Exploring Factors Associated with Dietary Improvement Among Participants Who Completed a Randomized Controlled Trial for Physical Activity: Evidence of a Transfer Effect.

BACKGROUND: This research aimed at understanding how changes in one behavior affect other behaviors, known as "transfer effect," could extend knowledge of shared constructs among compound health risk behaviors, and improve methods for promoting simultaneous behavior changes. The current study explored whether participants who completed a randomized controlled trial for physical activity (PA) improved their diet with no intervention in diet or nutrition. METHODS: US adults (N = 283) were randomly assigned to 12 weeks of either exercise videogames, standard exercise, or an attention control. Secondary analyses were conducted to examine a possible transfer effect of the intervention on diet at end of intervention (EOT) and 6-month follow-up. Assessments of potential PA constructs (i.e., exercise enjoyment, self-efficacy) and demographics (e.g., age, gender) were conducted. PA, specifically moderate-to-vigorous levels of physical activity (MVPA), was measured using a self-report measure. Diet was measured using the Rate Your Plate dietary assessment. RESULTS: Findings support that a randomization effect was associated with a higher likelihood of increasing MVPA (ß = 30.00, 95% CI = 4.46, 64.46) and dietary improvement at EOT (ß = 1.48, SE = .83, P = .01) and follow-up (ß = 1.74, SE = .52, P = .02). At EOT, changes in diet were associated with higher PA enjoyment (ß = 0.41, SE = 0.15, P = .01). This intervention effect on diet was moderated by gender, with women showing more dietary improvement than men (ß = - .78, SE = 13, P = .03). At 6 months, dietary improvement was associated with greater self-efficacy (ß = .04, SE = .01, P = .01). CONCLUSION: This study shows evidence of a transfer effect among two synergistic behaviors and expands understanding of factors that predict the occurrence of this type of behavior change.

Comparisons of urine protein-to-creatinine ratios and their dynamic change patterns during labor at term between normal pregnant women and women with pregnancy induced hypertension.

Introduction: To evaluate patterns of change in the urine protein-to-creatinine ratios (uPCRs) during labor at term between normal and women with pregnancy-induced hypertension (PIH). Methods: This is an observational study in tertiary referral hospital, recruiting 269 women at term delivery in Taiwan from April 19, 2019 to April 18, 2021. uPCRs in four phases (latent, active, recovery and early postpartum) and related clinical data at delivery were collected. Multivariate analyses with a linear regression model were performed to analyze continuous variables after adjusting for clinical data between two groups. Results: Based on exclusion criteria, 68 normal and 24 pregnant women with PIH were included. There were no differences in the uPCR or the proportion cases of uPCRs ≥ 300 mg/g between normal and PIH group in the four phases. There was a statistically significant tendency for the proportion of uPCRs ≥ 300 mg/g to increase from the latent to the early postpartum phase in both groups. The proportion of uPCRs ≥ 300 mg/g significantly increased from the active to the recovery phase and then declined from the recovery to the early postpartum phase in the normal group. Thus no differences in uPCRs cases change between any two phases in women with PIH, except the duration above stated. Conclusion: This is the first study to demonstrate that uPCRs data are not different between normal pregnant and PIH groups during the course of labor, but it did show different dynamic change patterns throughout the labor phases.

Long-term drinking behavior change patterns and its association with hyperuricemia in chinese adults: evidence from China Health and Nutrition Survey.

BACKGROUND: We aimed to explore the association between long-term drinking behavior change patterns with hyperuricemia (HUA) in Chinese community adults. METHODS: This study was designed as a community-based unbalanced cohort study involving 4127 adults aged between 18 ~ 75 years, derived from the China Health and Nutrition Survey (CHNS) in 1997 and 2009. Drinking behavior change patterns were categorized into: never drinking, change to drinking, quitting drinking, and continued drinking. The alcoholism, type, and frequency of drinking were further categorized. We applied logistic regression models to explore the associations between drinking behavior change patterns and HUA. RESULTS: The average age of the participants was 54.6 (± 11.3) years and 47.8% were male. The overall prevalence of HUA was 15.5%. Drinking behavior change patterns of quitting (aOR 1.8; 95% CI 1.1 ~ 2.8) and continued drinking (aOR 2.0; 95% CI 1.3 ~ 3.0) were positively associated with high risks of HUA in the male participants. Early drinking behaviors such as liquor intake (aOR 1.8; 95% CI 1.4 ~ 2.5) and high consumption or frequency showed a positive correlation with HUA. Of note, heavy alcoholism (aOR 2.0; 95% CI 1.4 ~ 2.8) and daily drinking (aOR 2.5; 95% CI 1.7 ~ 3.6) had the highest risks of HUA. Furthermore, in the male participants, the association between early total alcohol intake and HUA was more pronounced at 18 standard drinks intake, with a stable increasing trend. In contrast, no statistical correlation was observed between the drinking behaviors and HUA in the female participants. CONCLUSIONS: Drinking behavior change patterns of quitting and continued drinking are strongly associated with increased risks of HUA in males. The risks emanated from early drinking behaviors such as liquor drinking, high drinking frequency, and alcohol consumption. Although quitting drinking was associated with lower HUA risks compared to continued drinking, it still presented an undeniable risk for HUA.

A novel multi-model fusion framework diagnoses the complex variation characteristics of ecological indicators and quantitatively reveals their driving mechanism.

Systematic analysis of the change law and driving mechanism of ecological indicators (GPP, ET, WUE), as well as the study of maximum threshold of water resources benefit changing with ecological benefit, are important prerequisites for realizing the scientific allocation and efficient utilization of water resources in desert riparian forests. However, previous studies have defects in the detailed description of the change characteristics of ecological indicators. How to accurately diagnose the characteristics of a site, mutation year, pattern (linear, exponential, logarithmic, etc.), duration of change, future change trends of ecological indicators in a desert riparian environment, as well as quantitatively revealing their driving mechanisms, are major scientific problems that need to be solved urgently. In this regard, an ensemble function coupling a logistic function and an asymmetric Gaussian function was creatively adopted, a novel framework was created to integrate the time-series trajectory fitting method and the sensitivity analysis method, and the arid and ecologically fragile Tarim River Basin was taken as a typical area. The results showed that with enhanced water resource management in the Tarim River Basin, GPP, ET, and WUE all showed patterns of increasing change and could be expected to continue to rise or to remain at a high-level stable state. The longest continuous period of GPP change was 15 years, showing that ecological restoration is a long-term process. The years of GPP mutation were consistent with the implementation periods of major measures in the Tarim River Basin (1990, 2001, and 2011), indicating the reliability of this framework. More importantly, when GPP increased to 216.44 gCm-2, the maximum WUE threshold of 0.93 gCm-2mm-1 occurred. This threshold can be used as a reference criterion for efficient utilization of ecological water in the basin. Among the ecological indicators studied, GPP was the most sensitive to environmental change, but GPP, with 80.60% of pixel area, showed a weak memory effect（α < 0.4). Besides, GPP was the most sensitive to the leaf area index (LAI) and had the strongest correlation with it (p < 0.001). Therefore, LAI can be used as the main control factor for judging plant growth. This research can provide important scientific guidance and reference for the analysis of ecological indicator changes and the sustainable utilization of water resources in arid areas.

Change patterns and determinants of physical activity differ between breast, prostate, and colorectal cancer patients.

PURPOSE: The purpose of this study was to examine and compare pre- to post-diagnosis change patterns of physical activity (PA) among breast, prostate, and colorectal cancer patients. Moreover, the study aimed to investigate sociodemographic and medical determinants of post-diagnosis PA and to identify patient subgroups at increased risk of inactivity. METHODS: A total of 912 cancer patients (457 breast, 241 prostate, 214 colorectal cancer) completed a questionnaire assessing their pre- and post-diagnosis PA behavior, and sociodemographic and medical variables. Age-adjusted regression and classification tree analyses were used to investigate PA determinants and detect subgroups that were most likely to meet or not meet PA guidelines. RESULTS: Across cancer types, we found that PA yet decreased from pre- to post-diagnosis, but that 54.1% of participants still reported to be meeting PA guidelines after the diagnosis. While post-diagnosis PA was strongly affected by previous PA behavior among individuals of all patient groups, other sociodemographic and medical determinants played different roles depending on cancer type. The results yielded that previously active, longer diagnosed patients with higher education levels were most likely to be meeting PA guidelines post-diagnosis, whereas specifically previously inactive prostate cancer patients had an increased likelihood of insufficient activity. CONCLUSIONS: An encouragingly high number of cancer patients indicated sufficient PA levels. For those having difficulties to maintain or adopt PA post-diagnosis, interventions should be tailored to the specific characteristics of each cancer type, as different factors are associated with PA for each patient group.

Activity and subsequent depression levels: a causal analysis of behavioural activation group treatment with weekly assessments over 8 weeks.

Research on behavioural activation (BA) for depression assumes that increasing the rate of rewarding activities leads to reduced depressive mood. Although the efficacy of BA treatment has been convincingly demonstrated, assumptions referring to the mechanisms underlying this effect have not been tested decisively yet. The Behavioural Activation Scale for Depression and the Beck Depression Inventory II were administered over 8 weeks in 161 reliably diagnosed patients with unipolar depression who underwent BA treatment in groups. Time-lagged associations between behavioural activity on depression at subsequent assessment (1 week later) and vice versa were modelled (a) with multilevel models and (b) dynamic panel models that eliminate shared constant factors and allow for reverse causation (e.g., depression affecting subsequent activation in the model for activation on depression). Both activation and depression changed significantly (model-based within effect sizes for activation = .70 and for depression = -.75). Higher activation and lower depression predict each other over time (mixed-effects, time-lagged model), but this association disappears in dynamic causal models. Change patterns were only analysed within a time frame of 1 week; smaller time intervals were not investigated. There were no objective observational data of activity patterns. In the present study, increased behavioural activity and reduced depressive mood co-occur on the week scale. They predict each other across time, but this may be due to shared causes only.

Patterns of change in different phases of outpatient psychotherapy: a stage-sequential pattern analysis of change in session reports.

Knowledge about typical change patterns of psychotherapy patients can help to improve treatment guidelines for psychological disorders. Recent studies showed that it is possible to identify several patient subgroups with regard to their early change pattern. However, although focusing on the early phase of treatment, change patterns in later stages have hardly been investigated yet. In this study, Growth Mixture Modelling was used to identify latent change classes in different phases of therapy in a naturalistic sample of 1229 psychotherapy outpatients. Furthermore, this paper inquired into the relation between the change patterns in different phases as well as their predictive power for therapy length and outcome. Results revealed different change patterns for the three investigated phases. While in an early treatment phase, (sessions one-six) five different change patterns could be identified: the number of change classes decreased considerably over time, resulting in three patterns in the second (sessions 7-12) and two in the third phase (sessions 13-18). In each phase, by far, the biggest class showed a pattern of good progress with small/no further improvements. KEY PRACTITIONER MESSAGES: Most change in patients' progress estimates took place in an early phase of the treatment and levelled out on a relatively high level in later phases of the treatment. Substantial improvements were still present in later phases of the treatment but occurred less frequent than in early stages. Continuous outcome monitoring and feedback systems should integrate progress measures to monitor patients progress especially in the early phase of the treatment and feed the so gained information back to therapists.

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

Purpose: Although experimental psychopathology using PET, EEG, and fMRI is at the forefront of understanding the underlying mechanisms of sleep inertia, many questions concerning causality remain unanswerable due to ethical constraints and the use of small and heterogeneous samples in experimental methods. There is a pressing need for a novel perspective in a large and relatively homogeneous population to fully capture and elucidate longitudinal processes and dynamic causality that culminate in episodes of sleep inertia over time. Therefore, this study aimed to reveal the causal relationships between symptoms of sleep inertia across its distinct patterns. Patients and Methods: A total of 1636 intern nurses participated in the first survey (94.1% validity rate), then 1277 intern nurses were followed up (82.9% tracing rate). Symptoms of sleep inertia were self-reported using the Sleep Inertia Questionnaire. The cross-lagged panel network models were used to examine unique longitudinal relationships between symptoms of sleep inertia across distinct trajectories. Results: Four distinct trajectories of sleep inertia were established. Additionally, we found differences in those symptoms with the highest influence on other symptoms at the subsequent point across the networks of four trajectories, particularly, "Difficulty in concentrating" in the persistent-high group and "Feeling tense" in the deteriorating groups. Conclusion: The current study highlights changes in sleep inertia based on the long-term course over time. Notably, symptoms of "Difficulty in concentrating" and "Feeling tense" are imperative to address these specific symptoms within subpopulations.

Changes in sleep disturbance among Chinese adolescents: A population-based online survey.

OBJECTIVE: Sleep disturbance is prevalent among adolescents but little is known about the short-term changes among Chinese adolescents. The study aimed to explore the prevalence and change patterns of sleep disturbance and identify its risk and protective factors. METHODS: Data were collected online from April 21st to May 12th, 2021 (Time 1, T1) and December 17th to 26th, 2021 (Time 2, T2). The final sample comprised 34,260 adolescents. Self-administrated questionnaires were used to assess socio-demographic variables, sleep disturbance, depression, anxiety, life events, family function, and resilience. RESULTS: The prevalence of sleep disturbance was 12.0% at T1 and 11.8% at T2, with higher rates in females than males. Four groups of sleep disturbance change patterns were identified: non-sleep disturbance group (80.4%), persistent group (4.2%), new-onset group (7.6%), and remission group (7.8%). Risk factors for new-onset sleep disturbance included being in junior high school (AOR = 1.26, 95%CI = 1.15-1.38), family history of mental disorders (AOR = 1.49, 95%CI = 1.03-2.15), and moderate (AOR = 1.24, 95%CI = 1.13-1.36) and severe (AOR = 1.48, 95%CI = 1.27-1.72) family dysfunction. Risk factors for persistent sleep disturbance included being in junior (AOR = 1.25, 95%CI = 1.08-1.45) and senior (AOR = 1.53, 95%CI = 1.15-2.03) high school, parental currently unmarried status (AOR = 1.34, 95%CI = 1.05-1.73), moderate (AOR = 1.19, 95%CI = 1.02-1.39) and severe (AOR = 1.28, 95%CI = 1.06-1.55) family dysfunction. Medium (AOR = 0.48, 95%CI = 0.43-0.53) and high (AOR = 0.34, 95%CI = 0.29-0.40) levels of resilience were protective factors against new-onset sleep disturbance, as well as against persistent sleep disturbance (medium level: AOR = 0.51, 95%CI = 0.43-0.60; high level: AOR = 0.32, 95%CI = 0.25-0.43). CONCLUSIONS: Interventions aimed at promoting family functions and enhancing resilience may improve sleep disturbance among adolescents.

Past and projected future patterns of fractional vegetation coverage in China.

With the intensifying climate change and the strengthening ecosystem management, quantifying the past and predicting the future influence of these two factors on vegetation change patterns in China need to be analyzed urgently. By constructing a framework model to accurately identify fractional vegetation coverage (FVC) change patterns, we found that FVC in China from 1982 to 2018 mainly showed linear increase (29.5 %) or Gaussian decrease (27.4 %). FVC variation was mainly affected by soil moisture in the Qi-North region and by vapor pressure deficit in other regions. The influence of environmental change on FVC, except for Yang-Qi region in the southwest (-2.0 %), played a positive role, and weakened from the middle (Hu-Yang region: 2.7 %) to the northwest (Qi-North region: 2.4 %) to the east (Hu-East region: 0.8 %). Based on five machine learning algorithms, it was predicted that under four Shared Socioeconomic Pathways (SSPs, including SSP126、SSP245、SSP370、SSP585) from 2019 to 2060, FVC would maintain an upward trend, except for the east, where FVC would rapidly decline after 2039. FVC in the eastern region experienced a transition from past growth to future decline, suggesting that the focus of future ecosystem management should be on this region.

Spatiotemporal change patterns and driving factors of land surface temperature in the Yunnan-Kweichow Plateau from 2000 to 2020.

In this study, the spatiotemporal change patterns and driving factors of land surface temperature (LST) on the Yunnan-Kweichow Plateau (YKP) during 2000-2020 are investigated by using the Thermal and Reanalysis Integrating Moderate-resolution Spatial-seamless (TRIMS) LST dataset provided by National Tibetan Plateau Data Center. The YKP LST spatiotemporal change patterns are revealed at annual, seasonal, monthly, and daily scales. Furthermore, seven driving factors such as air temperature, land cover types, normalized difference vegetation index, precipitation, solar radiation, elevation, and latitude are quantified the impacts on LST spatial heterogeneity at annual scale. The main findings are as follows: (1) Annual mean LST increases by 0.016 K/year. Annual mean daytime LST slightly decreases by 0.009 K/year. Annual mean nighttime LST significantly increases by 0.042 K/year. (2) The trend and seasonal components of the daily, daily mean daytime, and daily mean nighttime LST have five and four breakpoints respectively, indicating that the variation of LST is unstable during 2000-2020 on the YKP. (3) The LST lapse rates at nighttime are generally higher than those at daytime on the YKP at the annual, seasonal, and monthly scales. The LST maximum lapse rate is 0.59 K/100 m in summer nighttime, and the LST minimum lapse rate is 0.18 K/100 m in winter daytime. (4) The controlling effects of seven factors are generally stronger in the nighttime than those in the daytime. The factors of elevation and air temperature dominate the LST spatial distribution on the YKP, with a contribution rate of >70 %. In addition, the interactions among the seven factors are all enhancing the effects on the spatial distribution of annual mean LST, including bivariate enhancement and nonlinear enhancement. This study contributes to the mitigation and adaptation to climate change of LST in the plateau and plays a theoretical reference role in formulating corresponding policies for environmental protection.

A longitudinal analysis on determinants of problem drinking among Korean women: focusing on a gender perspective.

BACKGROUND: In recent years, female drinking has been on the rise worldwide, and this trend can be observed in Korea as well. Accordingly, this study aimed to examine the heterogeneous longitudinal changes in drinking patterns among Korean women, while also exploring the determinants of these changes. In particular, the study identified the gender perspective-related determinants of the classified patterns of problem drinking. METHODS: Data on 4615 adult women who participated in the Korea Welfare Panel Study (KOWEPS) for 3 years (2018-2020) were analyzed longitudinally using SPSS Statistics 22.0 and M-plus 7.0. The changes in female drinking patterns were analyzed using latent class growth analysis. Subsequently, multinomial logistic regression analysis was performed to identify the predictive factors affecting the changes in drinking patterns. RESULTS: Latent class analysis yielded three classes: "low problem drinking/decreased," "moderate problem drinking/maintained," and "high problem drinking/increased." Of the participants, 80.4% were in the first class, 14.5% in the second, and 5.1% in the third. After controlling for sociodemographic and psychosocial factors, we found: i) domestic violence, work-family balance stress, and gender role perception were not statistically significant for the "moderate problem drinking/maintained" class; lower levels of depression (odds ratio; OR = .750, p < .05) and higher levels of satisfaction with social relationships (OR = 1.257, p < .05) increased the probability of belonging to the "moderate problem drinking/maintained" group compared to the low problem drinking/decreased class; ii) in the "high problem drinking/increased" class, relative to the low problem drinking/decreased class, experience of domestic violence (OR = 1.857, p < .05), work-family balance stress (OR = 1.309, p < .05), and gender role perception (OR = .705, p < .05) were significant predictors of drinking behavior. CONCLUSIONS: Problem drinking in Korean women demonstrated heterogeneous patterns of change, with gender-specific factors being the main predictors of this change. Therefore, this study developed a strategy for reducing the harmful effects of female drinking, which considers the characteristics of the changes in women's drinking patterns as well as factors from the gender perspective.

Change patterns of sleep problems predict mental health problems among adolescents: a 10-year cohort study of Chinese Wenchuan earthquake.

BACKGROUND: The predictive effects of change patterns of sleep problems on mental health after a long-term disaster remain poorly known. We examined the change patterns of sleep problems after the Wenchuan earthquake, and tested whether specific sleep-related change patterns could predict mental health problems (posttraumatic stress disorder [PTSD], anxiety, and depression) in the 10 years after Wenchuan earthquake. METHODS: 1357 adolescents exposed to the Wenchuan earthquake were surveyed on potential sleep problems at 18 months (T18m) and 30 months (T30m) post-earthquake. Among them, 799 participants completed the followed-up survey online 10 years after the earthquake (T10y). Since some participants did not provide sleep problems data at both T18m and T30m, 707 samples were included in final analyses. Linear regression analysis was performed. RESULTS: Four different patterns of sleep problems were identified: stable-low pattern (61.1%), stable-high pattern (15.3%), decreasing pattern (13.2%), and increasing pattern (10.5%). Additionally, we found that individuals in stable-high and increasing patterns were more likely to experience PTSD, anxiety, and depression at T10y in the crude model. After controlling for confounders (e.g., earthquake exposure), these patterns were strongly predictive of depression at T10y. LIMITATIONS: Only two waves of sleep problems were collected and subjective sleep outcomes methods were used to collect data instead of objective methods. CONCLUSIONS: Sleep problems had heterogeneity after a deadly earthquake. Individuals in stable-high and increasing patterns should be given more attention. Timely assessment and targeted interventions on specific sleep problems are necessary for preventing an escalation of adverse mental health outcomes.

How did human dwelling and working intensity change over different stages of COVID-19 in Beijing?

The COVID-19 pandemic has changed human daily activities significantly. Understanding the nature, causes, and extent of these changes is essential to evaluate the pandemic's influence on commerce, transportation, employment, and environment, among others. However, existing studies mainly focus on changes to general human mobility patterns; few have investigated changes in specific human daily activities. Based on one-year longitudinal mobile phone positioning data for more than 31 million users in Beijing, we tracked intensity changes in two basic human daily activities, dwelling and working, over the stages of COVID-19. The results show that during COVID-19 outbreak, human working intensity decreased about 60% citywide, while dwelling intensity decreased about 40% in some work and education areas. After COVID-19 was under control, intensity in most regions has recovered, but that in schools, hotels, entertainment venues, and tourism areas has not. These intensity changes at regional scale are due to behavior changes at individual scale: about 43% of residents left Beijing before COVID-19, while only 16% have returned back; all commuters decreased their commuting times during COVID-19, while only 75% have reverted to normal. The findings reveal variations in human activities caused by COVID-19 that can support targeted urban management in the post-epidemic era.

A Longitudinal Change Patterns of Depression and Its Relationship with Socioeconomic Deprivation among Middle-Aged Adults in South Korea.

This study aimed to identify the longitudinal pattern changes of South Koreans' midlife depression and determine the impact of socioeconomic deprivation on the observed change in patterns. In total, 3975 middle-aged individuals were examined by conducting a latent class growth analysis and multinomial logistic regression analysis on seven years of Korea Welfare Panel data (2012-2018) using STATA 16.0 (StataCorp LLC, College Station, TX, USA). The change patterns of midlife depression were classified into normal depression reduction group, mild depression maintenance group, and serious depression increase group. The impact of the experience of socioeconomic deprivation on the classified change patterns was examined using the normal depression reduction group as the reference group. It was found that the higher an individual's nutritional, housing, occupational/economic, and healthcare deprivation, the higher their risk of mild depression maintenance or serious depression increase. The serious depression increase group showed higher relative risk ratios in all domains. Comprehensive and integrated social welfare services, such as stable income, housing welfare, and healthcare services, should be provided along with appropriate clinical interventions for depression alleviation that account for the pattern changes in midlife depression.

Typical symptom change patterns and their predictors in patients with social anxiety disorder: A latent class analysis.

OBJECTIVES: The use of trajectories and analysis of change patterns is a promising way toward better differentiation of subgroups in psychotherapy studies. Research on change patterns in social anxiety disorder (SAD) are still rare, although SAD is one of the most common mental disorders. In a secondary analysis of data from the SOPHO-NET-trial (ISRCTN53517394) this study aimed to investigate change patterns and their predictors in a sample of SAD patients. METHODS: Patients with SAD (N = 357) were randomly assigned to cognitive-behavioral or psychodynamic therapy. The Liebowitz Social Anxiety Scale (LSAS) was assessed at 1st session (pre), 8th session, 15th session and at the end of treatment (post). We used latent state variables and latent class analysis for the classification of change patterns and logistic regression for the identification of different predictors. RESULTS: Analyses revealed three typical patterns: (i.) responders with a high initial impairment (N = 57), (ii.) responders with a moderate initial impairment (N = 225), and (iii.) patients with a high initial impairment and no remission (N = 75). Among other significant predicators, patient´s attachment anxiety and therapeutic alliance at session eight contributed to the prediction of change patterns. DISCUSSION: Psychotherapy of SAD should consider patient's attachment and focus on the establishment of a solid therapeutic alliance in an early therapy stage.

Implications of Change/Stability Patterns in Children's Non-symbolic and Symbolic Magnitude Judgment Abilities Over One Year: A Latent Transition Analysis.

Non-symbolic magnitude abilities are often claimed to support the acquisition of symbolic magnitude abilities, which, in turn, are claimed to support emerging math abilities. However, not all studies find links between non-symbolic and symbolic magnitude abilities, or between them and math ability. To investigate possible reasons for these different findings, recent research has analyzed differences in non-symbolic/symbolic magnitude abilities using latent class modeling and has identified four different magnitude ability profiles residing within the general magnitude ability distribution that were differentially related to cognitive and math abilities. These findings may help explain the different patterns of findings observed in previous research. To further investigate this possibility, we (1) attempted to replicate earlier findings, (2) determine whether magnitude ability profiles remained stable or changed over 1 year; and (3) assessed the degree to which stability/change in profiles were related to cognitive and math abilities. We used latent transition analysis to investigate stability/changes in non-symbolic and symbolic magnitude abilities of 109 5- to 6-year olds twice in 1 year. At Time 1 and 2, non-symbolic and symbolic magnitude abilities, number transcoding and single-digit addition abilities were assessed. Visuospatial working memory (VSWM), naming numbers, non-verbal IQ, basic RT was also assessed at Time 1. Analysis showed stability in one profile and changes in the three others over 1 year. VSWM and naming numbers predicted profile membership at Time 1 and 2, and profile membership predicted math abilities at both time points. The findings confirm the existence of four different non-symbolic-symbolic magnitude ability profiles; we suggest the changes over time in them potentially reflect deficit, delay, and normal math developmental pathways.

[Seasonal Changes of the Pathways of Nitrogen Export from an Agricultural Watershed in China].

Nonpoint source pollution has become a major factor influencing the water quality. Identifying the pathway of nitrogen (N) transport from the source to the watershed mouth is a critical step in taking measures to control this pollution. However, it is difficult to identify the pathway of N transport because the transport pathway varies among different watersheds depending on the difference in the terrain, hydrology, and land cover etc and changes over time. Additionally, there is little knowledge about the major pathway of N transport through agricultural watersheds in the Yunnan Plateau lake area. The pathways of N export and their temporal variations over time were investigated in this study based on a typical agriculture-dominated watershed in a plateau lake area, Yunnan Province, and two-year monitoring data (June 2011-May 2013) in combination with a base flow separation program. The results show that the base flow accounts for most of the streamflow discharge (80.0%) and N export (71.1%). The proportion of the stream flow discharge via storm flow increases significantly with increasing rainfall. Therefore, the percentage of total N (TN) export via storm flow increases with increasing storm flow, which is closely related to rainfall. The major pathway of N export shifts toward storm flow when the storm flow proportion of the stream flow discharge increases up to 40%. During the monitoring period, the proportion of the TN export via storm flow increases up to 65.6% in the rainy season. This study provides important information for the improvement of the management of nonpoint source pollution at the watershed scale.

Trajectories of physical and mental health among persons with morbid obesity and persons with COPD: a longitudinal comparative study.

BACKGROUND: Morbid obesity and chronic obstructive pulmonary disease (COPD) are prevalent diseases associated with impaired health-related quality of life (HRQoL). Research generally indicates that persons with morbid obesity increase their HRQoL following intervention, whereas evidence of increases in HRQoL in persons with COPD is mixed. Examining the patterns of change over time instead of merely examining whether HRQoL changes will add to the knowledge in this field. METHODS: A sample of persons with morbid obesity and persons with COPD was recruited from learning and mastery courses and rehabilitation centers in Norway. The data were collected by self-report questionnaires at the start of patient education and at four subsequent time points during the 1-year follow-up. HRQoL was measured with the Short Form 12, version 2, and repeated measures analysis of variance was employed in the statistical analysis. RESULTS: Participants with morbid obesity linearly increased their physical HRQoL during the 1-year follow-up, whereas participants with COPD showed no change. None of the groups changed their mental HRQoL during follow-up. In all subdomains of HRQoL, the participants with morbid obesity showed favorable, linearly increasing trajectories across the follow-up period. Among the participants with COPD, no change patterns occurred in the subdomains of HRQoL, except for a fluctuating pattern in the mental health domain. Age, sex, and work status did not influence the trajectories of HRQoL in any of the domains. CONCLUSION: A more favorable trajectory of HRQoL was found for persons with morbid obesity than for persons with COPD, possibly due to the obese persons' better chances of recovery.