scholarly journals Genetic and environmental factors predict multivariate trajectories of maternal distress after birth

2021 ◽  
Author(s):  
Eva Unternaehrer
Keyword(s):  
Depressive Symptoms ◽  
Educational Level ◽  
Genetic Risk ◽  
Latent Class ◽  
Maternal Distress ◽  
Polygenic Risk Score ◽  
Latent Classes ◽  
Early Life Adversity ◽  
Membership Probability ◽  
Symptoms Of Depression

Background: Maternal distress influences her own wellbeing and shapes her offspring’s psychosocial adjustment and neurodevelopment across childhood. The aim of this study was to analyze multivariate trajectories of maternal postpartum distress using a latent class modeling approach and to find genetic and psychosocial factors that predict membership within a given group (latent class).Methods: Maternal self-reports of depressive symptoms, parenting stress, general stress, and marital stress were measured at regular intervals during the first six years postpartum in 261 mothers participating in the Maternal Adversity, Vulnerability and Neurodevelopment Study. Genetic risk was determined by calculating a polygenic risk score for Major Depressive Disorder (MDD-PRS). Additionally, we assessed maternal history of early life adversity (mELA), educational level, and prenatal symptoms of depression as psychosocial risk factors. Using Latent Gold® Software, we identified latent classes of mothers based on their 1) average levels of distress and 2) change in distress over time.Results: We identified four latent classes based on average levels of distress and found that class membership probability was influenced by an interaction between MDD-PRS and prenatal depressive symptoms (WaldInteraction(3)=13.19, p=0.004; WaldMDD-PRS(3)=6.02, p=0.11; WaldDepression(3)=41.96; p<0.001), mELA (Wald(3)=8.64, p=0.035), and educational level (Wald(3)=11.61, p=0.009). Furthermore, we found five classes of mothers with distinct across- time trajectories, which were associated with mELA (Wald(3)=12.67, p=0.013).Conclusions: Our findings might become relevant in the clinical setting, e.g. for identifying pregnant women at risk for distress in the postpartum based on her prenatal symptoms of depression and genetic risk, mELA, and educational level.

Pain among women: Associations with socio-economic factors over time and the mediating role of depressive symptoms

2012 ◽  
Vol 3 (2) ◽  
pp. 62-67 ◽  
Author(s):  
Johanna Thomtén ◽  
Joaquim J.F. Soares ◽  
Örjan Sundin
Keyword(s):  
Depressive Symptoms ◽  
Educational Level ◽  
Work Conditions ◽  
Financial Strain ◽  
Regression Analyses ◽  
Mediating Role ◽  
Symptoms Of Depression ◽  
Pain Outcomes ◽  
The Relationship

AbstractBackground and aimsLower socioeconomic status (SES), based on economic situation, education and occupation, has been associated with greater morbidity and mortality in a wide range of diseases, and socioeconomic inequalities have been found in several chronic pain populations. Since women are overrepresented in several clinical pain conditions, there is a need to understand the influence of SES among women with pain. In a previous cross-sectional study, socioeconomic-and work conditions were associated with pain among women from the general population of Sweden. In the present study, based on baseline and follow-up measures from 2300 of the same sample, we examined associations between pain variables, socioeconomic status and work conditions over time by means of multiple logistic/linear regression analyses. Additionally, a possible mediating role of depressive symptoms on the relationship between SES and pain was examined.MethodsThe study was a prospective panel survey with two measurements 12 months apart among 2300 women with and without pain from the general population in Stockholm (aged 18–64). Logistic and linear regression analyses were used to identify associations between SES and pain outcomes.ResultsResults revealed that pain is a rather stable condition with large impact on daily functioning among many women. Certain SES variables (educational level, financial strain, occupational level) were related to pain and pain related disability prospectively. Financial strain and to be a blue-collar worker were related to the incidence of pain among all women, while educational level was related to worse pain outcomes among women with pain in terms of pain intensity, pain frequency, number of pain locations and pain-related disability. Symptoms of depression were associated with pain incidence and with pain variables (intensity, number of pain locations and pain-related disability) and with lower SES.ConclusionsFinancial strain and occupational level were here identified as risk factors for the incidence of pain, and could be interpreted as increasing both physical and psychological stress and thereby work both as predisposing the individual to pain and to perpetuate the development of a pain condition. Educational level was associated with the course of pain in terms of pain duration and pain-related disability which may indicate that once affected by pain, lower educational level may be related to less functional coping strategies in the adaptation to the pain condition. Depressive symptoms could be understood as a mediator of the relationship between SES and pain among women in terms of limiting the individual’s strategies to handle pain in a functional manner by increasing passive behavior patterns such as avoidance.ImplicationsThe interplay between SES and symptoms of depression should be regarded in preventive interventions and in treatment of pain among women. An overall risk-profile in terms of psychosocial and biological factors needs to be assessed early on within pain treatment for women. Increased knowledge of socioeconomic risk factors for long term pain, e.g. low educational level, is needed on all levels among all professionals within the healthcare system in order to facilitate effective communication in the treatment of women with pain.

scholarly journals The trajectories of depressive symptoms expressed in early childhood differ between boys and girls

2018 ◽  
Keyword(s):  
Early Childhood ◽  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Latent Classes ◽  
Class Analysis ◽  
Washington University

A study by Diana Whalen and colleagues at Washington University has used latent class analysis (LCA) to identify and define the trajectories of latent classes of depressive symptoms in early childhood.

scholarly journals Longitudinal associations between alcohol use, smoking, genetic risk scoring and symptoms of depression in the general population: a prospective 6-year cohort study

2021 ◽  
pp. 1-9
Author(s):  
N. de Boer ◽  
J. Vermeulen ◽  
B. Lin ◽  
J. van Os ◽  
M. ten Have ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Alcohol Consumption ◽  
Alcohol Use ◽  
General Population ◽  
Genetic Risk ◽  
Smoking Behaviour ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Longitudinal Associations ◽  
Prospective Longitudinal

Abstract Background Alcohol consumption, smoking and mood disorders are leading contributors to the global burden of disease and are highly comorbid. Yet, their interrelationships have remained elusive. The aim of this study was to examine the multi-cross-sectional and longitudinal associations between (change in) smoking and alcohol use and (change in) number of depressive symptoms. Methods In this prospective, longitudinal study, 6646 adults from the general population were included with follow-up measurements after 3 and 6 years. Linear mixed-effects models were used to test multi-cross-sectional and longitudinal associations, with smoking behaviour, alcohol use and genetic risk scores for smoking and alcohol use as independent variables and depressive symptoms as dependent variables. Results In the multi-cross-sectional analysis, smoking status and number of cigarettes per day were positively associated with depressive symptoms (p < 0.001). Moderate drinking was associated with less symptoms of depression compared to non-use (p = 0.011). Longitudinally, decreases in the numbers of cigarettes per day and alcoholic drinks per week as well as alcohol cessation were associated with a reduction of depressive symptoms (p = 0.001–0.028). Results of genetic risk score analyses aligned with these findings. Conclusions While cross-sectionally smoking and moderate alcohol use show opposing associations with depressive symptoms, decreases in smoking behaviour as well as alcohol consumption are associated with improvements in depressive symptoms over time. Although we cannot infer causality, these results open avenues to further investigate interventions targeting smoking and alcohol behaviours in people suffering from depressive symptoms.

scholarly journals “Who Are at Higher Sexual Risk?” Latent Class Analysis of Behavioral Intentions among Spanish Adolescents

2021 ◽  
Vol 18 (4) ◽  
pp. 1855
Author(s):  
Alexandra Morales ◽  
Samuel Tomczyk ◽  
Mireia Orgilés ◽  
José Pedro Espada
Keyword(s):  
Condom Use ◽  
Latent Class Analysis ◽  
Sexual Risk ◽  
Educational Level ◽  
Behavioral Intentions ◽  
Latent Class ◽  
Sexual Experience ◽  
Latent Classes ◽  
Class Analysis ◽  
Risk Profiles

Consistent condom use tends to be limited in youth, which makes this group especially vulnerable for sexually transmitted infections (STIs) and unplanned pregnancies. It is known that sexual risk may vary as a function of behavioral intentions (e.g., condom use intention or having sex under the influence of alcohol), but no studies have yet characterized the sexual risk profiles considering behavioral intentions. This study utilizes latent class analysis (LCA) to explore the subtyping of behavioral intentions related to sexual risk in a community-based sample of adolescents aged 14 to 16 years from Spain. Multinomial logistic regression was used to assess the association between class membership and participants’ sociodemographic variables (sex, age, educational level, socioeconomic status, and family situation), and behavioral variables (sexual experience and percentage of condom use). Among the 1557 participants, four latent classes of risk were identified: “Condom + drugs”, “abstinent”, “condom + no drugs”, and “no condom + drugs”. Differences in adolescents’ sex, age, educational level, sexual experience, and condom use across latent classes were found. Findings highlight opportunities for psychologists, educators, and health-care providers to promote condom use in adolescents with differing sexual risk profiles. Increased understanding of behavioral intentions among adolescents may help to reduce sexual risk behaviors in this group.

scholarly journals Latent subtypes of manic and/or irritable episode symptoms in two population-based cohorts

2022 ◽  
pp. 1-10
Author(s):  
Ryan Arathimos ◽  
Chiara Fabbri ◽  
Evangelos Vassos ◽  
Katrina A. S. Davis ◽  
Oliver Pain ◽  
...  
Keyword(s):  
Mood Disorders ◽  
Functional Outcomes ◽  
Latent Class ◽  
Classification Systems ◽  
Polygenic Risk Score ◽  
Latent Classes ◽  
Uk Biobank ◽  
Polygenic Risk ◽  
Diagnostic Threshold ◽  
Irritable Mood

Background Mood disorders are characterised by pronounced symptom heterogeneity, which presents a substantial challenge both to clinical practice and research. Identification of subgroups of individuals with homogeneous symptom profiles that cut across current diagnostic categories could provide insights in to the transdiagnostic relevance of individual symptoms, which current categorical diagnostic systems cannot impart. Aims To identify groups of people with homogeneous clinical characteristics, using symptoms of manic and/or irritable mood, and explore differences between groups in diagnoses, functional outcomes and genetic liability. Method We used latent class analysis on eight binary self-reported symptoms of manic and irritable mood in the UK Biobank and PROTECT studies, to investigate how individuals formed latent subgroups. We tested associations between the latent classes and diagnoses of psychiatric disorders, sociodemographic characteristics and polygenic risk scores. Results Five latent classes were derived in UK Biobank (N = 42 183) and were replicated in the independent PROTECT cohort (N = 4445), including ‘minimally affected’, ‘inactive restless’, active restless’, ‘focused creative’ and ‘extensively affected’ individuals. These classes differed in disorder risk, polygenic risk score and functional outcomes. One class that experienced disruptive episodes of mostly irritable mood largely comprised cases of depression/anxiety, and a class of individuals with increased confidence/creativity reported comparatively lower disruptiveness and functional impairment. Conclusions Findings suggest that data-driven investigations of psychopathological symptoms that include sub-diagnostic threshold conditions can complement research of clinical diagnoses. Improved classification systems of psychopathology could investigate a weighted approach to symptoms, toward a more dimensional classification of mood disorders.

A person-centered approach to studying associations between psychosocial vulnerability factors and adolescent depressive symptoms and suicidal ideation in a Canadian longitudinal sample

2020 ◽  
pp. 1-12 ◽  
Author(s):  
Lalou Tisseyre ◽  
Eric Lacourse ◽  
Réal Labelle ◽  
Stéphane Paquin ◽  
Catherine M. Herba
Keyword(s):  
Substance Use ◽  
Depressive Symptoms ◽  
Suicidal Ideation ◽  
Conduct Problems ◽  
Latent Class ◽  
Latent Classes ◽  
Vulnerability Factors ◽  
Psychosocial Vulnerability ◽  
Person Centered Approach

Abstract This study used a person-centered approach to identify subgroups of adolescents who are at risk for depression and suicidal ideation. Latent class analysis was first applied to 1,290 adolescents from a Canadian cohort study in order to identify latent vulnerability subtypes based on 18 psychosocial vulnerability factors. Logistic regression analyses were conducted to study the associations between class membership and depressive symptoms and suicidal ideation 2 years later. The moderating role of sex in the associations between latent classes and depressive symptoms was explored. Five latent classes were identified: Low Vulnerability (42%), Substance Use Only (13%), Moderate Vulnerability (28%), Conduct Problems (8%) and High Vulnerability (9%). Compared with the Low Vulnerability class, the probabilities of presenting depressive symptoms were higher for the Substance Use Only class, OR = 1.93, 95% CI [1.21, 3.06], the Moderate Vulnerability class, OR = 2.96, 95% CI [2.09, 4.20], the Conduct Problems class, OR = 3.03, 95% CI [1.84, 4.98], and the High Vulnerability class, OR = 5.4, 95% CI [3.42, 8.53]. Furthermore, interaction effects with sex were identified in relation to depressive symptoms only. The probability of presenting suicidal ideation was higher only for the High Vulnerability class, OR = 4.51, 95% CI [2.41, 8.43]. This study highlights the importance of a person-centered perspective that considers both vulnerability subtypes and sex because these associations are complex rather than linear or additive.

Examining the Temporal Dynamics of Anxiety and Depressive Symptoms During a Therapist-Supported, Smartphone-Based Intervention for Major Depression (Preprint)

2020 ◽  
Author(s):  
Santiago Allende ◽  
Valerie Forman-Hoffman ◽  
Philippe Goldin
Keyword(s):  
Depressive Symptoms ◽  
Temporal Relationship ◽  
Temporal Dynamics ◽  
Digital Health ◽  
Quadratic Function ◽  
Depression Symptoms ◽  
Symptoms Of Depression ◽  
Effect Model ◽  
End Of Treatment ◽  
Highly Correlated

UNSTRUCTURED Background: Anxiety and depression symptoms are highly correlated in adults with depression; however, little is known about their interaction and temporal dynamics of change during treatment. Thus, the primary aim of this study was to examine the temporal dynamics of anxiety and depressive symptoms during a 12-week therapist-supported, smartphone-delivered digital health intervention for symptoms of depression and anxiety, the Meru Health Program (MHP). Method: A total of 290 participants from the MHP were included in the present analyses (age Mean = 39.64, SD = 10.25 years; 79% female; 54% self-reported psychotropic medication use). A variance components model was used to examine whether (1) reporting greater anxiety during the current week relative to anxiety reported in other weeks would be associated with greater reporting of depressive symptoms during the current week, while a time-varying effect model was used to examine whether, (2) consistent with findings reported by Wright et al. (2014), the temporal relationship between anxiety and depressive symptoms during the intervention would be expressed as a quadratic function marked by a weak association at baseline, followed by an increase to a peak before demonstrating a negligible decrease until the end of treatment. Results: In support of hypothesis 1, we found that reporting greater anxiety symptoms during the current week relative to other weeks was associated with greater depressive symptoms during the current week. Contrary to hypothesis 2, the temporal relationship between anxiety and depressive symptoms evidenced a recurring pattern, with the association increasing during the initial weeks, decreasing during mid-treatment and sharply increasing toward the end of treatment. Conclusions: The present findings demonstrate that anxiety and depressive symptoms overlap and fluctuate in concert during a smartphone-based intervention for anxiety and depressive symptoms. The present findings may warrant more refined intervention strategies specifically tailored to co-occurring patterns of change in symptoms.

Examining Associations Between Race, Gender, Alcohol Use, School Performance, and Patterns of Bullying in the School Context: A Latent Class Analysis

2021 ◽  
pp. 088626052199912
Author(s):  
Valdemir Ferreira-Junior ◽  
Juliana Y. Valente ◽  
Zila M. Sanchez
Keyword(s):  
Alcohol Use ◽  
Latent Class Analysis ◽  
School Performance ◽  
Latent Class ◽  
School Context ◽  
Bullying Victimization ◽  
Latent Classes ◽  
Class Analysis ◽  
Seventh Grade ◽  
Sociodemographic Variables

Although many studies addressed bullying occurrence and its associations, they often use individual variables constructed from few items that probably are inadequate to evaluate bullying severity and type. We aimed to identify involvement patterns in bullying victimization and perpetration, and its association with alcohol use, school performance, and sociodemographic variables. Baseline assessment of a randomized controlled trial were used and a latent class analysis was conducted to identify bullying patterns among 1,742 fifth-grade and 2,316 seventh-grade students from 30 public schools in São Paulo, Brazil. Data were collected using an anonymous self-reported, audio-guided questionnaire completed by the participants on smartphones. Multinomial logistic regressions were performed to verify how covariant variables affected bullying latent classes. Both grades presented the same four latent classes: low bullying, moderate bullying victimization, high bullying victimization, and high bullying victimization and perpetration. Alcohol use was associated with all bullying classes in both grades, with odds ratio up to 5.36 (95% CI 3.05; 10.38) among fifth graders from the high bullying victimization and perpetration class. Poor school performance was also strongly associated with this class (aOR = 10.12, 95%CI = 4.19; 24.41). Black/brown 5th graders were 3.35 times more likely to fit into the high bullying victimization class (95% CI 1.34; 8.37). Lack of evidence for association of sociodemographic variables and bullying latent class among seventh-grade students was found. Bullying and alcohol use are highly harmful behaviors that must be prevented. However, prevention programs should consider how racial and gender issues are influencing the way students experience violence.

scholarly journals Profile Groups Based on Lifestyle and Differences in Mental Health and Cognition

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 404-404
Author(s):  
Joseph Kim ◽  
Kyuree Kim
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Latent Class ◽  
Mail Survey ◽  
Later Life ◽  
Self Rated Health ◽  
Final Sample ◽  
Group 2 ◽  
Mean Differences

Abstract The purpose of this study was to identify the profiles of older adults according to lifestyle. Data for the study were from the 2017 Consumption and Activities Mail Survey (CAMS). CAMS 2017 is a questionnaire mailed to a sub-sample of respondents from the Health and Retirement Study. Participants were limited to older adults 65 and older, and the final sample consisted of 1136 older adults. The sample included 443 men and 693 women. Caucasians comprised 82.0% of the participants. Lifestyle was measured through items assessing the amount of time spent on activities. Due to high skewness, the items were dichotomized, 0=no time spent on activity and 1=time spent on the activity. Latent class analysis (LCA) was performed to identify groups based on lifestyle. LCA is a person-centered approach for identifying unobserved subgroups based on similarity in responses to items. Three lifestyle groups were identified. Group 1 was “Outgoing” with 471 individuals. Group 2 was “Adequate” with 229 individuals. Group 3 was “Inactive” with 436 individuals. An ANOVA was then conducted to assess mean differences in self-rated health, cognition, depressive symptoms, and loneliness for the three lifestyle groups. The “Outgoing” and “Adequate” groups had significantly higher scores on self-rated health and cognition, and in addition, significantly lower scores on depressive symptoms and loneliness compared to the “Inactive” group. No significant differences were observed between the “Outgoing” and “Adequate” groups. An implication from this study is the importance of maintaining an active lifestyle in later life for better mental health and cognition.

scholarly journals Identifying classes of the pain, fatigue, and depression symptom cluster in long-term prostate cancer survivors—results from the multi-regional Prostate Cancer Survivorship Study in Switzerland (PROCAS)

2021 ◽  
Author(s):  
Salome Adam ◽  
Melissa S. Y. Thong ◽  
Eva Martin-Diener ◽  
Bertrand Camey ◽  
Céline Egger Hayoz ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Depressive Symptoms ◽  
Cancer Survivorship ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Symptom Cluster ◽  
Depression Symptom ◽  
Class 1 ◽  
Eortc Qlq

Abstract Purpose Aside from urological and sexual problems, long-term (≥5 years after initial diagnosis) prostate cancer (PC) survivors might suffer from pain, fatigue, and depression. These concurrent symptoms can form a cluster. In this study, we aimed to investigate classes of this symptom cluster in long-term PC survivors, to classify PC survivors accordingly, and to explore associations between classes of this cluster and health-related quality of life (HRQoL). Methods Six hundred fifty-three stage T1-T3N0M0 survivors were identified from the Prostate Cancer Survivorship in Switzerland (PROCAS) study. Fatigue was assessed with the EORTC QLQ-FA12, depressive symptoms with the MHI-5, and pain with the EORTC QLQ-C30 questionnaire. Latent class analysis was used to derive cluster classes. Factors associated with the derived classes were determined using multinomial logistic regression analysis. Results Three classes were identified: class 1 (61.4%) – “low pain, low physical and emotional fatigue, moderate depressive symptoms”; class 2 (15.1%) – “low physical fatigue and pain, moderate emotional fatigue, high depressive symptoms”; class 3 (23.5%) – high scores for all symptoms. Survivors in classes 2 and 3 were more likely to be physically inactive, report a history of depression or some other specific comorbidity, be treated with radiation therapy, and have worse HRQoL outcomes compared to class 1. Conclusion Three distinct classes of the pain, fatigue, and depression cluster were identified, which are associated with treatment, comorbidities, lifestyle factors, and HRQoL outcomes. Improving classification of PC survivors according to severity of multiple symptoms could assist in developing interventions tailored to survivors’ needs.

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