scholarly journals Depressive Risk among Italian Socioeconomically Disadvantaged Children and Adolescents during Covid-19 Pandemic: A Cross-Sectional Online Survey

Author(s):  
Maria Serra ◽  
Anna Presicci ◽  
Luigi Quaranta ◽  
Maria Rosaria Erminia Urbano ◽  
Lucia Marzulli ◽  
...  

Abstract Background Children and adolescents and low-income individuals are considered particularly vulnerable for mental health implications during the current COVID-19 pandemic. Depression is one of the most frequent negative emotional responses during an epidemic outbreak, mainly due to the imposed restriction of social contacts. We aimed to assess depressive symptomatology in a sample of Italian low-income minors and to determine if pandemic-related stressors and pre-existing neuropsychiatric diagnoses would behave as risk factors for depressive symptoms. Methods We performed a cross-sectional study during July 2020, at the end of the Italian first wave of COVID-19 pandemic. We recruited 109 Italian socioeconomically disadvantaged children and adolescents, from 7 to 17 years. We used an online survey to collect socio-demographic and clinical data and information about pandemic-related stressors, and to assess depressive symptoms with the Children’s Depression Inventory 2 (CDI 2), Parent Version (Emotional Problems subscale) and Self-Report Short Form. We performed logistic regression analysis to assess the association between depressive symptoms and potential risk factors for mental health. Results 22% and 14% of participants showed depressive symptoms at the CDI 2 Parent Version and Self-Report, respectively. Participants coming from families experiencing a lack of basic supplies during the pandemic (34.9%) were more expected to show depressive symptoms at CDI 2 Parent Version. Participants with a pre-existing neuropsychiatric diagnosis (26.6%) were more likely to exhibit depressive symptoms measured by CDI 2 Parent Version. Conclusions The results of our study may be representative of a particular group of frail subjects, the socioeconomically disadvantaged children and adolescents, who were more vulnerable to depressive symptoms if they suffered from a paucity of essential supplies during the pandemic or had pre-existing neurodevelopmental disorders. The promotion of educational and child-care programs and activities could be crucial in sustaining the prevention of mental distress in those frail subjects who particularly need support outside the family.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Daniel A. Antiporta ◽  
Yuri L. Cutipé ◽  
Maria Mendoza ◽  
David D. Celentano ◽  
Elizabeth A. Stuart ◽  
...  

Abstract Background Population health and well-being in Latin America, the current epicenter of the COVID-19 pandemic, has been severely affected during the past semester. Despite the growing evidence about the link between the pandemic, its control measures, and mental health worldwide, there is still no regional evidence of the potential mental health impact. We describe the prevalence and distribution of depressive symptoms across demographic and socioeconomic risk factors in the Peruvian population amidst a national lockdown during the COVID-19 pandemic. Methods Cross-sectional study conducted during the community transmission phase and national lockdown in Peru (May 4th–16th, 2020). We recorded 64,493 responses from adult Peruvian residents through an opt-in online questionnaire. All analyses were weighted using raking based on proportions of sociodemographic variables from the last Peruvian census in 2017. The prevalence of depressive symptoms was calculated using the Patient Health Questionnaire (PHQ-9) score of 10 or more. We identified associated demographic and socioeconomic factors by prior mental health diagnosis. Sensitivity analysis considered an alternative cut-off point for depressive symptoms of PHQ-9 ≥ 14. Results A total of 57,446 participants were included in the analytical sample. A third of the participants (n = 23,526, unweighted) showed depressive symptoms in the 2 weeks prior to the study. Participants who reported a previous mental health diagnosis doubled the sample prevalence of depressive symptoms (59, 95%CI 56.7, 61.4%) of those without a prior diagnosis. Psychosocial and functioning reactions were largely more prevalent among females and young adults. A dose-response relationship was found between household income and depressive symptoms across previous mental health diagnosis strata, being as low as 32% less in the wealthiest than the most impoverished group (PR: 0.68, 95%CI 0.58,0.79). Other critical factors associated with a higher burden of depressive symptoms were lower education level, single, unemployed, and chronic comorbidity. Conclusions An increased burden of depressive symptoms and psychosocial reactions has emerged during the COVID-19 pandemic in Peru compared to previous years. The mental health burden disproportionately affects women, the younger population, and those with low income and education. As the country eases the social distancing measures, it is crucial to use local evidence to adjust public health policies and mental health services to the renewed population needs.


2020 ◽  
Author(s):  
Yi Feng ◽  
Dan Dong ◽  
Min Zong ◽  
Zhizun Yang ◽  
Zhihong Qiao

Abstract Background The positive predictive effect of altruism on physical and psychological well-being has been extensively demonstrated in previous studies, but few studies have examined the effect of altruism on negative mental health outcomes when altruists cannot perform altruistic behaviors. This study explored the influence of altruism on negative affect and mental health (anxiety and depression) during the outbreak of the COVID-19 pandemic, when people self-isolated at home in China.Method: College students were recruited via a cross-sectional online survey during the outbreak of COVID-19 in China. Self-reported perceived risk, altruism, negative affect, anxiety and depressive symptoms were measured using the Self-Report Altruism Scale (SRA), the Positive and Negative Affect Schedule (PANAS), the 7-item Generalized Anxiety Disorder Scale (GAD-7) and the 9-item PHQ depression scale (PHQ-9). A structural equation model was used to analyze the mediating and moderating effects on mental health.Results The final sample comprised 1346 Chinese participants (Mage = 19.76 ± 2.23 years, 73% female). Overall, the higher risk people perceived, the more negative affect they exhibited (β = 0.16, p < .001); thus, the more anxious and depressed they felt (β = 0.134, p < .001), but this relationship between risk perception and negative affect was moderated by altruism. Paradoxical to previous studies, the increase in negative affect associated with increased perceived risk was pronounced among individuals with high altruism ( t = 7.68, p < .001).Conclusions Individuals with high altruism exhibited more negative affect, indirectly increasing their anxiety and depressive symptoms. The findings enrich the theory of altruism and provide valuable insight into the influence of altruism on mental health during the COVID-19 outbreak.


2021 ◽  
Author(s):  
Asem Alageel ◽  
Rayyan Alyahya ◽  
Yasser Bahatheq ◽  
Norah Alzunaydi ◽  
Raed Alghamdi ◽  
...  

Abstract Background:Smartphone addiction and other behavioral addictions have been established to accompany social, physical, and mental health issues. In this article, we will be investigating the prevalence of smartphone addiction among postgraduate students as well as assessing its relationship to social demographics, depression, ADHD, and nicotine dependence.Objectives:· The prevalence of smartphone addiction among middle eastern postgraduate students.· Ascertain the associated factors of smartphone addiction.· Measure the incidence of MDD, ADHD, insomnia, and nicotine addiction among postgraduate students with smartphone addiction.Methods:A Cross-sectional online survey, a self-questionnaire is divided into six sections; Socio-demographics, the Smartphone Addiction Scale (SAS) Patient Health Questionnaire for Depression (PHQ9). Athens Insomnia Scale (AIS) the Fagerstrom Test for Cigarette Dependence Questionnaire (FTCd) and the Adult ADHD Self-Report Scale (ASRS-v1.1)Results:51.0% of the participants had smartphone addiction. There’s a significant association between high smartphone use and MDD (p=0.001). 41.5% of smokers are addicted to smartphones (p=0.039). Smartphone addicts have about two times the risk of developing insomnia (OR= 2.113) (P= 0.013). Smartphone addicts had a significant risk of developing ADHD symptoms (OR =2.712) (P <0.001). Conclusion:Confirming several studies, we found a positive association between Insomnia, Depression, Adult ADHD, and Smartphone addiction. Therefore, we encourage the scientific community to study the impacts of smartphone addiction and the mental health of post-graduate students.


COVID ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 447-457
Author(s):  
Ines Luttenbacher ◽  
Jamie S. Breukel ◽  
Maheen M. Adamson

Introduction: While mitigation procedures are needed to prevent the continuous spread of COVID-19, they may, in turn, negatively impact individuals’ mental health. Therefore, the current study aimed to investigate the relationships between loneliness, rumination, and depression, as well as the mediating role of rumination in the relationship between loneliness and depression in university students during the COVID-19 pandemic. Methods: A cross-sectional online survey was circulated, collecting a final sample of 288 university students (Mage = 22.01, SD = 3.45, range = 18–55, 75.7% female). Study variables were measured utilizing self-report questionnaires. Results: In line with the hypotheses, rumination partially mediated the relationship between loneliness and depression. Discussion: Therefore, ruminative thoughts may be one of the key factors contributing to lonely university students’ susceptibility to depressive symptoms during the COVID-19 pandemic.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Asem A. Alageel ◽  
Rayyan A. Alyahya ◽  
Yasser A. Bahatheq ◽  
Norah A. Alzunaydi ◽  
Raed A. Alghamdi ◽  
...  

Abstract Background Smartphone addiction, as with other behavioral addictions, is associated with social, physical, and mental health issues. In this article, we investigated the prevalence of smartphone addiction among postgraduate students and evaluated its correlation with social demographics, depression, attention-deficit/hyperactivity disorder (ADHD), and nicotine dependence. Objectives The objective of this study was to investigate the prevalence of smartphone addiction among Middle Eastern postgraduate students, determine the factors associated with smartphone addiction, and estimate the incidence rate of major depressive disorder (MDD), ADHD, insomnia, and nicotine addiction among postgraduate students with smartphone addiction. Methods As part of a cross-sectional online survey, participants were given a self-questionnaire divided into six sections: Socio-demographics, Smartphone Addiction Scale (SAS), Patient Health Questionnaire (PHQ9) for Depression, Athens Insomnia Scale (AIS), the Fagerström Test for Cigarette Dependence Questionnaire (FTCd), and the adult ADHD Self-Report Scale (ASRS-v1.1). Results Of the 506 patients, 51.0% of the participants demonstrated smartphone addiction. A significant association was also observed between extensive smartphone use and MDD (P = 0.001). Of the smokers in this study, 41.5% were addicted to smartphones (P = 0.039). Smartphone addicts had approximately two times the chance of having insomnia (OR = 2.113) (P = 0.013). In addition, they showcased more ADHD symptoms (OR = 2.712) (P < 0.001). Conclusions We found a positive association among insomnia, depression, adult ADHD, and smartphone addiction, which confirms the findings reported in the previous studies. Therefore, we encourage the scientific community to further study the impacts of smartphone addiction on the mental health of postgraduate students.


2020 ◽  
Author(s):  
Yi Feng ◽  
Min Zong ◽  
Zhizun Yang ◽  
Wen Gu ◽  
Dan Dong ◽  
...  

Abstract Background: The positive predictive effect of altruism on physical and psychological well-being has been extensively demonstrated in previous studies, but few studies have examined the effect of altruism on negative mental health outcomes when altruists cannot perform altruistic behaviours. This study explored the influence of altruism on negative affect and mental health (anxiety and depressive symptoms) during the COVID-19 pandemic while people self-isolated at home in China.Method: University students were recruited to participate in a cross-sectional online survey during the outbreak of COVID-19 in China. Self-reported perceived risk, altruism, negative affect, anxiety and depressive symptoms were measured using the Self-Report Altruism Scale (SRA scale), the Positive and Negative Affect Schedule (PANAS), the 7-item Generalized Anxiety Disorder Scale (GAD-7) and the 9-item Patient Health Questionnaire depression scale (PHQ-9). A structural equation model was used to analyse the mediating and moderating effects on mental health. Results: The final sample comprised 1346 Chinese participants (Mage = 19.76 ± 2.23 years, 73% female). Overall, the higher the risk the participants perceived, the more negative affect they exhibited (β = 0.16, p < .001), and thus, the more anxious and depressed they felt (β = 0.134, p < .001); however, this relationship between risk perception and negative affect was moderated by altruism. In contrast to previous studies, the increase in negative affect associated with the increased perceived risk was pronounced among individuals with high altruism (t = 7.68, p < .001). Conclusions: Individuals with high altruism exhibited more negative affect than those with low altruism, which indirectly increased their anxiety and depressive symptoms. These findings enrich theories of altruism and provide valuable insight into the influence of altruism on mental health during the COVID-19 outbreak.


2021 ◽  
Author(s):  
Hany ElGindi ◽  
Reham Shalaby ◽  
April Gusnowski ◽  
Wesley Vuong ◽  
Shireen Surood ◽  
...  

BACKGROUND During the COVID-19 pandemic, threats to mental health, psychological safety, and well-being are evident, particularly among the first responders and the healthcare staff. OBJECTIVE This study aimed to examine the prevalence and the potential predictors of the likely stress, generalized anxiety disorder, and major depressive disorder among healthcare workers (HCW). METHODS A cross-sectional survey was used through a survey link sent to gather demographic information and responses on several self-report scales, including the Perceived Stress Scale (PSS), Generalized Anxiety Disorder 7-item (GAD-7) scale, and Patient Health Questionnaire-9 (PHQ-9) among the various HCW groupings who subscribed to the Text4Hope program. RESULTS This study revealed that the HCW expressed an estimated high prevalence of moderate/high stress rates 840 (81.2%), while the likelihood of moderate/severe anxiety and depressive symptoms were 369 (38.6%), and 317 (32.7%), respectively, during COVID-19 pandemic. Nurses and other HCW were significantly more likely to report depressive symptoms, compared to physicians, (F (2, 159.47) =15.89, 95% CI= (-5.05) -(-2.04). Younger age groups of HCW (≤30 y) were more prone to report likely stress, anxiety, and depressive symptoms, compared to HCW 41-50y and >50y (Odd’s ratio range: 1.82- 3.03). Similarly, females and those who reported a lack of social support (separated/divorced and single) among HCW, had a higher likelihood to report likely stress and depressive symptoms, respectively (OR=1.8 and 1.6). CONCLUSIONS This cross-sectional study revealed the significant impact of COVID-19 pandemic on mental health and indicated significant vulnerability among groups of HCW in Alberta. CLINICALTRIAL Ethical approval for this research was obtained through the University of Alberta Health Research Ethics Board (Pro00086163).


2021 ◽  
pp. 000486742110314
Author(s):  
Laura Orlando ◽  
Katarina A Savel ◽  
Sheri Madigan ◽  
Marlena Colasanto ◽  
Daphne J Korczak

Context: Studies of child and adolescent internalizing symptoms and dietary pattern have produced mixed results. Objectives: To quantify the association between dietary patterns and internalizing symptoms, including depression, in children and adolescents. Data sources: Embase, PsycINFO, MEDLINE, Web of Science and Cochrane up to March 2021. Study selection: Observational studies and randomized controlled trials with mean age ⩽ 18 years, reporting associations between diet patterns and internalizing symptoms. Data extraction: Mean effect sizes and 95% confidence intervals were determined under a random-effects model. Results: Twenty-six studies were cross-sectional, 12 were prospective, and 1 used a case-control design. The total number of participants enrolled ranged from 73,726 to 116,546. Healthy dietary patterns were negatively associated with internalizing ( r = –0.07, p < 0.001, 95% confidence interval [–0.12, 0.06]) and depressive symptoms ( r = –0.10, p < 0.001, 95% confidence interval [–0.18, –0.08]). Effect sizes were larger for studies of healthy dietary patterns and internalizing and depressive symptoms using self-report versus parent-report measures, as well as in cross-sectional studies of healthy dietary patterns and depression compared to prospective studies. Unhealthy dietary patterns were positively associated with internalizing ( r = 0.09, p < 0.001, 95% confidence interval [0.06, 0.14]) and depressive symptoms ( r = 0.10, p < 0.01, 95% CI [0.05, 0.17]). Larger effect sizes were observed for studies of unhealthy dietary patterns and internalizing and depressive symptoms using self-report versus parent-report measures. Limitations: A lack of studies including clinical samples and/or physician diagnosis, and a paucity of studies in which anxiety symptoms were the primary mental health outcome. Conclusion: Greater depression and internalizing symptoms are associated with greater unhealthy dietary patterns and with lower healthy dietary intake among children and adolescents.


2006 ◽  
Vol 28 (4) ◽  
pp. 290-296 ◽  
Author(s):  
Isabel Altenfelder Santos Bordin ◽  
Cristiane Silvestre Paula ◽  
Rosimeire do Nascimento ◽  
Cristiane Seixas Duarte

OBJECTIVE: To estimate the prevalence of severe physical punishment of children/adolescents in a low-income community, and to examine child mental health problems as a potential correlate. METHOD: This study is a Brazilian cross-sectional pilot study of the World Studies of Abuse in Family Environments. A probabilistic sample of clusters including all eligible households (women aged 15-49 years, son/daughter < 18 years) was evaluated. One mother-child pair was randomly selected per household (n = 89; attrition = 11%). Outcome (severe physical punishment of children/adolescents by mother/father) was defined as shaking (if age < 2 years), kicking, choking, smothering, burning/scalding/branding, beating, or threatening with weapon. Three groups of potential correlates were examined: child/adolescent (age, gender, physical/mental health); mother (education, unemployment, physical/mental health, harsh physical punishment in childhood, marital violence); father (unemployment, drunkenness). Severe marital violence was defined as kicking, hitting, beating or use of /threat to use a weapon. The following standardized questionnaires were applied by trained interviewers: World Studies of Abuse in Family Environments Core Questionnaire, Child Behavior Checklist, Self-Report Questionnaire. RESULTS: Outcome prevalence was 10.1%. Final logistic regression models identified two correlates: maternal harsh physical punishment in childhood (total sample, OR = 5.3, p = 0.047), and child/adolescent mental health problems (sub-sample aged 4-17 years, n = 67, OR = 9.1, p = 0.017). CONCLUSIONS: Severe physical punishment of children/adolescents is frequent in the studied community. The victims have a higher probability of becoming future perpetrators. When intrafamilial violence occurs, child/adolescent mental health may be compromised.


2021 ◽  
Author(s):  
Daniel Deimel ◽  
Thorsten Köhler ◽  
Janina Dyba ◽  
Niels Graf ◽  
Christine Firk

Abstract Background The ongoing Covid-19 pandemic not only threats physical health, but also affects the mental health of people. Yet, health consequences of the pandemic do not affect all members of society equally. We, therefore, assessed the mental health burden of individuals who are at increased risk of severe illness from Covid-19 compared to individuals who are at low risk of severe illness during the first lockdown in Germany. Furthermore, we investigated variables mediating the effect of being an individual at increased risk of serve illness on depression. Methods Adult German residents (n = 2.369) provided responses to a cross-sectional online survey about risk factors for an increased risk of severe illness from Covid-19 and various aspects of mental health during the first Covid-19 lockdown in Germany. Standardized and validated self-report measures (e.g. PHQ-9, GAD-7) were used using Mann-Whitney U-tests as well as regression and mediation analyses. Results The results clearly show that the mental health burden is higher among persons at increased risk of severe illness from Covid-19 compared to persons at low risk of severe illness from Covid-19. Moreover, our findings indicate that individuals at increased risk of severe illness are more worried about their health during the pandemic and may therefore respond with social withdrawal to protect themselves and, consequently, experience higher levels of loneliness, which in turn has an impact on depressive symptoms. Conclusions Individuals at increased risk of severe illness have an increased need for psychosocial support during times of lockdown. Future public health policies should pay special attention to these individuals and support them by targeted offers. More research, however, is needed on possible long-term consequences of social distancing on mental health.


Sign in / Sign up

Export Citation Format

Share Document