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Explaining Differences Between Sibling Relationships in Schizophrenia and Nonclinical Sibling Relationships.

ABSTRACT: Background:Good sibling relationships in adulthood are known to be a protective factor for mental health. The quality of these relationships is influence by the sibship's inherent characteristics (e.g., birth order, number of brothers and sisters, sex composition, age gaps). The present study explored whether these same determinants can help to explain how individuals experience their relationship with a sibling who has been diagnosed with schizophrenia. Method:A total of 374 adults completed the Adult Sibling Relationship Questionnaire, a scale that probes the quality of these relationships on three dimensions: warmth, conflict, and rivalry. We also collected sociodemographic data and information about family structure from each of the participants. Participants were divided into two matched groups: nonclinical sibling group (n = 187) or schizophrenia sibling group (n = 187). Regression analyses were conducted to extract possible predictors of sibling relationship quality for each group. Further regression analyses then focused exclusively on relationships with an ill sibling, in order to study the role of disease-related variables in explaining each of the three dimensions. Results:Results showed that sociodemographic and family structure data explained a significant proportion of variance in the sibling relationship, but solely for nonclinical siblings. When participants had a sibling with schizophrenia, we found that disease-related variables (symptom severity, frequency of treatment) also had to be included to predict the conflict dimension. Conclusions:Our results suggest that feelings of conflict experienced by the schizophrenia sibling group were fueled by the symptoms the ill person displayed. Healthy brothers and sisters probably have only a poor understanding of these symptoms. This could be improved by supporting them and helping them learn more about the disease. Future research will have to prove that providing such support for siblings does indeed improve the quality of their sibling relationships and, by so doing, enhance the wellbeing of both members of a sibling dyad.

SUBMITTER: Plessis L

PROVIDER: S-EPMC7180867 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Explaining Differences Between Sibling Relationships in Schizophrenia and Nonclinical Sibling Relationships.

Plessis Léa L Wilquin Hélène H Pavani Jean-Baptiste JB Bouteyre Evelyne E

Frontiers in psychiatry 20200417

<h4>Background</h4>Good sibling relationships in adulthood are known to be a protective factor for mental health. The quality of these relationships is influence by the sibship's inherent characteristics (e.g., birth order, number of brothers and sisters, sex composition, age gaps). The present study explored whether these same determinants can help to explain how individuals experience their relationship with a sibling who has been diagnosed with schizophrenia.<h4>Method</h4>A total of 374 adul ...[more]

PMID: 32362849

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Project description:BackgroundThe principal aim of this study was to explore if biological differences between men and women can be explained by gendered mechanisms.MethodsWe used data from the 1958 National Child Development Study, including all the living subjects of the cohort at the outcome collection wave (44-45 years). We explored several biomarkers as outcomes: systolic blood pressure, triglycerides, LDL cholesterol, HbA1c, CRP, and cortisol. Three conceptualizations of gender have been used to define methodological strategies: (a) Gender as an individual characteristic; (b) Gender as an effect of sex on socio-behavioural characteristics; (c) Gender as an interaction between sex and the social environment, here the early-life social environment. We estimated the total effect of sex and the proportion of total effect of sex at birth eliminated by gender, measured by 3 different ways according to these 3 concepts, using g-computation.ResultsThe average level of each biomarker was significantly different according to sex at birth, higher in men for cardiometabolic biomarkers and higher in women for inflammatory and neuroendocrine biomarkers. The sizes of the differences were always smaller than one standard deviation but were larger than differences due to early-life deprivation, except for CRP. We observed gender mechanisms underlying these differences between men and women, even if the mediation effects were rarely statistically significant. These mechanisms were of three kinds: (1) mediation by socio-behavioural characteristics; (2) attenuation by gendered mechanisms; (3) interaction with early social environment. Indeed, we observed that being born into a deprived rather than non-deprived family increased metabolic and inflammatory biomarkers levels more strongly in females than in males.ConclusionsThe biological differences between men and women seem to not be purely explained by biological mechanisms. The exploration of gender mechanisms opens new perspectives, in terms of methodology, understanding and potential applications.

Dataset Information

Explaining Differences Between Sibling Relationships in Schizophrenia and Nonclinical Sibling Relationships.

Publications

Explaining Differences Between Sibling Relationships in Schizophrenia and Nonclinical Sibling Relationships.

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