OBJECTIVE: This study aimed to translate the Smartphone Addiction Scale-Short Version (SAS-SV) into Chinese and evaluate the psychometric characteristics of the Smartphone Addiction Scale- Chinese Short version (SAS-CSV) among Chinese college students.
METHODS: The SAS-SV was translated into Chinese using the forward-backward method. The SAS-CSV was completed by 557 Chinese college students (sample 1: n = 279; sample 2: n = 278). 62 college students were randomly selected from the 557 Chinese college students to be meas- ured twice, with an interval of two weeks. The reliability of the SAS-CSV was evaluated by internal consistency reliability and test-retest reliability, and the validity of the SAS-CSV was evaluated by content validity, structural validity, convergent validity, and discriminant validity.
RESULTS: The SAS-CSV presented good content validity, high internal consistency (sample 1: α = 0.829; sample 2: α = 0.881), and good test-retest reliability (ICC: 0.975; 95% CI: 0.966-0.985). After one exploratory factor analysis, three components (tolerance, withdrawal, and negative effect) with eigenvalues greater than 1 were obtained, and the cumulative variance contribution was 50.995%. The results of confirmatory factor analysis indicated that all the fit indexes reached the standard of good model fit (χ2/df = 1.883, RMSEA = 0.056, NFI = 0.954, RFI = 0.935, IFI = 0.978, TLI = 0.969, CFI = 0.978). The SAS-CSV presented good convergent validity for the factor loading of all the items ranged from 0.626 to 0.892 (higher than 0.50), the three latent variables' AVE ranged from 0.524 to 0.637 (higher than 0.50), and the three latent variables' CR ranged from 0.813 to 0.838 (higher than 0.70). Moreover, the square roots of the AVE of component 1 (tolerance), component 2 (withdrawal) and component 3 (negative effect) were 0.724, 0.778, and 0.798, respectively, higher than they were with other correlation coefficients, indicating that the SAS-CSV had good discrimination validity.
CONCLUSION: The SAS-CSV is a valid instrument for measuring smartphone addiction among Chinese college students.
METHODS: The present study examined the relationship between meaning in life, school adjustment, and smartphone addiction among Chinese female college students using a moderated mediation model in which school adjustment played a mediating role and grade played a moderating role. A total of 1,076 Chinese female college students (Age: 19.83 ± 1.11; 369 freshmen, 379 sophomores, and 328 juniors) completed an online questionnaire regarding meaning in life, school adjustment, and smartphone addiction.
RESULTS: (1) School adjustment mediated the relationship between meaning in life and smartphone addiction. (2) School adjustment had a partial mediating effect between meaning in life and smartphone addiction for female freshmen and sophomores, but it did not exist among female juniors. (3) The influence of school adjustment on female sophomores' smartphone addiction was significantly stronger than that of female freshmen.
CONCLUSION: The findings of this study advance our understanding of the potential impacts of meaning in life on smartphone addiction and provide a grade perspective for targeted prevention or intervention with female college students' smartphone addiction.
METHOD: This systematic review used the preferred reporting items of Systematic Reviews and Meta-Analyses (PRISMA). We conducted a systematic review of randomized controlled and quasi-experimental studies published from the establishment of the database to October 2022. Marital self-disclosure interventions were conducted with both cancer patients and their spouses. Studies published in a language other than English or Chinese, and studies below a quality grade of C were excluded. Data were extracted through a standardized data collection form, and two reviewers independently extracted and evaluated the data. The quality of the included studies was assessed using the Cochrane Handbook of Systematic Reviews of Interventions, and a third reviewer adjudicated in case of disagreement. The data were synthesized by vote counting based on direction of effect according to the Synthesis Without Meta-analysis (SWiM) reporting guideline.
RESULTS: Thirteen studies were included in the review. Based on quality evaluation, three studies were categorized as grade A (good), and ten studies were grade B (moderate). Seven studies reported moderate rates of participant refusal and attrition. The structure and topics of marital self-disclosure varied across different studies. The five studies had various prespecified disclosure topics, such as fear of cancer recurrence, benefit finding, and emotional distress. The overall results suggest that marital self-disclosure interventions can improve physical and psychological health, enhance marital relationships, and increase self-disclosure ability.
CONCLUSION: The limited number of studies, small sample sizes, diverse intervention strategies, and methodological heterogeneity weakened the evidence base for the effectiveness of marital self-disclosure interventions. Therefore, further high-quality randomized controlled trials (RCTs) are recommended to confirm the effectiveness of such interventions. These studies should also evaluate the interventions' long-term impact, analyze optional topics and methods, identify key features, and explore the development of the best intervention program.
METHODS: The BDNF target sequence was detected on a capture probe attached on aluminum microcomb electrodes on the silicon wafer surface. A capture-target-reporter sandwich-type assay was performed to enhance the detection of the BDNF target.
RESULTS: The limit of detection was noticed to be 100 aM. Input of a reporter sequence at concentrations >10 aM improved the detection of the target sequence by enhancing changes in the generated currents. Control experiments with noncomplementary and single- and triple-mismatches of target and reporter sequences did not elicit changes in current levels, indicating the selective detection of the BDNF gene sequence.
CONCLUSION: The above detection strategy will be useful for the detection and quantification of BDNF, thereby aiding in the provision of suitable treatments for BDNF-related disorders.
METHODS: The present study constructed a three-wave cross-lag panel model to explore the relationships between MIL and college students' SA. Three waves of data were collected from 705 college students (male: 338; female: 367) in China for three consecutive years, and the interval of data collection was 1 year. These college students completed the same online questionnaire regarding MIL and SA.
RESULTS: (1) The MIL of male college students was significantly stronger than that of female college students at time 1, time 2, and time 3, (2) Female college students' SA at time 1, time 2, and time 3 was more serious than that of male college students, (3) There were reciprocal relationships between MIL and college students' SA, (4) The influence of MIL on female college students' SA was significantly stronger than that of male college students, and (5) The influence of SA on female college students' MIL was significantly stronger than that of male college students.
CONCLUSION: This study showed reciprocal relationships between MIL and SA among male college students and female college students. The findings further deepen our understanding of the relationship between MIL and SA and provide a gender perspective for preventing or intervening with college students' SA.
METHODS: NPC patients were recruited in this cross-sectional study, and they were divided into well-nourished and malnourished groups according to the Global Leadership Initiative on Malnutrition (GLIM). Potential risk factors were initially screened using univariate analysis (p
METHODS: We obtained information on medication use and cancer diagnosis from National Health and Nutrition Examination Survey participants. After propensity score matching, we conducted survey-weighted multivariate logistic regression and restricted cubic spline analysis to assess the observed correlation between medication use and cancer while adjusting for multiple covariates. We also performed MR analysis to investigate causality based on summary data from genome-wide association studies on medication use and cancers. We performed sensitivity analyses, replication analysis, genetic correlation analysis, and reverse MR analysis to improve the reliability of MR findings.
RESULTS: We found that the use of agents acting on the renin-angiotensin system was associated with reduced risk of prostate cancer (odds ratio (OR) = 0.42; 95% confidence interval (CI) = 0.27-0.63, P