Determinants of post-COVID-19 symptoms among adults aged 55 or above with chronic conditions in primary care: data from a prospective cohort in Hong Kong.

Background: Primary care patients, especially those with an older age, are one of the most vulnerable populations for post-COVID-19 symptoms. Identifying predictors of post-COVID symptoms can help identify high-risk individuals for preventive care. Methods: Out of 977 primary care patients aged 55 years or above with comorbid physical and psychosocial conditions in a prospective cohort in Hong Kong, 207 patients infected in the previous 5-24 weeks were included. The three most common post-COVID-19 symptoms (breathlessness, fatigue, cognitive difficulty), which lasted beyond the 4-week acute infection period, were assessed using items from the COVID-19 Yorkshire Rehabilitation Scale (C19-YRS), together with other self-reported symptoms. Multivariable analyses were conducted to identify predictors of post-acute and long COVID-19 symptoms (5-24 weeks after infection). Results: The 207 participants had a mean age of 70.8 ± 5.7 years, 76.3% were female, and 78.7% had ≥2 chronic conditions. In total, 81.2% reported at least one post-COVID symptom (mean: 1.9 ± 1.3); 60.9, 56.5 and 30.0% reported fatigue, cognitive difficulty, and breathlessness respectively; 46.1% reported at least one other new symptom (such as other respiratory-related symptoms (14.0%), insomnia or poor sleep quality (14.0%), and ear/nose/throat symptoms (e.g., sore throat) (10.1%), etc.). Depression predicted post-COVID-19 fatigue. The female sex predicted cognitive difficulty. Receiving fewer vaccine doses (2 doses vs. 3 doses) was associated with breathlessness. Anxiety predicted a higher overall symptom severity level of the three common symptoms. Conclusion: Depression, the female sex, and fewer vaccine doses predicted post-COVID symptoms. Promoting vaccination and providing intervention to those at high-risk for post-COVID symptoms are warranted.

Does It Matter Who You Live with during COVID-19 Lockdown? Association of Living Arrangements with Psychosocial Health, Life Satisfaction, and Quality of Life: A Pilot Study.

BACKGROUND: Living arrangements might greatly impact psychosocial health and quality of life, particularly during the COVID-19 lockdown. This pilot study aimed to examine the association of different common living arrangements with psychosocial health, life satisfaction, and quality of life among Chinese adults during the COVID-19 lockdown. METHODS: An anonymous online survey was conducted using convenience sampling through the WeChat application in February 2020. Mental health (Patient Health Questionnaire-2, Generalized Anxiety Disorder-2, post-traumatic stress disorder symptoms, Patient Health Questionnaire-15, and meaning in life), social health (UCLA-3), quality of life (EQ5D and EQ-VAS), and life satisfaction were measured. Linear regression models were used. RESULT: The study included 1245 adults (mean age: 34.14 ± 10.71) in China. Compared to other living arrangements, participants who "live with partner and children" or "live with partner, children and parents" were more likely to have better outcomes of mental health, social health, quality of life, and life satisfaction. Participants who "live with parents or grandparents" or "live with partner" were more likely to have better health outcomes compared with those who "live with children" or "live alone". CONCLUSION: Living with a partner, children, and/or parents could be a protective factor against poor psychosocial health during lockdown and quarantine.

Association of positive and adverse childhood experiences with risky behaviours and mental health indicators among Chinese university students in Hong Kong: an exploratory study.

Background: Different childhood experiences may affect adult health differently. Objective: To explore the association of different types of positive childhood experiences(PCEs) and adverse childhood experiences (ACEs) with risky behaviours and mental health indicators, andhow PCEs and ACEs are associated with health outcomes in the context of each other. Method: This was an exploratory cross-sectional online survey including 332 university students in Hong Kong. ACEs (abuse and household challenges), PCEs (perceived safety, positive quality of life, and interpersonal support), risky behaviours (smoking, binge drinking, and sexual initiation), and mental health indicators(depression, anxiety, loneliness, self-rated health, multimorbidity, meaning in life, and life satisfaction)were measured. Results: The multivariable logistic regression analysis indicated cumulative effects of PCEs in lowered risks of depression, anxiety, loneliness, as well as better self-rated health, life satisfaction, and meaning in life (p < .05), after adjusting for ACEs. Results also indicated that ACEs had an increasing relationship with poorer mental health indicators, such as anxiety, loneliness, and life satisfaction (p < .05), after adjusting for PCEs. There was also an adverse association between having ≥4 ACEs with smoking and binge drinking. In addition, each type of PCE and ACE was significantly associated with one or more risky behaviours and mental health indicators. Stratified results showed that PCEs had stronger associations with mental health indicators in participants with fewer ACEs. Furthermore, ACEs had stronger associations with mental health indicators in participants with more PCEs than in those with fewer PCEs. Conclusions: In this study, PCE was proven to be an independent protective factor against poor mental health after accounting for ACE. ACE was also proven to be an independent risk factor for poor mental health and risky behaviours. These findings suggest a crucial need for the active promotion of PCEs and the prevention of child maltreatment. The results of subtypes and stratifications can be taken into consideration when developing targeted interventions in the future. HIGHLIGHTS: PCE is an independent protective factor against poor mental health after accounting for ACE. ACE is an independent risk factor for poor mental health and risky behaviours.PCEs and ACEs have different associations with health outcomes in the context of one another.

Antecedentes: Las diferentes experiencias de la infancia pueden afectar la salud de los adultos de manera diferente.Objetivo: Explorar la asociación de diferentes tipos de experiencias infantiles positivas (EIP) y experiencias infantiles adversas (EIA) con conductas de riesgo e indicadores de salud mental, y cómo las EIP y las EIA se asocian con resultados de salud en el contexto de cada uno.Método: Esta fue una encuesta transversal exploratoria en línea que incluyó a 332 estudiantes universitarios en Hong Kong. EIA (abuso y desafíos domésticos), EIP (seguridad percibida, calidad de vida positiva y apoyo interpersonal), comportamientos de riesgo (fumar, beber en exceso e iniciación sexual) e indicadores de salud mental (depresión, ansiedad, soledad, salud autoevaluada, multimorbilidad, sentido de la vida y satisfacción con la vida) fueron medidos.Resultados: El análisis de regresión logística multivariable indicó efectos acumulativos de EIP en disminuir el riesgo de depresión, ansiedad, soledad, así como mejor autoevaluación de la salud, satisfacción con la vida y sentido de la vida (p < 0,05), después de ajustar por EIA. Los resultados también indicaron que EIA tuvo una relación de incremento con indicadores de salud mental más deficientes, como ansiedad, soledad y satisfacción con la vida (p < 0,05), después de ajustar por EIP. También hubo una asociación adversa entre tener ≥4 EIA con fumar y beber en exceso. Además, cada tipo de EIP y EIA se asoció significativamente con uno o más comportamientos de riesgo e indicadores de salud mental. Los resultados estratificados mostraron que EIP tuvo asociaciones más fuertes con indicadores de salud mental en participantes con menos EIA. Además, EIA tuvo asociaciones más fuertes con indicadores de salud mental en participantes con más EIA que en aquellos con menos EIP.Conclusiones: En este estudio, se demostró que EIP es un factor protector independiente contra una pobre salud mental después de tomar en cuenta EIA. También se demostró que EIA es un factor de riesgo independiente para una pobre salud mental y comportamientos de riesgo. Estos hallazgos sugieren una necesidad crucial para la promoción activa de EIPs y la prevención del maltrato infantil. Los resultados de los subtipos y estratificaciones se pueden tener en cuenta al desarrollar intervenciones focalizadas en el futuro.