Patterns Of Depressive Symptoms Research Articles

Heterogeneous patterns of problematic smartphone use and depressive symptoms among college students: understanding the role of self-compassion

Heterogeneous patterns of problematic smartphone use and depressive symptoms among college students: understanding the role of self-compassion

Mothers' and their children's emotional and behavioral symptom trajectories and subsequent maternal adjustment: Twenty-seven years of motherhood

BackgroundThis study aims to describe maternal depressive symptoms (MDS) trajectories in a longitudinal study extending from pregnancy to 27 years after the birth of the firstborn child. We also explored the associations of both MDS trajectories and child internalizing and externalizing problem trajectories with maternal adjustment (adaptive functioning, emotional and behavioral problems). MethodsThe population-based study was conducted in Tampere, Finland, and the sample comprised 356 first-time mothers. MDS were screened with the Edinburgh Postnatal Depression Scale during pregnancy, first week after delivery, 2 and 6 months postnatally, and when the child was 4–5, 8–9, 16–17, and 26–27 years of age. The internalizing and externalizing problems of the children were assessed with the Child Behavior Checklist when the child was 4–5, 8–9, and 16–17 years of age. Maternal adaptive functioning and internalizing and externalizing problems were assessed with the Adult Self Report at 26–27 years after the birth of the first child. Complete follow-up data were available for 168 mothers. ResultsWe describe a three-group trajectory model of MDS (High Stable, Low Stable, Very Low). Elevated depressive symptom patterns were associated with less optimal maternal outcomes regarding both adaptive and problem dimensions. The child's internalizing and externalizing problem trajectories were associated with maternal internalizing and externalizing problems but not with maternal adaptive functioning. LimitationsMaternal and child measures were based on maternal reports only. ConclusionsThe interconnectedness of the well-being of the mother and child should be noted in health and mental health services for adults and children.

Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach

BackgroundDepression is a global burden with profound personal and economic consequences. Previous studies have reported that the amount of physical activity is associated with depression. However, the relationship between the temporal patterns of physical activity and depressive symptoms is poorly understood. In this exploratory study, we hypothesize that a particular temporal pattern of daily physical activity could be associated with depressive symptoms and might be a better marker than the total amount of physical activity.MethodsTo address the hypothesis, we investigated the association between depressive symptoms and daily dominant activity behaviors based on 24-h temporal patterns of physical activity. We conducted a cross-sectional study on NHANES 2011–2012 data collected from the noninstitutionalized civilian resident population of the United States. The number of participants that had the whole set of physical activity data collected by the accelerometer is 6613. Among 6613 participants, 4242 participants had complete demography and Patient Health Questionnaire-9 (PHQ-9) questionnaire, a tool to quantify depressive symptoms. The association between activity-count behaviors and depressive symptoms was analyzed using multivariable logistic regression to adjust for confounding factors in sequential models.ResultsWe identified four physical activity-count behaviors based on five physical activity-counting patterns classified by unsupervised machine learning. Regarding PHQ-9 scores, we found that evening dominant behavior was positively associated with depressive symptoms compared to morning dominant behavior as the control group.ConclusionsOur results might contribute to monitoring and identifying individuals with latent depressive symptoms, emphasizing the importance of nuanced activity patterns and their probability of assessing depressive symptoms effectively.

Mental health profiles of depressive symptoms and personal well-being among active-duty military families.

Although some research has examined the mental health of individual family members in military families, additional research is needed that considers mental health among multiple members of the family system simultaneously and that characterizes subsets of families with distinct patterns. Mental health patterns of depressive symptoms and well-being in and among families were identified using latent profile analysis with a community sample of 236 military families with a service member (SM) parent, civilian partner, and adolescent. Drawing from the Family Adjustment and Adaptation Response model, we examined several military-related family demands (e.g., relocations, deployments) and capabilities (e.g., family cohesion, social support outside the family) as correlates of the family profiles. Three profiles emerged: thriving families (62.3% of the sample where all three family members reported relatively low depressive symptoms and high personal well-being), families with a relatively distressed SM (24.2%), and families with a relatively distressed adolescent (13.5%). Overall, there were no differences between the groups of families regarding military-related demands, yet there were differences between the groups regarding their capabilities, namely family cohesion and social support. In general, families in the thriving profile tended to have higher family cohesion and social support as reported by multiple family members compared to the other two profiles. Findings can inform the development of family needs assessments and tailored interventions (and intervention points) based on family profiles and current capabilities.

Trajectories of maternal depressive symptoms from infancy through early childhood: The roles of perceived financial strain, social support, and intimate partner violence.

Although new mothers are at risk of heightened vulnerability for depressive symptoms, there is limited understanding regarding changes in maternal depressive symptoms over the course of the postpartum and early childhood of their child's life among rural, low-income mothers from diverse racial backgrounds. This study examined distinct trajectories of depressive symptoms among rural low-income mothers during the first five years of their child's life, at 6, 15, 24, and 58 months, using data from the Family Life Project (N = 1,292). Latent class growth analysis identified four distinct trajectories of maternal depressive symptoms, including Low-decreasing (50%; n = 622), Low-increasing (26%; n = 324), Moderate-decreasing (13%; n = 156), and Moderate-increasing (11%; n = 131) trajectories. Multinomial logistic regression demonstrated that higher perceived financial strain and intimate partner violence, and lower social support predicted higher-risk trajectories (Low-increasing, Moderate-decreasing, and Moderate-increasing) relative to the Low-decreasing trajectory. Compared to the Low-decreasing trajectory, lower neighborhood safety/quietness predicted to the Low-increasing trajectory. Moreover, lower social support predicted the Moderate-increasing trajectory, the highest-risk trajectory, compared to those in Moderate-decreasing. The current analyses underscore the heterogeneity on patterns of depressive symptoms among rural, low-income mothers, and that the role of both proximal and broader contexts contributing to distinct trajectories of maternal depressive symptoms over early childhood.

Racial And Ethnic Inequities In Postpartum Depressive Symptoms, Diagnosis, And Care In 7 US Jurisdictions.

Understanding whether racial and ethnic inequities exist along the postpartum mental health care continuum is vital because inequitable identification of depression can lead to inequitable referral to and receipt of care. We aimed to expand on existing cross-sectional and single-state data documenting potential racial and ethnic disparities in postpartum depression care. Using early (from two to six months) and late (from twelve to fourteen months) postpartum survey data from seven US jurisdictions, we documented patterns of early postpartum depressive symptoms, perinatal mood and anxiety disorder (PMAD) diagnosis, and receipt of postpartum mental health care overall and by racial and ethnic identity. Of 4,542 people who delivered live births in 2020, 11.8percent reported early postpartum depressive symptoms. Among the sample with these symptoms, only 25.4percent reported receiving a PMAD diagnosis, and 52.8percent reported receiving some form of postpartum mental health care. There were no significant differences in diagnosis by race and ethnicity. Respondents identifying as Asian; Native Hawaiian or Pacific Islander; Southwest Asian, Middle Eastern, or North African; Hispanic; and non-Hispanic Black were significantly less likely than non-Hispanic White respondents to receive mental health care, demonstrating stark inequities in the management of postpartum depressive symptoms. Policies mandating and reimbursing universal postpartum depression screening, facilitating connection to care, reducing insurance coverage gaps, and enhancing clinician training in culturally responsive care may promote equitable postpartum mental health care.

Patterns of gender inequality perception and depressive symptoms among Chinese adults: The mediating role of marital life satisfaction

ObjectivesAs one of the most severe public health issues, depressive symptoms have attracted wide attention around the world. This study aims to investigate the mediating role of marital life satisfaction in the relationship between gender inequality perception and depressive symptoms. MethodsData were obtained from the China Family Panel Studies (CFPS) conducted in 2020. This study incorporated a total of 13,409 married residents aged 20 and above. ResultsThe residents with middle (B = 0.19, 95 % CI = 0.01, 0.40) or high perception of gender inequality (B = 0.55, 95 % CI = 0.34, 0.75) were more likely to develop depressive symptoms. Marital life satisfaction plays a mediating effect in the relationship between patterns of gender inequality perception and depressive symptoms, and the mediating effect accounted for 4.89 % or 1.37 % of the total impact in the residents with middle or high patterns of gender inequality perception. LimitationsFurther studies need to understand the mechanisms of perceived patterns of gender inequality and depressive symptoms, because the cross-sectional design in this study cannot draw causal inferences. ConclusionPatterns of gender inequality perception are significantly associated with depressive symptoms. Marital life satisfaction plays a mediating role in the relationship between patterns of gender inequality perception and depressive symptoms. It is plausible that nurturing healthy marital relationships could mitigate depressive symptoms in individuals who perceive high degrees of gender disparity.

Healthy and Unhealthy Dietary Patterns of Depressive Symptoms in Middle-Aged Women.

Depressive symptoms are a common menopausal feature in middle-aged women and are associated with dietary factors. This study aimed to determine the association between dietary patterns and depressive symptoms in 2190 Korean women aged 45-69 years. Depressive symptoms were screened using the Beck Depression Inventory-II (BDI-II), and food intake was examined using a food frequency questionnaire. Dietary patterns were derived from principal components analysis and identified two dietary patterns: a "healthy" dietary pattern (high intake of whole-grain rice, legumes, vegetables, fruits, and fish) and an "unhealthy" dietary pattern (high intake of noodles, dumplings, sweets, red meat, soda, and coffee). After adjusting for all confounding factors, those with the highest healthy dietary pattern scores had a 0.56-fold lower risk of depressive symptoms than those with the lowest score (Odds Ratio (OR) = 0.56, 95% confidence interval (CI): 0.37-0.84, p for trend = 0.006). Conversely, those with the highest unhealthy pattern scores had a 1.85-fold higher risk of depressive symptoms than that of those in the lowest quartile (OR = 1.85, 95% CI: 1.30-2.63, p for trend = 0.002). In middle-aged women, a dietary pattern of high intake of fiber-rich whole-grain rice, fruits, vegetables, and legumes may help prevent and manage depressive symptoms.

The association between functional disability and depressive symptoms among older adults: Findings from the China Health and Retirement Longitudinal Study (CHARLS)

BackgroundPrevious research has shown that depressive symptoms in older adults was associated with functional disability, including basic activities of daily living (BADLs) and instrumental activities of daily living (IADLs). However, little is known about the impact of different patterns of functional disability and new-onset functional disability on subsequent depressive symptoms. ObjectiveTo determine the effect of various patterns of functional disability and new-onset functional disability on depressive symptoms among Chinese older adults aged 60 years and above. MethodThe study included 3242 older adults from the China Health and Retirement Longitudinal Study (CHARLS), which was conducted from 2011 to 2018. Cox proportional hazards models were used to investigate the associations between patterns of functional disability and depressive symptoms. The associations were also examined in the population with new-onset functional disability. ResultDuring 15,321 person-years of follow-up, 946 depressive symptoms occurred. The hazard ratios (HRs) of depressive symptoms were 1.29 (95 % confidence intervals [CI]: 1.05–1.58) for IADLs disability, 1.22 (95 % CI: 0.75–1.55) for BADLs disability, and 1.78 (95 % CI: 1.41–2.22) for both IADLs and BADLs disabilities. In the analysis of new-onset functional disability, the HRs were 1.50 (95 % CI: 1.06–2.13) for onset IADLs disability, 1.28 (95 % CI: 0.85–1.91) for onset BADLs disability, and 1.69 (95 % CI: 1.03–2.76) for both onset BADLs and IADLs disabilities. LimitationsDepressive symptoms were assessed using the Centre for Epidemiological Studies Depression Scale, which has limitations in diagnosing clinical depression. ConclusionFunctional disability increases the risk of depressive symptoms, particularly impaired IADLs function. Psychological care for older adults with functional disability should be strengthened.

Latent Profile Analysis of Cognitive Performance and Depressive Symptoms Among People with HIV.

Depression and cognitive impairment are prevalent conditions among people with HIV (PWH), likely attributable to shared causes and common risk factors. Identifying subtypes of PWH with similar patterns of neurocognitive impairment (NCI) and depressive symptoms may inform development of patient-centered interventions that target-specific profiles. This study aimed to (1) classify PWH based on patterns of domain-specific NCI and depression; and (2) determine the relationship between latent class membership and pertinent clinical characteristics. PWH (N = 580, 86.2% male, 57.1% non-Hispanic White, 69.2% unemployed) completed a comprehensive neuropsychological test battery assessing global and domain-specific cognition. Domain-specific NCI was classified as deficit score >0.5. Participants completed the Beck Depression Inventory-II (BDI-II), and domain-specific BDI-II scores reflecting cognitive, affective, and somatic symptoms were computed. Latent profile analysis (LPA) was used to determine latent subgroups of NCI and depression. The optimal LPA solution consisted of five classes: minimal NCI and minimal depression (Class 1), amnestic and minimal depression (Class 2), severe multi-domain NCI and moderate depression (somatic and affective; Class 3), mild NCI and mild depression (Class 4), and moderate multi-domain NCI and severe depression (Class 5). Despite similar levels of functional impairment, Class 5 had a significant psychiatric profile, whereas Class 3 had a complex medical profile (i.e., higher frailty index, higher medications, greater proportion of AIDS diagnosis). In contrast, Class 1 had the lowest medication use and frailty index, with similar HIV disease characteristics to Classes 3 and 5. Our results suggest there are multiple pathways to cognitive and functional impairment among PWH with co-occurring depression and cognitive impairment, and these groups may respond differently to interventions. Of note, our sample was majority non-Hispanic White and male, which is nonrepresentative of the US population of PWH. Future interventions should consider a more integrated, person-centered approach that addresses cognitive and emotional health to optimize health outcomes in PWH.

Psychosocial Factors Associated with dizziness and chronic dizziness: a nationwide cross-sectional study.

Dizziness is a common symptom in adults, and chronic dizziness, such as persistent postural-perceptual dizziness, is also frequently reported and affects the quality of life of patients. This study aimed to identify psychosocial factors related to dizziness and chronic dizziness in a large-scale nationwide cohort. This population-based cross-sectional study used the database of the Eighth Korea National Health and Nutrition Examination Survey in 2020. Data from 4,147 adults over 40 years old were analyzed, and 1,102 adults who experienced dizziness were included in the dizziness cohort. Demographic data, medical conditions, comorbidities, functional status variables, nutritional variables and psychological variables were collected. The pattern of depressive symptoms according to the severity of dizziness was analyzed by network analysis. The prevalence rate of dizziness was 24.6% in the general population, and chronic dizziness (≥ 3 months) developed in 210 of 1,102 (17.1%) individuals who experienced dizziness. Multiple logistic regression analysis revealed that female sex, stress, and depression were associated with dizziness. Chronic dizziness was related to tympanic abnormalities, diabetes, short sleep duration, and higher levels of stress and depression. Psychomotor retardation/agitation was a central symptom of depression in patients with chronic dizziness. This study found sex differences in factors associated with dizziness and identified psychosocial factors linked to chronic dizziness. Focusing on somatic factors rather than depressive symptoms may benefit patients with chronic dizziness.

ASSESSING SYMPTOM NETWORKS OF DEPRESSIVE SYMPTOMS IN OLDER ADULTS: A CROSS-NATIONAL POPULATION-BASED STUDY

Abstract Background The complex relationships across depressive symptoms in older adults may differ across countries. We aimed to generate symptom networks of depressive symptoms in older adults and explore different patterns of depressive symptoms across countries from a mechanism perspective. Methods We used harmonized data on 126,025 individuals ≥65 yrs from the Health and Retirement Study (HRS) family data from US, Mexico, UK, China, Israel, European countries, and Korea. We constructed dynamic networks with eight depressive symptoms using cross-lagged panel network analysis. Results We identified two patterns in the networks of depressive symptoms: sadness-centered pattern and non-sadness-centered pattern. In the sadness-centered pattern, “felt sad” was the strongest predictor of other depressive symptoms in the United State (rs=4.38), Mexico (rs=4.96), and European and Israel (rs=4.61). Moreover, “felt depression” was found to have strong relationship with “felt sad” (r=0.586, 0.599, and 0.598, respectively). In the non-sadness-centered pattern, “bothered by little things” had the highest node strength in England (rs=8.16) and “could not get going” had the highest node strength in Korea (rs=10.18). Discussion Our study demonstrated two patterns in the networks of depressive symptoms in older adults. In the sadness-centered pattern, a combined intervention for analyzing the cause of sadness and alleviating it should be considered. Keywords: Global health; Depression; Older adults; Symptom network

Comorbidity Patterns of Posttraumatic Stress Disorder and Depression Symptoms: Cross-Validation in Two Postearthquake Child and Adolescent Samples

Background. Children and adolescents who have been exposed to a major natural disaster are more likely to suffer from posttraumatic stress disorder (PTSD) and depression. However, only a few studies have examined comorbidity patterns at the symptom level. Furthermore, researchers should validate their findings using multiple samples to address the psychological reproducibility challenge. Methods. The Child PTSD Symptom Scale (CPSS) and Center for Epidemiological Studies Depression Scale for Children (CES-DC) were administered to two postearthquake child and adolescent samples (Wenchuan earthquake, N = 1506 ; Ya’an earthquake, N = 720 ). Each sample was followed up twice. Comorbidity patterns were characterized by cross-lagged panel network analysis (CLPN), and communities were determined by bootstrap exploratory graphical analysis (bootEGA). Results. Except for having difficulty remembering important aspects of the trauma, the remaining dysphoria symptoms could be considered bridge symptoms between PTSD and depression. Most often, intrusive and avoidant symptoms clustered together, whereas dysphoria symptoms tended to cluster with depressive symptoms. The relationship between PTSD and depression was reciprocal; within PTSD, intrusive symptoms often triggered avoidance symptoms. The correlation coefficient between the two networks was 0.70, and the correlation coefficient of node centrality was 0.55. Findings. The association between dysphoria symptoms and depression was strong, and intrusive symptoms constituted the core symptoms of PTSD. Depression and PTSD were causally related, explaining the high comorbidity rates. Two sample networks had similar global characteristics but different local characteristics. The conclusions can be generalized to some extent.

Coping Responses in the Context of Family Stress Moderate the Association Between Childhood Anxiety and Adolescent Depressive Symptoms.

Anxiety and depressive symptoms are common and highly interrelated. A relatively consistent temporal pattern of anxious and depressive symptoms has emerged from previous studies, such that the development of anxiety tends to precede and predict the development of depression rather than the other way around. Whether high levels of childhood anxiety predict depressive symptoms in late adolescence may depend, in part, on the ways in which children cope with stressful events. Accordingly, the present study used latent intercept models to examine involuntary and voluntary coping responses to familial stress as potential moderators of the association between childhood anxiety and adolescent depressive symptoms. Two hundred twenty-seven participants completed questionnaires measuring demographic variables as well as anxiety, depressive symptoms, and coping responses at a minimum of one time point over four waves of data collection (T1 Mage = 10.26years, T2 Mage = 15.77years, T3 Mage = 16.75years, T4 Mage = 17.68years). We found that childhood anxiety was positively associated with adolescent depressive symptoms when children reported higher levels of involuntary responses to family stress (e.g., rumination or physiological arousal) in conjunction with either lower levels of voluntary engaged responses (e.g., problemsolving or emotion regulation) or higher levels of voluntary disengaged responses (e.g., avoidance or denial). These results shed light on the conditions under which childhood anxiety is associated with adolescent depressive symptoms and underscore the need for continued longitudinal and developmental research on this topic.

Adolescent Depression Symptom Trajectories Detected Via Universal Screening in Pediatric Primary Care.

Unique trajectories of adolescent depression symptoms have been identified, yet less is known about whether such patterns translate to real-world clinical settings. Because annual adolescent depression screening is becoming more prevalent in primary care, we examined whether longitudinal patterns of depression symptoms documented in the developmental psychopathology literature can also be detected via routine screening in primary care and explored how membership in the identified trajectories varied based on concurrent suicide risk and sociodemographic factors. A total of 1,359 adolescents aged 12-16 years old at the first timepoint were included in the current analyses. These adolescents completed three depression screeners during their well-visits in a large pediatric primary care network between November 15, 2017 and February 1, 2020. Retrospective electronic health record data were extracted, including sociodemographic variables and depression screening results. Dynamic functional time series clustering results indicated the optimal number of clusters was five. The five depression symptom trajectories were: (1) A-Shaped (i.e., relatively low depression symptoms at Time 1, a substantial increase in symptoms at Time 2, and a return to low symptoms at Time 3), (2) Increasing, (3) Low-Stable, (4) High-Decreasing, and (5) Low-Decreasing. Cluster differences in suicide risk largely mapped onto depression symptom levels at each assessment. We found cluster differences based on practice location, insurance type, and adolescent race. The symptom trajectories observed in this study resemble those found in the developmental psychopathology literature, though some key differences were noted. Findings can inform future research and symptom monitoring in primary care.

Are Physical and Depressive Symptoms Different Between Women and Men With Heart Failure?: An Exploration Using Two Analytic Techniques.

Adults with heart failure (HF) experience a constellation of symptoms; however, understanding of gender differences in HF symptoms remain elusive. The aim of this study was to determine whether there are gender differences in physical and depressive symptoms and symptom patterns in HF using 2 different analytic techniques. We performed a secondary analysis of combined data from 6 studies of adults with HF. Physical symptoms were measured with the HF Somatic Perception Scale, and depressive symptoms were measured with the Patient Health Questionnaire-9. First, we performed propensity matching with the nearest neighbor to examine the average treatment effect for HF Somatic Perception Scale and Patient Health Questionnaire-9 in the matched sample of women and men. Next, we used the entire data set in a latent class mixture model to determine patterns of symptoms. Finally, we calculated predictors of class membership with multinomial logistic regression. The sample (n = 524, 86.5% systolic HF) was 37% women with a mean age of 58.3 ± 13.9 years and mean number of years with HF of 6.9 ± 6.9. Three hundred sixty-six participants were matched on propensity scores; there were no significant gender differences in symptom scores between matched women (n = 183) and men (n = 183). Among all 524 participants, 4 distinct latent classes of symptom patterns indicate that many patients with HF are fatigued, some have more depressive symptoms, and others have significantly more edema or cough. Gender did not predict membership to any symptom pattern. There were significant gender differences in sociodemographics, health behaviors, and clinical characteristics, but not HF symptoms or symptom patterns, using either analytic technique.

Subgroups of depressive symptoms in Korean police officers: A latent class analysis

The prevalence of depressive symptoms is common among police officers; however, studies that identify the patterns of depressive symptoms in police officers and occupational characteristics related to the specific subgroups of depressive symptoms are scarce. A total of 493 police officers in South Korea participated in this descriptive cross-sectional study between October and December 2019. Depressive symptoms were measured using the Patient Health Questionnaire-9. Latent class analysis was used to identify the subgroups of depressive symptoms. To identify the characteristics and predictors of the subgroup, χ2 tests, analysis of variance, and multinomial logistic regression analysis were performed. Four latent classes of depressive symptoms were identified: “at-risk” (10.8%), “anhedonic” (21.5%), “somatic” (17.2%), and “minimal” (50.5%). Compared to the minimal group, drinking behaviors were higher in the at-risk group (odds ratio [OR] = 1.10, 95% confidence interval [CI] [1.03, 1.11]), and working hours were greater in the somatic group (OR = 1.01, 95% CI [1.00, 1.02]). Additionally, sleep quality (OR = 1.35, 95% CI [0.82, 2.22]) and fatigue (OR = 1.02, 95% CI [1.00, 1.04]) were found to be related in the anhedonic group. This study identified the heterogeneity of depressive symptoms among police officers. It is necessary to accurately identify the factors associated with the depression subgroups of police officers to develop support strategies and prevent an increase in their depression severity. The association between risk factors such as working hours and drinking behaviors might inform strategies to reduce depression in police offers.

Bullying Victimization and Comorbid Patterns of PTSD and Depressive Symptoms in Adolescents: Random Intercept Latent Transition Analysis.

Many studies have examined post-traumatic stress disorder (PTSD) or depressive symptoms in adolescents under the background of school bullying, but not their comorbidities and changes over time. This study used random intercept latent transition analysis (RI-LTA) to examine the transitions in comorbid patterns of PTSD and depressive symptoms among 815 adolescents (45.0% boys; Mage-baseline = 13.69, SD = 1.60), who reported their symptoms in a 3-year longitudinal study. Three comorbid patterns were found: low symptoms, predominantly PTSD symptoms, and symptoms of comorbidity. Among these patterns, five trends were found through 3 years: stable low symptoms, stable PTSD symptoms, improving symptoms, worsening symptoms, and an inverted-U pattern. Age, time that parents spend with their child, being an only child, family income and experiencing relational bullying were predictors of these transitions. These suggest that patterns of PTSD and depressive symptoms are heterogeneous and may change over time since trauma events. Developing targeted interventions based on underlying factors through distinct patterns and transitions may help us better optimize and utilize intervention resources to alleviate symptoms from bullying victims.

Https://www.azpharmjournal.com/en/2023-vol-22-issue-1/etanercept-mitigated-renal-injury-in-male-rats-undergoing-global-renal-ischemia-reperfusion/

Depression and anxiety often coexist during pregnancy, potentially increasing the risk of adverse delivery outcomes like preterm birth and low birth weight. However, our understanding of the frequency, patterns, and factors influencing comorbid anxiety and depression is limited, especially in low- and middle-income countries. This study aims to: (1) explore the prevalence and patterns of prenatal anxiety and depressive symptoms among pregnant women in the mild-to-severe and moderate-to-severe categories; (2) examine the prevalence and patterns of antenatal anxiety and depressive symptoms among pregnant women in the mild-to-severe category; (3) investigate the association between frequent folic acid use and prenatal anxiety and depression symptoms. The study adopted a retrospective cohort approach and enrolled a diverse sample of 500 pregnant women receiving care at the Women and Children’s Hospital in various locations across the center and south of Iraq. Results indicated that women who did not consume folic acid during pregnancy exhibited higher rates of comorbid anxiety and depression. Specifically, this pattern was observed among women in the age range of 20 to 29 years, those with a university degree, and those who had more than two previous children.

The Longitudinal Features of Depressive Symptoms During the COVID-19 Pandemic Among Chinese College Students: A Network Perspective.

There is substantial evidence that the Corona Virus Disease 2019 (COVID-19) pandemic increased the risk of depressive symptoms among college students, but the long-term features of depressive symptoms on a symptom level have been poorly described. The current study investigated interaction patterns between depressive symptoms via network analysis. In this longitudinal study, participants included 860 Chinese college students (65.8% female; Mage = 20.6, SDage = 1.8, range: 17-27) who completed a questionnaire at three-time points three months apart. Results demonstrated that fatigue was the most influential symptom, and the occurrence of fatigue could give rise to other depressive symptoms. In addition to predicting other symptoms, fatigue could be predicted by other symptoms in the measurement. The network structures were similar across time, suggesting that the overall interaction pattern of depressive symptoms was stable over the longitudinal course. These findings suggest that depressive symptoms during the COVID-19 period are associated with the presence of fatigue.