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Parental Stress After the Covid-19 Pandemic

22 de junho de 2020 atualizado por: Sverre Urnes Johnson, University of Oslo

Parental Stress After the Covid-19 Pandemic: Predictors and Outcome

The aim of this study is to investigate the levels of parental stress 3 months after (T2) the strict physical distancing government initiated physical distancing protocols related to the COVID-19 pandemic (T1). The study also aims to investigate how predictors measured during the COVID-19 pandemic are associated with parental stress 3 months after when the majority of the protocols are lifted.

Visão geral do estudo

Status

Desconhecido

Descrição detalhada

Hypothesis/Research Questions H1: There will be a significant decrease in parental stress from T1 to T2. Exploratory: Investigate the difference in level of parental stress across different demographic subgroups.

H2: Higher level in angry at child, relationship quality and anxiety/depression and less reduction from T1 to T2 in angry at child and anxiety/depression will be associated with less reduction in parental stress from T1 to T2, above and beyond gender, age and number of children in household.

This study is part of a 'The Norwegian COVID-19, Mental Health and Adherence project".

Statistical analysis:

Repeated surveys like the present one typically have a lot of drop out and missing data. Therefore, we will use mixed models instead of paired t-tests, repeated measures ANOVAs, and ordinary linear regression to analyze the data. Mixed models use maximum likelihood estimation, which is the state of the art approach to handle missing data (Schafer & Graham, 2002). Especially if data are missing at random, which is likely in our survey, mixed models give more unbiased results than the other analytic methods (O'Connel et al., 2017).

In preliminary analyses, and for the dependent variables (parental stress) the combination of random effects and covariance structure of residuals that gives the best fit for the "empty" model (the model without fixed predictors except the intercept) will be chosen. Akaike's Information Criterion (AIC) will used to compare the fit of different models. Models that give a reduction in AIC greater than 2 will be considered better (Burnham & Anderson, 2004). The program SPSS 25.0 will be used (IBM Corp, 2018).

First, H1 about decrease in parental stress will be tested by using parental stress as dependent variable in a model using time (T1 period = 0, T2 period = 1) as a predictor. Second, demographic group variables will be added as predictors. Third, the initial (T1) levels of angry at child and anxiety/depression will be added, together with the interactions of these constant covariates with time. Relationship quality during the whole pandemic period, measured at T2, is considered a constant and is thus included as predictor. These interactions represent tests of H2 about the covariates predicting change in parental stress. Finally, the T2 angry at child and anxiety/depression as constant covariates will be added, together with the interactions of these constant covariates with time. These interactions represent tests of H2 about the change in the covariates from T1 to T2 predicting change in parental stress from T1 to T2s.

Relationship quality were assessed with three items: 1) From the beginning of the pandemic have you been more or less satisfied with your relationship? 2) I have had several problems in the relationship with my spouse, 3) I have developed a closer relationships to my spouse.

The Patient Health Questionnaire (PHQ-9)3. This measure is routinely used to assess symptoms of depression in accordance with the diagnostic criteria for major depression disorder and consists of nine items where each is scored on a four-point Likert scale.

The Generalized Anxiety Disorder 7 (GAD-7) was used to obtain symptoms of anxiety and worry, encompassing seven items scored on a four-point Likert scale.

Angry at child was measured with a single item Demographics include gender, age, psychiatric diagnosis and number of children in household.

Possible transformations:

All variables will be assessed in their original and validated format as is recommended practice, as long as this is possible with regards to statistical assumptions underlying the pre-defined analyses (i.e., multiple regression). However, if this is not possible with regards to the statistical assumptions behind the analyses, transformation (e.g., square root or log-transformations) may be needed to apply interval-based methods, alternatively the use of non-parametric tests.

Inference criteria Given the large sample size in this study, the investigators pre-define their significance level: p < 0.01 to determine significance.

Sample size:

The sample size at T1 included 2880 participants. For the present study at T2, all participants will be invited to participate in accordance with the study plan. The data collection period will continue for up to three weeks until as many of the participants at baseline have responded.

Missing data:

Maximum likelihood

Exploratory:

Questions addressed in the future paper which is not pre-specified will be defined as exploratory.

Tipo de estudo

Observacional

Inscrição (Antecipado)

1440

Contactos e Locais

Esta seção fornece os detalhes de contato para aqueles que conduzem o estudo e informações sobre onde este estudo está sendo realizado.

Critérios de participação

Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.

Critérios de elegibilidade

Idades elegíveis para estudo

18 anos e mais velhos (Adulto, Adulto mais velho)

Aceita Voluntários Saudáveis

Não

Gêneros Elegíveis para o Estudo

Tudo

Método de amostragem

Amostra de Probabilidade

População do estudo

The participants are parents in the general population.

Descrição

Inclusion Criteria:

  • Eligible participants are all adults with at least one child, including those of 18 years and above
  • Who are currently living in Norway and thus experiencing identical NPIs, and
  • Who had provided digital consent to partake in the study.

Exclusion Criteria:

  • Children and adolescents (individuals below 18) Adults not residing in Norway during the measurement period

Plano de estudo

Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.

Como o estudo é projetado?

Detalhes do projeto

  • Modelos de observação: Outro
  • Perspectivas de Tempo: Prospectivo

O que o estudo está medindo?

Medidas de resultados primários

Medida de resultado
Descrição da medida
Prazo
Parental stress
Prazo: Data is set to be collected starting from 22th of June. The data collection period will last no longer than three weeks depending on the response to the questionnaire
The Danish Parental Stress Scale is developed as a short measure of parental stress consisting of nine items. Three items from this scale were chosen by a panel of clinical experts, with the aim of avoiding topological overlap: 1) I feel overwhelmed by the responsibility of being a parent, 2) The major source of stress in my life is my child(ren), and 3) It is difficult to balance different responsibilities because of my child(ren).
Data is set to be collected starting from 22th of June. The data collection period will last no longer than three weeks depending on the response to the questionnaire

Colaboradores e Investigadores

É aqui que você encontrará pessoas e organizações envolvidas com este estudo.

Patrocinador

Colaboradores

Investigadores

  • Investigador principal: Miriam S Johnson, PhD, Oslo Metropolitan University
  • Investigador principal: Nora Paulsen Skjerdingstad, University of Bergen
  • Investigador principal: Omid Ebrahimi, University of Oslo & Modum Bad

Datas de registro do estudo

Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados ​​pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.

Datas Principais do Estudo

Início do estudo (Antecipado)

22 de junho de 2020

Conclusão Primária (Antecipado)

13 de julho de 2020

Conclusão do estudo (Antecipado)

13 de julho de 2020

Datas de inscrição no estudo

Enviado pela primeira vez

19 de junho de 2020

Enviado pela primeira vez que atendeu aos critérios de CQ

19 de junho de 2020

Primeira postagem (Real)

22 de junho de 2020

Atualizações de registro de estudo

Última Atualização Postada (Real)

24 de junho de 2020

Última atualização enviada que atendeu aos critérios de controle de qualidade

22 de junho de 2020

Última verificação

1 de junho de 2020

Mais Informações

Termos relacionados a este estudo

Plano para dados de participantes individuais (IPD)

Planeja compartilhar dados de participantes individuais (IPD)?

Não

Informações sobre medicamentos e dispositivos, documentos de estudo

Estuda um medicamento regulamentado pela FDA dos EUA

Não

Estuda um produto de dispositivo regulamentado pela FDA dos EUA

Não

Essas informações foram obtidas diretamente do site clinicaltrials.gov sem nenhuma alteração. Se você tiver alguma solicitação para alterar, remover ou atualizar os detalhes do seu estudo, entre em contato com register@clinicaltrials.gov. Assim que uma alteração for implementada em clinicaltrials.gov, ela também será atualizada automaticamente em nosso site .

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