIVEIROS i GENEVIEVE CARON. "Rhode Island Department of Health Foodborne Illness Complaint System: A Descriptive and Performance Analysis". Journal of Food Protection 82, nr 9 (20.08.2019): 1568–74. http://dx.doi.org/10.4315/0362-028x.jfp-19-135.

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ABSTRACT Foodborne illnesses create a large impact on both the health and economy of the United States. Early detection of an outbreak is essential to preventing additional illnesses. Foodborne illnesses are commonly identified through foodborne illness complaint systems, and it is vital that public health agencies ensure their systems are functioning effectively for successful detection of foodborne outbreaks. The purpose of this study was to provide a descriptive summary of foodborne illness complaint data in Rhode Island and to evaluate the Rhode Island Department of Health (RIDOH) foodborne illness complaint system's ability to detect foodborne outbreaks using the Council to Improve Foodborne Outbreak Response (CIFOR) target performance measures. Data were collected from all foodborne illness complaints reported to RIDOH by the public from 1 January 2010 to 31 December 2017. During this period, 1,218 foodborne illness complaints in total were reported to RIDOH; 85% of complainants reported their illness within 7 days of symptom onset. Most complainants (73%) did not seek medical attention. There were 54 outbreaks, 80% of which were identified by the complaint system. Most pathogens that were identified during an outbreak detected by the complaint system were nonreportable (69%). CIFOR metrics indicate that the complaint system is functioning (i) at an acceptable level of illness complaints expected based on population size and (ii) at preferable levels for metrics related to outbreak detection. This review of the RIDOH foodborne illness complaint system provides evidence for the vital role of complaint systems in detecting foodborne illness outbreaks. In addition, it demonstrates that complaint systems can detect illnesses in a timely manner, likely preventing further illnesses. This was the first multiyear evaluation of Rhode Island's illness complaint surveillance system and will serve as a baseline for future analyses to monitor trends in performance.
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Keyes, Corey L. M., i Joseph G. Grzywacz. "Complete Health: Prevalence and Predictors among U.S. Adults in 1995". American Journal of Health Promotion 17, nr 2 (listopad 2002): 122–31. http://dx.doi.org/10.4278/0890-1171-17.2.122.

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Purpose. To operationalize, estimate the prevalence, and ascertain the epidemiology of complete health. Design. Cross-sectional analyses of self-reported survey data collected via a telephone interview and a self-administered questionnaire. Setting. Households in the 48 contiguous states in the United States in 1995. Subjects. Random-digit dialing sample of 3032 adults between the ages of 25 and 74, with a response rate of 61%. Measures. Physical illness and health were measured with a total of 37 items—a checklist of 29 chronic health conditions, a six-item scale of limitations of daily living, and a single item for perceived current health and for perceived 5-year change in energy. Mental illness and health were measured with the Composite International Diagnostic Interview Short Form diagnostic scale of major depression, panic, and generalized anxiety disorders and three established multi-item scales of subjective well-being (emotional, psychological, and social well-being). Completely healthy adults have high levels of physical and mental health and low levels of physical and mental illnesses; completely unhealthy adults have high levels of physical and mental illnesses and low levels of physical and mental health. Incompletely healthy adults consisted of two groups: one group is physically healthy (high physical health and low physical illness) and mentally unhealthy, and the second group is mentally healthy (high mental health and low mental illness) and physically unhealthy. Results. Nineteen percent of adults were completely healthy, 18.8% were completely unhealthy, and 62.2% had a version of incomplete health. Compared with completely unhealthy adults, completely healthy adults are likely to be young (25–34 years of age) or old (55–64 and 65–74 years), are married, are male, are college educated, and have higher household incomes. Conclusions. Operationalizing complete health highlights objectives for increasing the prevalence of complete health, and reducing the prevalence of complete ill-health and incomplete health.
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Bluhm, Robyn. "Vulnerability, health, and illness". IJFAB: International Journal of Feminist Approaches to Bioethics 5, nr 2 (wrzesień 2012): 147–61. http://dx.doi.org/10.3138/ijfab.5.2.147.

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Ernst, E. "Culture, health and illness". Focus on Alternative and Complementary Therapies 2, nr 1 (14.06.2010): 32. http://dx.doi.org/10.1111/j.2042-7166.1997.tb00583.x.

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Kilwein, J. H. "HEALTH, ILLNESS AND WILLPOWER". Journal of Clinical Pharmacy and Therapeutics 15, nr 3 (czerwiec 1990): 165–68. http://dx.doi.org/10.1111/j.1365-2710.1990.tb00372.x.

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Davies, Peter G. "Between Health and Illness". Perspectives in Biology and Medicine 50, nr 3 (2007): 444–52. http://dx.doi.org/10.1353/pbm.2007.0026.

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Rozprawy doktorskie na temat "Health and illness"

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Baker, Katie, Kelly A. Dorgan, Rebecca Adkins Fletcher, Sadie P. Hutson i Amber E. Kinser. "Health, Wellness, and Illness in Appalachia". Digital Commons @ East Tennessee State University, 2017. https://youtu.be/7VQko-nRbOE.

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This NCA Public Program addressed health, health care, and understandings about health in the Appalachian region, an area where residents face a disproportionately high incidence of poor health and unique barriers to health. The program took place in the East Tennessee Room of the D.P. Culp Center on the campus of East Tennessee State University. The moderated panel included scholars in Communication, Community Health, Nursing, and Appalachian Studies, as well as community practitioners.
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O'Brien, Rosaleen. "Men's health and illness : the relationship between masculinities and health". Thesis, University of Glasgow, 2006. http://theses.gla.ac.uk/2817/.

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This thesis presents men’s discussions and experiences of health and illness and its relation to, and implications for, the practices of masculinity amongst a diversity of men. Fifty five men participated in fourteen semi-structured focus group interviews. Diversity in men’s experiences of health and illness and in their constructions of masculinity was sought within the sample by age (range 15-72 years), occupational status, socio-economic background and current health status. Groups of men were recruited who had had ‘everyday’ or unremarkable experiences of masculinity and health and groups of men with health experiences that could have prompted reflection on masculinity and health. This included groups with men who had prostate cancer, coronary heart disease, mental health problems, and Myalgic Encephalomyelitis (ME). All of the men that participated in the study lived in central Scotland (Glasgow, Edinburgh, Dundee, Lanarkshire and Perthshire) and just one group was conducted with men of Asian origin, which reflects the limited ethnic diversity in this part of Britain. The first data chapter examines participants’ descriptions of their masculinity and their health-related beliefs and behaviours. The data capture both the experiences of men who felt pressured to engage in behaviours that may be harmful to their health in order to appear masculine and the accounts of those who regarded themselves as freer to embrace salutogenic health practices as they perceived there to be fewer consequences for their masculinities. These considerations are then followed by an examination of how participants re-negotiated male identity in the light of illness. The final data chapter presents participants’ discussions and experiences of help seeking and its relation to the practice of masculinity. The data suggests a widespread endorsement of a ‘hegemonic’ view that men ‘should’ be reluctant to seek help, particularly amongst younger men.
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Baines, Tineke. "An exploration of illness perceptions in mental health utilising the illness perceptions questionnaire". Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/an-exploration-of-illness-perceptions-in-mental-health-utilising-the-illness-perceptions-questionnaire(ac657de4-f3d0-444f-8a62-3ee062115a3f).html.

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This research project explored how mothers experiencing depression after childbirth perceived their mental illness. Illness perceptions were assessed across the dimensions outlined within the Self-Regulatory Model (SRM, Leventhal, Nerenz & Steele, 1984) via the use of the Revised Illness Perceptions Questionnaire (IPQ-R, Moss-Morris, Weinman, Petrie, Horne, Cameron & Buick, 2002). The psychometric properties of the IPQ-R within this clinical sample and relationships between illness perceptions, depression severity and maternal bonding were assessed. A literature review of the use of the IPQ and IPQ-R within mental health identified that these measures with modifications (in particular to the causal and identity subscales) were largely reliable and valid measures of assessing illness perceptions in mental health. The illness dimensions outlined within the SRM were largely endorsed within the clinical populations sampled, offering support of the applicability of the SRM within mental health. Mental illnesses were consistently viewed as chronic with serious negative consequences. Perceptions regarding mental illness consequences, chronicity and controllability were associated with coping strategies and help-seeking. Treatment adherence and attitudes towards taking medication were associated with illness controllability beliefs. The IPQ-R modified for depression after childbirth was shown to be a reliable measure for assessing illness perceptions within this clinical sample and was shown to be reliable over a four-week time period.Mothers experiencing depression after childbirth perceived their depression as having a moderate number of symptoms, a high number of negative consequences and responded to their depression with a number of emotions. Mothers perceived having a coherent understanding of their difficulties, believing that depression was amenable to treatment and personal control and that depression was cyclical in nature. Commonly reported symptoms experienced attributed to depression included depressed mood, difficulties concentrating, loss of interest/pleasure in activities, fatigue/loss of energy and sleep difficulties. Frequently endorsed causes of depression included stress or worry, hormonal changes, own emotional state, family problems, mental attitude and own behaviour. Interestingly, no significant difference was found between illness perceptions of mothers who previously experienced psychological problems and mothers who had not.Mothers who perceived having many symptoms and a high emotional response to depression were more likely to report higher depression severity. Whereas mothers who believed they had control over their depression were more likely to report lower depression severity. Illness identity and consequence beliefs were associated with maternal bonding difficulties. The project's findings were presented with reference to previous literature with implications for theory and clinical practice explored. Difficulties and limitations of the research and its related theory were discussed in addition to reflections upon the research project. Possible improvements to the research procedure and areas for future research were also identified.
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Strasser, Meagan. "Health, Illness, and Aging in Carceral Spaces". Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/37061.

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In Canada, the number of adults over the age of 50 incarcerated in federal penitentiaries has doubled over the past ten years, now comprising nearly 25 percent of the federal prison population (Martin, 2017). As this population continues to grow, so too will the demands placed on prison health services. To address this issue, researchers, policymakers, and practitioners suggest creating more accessible bedspace within existing institutions, cordoning off age-segregated prison units, building specialized geriatric prisons, and/or increasing the use of compassionate release. These solutions implicate institutional and community-based corrections, which produce ‘carceral’ and ‘transcarceral’ spaces respectively. These spaces are characterized by the application of social control within, across, and outside of custodial settings, which can have enormous implications for accessing health and healthcare. This research project explores how the health of incarcerated and formerly incarcerated older adults unfolds in the spaces to which they are confined. Semi-structured interviews were conducted with staff (n=4) and older residents (n=5) at halfway houses in Ottawa, Ontario. Drawing upon French Marxist philosopher Henri Lefebvre’s theorization of space, including three ‘moments’ of spatial production, and complementary criminological literature on carceral space, a thematic analysis of interview data revealed several important findings. Ultimately, the present study highlights tensions with respect to how the aging body is negotiated in carceral space, how the everyday practices that shape the lives of incarcerated and formerly incarcerated older adults contribute to the production of space, and what this reveals about the nature of these spaces.
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Litva, Andrea. "Placing lay perceptions of health and illness". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ30154.pdf.

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Brady, Ann Marie Brigid. "Chronic illness in childhood and adolescence : a longitudinal exploration of co-occurring mental illness". Thesis, Queen Mary, University of London, 2017. http://qmro.qmul.ac.uk/xmlui/handle/123456789/31703.

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Chronic health problems are hypothesised to be a risk factor to child and adolescent mental health, due the consistent and continuing stress these health problems pose to normative patterns of development. However, this theory remains to be substantiated by empirical research. Moreover, a systematic review conducted as part of this research indicated that the empirical body is not one on which the validity of this theory can be adequately tested. The major question posed is whether the lack of high quality epidemiological data in the field is obscuring a true psychiatric risk associated with chronic illness in childhood and adolescence, or whether, in contrast, the theory of chronic health problems as a particular risk factor to child and adolescent mental health, is based on false premises. In order to provide a stronger insight into the association of chronic health problems to mental ill-health across the late childhood and adolescent period, this study used data from a large, representative British sample (the Avon Longitudinal Study of Parents and Children (ALSPAC)) and sensitive measures of mental health outcomes. Mediating factors in these associations were also identified, and a model of the association of chronic health problems to poor mental health outcomes in early adolescence was developed. In order to ensure that all findings were applicable across chronic health conditions, outcomes over this period for children with chronic illness more generally were compared to outcomes for children with asthma diagnoses. Children with chronic health problems presented with a disproportionate rate of psychiatric illness at 10 years, and these chronic health problems continued to be associated with poor mental health outcomes across the early to mid-adolescent period. The outcomes at 10 and 13 years were suggested to be mediated by factors non-specific to any diagnosis, specifically peer victimisation and health-related school absenteeism. Limitations to external validity in the research, and implications for public health and future research are discussed.
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Hipwell, Michele. "Models of health enhancing and illness provoking factors in mental health". Thesis, Queen Margaret University, 2005. https://eresearch.qmu.ac.uk/handle/20.500.12289/7351.

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The aim of this study is to increase understanding about the causes of dysphoria, depression and anxiety by identifying the psychological factors that predict the development or protect the individual from developing mental health problems. A quantitative study, it is conducted over a period of a year and utilises a 3 wave observational longitudinal cohort design to investigate the relationship between the psychological variables and processes leading to mental health or ill health in a community group of female undergraduate students (N=183). Data is collected at 6 montly intervals for a period of a year from 183 female students. The participants are first year undergraduate students at a college of higher education. Characteristics from the students are collected using a battery of paper and pencil self report questionnaires in a group administration for the first wave of data and two postal questionnaires for follow up. Conceptual models are developed and tested statistically using structural equation modelling to explore the relationship between the elements identified for each model retrospectively and prospectively over a period of 12 months. Longitudinal and cross-sectional analyses are conducted for anxiety and depression separately. The elements of the models include positive and negative life events and protective and vulnerability factors for depression and dysphoria. Results from the cross-sectional and logitudinal analysis demonstrate that psychological factors have a significant effect on the development of depression and anxiety, with illness provoking factors explaining between 33-55% of the variance of depression in longitudinal analyses and 59-42% of the variance in cross-sectional analyses. They explain 45-57% of the variance in anxiety in longitudinal analyses and 28-50% in cross-sectional analyses. Health enhancing factors explain 18-19% of the variance in deprssion in longitudinal analyses and 47-49% of the variance in cross-sectional analyses. They explain 15-20% of the variance in anxiety in longitudinal analyses and 12-=20% of the variance in cross-sectional analyses. Health enhancing and illness provoking characteristics for depression and anxiety are identified in this study. They include enduring personality characteristics, cognitive styles and coping strategies and act as predictors for mental health outcomes or mediate or moderate the relationship between predictors and mental health outcomes.
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Bridge, Laurie. "Contributing Factors of Substance Abuse: Mental Illness, Mental Illness Treatment andHealth Insurance". Youngstown State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1516979553258238.

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Khanum, Sultana Mustafa. "'We just buy illness in exchange for hunger' : experiences of health care, heath and illness among Bangladeshi women in Britain". Thesis, Keele University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386604.

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Alemagno, Sonia Annette. "Health and illness behavior of Type A individuals". Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1054562478.

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Książki na temat "Health and illness"

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Senior, Michael, i Bruce Viveash. Health and Illness. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14087-9.

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Taylor, Steve. Health and illness. (York): Longman, 1986.

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Communicating health and illness. London: SAGE, 2002.

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Helman, Cecil. Culture, health, and illness. Wyd. 4. London: Arnold, 2001.

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L, Taylor Diana, Woods Nancy Fugate i Society for Menstrual Cycle Research., red. Menstruation, health, and illness. New York: Hemisphere Pub. Corp., 1991.

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Freshwater, Dawn. Mental Health and Illness. New York: John Wiley & Sons, Ltd., 2006.

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Mental health & mental illness. Wyd. 6. Philadelphia: Lippincott-Raven, 1998.

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Culture, health, and illness. Wyd. 5. London: Hodder Arnold, 2007.

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1936-, Bolaria B. Singh, i Dickinson Harley D. 1951-, red. Health, illness, and health care in Canada. Wyd. 2. Toronto: Harcourt Brace & Co., Canada, 1994.

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1936-, Bolaria B. Singh, i Dickinson Harley D. 1951-, red. Health, illness, and health care in Canada. Wyd. 3. Scarborough, Ont: Nelson Thomson Learning, 2002.

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Części książek na temat "Health and illness"

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Feuerstein, Michael, Elise E. Labbé i Andrzej R. Kuczmierczyk. "Illness Behavior". W Health Psychology, 279–314. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-0562-8_9.

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Baggott, Rob. "Health and Illness". W Health and Health Care in Britain, 1–28. London: Macmillan Education UK, 2004. http://dx.doi.org/10.1007/978-1-137-11638-3_1.

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Baggott, Rob. "Health and Illness". W Health and Health Care in Britain, 1–25. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14492-1_1.

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Porterfield, Deborah S. "Population Health". W Chronic Illness Care, 517–26. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71812-5_42.

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Prentice, Amy N., Rayhaan Adams, Deborah S. Porterfield i Timothy P. Daaleman. "Population Health". W Chronic Illness Care, 459–67. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29171-5_35.

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Kane, Penny. "Women and Illness". W Women’s Health, 54–86. London: Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1007/978-1-349-21214-9_3.

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Gallagher, Eugene B. "Chronic Illness Management". W Health Behavior, 397–407. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-0833-9_22.

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Feuerstein, Michael, Elise E. Labbé i Andrzej R. Kuczmierczyk. "Stress and Illness". W Health Psychology, 143–83. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-0562-8_6.

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Victor, Christina R. "Health and illness". W Old Age in Modern Society, 191–214. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-3075-0_11.

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Kremer, John, Noel Sheeny, Jacqueline Reilly, Karen Trew i Orla Muldoon. "Health and Illness". W Applying Social Psychology, 61–80. London: Macmillan Education UK, 2003. http://dx.doi.org/10.1007/978-0-230-62839-7_4.

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Streszczenia konferencji na temat "Health and illness"

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"DIGITAL HEALTH AND ILLNESS: BALANCING IT". W 19th International Conference on WWW/Internet. IADIS Press, 2020. http://dx.doi.org/10.33965/icwi2020_202012r023.

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Kumar, Surya. "Occupational Illness: Challenges Faced". W SPE Asia Pacific Health, Safety, and Security Environment Conference and Exhibition. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/108573-ms.

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Kwag, Youn-Kyoung. "Health of Disabled Family with Mental Illness". W Interdisciplinary Research Theory and Technology 2016. Science & Engineering Research Support soCiety, 2016. http://dx.doi.org/10.14257/astl.2016.122.23.

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Jage, Saloni, Shubham Chaudhari, Manthan Jatte, Abhishek Mhatre i Vanita Mane. "Predicting Mental Health Illness using Machine Learning". W 2023 3rd Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2023. http://dx.doi.org/10.1109/asiancon58793.2023.10270445.

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Dixit, Shikha. "Mental health and illness: Collective and situated meanings". W Annual International Conference on Cognitive and Behavioral Psychology. Global Science and Technology Forum (GSTF), 2012. http://dx.doi.org/10.5176/2251-1865_cbp31.

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Liu, Leslie S., Jina Huh, Tina Neogi, Kori Inkpen i Wanda Pratt. "Health vlogger-viewer interaction in chronic illness management". W CHI '13: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2470654.2470663.

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Reddy, Anisha. "“I’m Fine” – A Short Film on Mental Illness Stigma". W International Conference on Public Health. The International Institute of Knowledge Management - TIIKM, 2019. http://dx.doi.org/10.17501/24246735.2018.4201.

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"A LOW COST ERGONOMIC EEG SENSOR FOR PREDICTING MENTAL ILLNESS". W International Conference on Health Informatics. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003732901640173.

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Martin, Jennifer, Elspeth McKay i Janki Shankar. "Bias Misinformation and Disinformation: Mental Health Employment and Human Computer Interaction". W InSITE 2006: Informing Science + IT Education Conference. Informing Science Institute, 2006. http://dx.doi.org/10.28945/3016.

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This paper explores the design and application of information communication technologies and human computer interaction for people recovering from severe mental illness wishing to gain employment. It is argued bias, misinformation and disinformation limit opportunities for people recovering from mental illness who are seeking employment. Issues of bias are explored in relation to systems design as well as dominant socially constructed paradigms of ‘mental health’ and ‘mental illness’ and employment. Misinformation is discussed according to the contemporary dominant paradigm of ‘recovery’ as well as web resources, discrimination and employment. Disinformation is considered in terms of media myths and stereotypes and vocational rehabilitation. Multidisciplinary collaboration is required to meet the ICT needs of this diverse group.
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Крутко, А. А., i В. Н. Лысухин. "To the question of occupational illness of nurses". W The second international youth Forum "OCCUPATION AND HEALTH". PT "ARIAL", 2018. http://dx.doi.org/10.31089/978-5-907032-51-4-2018-1-148-153.

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Raporty organizacyjne na temat "Health and illness"

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Wilson, Candy. Military Women's Health and Illness Behaviors in Deployed Settings. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 2012. http://dx.doi.org/10.21236/ada618462.

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Bussarawan, Bussarawan, i James Phillips. Ethnic differentials in parental health seeking for childhood illness in Vietnam. Population Council, 2007. http://dx.doi.org/10.31899/pgy2.1050.

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Walsh, Brendan, i Karina Doorley. Occupations and Health. ESRI, czerwiec 2022. http://dx.doi.org/10.26504/bp202303.

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The relationship between health and employment status continually shows that individuals who work have lower levels of illness and higher self-reported health. This study examines how self-reported health and objective measures of health (multimorbidity and mental health problems) differ across employment status and occupations among adults of working age (25-65 years). In addition, the study examines how public health coverage – medical card and GP visit card (GPVC) – and private health coverage (PHI), and lack thereof, differ across occupations. Overall, individuals not in employment have much lower rates of self-reported health and higher rates of illness. In particular, mental health problems are three times higher among unemployed individuals across all age groups. Examining workers separately, differences in health status across occupations are small. However, rates of health coverage differ considerably across occupations. In general, occupations associated with poorer health status tend to have the highest percentages of workers without a medical card/GPVC or PHI. This affects workers’ ability to access lower cost or free healthcare, including for the purpose of certified sick leave.
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Kennedy, Michael H. Use of Severity of Illness Indexes for Assessing Health Care Provider Performance. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1985. http://dx.doi.org/10.21236/ada210090.

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Krengel, Maxine, i Kimberly Sullivan. Redefining Gulf War Illness Using Longitudinal Health Data: The Fort Devens Cohort. Fort Belvoir, VA: Defense Technical Information Center, październik 2012. http://dx.doi.org/10.21236/ada567839.

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Vera-Hernandez, Marcos, i Pau Olivella. Prioritization, risk selection, and illness severity in a mixed health care system. The IFS, czerwiec 2022. http://dx.doi.org/10.1920/wp.ifs.2022.2122.

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

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Rahman, Kazi, Grace Lee, Kristina Vine, Amba-Rose Atkinson, Michael Tong i Veronica Matthews. Impacts of climate change on health and health services in northern New South Wales: an Evidence Check rapid review. The Sax Institute, grudzień 2022. http://dx.doi.org/10.57022/xlsj7564.

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This rapid review investigated the effects of climate change on health and health services in northern NSW—a known ‘hotspot’ for natural disasters—over the next 10-20 years. It included 92 peer-reviewed articles and 9 grey literature documents, with 17% focused on Northern NSW. Climate change will cause both an increase in average temperatures and in extreme weather events and natural disasters. Impacts particularly affecting Northern NSW are expected to include increases and exacerbations of: mental illness; infectious diseases, including those transmitted by mosquitoes, water and food; heat-related illnesses; chronic diseases including respiratory and cardiac conditions; injuries; and mortality—with vulnerable groups being most affected. Demand for health services will increase, but there will also be disruptions to medication supply and service availability. A whole-of-system approach will be needed to address these issues. There are numerous gaps in the research evidence and a lack of predictive modelling and robust locally relevant data.
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Brekke, John, Erin Kelly, Lei Duana, Heather Cohena, Holly Kigera i Laura Pancake. Can People Who Have Experience with Serious Mental Illness Help Peers Manage Their Health Care? Patient-Centered Outcomes Research Institute (PCORI), kwiecień 2019. http://dx.doi.org/10.25302/4.2019.ad.13046650.

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Bartlem, Kate, Caitlin Fehily, Olivia Wynne, Lauren Gibson, Simone Lodge, Tara Clinton-McHarg, Julia Dray, Jenny Bowman, Luke Wolfenden i John Wiggers. Initiatives to improve physical health for people in community-based mental health programs. The Sax Institute, sierpień 2020. http://dx.doi.org/10.57022/conj2912.

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This Evidence Check commissioned by NSW Ministry of Health aimed to evaluate delivery of physical health interventions for people living with a mental illness, delivered though community mental health programs. The review found that sufficient evidence exists to support a number of interventions, with further evaluation; and identified and describes key characteristics for effectiveness such as duration of the intervention and mode of delivery (e.g. face-to-face or telephone, group or individual). The supported interventions and/or actions included: multi-strategy lifestyle behaviour change interventions; care delivery models including peer-led self-management and staff delivered interventions; integration of new physical health care models or initiatives; referral to other services (e.g. telephone Quitline); assessing barriers and enablers prior to implementation; and the involvement of peer workers and consumers in design and delivery.
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