Background Previous studies have suggested that screen time (ST) has a negative effect on children’s emotional and behavioral health, but there are few longitudinal studies that have been conducted with infants and toddlers. This study sought to examine the effect of ST in early childhood on emotional and behavioral problems in children aged 4 years, based on a birth cohort study in China. Methods A total of 2492 children aged 4 years were enrolled in this study. The parents and guardians of each child completed a questionnaire that included items eliciting information on children’s birth information, socio-demographic information at baseline, and ST at each follow-up. Emotional and behavioral problems were assessed using the Strengths and Difficulties Questionnaire (SDQ) at 4 years of age. Multivariate logistic analysis was used to explore the effects of ST on emotional and behavioral problems. Results The percentages of children with ST > 0 h/day at age 0.5 years, ST > 2 h/day at age 2.5 years, and ST > 2 h/day at age 4 years were 45.7, 55.5, and 34.5% respectively. The prevalence of emotional and behavioral problems was 10.8%. ST at 6 months was a risk factor for emotional symptoms and hyperactivity at the age of 4 years. ST at age 2.5 years was a risk factor for hyperactivity at the age of 4 years. However, ST at age 4 years was a risk factor for total difficulties, conduct problems, peer problems, hyperactivity, and prosocial behavior. Conclusions Higher ST exposure at early childhood is associated with later emotional and behavioral problems. In particular, sustained high ST exposure is a risk factor for behavioral problems. These findings suggested the importance of controlling ST to prevent the occurrence of emotional and behavioral problems in the early years.
BackgroundDuring the last months of 2019, worldwide attention has focused on a pandemic of COVID-19, and the pandemic spread rapidly, becoming a public health emergency of international concern. The Chinese government has quickly taken quarantine measures and the drastic measures incurred to curtail it, which could have harmful consequences for everyone's behavior and mental health.ObjectiveThis study aimed to investigate the correlation of influencing factors and mental health symptoms among Chinese college students according to two rounds of surveys during the COVID-19 pandemic.Materials and methodsThis study was divided into two stages of cross-sectional investigation. In February 2020 and May 2020, two cross-sectional surveys were conducted on college students in the above areas by means of cluster sampling. From February 4 to February 12, 2020, 14,789 college students completed the first round of online study from 16 cities and universities in 21 in China, excluding participants who completed the questionnaire, and finally included 11,787 college students. After 3 months, we also conducted a large-scale questionnaire survey based on the first study area to observe the behavioral changes and psychological symptoms of college students within 3 months. Using the convenience sampling method, a survey on the cognitive and psychological status of COVID-19 among college students was conducted in 21 universities in 16 regions in May 2020. The regions among the two surveys are divided into Wuhan (District 1), neighboring Hubei (District 2), first-tier cities, namely, Beijing, Shanghai and Guangzhou (District 3), and other provinces (District 4).Results(1) In the first survey, the average age of the participants was 20.51 ± 1.88 years. One-third of the college students were male. In total, 25.9 and 17.8% of college students reported depression and anxiety symptoms, respectively. College students, who reported higher ST, lower PA, higher soda beverage and tea beverage intake, have Chinese herbal medicine and vitamin drinking, and decreased frequency of diet had higher depression and anxiety symptoms. Moreover, infection risk, perceived resistance to COVID-19, concerns about physical symptoms, family/friends directly/indirectly contacted with confirmed cases, and seeking psychological counseling had significant associations with anxiety and depression symptoms. (2) In the second round of surveys, 6803 males (41.7%) and 9502 females (58.3%) had a mean age of 20.58 ± 1.81 years. The prevalence of depressive symptoms and anxiety symptoms during COVID-19 was 30.7 and 23.9%, respectively. (3) In both surveys, college students who reported having higher ST, lower PA, higher soda beverage and tea beverage intake, Chinese herbal medicine and vitamin drinking, and decreased frequency of diet also had higher depression and anxiety symptoms. Coping styles with COVID-19 partially mediate the association between some related lifestyle behaviors and anxiety and depression. The results of the conditional process model analysis support our hypothesis that lifestyle behaviors, and coping styles are both predictors of anxiety and depression symptoms, with both direct and indirect effects moderated by gender level. In logistic regression analysis, the correlation of depression and anxiety in the second rounds of the survey was higher than that in the first survey. In two surveys, there was a correlation between lifestyle health behaviors and coping style, gender and mental health.ConclusionsOur findings demonstrated that the prevalence of anxiety and depression in the two rounds of surveys was different, and the prevalence in the second round was higher than that in the first round, as well as that in the two rounds of surveys. All survey identified that unhealthy lifestyle behaviors were positively associated with depression and anxiety symptoms. Compared with the emerged city of risk areas, other pandemic regions have a lower risk of mental health problems. The survey findings complement each other. Lifestyle health behaviors and coping style alleviated mental health symptoms. COVID-19-related social stressors were positively associated with mental health symptoms. The study also suggests that at the beginning of the pandemic, the effective management of college students' mental health problems, corresponding coping measures and maintaining a good lifestyle play a key role in the prevention and control of other cities. Understanding the college students' lifestyle behaviors during COVID-19 lockdown will help public health authorities reshape future policies on their nutritional recommendations, in preparation for future pandemics.
Background After emerging in China, the novel coronavirus disease 2019 (COVID-19) quickly spread to all parts of the country and became a global public health emergency. The Chinese government immediately took a series of protective and quarantine measures to prevent the spread of the virus, and these measures may have negative effects on behavior and psychological health. This study aimed to examine the associations between factors related to COVID-19 measures and mental health symptoms among Chinese college students in different pandemic areas. Methods An online survey was administered to 14,789 college students from February 4 to 12, 2020. After excluding the participants who did not complete the questionnaire, the quality of the questionnaire was checked. Finally, the sample included 11,787 college students from 16 cities and 21 universities in China. The areas included the city of Wuhan (Area 1), the neighboring province of Hubei (Area 2), first-tier cities (Beijing, Shanghai, and Guangzhou [Area 3]), and other provinces (Area 4). Results The average age of the participants was 20.51 ± 1.88 years. One-third of the participants were men. In total, 25.9 and 17.8% reported depression and anxiety, respectively. We also explored COVID-19-related factors, such as infection risk, perceived resistance to COVID-19 (or susceptibility to COVID-19 infection), perceived physical symptoms, family or friends, direct or indirect contact with confirmed cases, and having sought psychological counseling, which were significantly associated with anxiety and depression symptoms. Higher screen time, lower physical activity, higher soda and tea beverages (also called sugar sweetened beverages intake), use of alternative medicines or food supplements (including Chinese herbal medicines and vitamins), and decreased meal frequency were all correlated with higher depression and anxiety symptoms (depression: χ2 = 25.57 and anxiety: χ2 = 39.42). Coping with COVID-19 partially mediated the associations between some related lifestyle behaviors, anxiety, and depression. The conditional process model analysis results supported our hypotheses that lifestyle health behaviors and coping style were both predictors of anxiety and depression symptoms, and their direct and indirect effects were moderated by sex. Conclusions Compared with the city of Wuhan, other epidemic areas had a lower risk of mental health problems. Lifestyle health behaviors and coping styles alleviated mental health symptoms. COVID-19-related social stressors were positively associated with mental health symptoms.
BackgroundWhile there is evidence that low socioeconomic status (SES) increases susceptibility to depression, few studies have focused on the effect of marital SES matching on depression. This study aimed to explore the impact of SES indicator matching on depressive symptoms in newlyweds and clarify the interaction of depressive symptoms between couples.MethodsWe assessed the depressive symptoms of newlyweds (N = 28, 179 couples) using a 9-item Patient Health Questionnaire. Logistic regression models and restricted cubic splines were used to explore the association between SES indicator matching and depressive symptoms and the interaction of depressive symptoms in newlyweds, respectively.ResultsCompared with newlyweds with both high-level SES, the newlyweds with both low-level SES, male higher SES, or female higher SES had an increased risk of depressive symptoms in husbands (OR = 1.31; 1.22; 1.30), wives (OR = 1.30; 1.36; 1.32), and couples (OR = 1.48; 1.56; 1.57) (all P < 0.05). In addition, as the level of depression in one partner increases, the risk of depression in the other partner also increases.ConclusionMismatched SES and low-level SES between couples have adverse effects on depressive symptoms in newlyweds, with depressive symptoms having a positive association between newlyweds.
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