Longitudinal associations between specific symptoms of depression: Network analysis in a prospective cohort study

Which comes first? Comorbidity of depression and anxiety symptoms: A cross-lagged network analysis

Depression and anxiety significantly impact college students, leading to various negative outcomes. While numerous studies have investigated the relationship between these two conditions, their temporal sequence remains unresolved. Many previous studies have concentrated on broad latent variables, often neglecting the nuanced symptomatology perspective, which may offer deeper insight into the clinical characteristics of these disorders. In this study, we collected questionnaire data from a college in South China using a cluster random sampling method. Data collection occurred over two time points, with the first round completed in November 2022 and May 2023, with a six-month interval. A total of 689 participants successfully completed the questionnaires during both rounds. Employing cross-lagged network analysis from a symptom-focused perspective, this research examines the interactions and predictive relationships between symptoms of depression and anxiety. The findings identified key symptoms-specifically "Irritability", "Guilty" and "Sad mood"- as critical bridging nodes of connection within the depression and anxiety symptom network. Our analysis revealed both bidirectional predictive relationships between certain symptoms nodes of depression and anxiety, as well as unidirectional ones. By highlighting these core nodes and their directional relationships, this study offers valuable insights that can inform targeted intervention and treatment strategies for enhancing mental health among college students.

Disentangling between-person and within-person associations of physical symptoms of depression with self-perceived health and life satisfaction: A longitudinal study in Chilean adults

Depression is a major health problem in Chile. Evidence suggests that physical symptoms of depression (PSD) negatively impact self-perceived health and life satisfaction. The aim of this study was to determine the between-person and within-person associations of PSD with self-perceived health and life satisfaction in Chilean adults. The sample consisted of 1424 participants (64.54% female; Mage = 46.77, SD = 14.88) with data in five waves of the Social Longitudinal Study of Chile. Variables were measured through self-report questionnaires. Hypotheses were tested using multilevel analysis. At the within-person level, physical slowing, fatigue, and sleep problems were associated with poorer self-perceived health and lower life satisfaction. At the between-person level, physical slowing and fatigue were associated with poorer perceived health and lower life satisfaction. PSD are associated with self-perceived health and life satisfaction in Chilean adults longitudinally. The study highlights the importance of monitoring PSD changes in Chilean adults.

The psychological side of menopause: evidence from the comorbidity network of menopausal, anxiety, and depressive symptoms

OBJECTIVE

Numerous studies have uncovered a correlation between menopausal, anxiety, and depressive symptoms. How these symptoms interrelate and influence each other, however, remains unclear. This study aimed to identify the associations between menopausal, anxiety, and depressive symptoms using network analysis.

METHODS

The participants comprised 423 women ( Mage = 49.21 ± 4.01 y; range, 40-60 y) recruited from a menopause clinic at a tertiary hospital in Beijing, China. Demographic characteristics and menopausal, anxiety, and depressive symptoms were obtained through self-report questionnaires. Two networks were established: a partial correlation network and a Bayesian network.

RESULTS

The menopausal symptom of nervousness exhibited a robust association with anxiety symptoms in both networks. Within the partial correlation network, the depressive symptom of tiredness emerged as a pivotal symptom, facilitating the co-occurrence of menopausal and depressive symptoms. Bayesian network analysis exhibited that the depressive symptom of a loss of interest was related to certain menopausal symptoms through depressive symptoms of tiredness and motor problems, both serving as critical links between menopausal symptoms and depression. Notably, four menopausal symptoms-arthralgia/myalgia, formication, sexual complaints, and urinary tract infection-appeared independent of other menopausal, anxiety, and depressive symptoms.

CONCLUSIONS

Both psychological (eg, fatigue) and somatic (eg, hot flashes, headaches, and dizziness) menopausal symptoms demonstrate strong associations with depression. In providing optimal support for women's health during menopause, psychological interventions aimed at depression, particularly among those experiencing a loss of interest or pleasure in activities, should complement conventional therapies.

Temporal Associations Between Specific Depressive Symptoms and Physical Inactivity in Middle Aged and Older Adults

Being physically inactive can worsen mental health. Physical inactivity and depression are associated, but the temporal precedence and underlying mechanism are unclear; symptoms affecting future physical activity may not be the same symptoms as those associated with and affected by it. We used large European cohort (Survey of Health, Ageing, and Retirement in Europe, SHARE, N = 124, 526) to study temporal associations between physical inactivity and individual depressive symptoms. Multivariate regression with robust standard errors were used to analyze how physical inactivity is associated with later depression and how depressive symptoms predict later physical inactivity. After adjusting the models for demographics, other health behaviors, BMI, and chronic diseases, physical inactivity was prospectively associated with 10 of the 12 depressive symptoms and 7 of the 12 baseline depressive symptoms were prospectively associated with physical inactivity. These findings were robust for adjusting for antidepressant medication. Age-stratified analyses suggested that the associations between physical inactivity and depressive symptoms were independent of age. Omitting the most influential symptom, lack of enjoyment, from the sum score attenuated the association by 13% in the longitudinal and by 26% in the cross-sectional analyses. These findings suggest that physical inactivity and depression are bidirectionally associated even at symptom-level.

Cross-Lagged Panel Networks of Sleep Inertia Across Its Distinct Change Patterns Among Intern Nurses with Shift Work in China

Purpose

Although experimental psychopathology using PET, EEG, and fMRI is at the forefront of understanding the underlying mechanisms of sleep inertia, many questions concerning causality remain unanswerable due to ethical constraints and the use of small and heterogeneous samples in experimental methods. There is a pressing need for a novel perspective in a large and relatively homogeneous population to fully capture and elucidate longitudinal processes and dynamic causality that culminate in episodes of sleep inertia over time. Therefore, this study aimed to reveal the causal relationships between symptoms of sleep inertia across its distinct patterns.

Patients and Methods

A total of 1636 intern nurses participated in the first survey (94.1% validity rate), then 1277 intern nurses were followed up (82.9% tracing rate). Symptoms of sleep inertia were self-reported using the Sleep Inertia Questionnaire. The cross-lagged panel network models were used to examine unique longitudinal relationships between symptoms of sleep inertia across distinct trajectories.

Results

Four distinct trajectories of sleep inertia were established. Additionally, we found differences in those symptoms with the highest influence on other symptoms at the subsequent point across the networks of four trajectories, particularly, "Difficulty in concentrating" in the persistent-high group and "Feeling tense" in the deteriorating groups.

Conclusion

The current study highlights changes in sleep inertia based on the long-term course over time. Notably, symptoms of "Difficulty in concentrating" and "Feeling tense" are imperative to address these specific symptoms within subpopulations.

Mapping of the network connection between sleep quality symptoms, depression, generalized anxiety, and burnout in the general population of Peru and El Salvador

BACKGROUND

A meta-analysis of randomized controlled trials has suggested a bidirectional relationship between sleep problems and mental health issues. Despite these findings, there is limited conclusive evidence on the relationship between sleep quality, depression, anxiety, and burnout.

OBJECTIVE

The current study aimed to evaluate the relationships between sleep quality symptoms, anxiety, depression, and burnout in samples of adult individuals from two Latin American countries, Peru and El Salvador, through network analysis and to identify key symptoms that reinforce the correlation and intensify the syndromes.

METHODS

A total of 1012 individuals from El Salvador and Peru participated, with an average age of 26.5 years (SD = 9.1). Symptom networks were constructed for both countries based on data from the Jenkins Sleep Scale, Patient Health Questionnaire-2, General Anxiety Disorder-2, and a single burnout item.

RESULTS

The results indicated that Depressed Mood, Difficulty Falling Asleep, and Nervousness were the most central symptoms in a network in the participating countries. The strongest conditional associations were found between symptoms belonging to the same construct, which were similar in both countries. Thus, there is a relationship between Nervousness and Uncontrollable Worry, Anhedonia and Depressed Mood, and Nighttime Awakenings and Difficulty in Staying Asleep. It was observed that burnout is a bridge symptom between both countries and presents stronger conditional associations with Tiredness on Awakening, Depressed Mood, and Uncontrollable Worry. Other bridge symptoms include a Depressed Mood and Nervousness. The network structure did not differ between the participants from Peru and El Salvador.

CONCLUSION

The networks formed by sleep quality, anxiety, depression, and burnout symptoms play a prominent role in the comorbidity of mental health problems among the general populations of Peru and El Salvador. The symptom-based analytical approach highlights the different diagnostic weights of these symptoms. Treatments or interventions should focus on identifying central and bridge symptoms.

How do men and women differ in their depressive symptomatology? A gendered network analysis of depressive symptoms in a French population-based cohort

BACKGROUND

The experience of depressive manifestations and the presentation of symptoms in clinical settings may differ in men and women. Despite the extensive literature, it remains unclear how depressive manifestations interact at symptom levels in men and women. First, we aimed to describe and compare depressive networks by sex. Second, we examined symptom connections to Clinical depression and Functional Limitations as a proxy of self-recognition of a depressive episode.

METHODS

We estimated networks from the 20 CES-D items in men and women from a large population-based French cohort. We computed centrality measures and ran comparisons. Then, we re-estimated two networks in men and women separately, adding, on the one hand, Clinical Depression and, on the other hand, Limitations due to a depressive episode.

RESULTS

Over 200,000 participants were included in this study. Women were twice as likely to have a previous diagnosis of depression. Sex-ratio was less pronounced (1,7:1) for Limitations due to depression. Centrality measures revealed similar symptom patterns. However, network structures differed between men and women. We found some symptom connections to Clinical depression and Limitations to be non-invariant according to sex.

LIMITATIONS

Cross-sectional data does not capture the direction of the connections between symptoms and an eventual diagnosis. We lacked data about the diagnosis's context and could not account for other factors influencing depressive symptomatology.

CONCLUSIONS

Network structures differed, suggesting gender-specific mechanisms in activating symptoms and depressive states. Addressing central symptoms evoking depressed moods with tailored interventions may serve to tackle depressive states in men and women.

Looking at individual symptoms: the dynamic network structure of depressive symptoms in cancer survivors and their preferences for psychological care

PURPOSE

The majority of depressed cancer survivors do not receive psychological care, possibly because offered care does not align with their experiences and preferences. We examined (1) which depressive symptoms cancer survivors would like to receive psychological care for; (2) how distinct depressive symptoms are related to each other in the contemporaneous and temporal network of depressive symptoms; and (3) whether survivors' care needs correspond to the interconnectedness of these specific symptoms.

METHOD

Fifty-two cancer survivors suffering from at least mild depressive symptoms and were not receiving psychological care filled out a baseline questionnaire about their care needs for distinct depressive symptoms, followed by ecological momentary assessments (EMA) assessing depressive symptoms (14 days, five times a day). Multi-level vector autoregression analysis was used to estimate associations between distinct depressive symptoms as well as their centrality within the network.

RESULTS

Cancer survivors most strongly preferred to receive care for fatigue, feeling down, little enjoyment, and sleep problems. Fatigue, together with worry and lack of concentration, most strongly predicted the onset of other symptoms. Little enjoyment and feeling down were two of the most central symptoms (i.e., strongly connected to other symptoms) in the contemporaneous network and were most strongly influenced by other symptoms in the temporal network.

CONCLUSIONS

Clinicians can offer specific interventions that target fatigue, as these played an important role in the onset of symptoms and would align with survivors' needs.

IMPLICATIONS FOR CANCER SURVIVORS

Offering such symptom-specific care may increase the uptake of psychological interventions in cancer survivors.

The development of depressive symptoms in older adults from a network perspective in the English Longitudinal Study of Ageing

An increased understanding of the interrelations between depressive symptoms among older populations could help improve interventions. However, studies often use sum scores to understand depression in older populations, neglecting important symptom dynamics that can be elucidated in evolving depressive symptom networks. We computed Cross-Lagged Panel Network Models (CLPN) of depression symptoms in 11,391 adults from the English Longitudinal Study of Ageing. Adults aged 50 and above (mean age 65) were followed over 16 years throughout this nine-wave representative population study. Using the eight-item Center for Epidemiological Studies Depression Scale, we computed eight CLPNs covering each consecutive wave. Across waves, networks were consistent with respect to the strength of lagged associations (edge weights) and the degree of interrelationships among symptoms (centrality indices). Everything was an effort and could not get going displayed the strongest reciprocal cross-lagged associations across waves. These two symptoms and loneliness were core symptoms as reflected in strong incoming and outgoing connections. Feeling depressed was strongly predicted by other symptoms only (incoming but not strong outgoing connections were observed) and thus was not related to new symptom onset. Restless sleep had outgoing connections only and thus was a precursor to other depression symptoms. Being happy and enjoying life were the least central symptoms. This research underscores the relevance of somatic symptoms in evolving depression networks among older populations. Findings suggest the central symptoms from the present study (everything was an effort, could not get going, loneliness) may be potential key intervention targets to mitigate depression in older adults.

Longitudinal interactions between residual symptoms and physiological stress in the remitted symptom network structure of depression

Residual symptoms and stress are amongst the most reliable predictors of relapse in remitted depression. Standard methodologies often preclude continuous stress sampling or the evaluation of complex symptom interactions. This limits knowledge acquisition relative to the day-to-day interactions between residual symptoms and stress. The study aims to explore the interactions between physiological stress and residual symptoms network structure in remitted depression. Twenty-two individuals remitted from depression completed baseline, daily diary (DD), and post-DD assessments. Self-reported stress and residual symptoms were measured at baseline and post-DD. Daily diaries required participants to use a wearable electrodermal activity (EDA) device during waking hours and complete residual symptom measures twice daily for 3-weeks. Two-step multilevel vector auto-regression models were used to estimate contemporaneous and dynamic networks. Depressed mood and concentration problems were central across networks. Skin conductance responses (SCRs), suicide, appetite, and sleep problems were central in the temporal and energy loss in the contemporaneous network. Increased SCRs predicted decreased energy loss. Residual symptoms and stress showed bi-directional interactions. Overall, depressed mood and concentration problems were consistently central, thus potentially important intervention targets. Non-obtrusive bio-signal measures should be used to provide the clinical evidence-base for modelling the interactions between depressive residual symptoms and stress. Practical implications are discussed throughout related to focusing on symptom-specific interactions in clinical practice, simultaneously reducing residual symptom and stress occurrences, EDA as pioneering signal for stress detection, and the central role of specific residual symptoms in remitted depression.

Electroconvulsive therapy improves somatic symptoms before mood in patients with depression: A directed network analysis

BACKGROUND

The recent network perspective of depression conceptualizes depression as a dynamic network of causally related symptoms, that contrasts with the traditional view of depression as a discrete latent entity that causes all symptoms. Electroconvulsive therapy (ECT) is an effective treatment for severe depression, but little is known about the temporal trajectories of symptom improvement during a course of ECT.

OBJECTIVE

To gain insight into the dynamics of depressive symptoms in individuals treated with ECT.

METHODS

The Quick Inventory of Depressive Symptomatology (QIDS) was used to assess symptoms twice a week in 68 participants with a unipolar or bipolar depression treated with ECT, with an average of 12 assessments per participant. Dynamic time warping (DTW) was used to analyze individual time series data, which were subsequently aggregated to calculate a directed symptom network and the in- and out-strength for each symptom.

RESULTS

Participants had a mean age of 49.6 (SD = 12.8) and 60% were female. Somatic symptoms (e.g., decreased weight) and suicidal ideation showed the highest out-strength values, indicating that their improvement tended to precede improvements in mood symptoms, which showed high in-strength. Sad mood had the highest in-strength, and thus appeared to be the last symptom to improve during ECT treatment (p < 0.001).

CONCLUSION

This study addresses a gap in the existing literature on ECT, by first analysing the temporal trajectories of symptoms within individual patients and subsequently aggregating them to the group level. The results show that somatic symptoms tend to improve before mood symptoms during ECT.

Longitudinal correlates of bullying victimization among Chinese early adolescents: A cross-lagged panel network analysis

BACKGROUND

Bullying victimization is a major public health issue often faced by adolescents. This highlights the need to identify the relevant risk factors to inform intervention. Based on the ecological systems theory and applied cross-lagged panel network analysis, this study explored the longitudinal correlates of bullying victimization among Chinese early adolescents.

METHODS

A total of 1686 early adolescents (60.4 % were boys) from the Chinese Early Adolescent Cohort study were included in this study. Bullying victimization and its associated factors were assessed using the self-report questionnaires, which was administered from 2019 (T1), 2021 (T2), and 2022 (T3). The longitudinal relationships between bullying victimization and its correlates were examined using a cross-lagged panel network analysis.

RESULTS

27.0 %, 14.9 %, and 13.2 % of the participants reported being bullied by peers at T1, T2, and T3, respectively. The temporal network suggested that individual-level (sex, depression, and anxiety), family-level (child abuse), school-level (satisfaction with classmates), and social-level (satisfaction with society) factors were associated with bullying victimization. The node with the greatest centrality strength was anxiety. Notably, relationship with teachers and classmates were the unique nodes in the T2 → T3 replication network.

LIMITATIONS

The sample is unrepresentative, as it is from only one middle school.

CONCLUSIONS

The findings provide important insights into bullying victimization prevention and intervention among Chinese early adolescents: 1) highlighting the importance of joint interventions across multiple departments; 2) focusing on the most central factors of bullying victimization; and 3) considering the effect of time when exploring the correlates of bullying victimization.

Risk factors of suicidal behaviors in a high-risk longitudinal veteran sample: A network analysis

INTRODUCTION

Suicide is a substantial public health burden, particularly among veterans. Risk factors have been delineated for suicide; however, the dynamic interrelations between risk factors have not been fully examined. Such research has the potential to elucidate processes that contribute to suicide risk between individuals with a past suicide attempt (attempters) and those without a past suicide attempt (nonattempters).

METHODS

In the current study, network analysis was used to compare networks between attempters and nonattempters in a high-risk veteran sample (N = 770; M_age  = 32.3 years, SD = 6.8; 326 with a past suicide attempt) who were followed over 1 year. Networks were estimated to examine (1) concurrent relations of suicide risk factors at baseline and (2) predictability of prospective suicidal behavior (SB).

RESULTS

There were no differences in the overall connectivity of attempter and nonattempter networks. Perceived burdensomeness and posttraumatic stress disorder (PTSD) symptoms were most central in the attempters' network, whereas PTSD symptoms and insomnia were most central in the nonattempters' network. The risk factors prospective SB in either network. However, attempters were more likely to engage in SB over the course of the study.

CONCLUSION

These findings highlight the difficulty in predicting who will attempt suicide.

Network structure of insomnia and depressive symptoms among shift workers in China

A bidirectional relationship between insomnia and depression has been observed. However, few studies have used network analysis to explore the interaction patterns in that association at the symptom level. This study aimed to estimate network structures of insomnia and depressive symptoms among shift workers, as well as to compare the differences in network properties between individuals without and with insomnia symptoms and/or at risk of depression. A total of 1883 shift workers were included in our study. Insomnia symptoms were evaluated by three items based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders, and depressive symptoms were assessed by the Center for Epidemiologic Studies Depression Scale. Network analyses were used for the statistical analysis. "Difficulty initiating sleep", "Hard to get started", and "Depressed mood" with higher expected influence (EI) values were identified as the most central symptoms within the insomnia-depressive networks among shift workers. The significant differences between individuals without and with insomnia symptoms and/or at risk of depression were observed in symptoms of "Difficulty initiating sleep" and "Hard to get started". "Depressed mood", "Difficulty initiating sleep", or "Hard to get started" were the most key symptoms that trigger and sustain the structure of insomnia and depressive symptom among shift workers. Hence, timely intervention for the above three symptoms in future research or clinical practice (e.g., cognitive behavioral therapy for insomnia) may be crucial in alleviating insomnia and depressive symptoms among shift workers.

Using network analysis to explore the key bridge symptoms between posttraumatic stress symptoms and posttraumatic growth among survivors 10 years after the Wenchuan earthquake in China

Despite previous research has illustrated there is high-coexistence between posttraumatic stress disorder (PTSD) and posttraumatic growth (PTG) in the aftermath of traumatic events, few studies have conceptualized the coexistence mechanism of the two psychological phenomena. Using the network analysis, this study aimed to identify the key bridge symptoms and compare sex differences between PTSD symptoms and PTG elements in survivors 10 years after the Wenchuan earthquake in China. A total of 744 survivors 10 years after the Wenchuan earthquake in China completed self-reported questionnaires on demographics, PTSD symptoms (4-item of Posttraumatic Stress Disorder Checklist), and PTG (10-item of Posttraumatic Growth Inventory). Network analysis was used to identify the network structure of PTSD symptoms and elements of PTG, along with bridge symptoms. Additionally, sex differences in the network structure were compared by the Network Comparison Test. Results revealed that the network of PTSD symptoms and elements of PTG was robust to stability and accuracy tests. The key bridge symptoms in the network were "Stronger religious faith", "Changed priorities", and "Easily startled". There were significant differences in network global strength across sex, and network structure across the severity of property loss other than house damage. Future interventions targeting the three key bridge symptoms are expected to relieve the severity of PTSD and promote growth following exposure to traumatic events.

Risk factors for suicidal behaviour in late-life depression: A systematic review

BACKGROUND

Suicide is a leading cause of preventable death worldwide, with its peak of maximum incidence in later life. Depression often puts an individual at higher risk for suicidal behaviour. In turn, depression deserves particular interest in old age due to its high prevalence and dramatic impact on health and wellbeing.

AIM

To gather integrated evidence on the potential risk factors for suicide behaviour development in depressive older adults, and to examine the effects of depression treatment to tackle suicide behaviour in this population.

METHODS

A systematic review of empirical studies, published from 2000 onwards, was conducted. Suicidal behaviour was addressed considering its varying forms (i.e., wish to die, ideation, attempt, and completed suicide).

RESULTS

Thirty-five papers were selected for review, comprising both clinical and epidemiological studies. Most of studies focused on suicidal ideation (60%). The studies consistently pointed out that the risk was related to depressive episode severity, psychiatric comorbidity (anxiety or substance use disorders), poorer health status, and loss of functionality. Reduced social support and loneliness were also associated with suicide behaviour in depressive older adults. Finally, the intervention studies showed that suicidal behaviour was a robust predictor of depression treatment response. Reductions in suicidal ideation were moderated by reductions in risk factors for suicide symptoms.

CONCLUSION

To sum up, common and age-specific risk factors seem to be involved in suicide development in depressive older adults. A major effort should be made to tackle this serious public health concern so as to promote older people to age healthily and well.

A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression

The network theory of psychopathology proposes that mental disorders arise from direct interactions between symptoms. This theory provides a promising framework to understand the development and maintenance of mental disorders such as depression. In this narrative review, we summarize the literature on network studies in the field of depression. Four methodological network approaches are distinguished: (i) studies focusing on symptoms at the macro-level vs. (ii) on momentary states at the micro-level, and (iii) studies based on cross-sectional vs. (iv) time-series (dynamic) data. Fifty-six studies were identified. We found that different methodological approaches to network theory yielded largely inconsistent findings on depression. Centrality is a notable exception: the majority of studies identified either positive affect or anhedonia as central nodes. To aid future research in this field, we outline a novel complementary network theory, the momentary affect dynamics (MAD) network theory, to understand the development of depression. Furthermore, we provide directions for future research and discuss if and how networks might be used in clinical practice. We conclude that more empirical network studies are needed to determine whether the network theory of psychopathology can indeed enhance our understanding of the underlying structure of depression and advance clinical treatment.