China ends its zero-COVID-19 policy: New challenges facing mental health services

Yu, Xiao; Chen, Tingting; Liu, Liang; Zong, Ling

doi:10.1016/j.ajp.2023.103485

Cited by 11 publications

(4 citation statements)

References 14 publications

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“…22 In February 2023, China announced the implementation of "Class B epidemic and B management" control measures for COVID-19 to reduce the negative impact of large-scale lockdown. 23 This policy indicates that the Chinese government will no longer adopt strict quarantine measures for COVID-19 infected people and close contacts, no longer divide high-risk areas and low-risk areas, and the population in each area can move freely. As a result of this policy, the risk of COVID-19 infection has increased nationwide, and acute cases have been treated in a timely and effective manner.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Adverse Effects of Long COVID on Individuals’ Health After Infection: A Propensity Score Matching Design Study

Miao,

Ren,

Shen

et al. 2024

RMHP

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Objective To evaluate the prevalence and influencing factors of long COVID, and measure the difference in health status between long COVID and non-long COVID cases. Methods A cross-sectional survey was conducted from February 1 to 8, 2023, using a stratified random sampling method in four regions (eastern [Changzhou], central [Zhengzhou], western [Xining] and northeastern [Mudanjiang]) of China. The survey collected COVID-19 patients’ socio-demographic characteristics and lifestyles information. The scores of lifestyles and health status range from 5 to 21 and 0 to 100 points, respectively. The criteria of “persistent health problems after 4 weeks of COVID-19 infection” issued by the US Centers for Disease Control and Prevention was used to assess long COVID. Multiple linear regression was used to analyze the influencing factors of the health. The bootstrap method was used to analyze the lifestyles’ mediating effect. Propensity score matching (PSM) was used to evaluate the net difference in health scores between long COVID and non-long COVID cases. Results The study included 3165 COVID-19 patients, with 308 (9.73%) long COVID cases. The health score of the long COVID cases (74.79) was lower than that of the non-long COVID cases (81.06). After adjusting for potential confounding variables, we found that never focused on mental decompression was a common risk factor for the health of both groups. Lifestyles was the mediating factor on individuals’ health. After PSM, the non-long COVID cases’ health scores remained higher than that of long COVID cases. Conclusion The proportion of long COVID cases was low, but they were worse off in health. Given the positive moderating effect of healthy lifestyles on improving the health of long COVID cases, healthy lifestyles including mental decompression should be considered as the core strategy of primary prevention when the epidemic of COVID-19 is still at a low level.

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Section: Introductionmentioning

confidence: 99%

Quantifying the Adverse Effects of Long COVID on Individuals’ Health After Infection: A Propensity Score Matching Design Study

Miao,

Ren,

Shen

et al. 2024

RMHP

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“…Disparities in COVID-19 vaccination rates between rural and urban regions are meaningful [ 27 ]. In China and other limited-income countries, frequent movement of the population between urban and rural areas is common [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study

Dong,

Miao,

Shen

et al. 2024

JMIR Public Health Surveill

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Background: Vaccination plays an important role in preventing Corona Virus Disease 2019 (COVID-19) infection and reducing the severity of the disease. However, the influencing factors of COVID-19 vaccination are complex and partially uncovered. There were differences in vaccination rates between urban and rural areas, not only for COVID-19, but also for other vaccines.Objective: To evaluate the disparities in the rate of fourth COVID-19 (second booster) vaccination between urban and rural areas in China. Methods:The cross-sectional study utilized a stratified random sampling approach to select representative samples from 11 communities and 10 villages in eastern (Changzhou), central (Zhengzhou), western (Xining) and northeast (Mudanjiang) in Chinese Mainland from February 1 to February 18, 2023. The vaccination of the participants was evaluated based on selfreported information provided. Binary logistic regression models were performed to explore influencing factors of vaccination among urban and rural participants, respectively. Urban-rural disparities in vaccination rate was assessed using Propensity Score Matching (PSM).Results: A total of 5780 participants (53.04% females) were included. The vaccination rate was 12.18% (95%CI: 11.34-13.02) in total sample, with 13.76% (95%CI: 12.40-15.12) in rural participants and 10.99% (95%CI: 9.93-12.06) in urban participants, respectively. For rural participants, self-report health condition, self-efficacy, educational level, vaccine knowledge, susceptibility, benefits, and trust in the healthcare system were independent factors associated with vaccination (all P?0.05). For urban participants, chronic condition, COVID-19 infection, subjective community level, vaccine knowledge, self-efficacy, and trust in the healthcare system were independent factors associated with vaccination (all P?0.05). PSM analysis uncovered a 3.42% difference in vaccination between urban and rural participants. Conclusions:The fourth COVID-19 (second booster) vaccination coverage rate among the Chinese population was extremely low and was significantly lower than the previous vaccine coverage rate. Given COVID-19 infection is still prevalent at a low level currently, efforts should be focused on enhancing self-efficacy to expand vaccine coverage rate among the Chinese. For rural residents, building the confidence of vaccination benefits and improving the health status of the population should be prioritized. In urban areas, a larger proportion of people infected with COVID-19 and chronic patients should be vaccinated.

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“…In February 2023, China announced the implementation of "Class B epidemic and B management" control measures for COVID-19 to reduce the negative impact of large-scale lockdown 23 . As a result of this policy, the risk of COVID-19 infection has increased nationwide, and acute cases have been treated in a timely and effective manner.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the adverse effects of long COVID on individuals’ health after infection: A Propensity Score Matching design study

Miao,

Ruizhe,

Shen

et al. 2023

Preprint

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This study assessed the prevalence and influencing factors of long COVID, and measured the difference in health status between long COVID and non-long COVID cases. A total of 3165 COVID-19 patients (53.11% female) completed the questionnaire and provided data on socio-demographic characteristics, lifestyles and health status. The total score of lifestyle assignment ranged from 5 to 21 points. Health status was assessed through self-reported, and the score ranged from 0 to 100 points. The criteria of “persistent symptoms or health problems after 4 weeks (28 days) of COVID-19 infection” issued by the US Centers for Disease Control and Prevention was used to assess whether the individuals had long COVID. The answers revealed that 9.73% of patients were identified long COVID. The health status scores of the long COVID cases 74.79 (95% CI: 72.75 ~ 76.82) was lower than that of the non-long COVID cases 81.06 (95% CI: 80.50 ~ 81.61). Never focused on mental decompression was a common risk factor for the health status of long and non-long COVID cases (β=-25.40, 95% CI: -38.82~-11.98; β=-4.86, 95% CI: -7.51~-2.21). The total lifestyle scores were identified as a mediating factor long COVID infection on individuals’ health, with a mediating effect of 0.2249 (95%CI: 0.0774 ~ 0.4096). In conclusion, the proportion of long COVID cases was low, but they were significantly worse off in health. This study proved that healthy lifestyles including mental decompression should be considered as the core strategy of primary prevention when the epidemic of COVID-19 is still at a low level.

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China ends its zero-COVID-19 policy: New challenges facing mental health services

Cited by 11 publications

References 14 publications

Quantifying the Adverse Effects of Long COVID on Individuals’ Health After Infection: A Propensity Score Matching Design Study

Quantifying the Adverse Effects of Long COVID on Individuals’ Health After Infection: A Propensity Score Matching Design Study

Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study

Quantifying the adverse effects of long COVID on individuals’ health after infection: A Propensity Score Matching design study

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