Strongest Predictor Of Change Research Articles

“If well framed”, non-Muslims will visit the mosque: does co-existence matter?

Purpose This two-part explanatory study aims to examine how the framing of messages influences non-Muslims who are unlikely to visit a mosque due to their self-conception, and how this might affect their behavioural change specifically, their intention to visit. This study also tested the impact of co-existence between framed actual image, ideal image and the intention to visit. Design/methodology/approach Using a snowball sampling approach, the study first sampled participants without message framing (358 respondents). Using the same respondents, the second phase of the study introduced message framing, resulting in 308 participants. Structural equation modelling was conducted using STATA Version 15. Findings The results indicate that a framed actual self-image is a stronger predictor of changes in consumer behaviour and thus leads to the intention to visit. The introduction of co-existence provided significant insights. Originality/value To the best of the author’s knowledge, this is the first study to objectively test the effectiveness of a framing technique in mosque tourism and to highlight message framing as a valid marketing strategy that can enhance consumer (tourist) switching behaviour towards the intention to visit. This study adds new insights into the psychological relationships between framed actual image, framed ideal image, co-existence and intention to visit, which has implications for self-congruity theory.

Change in child mental health during the Ukraine war: evidence from a large sample of parents.

The ongoing war in Ukraine is expected to negatively impact the mental health of the country's population. This study aims to provide a preliminary estimate of the degree of change in the mental health problems of Ukrainian children following Russia's invasion in February 2022, and to identify the sociodemographic and war-related risk factors associated with these changes. A nationwide, opportunistic sample of 1238 parents reported on a single randomly chosen child within their household as part of The Mental Health of Parents and Children in Ukraine Study. Data were collected between July 15th and September 5th, 2022. Participants completed modified versions of the Pediatric Symptom Checklist (PSC-17) which was adapted to capture change in the frequency of symptoms since the beginning of the war. Parents reported increases across all 17 indicators of internalizing, externalizing, and attention problems of the PSC-17. Increased problems were most pronounced within the internalizing domain, with 35% of parents reporting that their child worried more since the beginning of the war. A number of individual, parental, and war-related factors were associated with increases across the three domains. Exposure to war trauma, pre-existing mental health problems, and child age were among the strongest predictors of change. This survey provides preliminary evidence that the Russian war on Ukraine has led to an increase in common mental health problems among children in the general population. Further research is required to determine the extent and sequela of this increase, and to develop intervention strategies for those most in need.

Medium- and Long-Term Effects of Insomnia Severity and Circadian Preference on Pain and Emotional Distress Among Individuals With Chronic Pain

Studies have identified insomnia as having significant influence on chronic pain. A rising body of research has also underscored the association between eveningness and chronic pain. However, co-assessment of insomnia and eveningness in the context of chronic pain adjustment has been limited. The present study sought to investigate the effects of insomnia and eveningness on pain severity, pain interference, and emotional distress (ie, depressive and anxiety symptoms) over nearly 2 years among adults with chronic pain in the U.S. Adults with chronic pain (N = 884) were surveyed 3 times via Amazon’s MTurk online crowdsourcing platform: baseline, 9-month follow-up, and 21-month follow-up. Path analysis was conducted to examine the effects of baseline insomnia severity (Insomnia Severity Index) and eveningness (Morningness and Eveningness Questionnaire), as well as their moderating effects on outcomes. Controlling for select sociodemographic variables and baseline outcome levels, greater insomnia severity at baseline was associated with worsening of all of the pain-related outcomes at 9-month follow-up, and pain interreference and emotional distress at 21-month follow-up. We did not find evidence that evening types are at a higher risk of experiencing worsening pain-related outcomes over time compared to morning and intermediate types. There were also no significant insomnia severity and eveningness moderation effects on any outcome. Our findings suggest that insomnia is a more robust predictor of changes in pain-related outcomes as compared to eveningness. Treatment of insomnia can be important in chronic pain management. Future studies should evaluate the role of circadian misalignment on pain using more accurate biobehavioral makers. PerspectiveThis study examined the effects of insomnia and eveningness on pain and emotional distress in a large sample of individuals with chronic pain. Insomnia severity is a stronger predictor of changes in pain and emotional distress than eveningness, highlighting insomnia as an important clinical target for chronic pain management.

Disinhibition domain and facets uniquely predict changes in depressive symptoms and psychosocial functioning.

This study aimed to understand the role of disinhibition (low conscientiousness)-in conjunction with the other major personality traits of negative affectivity, detachment, antagonism, and psychoticism-in predicting changes in depressive symptoms and psychosocial functioning. Both the disinhibition trait domain and its primary facets (i.e., irresponsibility, impulsivity, and distractibility) were examined. In a large sample (Time 1 N = 605, Time 2 N = 497) of psychiatric outpatients and high-risk community residents, personality traits, depressive symptoms (both self-reported and interviewer-rated), and psychosocial functioning levels (i.e., daily functioning, interpersonal functioning, health-related quality of life, and global quality of life) were collected across two time points. Results showed that the disinhibition domain was the strongest predictor of changes in depressive symptoms and general quality of life levels. Disinhibition facets also predicted changes in depressive symptoms but showed a less consistent pattern compared to the broader trait domain. Finally, the irresponsibility and distractibility facets significantly and uniquely explained changes in interpersonal functioning. The study highlights the importance of assessing the disinhibition trait rather than only negative and positive affectivity (which are well-known correlates of depression), for understanding changes in depressive symptoms and psychosocial functioning. The findings identify potential targets in psychotherapy for individuals with disinhibition traits and depressive disorders.

Evaluating differences in setting expected body weight for children and adolescents in eating disorder treatment.

Weight restoration or weight gain is a common goal in eating disorder treatment. However, approaches to determine expected body weight (EBW) vary. A standardized approach based on normative data for a patient's age and gender uses weight associated with median BMI (mBMI). An individualized approach predicts EBW based on a patient's individual growth trajectory. Little research has examined differences in these approaches. Weight and clinical data were collected from patients ages 6-20 enrolled in virtual eating disorder treatment. EBW associated with mBMI was compared with EBW using the individualized approach. Linear mixed effects models examined differences in weight, eating disorder symptoms, depression, and anxiety, and whether EBW approach varied by patient characteristics. Patients (N=609) were on average age 15.6 (2.29), 85% were cisgender female, and predominantly diagnosed with anorexia nervosa (83.1%). The individualized approach led to significantly higher EBW on average (mean difference=8.4lbs [SE: .75]; p < .001) compared to mBMI; 70% of patients had a higher EBW using the individualized approach. Notably, EBW varied based on gender and diagnosis and it took longer on average to achieve individualized EBW. Time was the strongest predictor of changes in psychosocial outcomes and there were no significant differences by EBW approach. Results from this study indicate that an individualized approach led to significantly higher EBWs compared with using mBMI. As underestimation of EBW may lead to higher risk of relapse, eating disorder professionals should consider using an individualized approach for setting EBW. For eating disorder patients who need to gain weight, accurately estimating target body weight for eating disorder treatment is critical to recovery and preventing relapse. An individualized, patient-centered approach to estimating target body weight more accurately estimated target body weight than the standardized, median body mass index approach. Using an individualized approach to treatment may improve a patient's likelihood of full recovery.

SARS-CoV-2 antibody changes in patients receiving COVID-19 convalescent plasma from normal and vaccinated donors

Vaccination has been shown to stimulate remarkably high antibody levels in donors who have recovered from COVID-19. Our objective was to measure patient antibody levels before and after transfusion with COVID-19 Convalescent Plasma (CCP) and compare the antibody levels following transfusion of CCP from vaccinated and nonvaccinated donors. Plasma samples before and after transfusion were obtained from 25 recipients of CCP and COVID-19 antibody levels measured. Factors that effect changes in antibody levels were examined. In the 21 patients who received CCP from nonvaccinated donors, modest increases in antibody levels were observed. Patients who received two units were more likely to seroconvert than those receiving just one unit. The strongest predictor of changes in patient antibody level was the CCP dose, calculated by the unit volume multiplied by the donor antibody level. Using patient plasma volume and donor antibody level, the post-transfusion antibody level could be predicted with reasonable accuracy(R2> 0.90). In contrast, the 4 patients who received CCP from vaccinated donors all had dramatic increases in antibody levels following transfusion of a single unit. In this subset of recipients, antibody levels observed after transfusion of CCP were comparable to those seen in donors who had fully recovered from COVID-19. If available, CCP from vaccinated donors with very high antibody levels should be used. One unit of CCP from vaccinated donors increases patient antibody levels much more than 1 or 2 units of CCP from unvaccinated donors.

Rise of the war machines: Charting the evolution of military technologies from the Neolithic to the Industrial Revolution.

What have been the causes and consequences of technological evolution in world history? In particular, what propels innovation and diffusion of military technologies, details of which are comparatively well preserved and which are often seen as drivers of broad socio-cultural processes? Here we analyze the evolution of key military technologies in a sample of pre-industrial societies world-wide covering almost 10,000 years of history using Seshat: Global History Databank. We empirically test previously speculative theories that proposed world population size, connectivity between geographical areas of innovation and adoption, and critical enabling technological advances, such as iron metallurgy and horse riding, as central drivers of military technological evolution. We find that all of these factors are strong predictors of change in military technology, whereas state-level factors such as polity population, territorial size, or governance sophistication play no major role. We discuss how our approach can be extended to explore technological change more generally, and how our results carry important ramifications for understanding major drivers of evolution of social complexity.

Creepy, but Persuasive: In a Virtual Consultation, Physician Bedside Manner, Rather than the Uncanny Valley, Predicts Adherence

Care for chronic disease requires patient adherence to treatment advice. Nonadherence worsens health outcomes and increases healthcare costs. When healthcare professionals are in short supply, a virtual physician could serve as a persuasive technology to promote adherence. However, acceptance of advice may be hampered by the uncanny valley effect—a feeling of eeriness elicited by human simulations. In a hypothetical virtual doctor consultation, 441 participants assumed the patient’s role. Variables from the stereotype content model and the heuristic–systematic model were used to predict adherence intention and behavior change. This 2 × 5 between-groups experiment manipulated the doctor’s bedside manner—either good or poor—and virtual depiction at five levels of realism. These independent variables were designed to manipulate the doctor’s level of warmth and eeriness. In hypothesis testing, depiction had a nonsignificant effect on adherence intention and diet and exercise change, even though the 3-D computer-animated versions of the doctor (i.e., animation, swapped, and bigeye) were perceived as eerier than the others (i.e., real and cartoon). The low-warmth, high-eeriness doctor prompted heuristic processing of information, while the high-warmth doctor prompted systematic processing. This pattern contradicts evidence reported in the persuasion literature. For the stereotype content model, a path analysis found that good bedside manner increased the doctor’s perceived warmth significantly, which indirectly increased physical activity. For the heuristic–systematic model, the doctor’s eeriness, measured in a pretest, had no significant effect on adherence intention and physical activity, while good bedside manner increased both significantly. Surprisingly, cognitive perspective-taking was a stronger predictor of change in physical activity than adherence intention. Although virtual characters can elicit the uncanny valley effect, their effect on adherence intention and physical activity was comparable to a video of a real person. This finding supports the development of virtual consultations.

Initial Low Levels of Suicidal Ideation Still Improve After Cognitive Behavioral Therapy for Insomnia in Regular Psychiatric Care.

Insomnia disorder is highly prevalent, and has been identified as a risk factor for many psychiatric problems, including depression, suicide ideation and suicide death. Previous studies have found that cognitive behavioral therapy for insomnia (CBT-I) reduce depression and suicidal ideation in samples with high levels of suicidal ideation. This study aims to investigate associations of CBT-I with suicidal ideation in a sample of 522 patients primarily seeking internet-delivered treatment for insomnia in regular psychiatric care. The sample had high pretreatment insomnia severity levels and a relatively high level of comorbid depression symptoms. Suicidal ideation levels were relatively low pretreatment but still improved significantly after CBT-I. Contrary to previous findings, the strongest predictor of changes in suicidal ideation were improvements in depressive symptoms, rather than improvements in insomnia. We conclude that suicidal ideation may not be a major problem in these patients primarily seeking treatment for insomnia, despite comorbid depressive symptoms, but that suicidal ideation still improves following CBT-i. Considering the increased risk for patients with untreated insomnia to develop depression, this finding is of interest for prevention of suicidal ideation.

Woody species have stronger facilitative effects on soil biota than on plants along an aridity gradient

AbstractQuestionsWoody‐shrub encroachment affects community structure and composition. However, most studies focus on their effects on understorey plant communities, and the relative importance of shrubs in affecting plants vs soil biota communities is poorly known.LocationInner Mongolian Steppe, China.MethodsWe examined the effect of shrubs on multiple community attributes, including plants, soil biota (bacteria, fungi and nematodes), and soil fertility, and quantified how these effects changed from semi‐arid to hyperarid conditions (from 281 mm to 110 mm of mean annual precipitation). In addition, we assessed whether the effects of shrubs on plant communities were directly mediated by biotic filtering in seed germination and establishment, or indirectly mediated by plant biomass or soil fertility in the case of soil organisms.ResultsThe effect of shrubs on soil biota was generally more positive than on plants, and it increased with aridity. We found that a larger proportion of below‐ground taxa depended on shrub presence (36%) than plants (20%). Soil nematodes and soil bacteria were directly influenced by shrub presence whereas soil fungi were indirectly influenced by enhanced soil fertility. Shrubs also increased plant biomass under all conditions but only increased plant species richness in the most arid conditions. Despite the generally positive effect of shrubs, and the fact that they weakened the filtering effects of aridity on seed germination, aridity was a stronger predictor of changes in species composition than shrub presence was, particularly for plants.ConclusionsOur results illustrate the variety of positive effects of shrubs and show that they are particularly important in supporting biodiversity in the most arid conditions. These strong and positive effects could partially buffer the impacts of increasing aridity on dryland soil biodiversity, but our study suggests that facilitative interactions may not be able to completely mitigate the impacts of increasing aridity on drylands.

Does The Use of Ethyl Chloride Improve Patient-Reported Pain Scores With Negative Pressure Wound Therapy Dressing Changes? A Prospective, Randomized Controlled Trial.

Negative pressure wound therapy (NPWT) is commonly used for surgical incisions and large wounds, particularly in the context of trauma. Research has shown that patients report that the most painful aspect of NPWT is related to foam dressing changes. This study aimed to determine whether topical use of the vapocoolant anesthetic ethyl chloride would impact patient-reported pain during these procedures. This study was a single-blinded, placebo-controlled randomized trial in patients who were undergoing NPWT foam dressing change following surgery performed by the orthopedic trauma team. A total of 100 patients were randomized to receive ethyl chloride topical anesthetic spray or placebo (tissue culture grade water) during dressing change. The outcome measure specified prior to enrollment was a mean decrease in patient-reported pain of 1.7 points using a numeric rating scale. Baseline and procedural characteristics were collected to investigate contributions to patient-reported pain. We hypothesized that the use of ethyl chloride would decrease patient reported pain scores. Significantly more females were randomized to the receive vapocoolant; remaining baseline and procedural characteristics were similar between groups. The median time for NPWT drape removal was 2.0 minutes in both groups (p = 0.66). The postprocedural pain reported by patients was significantly lower in the experimental group compared with placebo (median, 5.0 vs. 7.0; p = 0.03). Multivariate analysis adjusting for potential confounders showed treatment group to be the strongest predictor of postprocedure pain (p = 0.002). Additionally, a generalized linear model suggests that treatment group was the strongest predictor of change in pain score as reported by patients prior to and immediately following dressing change. Use of vapocoolant spray during NPWT dressing change for orthopedic trauma wounds and surgical incisions was feasible and resulted in significant reduction in patient-reported pain associated with the procedure. Therapeutic, Level I.

Meeting psychosocial needs to improve health: a prospective cohort study

BackgroundCancer impacts on patients and their families across a range of different domains. For that reason, optimal cancer care has moved away from a disease-centric focus to a more holistic approach in order to proactively support people with their individual needs and concerns. While international policy clearly advocates this agenda, implementation into routine care is limited. Therefore, relevant interventions that measurably improve patient outcomes are essential to understand if this ideal is to become routine multidisciplinary practice. The aim of this study was to analyse the impact of a proactive, holistic, community-based intervention on health-related quality of life in a cohort of people diagnosed with cancer. Secondary aim was to explore the relationship between changes in health status and: cancer type, cancer stage, number of concerns expressed and change in severity of concerns pre and post intervention.MethodProspective observational cohort study. A convenience sample of 437 individuals were referred to the service ‘Improving the Cancer Journey (ICJ) in the UK. Each completed the Euroqol EQ-5D-3 L and visual analogue scale (VAS) and a Holistic Needs Assessment (HNA) during initial visit to the service and again at follow-up review, median 84 days later. Change between scores was tested with paired t-tests and relationships between variables with multiple regression models with heteroscedasticity-consistent standard errors.ResultsParticipants were White British with median age between 50 and 64 years. Cancer type and stage were varied. EQ-5D utility scores improved at follow-up by 0.121 [0.0891–0.153], p < .001, and VAS scores improved by 7.81 [5.88–9.74], p < .001. The strongest predictor of change was a decrease in severity of concerns. Cancer stage ‘palliative care’ contributed to a reduction in health status.ConclusionThis study is the first to show that a holistic community intervention dedicated to supporting the individual concerns of participants had both a statistically significant and clinically meaningful impact on participants’ health-related quality of life. The mean change in EQ-5D scores was more than the ‘minimally important clinical difference’ described in the literature. This is important because while quality of life has multiple determinants, this study has shown for the first time that it is possible to capture a clinically meaningful improvement as a function of reducing someone’s personally identified concerns.

Impact of a Mobile Phone App to Increase Vegetable Consumption and Variety in Adults: Large-Scale Community Cohort Study.

BackgroundLarge-scale initiatives to improve diet quality through increased vegetable consumption have had small to moderate success. Digital technologies have features that are appealing for health-related behavior change interventions.ObjectiveThis study aimed to describe the implementation and evaluation of a mobile phone app called VegEze, which aims to increase vegetable intake among Australian adults.MethodsTo capture the impact of this app in a real-world setting, the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework was utilized. An uncontrolled, quantitative cohort study was conducted, with evaluations after 21 and 90 days. The app was available in the Apple App Store and was accompanied by television, radio, and social media promotion. Evaluation surveys were embedded into the app using ResearchKit. The primary outcomes were vegetable intake (servings per day) and vegetable variety (types per day). Psychological variables (attitudes, intentions, self-efficacy, and action planning) and app usage were also assessed. Descriptive statistics and multiple linear regression were used to describe the impact of the app on vegetable intake and to determine the characteristics associated with the increased intake.ResultsData were available from 5062 participants who completed the baseline survey; 1224 participants completed the 21-day survey, and 273 completed the 90-day survey. The participants resided across Australia and were mostly women (4265/5062, 84.3%) with a mean age of 48.2 years (SD 14.1). The mean increase in intake was 0.48 servings, from 3.06 servings at baseline to 3.54 servings at the end of the 21-day challenge (t1223=8.71; P<.001). The variety of vegetables consumed also increased by 0.35 types per day (t1123=9.59; P<.001). No changes in intake and variety were found from day 21 to the 90-day follow-up. Participants with the highest app usage increased their vegetable intake by 0.63 (SD 2.02) servings per day compared with 0.32 (SD 1.69) servings per day for those with the lowest app usage. On the basis of multiple linear regression, gender; age; BMI; psychological variables of self-efficacy, attitudes, intentions, and action planning specific to vegetable intake; baseline vegetable intake; and active days of app usage accounted for 23.3% of the variance associated with the change in intake (F9,1208=42.09; P<.001). Baseline vegetable intake was the strongest predictor of change in intake (beta=−.495; P<.001), with lower baseline intake associated with a greater change in intake. Self-efficacy (beta=.116; P<.001), action planning (beta=.066; P=.02), BMI (beta=.070; P=.01), and app usage (beta=.081; P=.002) were all significant predictors of the change in intake.ConclusionsThe VegEze app was able to increase intake by half a serving in a large sample of Australian adults. Testing the app in a real-world setting and embedding the consent process allowed for greater reach and an efficient, robust evaluation. Further work to improve engagement is warranted.

Subthalamic neuromodulation improves short-term motor learning in Parkinson’s disease

The basal ganglia and cerebellum are implicated in both motor learning and Parkinson's disease. Deep brain stimulation (DBS) is an established treatment for advanced Parkinson's disease that leads to motor and non-motor effects by modulating specific neural pathways. Recently, a disynaptic projection from the subthalamic nucleus (STN) to cerebellar hemispheres was discovered. To investigate the functional significance of this pathway in motor learning, short-term improvement in motor execution in 20 patients with Parkinson's disease on and off STN-DBS and 20 age-matched healthy controls was studied in a visuomotor task combined with whole-brain connectomics. Motor learning was impaired in Parkinson's disease off stimulation but was partially restored through DBS. Connectivity between active DBS contacts and a distributed network of brain regions correlated with improvement in motor learning. Region of interest analysis revealed connectivity from active contact to cerebellar hemisphere ipsilateral to hand movement as the strongest predictor for change in motor learning. Peak predictive voxels in the cerebellum localized to Crus II of lobule VII, which also showed higher STN than motor cortex connectivity, suggestive of a connection surpassing motor cortex. Our findings provide new insight into the circuit nature of Parkinson's disease and the distributed network effects of DBS in motor learning.

Associations between identity processes and success in developmental tasks during the transition from emerging to young adulthood

ABSTRACTLittle is yet known of how personal identity processes of exploration and commitment develop beyond adolescence and how they interact with developmental tasks of young adulthood. Employing the DIDS (The Dimensions of Identity Development Scale; commitment making, identification with commitment, exploration in breadth, exploration in depth and ruminative exploration) in a longitudinal sample of Finnish young adults (measurement at age 24 and 29; N = 854, 63% women), the results of this study suggested 1) that identity commitment and exploration levels, in general, decrease over time, 2) that success in developmental tasks but not sex moderate this development, and 3) that among developmental tasks, parenthood is the strongest predictor of changes in identity processes over time. The results support a view of personal identity as a dynamic process moderated by contextual factors beyond adolescence and have practical implications for social security provision in an increasingly precarious labour market. Political decisions that support young adults’ trust in the future and a sense of continuity by strengthening different forms of social security are called for. A debate on values related to success is also needed to lessen the emotional costs of uncertainty.

A Modified Change Vector Approach for Quantifying Land Cover Change

This paper develops and applies a novel method for inferring land cover/land use (LCLU) change that combines direct multi-date classification with measures from a change vector analysis. The model predicts change directly rather than the land cover at either time, although these could be inferred. Unsupervised classifications of bi-temporal imagery were manually labeled and used to generate reference data for class-to-class changes. These were used to train a Random Forest model with inputs from the bi-temporal image bands and change vector measures (change vector direction, angle and the spectral angle) and used to generate a predicted surface of land cover change for a case study in the Pearl River Delta, China. The overall accuracy of LCLU change prediction was 96% and specific class-to-class changes had errors rates of 0–12.8%. Some errors were related the semi-automated labeling of the training data. The spectral angle variables and Near Infra-Red image bands for both years were found to be strong predictors of change. Odd ratios were used to quantify regional differences in land cover change rates in urban and peri-urban areas. The regional differences and origins of the observed errors are discussed, along with some areas of further work. The key contributions of this paper are the focus on change rather than LCLU through the construction of a model to predict changes directly and the development of an approach that provides quick, effective and informative analysis of LCLU change in support of policy and planning in rapidly urbanizing areas.

Factors explaining variation in self-esteem among persons with type 1 diabetes and elevated HbA1c.

ObjectivesTo investigate associations between perceived autonomy support from health-care professionals, autonomy-driven motivation, diabetes self-perceived competence and self-esteem in adults (age 18–55 yrs) with suboptimally regulated type 1 diabetes mellitus (T1DM) with at least one HbA1c≥8.0% (≥64 mmol/mol) during the past year, and whether these factors could predict decrease in self-esteem over time.MethodsA cross-sectional population-based survey was performed, and 9 months follow-up data were collected. Data collection comprised clinical and socio-demographic variables, blood sampling (HbA1c) and self-report questionnaires; the Health Care Climate Questionnaire (HCCQ), Treatment Self-Regulation Questionnaire (TSRQ), the Perceived Competence in Diabetes Scale (PCDS), and the Rosenberg Self-esteem Scale (RSES). We fitted block-wise linear regression models to assess associations between RSES and variables of interest (HCCQ, TSRQ, PCDS, HbA1c, clinical and socio-demographic variables) and linear regression models to assess predictors of change over time.FindingsIn this study sample, aged 36.7 (±10.7) mean HbA1c 9.3% (±1.1), 31.5% had long-term complications and 42.7% had experienced severe hypoglycemia within the previous 12 months. In the final regression model the association between PCDS and RSES was strongly significant (B = 1.99, p<0.001) and the associations between HCCQ, TSRQ and RSES were reduced to non-significance. All predictor variables combined explained 42% of the variability of RSES (adjusted R2 = 0.423) with PCDS contributing 18% to explained variance (R-square change = 0.184, p<0.001). The strongest predictors of change in RSES over time were long-term complications (B = 2.76, p<0.001), specifically foot-related problems, and being female (B = -2.16, p = 0.002).ConclusionsPerceived autonomy support, autonomy-driven motivation and diabetes self-perceived competence play a significant role in explaining self-esteem among adults with suboptimally regulated T1DM. Healthcare professionals should acknowledge self-esteem as a valuable factor in understanding the multifaceted health choices people with T1DM make.Trial registrationClinical Trials.gov with identification number NCT 01317459.

Against all odds - is a more differentiated view of personality development in emerging adulthood needed? The case of young apprentices.

Personality development in emerging adults who do not attend college after high school has been largely overlooked so far. In this study, we investigated personality development in emerging German adults (NT 1 =1,886, MageT1 =18.01years, 29% female) undergoing vocational education and training (VET). The trainees were assessed at the start of VET, 1.5years later, and another 1.5years after that, just before graduation. Longitudinal latent change score analyses were applied. Bivariate analyses investigated life satisfaction and job strain as social and work-related aspects that are potentially reciprocally related to personality development. Mean-level personality changes included increases in neuroticism and decreases in agreeableness and conscientiousness in the first interval. In the second interval, neuroticism decreased and conscientiousness increased. Simultaneously, trainees reported a gradual decrease in extraversion and openness across the 3-year time span. Personality, especially agreeableness and conscientiousness, emerged as a stronger predictor of changes in job strain and life satisfaction than vice versa. For example, more agreeable and more conscientious trainees subsequently showed increases in life satisfaction. Trainees reporting higher job strain subsequently showed decreases in agreeableness. Trajectories of personality development partly support the maturity principle that has been established in many college student samples.

Using tweets to understand changes in the spatial crime distribution for hockey events in Vancouver.

The use of social media data for the spatial analysis of crime patterns during social events has proven to be instructive. This study analyzes the geography of crime considering hockey game days, criminal behaviour, and Twitter activity. Specifically, we consider the relationship between geolocated crime‐related Twitter activity and crime. We analyze six property crime types that are aggregated to the dissemination area base unit in Vancouver, for two hockey seasons through a game and non‐game temporal resolution. Using the same method, geolocated Twitter messages and environmental variables are aggregated to dissemination areas. We employ spatial clustering, dictionary‐based mining for tweets, spatial autocorrelation, and global and local regression models (spatial lag and geographically weighted regression). Findings show an important influence of Twitter data for theft‐from‐vehicle and mischief, mostly on hockey game days. Relationships from the geographically weighted regression models indicate that tweets are a valuable independent variable that can be used in explaining and understanding crime patterns.

Predictors of activity limitation in people with gout: a prospective study.

The objective of the study was to determine clinical factors associated with activity limitation and predictors of a change in activity limitation after 1year in people with gout. Two hundred ninety-five participants with gout (disease duration < 10years) attended a baseline assessment which included medical and disease-specific history, pain visual analog score and plain radiographs scored for erosion and narrowing. Activity limitation was assessed using the Health Assessment Questionnaire-II (HAQ-II). After 1year, participants were invited to complete a further HAQ-II; follow-up questionnaires were available for 182 participants. Fully saturated and stepwise regression analyses were used to determine associations between baseline characteristics and HAQ-II at baseline and 1year, and to determine predictors of worsening HAQ-II in those with normal baseline scores. Median (range) baseline HAQ-II was 0.20 (0-2.50) and 0.20 (0-2.80) after 1year of follow-up. Pain score was the strongest independent predictor of baseline HAQ-II, followed by radiographic narrowing score, type 2 diabetes, swollen joint count, BMI, age and urate (model R2 = 0.51, P < 0.001). Baseline HAQ-II was the strongest predictor of change in HAQ-II at 1year, followed by tender joint count (model R2 = 0.19, P < 0.001). Of those with HAQ-II scores of 0 at baseline (n = 59, 32% of those with follow-up data), most did not progress (n = 52, 88%); however, baseline pain score, type 2 diabetes and flare frequency were significant predictors of worsening HAQ-II in this group (R2 = 0.34, P < 0.001). People with gout experience a wide range of activity limitation, and levels of activity limitation are, on average, stable over a 1-year period. Baseline pain scores are strongly associated with activity limitation and predict development of activity limitation in those with normal HAQ-II scores at baseline.