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Depressive Symptoms

Depressive Symptoms: A comprehensive overview of the key characteristics and manifestations of depressive disorders.
This term encompasses a wide range of emotional, cognitive, and physical symptoms that can significantly impact an individual's well-being and daily functioning.
Typical depressive symptoms may include persistent sadness, anhedonia, fatigue, changes in appetite and sleep patterns, feelings of worthlessness or guilt, and recurrent thoughts of death or suicide.
Depressive symptoms can occur in the context of various mental health conditions, such as major depressive disorder, persistent depressive disorder, and bipolar disorder.
Accurate identification and assessment of depressive symptoms are crucial for appropriate diagnosis and effective treatment.
Reseachers can leverage PubCompare.ai's AI-driven comparative analysis to optimize their work on depressive symptoms and identify the most effective and reproducible protocols and products.

Most cited protocols related to «Depressive Symptoms»

Datasets from articles in any language were eligible for inclusion if they included diagnostic classification for current major depressive disorder or major depressive episode on the basis of a validated semistructured or fully structured interview conducted within two weeks of PHQ-9 administration among participants aged 18 years or over who were not recruited from youth or psychiatric settings or because they were identified as having symptoms of depression. We required the diagnostic interviews and PHQ-9 to be administered within two weeks of each other because the Diagnostic and Statistical Manual of Mental Disorders (DSM) and international classification of diseases (ICD) diagnostic criteria for major depression specify that symptoms must have been present in the previous two weeks. We excluded patients from psychiatric settings and those already identified as having symptoms of depression because screening is done to identify previously unrecognized cases.
Datasets in which not all participants were eligible were included if primary data allowed selection of eligible participants. For defining major depression, we considered major depressive disorder or major depressive episode based on the DSM or ICD criteria. If more than one was reported, we prioritized major depressive episode over major depressive disorder, as screening would attempt to detect depressive episodes and further interview would determine whether the episode was related to major depressive disorder or bipolar disorder, and DSM over ICD. Across all studies, there were 23 discordant diagnoses depending on classification prioritization (0.1% of participants).
Two investigators independently reviewed titles and abstracts for eligibility. If either deemed a study potentially eligible, two investigators did full text review independently, with disagreements resolved by consensus, consulting a third investigator when necessary. We consulted translators for languages other than those in which team members were fluent.
Publication 2019
Bipolar Disorder Depressive Symptoms Diagnosis Eligibility Determination Major Depressive Disorder Patients Youth
We estimated polyserial correlations of the global items with the EQ-5D. In addition, we examined item-scale correlations and conducted confirmatory categorical factor analysis (based on polychoric correlations) to evaluate whether the 10 global health items could be combined into a single unidimensional scale. Next, we performed exploratory factor analysis on the matrix of polychoric correlations to identify the number of underlying dimensions. We evaluated the resulting two factors by estimating item-scale correlations and internal consistency reliability. We used Mplus 5.1 software [11 ] to estimate confirmatory categorical factor analysis models, specifying weighted least squares mean and variance estimation. Because of our large sample size we do not rely on the chi-square statistic to evaluate the acceptability of the models. We estimated practical fit of the models using the confirmatory fit index (CFI), Tucker–Lewis index (TLI), and the root mean square error of approximation (RMSEA). We averaged items to form physical and mental health composites and estimated associations of these composites with the EQ-5D and the nine PROMIS domain scores (physical functioning, pain behavior, pain impact, fatigue, anxiety, anger, depressive symptoms, satisfaction with discretionary social activities, satisfaction with social roles). Finally, we estimated item threshold and discrimination parameters for the final physical and mental health scales using the graded response model [12 (link), 13 ]. Based on the item parameters we calculated item information, the contribution of each item to overall test precision [12 (link)]. As an estimate of the contribution of each item to overall test precision, we weighted item-level information values, which are computed as the expected item information across the score distribution of our sample.
Publication 2009
Anger Anxiety Depressive Symptoms Discrimination, Psychology Fatigue Mental Health Pain Physical Examination Plant Roots Satisfaction
For each individual we compared their responses to the 20-item scale to our proposed 10-items. The agreement between the CES-D 20 and CES-D 10 was measured using the spearman correlation coefficient and the kappa statistic with two-tailed probability for statistical significance. Cronbach’s alpha [21] was used to estimate the internal consistency of the items within the scale. A reliability coefficient exceeding 0.70 was considered acceptable. Sensitivity and specificity were calculated for the proposed CES-D 10, with sensitivity being the probability of identifying correctly those participants with significant depressive symptoms, while specificity measured the probability of identifying correctly those participants without significant depressive symptoms. Factor analysis with varimax rotation was conducted to examine the latent structure of the new scale. All analyses were conducted using SAS version 9.1.3 (SAS, Cary, North Carolina, United States) with a level of significance set at 0.05.
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Publication 2012
Depressive Symptoms Hypersensitivity
Demographic data included age (≥14 years), sex, marital and employment status, religion, migrant background, education and total income of household.
The German version of the PSS-10 (PSS-10; [10 (link)]) was used to measure the degree to which life in the past month has been experienced as unpredictable, uncontrollable and overwhelming (e.g. “In the last month, how often have you felt nervous and "stressed"?) on a 5-point response scale (0 = “never”, 1=”almost never”, 2=”sometimes”, 3=”fairly often”, 4=”very often”). The scale was forward translated from English to German and subsequently back translated by two interdependent bilingual speakers. After reversing the scores on the four positively stated items (Items 4, 5, 7, and 8), a PSS-10 total score was obtained by summing up all 10 items. Higher scores indicated a higher level of perceived stress. As the PSS is not a diagnostic instrument, there are no cut-off scores.
In addition to the PSS-10, socio-demographic questions and additional psychological variables were measured by validated and standardized self-report inventories. These included screening questionnaires for depression and generalized anxiety (PHQ-4), the short form of the General Procrastination Scale (GPS-K), the Copenhagen Burnout Inventory (CBI), and the Life Satisfaction Questionnaire (FLZ-M) during the interview.
The PHQ-4 [28 (link)] consists of two items reliably assessing the core symptoms of depressed mood and loss of interest plus two screening items of the short form of the GAD-7 (Generalized Anxiety Disorder [GAD]-7 Scale) : “Feeling nervous, anxious or on edge” and “not being able to stop or control worrying”. The frequency of occurrence in the past two weeks was rated from 0 =”not at all”, 1 =”several days”, 2 =”over half the days”, and 3 =”nearly every day”. Answers of the first two items were added into a total score (0 to 6); a score ≥ 3 has a good sensitivity (87 %) and specificity (78 %) for major depression. Cronbach alpha in the present study was = .83. A sum score ≥ 3 (range 0–6) of the other two items indicates generalized anxiety with good sensitivity (86 %) and specificity (83 %), performing well as a screening tool for all anxiety disorders [29 (link)]. The internal consistency in the current study was Cronbach alpha = .77.
Procrastination was assessed by the 9-item short form of the General Procrastination Scale (GPS-K; [30 (link)]). Participants rated how characteristic they considered each behaviour (e.g. “I delay the completion of certain things”) on a 4-point scale (1=”very uncharacteristic” to 4 = “very characteristic”). The scale showed good reliability and validity in a representative German community sample [30 (link)]. The internal consistency was Cronbach alpha = .92.
The Copenhagen Personal Burnout Inventory (CBI; [31 (link)]) is part of the Copenhagen Psychosocial Questionnaire assessing physical and mental exhaustion, independently from work. It assessed the frequency of six items („How often do you feel …“): “tired, physically, emotionally exhausted, unable to go on, weak and prone to illness.” The items were rated on a 5-point scale 1 =”never/almost never”, 2 = “rarely”, 3 = “occasionally”, 4 = “often” to 5 = “always” (COPSOQ; [32 (link)]). The scale was reliable (Cronbach alpha in the present study = .91).
The Questionnaire on Life Satisfaction FLZM [33 ] is a multi-dimensional self-report measure of individual life satisfaction covering eight relevant areas of life (friends, leisure time activities/hobbies, general health, income, work/career school, housing/living conditions, family life and partnership/sexuality). Additionally, a sum score of all dimensions was used as an index of global life satisfaction. Respondents rated the present satisfaction with these dimensions on a scale from 1 = “dissatisfied” to 5 = “very satisfied”. As the scale bases conceptually on different domains, the life satisfaction sum-scores indicated only sufficient internal consistency (Cronbach alpha = .70).
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Publication 2016
Anxiety Anxiety Disorders Burnout, Psychological Debility Depressive Symptoms Diagnosis Feelings Friend Households Hypersensitivity Major Depressive Disorder Migrants Nervousness Physical Examination Procrastination Satisfaction
Participants from central North Carolina and Texas were recruited in hospital-based outpatient general pediatrics and subspecialty clinics and in public school settings between January 2007 and May 2008. School-based participants were recruited through elementary after school programs as well as middle and high school required health classes. Parental informed consent and minor assent were obtained for all children taking the survey. A more detailed description of the study design is provided elsewhere [9 ].
The PROMIS anxiety and depressive symptoms items were randomly split between two test administration forms (Form 1 contained 9 anxiety items and 10 depressive symptom items; Form 2 contained 9 anxiety items and 11 depressive symptom items). Children were randomly assigned to complete one of the testing forms. Each of the anxiety and depressive symptoms PROMIS pediatric items was administered to at least 759 respondents. This sampling plan was developed for collecting responses to candidate items from the targeted PROMIS domains and accommodated multiple objectives including: (1) confirm the factor structure of the domains; (2) evaluate items for local dependence (LD) and DIF; and (3) calibrate the items for each domain using IRT.
All of these emotional distress items had a 7-day recall period and used standardized 5-point response options (never, almost never, sometimes, often, almost always). Table 1 shows the anxiety and depressive symptoms items administered during the testing.
Publication 2010
Anxiety Child Depressive Symptoms Mental Recall Outpatients Psychological Distress

Most recents protocols related to «Depressive Symptoms»

Questionnaires will be completed through a secure, web-based survey system hosted by the research centre so that participants can complete questionnaires electronically, either at home or during their visit to the research centre. Online questionnaires are sent via a national secure mail platform used by citizens in regular correspondence with public institutions and the health care system.
Measures include several salient domains in the clinical characterisation of the patient, among others, assessments of demographics (e.g., ethnicity, education, and marital status); medical and psychiatric history; depressive symptoms and impact of depression behaviour and day-to-day life; treatment preferences and expectations, life experiences; and a broad range of state and trait psychometrics. Some questionnaires will only be given to patients in subcohorts I-II (Table 2).

Questionaries Additional questionnaires for the subcohort I-II only are in bold

Symptom profile and SeverityCognitive styleUpbringing and life historyFunctioning and quality of life
Inventory of Depressive Symptomatology – self-report (IDS-SR) [34 (link)]Mentalisation Questionnaire (MZQ) [35 (link)]Online Stimulant and Family History Assessment Module (OS-FHAM) [11 (link)]Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA) [36 (link)]
Dimension of Anger Reactions (DAR-5) [37 (link)]Ruminative Response Scale (RRS) [38 (link)]Child abuse and trauma scale (CATS) [39 (link)]Modified Sheehan Disability Score (mSDS)
Generalised Anxiety Disorder 7-item (GAD-7) [40 (link)]Perth Alexithymia Questionnaire (PAQ) [41 (link)]Parental Bonding Instrument (PBI) [42 (link)]WHO 5 wellbeing index (WHO-5)
Cohen's Perceived Stress Scale (PSS) [43 (link)]Mindful Attention Awareness Scale (MAAS) [44 (link)]Stressful Life Events (SLE) [45 (link)]Changes in Sexual Functioning Questionnaire (CSFQ) [46 (link)]
Brief Symptom Inventory (BSI) [47 (link)]Short form of Metacognitions Questionnaire (MCQ-30) [48 (link)]Questions from the Copenhagen Aging and Midlife Biobank (CAMB) [49 (link)]
Symptom checklist (SCL-10) [50 (link)]Coping Self-Efficacy Scale (CSES) [51 (link)]Revised Sociosexual Orientation Inventory (SOI-R) [52 (link)]
Snaith-Hamilton Pleasure Scale (SHAPS) [53 (link)]
Pittsburgh Sleep Quality Index (PSQI) [54 (link)]
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Publication 2023
Abuse, Child Alexithymia Anger Anxiety Disorders Attention Awareness Cognition Disorders Depressive Symptoms Disabled Persons Ethnicity Life Experiences Mentalization Metacognition Mindfulness Parent Patients Pleasure Psychometrics Rumination, Digestive Wounds and Injuries
Patient-reported outcome measures assessing depression symptom severity and clinical status are sent via the national secure mail platform at three time points: 6, 12 and 18 months after treatment start (Table 4). Complete registry follow-up is done at 18 months as well.

Follow-up Measurements aOmitted if the patient did not receive antidepressant medication

Measures6 months12 months18 months
Quick Inventory of Depressive Symptomatology (QIDS-SR)XXX
BSI-18, SCL-10, WHO-5 and mSDSXXX
Patient-Reported Inventory of Side-Effects (PRISE)[51]aXXX
Negative Effects Questionnaire (NEQ)X
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Publication 2023
Aftercare Antidepressive Agents Depressive Symptoms Patients
We selected a series of control variables that may be associated with depressive symptoms, including demographic characteristics [36 (link)–38 (link)] (age, gender, marital status, residence, education), health status and health behaviors [39 –42 ] (self-reported health, activities of daily living scale (ADL), smoking, drinking, sleep duration, chronic disease status), and protective factors [31 (link), 43 (link)–46 ] (health insurance, pension, employment status). For age, we selected people aged 45 and above; for marital status, we reclassified them according to the answers of the questionnaire, and considered married and living with spouse, married but not living with spouse temporarily as married; separated and no longer living with spouse, divorced, widowed, and never married as unmarried. Educational attainment was classified into five categories: no education, elementary school, middle school, high school, and college and above. Since the sleep time showed a skewed distribution, we logarithmically processed the sleep time. For chronic disease prevalence, we divided the population into five categories: no disease, one chronic disease, two chronic diseases, three chronic diseases, and four or more chronic diseases. The detailed coding of the variables is shown in Table 1.

Coding of variables

VariableCoding
Depression< 10 = 0, ≥10 = 1
Levels of depression0 ~ 30
WeChat usageNot using the WeChat =0, Using the WeChat =1
Social participationNo = 0, Yes = 1
Levels of social participation0 ~ 10
Voluntary activitiesNo = 0, Yes = 1
Levels of voluntary activitiesNo = 0, One kind = 1, Two kinds = 2, Three kinds = 3
RecreationNo = 0, Yes = 1
Levels of recreationNo = 0, One kind = 1, Two kinds = 2, Three kinds = 3
Cultural activitiesNo = 0, Yes = 1
Levels of cultural activitiesNo = 0, One kind = 1, Two kinds = 2
Other activitiesNo = 0, Yes = 1
Levels of other activitiesNo = 0, One kind = 1, Two kinds = 2
Age≥45
GenderFemale = 0, Male =1
Marital statusUnmarried = 0, Married = 1
ResidenceRural = 1, Urban = 2
EducationNo formal education = 1, Elementary school = 2, Middle school = 3, High school = 4, College or above = 5
Self-reported healthVery poor = 1, Poor = 2, Fair = 3, Good = 4, Very good = 5
ADLNo impaired = 0, Impaired = 1
Smoke statusStill have = 1, Quit = 2, No = 3
Drink statusNo = 0, Yes = 1
Sleep timeTake the log of sleep time
EmploymentNo = 0, Yes = 1
Pension insuranceNo = 0, Yes = 1
Medical insuranceNo = 0, Yes = 1
Chronic diseasesNo = 0, One kind = 1, Two kinds = 2, Three kinds = 3, Four kinds and more = 4
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Publication 2023
Depressive Symptoms Disease, Chronic Gender Health Insurance Males Sleep Spouse
The dependent variable in this study was depression, which was set as a dichotomous variable based on the CHARLS questionnaire. The 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10), which is a simplified version of The Center for Epidemiologic Studies Depression Scale, is included in the questionnaire of the CHARLS. Each question was scored on a scale of 0–3 (rarely or not at all = 0, not too much = 1, sometimes or half the time = 2, most of the time = 3). The final score was calculated cumulatively, with a total score of 0–30. When the scores were ≥ 10, the respondent was considered to have depressive symptoms, and below 10, the respondent was considered normal. The depression score also reflected the levels of depression in the sample; therefore, the depression was also examined as a continuous variable in this study. The higher the depression score, the higher the levels of depression (Cronbach’s alpha = 0.805).
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Publication 2023
Depressive Symptoms
Self-rated health55 (link) is measured using a 5-point scale (1 = poor, 2 = fair, 3 = good, 4 = very good and 5 = excellent) in response to the question ‘How would you rate your current health?’. Depressive symptoms [20-item Center for Epidemiologic Studies Depression Scale (CES-D)]56 are completed by each participant. Self-rated memory is measured using a 7-point scale in response to the question ‘Overall, how would you rate your memory in terms of the kinds of problems that you have?’. The scores are summarized as 1–3 = major problems, 4 = neutral and 5–7 = no problems.
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Publication 2023
Depressive Symptoms Memory Memory Deficits

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More about "Depressive Symptoms"

Depressive symptoms, also known as symptoms of depression, are a comprehensive range of emotional, cognitive, and physical manifestations that can significantly impact an individual's well-being and daily functioning.
These symptoms may include persistent sadness, lack of interest or pleasure (anhedonia), fatigue, changes in appetite and sleep patterns, feelings of worthlessness or excessive guilt, and recurrent thoughts of death or suicide.
Depressive symptoms can occur in the context of various mental health conditions, such as major depressive disorder (MDD), persistent depressive disorder (dysthymia), and bipolar disorder.
Accurate identification and assessment of depressive symptoms are crucial for appropriate diagnosis and effective treatment.
Researchers can leverage AI-driven comparative analysis platforms like PubCompare.ai to optimize their work on depressive symptoms.
These tools allow researchers to effortlessly locate relevant protocols from literature, pre-prints, and patents, and identify the most effective and reproducible protocols and products.
Statistical software packages like SAS version 9.4, SPSS version 22.0, SPSS version 25, SPSS version 20, SPSS version 26, Stata version 14, SPSS version 24, SPSS version 21, and SPSS version 23 can be used to analyze and interpret data related to depressive symptoms.
By leveraging the power of these tools and the insights gained from PubCompare.ai, researchers can elevate their depressive symptoms research and contribute to a deeper understanding of this complex and impactful condition.