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BACKGROUND: In this longitudinal study on Danes born 1980-2000, the objectives were to identify and describe trajectories of childhood poverty and explore their association with trajectories of contacts with the healthcare system. METHODS: Children born in Denmark from 1980-2000 were linked to national registers. Parental disposable income information was obtained for each year of the child's life from 0-16 years. Group-based trajectory modeling was used to identify trajectories of childhood poverty. The outcome was trajectories of contacts with the healthcare system identified with group-based multi-trajectory modeling. The associations between childhood poverty trajectories and trajectories of contacts with the healthcare system were estimated using multinomial logistic regression. RESULTS: Four distinct groups of childhood poverty trajectories were identified. The largest group (87 %) had very low probability of childhood poverty, and the smallest group (2 %) had high probability of persistent poverty throughout childhood. Two groups experienced either early (5 %) or late (6 %) poverty in childhood. Early and late childhood poverty were associated with higher odds of being in the psychiatric use group in both sexes, and with higher odds of being in the low use and high use groups in women. Persistent poverty was associated with higher odds of being in the low use group and lower odds of being in the high use group and the psychiatric use group in both sexes. CONCLUSION: In conclusion, childhood poverty is associated with healthcare contacts in adolescence and early adulthood in Denmark.

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BACKGROUND: Maternal feeding practices play a major role in children's dietary intakes. However, there is limited data on the associations between trajectories of dietary patterns (DPs) and patterns of maternal feeding practices during early childhood. METHODS: Using data from a multi-ethnic Asian cohort study, namely the Growing Up in Singapore Towards healthy Outcomes (GUSTO), dietary intakes were measured using Food Frequency Questionnaires in children at 18 months, 5 and 7 years of age. Maternal feeding practices were assessed using validated questionnaires at 15 months, 3 and 5 years of age. Principal component analysis was used to derive 2 major DPs at all time-points as well as patterns of maternal feeding practices. Group-based trajectory modelling was used to identify trajectory groups for the derived DPs. Multivariable logistic regression examined associations between patterns of maternal feeding practices and DP trajectory groups. RESULTS: Two DPs, namely the 'healthy' and 'less healthy' were consistently derived at 18 months, 5 and 7 years of age. From each DP, 2 stable DP trajectory groups were further identified between 18 months and 7 years of age. For the 'healthy' DP trajectory, majority of the children (Group 1) formed a consistent average adherence trajectory group (91.8%) while the remaining children (Group 2) showed a higher but decreasing adherence (8.2%) to this DP. For the 'less healthy' DP trajectory, most children (Group 1) formed a consistent average adherence trajectory (95.5%), while the remainder (Group 2) showed consistent higher adherence to this 'less healthy' DP (4.5%). Two patterns of maternal feeding practices were derived and labelled as 'structured with autonomy support' and 'coercive control', respectively, at ages 15 months, 3 and 5 years. Children whose mothers showed high adherence to the structured with autonomy support feeding practices at age 5 years were significantly more likely to be associated with the higher but decreasing 'healthy' DP trajectory group [OR = 3.62 (95% CI: 1.64, 7.99)]. CONCLUSIONS: A small number of children in this multi-ethnic study showed high adherence to the 'healthy' or 'less healthy' DP trajectory groups, respectively, while the majority showed average adherence to either of these trajectories. The positive association between structured with autonomy support maternal feeding practices and higher z-scores for the healthy DP trajectory highlights the importance of guiding parents on appropriate feeding practices.

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BACKGROUND: Newly graduated nurses' lack of professional competence is associated with inadequate preparation during their clinical placement as nursing students. Clinical placement is a critical stage in the development of nursing students' professional preparedness. However, research on the trajectory of nursing students' professional preparedness during clinical placement has not yielded findings with the same specificity. OBJECTIVES: The aim of this study is to estimate differences in professional preparedness levels at different clinical placement stages, to identify distinct patterns of professional preparedness trajectories during clinical placement, and to evaluate predictors of these trajectory group memberships. DESIGN: A quantitative longitudinal study. SETTINGS: Participants were recruited on a voluntary basis using convenience sampling at a tertiary hospital in Nanning, China. PARTICIPANTS: 224 senior nursing students were initially invited to participate in the study. A total of 178 nursing students successfully completed the follow-up assessments at baseline, as well as at 1 month, 4 months, and 8 months into their clinical placement. METHODS: Participants completed four online surveys, during which their professional preparedness level was measured using the Perceived Professional Preparedness questionnaire for senior nursing students. Professional preparedness scores at different time points were compared using one-way repeated measures ANOVA and latent growth model. Group-based trajectory model was applied to identify professional preparedness trajectories. Multiple logistic regression was adopted to determine the predictors of trajectory group memberships. RESULTS: The entire sample of Senior nursing students experienced a significant increase in professional preparedness during clinical placement. The best-fitting group-based trajectory model delineated three distinct trajectories: low-slowly increase trajectory (27.53 % of sample), moderate-rapidly increase trajectory (47.19 % of sample) and a high-stably increase trajectory (25.28 % of sample). Male, good and excellent academic performance, and very high degree of professional interest are the predictors of the moderate-rapidly increase trajectory. While male, good and excellent academic performance, high and very high degree of professional interest and participating in medical-related part-time employment are the predictors of the high-stable increase trajectory. CONCLUSIONS: Senior nursing students exhibit different levels of professional preparedness throughout their clinical placement. Simultaneously, three different trajectories were identified among the sample of nursing students. Therefore, in future research, greater attention should be directed towards the professional preparedness levels of nursing students with different trajectories, and early identification and targeted interventions should be prioritized.

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Background: Few studies have examined how multi-level social factors interact and affect developmental patterns of sexual risk among middle-to-late adolescents who are at risk of experiencing sexual risk behaviors. We examined developmental trajectories of sexual risk behaviors of boys and girls in middle-to-late adolescence and the effects of exposure to three social risk factors (poor parental monitoring, peer risk, and neighborhood risk). Methods: We followed 2,332 Bahamian adolescents every six months from Grades 10-12. We used group-based trajectory modeling to identify distinct trajectories of sexual risk behaviors for boys and girls. Results: We identified three trajectories each for boys and girls. Peer risk and neighborhood risk predicted a high sexual-risk trajectory for boys, and peer risk (alone or combined with other risk factors) had the greatest impact on the membership of moderate-to-high-risk trajectory for girls. Parental monitoring had a relatively small effect on adolescents' sexual risk behavior. Conclusion: Our results underscore the importance of early identification of adolescents with sexual risk behavior and development of targeted prevention interventions to improve adolescent health outcomes.

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Introduction: This study aimed to identify the dual trajectories of social participation (SP) and frailty index (FI) among Chinese older adults, and investigate common influential factors of both trajectories. Methods: Utilizing data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) 2008-2018 surveys, 1,645 individuals were analyzed. A group-based dual trajectory model and logistic regression were used to examine trajectories, their interrelations and shared influencing factors. Results: This study identified three SP, two FI trajectories and six distinct sub-groups of individuals. The study confirmed a long-term, interrelated relationship between two outcomes and identified some common factors. Compared to participants in the lower SP trajectory, those who followed the middle SP trajectory and higher SP trajectory had increased probabilities of belonging to the slow-growth FI trajectory (90.28 and 99.71%, respectively). And the participants in the slow-growth FI exhibited higher probabilities of belonging to the middle SP and the higher SP trajectory (37.64 and 25.34% higher, respectively) compared with those in the rapid-growth FI trajectory. Age, marital status, and drinking status were mutual factors associated with the dual trajectories. Discussion: The results showed significant associations between higher levels of frailty and lower levels of social participation. Related intervention policies should consider the dual trajectories and the common factors that underlie these trajectories of SP and FI.

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OBJECTIVE: This study aimed to characterize long-term cerebral perfusion pressure (CPP) trajectory in traumatic brain injury (TBI) patients and construct an interpretable prediction model to assess the risk of unfavorable CPP evolution patterns. METHODS: TBI patients with CPP records were identified from the Medical Information Mart for the Intensive Care (MIMIC)-IV 2.1, eICU Collaborative Research Database (eICU-CRD) 2.0 and HiRID dataset 1.1.1. The research process consisted of two stages. First, group-based trajectory modeling (GBTM) was used to identify different CPP trajectories. Second, different ANN algorithms were employed to predict the trajectories of CPP. RESULTS: A total of 331 eligible patients' records from MIMIC-IV 2.1 and eICU-CRD 2.0 were used for trajectory analysis and model development. Additionally, 310 patients' data from HiRID were used for external validation. The GBTM identified 5 CPP trajectory groups, group 1 and group 5 were merged into class 1 based on unfavorable in-hospital mortality. The best 6 predictors were invasive systolic blood pressure coefficient of variation (ISBPCV), venous blood chloride ion concentration, PaCO2, PT (Prothrombin Time), CPP coefficient of variation (CPPCV), and mean CPP. Compared with other algorithms, Scaled Conjugate Gradient (SCG) performed relatively better in identifying class 1. CONCLUSION: This study identified 2 CPP trajectory groups associated with elevated risk and 3 with reduced risk. PaCO2 might be a strong predictor for the unfavorable CPP class. The ANN model achieved the primary goal of risk stratification, which is conducive to early intervention and individualized treatment.

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OBJECTIVES: The purpose of this retrospective study is to further the limited body of evidence regarding the effects of a group-based boxing intervention for those with Parkinson's disease (PD). DESIGN: A retrospective cohort study was performed analyzing data collected on outcome measures at 6-month intervals up to 2 years. Individuals participated in the standardized "Rock Steady Boxing" (RSB) program for up to 24 months. Every 6 months, measures were taken of balance (Fullerton Advanced Balance [FAB] Scale), functional mobility (Timed-Up and Go [TUG]), lower extremity strength (30-second Chair Stand [30CST]), and gait speed (10 Meter Walk Test [10MWT]). METHODS: Statistical significance (P < .05) was determined by a two-tailed t test. Data were collected from RSB-affiliated programs at 4 locations across the southeastern United States. Current and/or past participants in RSB with baseline and at least one subsequent outcome measure were included, resulting in 68 participants (54 male, 14 female, and mean age of 71.2 years ± 8.56 standard deviation). RESULTS: Statistically significant improvements in FAB scale, TUG, and 30CST over time were found at both 6- and 12-month time points. Significant changes continued through 18 months for FAB and 30CST. No significant changes in 10MWT were observed; however, a moderate effect size was observed at the 1-year point. CONCLUSIONS: Participants with PD were able to achieve statistically significant improvements in standard measures of functional mobility, balance, and strength within the timeline of this study. Limitations include the retrospective nature, an inability to monitor adherence, and lack of control over pharmaceutical or other interventions.

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BACKGROUND: The number of chronic diseases has been associated with changes in depressive symptoms over time among middle-aged and older adults. This study aimed to explore the association between the number of chronic diseases and trajectories of depressive symptoms and the role of age in this association. METHODS: A total of 12,974 middle-aged and older Chinese adults (≥ 45 years) participated in the China Health and Retirement Longitudinal Study (CHARLS) in waves 2011, 2013, 2015, 2018, and 2020. The number of chronic diseases was determined by self-reported hospital diagnosis of hypertension, dyslipidemia, diabetes, cancer, chronic lung diseases, liver disease, heart diseases, stroke, kidney diseases, digestive diseases, emotional, nervous, or psychiatric problems, memory-related disease, arthritis or rheumatism, asthma, and then obtaining the total number of chronic diseases. Depressive symptoms were measured by the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). Group-based trajectory modeling (GBTM) was adopted to capture the trajectories of depressive symptoms over time. Multinomial logistic regressions were conducted to examine the association between the number of chronic diseases and trajectories of depressive symptoms and the role of age in this association. RESULTS: Four distinct trajectories of depressive symptoms were observed in 34.68% individuals in mild, 40.76% in moderate, 19.41% in increasing, and 5.15% in severe group. Compared to participants without chronic diseases, those with one, two, three or more chronic diseases had a 1.81, 3, and 7.49-fold higher risk of developing severe depressive symptom trajectory, respectively. Moreover, the association between the number of chronic diseases and severe depressive symptoms trajectory differed by age (45-59 and ≥ 60 years) (P for interaction < 0.05). CONCLUSION: Participants with middle age may play a promoting role in the association between the number of chronic disease and severe depressive symptoms. The severe depressive symptoms intervention may be more beneficial for middle-aged adults.

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BACKGROUND: Prior studies are inconclusive regarding the effect of obesity on mortality in persons with colorectal cancer (CRC). We sought to determine the association of pre-diagnosis body mass index (BMI) trajectories on mortality after CRC diagnosis. METHODS: Utilizing the Multiethnic Cohort, we included adults aged 18-75 between 1 January 1993 and 1 January 2019 with a diagnosis of CRC and at least three available BMIs. The primary exposure, BMI, was subjected to group-based trajectory modeling (GBTM). We evaluated all-cause and CRC-specific mortality, using Cox proportional hazard (PH) models. RESULTS: Of 924 persons, the median age was 60 years, and 54% were female. There was no statistically significant association between pre-cancer BMI trajectory and either all-cause or cancer-specific mortality. In competing risk analysis, the risk of CRC-specific mortality was higher for African Americans (HR = 1.56, 95% CI [1.00-2.43], p = 0.048) and smokers (HR = 1.59, 95% CI [1.10-2.32], p = 0.015). Risk of all-cause mortality was higher for Hawaiian persons (HR = 2.85, 95% CI [1.31-6.21], p = 0.009) and persons with diabetes (HR = 1.83, 95% CI [1.08-3.10], p = 0.026). CONCLUSIONS: Pre-diagnosis BMI trajectories were not associated with mortality after CRC diagnosis, whereas race/ethnicity, diabetes, and smoking were associated with an increased risk of death. Our findings suggest the obesity paradox alone does not account for mortality after CRC diagnosis.

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BACKGROUND: Depression and anxiety are prevalent after stroke and associated with poor outcomes. We previously co-developed a stroke-specific self-management intervention, HEADS: UP (Helping Ease Anxiety and Depression after Stroke). The two studies reported here aimed to test the feasibility and acceptability of the HEADS: UP course and supporting materials, and research processes ahead of a definitive trial. METHODS: We recruited community-dwelling stroke survivors (SS) ≥ 3 months post-stroke, with symptoms of mood disorder (Hospital Anxiety and Depression Scale ≥ 8). Participants could 'enrol' a family member/ 'other' to take part with them, if desired. Study 1 tested HEADS: UP delivered in-person, and informed optimisation of research processes and intervention delivery and materials. In a pragmatic response to Covid-related socialising restrictions, HEADS: UP was then adapted for online delivery, tested in Study 2. The primary outcome (both studies) was the feasibility (acceptability, fidelity) of the intervention and of research processes. Quantitative data (including patient-reported outcome measures (PROMs) assessing mood and quality of life) and qualitative data were collected pre-/post-intervention. Descriptive statistics were used to analyse quantitative data; a thematic framework approach was used to analyse qualitative data. Both studies received ethical approval prior to commencement. RESULTS: Study 1 Feasibility: 13 (59.1%) of 22 potentially eligible stroke survivors consented; aged 66 (median, interquartile range (IQR) 14); male (n = 9; 69%); 28 (IQR 34) months post-stroke. Of these, n = 10 (76.9%) completed PROMS pre-intervention; n = 6 (46.2%) post-intervention. Acceptability: Nine (69.2%) of the 13 participants attended ≥ 4 core intervention sessions. Aspects of screening and data collection were found to be burdensome. Study 2 Feasibility: SS n = 9 (41%) of 22 potentially eligible stroke survivors consented; aged 58 years (median; IQR 12); male (n = 4; 44.4%); 23 (IQR 34) months post-stroke. Of these, n = 5 (55.6%) completed PROMS pre-intervention; n = 5 (55.6%) post-intervention. Acceptability: Five (55.6%) of the 9 participants attended ≥ 4 core sessions. They found online screening and data collection processes straightforward.

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Cannabis use is associated with increased psychosis incidence alongside worse outcomes. The role of cannabis may be complex, vary across patients and over time. Yet, few have examined the longer-term trajectories of cannabis use, symptoms and functioning and their inter-relationships. We conducted a 5-year longitudinal study to estimate joint-trajectories of clinical severity, social functioning, and cannabis use via group-based multi-trajectory modelling on a sample of 395 incident FEP cases. Associations of trajectories with socio-demographic and clinical factors were tested using multinomial regression. The best-fitting model identified 5 joint-trajectories. A first group (N = 93,23.7 %) presented only marginal improvement despite not using cannabis, while a second with no cannabis use and a third group with low-decreasing use showed clinical amelioration. Among those with baseline harmful cannabis use, a fourth group progressively discontinued use and improved clinically (N = 78,19.9 %). A fifth group with continued use did not significantly improve over follow-up (N = 74,18.8 %), and also had the highest odds of homelessness (OR = 22.5,95 %CI = 6.25-81.1) and childhood adversities (OR = 2.25,95 %CI = 1.71-2.97). There is substantial heterogeneity in the joint-trajectories of cannabis use and FEP outcomes. Our findings support the need for intervention aimed at cannabis reduction among heavy users. Multi-disciplinary, trauma-informed interventions may benefit those with persistent cannabis use, given its associations with childhood and social adversity.

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BACKGROUND: Studies exploring early life-course BMI trajectories and subsequent mental health outcomes are limited but may provide important insights for early intervention. We investigated associations between BMI trajectories from 0 to 18 years and mental health outcomes in emerging adulthood. METHODS: Data were obtained from 434 participants in the Melbourne Atopy Cohort Study (MACS). Anthropometric data were collected across 26 timepoints from infancy to age 25 and group-based trajectory modelling used to develop BMI trajectories from 0.1 to 18 years. Moderate-to-severe psychological distress (MSPD) and likely depression were assessed at age 18 and 25 years. Associations between BMI trajectories and mental health at 25 years and change in mental health between 18 and 25 years were estimated using logistic regression. History of asthma, hay fever or eczema were independently examined as potential effect modifiers. RESULTS: Five BMI trajectories were identified from 1 month to 18 years. When compared to the stable average BMI trajectory, we found increased risk of MSPD (OR = 2.97; 95%CI: 1.09,8.06) and likely depression (3.56; 1.39,9.12) at age 25 in the average increasing to high trajectory. This group also had a greater likelihood of new-onset depression (4.82; 1.54,15.0) from 18 to 25 years of age. LIMITATIONS: MACS participants are not representative of the general population and mental health data was not available before 18 years of age. CONCLUSION: Excessive weight gain across the childhood transition was associated with poorer mental health in emerging adulthood, highlighting the importance of monitoring growth to allow for early identification and stratification of individuals are risk of poor mental health.

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The study aimed to examine the efficacy of a culturally-adapted, group-based parent coaching program for autistic children in China delivered via telehealth. A randomized controlled trial was conducted, with 18 parents allocated to the self-directed group that received the intervention through an online learning platform, and 19 parents allocated to the web + group therapy group, which included the same program along with weekly 1.5-hour group coaching sessions via videoconferencing. The primary outcomes were parents' mental health and children's adaptive functioning, while the secondary outcomes focused on the child behaviors, parenting stress and parenting style, and family quality of life. Linear Mixed Models were used to evaluate treatment effects across time and to model longitudinal trajectories of outcomes in both children and parents. Both intervention groups showed significant improvements in children's communication skills (F (1, 60.27) = 29.86, p < 0.001) and social engagement (F (1, 60.07) = 11.73, p = 0.001), as well as reductions in parenting stress (F (1, 59.07) = 8.76, p = 0.004) and anxiety levels (F (1, 57.62) = 4.84, p = 0.032). Additionally, the group-based parent coaching via videoconferencing was associated with greater improvements in children's quality of life (F (1, 59.95) = 5.90, p = 0.018) and parents' anxiety outcomes (F (1, 57.62) = 4.84, p = 0.032). This study demonstrated the efficacy of a culturally adapted telehealth intervention for both autistic children and their parents. The preliminary findings suggest positive outcomes in children's adaptive functioning and parents' mental well-being. Group-based parent coaching through videoconferencing could be a promising and practical model for in-home services, particularly for families with limited access to in-person services.

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The psychological states of wives and husbands are thought to influence each other to varying degrees. However, relatively little is known from a longitudinal observation about the effects of spouses' psychological distress and well-being on their mental health. To address this question, we analyzed the TWIN Study II dataset using a three-wave annual survey of the psychological distress and happiness of 379 dual-income families. A group-based trajectory modeling analysis was conducted to identify psychological distress patterns and happiness over time, while estimating the effects of spouses' psychological distress and happiness and their own job demands, control, and support as time-varying covariates. The two- or three-group trajectory model best fit husbands' and wives' psychological distress and happiness trajectories. Husbands' trajectories of psychological distress and happiness were significantly influenced by wives' happiness as well as their own job demands and/or support, whereas wives' happiness and psychological distress were not.

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Objective: This study aimed to characterize multivariate trajectories of blood pressure [systolic blood pressure (SBP) and diastolic blood pressure (DBP)] jointly and examine their impact on incident cardiovascular disease (CVD) among a Chinese elderly medical examination population. Methods: A total of 13,504 individuals without CVD during 2018-2020 were included from the Chinese geriatric physical examination cohort study. The group-based trajectory model was used to construct multi-trajectories of systolic blood pressure and diastolic blood pressure. The primary outcome was the incidence of the first CVD events, consisting of stroke and coronary heart diseases, in 2021. The Cox proportional hazards model was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between BP multi-trajectories and incident CVD events. Results: We identified four blood pressure (BP) subclasses, summarized by their SBP and DBP levels from low to high as class 1 (7.16%), class 2 (55.17%), class 3 (32.26%), and class 4 (5.41%). In 2021, we documented 890 incident CVD events. Compared with participants in class 1, adjusted HRs were 1.56 (95% CI: 1.12-2.19) for class 2, 1.75 (95% CI: 1.24-2.47) for class 3, and 1.88 (95% CI: 1.24-2.85) for class 4 after adjustment for demographics, health behaviors, and metabolic index. Individuals aged 65 years and above with higher levels of BP trajectories had higher risks of CVD events in China. Conclusions: Individuals with higher levels of both SBP and DBP trajectories over time were associated with an increased risk of incident CVD in the Chinese elderly population.

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Introduction: This study aimed to explore the relationship between the trajectories of body weight (BW) z-scores at birth, discharge, and 6 months corrected age (CA) and neurodevelopmental outcomes at 24 months CA. Methods: Conducted as a population-based retrospective cohort study across 21 hospitals in Taiwan, we recruited 3,334 very-low-birth-weight (VLBW) infants born between 2012 and 2017 at 23-32 weeks of gestation. Neurodevelopmental outcomes were assessed at 24 months CA. Instances of neurodevelopmental impairment (NDI) were defined by the presence of at least one of the following criteria: cerebral palsy, severe hearing loss, profound vision impairment, or cognitive impairment. Group-based trajectory modeling was employed to identify distinct BW z-score trajectory groups. Multivariable logistic regression was used to assess the associations between these trajectories, postnatal comorbidity, and neurodevelopmental impairments. Results: The analysis identified three distinct trajectory groups: high-climbing, mid-declining, and low-declining. Significant associations were found between neurodevelopmental impairments and both cystic periventricular leukomalacia (cPVL) [with an adjusted odds ratio (aOR) of 3.59; p < 0.001] and belonging to the low-declining group (aOR: 2.59; p < 0.001). Discussion: The study demonstrated that a low-declining pattern in body weight trajectory from birth to 6 months CA, along with cPVL, was associated with neurodevelopmental impairments at 24 months CA. These findings highlight the importance of early weight trajectory and specific health conditions in predicting later neurodevelopmental outcomes in VLBW infants.

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AIM: Cardiovascular diseases are the leading cause of death globally. Ensuring ongoing use of medicines-medication persistence-is crucial, yet no prior studies have examined this in residential aged care facilities (RACFs). We aimed to identify long-term trajectories of persistence with cardiovascular medicines and determine predictors of persistence trajectories. METHOD: A longitudinal cohort study of 2837 newly admitted permanent residents from 30 RACFs in New South Wales, Australia. We monitored weekly exposure to six cardiovascular medicine classes-lipid modifiers, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEI/ARBs), beta-blockers, diuretics, calcium channel blockers (CCB), and cardiac therapy-over 3 years. Group-based trajectory modeling was employed to determine persistence trajectories for each class. RESULTS: At baseline, 76.6% (n = 2172) received at least one cardiovascular medicine with 41.2% receiving lipid modifiers, 31.4% ACEI/ARBs, 30.2% beta-blockers, 24.4% diuretics, 18.7% CCBs, and 14.8% cardiac therapy. The model identified two persistence trajectories for CCBs and three trajectories for all other classes. Sustained high persistence rates ranged from 68.4% (ACEI/ARBs) to 79.8% (beta-blockers) while early decline in persistence and subsequent discontinuation rates ranged from 7.6% (cardiac therapy) to 25.3% (CCBs). Logistic regressions identified 11 predictors of a declining persistence across the six medicine classes. CONCLUSION: Our study revealed varied patterns of cardiovascular medicine use in RACFs, with 2-3 distinctive medicine use trajectories across different classes, each exhibiting a unique clinical profile, and up to a quarter of residents discontinuing a medicine class. Future studies should explore the underlying reasons and appropriateness of nonpersistence to aid in identifying areas for improvement.

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Background: Sepsis triggers a strong inflammatory response, often leading to organ failure and high mortality. The role of serum albumin levels in sepsis is critical but not fully understood, particularly regarding the significance of albumin level changes over time. This study utilized Group-based Trajectory Modeling (GBTM) to investigate the patterns of serum albumin changes and their impact on sepsis outcomes. Methods: We conducted a retrospective analysis on ICU patients from West China Hospital (2015-2022), employing GBTM to study serum albumin fluctuations within the first week of ICU admission. The study factored in demographics, clinical parameters, and comorbidities, handling missing data through multiple imputation. Outcomes assessed included 28-day mortality, overall hospital mortality, and secondary complications such as AKI and the need for mechanical ventilation. Results: Data from 1,950 patients revealed four serum albumin trajectories, showing distinct patterns of consistently low, increasing, moderate, and consistently high levels. These groups differed significantly in mortality, with the consistently low level group experiencing the highest mortality. No significant difference in 28-day mortality was observed among the other groups. Subgroup analysis did not alter these findings. Conclusion: The study identified four albumin trajectory groups in sepsis patients, highlighting that those with persistently low levels had the worst outcomes, while those with increasing levels had the best. Stable high levels above 30 g/L did not change outcomes significantly. These findings can inform clinical decisions, helping to identify high-risk patients early and tailor treatment approaches.

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Refugees within the post-migration context experience higher rates of mental health symptoms due to a variety of pre- and post-migration factors. However, there is a lack of research in understanding best practices in culturally grounded interventions aimed at improving well-being outcomes. Recent research shows group interventions are a potential pathway to mental health treatment for refugees. This systematic review aimed to (1) assess best practices among group-based interventions within the refugee context, (2) provide literature-informed guidance on best practices within group-based interventions for this population, and (3) examine the impact of group-based interventions on the mental health outcomes of adult refugees in the post-migration context in high-income countries. A systematic literature search was conducted using Academic Search Complete, Social Work Abstracts, and PsycINFO. A total of 2,243 studies were identified, with 19 meeting the inclusion criteria to be from a peer-reviewed journal article; be published from 2003 to 2023; be written in English; have a study population of refugees in the post-resettlement context in a high-income country; include a group-based intervention model; and be quantitative or mixed methods. Results demonstrated that group-based interventions improve mental health symptoms, including post-traumatic stress disorder, depression, and anxiety. Studies varied on their use of culturally grounded mechanisms in developing and implementing interventions. Future research is needed to understand the longitudinal impacts of group-based interventions on mental health and better support current practices to facilitate access to intervention implementation.

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Introduction: Adverse childhood experiences (ACEs) impact cognitive function, but the relationship remains unclear. We aim to identify cognitive function trajectories and scrutinize the correlation between ACEs and cognitive function. Methods: To identify cognitive trajectories, we employed a group-based trajectory model, and influential factors were determined using multinomial unordered logistic regression analysis. Results: Three cognitive decline subgroups emerged: low-start decline, high-start stability, and mid-start decline. There is no dose-response relationship between cumulative adverse childhood experiences and cognitive function. The high-start stability group had specific residence and education traits, while sibling death affected them. The mid-start decline group was vulnerable to parental death, physical abuse, and domestic violence. The low-start decline group should consider age structure and childhood friendships. Conclusions: No dose-response association between cumulative ACEs and cognitive decline. Still, specific ACE metrics are correlated with cognitive trajectories. We can incorporate patients' ACEs into cognitive function assessments for early risk factor identification and tailored interventions. Moreover, recognizing the influence of early-life experiences on cognitive function, we can advocate for nurturing positive family and societal environments to optimize cognitive function.