Long-term Depressive Symptoms Research Articles

The Holocaust Experience and Its Role in the Association Between Meaning in Life, Depressive Symptoms and Life Satisfaction

ABSTRACT Holocaust survivors often reveal long-term depressive symptoms, while demonstrating life satisfaction. The present study examined the role of meaning in life (MIL) of Holocaust survivors in this context. Survivors (n = 44) and comparisons (n = 51) provided background information and completed MIL, depressive symptoms, and life satisfaction scales. MIL was associated with lower depressive symptoms and higher life satisfaction. Moreover, the MIL-depressive symptoms/life satisfaction links were stronger among Holocaust survivors. Results provide insight for tailoring treatment interventions for older adults who have been exposed to prolonged traumatic experiences or genocide, that focus on MIL, to enhance mental health.

Relationship between social inequality perception patterns and depressive symptoms among Chinese adults: A national representative longitudinal study.

The rising prevalence of depressive symptoms presents a pressing global public health concern, exacerbated by prevailing social inequality. This study seeks to identify latent profiles of social inequality perception and explore their associations with depressive symptoms. Data were obtained from the China Family Panel Studies (CFPS) involving 10,529 residents aged 18 years and above. Latent profile analysis (LPA) was used to identify different patterns of social inequality perception. Multiple linear regression analysis examined the links between these patterns and depressive symptoms. Three distinct patterns of social inequality perception were identified: the disappointed pattern (TDP), the neutral pattern (TNP), and the positive pattern (TPP). Perceived social inequality was significantly associated with short-term and long-term depressive symptoms (β = .51, 95% CI [0.29, 0.72] vs. β = .51, 95% CI [0.27, 0.74]). Increases in social inequality perception patterns were also related to more severe depressive symptoms (β = .55, 95% CI [0.36, 0.74]). Increasing perceived social inequality is closely linked to elevated depressive symptoms in Chinese adults. This underscores the need for tailored strategies aimed at addressing heightened perceptions of social inequality to reduce the risk of depressive symptoms.

Association between long-term sedentary behavior and depressive symptoms in U.S. adults

The study aimed to investigate the association between long-term sedentary behavior (LTSB) and depressive symptoms within a representative sample of the U.S. adult population. Data from NHANES 2017–2018 were used, encompassing information on demographics, depressive symptoms, physical activity (PA), and LTSB. Depressive symptoms were identified using the Patient Health Questionnaire (PHQ-9), with “depressive symptoms” defined as a PHQ-9 score of ≥ 5, and “moderate to severe depressive symptoms (MSDS)” defined as a PHQ-9 score of ≥ 10. PA and LTSB were assessed through the Global Physical Activity Questionnaire, where LTSB was interpreted as sedentary time ≥ 600 min. Restricted Cubic Spline (RCS) curves were utilized to observe potential nonlinear relationships. Binary Logistic regressions were conducted to analyze the associations. A total of 4728 participants (mean age 51.00 ± 17.49 years, 2310 males and 2418 females) were included in the study. Among these individuals, 1194 (25.25%) displayed depressive symptoms, with 417 (8.82%) exhibiting MSDS. RCS curves displayed increased risk of depressive symptoms with prolonged sedentary duration. Logistic regression models indicated significant associations between LTSB and depressive symptoms (OR 1.398, 95% CI 1.098–1.780), and LTSB and MSDS (OR 1.567, 95% CI 1.125–2.183), after adjusting for covariates. These findings suggest that LTSB may act as a potential risk factor for both depressive symptoms and MSDS in the studied population.

Delineating the impact of childhood traumatic brain injury (TBI) on long-term depressive symptom severity: Does sub-acute brain morphometry prospectively predict 2-year outcome?

Despite evidence of a link between childhood TBI and heightened risk for depressive symptoms, very few studies have examined early risk factors that predict the presence and severity of post-injury depression beyond 1-year post injury. This longitudinal prospective study examined the effect of mild-severe childhood TBI on depressive symptom severity at 2-years post-injury. It also evaluated the potential role of sub-acute brain morphometry and executive function (EF) in prospectively predicting these long-term outcomes. The study involved 81 children and adolescents with TBI, and 40 age-and-sex matched typically developing (TD) controls. Participants underwent high-resolution structural magnetic resonance imaging (MRI) sub-acutely at five weeks post-injury (M = 5.55; SD = 3.05 weeks) and EF assessments were completed at 6-months post-injury. Compared to TD controls, the TBI group had significantly higher overall internalizing symptoms and were significantly more likely to exhibit clinically significant depressive symptoms at 2-year follow-up. The TBI group also displayed significantly lower EF and altered sub-acute brain morphometry in EF-related brain networks, including the default-mode network (DMN), salience network (SN) and central executive network (CEN). Mediation analyses revealed significant indirect effects of CEN morphometry on depression symptom severity, such that lower EF mediated the prospective association between altered CEN morphometry and higher depression symptoms in the TBI group. Parallel mediation analyses including grey matter morphometry of a non-EF brain network (i.e., the mentalising network) were not statistically significant, suggesting some model specificity. The findings indicate that screening for early neurostructural and neurocognitive risk factors may help identify children at elevated risk of depressive symptoms following TBI. For instance, children at greatest risk of post-injury depression symptoms could be identified based in part on neuroimaging of networks implicated in EF and post-acute assessments of executive function, which could support more effective allocation of limited intervention resources.

Depressive Symptoms and Their Mechanisms: An Investigation of Long-Term Patterns of Interaction Through a Panel-Network Approach

The dynamic interaction between depressive symptoms, mechanisms proposed in the metacognitive-therapy model, and loneliness across a 9-month period was investigated. Four data waves 2 months apart were delivered by a representative population sample of 4,361 participants during the COVID-19 pandemic in Norway. Networks were estimated using the newly developed panel graphical vector-autoregression method. In the temporal network, use of substance to cope with negative feelings or thoughts positively predicted threat monitoring and depressed mood. In turn, threat monitoring positively predicted suicidal ideation. Metacognitive beliefs that thoughts and feelings are dangerous positively predicted anhedonia. Suicidal ideation positively predicted sleep problems and worthlessness. Loneliness was positively predicted by depressed mood. In turn, more loneliness predicted more control of emotions. The findings point at the theory-derived variables, threat monitoring, beliefs that thoughts and feelings are dangerous, and use of substance to cope, as potential targets for intervention to alleviate long-term depressive symptoms.

Outdoor light at night and depressive symptoms in male veterans: a multicenter cross-sectional study in China

ABSTRACT Previous studies have indicated depression was associated with environmental exposures, but evidence is limited for the association between outdoor light at night (LAN) and depression. This study aims to examine the association between long-term outdoor LAN exposure and depressive symptoms using data from the Chinese Veteran Clinical Research platform. A total of 6445 male veterans were selected from 277 veteran communities in 18 cities of China during 2009‒2011. Depressive symptoms were evaluated using the Chinese version of the Center for Epidemiological Studies Depression scale. Outdoor LAN was estimated using the Global Radiance Calibrated Nighttime Lights data. The odds ratio and 95% confidence intervals of depressive symptoms at the high level of outdoor LAN exposure against the low level during the 1 years before the investigation was 1.49 (1.15, 1.92) with p-value for trend < 0.01, and those associated with per interquartile range increase in LAN exposure was 1.22 (1.06, 1.40).

Coronavirus disease 2019 is associated with long-term depressive symptoms in Spanish older adults with overweight/obesity and metabolic syndrome.

The coronavirus disease 2019 (COVID-19) has serious physiological and psychological consequences. The long-term (>12 weeks post-infection) impact of COVID-19 on mental health, specifically in older adults, is unclear. We longitudinally assessed the association of COVID-19 with depression symptomatology in community-dwelling older adults with metabolic syndrome within the framework of the PREDIMED-Plus cohort. Participants (n = 5486) aged 55-75 years were included in this longitudinal cohort. COVID-19 status (positive/negative) determined by tests (e.g. polymerase chain reaction severe acute respiratory syndrome coronavirus 2, IgG) was confirmed via event adjudication (410 cases). Pre- and post-COVID-19 depressive symptomatology was ascertained from annual assessments conducted using a validated 21-item Spanish Beck Depression Inventory-II (BDI-II). Multivariable linear and logistic regression models assessed the association between COVID-19 and depression symptomatology. COVID-19 in older adults was associated with higher post-COVID-19 BDI-II scores measured at a median (interquartile range) of 29 (15-40) weeks post-infection [fully adjusted β = 0.65 points, 95% confidence interval (CI) 0.15-1.15; p = 0.011]. This association was particularly prominent in women (β = 1.38 points, 95% CI 0.44-2.33, p = 0.004). COVID-19 was associated with 62% increased odds of elevated depression risk (BDI-II ≥ 14) post-COVID-19 when adjusted for confounders (odds ratio; 95% CI 1.13-2.30, p = 0.008). COVID-19 was associated with long-term depression risk in older adults with overweight/obesity and metabolic syndrome, particularly in women. Thus, long-term evaluations of the impact of COVID-19 on mental health and preventive public health initiatives are warranted in older adults.

Identification of postpartum symptom subgroups and associated long-term maternal depressive symptoms and well-being.

Many postpartum women experience postpartum symptoms which often occur in clusters (i.e., three or more co-occurring symptoms that are related to each other). To date, research has focused on individual symptoms, which limits our understanding of how postpartum symptom clusters manifest and influence health. This secondary analysis used the Community and Child Health Network study data (N = 1784). No patient or public directly participated or contributed to the current analysis. Guided by the Symptom Management Theory, latent class analysis was performed to identify subgroups of postpartum women with different symptom experiences using observed variables at 6 months postpartum: anxiety (MINI-anxiety), general stress (PSS-10), posttraumatic stress (PCL-C), postpartum depression (EPDS), sleep disturbance (PSQI-sleep disturbance), and sleep duration (PSQI-sleep duration). Bivariate and multiple regression analyses were conducted to examine the association between subgroups and (a) individual characteristics and (b) long-term depressive symptoms (CES-D-9) and well-being at 18 and/or 24 months postpartum. Five subgroups were selected that had better-fit indices, entropy, and interpretability. Subgroups were labeled as (1) Minimum overall, (2) Mild-moderate overall, (3) Moderate-high sleep symptoms, (4) High psychological symptoms, and (5) High overall. After adjusting for covariates, postpartum women in Subgroups 4 and 5 had higher CES-D-9 scores at 18 and 24 months and lower well-being scores at 24 months. More postpartum women in Subgroups 4 and 5 experienced a history of depression or unemployment. Clinicians should provide targeted interventions for postpartum women in high-symptom subgroups.

An Investigation of the Cumulative Effects of Depressive Symptoms on the Cognitive Function in Community-Dwelling Older Adults: Analysis of the Korean Longitudinal Study of Aging

This study investigated the cumulative effects of depressive symptoms on cognitive function over time in community-dwelling older adults. Data were investigated from 2,533 community-dwelling older adults who participated in the Korean Longitudinal Study of Aging (KLoSA) from the 5th (2014) to the 8th wave (2020). The association between cumulative depressive symptoms and cognitive function was identified through multiple regression analysis. When the multiple regression analysis was conducted from each wave, the current depressive symptoms scores and cognitive function scores were negatively associated, regardless of the waves (B5th = -0.26, B6th = -0.26, B7th = -0.26, and B8th = -0.27; all p < .001). Further, when all the previous depressive symptoms scores were added as explanatory variables in the 8th wave, the current one (B8th = -0.09, p < .001) and the previous ones (B5th = -0.11, B6th = -0.09, and B7th = -0.13; all p < .001) were also negatively associated with the cognitive function score. The delta R², which indicates the difference between the model's R² with and without the depressive symptoms scores, was greater in the model with all the previous and current depressive symptoms scores (6.4%) than in the model with only the current depressive symptoms score (3.6%). Depressive symptoms in older adults have a long-term impact. This results in an accumulated adverse effect on the cognitive function. Therefore, to prevent cognitive decline in older adults, we suggest detecting their depressive symptoms early and providing continuous intervention to reduce exposure to long-term depressive symptoms.

Depressive symptom trajectories and new-onset arthritis in a middle-aged and elderly Chinese population

ObjectivePrevious studies reported that depression was associated with a high risk of arthritis. However, the effect of different long-term depressive symptom trajectory patterns on the risk of arthritis has not been evaluated. Our study aimed to explore the association between depressive symptom trajectories and the risk of arthritis. MethodsA total of 5583 participants from the China Health and Retirement Longitudinal Study from 2011 to 2018 were included in this analysis. Group-based trajectory modeling was used to identify depressive symptom trajectories, and a multivariable competitive Cox regression model was used to examine the association of depressive symptom trajectories with arthritis during follow-up. ResultsFive depressive symptom trajectories were identified in our research: stable-high, decreasing, increasing, stable-moderate and stable-low. Compared with participants in the stable-low trajectory group, those in the stable-moderate, increasing, decreasing and stable-high trajectory groups had a higher cumulative risk of arthritis, with HRs (95% CIs) for arthritis of 1.64 (1.30, 2.07), 1.86 (1.30, 2.66), 1.99 (1.41, 2.80) and 2.19 (1.38, 3.48), respectively. Participants with the stable-high symptoms trajectory had the highest cumulative risk of arthritis. There was still a high risk of arthritis, although the depression state was reduced and remained at a level that is generally considered reasonable. ConclusionsThe higher depressive symptoms trajectories were significantly associated with the increased risk of arthritis, and the long-term depressive symptoms trajectories may be a strong predictor of having arthritis.

Long-Term Apparent Temperature, Extreme Temperature Exposure, and Depressive Symptoms: A Longitudinal Study in China.

Temperature is increasingly understood to impact mental health. However, evidence of the long-term effect of temperature exposure on the risk of depressive symptoms is still scarce. Based on the China Health and Retirement Longitudinal Study (CHARLS), this study estimated associations between long-term apparent temperature, extreme temperature, and depressive symptoms in middle-aged and older adults. Results showed that a 1 °C increase or decrease from optimum apparent temperature (12.72 °C) was associated with a 2.7% (95% CI: 1.3%, 4.1%) and 2.3% (95% CI: 1.1%, 3.5%) increased risk of depressive symptoms, respectively. This study also found that each percent increase in annual change in ice days, cool nights, cool days, cold spell durations, and tropical nights was associated with higher risk of depressive symptoms, with HRs (95%CI) of 1.289 (1.114-1.491), 2.064 (1.507-2.825), 1.315 (1.061-1.631), 1.645 (1.306-2.072), and 1.344 (1.127-1.602), respectively. The results also indicated that people living in northern China have attenuated risk of low apparent temperature. Older people were also observed at higher risk relating to more cool nights. Middle-aged people, rural residents, and people with lower household income might have higher related risk of depressive symptoms due to increased tropical nights. Given the dual effect of climate change and global aging, these findings have great significance for policy making and adaptive strategies for long-term temperature and extreme temperature exposure.

Identity gripping or identity flight? Two distinct experiences correlated with self-reported depression in retired professional ice hockey players

ABSTRACTThis study presents qualitative data on the retirement experiences of retired professional ice hockey players and the relationship of these experiences to self-reported depressive symptoms and measures of athletic identity. Data were obtained from an online survey sent to retired professional hockey players within the Professional Hockey Players’ Association (PHPA) database. A total of 213 retired players completed the qualitative section of the survey and were included in the study. Former players expressed an array of responses to questions about the best and most difficult parts of their athletic retirement experiences, and what they believe would help future generations of retiring hockey players. Within these responses, there were two distinct patterns of identity-based challenges among depressed former players. One subset of depressed former players, captured by our proposed term athletic identity flight, scored lower in athletic identity, and emphasized positive aspects of retirement related to “building a new identity.” A second subset of depressed former players, who we described with the term athletic identity gripping, noted an identity crisis upon retiring and retained a strong athletic identity post-career. Non-depressed former players in our sample were more likely to emphasize the importance of career support to help future retiring hockey players, whereas depressed former players emphasized the importance of mental health support. Our findings may inform future preventative interventions to assist retiring hockey players in their end-of-athletic-career transition and suggest the value of tailoring interventions based on the strength of athletic identity and the presence of depressive symptoms.Lay summary: Retired professional ice hockey players with self-reported depression symptoms experienced two distinct identity challenges when transitioning out of sport. Some appeared to actively distance themselves from their former athletic identity (athletic identity flight). Others experienced an identity crisis and appeared to maintain their athletic identity over time (athletic identity gripping).Implications for practice: Based on both quantitative and qualitative data analysis, results suggest that athletic identity is a factor to consider when tailoring interventions for professional hockey players transitioning to athletic retirement. Interventions may vary based on relationship with athletic identity during the transition; some will experience an “identity crisis” and attempt to hold onto their athletic identity, which may be a risk factor for long-term depressive symptoms. Others may actively distance themselves from their athletic identity during the transition, possibly due to emotional pain associated with the athlete role.Depending on the presence of depressive symptoms, retiring players may have different intervention needs to assist with athletic retirement. Non-depressed players may benefit from practical support, such as planning their next career. Depressed players may benefit more from mental health outreach. Aligned with duty of care principles, results indicate a need for screening retiring athletes to identify those at risk for depression.

A social-development model of the evolution of depressive symptoms from age 13 to 30.

This 17-year prospective study applied a social-development lens to the challenge of identifying long-term predictors of adult depressive symptoms. A diverse community sample of 171 individuals was repeatedly assessed from age 13 to age 30 using self-, parent-, and peer-report methods. As hypothesized, competence in establishing close friendships beginning in adolescence had a substantial long-term predictive relation to adult depressive symptoms at ages 27-30, even after accounting for prior depressive, anxiety, and externalizing symptoms. Intervening relationship difficulties at ages 23-26 were identified as part of pathways to depressive symptoms in the late twenties. Somewhat distinct paths by gender were also identified, but in all cases were consistent with an overall role of relationship difficulties in predicting long-term depressive symptoms. Implications both for early identification of risk as well as for potential preventive interventions are discussed.

Distinct depressive symptom trajectories are associated with incident diabetes among Chinese middle-aged and older adults: The China Health and Retirement Longitudinal Study

ObjectivePrevious studies have reported that depression and depressive symptom are associated with diabetes incident. However, the association between long-term depressive symptom patterns and risk of diabetes remains unknown. The aim of present study was to evaluate the association between depressive symptom trajectories and risk of diabetes. MethodsWe used data of 8806 participants (≥45 years old) from the China Health and Retirement Longitudinal Study (CHARLS). Trajectories of depressive symptom were identified by latent mixture modeling. Multivariable logistic regression model was used to examine the association of depressive symptom trajectories with diabetes. ResultsFive depressive symptom trajectories were identified, characterizing by maintaining a low CES-D scores throughout the follow-up (low-stable; 3227 participants [36.65%]); maintaining a moderate CES-D scores throughout the follow-up (moderate-stable; 3402 participants [38.63%]); moderate starting CES-D scores then increasing scores (moderate-increasing; 681 participants [7.73%%]); high starting CES-D scores but then decreasing scores (high-decreasing; 1061 participants [12.05%]); and maintained high CES-D scores throughout the follow-up (high-stable; 435 participants [4.94%]). During 2015 to 2018 (Wave 3 to Wave 4), a total of 312 respondents experienced diabetes. Compared with participants in the low-stable depressive symptom trajectory, those following a high-decreasing (ORs = 2.04; 95%CIs 1.48–2.98) and high-stable depressive symptom trajectories (ORs = 3.26; 95%CIs 2.06–5.16) were at substantially higher risk of developing diabetes. ConclusionsIndividuals with high-decreasing and high-stable depressive symptom trajectories over time were associated with increased risk of incident diabetes. Long-term depressive symptom may be a strong predictor of having diabetes.

Long-term depressive symptoms and midlife brain age

BackgroundEvidence suggests that depression may be a risk factor for dementia in older adults, but the link between depressive symptoms and brain health earlier in life is less understood. Our aim was to investigate the association between long-term depressive symptoms in young to mid-adulthood and a measure of brain age derived from structural MRI. MethodsFrom the Coronary Artery Risk Development in Young Adults study, we identified 649 participants (age 23–36 at baseline) with brain MRI and cognitive testing. Long-term depressive symptoms were measured with the Center for Epidemiological Studies Depression scale (CESD) six times across 25 years and analyzed as time-weighted averages (TWA). Brain age was derived using previously validated high dimensional neuroimaging pattern analysis, quantifying individual differences in age-related atrophy. Elevated depressive symptoms were defined as CES-D ≥16. Linear regression was used to test the association between TWA depressive symptoms, brain aging, and cognition. ResultsEach standard deviation (5-points) increment in TWA depression symptoms over 25 years was associated with one-year greater brain age (β: 1.14, 95 % confidence interval [CI]: 0.57 to 1.71). Participants with elevated TWA depressive symptoms had on average a 3-year greater brain age (β: 2.75, 95 % CI: 0.43 to 5.08). Moreover, elevated depressive symptoms were associated with higher odds of poor cognitive function in midlife (OR: 3.30, 95 % CI: 1.37 to 7.97). LimitationsBrain age was assessed at one time, limiting our ability to evaluate the temporality of depressive symptoms and brain aging. ConclusionsElevated depressive symptoms in early adulthood may have implications for brain health as early as in midlife.

Associations of cumulative depressive symptoms with subsequent cognitive decline and adverse health events: Two prospective cohort studies

BackgroundThe course of depression is variable; however, few studies examined the relationship between long-term cumulative depressive symptoms and adverse health outcomes in the elderly. MethodsIn this cohort study, we used data from the Health and Retirement Study (HRS) over 24 years and the English Longitudinal Study of Ageing (ELSA) over 16 years. Cumulative depressive symptoms were estimated by calculating the areas under the curve based on the Center for Epidemiological Research Depression scale assessed at four examinations. Outcomes include cognitive decline, incident dementia, cardiovascular disease (CVD), cancer, and all-cause mortality. ResultsA total of 8284 American (mean age: 60.1 years; male: 35.4 %) and 4314 British (60.1 years; 42.4 %) were included in the analysis. The median follow-up was 16.1 years in the HRS and 9.9 years in the ELSA. Similar results were observed in two cohorts. Comparing with the first tertile of cumulative depressive symptoms, the third tertile experienced faster cognitive decline (p = 0.013 in the ELSA and p < 0.001 in the HRS), increased risk of dementia (both p < 0.001), CVD (both p < 0.001) and all-cause mortality (p = 0.002 in the HRS). Strong dose-response relationships were observed. We did not found clearly association between cumulative depressive symptoms and incident cancer. ConclusionsThis study suggests that long-term cumulative depressive symptoms were associated with subsequent faster cognitive decline and greater risks for dementia, CVD and all-cause mortality, but not cancer. These findings provide insights on potential effective strategy that may improve health in the elderly, future clinical trials are needed to determine causality.

Associations of dual sensory impairment with long-term depressive and anxiety symptoms in the United States

ObjectiveWe explored the associations of dual sensory impairment (DSI) with long-term depressive and anxiety symptoms as well as low perceived social support (LPSS) as a modifier of these associations. MethodsMultinomial logistic regression models were used to examine the associations of DSI and single sensory impairment (hearing [pure-tone average > 25 dB] and vision [impaired visual acuity and/or contrast sensitivity]) with long-term depressive symptom (≥8 on the 10-item Center for Epidemiologic Studies-Depression Scale) and anxiety symptom (present on the Hopkins Symptom Checklist) latent classes from group-based trajectory models (rare/never; mild/moderate increasing; chronically high) among 2102 Health, Aging and Body Composition Study participants (mean age:74.0 ± 2.8 years; 51.9 % female) over 10 years. Models were adjusted by demographic characteristics and cardiovascular risk factors, and LPSS. An additional model evaluated the two-way interaction between DSI and LPSS. ResultsDSI was associated with increased risk of being chronically depressed (Risk Ratio, RR = 1.99, 95 % Confidence Interval, CI: 1.25, 3.17), not mild/moderate increasingly depressed (RR = 1.25, 95 % CI: 0.91, 1.71). DSI had increased risk of being mild/moderate increasingly anxious (RR = 1.60, 95 % CI: 1.16, 2.19) and chronically anxious (RR = 1.86, 95 % CI: 1.05, 3.27) groups, as compared to no impairments. Hearing impairment was associated with being mild/moderate increasingly anxious (RR = 1.34, 95 % CI: 1.01, 1.79). No other associations were found for single sensory impairments. LPSS did not modify associations. LimitationsSensory measures were time-fixed, and LPSS, depression and anxiety measures were self-reported. ConclusionsFuture research is warranted to determine if DSI therapies may lessen long-term chronically high depressive and anxiety symptoms.

Predictors of persistent alcohol use disorder and co-occurring depressive symptoms: Insights from the longitudinal college experiences study.

Problematic alcohol use and depression are prevalent in the college student population. The purpose of this study was to identify how personality and social-contextual factors in the first year of college work together to predict stable and potentially co-occurring alcohol use disorder (AUD) and depressive symptoms over a period of approximately 4 years. Participants were first-year college students from the Southeastern United States (N = 209, 90% white, 62% female). Baseline data were collected in the first year of college and follow-up assessments were completed ~1 and ~4 years later (retention rates: 80%+, average ages ~19, 20, and 23 years, respectively). At each assessment, participants completed a comprehensive online survey assessing mental health and substance use, as well as personality, social support, stress, sleep, and other features of peer and romantic partner affiliations. Results from our random-intercept cross-lagged panel model indicated AUD and depressive symptoms were more likely to co-occur in the transition out of rather than into college. Significant predictors of stable AUD symptoms across the ~4-year period included greater alcohol quantity, marijuana frequency, affiliation with antisocial/substance-using peers, and frequency of drinking with romantic partner in the first year of college. Significant predictors of stable depressive symptoms included greater constraint, greater negative emotionality, lower positive emotionality, greater stress, and less weekday sleep. Findings suggest that personality factors, stress, and sleep in the first year of college may be useful targets to screen for in efforts to reduce long-term depressive symptoms in the college context. Disrupting affiliation with antisocial/substance-using peers and romantic partners and reducing the high quantity of alcohol and frequency of marijuana may be more relevant to reducing long-term problematic alcohol use. Implications for incorporating individually-tailored approaches to prevention/intervention are addressed.

Patterns and predictors of depressive and anxiety symptoms in mothers affected by previous prenatal loss in the ALSPAC birth cohort

BackgroundStudies investigating the patterns or predictors of psychological distress in expecting and postpartum mothers affected by previous prenatal loss, are limited. The study objectives were to explore longitudinal trajectory patterns of depressive and anxiety symptoms in mothers affected by previous prenatal loss from early in a subsequent pregnancy up to pre-adolescence, and to identify early factors predictive of elevated symptom trajectory patterns. MethodsA total of 2854 mothers from the Avon Longitudinal Study of Parents and Children self-identified as having experienced a previous prenatal loss. A latent class analysis identified trajectory patterns of symptoms across 10 timepoints from 18-weeks' gestation up to 134-months postpartum, multivariate regression analysis identified predictors of elevated symptom trajectories, and hierarchical regression analysis determined predictive accuracy between predictors and elevated trajectory patterns. ResultsThree distinct longitudinal trajectory patterns of depressive and anxiety symptoms reflected low (54%), sub-clinical (34%), and clinical symptoms (12%). Key factors that predicted elevated symptom trajectory patterns better than increased symptom scores early in subsequent pregnancy include history of severe depression or other psychiatric problem, experiencing three or more stressful events from mid-pregnancy, inadequate social support, history of induced abortion, and history of abuse. Predictive accuracy of elevated trajectories was 0.542 (depression) and 0.432 (anxiety). LimitationsGeneralizability may be compromised by attrition, under-reporting, and recall bias. ConclusionIncluding factors predictive of long-term sub-clinical or clinical depressive and anxiety symptoms in early assessments will improve clinician's ability to identify mothers who may benefit from immediate and/or ongoing monitoring, and psychotherapeutic intervention after prenatal loss.

Trajectories of depression and anxiety during the COVID-19 pandemic in a population-based sample of middle-aged and older adults

The COVID-19 pandemic and the related governmental restrictions have greatly impacted the lives of people worldwide and have been suggested to negatively impact mental health. We describe the trajectories of depressive and anxiety symptoms during the pandemic and their determinants in a large population-based sample of middle-aged and older adults. From April to June 2020, participants of the Rotterdam Study were asked to complete questionnaires including questions on depressive symptoms (Center of Epidemiological Studies Depression Scale, 10 item version) and anxiety symptoms (Hospital Anxiety and Depression Scale, anxiety subscale). We compared depressive and anxiety symptom scores to those before the pandemic and described its trajectories during the pandemic by demographic variables, chronic disease status and pre-pandemic clinically relevant depressive or anxiety symptoms. In total, 6241 participants responded to the questionnaires (mean age [standard deviation] 70.1 years [11.6]; 58% women). Participants more often reported clinically relevant depressive symptoms during than before the pandemic (19% vs. 12%, P < .001), which was similar for clinically relevant anxiety symptoms (17% vs. 12%, P < .001). During the pandemic, depressive symptoms persisted over time while anxiety symptoms improved. Depressive and anxiety symptoms were more common among women, persons living alone, with chronic diseases and with pre-pandemic clinically relevant symptoms, although the trajectories of these symptoms over time were broadly similar for the subgroups. Together, these results suggest that it is important to be aware of long-term depressive symptoms following the COVID-19 pandemic in the general population.