Xiaogang Zhou

Dr. Xiaogang Zhou


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 April 2023 in Frontiers in Physiology
Verified
Journal Article
Open access
TSTianyi Shao
Tianyi Shao
XZXiaogang Zhou
Xiaogang Zhou
Physical activity habits are crucial for the physical and mental wellbeing of adolescents (individuals aged 10–19 years). However, few studies over the last two decades have systematically aggregated the influential factors of physical activity habits for adolescents. Five online databases (EBSCOhost (Eric), Psychology and Behavioral Sciences Collection, PubMed, Scopus, Web of Science) were searched for relevant studies published before 14 August 2022. Our systematic review indicated the following: 1) boys performed more physical activity habits than girls, whereas girls preferred to engage in moderate-to-vigorous physical activity; 2) physical activity in adolescents decreased with age; 3) African American adolescents performed significantly more habitual physical activities than white adolescents; 4) adolescents with higher literacy had better physical activity habits; 5) support from parents, teachers, friends, and others helped adolescents in developing physical activity habits; 6) adolescents who spent less time participating in habitual physical activity had a higher body mass index; 7) adolescents who reported higher levels of self-efficacy and satisfaction with school sports tended to have stronger physical activity habits; 8) sedentary behavior, smoking, drinking, prolonged screen time, negative emotions, and excessive use of media technology were correlated with reduced habitual physical activity in adolescents. These findings could help develop interventions to motivate adolescents and promote physical activity habits among them.

Sanying PengSanying Peng
Sanying Peng
FYFang Yuan
Fang Yuan
AOAhmad Tajuddin Othman
Ahmad Tajuddin Othman
XZXiaogang Zhou
Xiaogang Zhou
GSGang Shen
Gang Shen
JLJinghong Liang
Jinghong Liang
Insufficient physical activity (PA) and excessive sedentary behavior (SB) are detrimental to physical and mental health. This systematic review and meta-analysis aimed to identify whether e-health interventions are effective for improving PA and SB in college students. Five electronic databases, including Medline, Web of Science, Embase, Cochrane Library, and ProQuest, were searched to collect relevant randomized controlled trials up to 22 June 2022. In total, 22 trials (including 31 effects) with 8333 samples were included in this meta-analysis. The results showed that e-health interventions significantly improved PA at post-intervention (SMD = 0.32, 95% CI: 0.19, 0.45, p < 0.001) compared with the control group, especially for total PA (SMD = 0.34, 95% CI: 0.10, 0.58, p = 0.005), moderate to vigorous PA (SMD = 0.17, 95% CI: 0.01, 0.32, p = 0.036), and steps (SMD = 0.75, 95% CI: 0.23, 1.28, p < 0.001. There were no significant effects for both PA at follow-up (SMD = 0.24, 95% CI: – 0.01, 0.49, p = 0.057) and SB (MD = −29.11, 95% CI: −70.55, 12.32, p = 0.17). The findings of subgroup analyses indicated that compared to the control group, interventions in the group of general participants (SMD = 0.45, 95% CI: 0.27, 0.63, p < 0.001), smartphone apps (SMD = 0.46, 95% CI: 0.19, 0.73, p = 0.001), and online (SMD = 0.23, 95% CI: 0.04, 0.43, p < 0.001) can significantly improve PA at post-intervention. Moreover, the intervention effects were significant across all groups of theory, region, instrument, duration, and female ratio. At follow-up, interventions in groups of developing region (SMD = 1.17, 95% CI: 0.73, 1.62, p < 0.001), objective instrument (SMD = 0.83, 95% CI: 0.23, 1.42, p = 0.007), duration ≤ 3-month (SMD = 1.06, 95% CI: 0.72, 1.39, p < 0.001), and all female (SMD = 0.79, 95% CI: 0.02, 1.56, p = 0.044) can significantly improve PA. The evidence of this meta-analysis shows that e-health interventions can be taken as promising strategies for promoting PA. The maintenance of PA improvement and the effect of interventions in reducing SB remain to be further studied. Educators and health practitioners should focus on creating multiple e-health interventions with individualized components.

1 December 2023 in Psychology Research and Behavior Management
Verified
Journal Article
Open access
PDF file
ZZZhuang Zhou
Zhuang Zhou
XZXiaogang Zhou
Xiaogang Zhou
GSGang Shen
Gang Shen
AKAhmad Zamri Khairani
Ahmad Zamri Khairani
JSJamalsafri Saibon
Jamalsafri Saibon
Background and Objective: Bullying is notably prevalent among children and adolescents, especially within the context of physical education (PE) environments. Understanding the underlying factors that trigger bullying behavior is essential in designing strategies to prevent bullying and formulating more effective interventions in PE. There is a lack of integrated findings regarding the wide range of correlates of bullying behavior among children and adolescents within the PE context. Therefore, this systematic review aimed to synthesize the correlates of bullying behavior among children and adolescents within the context of PE. Methods: We conducted a systematic search across four databases (EBSCOhost, PubMed, Scopus, Web of Science) for relevant studies published before August 2023. Two reviewers independently examined the articles, assessed their methodological quality, and performed data extraction. Results: A total of 23 articles met the inclusion criteria. It is found that demographic, physical movement, physical appearance, psycho-cognitive, teacher-related, and contextual factors emerged as six prominent influential factors affecting adolescent bullying behavior. Specifically, demographic factors mainly encompassed age and gender; physical movement factors primarily include physical activity, sedentary behavior, physical exercise, and sports competence; physical appearance factors primarily include being overweight, too thin, too tall, or too short; psycho-cognitive factors chiefly involved cognitive empathy, motivation, enjoyment of physical activity; teacher-related factors primarily comprised activity choices, teachers competence, controlling style, autonomy support; and contextual factors primarily cover desolate climate, perceived caring climate, strong sense of competition and winning setting. Conclusion: The results indicate that bullying is a complex and multifaced behavior primarily determined by demographic, physical movement, physical appearance, psycho-cognitive, teacher-related, and contextual factors. Future studies need to enhance the diversity of research samples and comparative studies on the factors influencing bullying behavior among children and adolescents in different countries. Additionally, a more extensive range of intervention studies addressing bullying behavior among children and adolescents is warranted.

1 September 2024 in Psychology Research and Behavior Management
Verified
Journal Article
Open access
PDF file
CZChunrong Zuo
Chunrong Zuo
NANor Shafrin Binti Ahmad
Nor Shafrin Binti Ahmad
LZLyu Zeng
Lyu Zeng
XZXiaogang Zhou
Xiaogang Zhou
FLFeifei Li
Feifei Li
PGPing Gao
Ping Gao
Background and Objective: The mental health of economically disadvantaged college students in China is notably inferior to that of their non-disadvantaged peers. As such, these students necessitate a broader spectrum of psychological support beyond mere financial assistance. Seligman’s PERMA theory has established a compelling association between social support and positive emotions with subjective well-being. However, there is a scarcity of research focusing on character strengths within this framework, particularly the mechanisms that underlie their relationship. Hence, this study aims to examine the relationship between character strengths and subjective well-being among Chinese impoverished college students, while also delving into the chain mediating roles of perceived social support and positive emotions. Methods: A convenience sampling method was employed to collect cross-sectional data from impoverished college students. Participants (N=336, Mean age=20.67) were assessed using four instruments: the Chinese Virtues Questionnaire (CVQ-96), the Perceived Social Support Scale (PSSS), the Positive and Negative Affect Scale (PANAS), and the Satisfaction with Life Scale (SWLS). Results: Character strengths, perceived social support, positive emotions, and subjective well-being were all significantly positively correlated with each other (p< 0.01). In addition, regression analysis indicated that character strengths positively predicted perceived social support (β=0.71, p< 0.001), positive emotions (β=0.44, p< 0.001), and subjective well-being (β=0.52, p< 0.001). Perceived social support positively predicted positive emotions (β=0.34, p< 0.001), and subjective well-being (β=0.44, p< 0.001). Positive emotions positively predicted subjective well-being (β=0.88, p< 0.001). Furthermore, chain mediation analysis revealed that character strengths influenced subjective well-being both directly and indirectly through perceived social support and positive emotions. Conclusion: Perceived social support and positive emotions play a chain mediating role between character strengths and subjective well-being among impoverished college students.