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Objective: Longitudinal changes in physical activity (PA) and sedentary behavior patterns from preconception to postpartum are not fully characterized. We examined changes and baseline sociodemographic/clinical correlates of PA and sedentary behavior in women from preconception to postpartum. Methods: The Singapore Preconception Study of Long-Term Maternal and Child Outcomes cohort recruited 1032 women planning pregnancy. Participants completed questionnaires at preconception, 34 to 36 weeks gestation, and 12 months postpartum. Repeated-measures linear regression models were used to analyze changes in walking, moderate to vigorous PA (MVPA), screen time, and total sedentary time, and to identify sociodemographic/clinical correlates associated with these changes. Results: Of the 373 women who delivered singleton live births, 281 provided questionnaires for all time points. Walking time increased from preconception to late pregnancy but decreased postpartum (adjusted means [95% CI]: 454 [333–575], 542 [433–651], and 434 [320–547] min/wk, respectively). Vigorous-intensity PA and MVPA decreased from preconception to late pregnancy but increased postpartum (vigorous-intensity PA: 44 [11–76], 1 [−3–5], and 11 [4–19] min/wk, MVPA: 273 [174–372], 165 [95–234], and 226 [126–325] min/wk, respectively). Screen time and total sedentary time remained consistent from preconception to pregnancy but decreased postpartum (screen: 238 [199–277], 244 [211–277], and 162 [136–189] min/d, total: 552 [506–598], 555 [514–596], and 454 [410–498] min/d, respectively). Individual characteristics of ethnicity, body mass index, employment, parity, and self-rated general health significantly influenced women's activity patterns. Conclusion: During late pregnancy, walking time increased, while MVPA declined significantly, and partially returned to preconception levels postpartum. Sedentary time remained stable during pregnancy but decreased postpartum. The identified set of sociodemographic/clinical correlates underscores need for targeted strategies. [ABSTRACT FROM AUTHOR]

Background: The relationship between public health emergencies and psychological distress had been well known, yet none research had been conducted on the trend in psychological resilience and its longitudinal determinants during the pandemic. This study aimed to explore the changes of psychological resilience of university students during COVID-19 pandemic, and further clarify the longitudinal relationship between family factors, mental health, social mentality and psychological resilience. Methods: Questionnaires were distributed to students from five universities in Shandong Province, China during the COVID-19. A total of 1635 students were finally included in this three-wave follow-up study using stratified random sampling method. Mental health was assessed by Depression Anxiety Stress Scale, social mentality was measured by the Bi-Dimensional Structure Questionnaire of Social Mentality, psychological resilience was evaluated by the Chinese version of the Psychological Resilience Scale. Repeated-measures analysis of variance was used to analyze the longitudinal changes of psychological resilience, generalized estimating equation (GEE) was conducted to estimate the determinants of psychological resilience. Results: Psychological resilience changed from 28.37 in Wave 1, 29.10 in Wave 2, and 29.15 in Wave 3 among the university students. The students who majored in Art (β = 0.872, P = 0.032), parents (mother β = 0.546, P = 0.035; father β = 0.718, P = 0.012) had a greater influence on children's personality, and positive social mentality (β = 5.725, P < 0.001) were more likely to report a higher psychological resilience. Being female (β=-0.932, P < 0.001), not being a student leader (β=-0.911, P < 0.001), being anxious (β=-1.845, P < 0.001) and depressed (β=-1.846, P < 0.001), and negative social mentality (β=-0.803, P < 0.001) were less likely to report a higher psychological resilience. Conclusions: The psychological resilience of the university students in Shandong Province, China increased significantly from Wave 1 to Wave 3 during the COVID-19 pandemic. Majoring in Art, parents having a greater influence on children's personality, better mental health, positive social mentality were more likely to report a higher psychological resilience, while female, not student leader, worse mental health, and negative social mentality were less likely to report a higher the psychological resilience. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic's "Great Online Transition" significantly impacted teachers. Existing research on Emergency Remote Teaching (ERT) lacks longitudinal designs and consideration of subject-specific contexts. This study, using the Stressor-Strain-Outcome framework, investigates psychological needs thwarting (PNT) during ERT on teachers' well-being and online teaching intentions, considering subject of instruction as a potential factor. Methods: Data were collected from 1,369 Chinese primary and middle school teachers of Chinese literature, mathematics, and English as a Foreign Language (EFL) at two time points: two weeks after ERT implementation (Time 1, mid-November 2021) and two months later, after returning to face-to-face teaching (Time 2, mid-January 2022). PNT, emotional exhaustion, psychological distress, and intention towards online teaching were evaluated. Results: Among the types of PNT, competence thwarting emerged as the strongest predictor of emotional exhaustion, which was, in turn, associated with reduced online teaching intention and increased psychological distress. EFL teachers showed stronger associations between PNT, emotional exhaustion, and adverse outcomes, indicating higher susceptibility to strain during ERT. Conclusion: Subject of instruction, particularly for EFL teachers, significantly influences the relationship between PNT and teacher outcomes during ERT. Our findings underscore the need for subject-specific support strategies in online teaching environments. [ABSTRACT FROM AUTHOR]

This study examined the modifying effects of surgery status on the association between the Standard Deviation of NN Intervals (SDNN) of the heart rate variability and the post-traumatic stress disorder (PTSD) development. Participants with physical injury were recruited from a trauma center and followed for two years. Baseline assessment included SDNN and surgery status. Socio-demographic and clinical covariates were collected. PTSD was diagnosed at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5. Logistic regression analyses were performed. Among 538 participants, 58 (10.8%) developed PTSD during the study, with prevalence rates of 8.4% at 3 months, 6.5% at 6 months, 4.7% at 12 months, and 2.5% at 24 months. A significant modifying effect was found that lower SDNN were significantly associated with PTSD in non-surgical patients but not in surgical patients, with significant interaction terms. This pattern was observed from 3 to 12 months but not at 24 months. Surgery-dependent associations between SDNN and PTSD development were observed, highlighting the need for tailored PTSD prevention strategies considering SDNN and surgery status. [ABSTRACT FROM AUTHOR]

Background: The cardiometabolic index (CMI) has emerged as a novel marker for evaluating the distribution and dysfunction of visceral adipose tissue, yet its correlation with numerous diseases, particularly new-onset chronic conditions, remains underexplored. Therefore, we aim to explore the association of cardiometabolic index (CMI) and new-onset chronic diseases. Methods: The analysis utilized data from the China Health and Retirement Longitudinal Study, with a baseline in 2011 and follow-ups biennially until 2020. Fourteen new-onset chronic diseases were diagnosed based on self-report, and separate cohorts were created for each disease. CMI was calculated as triglycerides/ high-density lipoprotein cholesterol multiplied by the waist-to-height ratio. Cox proportional hazards models were used to assess the association between CMI and new-onset chronic diseases, while restricted cubic spline (RCS) models were employed to explore potential nonlinear effects. Additional and sensitivity analyses included Kaplan-Meier survival curves, subgroup analyses, multiple imputations, and exclude outcome events at the first follow-up. Results: Higher levels of CMI were associated with an increased risk of new-onset hypertension (HR=1.05, 95% CI=1.04-1.06, P<0.001), diabetes (HR=1.08, 95% CI=1.06-1.09, P<0.001), dyslipidemia (HR=1.07, 95% CI=1.06-1.09, P<0.001), liver disease (HR=1.05, 95% CI=1.03-1.07, P<0.003), and stroke (HR=1.04, 95% CI=1.02- 1.06, P<0.001), although the association with stroke was not significant after adjusting for confounders (HR=1.02, 95% CI=1.00-1.05, P=0.054). Participants in the highest quartile of CMI had a significantly higher risk of these diseases compared to those in the lowest quartile. RCS analyses showed a significant nonlinear relationship between CMI and the risk of these diseases above. Conclusions: CMI showed a significant positive association with the risk of new- onset chronic diseases such as hypertension, diabetes, dyslipidemia, and liver disease. Future applications of CMI hold promise as an effective marker for early identification of chronic disease risk. [ABSTRACT FROM AUTHOR]

Purpose: The longitudinal association between changes in depressive symptoms (improvement/worsening) and arthritis is unclear. Methods: Study data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) 2011–2018. The 10-item Center for Epidemiological Studies Depression Scale (CES-D-10) was used to examine participant depressive symptoms and data on self-reported history of arthritis were collected. Depressive symptoms improving is defined as depression at baseline and no depression at follow-up. Similarly, depressive symptoms worsening is defined as no depression at baseline and depression at follow-up. Cox proportional hazards models were used to evaluate the effects of improvement or deterioration in depressive symptoms on arthritis. Participants with missing data on depression and arthritis, having arthritis in 2011 CHARLS and lost to follow-up was excluded. Results: A total of 8556 participants free of arthritis were included from 2011 to 2018. After adjustment for confounders, depressive symptoms were associated with a 54% increased risk of developing arthritis. Each 1-point increase in CES-D-10 score was associated with a 4% higher risk of arthritis. Participants with depressive symptoms at baseline but improved symptoms (without depressive symptoms) at follow-up had a 25% lower rate of arthritis, and a 1-point reduction in CES-D-10 score during 8 years of follow-up was associated with a 5% lower risk of developing arthritis. Participants with no depressive symptoms at baseline but depression at follow-up had a 66% higher rate of arthritis, and a 1-point increase in CES-D-10 score during 8 years of follow-up was associated with a 5% higher risk of arthritis. Conclusions: Improvement in depressive symptoms was associated with lower risk of arthritis and worsening of depression was associated with higher risk of arthritis. These findings suggest that the relationship between depression and arthritis is complex. [ABSTRACT FROM AUTHOR]

The Clubhouse model of psychosocial rehabilitation supports individuals with mental health challenges using a person centered and recovery-oriented approach. Clubhouses around the world have been found to be effective in supporting their member's recovery. However, there is a lack of multi-site and longitudinal studies on the Clubhouse model. Therefore, the purpose of the present study was to longitudinally assess the psychosocial outcomes of Clubhouse members across six accredited Clubhouses in Canada. Due to the COVID-19 pandemic occurring midway through the study, a secondary aim was to assess the impact of the pandemic on the psychosocial outcomes of Clubhouse members. A total of 462 Clubhouse members consented to participate in the study. Members completed a questionnaire battery every 6 months over a 2-year period (five data points total). The last three data points were collected during the COVID-19 pandemic. Psychosocial outcomes included mental health symptoms, substance use, community integration, and satisfaction with life, and were analyzed using multilevel growth models. The results indicated that satisfaction with life and psychological integration increased over the study period, while mental health symptoms, substance use, and physical integration decreased. Examining Clubhouse participation, length of Clubhouse membership and frequency of Clubhouse use predicted higher life satisfaction, lower substance use, and fewer mental health symptoms over the study period. The results of the present study provide invaluable insight into the psychosocial impact of Clubhouses on Canadian Clubhouse members, particularly during COVID-19. [ABSTRACT FROM AUTHOR]

This large-scale study characterizes the algebraic learning of a cohort of nearly 800 French students during the last year of middle school (9th grade, 14–15 years old) and examines their evolution in relation to the composition of the classes to which the students belong. Based on the Anthropological Theory of the Didactic (ATD), the study is founded both on a reference model of elementary algebra and on technological-theoretical levels characterizing the students' reasoning and their knowledge regarding institutional expectations. These are used to code the data and define the statistical variables on which multivariate descriptive analyses are carried out. Students' learning is analyzed through Pépite, an algebra test given at the beginning and at the end of the year. A cluster analysis resulted in three distinct clusters of similar classes and of similar students both at the beginning and end of the grade 9 school year. They are interpreted didactically and could be useful for a teacher who has to manage the heterogeneity of learning in a class. Some classes and students move from one cluster to another between the beginning and the end of the year, showing a wide variety of ways in which students' algebra learning progresses or regresses over a school year. [ABSTRACT FROM AUTHOR]

Life satisfaction is vital for older adults' well‐being, impacting various life aspects. It is dynamic, necessitating nuanced approaches to capture its trajectories accurately. This study aimed to explore the diverse trajectories and predictors of life satisfaction among older adults in China using longitudinal data from the China Health and Retirement Longitudinal Study. Latent class growth modeling and growth mixture modeling were employed to identify distinct trajectories of life satisfaction. Machine learning (ML) models were developed to predict different trajectories and identify important predictors of different trajectories. Four distinct trajectories of life satisfaction were identified, showcasing nuanced patterns of life satisfaction that changed over time. ML models, especially random forest, effectively predicted these trajectories. Emotional experiences (particularly the frequency of happiness and loneliness), body mass index, and self‐report health emerged as significant predictors of different life satisfaction trajectories. Our finding revealed the importance of focusing on individuals or groups with consistently low life satisfaction and paying more attention to mental and physical health predictors. Our models might guide future targeted preventative treatments. [ABSTRACT FROM AUTHOR]

Background: Anxiety is common, however, the effect of chronicity of anxiety on dementia has not been explored. This study aims to assess the longitudinal relationship between chronic versus resolved versus new onset anxiety, and all‐cause dementia risk. Methods: A total of 2132 participants with mean age 76 years from the Hunter Community Study were recruited. Anxiety was measured using Kessler Psychological Distress Scale (K10). Dementia was defined as per International Classification of Disease—10 codes. The Fine–Gray subdistribution hazard model was computed to assess dementia risk, while adjusting for the competing risk of death. Results: Chronic anxiety and new onset anxiety at follow‐up were associated with all‐cause dementia risk (HR 2.80, 95% CI 1.35–5.72 and HR 3.20, 95% CI 1.40–7.45 respectively) with an average time to dementia diagnosis of 10 years (SD = 1.7) whereas resolved anxiety was not. In subgroup analyses, these results were driven particularly by chronic and new anxiety among participants below the age of 70 years (HR 4.58, 95% CI 01.12–18.81 and HR 7.21, 95%CI 1.86–28.02 respectively). Sensitivity analyses imputing missing data and addressing reverse causation gave very similar results. Conclusion: Chronic and new anxiety were associated with increased risk of all‐cause dementia, and this association was significant in those 70 years and younger. However, the resolved anxiety at follow‐up reduced the risk, similar to that of the non‐exposed group. These results suggest that timely management of anxiety may be a viable strategy in reducing the risk of dementia. See related Editorial by Karp and Lenze. [ABSTRACT FROM AUTHOR]

Longitudinal studies provide developmental science with invaluable information about how variables and the associations between variables change across time, but typically give limited attention to the length of time over which that change occurs. The present study re-analyzed data from previously published meta-analyses of longitudinal data across a broad range of developmental science to ascertain how lag may have impacted coefficients of stability (k meta-analyses = 6, k studies = 157) and prediction (k meta-analyses = 15, k studies = 270). We additionally analyzed how average participant age interacts with lag to test how the impact of lag might change across the lifespan. Findings indicate that conventional lags (e.g., 6 months, 12 months) were used at extremely high rates: More than 75% of lags were selected based on convention. Linear and nonlinear models indicated that lag moderated stability and predictive associations, although the significance, magnitude, and direction of this impact changed depending on the phenomenon under investigation. Average participant age interacted with lag in certain cases, providing a possibility for more time-specific developmental theory. However, these results should not be considered conclusive due to the high number of conventional lags in our sample, which likely restricted both variability in lags and the length of those lags. Future longitudinal studies should measure phenomena at varying lags, and future meta-analysts should consider both lag and average participant age when synthesizing longitudinal research. Both practices would enable developmental science to determine the interval over which a phenomenon occurs and facilitate advancements in developmental theory. [ABSTRACT FROM AUTHOR]

The interaction between a mother and child stands as one of the most profound and intricate human connections, weaving a rich tapestry of behavioral and emotional bonds during the formative years. Although mother–child interactions have received substantial attention in the developmental science literature, few studies have tapped into the extensive corpus of speech data available to uncover the nuances of these interactions across developmental stages. This study applied text mining and sentiment analysis on narratives extracted from mother–child conversations to identify the developmental trend of mother–child interactions from early to middle childhood. The results, based on three key areas of dyadic interactions, demonstrated a shift toward more balanced turn-taking dynamics and linguistic congruence as children age. Also, there was a significant interdependence of mother and child expressed emotions across time. Further investigation of the dyadic emotionality revealed a nonlinear effect of mother-expressed emotion on child-expressed emotion: mother-expressed negative emotions followed a cubic-like pattern, while positive emotions followed a mild quadratic trend. Taken together, the findings of this study present a picture of progressive augmentation of mother–child synchrony over time. [ABSTRACT FROM AUTHOR]

Many existing student persistence and retention studies overlooked the different types of departure (e.g., dropout, transfer) and aggregate them into a single departure variable, as a result, the estimates from these studies are spurious when one is interested in what student characteristics prompt dropout but not transfer. This can be especially relevant when studying the departure behavior of specific student subgroups, such as first-generation students. In response to this shortcoming in previous studies, this study longitudinally analyzed first-generation students' dropout and transfer behaviors. Paired with nationally represented data, this study uncovered how various student characteristics impact dropout and transfer behaviors differently over time. First-generation students were more likely than students with college-educated parents to leave the system than to transfer. A higher sense of belonging was found to reduce the likelihood of students transferring to other institutions academic years one through four. [ABSTRACT FROM AUTHOR]

Objectives: Recent studies suggest that psychological resilience (PR) is associated with more well-preserved cognition in healthy subjects (HS), but an investigation of such phenomenon in patients with motor neuron diseases (MNDs) is still lacking. The aim of our study was therefore to evaluate PR and its relationship with baseline cognitive/behavioral and mood symptoms, as well as longitudinal cognitive functioning, in MNDs. Methods: 94 MND patients and 87 demographically matched HS were enrolled. PR was assessed using the Connor-Davidson Resilience Scale (CD-RISC). Patients were further evaluated both at baseline and every 6 months for cognitive/behavioral disturbances using the Edinburgh Cognitive and Behavioral ALS Screen (ECAS), and for mood symptoms using the Hospital Anxiety and Depression Scale (HADS). CD-RISC scores were compared between patients and HS using the Mann–Whitney U test, and regression models were applied to evaluate the role of CD-RISC scores in predicting baseline cognitive/behavioral and mood measures, as well as longitudinal cognitive performances, in MND patients. Results: MND cases showed significantly greater PR compared to HS (p from <0.001 to 0.02). In MNDs, higher PR levels were significant predictors of both greater cognitive performance (p from 0.01 to 0.05) and milder mood symptoms (p from <0.001 to 0.04) at baseline, as well as less severe memory decline (p from 0.001 to 0.04) longitudinally. Conclusions: PR is an important protective factor against the onset and evolution of cognitive/mood disturbances in MNDs, suggesting the usefulness of resilience enhancement psychological interventions to prevent or delay cognitive and mood disorders in these neurodegenerative conditions. [ABSTRACT FROM AUTHOR]

This longitudinal study is based on family systems theory and aims to explore the association between the quality of the separated parents' relationship and the frequency of father–child contact up to five years after parental separation. Using data collected from 408 families from the Quebec Longitudinal Study of Child Development (QLSCD), multilevel analyses and latent growth curve model were carried out. The results highlight a positive association between the separated parents' relationship and father–child contact and demonstrate the impact of the initial contact frequency on the evolution over time of the separated parents' relationship. They also highlight the contribution of custody tension, the child's age, the length of time the couple lived together, and the socio-economic status on the initial levels of the studied trajectories. [ABSTRACT FROM AUTHOR]

Young children's lie‐telling behavior is associated with their theory of mind (ToM) development. However, current evidence is primarily based on cross‐sectional studies, with very little longitudinal evidence on the causal relation between the two constructs. The current study provided much‐needed cross‐lagged longitudinal evidence on the association between ToM and lying in young children. Adopting a short‐term longitudinal design, we tested 104 normally developing children's (64 boys, M = 54.0 months) false belief understanding and lie‐telling behaviors three times at 4‐month intervals. Results showed the cross‐lagged model fit the data well. Lie‐telling behaviors exhibited moderate stability across the three time points, while ToM exhibited moderate stability between the first two time points but not between Time 2 and Time 3. Earlier false belief understanding significantly predicted children's later lie‐telling behavior, controlling for family socioeconomic status, child age, gender, only child status, and Time 1 verbal ability and inhibitory control. On the contrary, earlier lie‐telling did not predict later false beliefs understanding. We concluded that earlier false belief understanding predicts later lie‐telling behavior in preschool children, but not vice versa. [ABSTRACT FROM AUTHOR]

We have proposed a new variable called semi-ordinal variable. This variable exhibits a combination of responses, with a portion of them taking on ordinal values and the remaining values following a continuous distribution, often with truncation. In longitudinal analyses, variable of this type may be described by a pair of regression models, for example, one approach to analyze this variable is to use ordinal regression for the ordinal component and a conditional linear model for the continuous component. We have proposed a two - part ranom effects model for longitudinal semi-ordinal responses. A full likelihood-based approach that allows yielding maximum likelihood estimates of the model parameters is used. To illustrate the utility of the proposed model, we apply a new method for analysis outlier data. Also, the model is applied to using data from a large data set excerpted from the British Household Panel Survey (BHPS) is analyzed. [ABSTRACT FROM AUTHOR]

This study explores the longitudinal association between Theory of Mind (ToM) and reading comprehension (RC) in middle childhood, focusing on three advanced ToM (AToM) components: social reasoning, reasoning about ambiguity and recognition of social norm transgressions. Over the course of a year, 112 nine‐year‐olds (61 girls, 51 boys; Mage = 9; 0 years, ±4 months at wave 1) were followed from Grade 3 to Grade 4 and assessed for AToM predictors of Grade‐4 RC. Findings show that only social reasoning predicts RC, independent of general intelligence and prior RC performance. In turn, RC did not predict any AToM component. These findings contribute to understanding cognitive development in educational contexts, emphasizing the significance of AToM, particularly social reasoning, in RC. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has tremendous impact on public mental health and on psychological resources such as optimism. In this context, positive psychological interventions like the best possible self (BPS) intervention may be useful tools for resource activation. Therefore, a randomized controlled trial, conducted between January and December 2021, compared BPS (n = 87), C-BPS (n = 85), and daily activity writing groups (DA; n = 82) on psychological outcomes. Each group completed a writing task over four consecutive weeks. Data were analysed using repeated measures ANCOVA, controlling for age, gender, educational attainment, relationship status, current work status, dyslexia (perceived or diagnosed), and perceived social support. The BPS led to short-term increases in positive affect and mood, and decreases in negative affect. However, this effect was limited to the first week, but the trajectories suggest temporal trends that warrant further investigation. In addition, the approach holds promise for specific groups (e.g. people with depression). [ABSTRACT FROM AUTHOR]

An important question in teamwork research is how to maximize performance and the aspects of the team's dynamics and collaboration process that underpin it. Prior research has shown that when team members who are collaborating towards a common purpose experience flow together (team flow; optimal experiences that occur simultaneously at the individual and team levels, entailing deep focus and intrinsic motivation to perform an activity), the team significantly improves its performance and team members experience many positive results at both the individual and team levels. Further advances have built a model of team flow and a means for measuring the construct, as well as qualitative results in business teams to confirm how the elements of team flow interact to generate the positive experiences and higher performance. This study adds practical value to the research by providing proof‐of‐concept for an intervention that promotes team flow in business teams. This cross‐case‐study of 15 teams across five different organizations uses the Team Flow Monitor as a barometer of team health and dynamics, which in turn serves as the centerpiece of an iterative intervention protocol for leading/guiding teams in targeted self‐reflection that can generate virtuous cycles of improving dynamics and performance. In addition to a significant amount of qualitative data confirming the efficacy of the intervention in enabling teams to overcome obstacles and experience more team flow, quantitative analysis of Team Flow Monitor scores showed an increase on average team flow scores across the teams over the course of the intervention (Cohen's d = 0.6). Implications for translating team flow research to field situations are discussed, along with further potential uses of the Team Flow Monitor. [ABSTRACT FROM AUTHOR]

Background: Few studies have longitudinally assessed the determinants of depressive symptoms among persons 80 years and older. The aim of this study was to estimate the determinants of depressive symptoms among persons 80 years and older based on 4-wave national longitudinal data from Thailand. Methods: Data from the Health, Aging, and Retirement in Thailand study from 2015, 2017, 2020 and 2022 were utilized. The sample was restricted to community-dwelling persons 80 years and older (analytic sample: n = 2763 observations). For the pooled sample, average age was 85.0 years (range 80–117 years). Established measurements were used to assess depressive symptoms. Linear fixed effects regression was applied to assess the time-variant determinants and outcomes. Results: Regressions found that higher functional disability and an increase in the number of chronic conditions worsened depressive symptoms. More favourable self-rated physical health, and higher exercise frequency improved depressive symptoms. In addition, among women higher subjective economic status decreased depressive symptoms. Conclusions: This longitudinal study enhances our understanding of the determinants of depressive symptoms among persons 80 years and older. Strategies to delay or decrease functional disability, chronic conditions, increase physical activity, and improve subjective economic status may help in reducing depressive symptoms. [ABSTRACT FROM AUTHOR]

Background: Greenspace is an important modifiable environmental factor that is associated with health and well-being. Although previous research has shown that exposure to greenspace is beneficial for cardiovascular diseases, studies have rarely focused on early subclinical health outcomes such as electrocardiogram (ECG) abnormality. Methods: We developed a longitudinal study using data from the China National Stroke Screening Survey (2013–2019). Monthly exposure to greenspace was assessed by the Normalized Difference Vegetation Index (NDVI) values. ECG abnormality was diagnosed by physicians based on the results of the 12-lead electrocardiogram. We used fixed-effects logistic regression with participant-specific intercepts to estimate the association between exposure to greenspace and ECG abnormalities. Results: A total of 132,108 visits from 61,029 participants with ≥ 2 ECG measurements were included. At baseline, the lag-1 month average NDVI value was 0.29 (SD = 0.15). In the fully adjusted model, per 0.1-unit increment in lag-1 month average NDVI value was associated with a 3.0% (95% CI -1.6 ∼ 7.4%) decreased risk of ECG abnormality. In urban areas, the decreased risk associated with per 0.1-unit increment in NDVI was 14.81% (95% CI 9.38 ∼ 19.92%). Conclusion: Our study found that higher exposure to greenspace was associated with a decreased risk of ECG abnormality, especially in urban areas. Our findings suggested that monthly exposure to greenspace might be beneficial to cardiovascular health, and greenspace provision and maintenance could be considered an important public health intervention in urban planning. [ABSTRACT FROM AUTHOR]

Background: While dehydration is associated with pediatric renal impairment, the regulation of hydration status can be affected by sleep. However, the interaction of hydration and sleep on kidney health remains unclear. Methods: We conducted a cohort study among 1914 healthy primary school children from October 2018 to November 2019 in Beijing, China. Four-wave urinary β2-microglobulin and microalbumin excretion were assayed to assess transient renal tubular and glomerular impairment, and specific gravity was measured to determine hydration status with contemporaneous assessment of sleep duration, other anthropometric, and lifestyle covariates. We used generalized linear mixed-effects models to assess longitudinal associations of sleep duration and hydration status with renal impairment. Results: We observed 1378 children with optimal sleep (9–<11 h/d, 72.0%), 472 with short sleep (<9 h/d), and 64 with long sleep (≥11 h/d, 3.3%). Over half (55.4%) of events determined across 6968 person-visits were transient dehydration, 19.4% were tubular, and 4.9% were glomerular impairment events. Taking optimal sleep + euhydration as the reference, the results of generalized linear mixed-effects models showed that children with long sleep + dehydration (odds ratio [OR]: 3.87 for tubular impairment [tubules] and 3.47 for glomerular impairment [glomerulus]), long sleep + euhydration (OR: 2.43 for tubules), optimal sleep + dehydration (OR: 2.35 for tubules and 3.00 for glomerulus), short sleep + dehydration (OR: 2.07 for tubules and 2.69 for glomerulus), or short sleep + euhydration (OR: 1.29 for tubules) were more likely to present transient renal impairment, adjusting for sex, age, body mass index z-score, systolic blood pressure z-score, screen time, physical activity, and Mediterranean diet adherence. Conclusions: Dehydration and suboptimal sleep aggravate transient renal impairment in children, suggesting its role in maintaining pediatric kidney health. [ABSTRACT FROM AUTHOR]

The usage of smart glasses in goods logistics and order picking has mainly been studied through cross-sectional experimental studies. Our longitudinal field study investigated the effects of smart glasses on the eyesight of 43 employees at two German companies. We combined ophthalmological examinations and questionnaire surveys at two points in time, six months apart. The vision of the employees was examined before and after each work shift. Mixed effects logistic regression was conducted to determine the associations between smart glasses use and effects on visual acuity. In the baseline examination, differences in eyesight before and after shifts were small and not statistically significant. However, some individuals experienced deteriorations, especially in visual acuity at near distances (n = 7 for the right eye, n = 6 for the left). Participants over 40 years of age had 16.1 times higher odds of deterioration compared to those under 40 years (95% CI: 2.7–95.9, p = 0.002). The most commonly reported eye strains were eye fatigue (n = 32), rubbing (n = 25), and burning (n = 24). If smart glasses are to be implemented in logistics companies, it is recommended to offer employees eye tests with an industrial physician in advance. [ABSTRACT FROM AUTHOR]

Most personality science is conducted with samples from wealthy Western countries, home to only 11% of the world's population. Longitudinal studies have been particularly informative for psychology, but they are virtually absent from the rest of the world. The Africa Long Life Study (ALLS) brings African perspectives to lifespan research in personality and mental health. Large (N = ∼1000), relatively-representative samples of 18-year-olds were recruited from throughout Namibia, Kenya, and South Africa in 2022. Participants complete two surveys each year. At the time of the fifth wave, we describe here the goals of the ALLS with emphasis on personality psychology, and the contextualized measurement and methodological approaches we have developed, including the process of finding participants again at later waves. Sample characteristics and retention and attrition over the first three waves are reported. Initial lessons learned and reflections on conducting longitudinal research and personality science in Africa are discussed. Plain language summary: Most personality science is conducted with samples from wealthy Western countries, home to only 11% of the world's population. Longitudinal studies have been particularly informative for psychology, but they are virtually absent from the rest of the world. The Africa Long Life Study, a new longitudinal study in Sub-Saharan Africa, brings African perspectives to lifespan research in personality, mental health, and cultural mindset. Large (N = ∼1000), relatively-representative samples of 18-year-olds were recruited from throughout Namibia, Kenya, and South Africa in 2022. Participants complete two surveys each year, allowing us to test findings in personality psychology for cross-cultural relevance. We describe here the goals of the ALLS and the contextualized approach we have taken, including the process of finding participants again for later waves. Details about the particpants and how many stayed with the project into the second and third surveys are reported. We reflect on what it is like to conducting longitudinal research in Africa today. [ABSTRACT FROM AUTHOR]

Background: Edentulism is considered the ultimate sign of oral health disease burden. It is a common and frequent clinical disease, mostly seen in the elderly, which has been reported to be closely associated with many diseases. While physical activity is known to benefit many chronic diseases, the relationship between the volume of physical activity and edentulism remains unclear. Materials and methods: The CHARLS provided the data for this study. A total of 6,480 participants were enrolled in this study, of whom 46.02% were male and 53.98% were female. The edentulism was defined according to self-report and physical activity volume can be represented by metabolic equivalents. Multiple logistic regression, smooth curve fitting, threshold effects analysis, and Cox regression models were used to explore the relationship between physical activity volume and edentulism. Results: In the fully adjusted model, physically active participants had a 24% lower risk of edentulism compared to those who were physically inactive. Then, we subdivided participants with adequate physical activity into four levels: 600 ≤ PAV < 1200; 1200 ≤ PAV < 1800; 1800 ≤ PAV < 3000; and PAV ≥ 3000. We found that the risk of developing edentulism was lowest and statistically significant at the level of 1,800-3,000 MET-minutes/week physical activity volume (OR = 0.41; 95% CI, 0.24–0.69, p < 0.001). A U-shaped relationship between physical activity volume and edentulism with an inflection point of 2514 (MET-minutes/week) was observed. The results of the longitudinal study also confirm the benefits of physical activity volume with edentulism, participants with adequate physical activity volume had a 21% lower risk of developing edentulism than participants with inadequate physical activity volume (HR = 0.79; 95% CI, 0.67–0.94, p = 0.008). Conclusions: This study reveals a U-shaped relationship between physical activity volume and edentulism. Physical activity reduces the risk of developing edentulism in middle-aged and older populations, but it is important to control the appropriate volume of physical activity. [ABSTRACT FROM AUTHOR]

Background: Very few studies to date investigated the prospective association of changes in exposure to the food environment with cardiovascular disease (CVD) risk. We aim to explore if time-varying exposure to the food environment was associated with hospitalization and mortality due to total and specific types of CVD in The Netherlands. Methods: In this prospective cohort study, 4,641,435 Dutch adults aged 35 + years who did not change residence in 2002–2018 were identified through registry data. Exposure to the food environment was defined as time-varying Food Environment Healthiness Index (FEHI) scores (range: − 5 to 5) and time-varying kernel density of specific food retailers (e.g., fast food outlets, supermarkets) around the home location between 2004 and 2018. The main outcome measures were hospitalization and mortality due to overall CVD, stroke, HF, and CHD occurring between 2004 and 2020, based on hospital and death registries. Results: In Cox regression models, each unit increase in the FEHI was associated with a lower hospitalization and mortality of CVD (hospitalization hazard ratio (HRh) = 0.90 (0.89 to 0.91), mortality hazard ratio (HRm) = 0.85 (0.82 to 0.89)), CHD (HRh = 0.88 (0.85 to 0.91), HRm = 0.80 (0.75 to 0.86)), stroke (HRh = 0.89 (0.84 to 0.93)), HRm = 0.89 (0.82 to 0.98)), and HF (HRh = 0.90 (0.84–0.96), HRm = 0.84 (0.76 to 0.92)). Increased density of local food shops, fast food outlets, supermarkets, and convenience stores and decreased density of food delivery outlets and restaurants were associated with a higher risk of CVD, CHD, stroke, and HF hospitalization and mortality. Conclusions: In this observational longitudinal study, changes in exposure to a healthier food environment over 14 years were associated with a risk reduction in CVD hospitalization and mortality, in particular in urbanized areas and for younger adults and those with higher incomes. [ABSTRACT FROM AUTHOR]

Mathematical performance, a competitive edge for children, has received ample attention from stakeholders, especially from parents. However, the association between parenting style and children's mathematics performance remains open to debate, and longitudinal studies are lacking. Therefore, this study used longitudinal data from four waves of surveys (2012, 2014, 2016, and 2018), with an initial sample of 1042 children (51.5% girls) aged 11, 13, and 15 years. Positive associations between supportive parenting style and higher mathematics scores were observed across all waves, both in unadjusted and adjusted generalized linear regression models, with all p < 0.05. Even after running five sets of sensitivity analyses (e.g., controlling counting skills in toddlerhood, imputing key covariates), the positive association remained robust. Ultimately, we found that supportive parenting style was positively associated with improved mathematical performance in adolescents measured up to six years later. This finding underscores the importance of supportive parenting in enhancing adolescents' mathematical performance and suggests that integrating supportive parenting strategies into family-based approaches may effectively improve children's mathematical achievements. [ABSTRACT FROM AUTHOR]

Background: Mental distress among retirees and older people is a severe public health challenge, and information on new risk groups is needed. This study aims to identify subgroups of old-age retirees with varying associations between low social support and mental distress by applying model-based recursive partitioning (MOB). Methods: We used the Helsinki Health Study follow-up survey data of old-age retired former municipal sector employees of the City of Helsinki, Finland. Phase 1 data were collected in 2000–2002, when all participants were employed, Phase 2 in 2007, Phase 3 in 2012, Phase 4 in 2017, and Phase 5 in 2022 (n = 4,466, 81% women). Social support and covariates were measured at each Phase 1–5 and the outcome, mental distress (Depression Anxiety Stress Scales [DASS-21]) was measured at a single occasion, during Phase 5. The three subscales and the common factor of general distress were analysed separately. An approach rooted in computational statistics was used to investigate risk factor heterogeneity in the association of low social support and mental distress. MOB combines decision trees with regression analysis to identify subgroups with the most significant heterogeneity among risk factors. Results: Median (IQR) general distress score from DASS-21 was 5.7 (3.0, 9.0), while Social Support Questionnaire number-score (SSQN) was 1.5 (1.15, 2.05). The primary effect modifier for the association between social support and general distress was education (p < 0.001). Those with high education had a different association of low social support and general distress than those with low or medium education. Additionally, the subgroup with low and medium education had a significant effect modification for age (p = 0.01). For the association between low social support and depressive symptoms, the moderating effect of education was dependent on gender, as men with medium–high education had the weakest association, while for women with medium–high education the association was strongest. Conclusions: Our results suggest that stratification by sociodemographic variables is justifiable when investigating risk factors of mental distress in old-age retirees. The incongruent association of low social support and depressive symptoms in men with medium–high education compared to women with medium–high education is a promising target for confirmatory research. [ABSTRACT FROM AUTHOR]

Background: Emotional disorders such as depression and anxiety disorders share substantial similarities in their etiology and treatment. In recent decades, these commonalities have been increasingly recognized in classification systems and treatment programs crossing diagnostic boundaries. Methods: To examine the prospective effects of different transdiagnostic markers on relevant treatment outcomes, we plan to track a minimum of N = 200 patients with emotional disorders during their routine course of cognitive behavioral therapy at two German outpatient clinics. We will collect a wide range of transdiagnostic markers, ranging from basic perceptual processes and self-report measures to complex behavioral and neurobiological indicators, before entering therapy. Symptoms and psychopathological processes will be recorded before entering therapy, between the 20th and 24th therapy session, and at the end of therapy. Discussion: Our results could help to identify transdiagnostic markers with high predictive power, but also provide deeper insights into which patient groups with which symptom clusters are less likely to benefit from therapy, and for what reasons. Trial Registration: The trial was preregistered at the German Clinical Trial Register (DRKS-ID: DRKS00031206; 2023–05-09). [ABSTRACT FROM AUTHOR]

The prevalence of osteoporosis has drastically increased recently. It is not only the most frequent but is also a major global public health problem due to its high morbidity. There are many risk factors associated with osteoporosis were identified. However, most studies have used the traditional multiple linear regression (MLR) to explore their relationships. Recently, machine learning (Mach-L) has become a new modality for data analysis because it enables machine to learn from past data or experiences without being explicitly programmed and could capture nonlinear relationships better. These methods have the potential to outperform conventional MLR in disease prediction. In the present study, we enrolled a Chinese post-menopause cohort followed up for 4 years. The difference of T-score (δ-T score) was the dependent variable. Information such as demographic, biochemistry and life styles were the independent variables. Our goals were: (1) Compare the prediction accuracy between Mach-L and traditional MLR for δ-T score. (2) Rank the importance of risk factors (independent variables) for prediction of δ T-score. Totally, there were 1698 postmenopausal women were enrolled from MJ Health Database. Four different Mach-L methods namely, Random forest (RF), eXtreme Gradient Boosting (XGBoost), Naïve Bayes (NB), and stochastic gradient boosting (SGB), to construct predictive models for predicting δ-BMD after four years follow-up. The dataset was then randomly divided into an 80% training dataset for model building and a 20% testing dataset for model testing. A 10-fold cross-validation technique for hyperparameter tuning was used. The model with the lowest root mean square error for the validation dataset was viewed as the best model for each ML method. The averaged metrics of the RF, SGB, NB, and XGBoost models were used to compare the model performance of the benchmark MLR model that used the same training and testing dataset as the Mach-L methods. We defined that the priority demonstrated in each model ranked 1 as the most critical risk factor and 22 as the last selected risk factor. For Pearson correlation, age, education, BMI, HDL-C, and TSH were positively and plasma calcium level, and baseline T-score were negatively correlated with δ-T score. All four Mach-L methods yielded lower prediction errors than the MLR method and were all convincing Mach-L models. From our results, it could be noted that education level is the most important factor for δ-T Score, followed by DBP, smoking, SBP, UA, age, and LDL-C. All four Mach-L outperformed traditional MLR. By using Mach-L, the most important six risk factors were selected which are, from the most important to the least: DBP, SBP, UA, education level, TG and sleeping hour. δ T score was positively related to SBP, education level, UA and TG and negatively related to DBP and sleeping hour in postmenopausal Chinese women. [ABSTRACT FROM AUTHOR]

Entrepreneurial personality research has mostly used cross‐sectional data, giving rise to the question of whether the results can be used to predict entrepreneurial outcomes. Using a unique longitudinal dataset, we investigate whether and from what age personality in childhood and adolescence predicts entrepreneurial intention in young adulthood. We cover a time span of 17 years by assessing personality at four different developmental phases (6–9, 9–12, 12–15, and 14–17 years of age) and one measurement of entrepreneurial intention in young adulthood (23–26 years of age). We employ a variable‐oriented approach by studying the Big Five traits—imagination, conscientiousness, extraversion, benevolence, and emotional stability—individually and a person‐oriented approach by studying the "entrepreneurial personality profile," a configuration of these traits. Extraversion as measured at 9–12 years already predicts entrepreneurial intention in young adulthood. This relationship becomes stronger as the age at which extraversion is measured increases. Unlike earlier literature, we do not find clear prospective relationships regarding the other traits. Our study presents insights into the antecedents of entrepreneurial intention and highlights the importance of extraversion in childhood and adolescence. The difference between our results and those of previous cross‐sectional research highlights the importance of using longitudinal data. [ABSTRACT FROM AUTHOR]

Data on the chronicity of mental disorder in children with chronic physical illness (CPI) are limited. We examined the prevalence and predictors of homotypic and heterotypic continuity of mental disorder in children with CPI. A sample of 263 children aged 2–16 years with physician-diagnosed CPI were recruited from outpatient clinics (e.g., dermatology, respiratory) at a Canadian pediatric academic hospital and followed for 24 months. Parent and child-reported mental disorders (mood, anxiety, behavioral, attention-deficit hyperactivity disorder [ADHD]) were assessed using the Mini International Neuropsychiatric Interview for Children and Adolescents at baseline, 6, 12, and 24 months. Marginal regression models were computed to identify clinical, parent, and demographic factors associated with mental comorbidity over time. Mental disorder was observed in 24–27% of children with CPI based on child reports and 35–39% based on parent reports. Parent-reported models revealed significant homotypic continuity for all mental disorders (ORs = 4.2–9.5), and heterotypic continuity between mood and anxiety disorders (OR = 2.2), ADHD and behavioral disorders (OR = 5.1), and behavioral and each mental disorder (ORs = 6.7–8.4). Child-reported models revealed significant homotypic continuity for mood (OR = 8.8) and anxiety disorder (OR = 6.0), and heterotypic continuity between anxiety and mood disorders (OR = 12.4). Child disability (ORs = 1.3–1.5) and parent psychopathology (ORs = 1.2–1.8) were the most consistent predictors of both child- and parent-reported mental disorder over time. Mental comorbidity was prevalent and persistent in children with CPI with homotypic and heterotypic continuity common across informants. Child disability and parent psychopathology may be priority targets within integrated family-centered models of care to prevent mental comorbidity in children with CPI. [ABSTRACT FROM AUTHOR]

Aims This study aimed to explore the change trend and group heterogeneity of psychosocial adjustment level and to determine its influencing factors among young and middle-aged patients with first-episode acute myocardial infarction (AMI). Methods and results The Psychosocial Adjustment Scale of Illness was used to assess the psychosocial adjustment level of the patients at 1, 3, and 6 months after discharge, respectively. Data were analysed using Pearson correlation analysis, generalized estimating equations, and growth mixed models. A total of 233 patients were included, and their psychosocial adjustment scores at the three time points were 57.18 ± 15.50, 36.17 ± 15.02, and 24.22 ± 12.98, respectively. The trajectories of changes in patients' psychosocial adjustment levels were divided into three latent categories: moderate adjustment improvement group (72.5%), low adjustment improvement group (16.3%), and persistent maladjustment group (11.2%). Among them, predictors of the persistent maladjustment group included no spouse, low monthly family income per capita, normal body mass index, never smoking, never exercising, combined with hyperlipidaemia, low social support, submission coping, and high perceived stress. Conclusion The psychosocial adjustment level of young and middle-aged patients with first-episode AMI showed an upward trend within 6 months after discharge, and there was group heterogeneity in the change trajectory of psychosocial adjustment level. It is suggested that a multicentre, large-sample longitudinal study should be carried out in the future, and the time of follow-up investigation should be extended to further clarify the change trajectory and influencing factors of psychosocial adjustment of patients with different subtypes, to provide the theoretical basis for formulating targeted intervention programmes. [ABSTRACT FROM AUTHOR]

Childhood maltreatment has been demonstrated to impact brain development. However, whether childhood maltreatment can influence the effects of recent stress on brain networks remains unclear. This study aimed to investigate whether childhood maltreatment moderates the longitudinal relationship between recent life stress and within- and between-network connectivity in key brain networks, including the anterior salience (ASN), central executive (CEN), default mode (DMN), and emotional regulation network (ERN). A cohort of 172 individuals from the Neuroscience in Psychiatry Network (NSPN) underwent MRI scans at two specific time points and undertook evaluations of childhood maltreatment and recent life stress. The results showed that childhood abuse moderated the association of recent life stress with the within-network connectivity of ASN and ERN but not DMN and CEN. Furthermore, recent life stress significantly interacted with childhood abuse to be associated with the between-network connectivity of ASN-DMN, ASN-CEN, ASN-ERN, DMN-ERN and CEN-ERN. Overall, among youth exposed to higher degrees of childhood abuse, greater recent life stress was longitudinally associated with increased network connectivity. Understanding these interactions can provide valuable insights for developing prevention strategies and interventions aimed at mitigating the lasting impact of childhood maltreatment on brain development and overall well-being. [ABSTRACT FROM AUTHOR]

Dating violence can manifest itself in different ways, with important consequences for both members of the couple. Due to the normalization of certain behaviour and the perceived quality of the relationship, it may be difficult to identify this violent dynamic in its early stages, allowing it to escalate and lead to severe levels of violent behaviour. This study aims to analyse violent profiles using latent class analysis (LCA) and explore the role of relationship quality variables as risk factors for those profiles. A two-stage longitudinal design was used with a sample of 2849 Spanish adolescents between 12 and 18 years old. The LCA produced five different groups: those not involved in violence; those involved in mild forms of violence (with two sub-groups: those involved in psychological–sexual violence and in psychological–physical violence); and those involved in the most severe forms of violence, with a co-occurrence of psychological–physical–sexual violence (with two sub-groups, according to the higher of lower frequency of involvement). Despite the differences between boys and girls, negative-quality variables played a more important role in dating violence. Discussion of the results focuses on both the complex nature of the violence and the multi-probabilistic view of its development. [ABSTRACT FROM AUTHOR]

Aim: This study aimed to explore the relationships between serum cortisol levels, personality traits, and the development of Post‐Traumatic Stress Disorder (PTSD) over 2 years among individuals with physical injuries. Methods: Participants were consecutively recruited from a trauma center and followed prospectively for 2 years. At baseline, serum cortisol levels were measured, and personality traits were categorized into five dimensions (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness), using the Big Five Inventory‐10. The diagnosis of PTSD during follow‐up (at 3, 6, 12, and 24 months post‐injury) was determined using the Clinician‐Administered PTSD Scale for DSM‐5. Binary and multinomial logistic regression analyses were conducted to examine the interactions between cortisol levels, personality traits, and PTSD development. Results: Among 923 patients analyzed, 112 (12.1%) were diagnosed with PTSD at some point during the study period, with prevalence rates decreasing from 8.8% at 3 months to 3.7% at 24 months post‐injury. Direct associations between cortisol levels or personality traits and PTSD were not observed. However, a significant interaction between lower cortisol levels and higher Neuroticism in relation to PTSD risk was identified, especially during the early follow‐up periods (3 to 6 months), but this association waned from the 12‐month follow‐up onward. Conclusion: Our findings reveal Neuroticism‐dependent associations between serum cortisol levels and PTSD development, exhibiting temporal variations. These results suggest that PTSD development may be influenced by a complex, time‐sensitive interplay of biological and psychosocial factors, underscoring the importance of considering individual differences in stress reactivity and personality in PTSD research and treatment. [ABSTRACT FROM AUTHOR]

Objectives: Existing research on romantic breakups focused on the predictors of breakup, or on its emotional and behavioral sequelae. The current study examines the longitudinal correlates of a breakup experience over a period of eight years, and questions whether breakup experiences may also have negative and positive outcomes. Methods: Data were collected from 124 Israeli emerging adults (mean age 20.22 years; 79 females). Participants were approached again at ages 23, 25, and 28. Breakup distress was assessed at each wave. At age 28, participants' well-being, as well as their romantic capacities, were evaluated. Results: The intensity of breakup distress at age 20 was not found to be associated with future well-being. However, increased accumulating distress explained a greater number of depressive and anxiety symptoms, and reports of feeling insecure about a partner's availability and responsiveness, at age 28. In-depth interviews with participants about their romantic relationships at age 28 showed that breakup distress at age 20 was associated with greater romantic competence at age 28, explaining better capacity to learn from past romantic experiences and draw lessons for future behavior. In addition, earlier breakup distress was associated with more coherent accounts of romantic relationships at age 28. Conclusions: Findings suggest that young adults are likely to experience a number of breakup events during their twenties, and the accumulating breakup experiences can affect future well-being. The experience of a breakup might not necessarily associate with negative future outcomes, while an earlier breakup experience could also serve as a positive learning arena for future relationships. Social policy: Perception of romantic dissolution in a comprehensive manner could be helpful for understanding that breakups are probably part of the normative development of romantic relationships among young adults, and should not be perceived only from a deficit perspective. [ABSTRACT FROM AUTHOR]

Using a cross-national approach, we focused on sport perfectionism among university athletes from two Western countries (i.e., Italy and Spain). We examined a guiding theoretical model in which sport perfectionism influenced athletes' experience of their own performance through the intervening effects of their basic psychological needs' satisfaction (BPN). We collected data on the short version of the "Multidimensional Inventory of Perfectionism in Sport" (MIPS) from athletes in both countries and first examined the country measurement invariance of the instrument. We then conducted a second study on a subsample of athletes from study 1 to examine the statistical tenets and the country invariance of the guiding theoretical model. Overall, we found support to the guiding hypotheses. Study 1 findings showed that the MIPS had good psychometric properties and was invariant across countries (i.e., MIPS items had similar meaning among Italian and Spanish athletes). Study 2 findings overall showed support across countries for the guiding model. Athletes with relatively high levels of perfectionistic strivings, later showed greater levels of BPN satisfaction and this, in turn, positively influenced their personal experience of performance. On the contrary, athletes with relatively high levels of perfectionistic concerns, later showed lower levels of BPN satisfaction and this, in turn, negatively influenced their personal experience of performance. This investigation provides initial cross-national evidence for possible mediation mechanisms that may underpin the relations between perfectionism and performance. [ABSTRACT FROM AUTHOR]

The relationship between trauma and subsequent substance use has been extensively studied. Substance dependence and its consequences are a source of further traumatization. This explorative qualitative study is an analysis of the recovery narratives of persons with polydrug dependence, using mainly novel psychoactive substances (NPSs). NPS use, with its unpredictability and major health risks poses a challenge to treatment systems, but only few studies are available on NPS users' recovery processes. In this longitudinal study, authors explore processes of identity reconstruction in the emotionally valent episodes of 10 respondents' life interviews. The interviews had been conducted with 77 patients at the beginning of their residential treatment and were repeated a year later with those in recovery and available for the study, altogether 10 persons. Narrative Oriented Inquiry was used as a framework, focusing on the key themes and changes in the narrative mode. Our results support the findings on previous and subsequent NPS use-related traumatization. In this perspective, NPS use corresponds to revictimization. Contrary to available but sporadic evidence suggesting a marked difference between the recovery processes of users of classical substances and NPS users, the respondents in this study could utilize the traditional cultural stock of recovery stories during their treatment. Changes involved more reflective and responsible attitudes and the broadening of a healing social network. Contents describing care/self-care and the emergence of hopeful attitudes were also identified. Further research, involving larger samples and cross-cultural comparisons, could deepen our understandings of NPS users' recovery processes. [ABSTRACT FROM AUTHOR]

Purpose: To document the long-term visual outcomes in patients with Blau syndrome. Methods: A retrospective institutional cohort study was conducted, and 13 patients with genetically confirmed Blau syndrome were included. Demographic and clinical data were collected from standardised medical charts. Baseline was defined as the first detected uveitis and data were recorded onwards at intervals of 1, 3, 5, 10, 15 and 20 years. Results: Anterior uveitis was the most common classification at baseline (57.1%). Among patients with documented uveitis lasting 10 years or more, all of them developed panuveitis. Median logMAR visual acuity at baseline was 0 (range −0.5; 0.7), 0.19 (range 0; 1.5) at year 5, and 0.7 (range 0.1 – no perception of light) at year 20, as recorded in 13, 16, and 10 eyes, respectively. All patients received treatment with topical and oral steroids, and multiple systemic immunosuppressants including biologics. Disease control, defined as having cells <1+ in both eyes and using topical steroid eye drops less than twice daily, was achieved in 14.3% to 37.5% of patients at the different time points. Cataract surgery was performed in 12 eyes of 8 patients, 3 eyes of 3 patients necessitated glaucoma surgery, and 4 eyes of 4 patients required surgery for retinal detachment. Conclusion: Uveitis associated with Blau syndrome commonly leads to severe, chronic panuveitis, requiring long-term systemic immunosuppression. Early diagnosis and timely initiation of biologics may prevent significant visual impairment. [ABSTRACT FROM AUTHOR]

This study assessed the multifaceted relations between measures of workload, psychological state, and recovery throughout an entire soccer season in female collegiate soccer athletes (19.8±1.2 yrs, 132±12.3 lbs, 63±3.2 in). A prospective longitudinal study was utilized to measure workload (GPS training load, Rate of Perceived Exertion (RPE), psychological state (mental stress, mental fatigue, and mood), and recovery (sleep duration, sleep quality, and soreness), during 90 observations (59 training sessions and 21 games). Separate linear-mixed effect models were used to assess outcomes of RPE, soreness, and sleep duration. A linear mixed-effects model explained 59% of the variance in RPE following each session. Specifically, each standard deviation increase in GPS load and mental stress in the morning prior to training increased RPE by 1.46 (SE=0.08) and 0.29 (SE=0.07), respectively, following that day's training. Furthermore, a significant interaction was found between several predictor variables and chronological day in the season while predicting RPE. Specifically, for each standard deviation increase in GPS load, RPE went up by 0.0055 per day during the season suggesting that load had a higher impact on RPE as the season progressed. In contrast, the interaction of day by mental stress, sleep duration, and soreness continued to be stronger as the season progressed. Each linear mixed-effect model predicted a larger amount of variance when accounting for individual variations in the random effects. [ABSTRACT FROM AUTHOR]

Tourism is commonly introduced or encouraged in rural areas of developing countries to improve local livelihoods and enhance conservation. While understanding resultant shifts in residents' attitudes are important for effective management, there is scant longitudinal knowledge. This study investigated residents' attitudes to the environment, protected area management, and tourism through a longitudinal mixed-method study from 2011 to 2020 in an Iranian rural village during early tourism stages. Quantitative and qualitative primary data were collected through surveys of residents, interviews with government officials and the village leader, and observations combined with secondary data collected over the nine-year period. This study specifically tested, and confirmed, that residents' attitudes to the environment and protected area management must be measured separately. As attitudes to the environment and its management are commonly combined, this is the first study to measure residents' attitudes to protected area management longitudinally. The findings revealed no significant shift in residents' attitudes to the environment but a significant positive shift regarding protected area management. Also tested were residents' attitudes to tourism, which were initially positive and shifted to be more positive. Finally, this study demonstrated significant negative environmental impacts, and an attitude-behaviour gap, which provide theoretical and practical contributions. [ABSTRACT FROM AUTHOR]

This longitudinal study explored the impact of COVID‐19 on individuals in romantic relationships. The sample spans three waves: first confinement (n = 52), deconfinement (n = 49), and second confinement (n = 26). The study tested sociodemographic factors, psychological adjustment (anxiety, depression, stress, well‐being), COVID‐19 threat perception, dyadic coping, and relationship quality. Results from repeated measures ANOVA and fuzzy set qualitative comparative analysis (fsQCA) models revealed a decline in anxiety, depression, and stress symptoms, coupled with improved relationship quality over time. Well‐being and dyadic coping remained stable, while COVID‐19 threat perception increased. QCA models emphasized the predictive power of initial mental states (anxiety, depression, stress, and well‐being at W1) on subsequent adjustment. Notably, shorter relationship duration, healthcare worker status, and not having children, when combined with prior mental states, explained increased symptoms and diminished well‐being. The study underscores the significance of addressing these factors in individuals navigating romantic relationships during the pandemic. [ABSTRACT FROM AUTHOR]

Individuals with an autism spectrum disorder (ASD) diagnosis show impairment in executive function (EF). However, findings are mixed regarding differences in the age effect on EF between autistic individuals and persons with typical development (TD). Questions remain regarding whether the age‐related trajectories of EF in ASD are the same as or different from those in TD. To bridge this knowledge gap, we conducted a systematic review and meta‐analyses of longitudinal studies that compared age‐related changes in EF between ASD and TD groups (preregistration: osf.io/j5764). A literature search was conducted using PubMed, PsycINFO, and Web of Science on January 29, 2024. After screening by two independent reviewers, 14 longitudinal studies were included. Random‐effects meta‐analyses of studies involving a maximum total of 518 autistic and 3558 TD children and adolescents (mean baseline ages: 5.7–12.0 years) showed that ASD had significantly poorer EF than TD at both baseline and follow‐up. However, there was no significant group difference in the age‐related change in EF across domains, including working memory, inhibition, shifting, and planning. Robust Bayesian meta‐analyses also provided substantial evidence in favor of the null hypothesis that ASD and TD groups showed similar changes over time for most EF processes. Limitations of the literature included the limited number of longitudinal studies and a narrow range of developmental stages and EF constructs analyzed across studies. Altogether, these findings suggest that autistic children and adolescents generally can improve in EF over time similarly to their neurotypical peers. This has important implications for parents and educators, encouraging appropriate EF training and intervention for autistic children and adolescents at an early stage. Lay Summary: Our meta‐analyses based on two complementary methods found that despite falling behind in executive function (EF) development, autistic children and adolescents showed similar EF improvements over time compared with their typical development (TD) peers. Over the years, various interventions have been identified that have the potential to improve EF in autistic children and adolescents, suggesting that EF may be modifiable with training over and above the general improvement. As a result, parents and educators are encouraged to take early actions to facilitate these individuals to catch up with their EF development. [ABSTRACT FROM AUTHOR]

Background: Cognitive impairments are a hallmark symptom of schizophrenia (SCZ). Phosphatidylethanolamine (PE) is the second most abundant phospholipid in mammalian cells, yet its role in cognitive deficits remains unexplored. The aim of this study was to investigate the association between plasma LysoPE and cognitive improvements following olanzapine monotherapy in drug-naïve first-episode (DNFE) SCZ patients. Methods: Twenty-five female DNFE SCZ patients were treated with olanzapine for four weeks, and cognitive function was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) at baseline and after the 4-week follow-up. Utilizing an untargeted ultra-performance liquid chromatography-mass spectrometry (UPLC-MS)-based metabolomics approach, we measured LysoPE concentrations. Results: Significant improvements in immediate and delayed memory domains were observed post-treatment. We identified nine differential LysoPE species after olanzapine monotherapy, with increased concentrations for all LysoPE except LysoPE (22:6). Elevated LysoPE (22:1) concentration positively correlated with cognitive improvement in patients. Baseline LysoPE (16:1) emerged as a predictive factor for cognitive improvement following olanzapine monotherapy. Conclusions: This study offers preliminary evidence for the involvement of LysoPE in cognitive improvements observed in drug-naïve first-episode SCZ patients after olanzapine treatment. [ABSTRACT FROM AUTHOR]

Self-compassion refers to a positive and friendly self-attitude when facing setbacks. A growing body of published work provides evidence that self-compassion contributes to adolescents' psychological well-being robustly. However, due to divergence of self-compassion's structure, there has been little discussion about the how self-compassion develops and about the way to improve adolescents' self-compassion. This study examined whether and how self-compassion components would associate with each other longitudinally during adolescence, which may provide insights for improving adolescents' self-compassion accordingly. Using a two-wave longitudinal design, a relatively large sample of Chinese adolescents (N = 603; Mage = 15.33, SDage = 0.53) was measured annually at two-time points. We utilized the cross-lagged panel network (CLPN) model to investigate the structure of self-compassion, namely, the underlying relationships among each self-compassion component inside. The CLPN model suggested that self-compassion is an interactive and synergistic system. In addition, the results emphasized the difference between males and females, suggesting that developing self-kindness may elevate adolescent males' self-compassion, while for adolescent females, nourishing mindfulness and self-kindness simultaneously may be better for their self-compassion. Also, common humanity should pay more attention to boys and girls due to its positive association with uncompassionate components. This study enriches the understanding of the construct of self-compassion. Also, the current study refers to the variance between male and female adolescents in self-compassion and underlines the importance of self-kindness for males and mindfulness for females. [ABSTRACT FROM AUTHOR]

Aim: To assess the immediate and late effects of the COVID‐19 pandemic on the oral health‐related quality of life (OHRQoL) of adolescents. Design: This is a longitudinal study performed with adolescents (11–15 years old) from Southern Brazil who were evaluated before the COVID‐19 outbreak, and 3 (T2) and 15 (T3) months after the beginning of the pandemic. OHRQoL was assessed using the CPQ11‐14. Sociodemographic and clinical variables were also collected. Changes in OHRQoL before, 3 and 15 months after the start of the pandemic were analyzed through multilevel Poisson regression models for repeated measures. Results: A total of 290 adolescents were evaluated at T1, 207 were re‐evaluated at T2, and 204 at T3. Overall CPQ11‐14 scores over follow‐ups were 11.0 (SD 8.0) at T1, 8.3 (SD 7.8) and 12.8 (SD 8.8) at T3. Compared to T1, adolescents presented 29% lower overall CPQ11‐14 scores (IRR 0.71 95% CI 0.66–0.75) at T2, and 11% higher scores at T3 (IRR 1.11 95% CI 1.05–1 0.17), especially for the emotional and social well‐being domains. Conclusion: COVID‐19 pandemic impacted the adolescents' OHRQoL differently over time, indicating a reduction in impacts immediately after the beginning and worsening over long term exposure to this scenario. [ABSTRACT FROM AUTHOR]

Objective: To explore the patterns and predictors of body mass index (BMI) change among undergraduate students from Ontario (Canada). Participants: 68 undergraduate students were followed longitudinally for 3 years with anthropometric data collected bi-annually. Methods: BMI measurements were plotted to generate individual BMI trajectory curves, which were categorized, based on the observed trajectory pattern. Within and between group comparisons of BMI were conducted via nonparametric paired tests. The association of baseline BMI, sex, and ethnicity with BMI trajectory type was assessed using multinomial logistic regression. Results: Four BMI trajectory types were observed: "stable weight" (n = 15, 22.1%), "weight gain" (n = 30, 44.1%), "weight loss" (n = 12, 17.6%), and "weight cycling" (n = 11, 16.2%) trajectories. Higher baseline BMI was significantly associated with the "weight gain," "weight loss," and the "weight cycling" trajectories as compared to the "stable weight" trajectory type. Conclusions: Our findings demonstrate an association between high baseline BMI and "nonstable" subsequent BMI change patterns among Canadian students. [ABSTRACT FROM AUTHOR]

Objective: We aimed to investigate value change and stability longitudinally in middle childhood. Background: Values are the aspect of personality defining one's aspirations. Research identifies meaningful values in middle childhood, yet we know little about the process of their development within individual. Method: Children (N = 298; 53.7% girls, Mage = 7 years and 3 months, SD = 7.70 months, at the first time point) four times, annually. Results: Rank‐order stability increased with age and decreased with time‐span. We found value hierarchy consistency, with value hierarchy similar to adolescents in the priority given to openness to change versus conservation values, and to adults in the priority given to self‐transcendence values. Latent growth curve analyses indicated linear increase in openness to change, and curvilinear increase in self‐transcendence values, and linear decrease in conservation and self‐enhancement values, with some differences across ages. Value structure was better differentiated with age. Compatible values changed in similar, and conflicting values in opposite directions. Conclusions: This paper suggests that in middle childhood, children can already report stable values. Moreover, middle childhood is characterized by coherent change patterns, of increase in the importance of growth, and decrease in the focus on conflicting protection values. [ABSTRACT FROM AUTHOR]