Quadratic Growth Model Research Articles

Latent Growth Model with Categorical Indicators: Comparison of the Different Estimators

Despite its potential usage in social and behavioral sciences, there has been limited research on Latent Growth Models (LGM) with categorical indicators. The categorical nature of binary or ordinal variables violates the multivariate normality assumption of the traditional maximum likelihood (ML) estimator. Alternative estimators can be employed, such as marginal maximum likelihood (MML), categorical weighted least squares (c-WLS), and categorical diagonally weighted least squares (c-DWLS). A Monte Carlo simulation study was conducted to compare the performance of the three estimators in the context of categorical LGM. The results revealed that the MML estimator performed the best for the correctly specified linear growth model, whereas the robust c-DWLS or c-WLS estimator excelled in correctly specified quadratic growth model. The robust c-DWLS and c-WLS estimators were more sensitive to model misspecifications. The findings of the present study provide important implications and practical recommendations for empirical researchers using categorical LGM.

Revisiting Lorenz’s Error Growth Models: Insights and Applications

This entry examines Lorenz’s error growth models with quadratic and cubic hypotheses, highlighting their mathematical connections to the non-dissipative Lorenz 1963 model. The quadratic error growth model is the logistic ordinary differential equation (ODE) with a quadratic nonlinear term, while the cubic model is derived by replacing the quadratic term with a cubic one. A variable transformation shows that the cubic model can be converted to the same form as the logistic ODE. The relationship between the continuous logistic ODE and its discrete version, the logistic map, illustrates chaotic behaviors, demonstrating computational chaos with large time steps. A variant of the logistic ODE is proposed to show how finite predictability horizons can be determined, emphasizing the continuous dependence on initial conditions (CDIC) related to stable and unstable asymptotic values. This review also presents the mathematical relationship between the logistic ODE and the non-dissipative Lorenz 1963 model.

Optimal operating conditions for the rapid growth of KH2PO4 crystal by numerical simulation

Numerical simulations of the turbulent hydrodynamics and concentration in the rapid growth of potassium dihydrogen phosphate (KH2PO4 or KDP) crystals have been performed. In this work, a quadratic power-law growth model is applied, concerning the mass transfer occurring at the crystal surface during the growth process under low supersaturations. The mass transfer boundary condition is discretized by using the Over-Relaxed approach. The effects of the growth temperature and rotation rate on surface supersaturation distribution and the diffusion layer are investigated, which are critically involved in the processes of surface morphological instability and inclusion formation. Due to the kinetic limitation, the response of different types of crystal surfaces to temperature varies, with a pyramidal surface about twice as high as a prismatic face. In addition, the contour map of the growth rate combined with the coefficient of variation (C.V) for various temperatures and rotation rates is used. Uniformity of surface supersaturation is provided by lowering the growth temperature and increasing the rotation rate. Furthermore, the criteria of crystal growth strategies are proposed to optimize the process parameters and obtain favorable conditions for crystal growth, thereby facilitating defect-free and high-quality crystal formation at an appropriate growth rate.

Effects of Chronic Pain Diagnoses on the Antidepressant Efficacy of Transcranial Magnetic Stimulation.

Major depressive disorder (MDD) and chronic pain are highly comorbid and bidirectionally related. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex is effective in treating MDD, but additional research is needed to determine if chronic pain interferes with rTMS for MDD. Participants were 124 veterans ( Mage = 49.14, SD = 13.83) scheduled for 30 sessions of rTMS across 6 weeks. Depression severity was monitored weekly using the Patient Health Questionnaire-9 (PHQ-9). Having any pain diagnosis, low back pain, or headache/migraine were assessed by chart review. We fit latent basis models to estimate total change by pain diagnosis in depression scores and quadratic latent growth models to examine differences in growth rates. Then, we computed χ2 tests of group differences in response (PHQ-9 reduction ≥50%) and remission rates (final PHQ-9 < 5). A total of 92 participants (74%) had a documented pain diagnosis, 58 (47%) had low back pain, and 32 (26%) had headache/migraine. In growth models, depression scores initially decreased (linear slope estimate = -2.04, SE = 0.26, p < .0001), but the rate of decrease slowed over time (quadratic slope estimate = 0.18, SE = 0.04, p < .001). Overall change was not different as a function of any pain diagnosis ( p = .42), low back pain (p = .11 ), or headache/migraine ( p = .28). However, we found that low back pain was a negative predictor of response ( p = .032). These data support rTMS as a viable treatment option for comorbid populations. Although patients with comorbid chronic pain conditions are likely to receive benefit from rTMS for depression, adjunctive pain treatment may be indicated.

DOES LIVING WITH A FAMILY AFFECT SOCIAL CONTACT/PARTICIPATION? VARIATIONS ACROSS BIRTH COHORTS AND GENDER IN JAPAN

Abstract Changing family structures and values might have affected social relationships outside the household in a different way for men and women. This study clarified birth cohort and gender differences among older Japanese in terms of (a) trajectories of social contact and participation and (b) effects of living with a family on them. Data were obtained from ten waves of the National Survey of the Japanese Elderly (1987-2021) for 5,855 individuals who commenced participation by 2012. Quadratic growth models were examined as a function of age at time t (≥63 years) for the frequency of contact with children living apart, with friends and neighbors, and participation in community groups, whose intercept and slope were predicted by gender and birth cohorts (C1:1902-13, C2:1914-25, C3:1926-37, C4:1938-49). Whether effects of being married and co-residing with a child would differ by gender and cohorts was also examined, controlling for socioeconomic and health status. The results showed that the level of contact/participation at age 75 increased in women in recent cohorts. The frequency for friends and groups declined with age after the mid-70s across cohorts. C4 showed a steeper decline in the child/friend contact, indicating the COVID-19 influence. Living with a family generally impeded social contact, except that married men contacted non-coresident children more frequently than their unmarried counterparts. The negative effect of living with a child was greater in women and the earliest birth cohort. Thus, social isolation could matter not only for older adults living alone, but also for those living with a family.

Variations in 1-year Trajectories of Levels of Pain and Capability After Shoulder Arthroplasty Are Associated With Baseline Mental Health.

There is variability in the trajectories of pain intensity and magnitude of incapability after shoulder arthroplasty. A better understanding of the degree to which variation in recovery trajectories relates to aspects of mental health can inform the development of comprehensive biopsychosocial care strategies. (1) Do pain intensities at baseline and the trajectories during recovery differ between groups when stratified by mental health composite summary score, arthroplasty type, and revision surgery? (2) Do magnitudes of capability at baseline and the trajectories during recovery differ between these groups? We used a registry of 755 patients who underwent shoulder arthroplasty by a single surgeon at a specialized urban orthopaedic hospital that recorded the mental component summary (MCS) score of the Veterans RAND 12, a measure of shoulder-specific comfort and capability (American Shoulder and Elbow Surgeons [ASES] score, which ranges from 0 to 100 points, with a score of 0 indicating worse capability and pain and 100 indicating better capability and pain and a minimum clinically important difference of 6.4), and the VAS for pain intensity (range 0 [representing no pain] to 10 [representing the worst pain possible], with a minimum clinically important difference of 1.4) preoperatively, 2 weeks postoperatively, and 6 weeks, 3 months, 6 months, and 1 year after surgery. Forty-nine percent (368 of 755) of the patients were men, with a mean age of 68 ± 8 years, and 77% (585) were treated with reverse total shoulder arthroplasty (rTSA). Unconditional linear and quadratic growth models were generated to identify the general shape of recovery for both outcomes (linear versus quadratic). We then constructed conditional growth models and curves for pain intensity and the magnitude of capability showing mean baseline scores and the rates of recovery that determine the trajectory, accounting for mental health (MCS) quartiles, primary or revision arthroplasty, and TSA or reverse TSA in separate models. Because pain intensity and capability showed quadratic trends, we created trajectories using the square of time. Patients in the worst two MCS quartiles had greater pain intensity at baseline than patients in the best quartile (difference in baseline for bottom quartile: 0.93 [95% CI 0.72 to 1.1]; p < 0.01; difference in baseline for next-worst quartile: 0.36 [95% CI 0.16 to 0.57]; p < 0.01). The rates of change in recovery from pain intensity were not different among groups (p > 0.10). Patients with revision surgery had greater baseline pain (difference: 1.1 [95% CI 0.7 to 1.5]; p < 0.01) but no difference in rates of recovery (difference: 0.031 [95% CI 0.035 to 0.097]; p = 0.36). There were no differences in baseline pain intensity and rates of recovery between patients with reverse TSA and those with TSA (baseline pain difference: -0.20 [95% CI -0.38 to -0.03]; p = 0.18; difference in rate of recovery: -0.005 [95% CI -0.035 to 0.025]; p = 0.74). Patients in the worst two MCS quartiles had worse baseline capability than patients in the best quartile (difference in baseline for bottom quartile: -8.9 [95% CI -10 to -7.4]; p < 0.001; difference in baseline for the next-worst quartile: -4.9 [95% CI -6.4 to -3.4]; p < 0.01), with no differences in rates of recovery (p > 0.10). Patients with revision surgery had lower baseline capability (difference in baseline: -13 [95% CI -15 to -9.7]; p < 0.01), with a slower rate of recovery (difference in rate of recovery: -0.56 [95% CI -1.0 to -0.079]; p = 0.021). There were no differences in baseline capability or rates of recovery between TSA and reverse TSA. The observation that preoperative and 1-year comfort and capability are associated with mental health factors and with similar recovery trajectories reminds us that assessment and treatment of mental health is best considered an integral aspect of musculoskeletal care. Future studies can address how prioritization of mental health in musculoskeletal care strategies might reduce variation in the 1-year outcomes of discretionary surgeries such as shoulder arthroplasty. Level III, therapeutic study.

Longitudinal Effects of Sex, Aging, and Multiple Sclerosis Diagnosis on Function.

A gap in research about the trajectories of function among men and women aging with functional limitations because of multiple sclerosis (MS) hinders ability to plan for future needs. Using a biopsychosocial model, we characterize how men and women with MS report changes over time in their function and test how person-level differences in age, diagnosis duration, and sex influence perceived function. A longitudinal study with multiple waves of surveys was used to collect data on participant perceptions of function, as well as demographic and contextual variables. Self-reported functional limitation was measured over a decade. The study participants were community residing with physician-diagnosed MS. The people with MS had a diagnosis duration of about 13 years and were around 51 years of age, on average, at the start of the study. They were primarily women and non-Hispanic White. We analyzed the data using mixed-effects models. Subject-specific, functional limitation trajectories were described best with a quadratic growth model. Relative to men, women reported lower functional limitation and greater between-person variation and rates of acceleration in functional limitation scores. Results suggest function progressed through two pathways for over a decade, particularly closer to diagnoses. Variability in trajectories between individuals based on sex and years since diagnosis of disease indicates that men and women with MS may experience perceptions of their function with age differently. This has implications for clinician advice to men and women with MS.

0421 Synchronous Virtual Cognitive Behavioral Therapy for Insomnia: Preliminary Results of Sleep Pattern Changes among Cancer Survivors

Abstract Introduction For cancer survivors, insomnia is a frequent and distressing concern. Cognitive behavioral therapy for insomnia (CBT-I) is an effective treatment, yet in-person care can be difficult for cancer survivors to access for a variety of socioeconomic, medical and logistical reasons. In a pilot randomized clinical trial, four, weekly sessions of virtually-delivered, synchronous CBT-I were feasible, acceptable, and seemingly efficacious for reducing insomnia among cancer survivors (vs. an enhanced usual care control). The aim of this secondary analysis was to characterize daily patterns in sleep diary metrics during the intervention phase. Methods Adults who had completed treatment for any non-metastatic cancer and had chronic insomnia (DSM-5 criteria and Insomnia Severity Index score &amp;lt;=15) and were randomized to receive CBT-I completed daily assessments of sleep quality (SQ), total sleep time (TST), time in bed (TIB), sleep efficiency (SE), sleep onset latency (SOL), and waking after sleep onset (WASO) for 21 days (i.e., from Session 1-4). Linear mixed models were used to compute trajectories of change for each sleep metric and -2 log likelihood, AIC, and BIC fit indices. Results Among 20 cancer survivors who received CBT-I (mean age 51.2 ± 17.1 years, 90% female), model fit indices indicated that across sleep metrics, linear growth models provided a better fit to the data than either quadratic or cubic growth models. Significant linear improvement was observed for SQ (B = 0.02, t = 3.60, p &amp;lt; 0.001), SE (B = 0.16, t = 2.01, p = 0.046), and SOL (B = -0.41, t = -2.47, p = 0.01), but not TIB, TST, or WASO (ts &amp;lt; 1.12, ps &amp;gt; 0.26). Conclusion Findings elucidate how sleep may be expected to change over the course CBT-I, in particular for the growing population of cancer survivors seeking virtual care for insomnia. The strengths, limitations, and potential modifications to optimize the intervention across sleep metrics will be discussed. Support (if any) This work was conducted with support from the American Cancer Society (Massachusetts General Hospital Institutional Research Grant, PI: Hall).

Short-term and long-term effects of the COVID-19 pandemic on child psychological well-being: a four-wave longitudinal study.

As the COVID-19 pandemic further unfolds, it becomes a key theoretical and practical question to identify trajectories of child psychological well-being and to explore risk and resilience factors for developmental adjustment. The current study addressed this research gap by means of an ecological design: A (lockdown)-B (relaxation)-B (relaxation)-A (lockdown). We collected parental reports via online questionnaires over four measurement occasions during the COVID-19 pandemic in Germany (non-probabilistic sample): from the first lockdown (T1-spring 2020, N = 1769) to the following period of relaxation (T2-summer 2020, n = 873; T3-fall 2020, n = 729) on to the second lockdown (T4-winter 2020/21, n = 748). Key measures at T1-T4 were child emotional and behavioral problems as well as hyperactivity, child emotional and family-related well-being, parental strain, and parent-child relationship quality. We found evidence for quadratic growth models. While child problem behaviors (b = 0.32, p < 0.001) and emotional well-being (b = -0.33, p < 0.001) improved after the first lockdown during subsequent periods of relaxation before worsening again in the second lockdown, child family-related well-being steadily decreased over all four measurement points (T1-T2: p < 0.001; T2-T3: p = 0.045; T3-T4: p = 0.030). Importantly, parental stress emerged as a strong risk factor (ps < 0.11) and the parent-child relationship quality constituted a resilience factor (p = 0.049) for child psychological well-being. These findings have major implications for policies aiming to further child health during the COVID-19 pandemic.

Proactive and reactive aggression: Developmental trajectories and longitudinal associations with callous-unemotional traits, impulsivity, and internalizing emotions.

Research on proactive and reactive aggression has identified covariates unique to each function of aggression, but hypothesized correlates have often not been tested with consideration of developmental changes in or the overlap between the types of aggression. The present study examines the unique developmental trajectories of proactive and reactive aggression over adolescence and young adulthood and tests these trajectories' associations with key covariates: callous-unemotional (CU) traits, impulsivity, and internalizing emotions. In a sample of 1,211 justice-involved males (ages 15-22), quadratic growth models (i.e., intercepts, linear slopes, and quadratic slopes) of each type of aggression were regressed onto quadratic growth models of the covariates while controlling for the other type of aggression. After accounting for the level of reactive aggression, the level of proactive aggression was predicted by the level of CU traits. However, change in proactive aggression over time was not related to the change in any covariates. After accounting for proactive aggression, reactive aggression was predicted by impulsivity, both at the initial level and in change over time. Results support that proactive and reactive aggression are unique constructs with separate developmental trajectories and distinct covariates.

Germination and growth of Sterculia colombiana in Arosemena Tola, Napo, Ecuador

Introduction. The Amazon region has a great plant diversity, but studies on their propagation and growth have been carried out in few species. Objective. To evaluate the in situ and ex situ germination of Sterculia colombiana and its growth characteristics after planting in ground covers of primary forest and intervened areas. Materials and methods. The study was carried out in Napo, Ecuador, in the period 2019-2020. The germination of S. colombiana was characterized in the variables: days and percentage to emergence, plant height, stem diameter and number of leaves, under greenhouse conditions and planted at the collection site. The plants obtained in the germination test were transplanted to a ground cover of primary forest (in situ) and an intervened area with replacement vegetation (ex situ). Linear, quadratic, cubic, exponential, and logarithmic growth models for stem height and diameter were evaluated. The air and soil temperature and the physical-chemical characteristics of the soil were recorded. An analysis of variance was performed to determine differences in growth and survival between the plantation sites and between the plants obtained in the in situ and ex situ tests. Results. The seedlings obtained from greenhouses reported fewer days to emergence and higher values in the rest of the variables evaluated than those grown in situ. The plants developed in the different evaluated covers, without significant differences in growth at the end of the study, only a significant correlation at 5 % between stem diameter and air temperature was reported. Conclusions. Sterculia colombiana germinated in a greenhouse and developed in the transplant sites, without this influencing its growth. Temperature was the only factor that reported significant correlations with growth at the end of the evaluation period.

A longitudinal examination: association between part-time faculty and student academic achievement at public two-year colleges

ABSTRACT A considerable number of studies have investigated the relationship between part-time faculty employment and student academic achievement, such as credential completion. However, most studies used cross-sectional data, making it difficult to properly assess the changes in this relationship. In this study, we drew longitudinal data from IPEDS, and linear and quadratic growth models to understand the dynamic relationship between part-time faculty and graduation rates at public two-year colleges. Rigorous analysis results based on growth models and imputed datasets suggested part-time faculty employment is negatively associated with student graduation rates at public community colleges. This research finding might have important implications for resource allocation relevant to faculty employment, institutional excellence, and academic achievement at community colleges.

The Effect of Economic Growth and Energy Consumption on Carbon Emissions in Indonesia

This study aims to (i) analyze the effect of economic growth and energy consumption on carbon emissions; and (ii) investigate the Environmental Kuznets Curve (EKC) between economic growth and carbon emissions in Indonesia based on annual data between 2003 and 2019 using the Ordinary Least Square (OLS) technique. The estimation results show that economic growth has a negative and significant effect on carbon emissions; Energy consumption has a positive and significant effect on carbon emissions. Using the quadratic economic growth model, EKC does not occur in Indonesia. The curve is U-shaped so that economic growth increases and carbon emissions decrease; after reaching a certain point, carbon emissions can increase as economic growth increases. Hopefully, these findings will enable Indonesia, which has a status as a developing country and is rich in natural resources, to encourage government views and policies in an economic structure that is more environmentally friendly and low in emissions and to replace fossil fuel energy with renewable energy.

The effect of acute exercise on the cortisol awakening response.

The effects of acute exercise on the cortisol awakening response (CAR), characterized by the rapid increase in cortisol concentrations within the 30-45min following sleep offset has yet to be fully elucidated. Thus, our study investigated the effects of late-evening acute exercise on the CAR the following morning. We hypothesized that exercise would have a significant effect on the CAR the following morning. Twelve participants (mean (SD): age = 23 (4) years; mass = 76.8 (8.7) kg; height = 175.6 (5.0) cm; [Formula: see text]O2max = 48.9 (7.5) ml.kg-1.min-1) reported to the laboratory in the evening (1800h) on two occasions and were randomly assigned to either exercise for one hour (70-75% of maximal power output) or rest condition. Blood and saliva samples were assayed for cortisol. Mixed-effects models determined the effect of exercise on the cortisol response post-waking in both blood and saliva. Participants demonstrated an average exercise-induced increase in circulating cortisol of 477.3%, with actual mean (SD) heart rate relative to maximum of 87.04% (6.14%). Model results demonstrated a negative effect for exercise condition when modeling the serum and salivary cortisol responses to awakening via a quadratic growth model (serum, βCondition = -42.26 [95% CI -64.52 to -20.01], p < 0.001; saliva, βCondition = -11.55 [95% CI -15.52 to -7.57], p < 0.001). These results suggest that cortisol concentrations in saliva and blood are significantly lower the morning following a prior evening exercise session. Therefore, the CAR may serve as a useful biomarker to monitor responses to exercise training, although the underlying mechanism for these decreases in the CAR should be investigated further.

Impacts on the ESG and financial performances of companies in the manufacturing industry based on the climate change related risks

In the face of global systemic risks brought about by climate change, government organizations, civil societies, and enterprises globally have begun standardizing and implementing relevant contingency measures to mitigate or adapt to climate change. For example, Take SDG 13 climate action or implement various strategies for low-carbon transformation. In addition to responding to climate change commitments, these major changes have also boosted the rating scores of their ESG performance indicators, which inevitably have a certain degree of impact on their financial performance. Using the ESG performance indicators and financial data of 100 manufacturing firms worldwide from 2005 to 2020, this study constructs a multilevel quadratic growth model to analyze and investigate the effects of different types of ownership structure as well as disclosure of climate change-related risks and opportunities (CCR risks) on ESG and financial performance indicators among manufacturing industry firms. The findings of this study showed that different ownership structures, the degree of disclosure of climate change-related risks and opportunities (CCR risks), and the number of environmental performance indicators had no multiplicative effect on the financial performance of manufacturing companies. Instead, there was a positive, but negatively moderating, effect on financial performance. When the investigated enterprises attached higher importance to climate change issues and thus strengthened investments in, and implementation of, corresponding environmental performance indicators, the positive impact of environmental performance on financial performance gradually diminished to the point of negative impact, thereby affecting companies' operating profits. This was especially the case for private enterprises. However, disclosure of climate change-related risks and opportunities has a significant positive effect on financial performance among such firms. In addition, private firms and social performance indicators had a negative, but positively moderating, effect on financial performance. This meant that, upon investigation, the private enterprises made more effort to invest in and implement social performance indicators, and the impact on financial performance gradually increased and eventually shifted from negative to positive. Environmental performance indicators and financial performance were generally found to exhibit a distinctly positive effect.In summary, the results of this study can be used as a reference for firm managers to enhance their decision-making related to actions, strategies, and planning in response to climate change-related risks and opportunities under the framework of ESG performance indicators.

Receptive Language Abilities for Females Exposed to Early Life Adversity: Modification by Epigenetic Age Acceleration at Midlife in a 30-Year Prospective Cohort Study.

Deviations from normative trajectories of receptive language abilities following early life adversity (ELA) may indicate an elevated risk for advanced cognitive aging and related morbidities. Accelerated epigenetic aging at midlife may further identify those at greatest risk for advanced cognitive aging following ELA. We examined whether accelerations in epigenetic aging at midlife can identify those individuals who demonstrated the greatest change in receptive language abilities following ELA. Data were drawn from the Female Growth and Development Study (n=86), a 30-year prospective cohort study of females exposed to substantiated child sexual abuse (CSA), a severe ELA, and a non-CSA comparison condition. The Peabody Picture Vocabulary Test-Revised (PPVT-R) measured receptive language abilities on 6 occasions from childhood to mid-life. Interindividual differences in PPVT-R trajectories were examined in relation to CSA exposure and across 5 independent measures of epigenetic age acceleration derived from first (Horvath DNAmAge, Hannum DNAmAge) and second (GrimAge, PhenoAge, Dunedin Pace of Aging) generation epigenetic clocks. Quadratic growth models revealed that PPVT-R scores were significantly lower at age 25 for females exposed to CSA. Specifically, CSA exposed females had lower intercepts when GrimAge was accelerated and a smaller quadratic trend when PhenoAge was accelerated. ELA is associated with significant differences in development of receptive language abilities with the most pronounced differences observed for females with accelerated epigenetic ages at mid-life. These findings suggest that epigenetic age acceleration could serve as an indicator of differences in cognitive aging and portend to later adulthood cognitive functioning.

85 Automated Walk-Over Weighing System: Methods to Track Daily Body Mass and Growth in Grazing Steers

Abstract Body weight (BW) is a critical component for monitoring animal weight gain, body condition, nutritional status. Remote animal weighing systems facilitate frequent collection of animal BW, however, datasets often contain spurious data. The objective of this study was to describe the utility of using a remote Walk-over-Weigh system and subsequent methods for data cleaning. Beef steers (n = 10) were tagged with Electronic RFID tags (EID) in an improved pasture (~12.1 hectares) containing Bermuda and Tall Fescue and inter-seeded with Annual Ryegrass and grazed from Feb. – Dec. 2020. Static chute weights (n = 80) were collected monthly, and a WOW system placed by the water to remotely collect BW (n = 5,466). Data were first loaded into Program R and scanned for spurious data using each of 2 primary approaches, 1) the whole herd and individual means ± 1 standard deviation (SD) calculated daily or over the entire trial and 2) each of 3 data smoothing algorithms, which included a quadratic growth model, cubic splines, and polynomial regression. Then, data with spurious observations removed were paired with static chute weights and fitted to a linear model to measure accuracy (mean bias) and precision (R2) of WOW data. Whole herd mean ± 1SD and individual daily mean ± 1SD identified 1,204 and 1,516 spurious data, with mean bias of -12.46 and -15.37 KG and R2 of 0.90 and 0.68, respectively. Smoothing functions identified 1,707, 4,684, and 4,776 spurious points, with a mean bias of 13.61, -19.78, and 12.58 KG, and R2 of 0.94, 0.70, and 0.87 for quadratic growth models, cubic splines, and polynomial regression, respectively. These results indicate the utility of using a simple WOW system to collect data for measuring growth curves and using weight data in a real-time fashion to make management and marketing decisions.

The progression rate of spinocerebellar ataxia type 3 varies with disease stage

BackgroundIn polyglutamine (polyQ) diseases, the identification of modifiers and the construction of prediction model for progression facilitate genetic counseling, clinical management and therapeutic interventions.MethodsData were derived from the longest longitudinal study, with 642 examinations by International Cooperative Ataxia Rating Scale (ICARS) from 82 SCA3 participants. Using different time scales of disease duration, we performed multiple different linear, quadratic and piece-wise linear growth models to fit the relationship between ICARS scores and duration. Models comparison was employed to determine the best-fitting model according to goodness-of-fit tests, and the analysis of variance among nested models.ResultsAn acceleration was detected after 13 years of duration: ICARS scores progressed 2.445 (SE: 0.185) points/year before and 3.547 (SE: 0.312) points/year after this deadline. Piece-wise growth model fitted better to studied data than other two types of models. The length of expanded CAG repeat (CAGexp) in ATXN3 gene significantly influenced progression. Age at onset of gait ataxia (AOga), a proxy for aging process, was not an independent modifier but affected the correlation between CAGexp and progression. Additionally, gender had no significant effect on progression rate of ICARS. The piece-wise growth models were determined as the predictive models, and ICARS predictions from related models were available.ConclusionsWe first confirmed that ICARS progressed as a nonlinear pattern and varied according to different stages in SCA3. In addition to ATXN3 CAGexp, AOga or aging process regulated the progression by interacting with CAGexp.

Does the Matthew effect have an impact on the reading skills of Turkish-speaking children?

ABSTRACT Research has often emphasised that children who experience difficulties in learning to read get poorer in their performance, and the gap between good and poor readers increases over time which describes the well-accepted phenomenon called the Mathew Effect. However, some studies have shown that the Matthew Effect has not been confirmed. In this study, the reading growth curves of Turkish-speaking children and the existence of the Matthew Effect in their performances were examined. For this purpose, the reading skills of 482 children were measured twice a year in the first and second grades. A quadratic growth model successfully fit the data to explain overall reading performance across four-time points. Further, three latent classes, named as good, moderate, and poor readers, were identified on the basis of individual trajectories. Accordingly, the difference in performance between good readers and poor readers continued in all time points. Although the difference between classes continued to increase especially in the second and third time points, and supported the Matthew Effect, it showed a horizontal slope in the fourth time point. This slope shows that reading differences between classes may close in the future. The results were discussed on the basis of Turkish sample.

Discrimination and mental health of Somali immigrants in North America: a longitudinal study from 2013 to 2019.

Immigrant mental health is closely linked to the context of reception in the receiving society, including discrimination; past research has examined this relationship only cross-sectionally. This longitudinal study examines the relationships between discrimination and mental health among Somali immigrants living in North America from 2013 to 2019. Data for 395 participants (mean age 21years at Time 1) were collected through the four-wave Somali Youth Longitudinal Study in four cities: Boston, MA, Minneapolis, MN, Lewiston/Portland, ME, and Toronto, ON. Latent linear and quadratic growth models were used to predict mental health symptoms over time and discrimination's role in these changes. PTSD and anxiety symptoms decreased from 2013 to 2015 and subsequently increased. Depression was static from 2013 to 2015, worsening thereafter. Increases in discrimination predicted increases in mental health symptomatology at all timepoints. This study provides support for discrimination's toxic impact on mental health and suggests that recent increases in discrimination may have contributed to worsening mental health among Somali immigrants living in North America.