Relevant bibliographies by topics / Depression, Mental. Depression, Mental

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

Academic literature on the topic 'Depression, Mental. Depression, Mental'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Depression, Mental. Depression, Mental"

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Young, Myles D., and Philip J. Morgan. "Effect of a Gender-Tailored eHealth Weight Loss Program on the Depressive Symptoms of Overweight and Obese Men: Pre-Post Study." JMIR Mental Health 5, no. 1 (January 9, 2018): e1. http://dx.doi.org/10.2196/mental.8920.

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Background Obesity and depression are of two of the largest contributors to the global burden of disease in men. Although lifestyle behavior change programs can improve participants’ weight and depressive symptoms, the evidence is limited by a lack of male participants and a reliance on face-to-face treatment approaches, which are not accessible or appealing for many men. Objective This study examined the effect of a gender-tailored electronic health (eHealth) program on the depressive symptoms of a community sample of overweight and obese men with or without depression. A secondary aim was to determine whether the eHealth, self-directed format of the program was a feasible and acceptable treatment approach for the subgroup of men with depression at baseline. Methods In total, 209 overweight/obese men from the Hunter Region of Australia were assessed before and after completing a self-administered eHealth weight loss program over 3 months. To increase engagement, most program elements were socio-culturally targeted to appeal specifically to men and included printed materials, a DVD, motivational text messages, online- or app-based self-monitoring, and other weight loss tools (eg, pedometer). Depressive symptoms were measured with the validated 8-item Patient Health Questionnaire (PHQ-8). Program feasibility and acceptability were assessed with a process questionnaire plus recruitment and retention rates. Changes in depressive symptoms and weight were examined using intention-to-treat linear mixed models, adjusted for the centered baseline score and other covariates. Effect sizes were estimated with Cohen’s d. Results At baseline, the mean weight and age of the sample was 105.7 kg (standard deviation [SD] 14.0) and 46.6 years (SD 11.3), respectively. Overall, 36 men (36/209, 17.2%) were experiencing depression (PHQ-8 score ≥10). Retention rates were comparable between men with and without depression (32/36, 88.9% vs 145/173, 83.8%; P=.44). At posttest, depressive symptoms had reduced by 1.8 units (95% CI 1.3 to 2.3; P<.001; d=0.5) for the whole sample. These improvements were particularly notable in the subgroup of men with depression (-5.5 units; P<.001; d=1.0) and 72.2% (26/36) of this subgroup no longer met the criterion for depression at posttest. A corresponding, albeit smaller, intervention effect on depressive symptoms was also observed in men without depression (-1.0 units; P<.001; d=0.4). The overall intervention effect on weight was -4.7 kg (d=1.3), which did not vary significantly by depression status. Program acceptability, feasibility, and online engagement metrics were also comparable between men with and without depression. Conclusions A gender-tailored eHealth lifestyle program generated short-term improvements in the mental health of overweight and obese men, particularly for men with depression at baseline. Despite receiving no personalized support, men with depression reported high levels of satisfaction and engagement with the program. As such, a longer-term controlled trial testing an adapted version of the program for this subgroup is warranted. Trial Registration Australian New Zealand Clinical Trials Registry: ACTRN12612000749808; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?id=362575 (Archived by WebCite at http://www.webcitation.org/6wJvbRsNW)
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Crisp, Dimity A., and Kathleen M. Griffiths. "Reducing Depression Through an Online Intervention: Benefits From a User Perspective." JMIR Mental Health 3, no. 1 (January 8, 2016): e4. http://dx.doi.org/10.2196/mental.4356.

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Background Internet interventions are increasingly being recognized as effective in the treatment and prevention of mental health conditions; however, the usefulness of such programs from the perspective of the participants is often not reported. Objective This study explores the experiences of participants of a 12-week randomized controlled trial of an automated self-help training program (e-couch), with and without an Internet support group, targeting depression. Methods The study comprised a community sample of 298 participants who completed an online survey both prior to and on completion of an intervention for preventing or reducing depressive symptoms. Results Overall, participants reported a high level of confidence in the ability of an online intervention to improve a person’s understanding of depression. However, confidence that a website could help people learn skills for preventing depression was lower. Benefits reported by participants engaged in the intervention included increased knowledge regarding depression and its treatment, reduced depressive symptoms, increased work productivity, and improved ability to cope with everyday stress. A minority of participants reported concerns or problems resulting from participation in the interventions. Conclusions The findings provide consumer support for the effectiveness of this online intervention. Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN): 65657330;http://www.isrctn.com/ISRCTN65657330 (Archived by WebCite at http://www.webcitation.org/6cwH8xwF0)
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Lachmar, E. Megan, Andrea K. Wittenborn, Katherine W. Bogen, and Heather L. McCauley. "#MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter." JMIR Mental Health 4, no. 4 (October 18, 2017): e43. http://dx.doi.org/10.2196/mental.8141.

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Background Social media provides a context for billions of users to connect, express sentiments, and provide in-the-moment status updates. Because Twitter users tend to tweet emotional updates from daily life, the platform provides unique insights into experiences of mental health problems. Depression is not only one of the most prevalent health conditions but also carries a social stigma. Yet, opening up about one’s depression and seeking social support may provide relief from symptoms. Objective The aim of this study was to examine the public discourse of the trending hashtag #MyDepressionLooksLike to look more closely at how users talk about their depressive symptoms on Twitter. Methods We captured 3225 original content tweets for the hashtag #MyDepressionLooksLike that circulated in May of 2016. Eliminating public service announcements, spam, and tweets with links to pictures or videos resulted in a total of 1978 tweets. Using qualitative content analysis, we coded the tweets to detect themes. Results The content analysis revealed seven themes: dysfunctional thoughts, lifestyle challenges, social struggles, hiding behind a mask, apathy and sadness, suicidal thoughts and behaviors, and seeking relief. Conclusions The themes revealed important information about the content of the public messages that people share about depression on Twitter. More research is needed to understand the effects of the hashtag on increasing social support for users and reducing social stigma related to depression.
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Fogarty, Andrea Susan, Judy Proudfoot, Erin Louise Whittle, Janine Clarke, Michael J. Player, Helen Christensen, and Kay Wilhelm. "Preliminary Evaluation of a Brief Web and Mobile Phone Intervention for Men With Depression: Men’s Positive Coping Strategies and Associated Depression, Resilience, and Work and Social Functioning." JMIR Mental Health 4, no. 3 (August 10, 2017): e33. http://dx.doi.org/10.2196/mental.7769.

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Background Previous research has identified that men experiencing depression do not always access appropriate health services. Web-based interventions represent an alternative treatment option for men, are effective in reducing anxiety and depression, and have potential for wide dissemination. However, men do not access Web-based programs at the same rate as women. Programs with content explicitly tailored to men’s mental health needs are required. Objective This study evaluated the applicability of Man Central, a new Web and mobile phone intervention for men with depression. The impact of the use of Man Central on depression, resilience, and work and social functioning was assessed. Methods A recruitment flier was distributed via social media, email networks, newsletters, research registers, and partner organizations. A single-group, repeated measures design was used. The primary outcome was symptoms of depression. Secondary outcomes included externalizing symptoms, resilience, and work and social functioning. Man Central comprises regular mood, symptom, and behavior monitoring, combined with three 15-min interactive sessions. Clinical features are grounded in cognitive behavior therapy and problem-solving therapy. A distinguishing feature is the incorporation of positive strategies identified by men as useful in preventing and managing depression. Participants were directed to use Man Central for a period of 4 weeks. Linear mixed modeling with intention-to-treat analysis assessed associations between the intervention and the primary and secondary outcomes. Results A total of 144 men aged between 18 and 68 years and with at least mild depression enrolled in the study. The symptoms most often monitored by men included motivation (471 instances), depression (399), sleep (323), anxiety (316), and stress (262). Reminders were scheduled by 60.4% (87/144). Significant improvements were observed in depression symptoms (P<.001, d=0.68), depression risk, and externalizing symptoms (P<.001, d=0.88) and work and social functioning (P<.001, d=0.78). No change was observed in measures of resilience. Participants reported satisfaction with the program, with a majority saying that it was easy (42/51, 82%) and convenient (41/51, 80%) to use. Study attrition was high; 27.1% (39/144) and 8.3% (12/144) of the participants provided complete follow-up data and partial follow-up data, respectively, whereas the majority (93/144, 64.6%) did not complete follow-up measures. Conclusions This preliminary evaluation demonstrated the potential of using electronic health (eHealth) tools to deliver self-management strategies to men with depressive symptoms. Man Central may meet the treatment needs of a subgroup of depressed men who are willing to engage with an e-mental health program. With further research, it may provide an acceptable option to those unwilling or unable to access traditional mental health services. Given the limitations of the study design, prospective studies are required, using controlled designs to further elucidate the effect of the program over time.
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Lahtinen, Eero. "Mental health in Finland." International Psychiatry 3, no. 1 (January 2006): 12–14. http://dx.doi.org/10.1192/s1749367600001442.

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The prevalence of mental illnesses in Finland generally reflects global trends, with a clear increase in the occurrence of depression and anxiety. At any time, between 4% and 9% of the population of 5.2 million suffer from major depressive disorders. Some 10–20% of the population experience depression during their lifetime. Bipolar depressive disorders affect 1–2% and schizophrenia 0.5–1.5% of the population. The prevalence of alcoholism is 4–8%.
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Clarke, Janine, Judith Proudfoot, and Howard Ma. "Mobile Phone and Web-based Cognitive Behavior Therapy for Depressive Symptoms and Mental Health Comorbidities in People Living With Diabetes: Results of a Feasibility Study." JMIR Mental Health 3, no. 2 (May 31, 2016): e23. http://dx.doi.org/10.2196/mental.5131.

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Background Depression is often comorbid with diabetes; however, undertreatment of depressive symptoms in people affected is common. Objective We studied preliminary acceptability and effectiveness of a fully automated, mobile phone, and web-based public health intervention, myCompass, for reducing depressive symptoms and improving mental health comorbidities in people with diabetes. Methods In this single-group feasibility study, 89 volunteers with type 1 (n=34) or type 2 (n=55) diabetes and at least mild depressive symptoms used myCompass for 7 weeks. Web-based measures of depressive and anxious symptoms, functional impairment, diabetes-specific variables, and user satisfaction were completed at baseline, postintervention, and 3-month follow-up. Results Retention rates were 54% (n=48) at postintervention and 36% (n=32) at follow-up. Depressive symptoms were significantly improved at postintervention (P<.001; within-group effect size d=1.05), with gains persisting at follow-up. Mental health comorbidities, including anxiety (P<.001), functioning (P<.001), and diabetes-specific distress (P<.001), also showed significant and sustained improvement. Satisfaction with myCompass was high, with convenience and ease of program use, and relevance of program content rated positively by participants. Conclusions The myCompass program shows promise as an acceptable and effective treatment for depression and comorbid mental health problems in people with diabetes. The program is broadly available, free to use, and may benefit patients with diabetes who do not access services and/or wish to manage their mental health themselves. Replication of these findings in a controlled study is warranted.
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McRory, Barry. "Mental health: depression." British Journal of Healthcare Assistants 6, no. 5 (May 2012): 236–40. http://dx.doi.org/10.12968/bjha.2012.6.5.236.

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Nzeyimana, Antoine, Kate EA Saunders, John R. Geddes, and Patrick E. McSharry. "Lamotrigine Therapy for Bipolar Depression: Analysis of Self-Reported Patient Data." JMIR Mental Health 5, no. 4 (November 22, 2018): e63. http://dx.doi.org/10.2196/mental.9026.

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Background Depression in people with bipolar disorder is a major cause of long-term disability, possibly leading to early mortality and currently, limited safe and effective therapies exist. Although existing monotherapies such as quetiapine have limited proven efficacy and practical tolerability, treatment combinations may lead to improved outcomes. Lamotrigine is an anticonvulsant currently licensed for the prevention of depressive relapses in individuals with bipolar disorder. A double-blinded randomized placebo-controlled trial (comparative evaluation of Quetiapine-Lamotrigine [CEQUEL] study) was conducted to evaluate the efficacy of lamotrigine plus quetiapine versus quetiapine monotherapy in patients with bipolar type I or type II disorders. Objective Because the original CEQUEL study found significant depressive symptom improvements, the objective of this study was to reanalyze CEQUEL data and determine an unbiased classification accuracy for active lamotrigine versus placebo. We also wanted to establish the time it took for the drug to provide statistically significant outcomes. Methods Between October 21, 2008 and April 27, 2012, 202 participants from 27 sites in United Kingdom were randomly assigned to two treatments; 101: lamotrigine, 101: placebo. The primary variable used for estimating depressive symptoms was based on the Quick Inventory of Depressive Symptomatology—self report version 16 (QIDS-SR16). The original CEQUEL study findings were confirmed by performing t test and linear regression. Multiple features were computed from the QIDS-SR16 time series; different linear and nonlinear binary classifiers were trained to distinguish between the two groups. Various feature-selection techniques were used to select a feature set with the greatest explanatory power; a 10-fold cross-validation was used. Results From weeks 10 to 14, the mean difference in QIDS-SR16 ratings between the groups was −1.6317 (P=.09; sample size=81, 77; 95% CI −0.2403 to 3.5036). From weeks 48 to 52, the mean difference was −2.0032 (P=.09; sample size=54, 48; 95% CI −0.3433 to 4.3497). The coefficient of variation (σ/μ) and detrended fluctuation analysis (DFA) exponent alpha had the greatest explanatory power. The out-of-sample classification accuracy for the 138 participants who reported more than 10 times after week 12 was 62%. A consistent classification accuracy higher than the no-information benchmark was obtained in week 44. Conclusions Adding lamotrigine to quetiapine treatment decreased depressive symptoms in patients with bipolar disorder. Our classification model suggested that lamotrigine increased the coefficient of variation in the QIDS-SR16 scores. The lamotrigine group also tended to have a lower DFA exponent, implying a substantial temporal instability in the time series. The performance of the model over time suggested that a trial of at least 44 weeks was required to achieve consistent results. The selected model confirmed the original CEQUEL study findings and helped in understanding the temporal dynamics of bipolar depression during treatment. Trial Registration EudraCT Number 2007-004513-33; https://www.clinicaltrialsregister.eu/ctr-search/trial/2007-004513-33/GB (Archived by WebCite at http://www.webcitation.org/73sNaI29O).
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Heidt, Ryan. "Prevent Depression: Improving Access to Brazil's Mental Health Services." Clinical Social Work and Health Intervention 7, no. 4 (December 17, 2016): 20–24. http://dx.doi.org/10.22359/cswhi_7_4_03.

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Mikoteit, Thorsten, and Martin Hatzinger. "Chronische Depression." Zeitschrift für Psychiatrie, Psychologie und Psychotherapie 57, no. 4 (September 2009): 245–51. http://dx.doi.org/10.1024/1661-4747.57.4.245.

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Depressionen gehören zu den häufigsten psychischen Krankheiten. Obwohl Depressionen als gut behandelbar gelten, zeichnet sich in 20 % der Fälle ein chronischer Verlauf ab. Chronische Depressionen können rein deskriptiv in verschiedene Subtypen eingeteilt werden, deren Relevanz aber umstritten ist. Chronische Depressionen unterscheiden sich von remittierenden depressiven Episoden durch eine Reihe klinischer, demographischer und psychosozialer Merkmale. Außerdem lassen sich Prädiktoren für einen chronischen Krankheitsverlauf benennen. Am häufigsten spielt dabei eine unzureichende Behandlung eine Rolle, seltener liegt eine echte Therapieresistenz vor. Die Psychopharmakotherapie einer chronischen Depression erfolgt nach den Prinzipien der Behandlung einer episodischen Depression. Dabei ist die Erhaltungs- und prophylaktische Therapie von besonderer Bedeutung. In den letzten Jahren wurden spezifische Psychotherapieformen entwickelt, die sich vor allem in der Kombinationstherapie bewährt haben und Remissionsgrad und Rückfallrate verbessern können.
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Dissertations / Theses on the topic "Depression, Mental. Depression, Mental"

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Cheung, Elsie. "Depressive automatic processes as vulnerability markers in depression." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30986.

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Previous research has found little support for cognitive vulnerability factors in depression. I argue that this lack of support is due to the use of tasks that tap into effortful processes, as seen in previous research. I propose that support for cognitive vulnerability factors would be found by using tasks which tap into automatic processes. Depressive automatic processes were assessed by three tasks: dichotic listening, probe detection, and implicit memory tasks. For the dichotic listening task, subjects shadowed brief neutral passages while depression- and positive-content words were played in the unattended channel. Concurrently, subjects were required to detect the word "press" presented intermittently on a computer screen. Detection latencies were recorded. For the probe detection task, pairs of words were briefly presented on a computer screen, one appearing in the upper half of the screen, and one appearing in the bottom half. Three types of word pairs were used: neutral-neutral, depression-neutral, and positive-neutral. Subjects were asked to read the top word aloud. They were also required to detect the presence of a "+", which sometimes appeared in either location of the words. Detection latencies were recorded. For the implicit memory task, half of the subjects were presented with a list of words and were required to rate each word on how much they liked each word. Four types of words were used: depression-related, happiness-related, types of flowers, and types of diseases. These subjects were then asked to generate eight exemplars for each word type. The other half of the subjects were simply asked to generate eight exemplars for the word types. Depressive effortful processes were defined as self-report of cognitions. This was assessed by three self-report questionnaires: Dysfunctional Attitude Scale, Automatic Thoughts Questionnaire, and the Hopelessness Scale. Three groups of subjects were used: currently depressed patients (n=20), remitted depressed individuals (n=20), and nondepressed individuals (n=20). The currently depressed group consisted of 13 women and 7 men, the remitted depressed group consisted of 16 women and 4 men, whereas the nondepressed group consisted of 13 women and 7 men. Their ages ranged from 23 to 65 years, with an overall average of 39.9 (SD = 11.28) years. Subjects were tested individually on each of the tasks. Three months after testing, they were asked to complete the Beck Depression Inventory. Four main hypotheses were examined: (a) currently depressed individuals would show a bias for depression-related stimuli on the automatic tasks; (b) remitted depressed individuals' pattern of performance on the automatic tasks would resemble that of the currently depressed patients; (c) remitted depressed individuals' pattern of performance on the effortful tasks would resemble that of the nondepressed individuals; and (d) measures of depressive automatic processes would be predictive of follow-up depressive symptoms. Analyses of variance and regression analyses were used. The first hypothesis was not supported. The second hypothesis was only supported for the dichotic listening task. The third hypothesis was supported, whereas the fourth hypothesis was not supported. Implications of the results to schema theory, vulnerability methodology, and clinical assessment procedures were dlscussed.
Arts, Faculty of
Psychology, Department of
Graduate
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Wood, William E. "Depression a cure /." Portland, Or. : Theological Research Exchange Network (TREN), 2005. http://www.tren.com.

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Warren, Sonja C. "A construction of family roles by working men who experience depression." Pretoria : [s.n.], 2002. http://upetd.up.ac.za/thesis/available/etd-07252005-095433.

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Stasiuk, Christopher P. "Examining Psalm 119 from a therapeutic perspective for the treatment of depression." Online full text .pdf document, available to Fuller patrons only, 1999. http://www.tren.com.

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Dzelzgalvis, Ieva. "Depression and idolatry the forgotten link /." Theological Research Exchange Network (TREN) Access this title online, 2005. http://www.tren.com.

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McGill, Fox Eileen. "Mental health services and late-onset depression." Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/2361.

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Coffman, Jami L. "Counterfactual thinking and depression." Virtual Press, 1995. http://liblink.bsu.edu/uhtbin/catkey/941713.

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This study explored the relationship between counterfactual thinking and depressive self-schemata. Specifically, the effect of depression on the focus, direction, and action versus inaction of counterfactual thoughts was studied. It was found that the positive and negative outcome events containing action resulted in a greater range of affect (regret and joy) for the depressed group, and positive and negative outcome events with inaction resulted in greater affect (regret and joy) for the nondepressed group. The depressed and nondepressed groups did not differ in their focus on the self or other within their counterfactual thoughts in response to a positive or negative eventAlso, no differences between the depressed and nondepressed groups use of upward and downward counterfactual thoughts were found.
Department of Counseling Psychology and Guidance Services
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Goggin, Leigh S. "The affective response to ambiguous stimuli in depression." University of Western Australia, 2005. http://theses.library.uwa.edu.au/adt-WU2005.0124.

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Cognitive theory of depression predicts that the illness is associated with an information processing bias that interprets ambiguous information in a mood-congruent or depressive fashion. This negative interpretative bias may serve as a vulnerability factor or maintenance mechanism for a depressive illness. The majority of studies investigating such interpretative biases rely primarily on subjective experimental methodologies (eg., evaluative feedback and self-report) that are vulnerable to experimenter demand effects, response selection biases, and the influence of autobiographical memories. In addition, the results from these studies have been mixed, leading to no firm evidence for the existence of a depression-linked interpretative bias for ambiguous material. In order to avoid the limitations that have plagued subjective research, the present study utilised two of the most promising objective physiological measures of assessing interpretation: the Rapid Serial Viewing Presentation (RSVP) procedure and the affective modulation of the human eye blink reflex. The modified RSVP experiment recorded the reaction time of participants reading a textual scenario that was composed of an opening ambiguous sentence and various emotionally valenced continuations. Interpretation of the ambiguous sentence could be inferred from the reaction time as comprehension latency is inversely related to perceived plausibility. The affective modulation experiment recorded the blink amplitudes of participants startled while performing an imagery task. Blink amplitudes are augmented by negative stimuli and inhibited by hedonic stimuli. Thus, the affective interpretation of ambiguous stimuli could be inferred from the size of the recorded blink response. The results of both experiments did not support the predictions made by cognitive theory. There was no difference in the reaction time responses to the various textual stimuli between 2 depressed outpatients and healthy controls. However, antidepressant medication did have an influence upon the ability of patients to correctly judge the plausibility of the emotionally valenced continuation sentences. With regard to the eye blink experiment, there was also no difference between the depressed outpatients and the controls in terms of size of blink amplitude to the various categories of affective stimuli. Depressive, ambiguous, and distorted stimuli did not augment blink amplitudes in healthy controls or depressed patients without social anxiety disorder. However, depressed patients with a comorbid diagnosis of social anxiety disorder did react to the ambiguous stimuli in an aversive and anxious manner as indicated by increased blink amplitudes. This may be due to the social aspect of the experimental context, which engenders fears of evaluation and performance anxiety. The eye blink procedure can therefore be compromised by group selection, as the comorbidity of anxiety and depression can confound the investigation of depression-linked interpretative biases. In addition, the failure of depressive stimuli to augment blink amplitudes may render the procedure insensitive to the selection of such biases
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Sawatzky, Dana Lynn. "Hopelessness in the social domain social hopelessness, depressive predictive certainty, stress, and depression /." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq27321.pdf.

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Hagembe, Juliana L. "Comparison of a combination of psychotherapy and pharmacotherapy, to either therapy alone, for treatment of depression." Thesis, Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41709822.

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Books on the topic "Depression, Mental. Depression, Mental"

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1971-, Watkins Ed, ed. Depression. 2nd ed. Hove, East Sussex: Psychology Press, 2008.

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Depression. Hove, East Sussex, [England]: Psychology Press, 1997.

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Hammen, Constance L. Depression. 2nd ed. Hove, East Sussex: Psychology Press, 2008.

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Depression. New York: Routledge, 2011.

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Depression. 2nd ed. Oxford: Oxford University Press, 2011.

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Sanders, Pete. Depression & mental health. Brookfield, Conn: Copper Beech Books, 1998.

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A, Alford Brad, ed. Depression: Causes and treatments. 2nd ed. Philadelphia: University of Pennsylvania Press, 2008.

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Depression. London: Taylor & Francis Inc, 2004.

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Rowe, Dorothy. Depression. London: Taylor & Francis Group Plc, 2004.

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Depression. Minneapolis: Twenty-First Century Books, 2011.

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Book chapters on the topic "Depression, Mental. Depression, Mental"

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Merianos, Ashley. "Depression." In Medical and Mental Health During Childhood, 133–50. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31117-3_8.

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McMickens, Courtney L., and Amber J. Landers. "Depression." In Pediatric Mental Health for Primary Care Providers, 109–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90350-7_10.

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Bloom, Michael V., and David A. Smith. "Depression." In Brief Mental Health Interventions for the Family Physician, 26–36. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0153-0_3.

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Larkin, Derek, and Colin R Martin. "Probiotics and Depression." In Probiotics in Mental Health, 86–95. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018] | “Ascience publishers book.”: CRC Press, 2018. http://dx.doi.org/10.1201/9780429458873-9.

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Giraldi, Tullio. "The Mental Disorder Epidemic." In Unhappiness, Sadness and 'Depression', 31–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57657-2_4.

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Mašek, K. "Immunopharmacological Aspects of Mental Disorders." In New Concepts in Depression, 306–19. London: Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-09506-3_28.

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Vaccarino, Viola. "Mental Stress-Induced Myocardial Ischemia." In Cardiovascular Diseases and Depression, 105–21. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32480-7_8.

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Fletcher, Richard, Craig F. Garfield, and Stephen Matthey. "Fathers’ Perinatal Mental Health." In Identifying Perinatal Depression and Anxiety, 165–76. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118509722.ch10.

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Lech, Margaret, Lu-Shih Low, and Kuan Ee Ooi. "Detection and Prediction of Clinical Depression." In Mental Health Informatics, 185–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38550-6_10.

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Valadares, Gislene, Austen Venancio Drummond, Carolina Cassiano Rangel, Eduardo Santos, and Gisele Apter. "Maternal Mental Health and Peripartum Depression." In Women's Mental Health, 349–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29081-8_24.

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Conference papers on the topic "Depression, Mental. Depression, Mental"

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Von Sperling, Otto, and Marcelo Ladeira. "Mining Twitter Data for Signs of Depression in Brazil." In VII Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/kdmile.2019.8785.

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The literature on computerized models that help detect, study and understand signs of mental health disor- ders from social media has been thriving since the mid-2000s for English speakers. In Brazil, this area of research shows promising results, in addition to a variety of niches that still need exploring. Thus, we construct a large corpus from 2941 users (1486 depressive, 1455 non-depressive), and induce machine learning models to identify signs of depression from our Twitter corpus. In order to achieve our goal, we extract features by measuring linguistic style, behavioral patterns, and affect from users’ public tweets and metadata. Resulting models successfully distinguish between depressive and non-depressive classes with performance scores comparable to results in the literature. We hope that our findings can become stepping stones towards more methodologies being applied at the service of mental health.
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"A Mobile System for Treatment of Depression." In 2nd International Workshop on Computing Paradigms for Mental Health. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003891700470058.

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Liu, Xingwang, Mi Li, Shengfu Lu, Ming Zhang, Dachao Liu, Lei Feng, Bingbing Fu, Gang Wang, and Ning Zhong. "Eye movement pattern and mental retardation in depression." In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017. http://dx.doi.org/10.1109/bibm.2017.8217788.

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Huang, Wei. "Analysis on Depression Among LGBTQ Population." In 2021 2nd International Conference on Mental Health and Humanities Education（ICMHHE 2021）. Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210617.082.

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Shen, Guangyao, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, and Wenwu Zhu. "Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/536.

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Depression is a major contributor to the overall global burden of diseases. Traditionally, doctors diagnose depressed people face to face via referring to clinical depression criteria. However, more than 70% of the patients would not consult doctors at early stages of depression, which leads to further deterioration of their conditions. Meanwhile, people are increasingly relying on social media to disclose emotions and sharing their daily lives, thus social media have successfully been leveraged for helping detect physical and mental diseases. Inspired by these, our work aims to make timely depression detection via harvesting social media data. We construct well-labeled depression and non-depression dataset on Twitter, and extract six depression-related feature groups covering not only the clinical depression criteria, but also online behaviors on social media. With these feature groups, we propose a multimodal depressive dictionary learning model to detect the depressed users on Twitter. A series of experiments are conducted to validate this model, which outperforms (+3% to +10%) several baselines. Finally, we analyze a large-scale dataset on Twitter to reveal the underlying online behaviors between depressed and non-depressed users.
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Silveira, Bárbara, Ana Paula Couto Da Silva, and Fabricio Murai. "Análise de Comunidades de Suporte a Transtornos de Saúde Mental do Reddit." In VII Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/brasnam.2018.3577.

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Nos últimos anos, redes sociais online ampliaram suas funcionalidades e objetivos. Inicialmente focadas em fomentar amizades, troca de imagens ou vídeos, passaram a conectar pessoas dispostas a trocar experiências relacionadasá problemas de saúde, como por exemplo, obesidade e depressão. Neste trabalho, caracterizamos os usuários de quatro comunidades do Reddit centradas na troca de experiências relacionadasá problemas de saúde mental, intituladas: Depression, SuicideWatch, Anxiety e Bipolar. O enfoque principal deste artigo é na análise (i) da atividade destes usuários, (ii) do suporte social oferecido por estas comunidades, e (iii) das experiências compartilhadas através de posts e comentários.
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Aiyang, Jiang. "A Review and Conjectures of Therapies for Depression." In 2021 2nd International Conference on Mental Health and Humanities Education（ICMHHE 2021）. Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210617.093.

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Teles, Ariel, Ivan Rodrigues, Davi Viana, Francisco Silva, Luciano Coutinho, Markus Endler, and Ricardo Rabelo. "Mobile Mental Health: A Review of Applications for Depression Assistance." In 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2019. http://dx.doi.org/10.1109/cbms.2019.00143.

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Wang, Yitong. "The Present Situations, Causes, and Clinical Therapy of Depression in College Students." In International Conference on Mental Health and Humanities Education (ICMHHE 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200425.071.

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Li, Yang, Yingjie Li, Shanbao Tong, Yingying Tang, and Yisheng Zhu. "More normal EEGs of depression patients during mental arithmetic than rest." In 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging. IEEE, 2007. http://dx.doi.org/10.1109/nfsi-icfbi.2007.4387716.

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Reports on the topic "Depression, Mental. Depression, Mental"

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Van Gundy, Karen. Mental health among northern New Hampshire young adults: depression and substance problems higher than nationwide. University of New Hampshire Libraries, 2013. http://dx.doi.org/10.34051/p/2020.204.

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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.

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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
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Li, De-Kun, Jeannette Ferber, Roxana Odouli, Tracy Flanagan, Lyndsay Avalos, Mason Turner, and Charles Quesenberry. Effects of Maternal Depression and Its Treatment on Infant Health in Pregnant Women, With or Without Other Mental Illness. Patient-Centered Outcomes Research Institute® (PCORI), March 2020. http://dx.doi.org/10.25302/03.2020.ce.13046721.

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Viswanathan, Meera, Jennifer Cook Middleton, Alison Stuebe, Nancy Berkman, Alison N. Goulding, Skyler McLaurin-Jiang, Andrea B. Dotson, et al. Maternal, Fetal, and Child Outcomes of Mental Health Treatments in Women: A Systematic Review of Perinatal Pharmacologic Interventions. Agency for Healthcare Research and Quality (AHRQ), April 2021. http://dx.doi.org/10.23970/ahrqepccer236.

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Background. Untreated maternal mental health disorders can have devastating sequelae for the mother and child. For women who are currently or planning to become pregnant or are breastfeeding, a critical question is whether the benefits of treating psychiatric illness with pharmacologic interventions outweigh the harms for mother and child. Methods. We conducted a systematic review to assess the benefits and harms of pharmacologic interventions compared with placebo, no treatment, or other pharmacologic interventions for pregnant and postpartum women with mental health disorders. We searched four databases and other sources for evidence available from inception through June 5, 2020 and surveilled the literature through March 2, 2021; dually screened the results; and analyzed eligible studies. We included studies of pregnant, postpartum, or reproductive-age women with a new or preexisting diagnosis of a mental health disorder treated with pharmacotherapy; we excluded psychotherapy. Eligible comparators included women with the disorder but no pharmacotherapy or women who discontinued the pharmacotherapy before pregnancy. Results. A total of 164 studies (168 articles) met eligibility criteria. Brexanolone for depression onset in the third trimester or in the postpartum period probably improves depressive symptoms at 30 days (least square mean difference in the Hamilton Rating Scale for Depression, -2.6; p=0.02; N=209) when compared with placebo. Sertraline for postpartum depression may improve response (calculated relative risk [RR], 2.24; 95% confidence interval [CI], 0.95 to 5.24; N=36), remission (calculated RR, 2.51; 95% CI, 0.94 to 6.70; N=36), and depressive symptoms (p-values ranging from 0.01 to 0.05) when compared with placebo. Discontinuing use of mood stabilizers during pregnancy may increase recurrence (adjusted hazard ratio [AHR], 2.2; 95% CI, 1.2 to 4.2; N=89) and reduce time to recurrence of mood disorders (2 vs. 28 weeks, AHR, 12.1; 95% CI, 1.6 to 91; N=26) for bipolar disorder when compared with continued use. Brexanolone for depression onset in the third trimester or in the postpartum period may increase the risk of sedation or somnolence, leading to dose interruption or reduction when compared with placebo (5% vs. 0%). More than 95 percent of studies reporting on harms were observational in design and unable to fully account for confounding. These studies suggested some associations between benzodiazepine exposure before conception and ectopic pregnancy; between specific antidepressants during pregnancy and adverse maternal outcomes such as postpartum hemorrhage, preeclampsia, and spontaneous abortion, and child outcomes such as respiratory issues, low Apgar scores, persistent pulmonary hypertension of the newborn, depression in children, and autism spectrum disorder; between quetiapine or olanzapine and gestational diabetes; and between benzodiazepine and neonatal intensive care admissions. Causality cannot be inferred from these studies. We found insufficient evidence on benefits and harms from comparative effectiveness studies, with one exception: one study suggested a higher risk of overall congenital anomalies (adjusted RR [ARR], 1.85; 95% CI, 1.23 to 2.78; N=2,608) and cardiac anomalies (ARR, 2.25; 95% CI, 1.17 to 4.34; N=2,608) for lithium compared with lamotrigine during first- trimester exposure. Conclusions. Few studies have been conducted in pregnant and postpartum women on the benefits of pharmacotherapy; many studies report on harms but are of low quality. The limited evidence available is consistent with some benefit, and some studies suggested increased adverse events. However, because these studies could not rule out underlying disease severity as the cause of the association, the causal link between the exposure and adverse events is unclear. Patients and clinicians need to make an informed, collaborative decision on treatment choices.
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Heyns,, Christof, Rachel Jewkes,, Sandra Liebenberg,, and Christopher Mbazira,. The Hidden Crisis: Mental Health on Times of Covid-19. Academy of Science of South Africa (ASSAf), 2021. http://dx.doi.org/10.17159/assaf.2019/0066.

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[This Report links with the video "The policy & practice of drug, alcohol & tobacco use during Covid-19" http://hdl.handle.net/20.500.11911/171 ]. The COVID-19 pandemic is most notably a physical health crisis, but it strongly affects mental health as well. Social isolation, job and financial losses, uncertainty about the real impact of the crisis, and fear for physical well-being affect the mental health of many people worldwide. These stressors can increase emotional distress and lead to depression and anxiety disorders. At the same time, there are enormous challenges on the health care side. People in need of mental health support have been increasingly confronted with limitations and interruptions of mental health services in many countries. In May 2020, the United Nations already warned that the COVID-19 pandemic has the seeds of a major mental health crisis if action is not taken. The panel discussed and analysed mental health in times of the COVID-19 pandemic with reference to South Africa, Nigeria, Germany and Spain.
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Leavy, Michelle B., Danielle Cooke, Sarah Hajjar, Erik Bikelman, Bailey Egan, Diana Clarke, Debbie Gibson, Barbara Casanova, and Richard Gliklich. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Report on Registry Configuration. Agency for Healthcare Research and Quality (AHRQ), November 2020. http://dx.doi.org/10.23970/ahrqepcregistryoutcome.

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Background: Major depressive disorder is a common mental disorder. Many pressing questions regarding depression treatment and outcomes exist, and new, efficient research approaches are necessary to address them. The primary objective of this project is to demonstrate the feasibility and value of capturing the harmonized depression outcome measures in the clinical workflow and submitting these data to different registries. Secondary objectives include demonstrating the feasibility of using these data for patient-centered outcomes research and developing a toolkit to support registries interested in sharing data with external researchers. Methods: The harmonized outcome measures for depression were developed through a multi-stakeholder, consensus-based process supported by AHRQ. For this implementation effort, the PRIME Registry, sponsored by the American Board of Family Medicine, and PsychPRO, sponsored by the American Psychiatric Association, each recruited 10 pilot sites from existing registry sites, added the harmonized measures to the registry platform, and submitted the project for institutional review board review Results: The process of preparing each registry to calculate the harmonized measures produced three major findings. First, some clarifications were necessary to make the harmonized definitions operational. Second, some data necessary for the measures are not routinely captured in structured form (e.g., PHQ-9 item 9, adverse events, suicide ideation and behavior, and mortality data). Finally, capture of the PHQ-9 requires operational and technical modifications. The next phase of this project will focus collection of the baseline and follow-up PHQ-9s, as well as other supporting clinical documentation. In parallel to the data collection process, the project team will examine the feasibility of using natural language processing to extract information on PHQ-9 scores, adverse events, and suicidal behaviors from unstructured data. Conclusion: This pilot project represents the first practical implementation of the harmonized outcome measures for depression. Initial results indicate that it is feasible to calculate the measures within the two patient registries, although some challenges were encountered related to the harmonized definition specifications, the availability of the necessary data, and the clinical workflow for collecting the PHQ-9. The ongoing data collection period, combined with an evaluation of the utility of natural language processing for these measures, will produce more information about the practical challenges, value, and burden of using the harmonized measures in the primary care and mental health setting. These findings will be useful to inform future implementations of the harmonized depression outcome measures.
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Schnabel, Filipina, and Danielle Aldridge. Effectiveness of EHR-Depression Screening Among Adult Diabetics in an Urban Primary Care Clinic. University of Tennessee Health Science Center, April 2021. http://dx.doi.org/10.21007/con.dnp.2021.0003.

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Background Diabetes mellitus (DM) and depression are important comorbid conditions that can lead to more serious health outcomes. The American Diabetes Association (ADA) supports routine screening for depression as part of standard diabetes management. The PHQ2 and PHQ9 questionnaires are good diagnostic screening tools used for major depressive disorders in Type 2 diabetes mellitus (DM2). This quality improvement study aims to compare the rate of depression screening, treatment, and referral to behavioral health in adult patients with DM2 pre and post-integration of depression screening tools into the electronic health record (EHR). Methods We conducted a retrospective chart review on patients aged 18 years and above with a diagnosis of DM2 and no initial diagnosis of depression or other mental illnesses. Chart reviews included those from 2018 or prior for before integration data and 2020 to present for after integration. Sixty subjects were randomly selected from a pool of 33,695 patients in the clinic with DM2 from the year 2013-2021. Thirty of the patients were prior to the integration of depression screening tools PHQ2 and PHQ9 into the EHR, while the other half were post-integration. The study population ranged from 18-83 years old. Results All subjects (100%) were screened using PHQ2 before integration and after integration. Twenty percent of patients screened had a positive PHQ2 among subjects before integration, while 10% had a positive PHQ2 after integration. Twenty percent of patients were screened with a PHQ9 pre-integration which accounted for 100% of those subjects with a positive PHQ2. However, of the 10% of patients with a positive PHQ2 post-integration, only 6.7 % of subjects were screened, which means not all patients with a positive PHQ2 were adequately screened post-integration. Interestingly, 10% of patients were treated with antidepressants before integration, while none were treated with medications in the post-integration group. There were no referrals made to the behavior team in either group. Conclusion There is no difference between the prevalence of depression screening before or after integration of depression screening tools in the EHR. The study noted that there is a decrease in the treatment using antidepressants after integration. However, other undetermined conditions could have influenced this. Furthermore, not all patients with positive PHQ2 in the after-integration group were screened with PHQ9. The authors are unsure if the integration of the depression screens influenced this change. In both groups, there is no difference between referrals to the behavior team. Implications to Nursing Practice This quality improvement study shows that providers are good at screening their DM2 patients for depression whether the screening tools were incorporated in the EHR or not. However, future studies regarding providers, support staff, and patient convenience relating to accessibility and availability of the tool should be made. Additional issues to consider are documentation reliability, hours of work to scan documents in the chart, risk of documentation getting lost, and the use of paper that requires shredding to comply with privacy.
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Basu, Sayani. The Science of the Psychedelic Renaissance. Science Repository OÜ, May 2021. http://dx.doi.org/10.31487/sr.blog.33.

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There is growing research suggesting psychedelics hold incredible promise for treating mental disorders ranging from depression, anxiety to PTSD and the positive therapeutic effects of psychedelics open up a whole new dimension of medical research.
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MOSKALENKO, OLGA, and ROMAN YASKEVICH. ANXIETY-DEPRESSIVE DISORDERS IN PATIENTS WITH ARTERIAL HYPERTENSION. Science and Innovation Center Publishing House, March 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-1-2-185-190.

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Our article presents a review of the literature and considers the most pressing problem of modern medicine - a combination of anxiety-depressive states in patients with cardiovascular diseases, which are more common in people of working age, having a negative impact on the quality of life of patients, contributing to the deterioration of physical, mental and social adaptation, which further leads to negative socio-economic consequences.
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Capela dos Santos, Denise. A doença mental comum em números, a nível regional e local, em Portugal: ansiedade, demência, depressão e suicídio. Universidade Autónoma de Lisboa, 2016. http://dx.doi.org/10.26619/ual-cee/wp072016.

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