To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge-org.demo.remotlog.com
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Childhood irritability and harsh parenting are associated with youth suicide attempts. Parents’ harsh reactions have been associated with children’s irritable behavior. While studies have shown individual associations of irritability and parenting behaviors with suicide risk, few have considered these factors jointly. We aimed to identify profiles of children based on irritability and parenting during childhood and examine their associations with youth suicide attempt.
Methods
Participants (N = 1626) were from the Québec Longitudinal Study of Child Development. Mothers reported on childhood irritability, harsh parenting, and positive parenting between ages 3.5 and 8; youth self-reported suicide attempt between ages 13 and 23.
Results
We identified four profiles based on the joint development of irritability and parenting during childhood: (1) low irritability, low harsh parenting, and high positive parenting (30.3%); (2) moderate irritability, moderate harsh parenting, and high positive parenting (28.4%); (3) moderate irritability, moderate harsh parenting, and low positive parenting (26.6%); and (4) high irritability, high harsh parenting, and low positive parenting (14.8%). In logistic regression analyses, only children in the high irritability, high harsh parenting, and low positive parenting profile had higher odds of attempting suicide (OR = 2.51; 95% CI = 1.55–4.09) compared to those in the low irritability, low harsh parenting, and high positive parenting profile. This association remained significant (OR = 1.80; 95% CI = 1.03–3.15) in models adjusting for covariates.
Conclusion
Children with chronically high irritability were also those experiencing the harshest parenting and the least positive parenting, as well as those most at risk of suicide attempt. Targeting both child and parental behavior may maximize suicide prevention efforts among children with high irritability.
Plant-based diets may improve mental health among older adults by alleviating depression and improving life satisfaction. This study aimed to explore the associations between plant-based dietary pattern trajectories (PDPT), depression and life satisfaction in Chinese older adults. Data of participants from the 2008–2018 Chinese Longitudinal Healthy Longevity Survey were analysed. We utilised group-based trajectory modelling to identify the PDPT. Logistic and linear regression models were used to analyse the associations between PDPT, depression and life satisfaction. In total, 1835 participants were divided into three groups based on plant-based dietary index (PDI), healthy plant-based dietary index (HPDI) or unhealthy plant-based dietary index (UPDI) trajectories, respectively, and the PDPT were maintained at stable levels. PDI trajectory was not significantly associated with depression or life satisfaction. HPDI trajectory had no significant association with depression. However, compared with low HPDI trajectory, participants in the high (β = 0·185, 95 % CI: 0·032, 0·337) HPDI trajectories had higher life satisfaction. Compared with the low UPDI trajectory, participants in the high UPDI trajectory groups were associated with a higher risk of depression (OR = 1·793, 95 % CI: 1·124, 2·861). Further, the medium (β = −0·145, 95 % CI: −0·273, −0·018) and high (β = −0·335, 95 % CI: −0·478, −0·191) UPDI trajectory were associated with poor life satisfaction. Dietary interventions should be prioritised to address the persistent unhealthy dietary habits among Chinese older adults, with particular emphasis on reducing UPDI to enhance mental health by promoting intake of healthy plant-based and animal-based foods while avoiding unhealthy plant-based foods.
Our understanding of the stability in attachment during the first two decades of life is limited because i) ambiguity concerning the term ‘stability’ and ii) children have not been repeatedly followed up, leaving how attachment develops from childhood to adolescence uncharted. A birth cohort sample from Norway (n = 952) was examined with observational measures of attachment at ages 4, 6, 10, 12, 14, and 16 years to provide data on four aspects of stability: i) stability at the group level: avoidant and disorganized attachment decreased throughout development; ii) stability relative to the group increased with increasing age; secure attachment at ages 4 and 6 was weakly correlated with attachment in adolescence; other attachment strategies evinced no stability; iii) stability relative to oneself followed the above correlational pattern, but two latent classes both best described the individual trajectories of secure and ambivalent attachment; iv) stability of changes: changes in attachment styles from 4 to 6 did not forecast level or change in attachment in adolescence. Finally, I found little support for an early-formed prototype being responsible for stability. In sum, there was little continuity in attachment from childhood to adolescence, and the development in security and ambivalence might both follow two different trajectories.
The months following psychiatric hospitalization are associated with heightened suicide risk among adolescents. Better characterizing predictors of trajectories of suicidal ideation (SI) post-discharge is critical.
Method
We examined trajectories of SI over 18 months post-discharge and emotional processing variables (recognition, reactivity, and regulation) as predictors using a multi-method approach. Participants were 180 adolescents recruited from a pediatric psychiatric inpatient unit, assessed during hospitalization and 3, 6, 12, and 18-months post-discharge. At each time-point, participants reported on SI; at baseline, they completed measures of emotion dysregulation, reactivity, and a behavioral task measuring facial emotion recognition.
Results
A three-group model best fits the data (Chronic SI, Declining SI, and Subthreshold SI groups). The Chronic SI group, compared to the Declining SI group, had greater difficulty identifying children’s sad facial expressions. The Declining SI group compared to the Subthreshold SI group reported greater overall emotion dysregulation and difficulties engaging in goal-directed behavior. No other emotional processing variable was significantly associated with specific SI trajectories.
Conclusions
The findings suggest that difficulties in properly identifying peer emotions may be predictive of resolution of severe SI post-discharge. Furthermore, the results suggest that emotion regulation may be an important target for discharge planning.
Little is known about the diagnostic trajectories following a first psychiatric diagnosis in childhood or adolescence. Such knowledge could aid clinicians in treatment, risk prediction, and psychoeducation. This study presents a comprehensive nationwide overview of diagnostic trajectories in children and adolescents after their first diagnosis in child and adolescent psychiatric hospitals.
Methods
Patients aged 0 to 17 years who received their first psychiatric diagnosis between January 1996 and December 2011 were identified through the Danish National Patient Registries. Shifts at the International Classification of Diseases (ICD-10) two-cipher level (F00-F99), grouped into 19 categories, were identified. Subsequent diagnoses during 10 years of follow-up until December 2021 were identified and analyzed using state sequence analysis and Cox proportional hazard regression models.
Results
A total of 77,464 children and adolescents (32,733 [42.26%] girls) were identified with a first-time psychiatric diagnosis. Among these, 46.7% of girls and 37.6% of boys had at least one diagnostic shift after 10 years of follow-up. High entropy and low diagnostic stability were found in first-time diagnoses often presenting in adolescence, such as affective disorders, psychotic illness, and personality disorders, while lower entropy and high diagnostic stability were found in neurodevelopmental disorders and eating disorders. For most categories, girls had higher mean entropy measures than boys (P < 0.05).
Conclusions
Diagnostic shifts are common in child and adolescent psychiatric services, particularly when the first contact occurs in adolescence. Adequate focus on psychoeducation about emerging diagnostic shifts, and on timely detection, particularly in girls, and particularly in adolescence, is warranted.
Chapter 7 discusses the short-term timescale of artistic activity, which includes both the creation and experience of art and shows how the creation or the experience of a painting or installation is a dynamic system with typical features of complexity. The creation of a work of art is described as a process in an attractor landscape, with self-organizing attractors as emergent types of creative activity. Existing linear models of creation are compared to a complexity model. An example is given of how a very short-term activity, namely, a single brushstroke, is a complex system in itself, interacting with higher and lower timescales. The discussion of the experience of art begins with existing sequential models and shows how they can be reinterpreted as non-linear, complex, metastable processes occurring on interacting timescales.
The association between negative wealth shocks and depression among middle-aged and older individuals remains unclear. Our study aimed to assess the association between negative wealth shocks and depression and its trajectories, and to explore cross-national differences in these associations
Methods
Our sample included 21 999 participants, of which 9519 were from the Health and Retirement Study (2012–2020), 4936 from the English Longitudinal Study of Ageing (2012–2020), 2520 from the China Health and Retirement Longitudinal Study (2011–2020), and 5024 from the Mexican Health and Aging Study (2012–2021). We used latent class trajectory models to identify depressive trajectories, alongside mixed-model logistic regression and multinomial logistic regression to evaluate associations.
Results
In the USA (OR 1.73, 95% CI 1.40–2.16), England (OR 1.71, 95% CI 1.09–2.70), and China (OR 1.38, 95% CI 1.09–1.75), negative wealth shocks were associated with subsequent depressive symptoms, but not in Mexico (OR 1.06, 95% CI 0.86–1.29). Additionally, negative wealth shocks were associated with several depressive trajectories in the USA and China. This association occurred only in increasing–decreasing trajectory in England, while no significant association was found across any trajectory in Mexico.
Conclusions
Negative wealth shocks were associated with subsequent depressive symptoms, with significant associations observed in some specific depressive trajectories. These associations exhibited cross-national differences, underscoring the importance of considering country-specific contexts when addressing the mental health impacts of wealth shocks.
The clinical course of major depressive disorder (MDD) is heterogeneous, and early-onset MDD often has a more severe and complex clinical course. Our goal was to determine whether polygenic scores (PGSs) for psychiatric disorders are associated with treatment trajectories in early-onset MDD treated in secondary care.
Methods
Data were drawn from the iPSYCH2015 sample, which includes all individuals born in Denmark between 1981 and 2008 who were treated in secondary care for depression between 1995 and 2015. We selected unrelated individuals of European ancestry with an MDD diagnosis between ages 10–25 (N = 10577). Seven-year trajectories of hospital contacts for depression were modeled using Latent Class Growth Analysis. Associations between PGS for MDD, bipolar disorder, schizophrenia, ADHD, and anorexia and trajectories of MDD contacts were modeled using multinomial logistic regressions.
Results
We identified four trajectory patterns: brief contact (65%), prolonged initial contact (20%), later re-entry (8%), and persistent contact (7%). Relative to the brief contact trajectory, higher PGS for ADHD was associated with a decreased odds of membership in the prolonged initial contact (odds ratio = 1.06, 95% confidence interval = 1.01–1.11) and persistent contact (1.12, 1.03–1.21) trajectories, while PGS-AN was associated with increased odds of membership in the persistent contact trajectory (1.12, 1.03–1.21).
Conclusions
We found significant associations between polygenic liabilities for psychiatric disorders and treatment trajectories in patients with secondary-treated early-onset MDD. These findings help elucidate the relationship between a patient's genetics and their clinical course; however, the effect sizes are small and therefore unlikely to have predictive value in clinical settings.
Emotional problems, especially anxiety, have become increasingly common in recent generations. Few population-based studies have examined trajectories of emotional problems from early childhood to late adolescence or investigated differences in psychiatric and functional outcomes.
Methods
Using the Avon Longitudinal Study of Parents and Children (ALSPAC, n = 8286, 50.4% male), we modeled latent class growth trajectories of emotional problems, using the parent-reported Strength and Difficulties Questionnaire emotional scale (SDQ-E) on seven occasions (4–17 years). Psychiatric outcomes in young adulthood (21–25 years) were major depressive disorder (MDD), generalized anxiety disorder (GAD), and self-harm. Functional outcomes were exam attainment, educational/occupational status, and social relationship quality.
Results
We identified four classes of emotional problems: low (67.0%), decreasing (18.4%), increasing (8.9%), and persistent (5.7%) problems. Compared to those in the low class, individuals with decreasing emotional problems were not at elevated risk of any poor adult outcome. Individuals in the increasing and persistent classes had a greater risk of adult MDD (RR: 1.59 95% CI 1.13–2.26 and RR: 2.25 95% CI 1.49–3.41) and self-harm (RR: 2.37 95% CI 1.91–2.94 and RR: 1.87 95% CI 1.41–2.48), and of impairment in functional domains. Childhood sleep difficulties, irritability, conduct and neurodevelopmental problems, and family adversity were associated with a persistent course of emotional problems.
Conclusions
Childhood emotional problems were common, but those whose symptoms improved over time were not at increased risk for adverse adult outcomes. In contrast, individuals with persistent or adolescent-increasing emotional problems had a higher risk of mental ill-health and social impairment in young adulthood which was especially pronounced for those with persistent emotional problems.
This chapter examines how early relationships become established relationships. It reviews varying relationship trajectories (e.g., ascent, peak, and descent) and then describes the three key components of the relationship that develop over time: love, intimacy, and commitment. First, the chapter defines and differentiates the various forms of love (e.g., passionate love, companionate love, compassionate love) and reviews how love develops and changes over time. Second, this chapter explores how interpersonal intimacy develops through repeated instances of self-disclosure and perceived partner responsiveness and how developing intimate relationships change the self. Third, this chapter reviews how people make and communicate their commitment decisions, as well as how social network members shape commitment. Finally, it provides an overview of common major transitions (cohabitation, marriage, parenthood) and some key challenges therein.
Patients with remitted psychosis wish to reduce antipsychotic doses yet facing increased risks of relapse. Examining dose-tapering processes may provide insights to re-evaluate the risk-to-benefit balance. We aimed to depict and subgroup tapering trajectories, and explore factors associated with different dose-reduction patterns.
Methods
A 2-year open-label randomized prospective comparative trial from August 2017 to September 2022 in Taiwan. Patients with a history of schizophrenia-related psychotic disorders under stable medications and symptoms were eligible, randomizing a proportion to conduct guided dose reduction. We depicted the trajectories of individual patients and named subgroups based on dose-tapering patterns. Predictors of baseline characteristics for designated subgroups were examined by logistic regression analysis; changes in outcomes were compared by paired t-test.
Results
Fifty-one patients undergoing guided dose reduction, 18 (35.3%) reduced 4 steps consecutively (sequential reducers, SR), 14 (27.5%) reduced 1 to 3 steps (modest reducers, MR), 3 (5.9%) re-escalated to previous level (alert reducers, AR), 7 (13.7%) returned to baseline level (baseline returners, BR), 6 (11.7%) relapsed (failed reducers, FR) and 3 (5.9%) withdrew without relapse (early exits, EE). Patients with a history of relapse assumed a conservative dose-tapering pace; only the SR subgroup exhibited significant improvements in functioning and quality of life while failing to identify variables for predicting who would become SR or FR.
Conclusions
Guided dose reduction comprises dynamic processes with differences between individual trajectories. The proposed naming of dose-tapering patterns/subgroups provides a framework depicting patients undergoing dose-tapering. Longer-term observation and more flexible tapering approaches are anticipated to reveal favorable outcomes.
This paper introduces a novel approach for extracting vessel navigation patterns from very large automatic identification system (AIS) trajectory big data. AIS trajectory data records are first converted to a series of code documents using vector quantisation, such as k-means and PQk-means algorithms, whose performance is evaluated in terms of precision and computational time. Therefore, a topic model is applied to these code documents from which vessels’ navigation patterns are extracted and identified. The potential of the proposed approach is illustrated by several experiments conducted with a practical AIS dataset in a region of North West France. These experimental results show that the proposed approach is highly appropriate for mining AIS trajectory big data and outperforms common DBSCAN algorithms and Gaussian mixture models.
Nonsuicidal self-injury (NSSI) is prevalent in adolescent clinical samples. There is evidence that NSSI can be treated effectively but data on individual treatment outcomes is limited. The goal of this study was to examine response, remission, exacerbation, and relapse rates over one and two years, respectively, among a clinical sample of adolescents with NSSI. Furthermore, we aimed to identify clinically relevant predictors of NSSI trajectories.
Methods
The sample consists of n = 203 adolescents (12–17 y., 94% female) from a specialized outpatient clinic for risk-taking and self-harming behavior with NSSI on at least five days in the six months before first assessment. Assessments were completed at baseline and one (FU1) and two (FU2) years later using structured clinical interviews and self-report questionnaires.
Results
At FU1, 75% reported a reduction in NSSI frequency by at least 50% (treatment response); among those, one third (25% of the entire sample) achieved a remission (0 NSSI); an exacerbation (⩾50% more NSSI) was observed in 11% of patients. Of those in remission, 41% relapsed one year later. Predictors of non-response or non-remission were inpatient treatment and depressive symptoms. Adolescents with lower NSSI frequency at baseline had a higher risk of exacerbation. Due to limited sample size at FU2 no prediction model for relapse was established.
Conclusions
While most adolescents presenting with NSSI achieved significant improvement, more attention should be paid to the rather low rates of full remission. Prediction and early detection of individuals who deteriorate during or relapse after treatment is critical.
Previous chapters have all developed in different ways the core idea that cognition is information processing. This chapter looks at a very different approach, using dynamical systems theory's mathematical and conceptual tools to model cognitive skills and abilities. The first section explains how how dynamical systems theory can describe cognitive skills and abilities without using the framework of representation and information processing. The second section examines how dynamical systems theory explains two examples of child development, with particular attention to the time-sensitive nature of the dynamic system theory in these examples.
Alcohol use and dependence are strongly affected by variation in aldehyde dehydrogenase (ALDH2) and, to a lesser extent, alcohol dehydrogenase (ADH1B) genes. We use this genetic variation with an adoption design to test the causal role of alcohol use on other drug use, as well as the moderating role of adoptive parent, sibling, and peer alcohol use. Longitudinal models were run on 412 genotyped adopted individuals of East Asian ancestry with multiple assessments between ages 14 and 40. We found robust associations between alcohol frequency, quantity, and maximum drinks and ALDH2, but not ADH1B, status. The magnitude of the ALDH2 protective effect increased with age, particularly for maximum drinks, though estimates were smaller than previously reported in ancestrally similar individuals in East/North-East Asian countries. These results suggest that sociocultural factors in Minnesota may reduce the protective effects of ALDH2. We found that peer alcohol use, but not parent or sibling use, predicted adopted offspring’s use, and that these environmental influences did not vary by ALDH2 status. Finally, we did not find strong evidence of associations between ALDH2 status and tobacco, marijuana, or illegal drug use, contrary to expectation if alcohol serves as a gateway to use of other drugs.
Ship anomaly detection is a vital aspect for monitoring navigational safety in specific water areas. Considering the effect of water channel boundaries, we propose the detection of an abnormal ship trajectory based on the complex polygon (DATCP) method to detect ship anomalies in this study. With the automatic identification systems (AIS) data from the Yangtze River estuary, a case study is created to verify the effectiveness of the proposed DATCP method. The case study results reveal that the proposed DATCP method can provide higher detection accuracy than the conventional A* algorithm. The feature analysis results indicate that ship anomalies are significantly influenced by ship type, time period, weather conditions and ship traffic characteristics.
First responders to disasters are at risk of developing post-traumatic stress disorder (PTSD). The trajectories of post-traumatic stress symptom severity differ among individuals, even if they are exposed to similar events. These trajectories have not yet been reported in non-Western first responders.
Aims
We aimed to explore post-traumatic stress symptom severity trajectories and their risk factors in first responders to the 2011 Great East Japan Earthquake (GEJE) – a historically large earthquake that resulted in a tsunami and a nuclear disaster.
Method
A total of 55 632 Japan Ground Self-Defense Force (JGSDF) personnel dispatched to the GEJE were enrolled in this 7-year longitudinal cohort study. PTSD symptom severity was measured using the Impact of Event Scale-Revised. Trajectories were identified using latent growth mixture models (LGMM). Nine potential risk factors for the symptom severity trajectories were analysed using multinomial logistic regression.
Results
Five symptom severity trajectories were identified: ‘resilient’ (54.8%), ‘recovery’ (24.6%), ‘incomplete recovery’ (10.7%), ‘late-onset’ (5.7%), and ‘chronic’ (4.3%). The main risk factors for the four non-resilient trajectories were older age, personal disaster experiences and working conditions. These working conditions included duties involving body recovery or radiation exposure risk, longer deployment length, later or no post-deployment leave and longer post-deployment overtime.
Conclusions
The majority of first responders to GEJE were resilient and developed few or no PTSD symptoms. A substantial minority experienced late-onset and chronic symptom severity trajectories. The identified risk factors can inform policies for prevention, early detection and intervention in individuals at risk of developing symptomatic trajectories.
When conducting accident analysis, the assessment of risk is one of the important links. Moreover, with regards to crew training, risk cognition is also an important training subject. However, most of the existing researches only rely on a single or a few data sources. It is necessary to fuse the collected multi-source data to obtain a more comprehensive risk evaluation model. There are few studies on the three-dimensional (3D) multi-modal data-fusion-based trajectory risk cognition. In this paper, a fuzzy logic-based trajectory risk cognition method is proposed based on multi-model spatial data fusion and accident data mining. First, the necessity of multi-model spatial data fusion is analysed and a data-fusion-based scene map is constructed. Second, a risk cognition model fused by multiple factors, multi-dimensional spatial calculations as well as data mining results is proposed, including a novel ship boundary calculation approach and newly constructed factors. Finally, a radar chart is used to illustrate the risk, and a risk cognition system is developed. Experiment results confirm the effectiveness of the method. It can be applied to train human operators of unmanned ship systems.
Any assessment of the international investment regime and its legitimacy crisis requires a preliminary understanding of their important and relevant features. However, the sprawling nature of both defies most doctrinal and qualitative attempts at description. The regime is based on a decentralized network of legal instruments, different procedural mechanisms and ad hoc proceedings, while the accompanying chorus of critique and counter-critique is populated with multiple actors and interests across the world. This chapter seeks to capture this distinct and fragmented universe. First, the authors map consent to arbitration, not on a generic per signed bilateral investment treaty basis, but rather by tracking multilateral, bilateral and unilateral consents in force. Second, they provide a description and overview of the over 1,100 registered cases up to January 2020, focusing inter alia on case outcomes, rules, cases types, institution, parties, economic sector and legal basis. Third, they trace discontent with regime, charting the origin of legitimacy crisis and its maturing over time. It ends by discussing both state-led efforts at reform and the extent to which arbitrators themselves have adjusted reflexively to the backlash.
While the Research Domain Criteria (RDoC) acknowledges that environmental and developmental influences represent important elements of the RDoC framework, there is little specificity regarding how and when to systematically examine the impact of these dimensions on domains of function. The primary aims of this paper are to demonstrate the ways in which the RDoC can be expanded to include an explicit emphasis on (a) assessing within-individual change in developmental processes over time and (b) evaluating the extent to which selective and measurable environmental influences drive meaningful change during key developmental periods. We provide data from an ongoing randomized control trial as a proof of concept to highlight how repeated assessments within an experimental intervention design affords the unique opportunity to test the impact of environmental influences on within-individual change. Using preliminary data from 77 mother–child dyads repeatedly assessed across 12 months during the sensitive preschool period, we demonstrate the impact of change in maternal emotion regulation (ER) on within-individual growth in child ER and link that growth to fewer teacher-reported externalizing problems. In line with this Special Issue, findings are discussed within the context of expanding and clarifying the existing RDoC framework to explicitly incorporate environmental and developmental dimensions.