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1.
Psychol Health Med ; : 1-11, 2022 Jan 04.
Article in English | MEDLINE | ID: covidwho-2237091

ABSTRACT

During the COVID-19 pandemic, internet use and gaming of adolescents had been elevated. On the one hand, internet use and gaming in the period was a good approach to killing quarantined time. However, the increased use of the internet and game of adolescents may also increase the risk of internet addiction. This study aimed to describe the internet behavior changes of adolescents and to understand the impact of clinical features on internet addiction after the adolescents back to school in COVID-19 period. We conducted a cross-sectional cohort study using data collected through online investigation in China. Six hundred and twenty-five adolescents completed the online survey. Results indicated that internet addiction, having gaming use behaviors, Strengths and Difficulties Questionnaire (SDQ) Conduct subscale scores and the SDQ Prosocial subscale scores before the COVID-19 outbreak were significant in predicting the internet addiction after the adolescents back to school. The proportion of internet addiction and gaming behaviors among adolescents in China was changed across the COVID-19 pandemic. Clinical features before the COVID-19 pandemic could predict Internet addiction risk after the adolescents back to school.

2.
Glob Ment Health (Camb) ; 9: 37, 2022.
Article in English | MEDLINE | ID: covidwho-2185041

ABSTRACT

[This corrects the article DOI: 10.1017/gmh.2021.23.].

3.
Front Psychiatry ; 13: 947360, 2022.
Article in English | MEDLINE | ID: covidwho-2154828

ABSTRACT

Background: The outbreak of COVID-19 has affected the mental health of adolescents. To describe the Internet behavior-changing patterns of adolescents and to understand the impact of clinical features on changing patterns during the COVID-19 pandemic. Materials and methods: We conducted a cross-sectional cohort study using data collected through online investigation in China. A total of 625 adolescents completed the online survey from May 15 to June 7, 2020. The adolescents were asked to retrospect to the Internet behaviors and game behaviors of three time periods as follows: before the COVID-19 outbreak in China, during the COVID-19 outbreak in China, and back to school. The clinical variables of the demographic data, family functionality, and emotional and behavioral symptoms were also collected. According to the Internet behaviors and game behaviors patterns across the three time periods, the subjects will be sub-grouped. Results: Four Internet behavior-changing patterns during the COVID-19 was identified: (1) Continuous Normal Group (55.52%); (2) Normal to Internet Addiction Group (5.28%); (3) Internet Addiction to Normal Group (14.56%); and (4) Continuous Internet Addiction Group (24.64%). Years of education, academic score ranking, family functionality, and emotional and behavioral symptoms were different across the four groups. Proportions of game behaviors, scores of Strengths and Difficulties Questionnaire (SDQ), and SDQ subscale during the period before the COVID-19 outbreak were significant in predicting changing patterns. Conclusion: The Internet behavior patterns of adolescents during the COVID-19 period were various. Clinical features before the COVID-19 pandemic may predict changing patterns. The heterogeneity in characteristics between different changing patterns should be considered when intervening in adolescents' problematic Internet behavior.

4.
Frontiers in psychiatry ; 13, 2022.
Article in English | EuropePMC | ID: covidwho-2126261

ABSTRACT

Background The outbreak of COVID-19 has affected the mental health of adolescents. To describe the Internet behavior-changing patterns of adolescents and to understand the impact of clinical features on changing patterns during the COVID-19 pandemic. Materials and methods We conducted a cross-sectional cohort study using data collected through online investigation in China. A total of 625 adolescents completed the online survey from May 15 to June 7, 2020. The adolescents were asked to retrospect to the Internet behaviors and game behaviors of three time periods as follows: before the COVID-19 outbreak in China, during the COVID-19 outbreak in China, and back to school. The clinical variables of the demographic data, family functionality, and emotional and behavioral symptoms were also collected. According to the Internet behaviors and game behaviors patterns across the three time periods, the subjects will be sub-grouped. Results Four Internet behavior-changing patterns during the COVID-19 was identified: (1) Continuous Normal Group (55.52%);(2) Normal to Internet Addiction Group (5.28%);(3) Internet Addiction to Normal Group (14.56%);and (4) Continuous Internet Addiction Group (24.64%). Years of education, academic score ranking, family functionality, and emotional and behavioral symptoms were different across the four groups. Proportions of game behaviors, scores of Strengths and Difficulties Questionnaire (SDQ), and SDQ subscale during the period before the COVID-19 outbreak were significant in predicting changing patterns. Conclusion The Internet behavior patterns of adolescents during the COVID-19 period were various. Clinical features before the COVID-19 pandemic may predict changing patterns. The heterogeneity in characteristics between different changing patterns should be considered when intervening in adolescents’ problematic Internet behavior.

5.
Glob Ment Health (Camb) ; 8: e33, 2021.
Article in English | MEDLINE | ID: covidwho-1361598

ABSTRACT

BACKGROUND: During the coronavirus disease 2019 (COVID-19) pandemic, Fangcang shelter hospitals were opened in Wuhan, China, to isolate and care for patients with mild or moderate symptoms. The patients and staff in the hospitals faced mental health challenges. This paper reports the experiences and mental health needs from them. METHOD: Following the qualitative design, semi-structured interviews were conducted in the EastWest Lake Fangcang Shelter Hospital, Wuhan on March 2020. Data collection and analysis was based on grounded theory. Open coding was adapted and a structured codebook was developed through coding seminars. The themes and subthemes were then confirmed through thematic analysis. The findings were further explained and integrated in a theoretical framework. RESULTS: A total of 10 COVID-19 patients and 13 staff, including doctors, nurses, psychiatrists, and policemen participated in the interviews. They have common needs, as well as their own needs. The perspectives from the staff also did complement for needs of the patients. The mental health needs were generalized into four themes, that is, basic needs, information and communication, emotional needs, and social support, each with several subthemes. In addition, there were some external factors that regulated the internal needs, which were summarized in a theoretical framework. CONCLUSIONS: The study indicates the directions on hospital management, mental health services, policy making, and social work to meet the mental health needs of the inpatients and staff from temporary shelter hospitals like Fangcang in Wuhan during the COVID-19 pandemic.

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