scholarly journals Mental health of parents and children during COVID‐19: finding the silver lining

2022 ◽  
Vol 64 (2) ◽  
pp. 140-140
Author(s):  
Kathy Zebracki
2019 ◽  
Vol 3 (1) ◽  
pp. 152
Author(s):  
Nur Ahmad

<p>Positive communication is communication that is able to develop its positive potency of children. Positive communication is built to form the fabric of a child’s personality that will also be established between parents and children. It can cultivate emotional intelligence. Of course, these two things will make a valuable provision for children’s development in the future. While missed communication would cause them uneducated and ignorant. Failure in communicating would<br />normally make a child called weird or crazy. Actually there are a few tips to succeed in realizing the potency of the child’s qualified personality, such as provide exemplary son, make the house as a science park, provides a vehicle for creativity, avoid negative emotions and always pray for children to be always given a good personality and mental health. Later in the development potency of the child’s personality can also be affected by a variety of factors. One of them is the positive communication patterns of parents towards their children (get them to always communicate in a positive environment). If the communication patterns of parents are bad, the negative impact will be felt by the child as well.</p>


2020 ◽  
Author(s):  
Suzanne H. Gage ◽  
Praveetha Patalay

AbstractBackgroundPoor adolescent mental health is a growing concern over recent decades with evidence of increasing internalising mental health problems corresponding with decrease in anti-social, smoking and alcohol behaviours. However, understanding whether and how the associations between mental health and health-related behaviours such as substance use, anti-social behaviour and obesity have changed over time is less well-understood.ObjectivesWe investigate whether the associations between different health-related outcomes in adolescence are stable or changing over time in two recent cohorts of adolescents born ten years apart.MethodData from two UK birth cohort studies, the Avon Longitudinal Study of Parents and Children (ALSPAC, born 1991-92, N=5627, 50.7% female) and Millennium Cohort Study (MCS, born 2000-1, N=11318, 50.6% female) at age 14 sweeps are used. The health outcomes of focus are depressive symptom score, substance use (alcohol, smoking, cannabis and other drugs), antisocial behaviours (assault, graffiti, vandalism, shoplifting and rowdy behaviour), weight (BMI), weight perception (perceive self as overweight) and sexual activity (had sexual intercourse).ResultsOur results suggest although directions of associations between mental-health and health-related behaviours (eg smoking) are similar over time, their strength across the distribution has changed. While smoking and alcohol use behaviours are decreasing in adolescents, those that endorse these behaviours in 2015 are more likely to have co-occurring mental-health and other problems than those born in 2005. Similarly, higher body mass index is more strongly associated with depressive symptoms in 2015.ConclusionsOur findings suggest that associations between these factors has changed over time, which has implications for public health and our understanding of the mechanisms underlying their observed associations in the population.


2020 ◽  
pp. 088626052093509 ◽  
Author(s):  
Rebecca E. Lacey ◽  
Laura D. Howe ◽  
Michelle Kelly-Irving ◽  
Mel Bartley ◽  
Yvonne Kelly

Previous research has demonstrated a graded relationship between the number of Adverse Childhood Experiences reported (an ACE score) and child outcomes. However, ACE scores lack specificity and ignore the patterning of adversities, which are informative for interventions. The aim of the present study was to explore the clustering of ACEs and whether this clustering differs by gender or is predicted by poverty. Data on 8,572 participants of the Avon Longitudinal Study of Parents and Children (ALSPAC) were used. ALSPAC is a regionally representative prenatal cohort of children born between 1991 and 1992 in the Avon region of South-West England. ACEs included parental divorce, death of a close family member, interparental violence, parental mental health problems, parental alcohol misuse, parental drug use, parental convictions, and sexual, emotional, and physical abuse, between birth and 19 years. Latent class analysis was used to derive ACE clusters and associations between poverty, gender, and the derived classes tested using multinomial logistic regression. Five latent classes were identified: “Low ACEs” (55%), “Parental separation and mother’s mental health problems” (18%), “Parental mental health problems, convictions and separation” (15%), “Abuse and mental health problems” (6%), and “Poly adversity” (6%). Death of a close family member and sexual abuse did not cluster with other adversities. The clustering did not differ by gender. Poverty was strongly related to both individual ACEs and clusters. These findings demonstrate that ACEs cluster in specific patterns and that poverty is strongly related to this. Therefore, reducing child poverty might be one strategy for reducing ACEs.


2015 ◽  
Vol 31 (2) ◽  
pp. 472 ◽  
Author(s):  
Ana Sainero ◽  
Jorge F. Del Valle ◽  
Amaia Bravo

<p>Research on mental health problems of children and young people in residential child care shows a high incidence. One of the strategies to improve the interventions is the use of tools of detection, so that biases in the referral to treatment could be avoided.</p><p>The objective of this study was to analyze the level of concordance between the information given by the young people and their social educators, using the CBCL (in case of educators) and YSR (for adolescents) in a sample of 138 young people aged from 11 to 18 who were in residential care. Also differences between the group of young people referred to mental health treatment and those without it were analyzed.</p>Results show low and moderate levels of concordance between the information given by the young people and their educators, with higher levels of agreement in externalized problems, in a similar way as the results found in research with samples of parents and children. Score differences are discussed according to the literature review, concluding that adults distinguish the clinical and non-clinical group clearly, but young people do not display significant differences. These findings indicate the need for giving more relevance to self-reports, to the adolescent own perspective.


1992 ◽  
Vol 37 (6) ◽  
pp. 374-380 ◽  
Author(s):  
L. Bergeron ◽  
J.P. Valla ◽  
J.J. Breton

A pilot study for a Quebec Child Mental Health Survey was completed in 1990 with 139 children aged six to 14 years from the general population. Six month prevalence estimates for seven disorders were established using DSM-HI-R criteria alone and in combination with an impairment index related to the diagnoses. Prevalence estimates were studied separately for parents and children. Each age group (six to 11, 12 to 14) was also studied separately. The impairment index, working as a severity scale, lowered prevalence estimates and allowed identification of impairing and non impairing diagnoses. Little overlap was found between informants.


Author(s):  
Alex S. F. Kwong ◽  
Rebecca M. Pearson ◽  
Mark J. Adams ◽  
Kate Northstone ◽  
Kate Tilling ◽  
...  

SummaryBackgroundThe impact of COVID-19 on mental health is unclear. Evidence from longitudinal studies with pre pandemic data are needed to address (1) how mental health has changed from pre-pandemic levels to during the COVID-19 pandemic and (2), whether there are groups at greater risk of poorer mental health during the pandemic?MethodsWe used data from COVID-19 surveys (completed through April/May 2020), nested within two large longitudinal population cohorts with harmonised measures of mental health: two generations of the Avon Longitudinal Study of Parents and Children (ALPSAC): the index generation ALSPAC-G1 (n= 2850, mean age 28) and the parent’s generation ALSPAC-G0 (n= 3720, mean age = 59) and Generation Scotland: Scottish Family Health Study (GS, (n= 4233, mean age = 59), both with validated pre-pandemic measures of mental health and baseline factors. To answer question 1, we used ALSPAC-G1, which has identical mental health measures before and during the pandemic. Question 2 was addressed using both studies, using pre-pandemic and COVID-19 specific factors to explore associations with depression and anxiety in COVID-19.FindingsIn ALSPAC-G1 there was evidence that anxiety and lower wellbeing, but not depression, had increased in COVID-19 from pre-pandemic assessments. The percentage of individuals with probable anxiety disorder was almost double during COVID-19: 24% (95% CI 23%, 26%) compared to pre-pandemic levels (13%, 95% CI 12%, 14%), with clinically relevant effect sizes. In both ALSPAC and GS, depression and anxiety were greater in younger populations, women, those with pre-existing mental and physical health conditions, those living alone and in socio-economic adversity. We did not detect evidence for elevated risk in key workers or health care workers.InterpretationThese results suggest increases in anxiety and lower wellbeing that may be related to the COVID-19 pandemic and/or its management, particularly in young people. This research highlights that specific groups may be disproportionally at risk of elevated levels of depression and anxiety during COVID-19 and supports recent calls for increasing funds for mental health services.FundingThe UK Medical Research Council (MRC), the Wellcome Trust and University of Bristol.


2021 ◽  
Author(s):  
Maddy Dyer ◽  
Hannah Sallis ◽  
Jasmine Natalie Khouja ◽  
Sarah Dryhurst ◽  
Marcus Robert Munafo

Background: Mental health has worsened, and substance use has increased for some individuals during the coronavirus (COVID-19) pandemic. Cross-sectional studies suggest that COVID-19 risk perceptions are related to mental health and risk behaviours (potentially including substance use). However, longitudinal and genetic data are needed to support stronger inferences regarding whether these associations reflect causal pathways. Methods: Using cross-sectional, longitudinal, and polygenic risk score (PRS) data from the UK Avon Longitudinal Study of Parents and Children (ALSPAC), we examined cross-sectional and prospective associations between COVID-19 risk perceptions and mental health, wellbeing, and risk behaviours. Participants (85% female) were aged between 27-72 years. We used pandemic (April-July 2020) and pre-pandemic (2003-2017) data (ns = 233-5,115). Results: COVID-19 risk perceptions were positively associated with anxiety (OR 2.78, 95% confidence interval [CI] 2.20 to 3.52), depression (OR 1.65, 95% CI 1.24 to 2.18), low wellbeing (OR 1.76, 95% CI 1.45 to 2.13), increased alcohol use (OR 1.46, 95% CI 1.24 to 1.72), and COVID-19 prevention behaviours (ps &lt; .05). Pre-pandemic anxiety (OR 1.64, 95% CI 1.29 to 2.09) and low wellbeing (OR 1.41, 95% CI 1.15 to 1.74) were positively associated with COVID-19 risk perceptions. The depression (b 0.21, 95% CI 0.02 to 0.40) and wellbeing (b -0.29, 95% CI -0.48 to -0.09) PRS were associated with higher and lower COVID-19 risk perceptions, respectively. Conclusions: Poorer mental health and wellbeing are associated with higher COVID-19 risk perceptions, and longitudinal and genetic data suggest that they may play a casual role in COVID-19 risk perceptions.


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