Acting means changing the environment according to one\'s own goals, and this often requires bodily movements as responses. How these responses are selected is a central question in contemporary cognitive psychology. The ideomotor principle offers a simple answer based on two assumptions: An agent first learns an association between a response and its effects. Later, this association can be used in a reverse way: when the agent wants to achieve a desired effect and activates its representation, the associated response representation becomes activated as well. This reversed use of the learned association is considered the means to select the required response. In three experiments we addressed two questions related to the first assumption: First, we tested whether effect representations generalize to more abstract conceptual knowledge. This is important, because outside the laboratory and in novel situations, effects are variable and not always exactly identical, such that generalization is necessary for successful actions. Second, the nature of the response-effect relation has been debated recently, and more data are necessary to put theorizing on firm empirical ground. Results of our experiments suggest that (a) abstraction to conceptual knowledge seems to occur only under very restricted situations, and (b) it seems that no (implicit) associations between responses and effects are learned, but rather (explicit) propositional knowledge in the form of rules.

BACKGROUND: Internet gaming disorder among university students has become a great concern for university counsellors worldwide since the COVID-19 pandemic. The factors influencing the development of internet gaming disorder in students during the COVID-19 pandemic could be different from those before the pandemic.
OBJECTIVE: This study aims to explore the associations among social isolation, self-control, and internet gaming disorder in Chinese university students and to examine whether self-control mediates the positive effects of social isolation on internet gaming disorder.
METHODS: A cross-sectional survey was employed to collect data from university students in Shandong province of China from April to September 2022. The Isolation subscale of the Self-Compassion Scale, Self-Control Scale, and Internet Gaming Disorder Scale were used to assess the social isolation, self-control, and internet gaming disorder among university students, respectively. Models 4 and 5 of PROCESS software were used to analyze the mediating role of self-control and the moderating role of gender on the association between social isolation and internet gaming disorder.
RESULTS: A total of 479 students were recruited from 6 universities located in 3 different regions of Shandong, China. Students had low levels of internet gaming disorder and moderate levels of social isolation and self-control, with mean scores of 8.94 (SD 9.06), 12.04 (SD 3.53), and 57.15 (SD 8.44), respectively. Social isolation was positively correlated with internet gaming disorder (r=0.217; P<.001), and self-control was negatively correlated with social isolation (r=-0.355; P<.001) and internet gaming disorder (r=-0.260; P<.001). Self-control played a mediating role in the association between social isolation and internet gaming disorder (β=-.185, 95% CI -.295 to -.087). The effects of social isolation on internet gaming disorder among female students were lower than those among male students.
CONCLUSIONS: Self-control was a mediator in the association between social isolation and internet gaming disorder. Moreover, gender played a moderating role in the association between social isolation and internet gaming disorder. This study highlights the need to alleviate the development of internet gaming disorder among students during a pandemic, especially that of male students. Effective interventions that lessen social isolation and promote self-control should be developed.

UNASSIGNED: Drug users are a high-risk group for HIV infection and are prominent HIV carriers. Given the emergence of new drugs, we explored current drug-using behaviors, HIV infections, and the correlation between drug-using behaviors and HIV infection risk among drug users from 2014 to 2021.
UNASSIGNED: We aimed to identify the prevalence of HIV infection risk among drug users and explore drug use behaviors based on the updated data, which could provide evidence for the precision of HIV prevention strategies among drug users.
UNASSIGNED: Data were collected from sentinel surveillance of drug users in rehabilitation centers and communities in Hangzhou (2014-2021), including sociodemographic characteristics, HIV awareness, drug use, risky sexual behaviors, and HIV infection status. Multivariate logistic regression was used to identify the factors influencing HIV infection and risky sexual behaviors among drug users.
UNASSIGNED: In total, 5623 drug users (male: n=4734, 84.19%; age: mean 38.38, SD 9.94 years) were included. New drugs dominated among the participants (n=3674, 65.34%). The main mode of drug use was noninjection (n=4756, 84.58%). Overall, for 27.45% (n=1544) of injected drugs in the last month before the investigation, the average daily injection frequency was 3.10 (SD 8.24). Meanwhile, 3.43% of participants shared needles. The incidence of sexual behaviors after drug use was 33.13% (n=1863), with 35.75% (n=666) of them using a condom in the last time. Overall, 116 participants tested positive for HIV antibodies (infection rate=2.06%). New drug users exhibited more postuse sexual behaviors than traditional drug users (odds ratio [OR] 7.771, 95% CI 6.126-9.856; P<.001). HIV-aware drug users were more likely to engage in risky sexual behaviors (OR 1.624, 95% CI 1.152-2.291; P=.006). New-type drug users were more likely to engage in unprotected sexual behavior (OR 1.457, 95% CI 1.055-2.011; P=.02). Paradoxically, drug users with greater HIV awareness were more prone to engaging in unprotected sexual behavior (OR 5.820, 95% CI 4.650-7.284; P<.001). Women engaged less in unprotected sex than men (OR 0.356, 95% CI 0.190-0.665; P=.001). HIV rates were higher among injecting drug users (OR 2.692, 95% CI 0.995-7.287; P=.04) and lower among drug users who used condoms during recent sex than those who did not (OR 0.202, 95% CI 0.076-0.537; P=.001). Higher education levels were associated with higher HIV infection rates. However, there was no significant correlation between HIV cognition level and HIV infection.
UNASSIGNED: New drug types and noninjection were the main patterns in last 7 years. Using new types of drugs, rather than traditional drugs, was associated with an increased risk of HIV infection. Injection drug use was a risk factor for HIV infection. HIV awareness among drug users was high, but the incidence of risky sexual behaviors remained high. Therefore, it is important to promote the behavioral transformation of high-risk populations from cognition to attitude, and then to taking protective measures.

Osteoporosis (OP) is a common metabolic bone disease characterized by low bone mass and microstructural deterioration of bone. Changes in the composition and structure of gut microbiota (GM) are related to changes of bone mass and bone microstructure. However, the relationship between GM and bone mineral density (BMD) is complex, and data are especially scarce for Chinese Han youth. Therefore, 62 Chinese Han youth participants were recruited. Furthermore, according to the T-score evaluation criteria of the World Health Organization (WHO), we divided the BMD levels of participants into three groups: osteoporosis\\BDL, osteopenia\\BDM, normal bone density\\BDH, and the associations between GM community and BMD groups were conducted. According to alpha and beta diversity analysis, significant differences were found in the microbial richness and composition between groups. The dominant phyla of GM in a cohort of Chinese Han youth were Bacteroidota (50.6%) and Firmicutes (41.6%). Anaerobic microorganisms, such as g_Faecalibacterium and g_Megamonas, account for the largest proportion in the gut, which were mainly Firmicutes phylum. The dominant genera and species in the three BMD groups were g_Prevotella, g_Bacteroides, g_Faecalibacterium, g_Megamonas, s_Prevotella copri, s_unclassified_g_Faecalibacterium, s_unclassified_g_Prevotella, s_unclassified_g_Bacteroides and s_Bacteroides plebeius. g_Faecalibacterium, g_Bacteroides and g_Ruminococcus differed between the BDH and BDL groups as well as between the BDH and BDM groups. LEfSe showed three genus communities and eight species communities were enriched in the three BMD groups, respectively. The associations between microbial relative abundance and T-score was not statistically significant by Spearman and regression analysis. In conclusion, the alpha diversity indexes in the BDH group were higher than in the BDL group, and several taxa were identified that may be the targets for diagnosis and therapy of OP.

In this study, based on a cross-sectional study among 9597 preschoolers in Shandong of China, we quantitatively evaluated influences of lifestyle behaviors and air treatment equipment on indoor damp exposures and thus on risks of childhood pneumonia. In the two-level multivariate logistic regression analyses, childhood pneumonia was significantly associated with parent-reported damp clothing/bedding and visible mold spots or damp stains. These associations were weaker among preschoolers from families who frequently opened the child\'s bedroom windows, frequently cleaned the child\'s bedroom, and frequently exposed beddings to sunshine (references: not frequently), as well as among preschoolers without usage of air humidifier and air conditioner and with usage of air purifier. Our results indicate that frequently keeping household ventilation and cleanness, and exposing beddings to sunshine, as well using air purifier could decrease the effects of household damp-related exposures on childhood pneumonia, but using air humidifier and air conditioner could increase the effects.

UNASSIGNED: Research exploring factors that may influence the diet quality of adolescents in the Middle East are very limited. We aimed to investigate factors associated with diet quality and the weight status of adolescents in Saudi Arabia.
UNASSIGNED: A cross-sectional study that included 638 healthy adolescents aged between 11 and 18 years who were randomly recruited from 16 private and public middle- and high-schools located in two Saudi cities (Jeddah and Madinah). All participants were given an envelope for parents to collect socioeconomic data. Diet quality and anthropometric data of adolescents were evaluated at school.
UNASSIGNED: Median diet quality score was higher among males compared to female adolescents (10.00 (8.00-11.00) vs. 9.00 (8.00-10.0), respectively, p = 0.018). Median diet quality score was significantly higher among adolescents residing in Jeddah compared to adolescents residing in Madinah (10.00 (9.00-11.0) vs. 9.00 (8.00-10.0), respectively, p = 0.002). Stepwise linear regression analysis indicated that city of residence (B = -0.53, SE = 0.16 [95% CI: -0.83 to -0.22]), and child\'s sex (B = -0.34, SE = 0.15 [95% CI: -0.64 to -0.05]) were associated with diet quality scores of adolescents in Saudi Arabia.
UNASSIGNED: Future longitudinal research should be directed to further investigate other possible factors influencing the diet quality of adolescents and individuals from other age groups in Saudi Arabia.

Circular RNAs (circRNAs) are endogenous non-coding RNAs with a covalently closed loop structure. They have many biological functions, mainly regulatory ones. They have been proven to modulate protein-coding genes in the human genome. CircRNAs are linked to various diseases like Alzheimer\'s disease, diabetes, atherosclerosis, Parkinson\'s disease and cancer. Identifying the associations between circular RNAs and diseases is essential for disease diagnosis, prevention, and treatment. The proposed model, based on the variational autoencoder and genetic algorithm circular RNA disease association (VAGA-CDA), predicts novel circRNA-disease associations. First, the experimentally verified circRNA-disease associations are augmented with the synthetic minority oversampling technique (SMOTE) and regenerated using a variational autoencoder, and feature selection is applied to these vectors by a genetic algorithm (GA). The variational autoencoder effectively extracts features from the augmented samples. The optimized feature selection of the genetic algorithm effectively carried out dimensionality reduction. The sophisticated feature vectors extracted are then given to a Random Forest classifier to predict new circRNA-disease associations. The proposed model yields an AUC value of 0.9644 and 0.9628 under 5-fold and 10-fold cross-validations, respectively. The results of the case studies indicate the robustness of the proposed model.

BACKGROUND: Schizophrenia is a severe mental illness that greatly impacts the real-world functioning of patients. In India, caregivers are primarily responsible for their patients and function as their support system, often taking treatment decisions on their behalf. However, they may have insufficient knowledge of the illness, which can have a negative impact on their roles as effective caregivers. The knowledge of schizophrenia and its associations among caregivers has received very little research attention.
OBJECTIVE: To examine the knowledge of mental illness and its socio-demographic and psychosocial associations among caregivers of patients with schizophrenia. The objectives were to assess the knowledge of mental illness and its treatment in caregivers of patients with schizophrenia, to assess the socio-demographic and clinical associations of this knowledge, and to assess the caregivers\' psychosocial variables associated with this knowledge.
METHODS: This cross-sectional observational data was taken from a larger study carried out between August 2018 and January 2021 at an urban tertiary care hospital in the capital city of India. One hundred fifty-eight patients with schizophrenia and their caregivers (n=158) were taken using purposive sampling. Knowledge of Mental Illness Scale was used to evaluate the knowledge and understanding of the illness and its treatment among caregivers. Caregivers coming to this institution in New Delhi were also assessed with respect to their demographic variables, caregiving experience, family functioning, coping strategies, available social support, psychological distress, quality of life, and spiritual, religious, and personal beliefs. The assessment also included demographic and clinical variables of the patients.
RESULTS: Caregivers possessed relatively greater knowledge regarding the medication being taken (52.5%), its side effects (38%), and the diagnosis (36.1%). However, their knowledge was poorer with respect to the meaning and implications of the diagnosis (21.5%) and the purpose of the medication (10.1%). In multivariate regression analysis of these five domains with socio-demographic, clinical, and psychosocial variables; the knowledge of the diagnosis was associated with a family history of psychiatric illness in a second-degree relative, the total duration of treatment, and stigma in caregivers. The meaning of the diagnosis was associated with the environmental domain of quality of life and positive symptoms of the patient. Knowledge of medication was associated with the number of patient hospitalizations, caregivers supervising medications, caregiver age, and the total duration of illness. Knowledge of the purpose of medication was associated with the total duration of illness and patient positive symptoms. Knowledge of medication side effects was associated with the roles domain of family functioning, positive caregiving experience, patient negative symptoms, and the acceptance/redefinition domain of coping.
CONCLUSIONS: A range of associations were examined in this study. Correct knowledge of schizophrenia is necessary to promote timely help-seeking, preventing a longer duration of untreated psychosis and a poor prognosis. In research, knowledge of illness is a construct with immense potential applicability. In patient care, this knowledge may help caregivers participate in treatment planning, improve patient functioning, and support their patients toward better functional outcomes.

Background/Objectives: Arthritis is a chronic, debilitating condition affecting millions of United States (US) adults. Regular physical exercise is particularly important for adults with arthritis. This study aimed to investigate the characteristics associated with regular physical exercise in US adults with arthritis. Methods: This cross-sectional database study used 2021 Medical Expenditure Panel Survey data and included US adults (age ≥ 18) alive with arthritis. A multivariable logistic regression model was developed to test the association of the following variables with regular physical exercise (defined as moderate-vigorous intensity exercise for ≥30 min ≥5 times weekly; yes, no): age, sex, Hispanic, race, census region, marriage status, schooling, employment, health insurance, household income, mental health, general health, smoking status, chronic conditions, pain, and functional limitations. Results: Overall, 5091 people (regular physical exercise n = 2331, no regular physical exercise n = 2760) were involved in this analysis. Most were female, non-Hispanic, white, married, had schooling beyond high school, were unemployed, had private health insurance, had mid-high household income, had good mental health, had good general health, were non-smokers, had two or more chronic conditions, had little/moderate pain, and did not have a functional limitation. In multivariable logistic regression analysis, male vs. female sex (odds ratio [OR] = 1.440, 95% confidence interval [CI] = 1.185-1.749), employed vs. unemployed (OR = 1.277, 95% CI = 1.005-1.624), good vs. poor general health (OR = 2.174, 95% CI = 1.673-2.824), little/moderate vs. quite a bit/extreme pain (OR = 1.418, 95% CI = 1.109-1.818), and no functional limitation (OR = 1.592, 95% CI = 1.282-1.980) were associated with higher odds of reporting regular physical exercise, while Midwest vs. West census region (OR = 0.698, 95% CI = 0.521-0.935) was associated with lower odds of reporting regular physical exercise. Conclusions: This study identified variables associated with regular physical exercise among US adults with arthritis. Further work is needed to develop interventions for characteristics that may help increase exercise and, subsequently, health outcomes in this population.

BACKGROUND: This study demonstrates that digital maturity contributes to strengthened quality and safety performance outcomes in US hospitals. Advanced digital maturity is associated with more digitally enabled work environments with automated flow of data across information systems to enable clinicians and leaders to track quality and safety outcomes. This research illustrates that an advanced digitally enabled workforce is associated with strong safety leadership and culture and better patient health and safety outcomes.
OBJECTIVE: This study aimed to examine the relationship between digital maturity and quality and safety outcomes in US hospitals.
METHODS: The data sources were hospital safety letter grades as well as quality and safety scores on a continuous scale published by The Leapfrog Group. We used the digital maturity level (measured using the Electronic Medical Record Assessment Model [EMRAM]) of 1026 US hospitals. This was a cross-sectional, observational study. Logistic, linear, and Tweedie regression analyses were used to explore the relationships among The Leapfrog Group\'s Hospital Safety Grades, individual Leapfrog safety scores, and digital maturity levels classified as advanced or fully developed digital maturity (EMRAM levels 6 and 7) or underdeveloped maturity (EMRAM level 0). Digital maturity was a predictor while controlling for hospital characteristics including teaching status, urban or rural location, hospital size measured by number of beds, whether the hospital was a referral center, and type of hospital ownership as confounding variables. Hospitals were divided into the following 2 groups to compare safety and quality outcomes: hospitals that were digitally advanced and hospitals with underdeveloped digital maturity. Data from The Leapfrog Group\'s Hospital Safety Grades report published in spring 2019 were matched to the hospitals with completed EMRAM assessments in 2019. Hospital characteristics such as number of hospital beds were obtained from the CMS database.
RESULTS: The results revealed that the odds of achieving a higher Leapfrog Group Hospital Safety Grade was statistically significantly higher, by 3.25 times, for hospitals with advanced digital maturity (EMRAM maturity of 6 or 7; odds ratio 3.25, 95% CI 2.33-4.55).
CONCLUSIONS: Hospitals with advanced digital maturity had statistically significantly reduced infection rates, reduced adverse events, and improved surgical safety outcomes. The study findings suggest a significant difference in quality and safety outcomes among hospitals with advanced digital maturity compared with hospitals with underdeveloped digital maturity.