0983 PARENTING STRESS IS BETTER PREDICTED BY PARENTS’ SLEEP QUALITY THAN THEIR CHILD’S SLEEP QUALITY, IN A COMMUNITY SAMPLE.

A vast epidemiological study indicated that children’s sleep problems are a parenting stress (PS) risk factor. However, that study did not look at the parents’ sleep problems as a potential predictor of PS. In fact, PS has only been associated with parental sleep difficulties when the child presents a chronic health condition (e.g., developmental disability). The purpose of this study is to examine if the parent and child’s sleep are important predictors of PS in families not reporting salient sleep or health problems with their child. PS and sleep habits of the parent and child were assessed using the Parenting Stress Index-Short Form (PSI-SF), The Pittsburgh Sleep Quality Index (PSQI) and the Child Sleep Health Questionnaire (CSHQ). It is well known that PS is associated to low social support (SS) and socioeconomic status (SES). Consequently, these variables were measured and added to the analyses, using Moi Comme Parent (MCP, social support), the mother’s employment status, highest grade completed and family income. Measures were administered to 89 mothers of children (1mth-5y), recruited during community activities. Correlations between PSI-SF, PSQI and CSHQ total scores, MCP score and socioeconomic variables were computed. A multiple linear regression model was then produced with the significant correlations. No relationship was found between PS and the mother’s employment status. Significant associations were found between PS and the mother’s highest grade completed (r=-0.27; p<0.01), household income (r=-0.25; p<0.01), positivism of the entourage (r=-0.43; p<0.01), child bedtime resistance (r=0.37; p<0.01), parent’s sleep onset latency (SOL, r=0.40; p<0.01) and parent’s total sleep time (TST, r=-0.35; p<0.01). Hierarchical regression analyses revealed that, accounting for SS and SES, parent’s SOL (β=0.25; p<0.05) and parent’s TST (β=-0.19; p<0.05) were significant predictors of PS, whereas children’s sleep could not explain a significant proportion of the variance left, with an adjusted R2 of 0.318 for the model (p<0.01). Our results confirm that, in this non-clinical population, parents’ sleep variables were a significant predictor of PS, whereas the child’s sleep variables weren’t. Future studies and interventions aiming at PS should consider both child’s and parents’ sleep variables. N/A

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