Relevant bibliographies by topics / Factors of depression

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Factors of depression'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Factors of depression.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Factors of depression"

1

MD, Dr Mohammed Naseem Y. "Depression in Hypothyroidism and Risk Factors." Journal of Medical Science And clinical Research 05, no. 03 (March 29, 2017): 19478–84. http://dx.doi.org/10.18535/jmscr/v5i3.182.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Tripathy, Pravati. "Postnatal Depression – The Prevalence and Determining Factors." International Journal of Scientific Research 3, no. 4 (June 1, 2012): 357–58. http://dx.doi.org/10.15373/22778179/apr2014/126.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Serra, G., M. P. Casini, V. Maggiore, R. J. Baldessarini, and S. Vicari. "Factors Associated with Depression Severity in Adolescence." European Psychiatry 41, S1 (April 2017): S224. http://dx.doi.org/10.1016/j.eurpsy.2017.01.2219.

Full text
Abstract:
IntroductionSevere depression is greatly impairing during adolescence and involves a high risk for suicidal behaviors.Objectives and aimsIdentify clinical and demographic factors associated with severity of depression in adolescents diagnosed with a major mood disorder so as to improve clinical treatment and prevent suicidal behaviors.MethodsWe analyzed factors associated with depression severity in 145 severely ill adolescents diagnosed with a major affective disorder using the K-SADS (Kiddie-Schedule for Affective Disorders and Schizophrenia) at the Mood Disorder Outpatient Program of Bambino Gesù Children's Hospital (Rome). Depressive and manic symptoms were rated with the CDRS-R (Children's Depression Rating Scale-Revised) and K-SADS-MRS (Mania Rating Scale), respectively. Bivariate comparisons were followed by multivariable linear regression modeling.ResultsDepression severity was greater among females than males (mean CDRS scores: 53.0 vs. 42.8; P < 0.0001) and with major depressive versus bipolar disorder diagnosis (50.4 vs. 45.4; P = 0.001). Manic symptoms, including irritability, mood lability, crowded thoughts, delusions, and insomnia, were more likely with more severe depression; their number and severity correlated with CDRS-R total score (respectively, β = 1.53 and 5.44;both P < 0.0001). Factors independently and significantly associated with CDRS-R depression score in multivariate modeling were:– presence of suicidal ideation;– absence of ADHD;– female sex;– greater number of manic symptoms.ConclusionsSevere depression was associated with manic symptoms and with suicidal ideation among adolescents diagnosed with either bipolar or major depressive disorders. This relationship should be considered in treatment planning and suicide prevention, including consideration of mood-stabilizing and antimanic agents in the treatment of severe adolescent depression.Disclosure of interestThe authors have not supplied their declaration of competing interest.
APA, Harvard, Vancouver, ISO, and other styles
4

Heun, Reinhard, and Sandra Hein. "Risk factors of major depression in the elderly." European Psychiatry 20, no. 3 (May 2005): 199–204. http://dx.doi.org/10.1016/j.eurpsy.2004.09.036.

Full text
Abstract:
AbstractBackgroundSeveral risk factors of depression have been identified in retrospective as well as some prospective studies in the elderly. Confirmation in independent samples is needed. The present follow-up study prospectively investigated risk factors of depression in an elderly German sample.MethodsOne thousand four hundred and thirty-one subjects from a family study were re-investigated after 4.7 ± 2.5 years. Bivariate and multivariate forward logistic regression analyses were used to identify risk factors of the development of new depression in the elderly.ResultsRisk factors of a new depressive episode in 1408 elderly without current depression were age, female gender, a previous depression, subjective memory impairment, previous anxiety and somatoform disorders. The presence of dementia or mild cognitive impairment were significant risk factors in bivariate, but not multivariate analysis controlling for possible confounding. Risk factors of a first geriatric depressive episode were age, gender and subjective memory impairment; age remained the only significant risk factor in multivariate analysis.ConclusionsThis investigation confirms previous studies from other countries concerning the relevance of risk factors for depression in the elderly. The knowledge of risk factors might help identify subjects at increased risk of depression for early intervention approaches. Elderly with a history of previous depression carry the highest risk.
APA, Harvard, Vancouver, ISO, and other styles
5

Yang, Yuanhao, Huiying Zhao, Andrew C. Heath, Pamela A. F. Madden, Nicholas G. Martin, and Dale R. Nyholt. "Shared Genetic Factors Underlie Migraine and Depression." Twin Research and Human Genetics 19, no. 4 (June 15, 2016): 341–50. http://dx.doi.org/10.1017/thg.2016.46.

Full text
Abstract:
Migraine frequently co-occurs with depression. Using a large sample of Australian twin pairs, we aimed to characterize the extent to which shared genetic factors underlie these two disorders. Migraine was classified using three diagnostic measures, including self-reported migraine, the ID migraine™ screening tool, or migraine without aura (MO) and migraine with aura (MA) based on International Headache Society (IHS) diagnostic criteria. Major depressive disorder (MDD) and minor depressive disorder (MiDD) were classified using the Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria. Univariate and bivariate twin models, with and without sex-limitation, were constructed to estimate the univariate and bivariate variance components and genetic correlation for migraine and depression. The univariate heritability of broad migraine (self-reported, ID migraine, or IHS MO/MA) and broad depression (MiDD or MDD) was estimated at 56% (95% confidence interval [CI]: 53–60%) and 42% (95% CI: 37–46%), respectively. A significant additive genetic correlation (rG = 0.36, 95% CI: 0.29–0.43) and bivariate heritability (h2 = 5.5%, 95% CI: 3.6–7.8%) was observed between broad migraine and depression using the bivariate Cholesky model. Notably, both the bivariate h2 (13.3%, 95% CI: 7.0–24.5%) and rG (0.51, 95% CI: 0.37–0.69) estimates significantly increased when analyzing the more narrow clinically accepted diagnoses of IHS MO/MA and MDD. Our results indicate that for both broad and narrow definitions, the observed comorbidity between migraine and depression can be explained almost entirely by shared underlying genetically determined disease mechanisms.
APA, Harvard, Vancouver, ISO, and other styles
6

Jain, Ravikant, Rahul Rishi, Balkishan Sharma, and Vivek Kiyawat. "Role of depression and its associating factors in indoor orthopaedic patients." Asian Journal of Medical Sciences 6, no. 6 (June 16, 2015): 70–76. http://dx.doi.org/10.3126/ajms.v6i6.12478.

Full text
Abstract:
Background and Objectives: Depression has acknowledged and well documented, is common among orthopaedic inpatients may be associated with functional outcomes. Authors aimed to investigate the role, prevalence and associating factors of depression disorder in orthopaedic inpatients. Materials and Methods: A cross-sectional study is designed among patients that admitted at SAIMS, Indore. Four hundred twenty six orthopedic patients were recruited for study. The demographic and clinical measurements were recorded. Levels of depression were assessed by using Zung’s depression scale. Results: Depressive disorder was identified in 87.6% indoor patients significantly (p<0.001) influenced female more than male. The mean depression score in female (67.37±11.75) was significantly higher than male (62.29±12.20). The prevalence of extreme/major depression in female (46.6%) was higher as compared to male (25.7%). Type of trauma was found significantly (p<0.05) associated with depressive disorder. 38.1% male with traumatic condition and 20.0% with non-traumatic condition had moderate depression in comparison to 31.4% and 13.6% female. Depressive disorder was found significantly associated with sex (p<0.001), socio-economic status (p<0.001), length of ortho-illness (p<0.001), length of stay in hospital (p<0.001), exercise/yoga (p<0.05) and type of injury (p<0.05). Conclusions: Higher incidence of depressive disorder recorded in female. Prevention and treatment require more clinical and research attention to reduce the public health burden of depression. The study suggested that higher depressive disorder does occur in indoor orthopaedic patients that associated with various functional outcomes. This study supports the view of depressive disorder was disabling factor in better functional recovery and frequent in female after orthopedic trauma. DOI: http://dx.doi.org/10.3126/ajms.v6i6.12478 Asian Journal of Medical Sciences Vol.6(6) 2015 70-76
APA, Harvard, Vancouver, ISO, and other styles
7

Lorant, Vincent, Christophe Croux, Scott Weich, Denise Deliège, Johan Mackenbach, and Marc Ansseau. "Depression and socio-economic risk factors: 7-year longitudinal population study." British Journal of Psychiatry 190, no. 4 (April 2007): 293–98. http://dx.doi.org/10.1192/bjp.bp.105.020040.

Full text
Abstract:
BackgroundLow socio-economic status is associated with a higher prevalence of depression, but it is not yet known whether change in socio-economic status leads to a change in rates of depression.AimsTo assess whether longitudinal change in socio-economic factors affects change of depression level.MethodIn a prospective cohort study using the annual Belgian Household Panel Survey (1992–1999), depression was assessed using the Global Depression Scale. Socio-economic factors were assessed with regard to material standard of living, education, employment status and social relationships.ResultsA lowering in material standard of living between annual waves was associated with increases in depressive symptoms and caseness of major depression. Life circumstances also influenced depression. Ceasing to cohabit with a partner increased depressive symptoms and caseness, and improvement in circumstances reduced them; the negative effects were stronger than the positive ones.ConclusionsThe study showed a clear relationship between worsening socio-economic circumstances and depression.
APA, Harvard, Vancouver, ISO, and other styles
8

Mocan, Andreia S., Silvia S. Iancu, Livia Duma, Camelia Mureseanu, and Adriana S. Baban. "Depression in Romanian patients with type 2 diabetes: prevalence and risk factors." Medicine and Pharmacy Reports 89, no. 3 (July 31, 2016): 371–77. http://dx.doi.org/10.15386/cjmed-641.

Full text
Abstract:
Background and aims. Co-existing major depression was found to have a negative impact on the diabetes outcome and the quality of life. The aim of the present study was to assess the prevalence of depressive symptoms in Romanian diabetes patients and to identify the risk factors associated with depression.Methods. A total of 144 type 2 diabetes patients were included in the study. Five models of presumed predictors were used to assess the risk factors for depressive symptoms, using hierarchical regression analysis. Together with demographics, disease, lifestyle predictors, previous depressive symptoms and diabetes distress were taken into account.Results. In our sample the prevalence of depression was 12.6%. Main risk factors for depressive symptoms were previous depressive symptoms which were associated with depression in both Model 4 (β=0.297, p=0.013) and Model 5 (β=0.239, p=0.017) and diabetes distress in Model 5 (β=0.540, p≤0.001). Employment (β =-0.276, p=0.029) and increased number of diabetes complications (β=0.236, p=0.017) became significant when diabetes distress was added to the analysis.Conclusions. The overall prevalence of depressive symptoms was found to be in range with the prevalence identified in the literature. Previous depression and diabetes distress were both independently associated with depression, confirming the bidirectional relationship between depression and diabetes distress. Due to the consequences for daily living, screening for diabetes distress and depression should be done in primary care units both by physicians and trained nurses.
APA, Harvard, Vancouver, ISO, and other styles
9

Gadde, Kishore M., and K. Ranga R. Krishnan. "Endocrine Factors in Depression." Psychiatric Annals 24, no. 10 (October 1, 1994): 521–24. http://dx.doi.org/10.3928/0048-5713-19941001-09.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hollon, Steven D. "Biological Factors in Depression." Contemporary Psychology: A Journal of Reviews 30, no. 3 (March 1985): 202–3. http://dx.doi.org/10.1037/023631.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Factors of depression"

1

Payne, Martha Elizabeth Haines Pamela S. "Nutritional factors of vascular depression." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,312.

Full text
Abstract:
Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.
Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Nutrition." Discipline: Nutrition; Department/School: Public Health.
APA, Harvard, Vancouver, ISO, and other styles
2

Scannell, Claire. "Psychosocial factors in postpartum depression." Thesis, University of Canterbury. Psychology, 1995. http://hdl.handle.net/10092/6552.

Full text
Abstract:
This study examined 214 New Zealand women, both during pregnancy and in the postpartum, in order to determine the influence of infant-related stressors, unplanned pregnancy, social support and the role of the marital relationship in the development of postpartum depression. The relationship of demographic factors, the woman's feelings about having a new baby in the family and previous history of depression were also analyzed. The prevalence of depressive symptomatology was 30.8% during pregnancy and 39.7% in the postpartum. Postpartum depression was predicted by depression during pregnancy, by poorer postpartum marital adjustment and by lower levels of postpartum social support. The strongest predictor of the change in depression scores over time was depression during pregnancy. The important role of depression during pregnancy in the etiology of postpartum depression, suggests that postpartum depression is a continuation of depression during pregnancy. Women who were more depressed during pregnancy tended to be younger, of lower socio-economic status, and to have a reported history of depressive episodes prior to their pregnancies. Higher levels of prepartum depression were also related to women's feelings of being unhappier about having a new baby in the family, to poorer marital adjustment, and to lower levels of social support during pregnancy. Depression during pregnancy was found to be more likely to have a negative effect on marital adjustment than poor marital adjustment on depression. Similarly, depression during pregnancy was found to be more likely to have a negative effect on social support, than vice versa. However, further regression analyses, showed that postpartum marital adjustment and postpartum social support had a strong relation to postpartum depression, irrespective of the levels of prepartum marital adjustment, prepartum social support, and prepartum depression. Contrary to predictions, neither infant temperament, nor infant risk were related to postpartum depression.
APA, Harvard, Vancouver, ISO, and other styles
3

Gerstein, Stephanie Hannah. "Examining the Children's Depression Inventory factors' ability to predict outcomes of depression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0020/MQ43876.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Holttum, Susan. "Depression : cognitive, social, environmental and emotional factors." Thesis, University of St Andrews, 1991. http://hdl.handle.net/10023/2654.

Full text
Abstract:
This work examined four issues, in relation to both the experience of depression, and vulnerability to depression. There were four empirical studies, each with two parts. The first study examined the role of cognitions, such as overgeneralizations (Beck, 1963; Beck et al, 1979), and causal attributions (Abramson et al, 1978; Alloy et al, 1988). Their role as symptoms of depression, and as possible vulnerability factors, independent of current mood, was examined. In the first part of the study, clinically depressed patients, recovered subjects, and community control subjects were interviewed and given questionnaires. In the second part of the study a larger sample of students, some of whom became mildly depressed on beginning university filled in questionnaires at the start of term and again five weeks later. The same subject groups were the basis for the study on social factors, and the study on life events. The fourth study was also in two parts. A different sample of students were the subjects for the first part, and the same clinical and control groups participated in the second part. Factors found to be associated with the state of depression were: Internal, stable and global attributions for the causes of bad events, negative view of future outcomes, and negative view of self; social skill deficits and lack of social support; recent difficult life events. One factor failed to show any strong association with the depressed state – unrealistic goals. Factors associated with vulnerability to depression: Negative evaluations of future outcomes, and of self, unrealistic goals and, surprisingly, lower-than-normal goals; deficits in social skill (especially low self-confidence in social settings) and lack of social support; history-of difficult life events. Factors which failed to show association with vulnerability to depression: Causal-attributions for events; adverse reaction to depression itself. Deficits in social skill were associated with lack of social support. Depression proneness itself appeared to be a risk factor for negative life events.
APA, Harvard, Vancouver, ISO, and other styles
5

Haynes, Patricia L. "Circadian impact of psychosocial factors in depression /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2003. http://wwwlib.umi.com/cr/ucsd/fullcit?p3094609.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hibbard, Kate Clara. "Relationship Between Attachment and Depression: Mediating Factors." University of Dayton / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1317929391.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Crossett, Sarah E. "Interpersonal and cognitive risk factors for postpartum depression." Diss., Online access via UMI:, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Tweedy, Maureen P. "Metabolic Syndrome and Psychosocial Factors." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc11005/.

Full text
Abstract:
Metabolic syndrome is a constellation of risk factors, including abdominal obesity, hypertriglyceridemia, low HDL cholesterol, high blood pressure, and high fasting glucose, that commonly cluster together and can result in cardiovascular disease. The prevalence of metabolic syndrome and the components that comprise the syndrome vary by age and by racial/ethnic group. In addition, previous research has indicated that the risk factors contributing to metabolic syndrome may be exacerbated by exposure to perceived stress. This study utilized data from the 2002, 2004, and 2006 Health and Retirement Study (HRS) and National Health and Nutrition Examination Survey (NHANES) data sets. It was hypothesized that depression and anxiety (conceptualized as stress in this study) increase the risk of presenting with metabolic syndrome while social support decreases the risk of metabolic syndrome. While results of cross-sectional analysis do not indicate a significant relationship between depression and metabolic syndrome (t = -.84, ns), longitudinal analysis does indicate a significant relationship between depression and metabolic syndrome over time (t = -5.20, p <.001). However, anxiety is not significantly related to metabolic syndrome when the relationship is examined through cross-sectional analysis (t = -1.51, ns) and longitudinal analysis (χ² = 13.83, ns). Similarly, social support is not significantly related to metabolic syndrome when examined in cross-sectional (χ² = .63, ns) and longitudinal (t = 1.53, ns) analysis. Although level of stress is not significantly related to metabolic syndrome as a whole, there is a significant relationship between stress and both triglyceride level (t = -2.94, p = .003) and blood glucose level (t = -3.26, p = .001).
APA, Harvard, Vancouver, ISO, and other styles
9

Mutiso, Lori A. "Factors Influencing Depression in Men: A Qualitative Investigation." UKnowledge, 2015. http://uknowledge.uky.edu/nursing_etds/15.

Full text
Abstract:
The purpose of this qualitative descriptive study is to describe men’s experiences of depression in order to provide direction for future research of the screening, diagnosing, and treatment of men's depression. Previous research indicates that men experience different depressive symptoms than women, and there is a possibility that men's depression is not being adequately captured by current screening standards, which would theoretically lead to a large number of men with unrecognized, undiagnosed, and untreated depression. If this is the case, this may explain the disproportionately low number of men diagnosed with depression compared to women, in contrast to the disproportionately high number of men who complete suicides. There is a need in the literature for descriptions of depression experienced by men in order to determine the adequacy of current psychometric screening tools and approaches to treatment which are currently in practice. This qualitative study seeks to begin to fill in this gap in the literature. Key findings indicate that intentionally and unintentionally hide their feelings of depression, and that men experience anger as an early sign of depression. In addition, men often do not recognize their distress as depression until someone else suggests they seek professional help; and men use various methods of distraction to cope with their distress, including excessive working, sleeping, eating, TV watching, and alcohol consumption. Recommendations for further research are discussed.
APA, Harvard, Vancouver, ISO, and other styles
10

Hinckley, Michael. "Socioecological factors that affect adolescent nervousness and depression." Thesis, California State University, Long Beach, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1527709.

Full text
Abstract:

The purpose of this study was to examine various social and ecological factors that affect adolescents' nervousness and/or depression. Secondary data from the 2011- 2012 California Health Institute Survey were used to examine these factors. Chi-Square analyses were utilized to test if relationships existed between the variables in the data. This study examined race, poverty level, immigration status, physical well-being, safety of environment, and the receipt of psychological/emotional counseling as factors for influencing feelings of nervousness and/or depression among adolescents. Results indicated that adolescents feeling nervous were affected by race, poverty level, environmental safety, and the receipt of psychological/emotional counseling. Feeling nervous did not have a significant association with physical well-being in this study. Furthermore, adolescent depression was affected by race, poverty level, physical well-being, environmental safety, and the receipt of psychological/emotional counseling. Immigration status was not found to be associated with affecting adolescent nervousness or depression. Further research is suggested.

APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Factors of depression"

1

service), ScienceDirect (Online, ed. Risk factors in depression. Amsterdam: Academic, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Washburn, Sandra Jean. Sustaining factors in clinical depression. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Donnelly, Michael. Factors which influence depression in adolescence. [s.l: The Author], 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Infant and childhood depression: Developmental factors. New York: Wiley, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Depression in new mothers: Causes, consequences, and treatment alternatives. 2nd ed. Abingdon, Oxon: Routledge, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kendall-Tackett, Kathleen A. Depression in new mothers: Causes, consequences, and treatment alternatives. 2nd ed. Abingdon, Oxon: Routledge, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

1950-, Miranda Jeanne, and Segal Zindel V. 1956-, eds. Cognitive vulnerability to depression. New York: Guilford Press, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sex differences in depression. Stanford, Calif: Stanford University Press, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Ingenkamp, Konstantin. Depression und Gesellschaft: Zur Erfindung einer Volkskrankheit. Bielefeld: Transcript, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Conroy, David L. Out of the nightmare: Recovery from depression and suicidal pain. New York: New Liberty Press, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Factors of depression"

1

Lo, Ada. "Lifestyle Factors on Depression." In Encyclopedia of Geropsychology, 1–9. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-080-3_279-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Hokanson, Jack E., and Mark P. Rubert. "Interpersonal Factors in Depression." In Personality, Social Skills, and Psychopathology, 157–84. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0635-9_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jain, Neha, and David C. Steffens. "Neurobiology and Risk Factors of Late-Life Depression." In Understanding Depression, 279–95. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6580-4_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kim, Jun Won, and Jae-Won Kim. "Risk Factors and Prevention Strategies for Depression in Childhood and Adolescence." In Understanding Depression, 263–78. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6580-4_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Cardemil, Esteban V., Néstor Noyola, and Emily He. "Cultural Considerations in Treating Depression." In Handbook of Cultural Factors in Behavioral Health, 309–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32229-8_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Lo, Ada. "Lifestyle Factors on Depression, Effects of." In Encyclopedia of Geropsychology, 1–9. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-080-3_279-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Lo, Ada. "Lifestyle Factors on Depression, Effects of." In Encyclopedia of Geropsychology, 1424–32. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-287-082-7_279.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Gibbs, Zoe, and Jayashri Kulkarni. "Risk Factors for Depression During Perimenopause." In Women's Reproductive Mental Health Across the Lifespan, 215–33. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05116-1_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Opel, Nils, Udo Dannlowski, and Ronny Redlich. "Neuroimaging of Risk Factors of Depression and Cardiovascular Disease." In Cardiovascular Diseases and Depression, 145–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32480-7_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Zielinski, T. A., and E. S. Brown. "Depression in Patients with Asthma." In Asthma: Social and Psychological Factors and Psychosomatic Syndromes, 42–50. Basel: KARGER, 2003. http://dx.doi.org/10.1159/000073779.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Factors of depression"

1

Tsugawa, Sho, Yusuke Kikuchi, Fumio Kishino, Kosuke Nakajima, Yuichi Itoh, and Hiroyuki Ohsaki. "Recognizing Depression from Twitter Activity." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702123.2702280.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Chen, Yanghao. "Analysis of Factors Influencing Depression in Early Adulthood." In Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/erss-18.2019.33.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lee, Sung Hee, and Seung A. Lee. "Protective Factors against Prenatal Depression in Pregnant Women." In Interdisciplinary Research Theory and Technology 2016. Science & Engineering Research Support soCiety, 2016. http://dx.doi.org/10.14257/astl.2016.122.15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Hsiue, TR, PY Lin, CZ Chen, W. Wang, and LC Yen. "Risk Factors for Major Depression in COPD Patients." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a4045.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Asri, Yuni, and Kun-Yang Chuang. "Factors Associated with Depression among The Elderly in Taiwan." In The 5th Intenational Conference on Public Health 2019. Masters Program in Public Health, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/theicph.2019.01.46.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Widarti, Sri, Uki Retno Budihastuti, and Vitri Widyaningsih. "Factors Affecting The Risk of Postpartum Depression in Yogyakarta." In The 6th International Conference on Public Health 2019. Masters Program in Public Health, Graduate School, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/the6thicph.03.17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Udzma, Ummu Maratul, and Anhari Achadi. "Factors Affecting Depression in Pregnant Mothers: A Systematic Review." In The 6th International Conference on Public Health 2019. Masters Program in Public Health, Graduate School, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/the6thicph.03.33.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Luna Rodríguez, Guadalupe Lizzbett, Lilian Victoria Romero-Pachicano, Casandra Pineda-Sanchéz, Viridiana Peláez-Hernández, Arturo Orea-Tejeda, Angelia Jiménez-Valentín, Maria Fernanda Salgado-Fernández, et al. "Predictive factors of depression in patients with cardiorespiratory failure." In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa4447.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sadikaj, Anita, and Artemisi Shehu. "Impact of Psychosocial Factors on Postpartum Depression of Mothers." In University for Business and Technology International Conference. Pristina, Kosovo: University for Business and Technology, 2018. http://dx.doi.org/10.33107/ubt-ic.2018.364.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hopkins, RO, CW Key, MR Suchyta, JF Orme, and LK Weaver. "Risk Factors for Depression and Anxiety in ARDS Survivors." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a5476.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Factors of depression"

1

Narasingam, MN Rajaselvi A/P M., Nor Nadirah binti Abdul Rahim, Hairol Chu Wen Ting, Ibraheem Waheed, and Rui Shian Lee. The Prevalence of Postpartum Depression and its Associated Risk Factors: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2021. http://dx.doi.org/10.37766/inplasy2021.5.0019.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

McCarthy, Michael. Identifying Modifiable Factors associated with Depression across the Lifespan in Stroke Survivor-Spouse Dyads. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.171.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Arslantas, Didem, Mustafa Tozun, Alaettin Unsal, Gokce Dagtekin, Sevil Aydogan, and Aziz Soysal. Relationships between Depression, Quality of Life and Other Possible Factors among Postmenopausal Women in Western Turkey. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, May 2020. http://dx.doi.org/10.7546/crabs.2020.05.16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Roesch, Jessica. Depression and Suicidal Ideation in Undergraduate College Students: Risk Factors and Barriers to Treatment Present Within Universities. Portland State University Library, January 2015. http://dx.doi.org/10.15760/honors.190.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ford, Jeremiah D. Prospective Analysis of Risk Factors Related to Depression and Post Traumatic Stress Disorder in Deployed United States Navy Personnel. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ad1013329.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Rancans, Elmars, Jelena Vrublevska, Ilana Aleskere, Baiba Rezgale, and Anna Sibalova. Mental health and associated factors in the general population of Latvia during the COVID-19 pandemic. Rīga Stradiņš University, February 2021. http://dx.doi.org/10.25143/fk2/0mqsi9.

Full text
Abstract:
Description The goal of the study was to assess mental health, socio-psychological and behavioural aspects in the representative sample of Latvian general population in online survey, and to identify vulnerable groups during COVID-19 pandemic and develop future recommendations. The study was carried out from 6 to 27 July 2020 and was attributable to the period of emergency state from 11 March to 10 June 2020. The protocol included demographic data and also data pertaining to general health, previous self-reported psychiatric history, symptoms of anxiety, clinically significant depression and suicidality, as well as a quality of sleep, sex, family relationships, finance, eating and exercising and religion/spirituality, and their changes during the pandemic. The Center for Epidemiologic Studies Depression scale was used to determine the presence of distress or depression, the Risk Assessment of Suicidality Scale was used to assess suicidal behaviour, current symptoms of anxiety were assessed by the State-Trait Anxiety Inventory form Y. (2021-02-04) Subject Medicine, Health and Life Sciences Keyword: COVID19, pandemic, depression, anxiety, suicidality, mental health, Latvia
APA, Harvard, Vancouver, ISO, and other styles
7

Zheng, Yuping, Jing Gao, and Xiaolin Jiang. Related factors for depression among Chinese men who have sex with men: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2020. http://dx.doi.org/10.37766/inplasy2020.11.0142.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Berndt, Ernst, Richard Frank, and Thomas McGuire. Alternate Insurance Arrangements and the Treatment of Depression: What Are the Facts? Cambridge, MA: National Bureau of Economic Research, November 1996. http://dx.doi.org/10.3386/w5813.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Dy, Sydney M., Julie M. Waldfogel, Danetta H. Sloan, Valerie Cotter, Susan Hannum, JaAlah-Ai Heughan, Linda Chyr, et al. Integrating Palliative Care in Ambulatory Care of Noncancer Serious Chronic Illness: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), February 2020. http://dx.doi.org/10.23970/ahrqepccer237.

Full text
Abstract:
Objectives. To evaluate availability, effectiveness, and implementation of interventions for integrating palliative care into ambulatory care for U.S.-based adults with serious life-threatening chronic illness or conditions other than cancer and their caregivers We evaluated interventions addressing identification of patients, patient and caregiver education, shared decision-making tools, clinician education, and models of care. Data sources. We searched key U.S. national websites (March 2020) and PubMed®, CINAHL®, and the Cochrane Central Register of Controlled Trials (through May 2020). We also engaged Key Informants. Review methods. We completed a mixed-methods review; we sought, synthesized, and integrated Web resources; quantitative, qualitative and mixed-methods studies; and input from patient/caregiver and clinician/stakeholder Key Informants. Two reviewers screened websites and search results, abstracted data, assessed risk of bias or study quality, and graded strength of evidence (SOE) for key outcomes: health-related quality of life, patient overall symptom burden, patient depressive symptom scores, patient and caregiver satisfaction, and advance directive documentation. We performed meta-analyses when appropriate. Results. We included 46 Web resources, 20 quantitative effectiveness studies, and 16 qualitative implementation studies across primary care and specialty populations. Various prediction models, tools, and triggers to identify patients are available, but none were evaluated for effectiveness or implementation. Numerous patient and caregiver education tools are available, but none were evaluated for effectiveness or implementation. All of the shared decision-making tools addressed advance care planning; these tools may increase patient satisfaction and advance directive documentation compared with usual care (SOE: low). Patients and caregivers prefer advance care planning discussions grounded in patient and caregiver experiences with individualized timing. Although numerous education and training resources for nonpalliative care clinicians are available, we were unable to draw conclusions about implementation, and none have been evaluated for effectiveness. The models evaluated for integrating palliative care were not more effective than usual care for improving health-related quality of life or patient depressive symptom scores (SOE: moderate) and may have little to no effect on increasing patient satisfaction or decreasing overall symptom burden (SOE: low), but models for integrating palliative care were effective for increasing advance directive documentation (SOE: moderate). Multimodal interventions may have little to no effect on increasing advance directive documentation (SOE: low) and other graded outcomes were not assessed. For utilization, models for integrating palliative care were not found to be more effective than usual care for decreasing hospitalizations; we were unable to draw conclusions about most other aspects of utilization or cost and resource use. We were unable to draw conclusions about caregiver satisfaction or specific characteristics of models for integrating palliative care. Patient preferences for appropriate timing of palliative care varied; costs, additional visits, and travel were seen as barriers to implementation. Conclusions. For integrating palliative care into ambulatory care for serious illness and conditions other than cancer, advance care planning shared decision-making tools and palliative care models were the most widely evaluated interventions and may be effective for improving only a few outcomes. More research is needed, particularly on identification of patients for these interventions; education for patients, caregivers, and clinicians; shared decision-making tools beyond advance care planning and advance directive completion; and specific components, characteristics, and implementation factors in models for integrating palliative care into ambulatory care.
APA, Harvard, Vancouver, ISO, and other styles
10

Factors associated with depression among young female migrants and commercial sex workers in Ethiopia. Population Council, 2021. http://dx.doi.org/10.31899/pgy17.1025.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Factors of depression' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography