Maternal Anxiety and Depression and Their Association With Sleep Patterns in Children Aged 0-36 Months
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- Enrollment
- 110
- Locations
- 1
- Primary Endpoint
- Spearman Correlation Between Maternal Anxiety and Infant Sleep Status
Study Overview
Brief Summary
In this study, the investigators aimed to investigate the relationship between the sleep patterns of children aged 0-36 months hospitalized in the general pediatrics clinic and their mothers' anxiety and depression levels.
Detailed Description
Sleep problems during infancy and early childhood are common and may affect both child development and family well-being. Maternal psychological status, particularly anxiety and depression, may play an important role in shaping infant sleep patterns through behavioral and environmental mechanisms. Understanding this relationship may help identify families at risk and contribute to early supportive interventions.
This observational study aims to investigate the relationship between sleep patterns of children aged 0-36 months and maternal anxiety and depression levels. Infant sleep characteristics, including total sleep duration, number of night awakenings, and sleep quality, will be assessed using the Brief Infant Sleep Questionnaire-Revised (BISQ-R) completed by mothers.
Maternal psychological status will be evaluated using validated psychological assessment tools. Maternal depression will be assessed using the Beck Depression Inventory (BDI), while maternal anxiety levels will be assessed using the Beck Anxiety Inventory (BAI).
The association between infant sleep parameters and maternal anxiety and depression scores will be analyzed to evaluate the potential relationship between maternal psychological status and infant sleep patterns in children aged 0-36 months. The findings of this study are expected to improve understanding of factors influencing sleep during early childhood and may help inform early supportive strategies for families.
Study Design
- Study Type
- Observational
- Observational Model
- Case Crossover
- Time Perspective
- Cross Sectional
Eligibility Criteria
- Ages
- 1 Month to 36 Months (Child)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •Children aged 0-36 months hospitalized in the general pediatrics clinic and their mothers
Exclusion Criteria
- •Outpatients,
- •Newborns aged 0-29 days,
- •Patients over 3 years of age,
- •Infants diagnosed with chronic diseases,
- •Infants diagnosed sleep disorders,
- •Mothers diagnosed with psychiatric disorders,
- •Mothers receiving regular medical treatment for anxiety and depression disorders
Arms & Interventions
Hospitalized infants (0-36 months) and mothers
Single cohort of mother-infant dyads with infants aged 0-36 months hospitalized in the pediatric inpatient ward. Maternal anxiety and depressive symptoms were assessed using the Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI). Infant sleep characteristics were assessed using the Brief Infant Sleep Questionnaire (BISQ). No intervention was administered.
Outcomes
Primary Outcomes
Spearman Correlation Between Maternal Anxiety and Infant Sleep Status
Time Frame: single assessment at enrollment during inpatient hospitalization
Spearman correlation (rho) between maternal Beck Anxiety Inventory (BAI) total score (0-63 points) and infant total sleep duration (hours) assessed by the Brief Infant Sleep Questionnaire (BISQ) at enrollment during inpatient hospitalization. Unit of measure: Spearman rho (correlation coefficient).
Secondary Outcomes
- Correlation Between Maternal Depression and Infant Sleep Status(single assessment at enrollment during inpatient hospitalization)
- Maternal Anxiety Score by Infant Sleep Disorder Status(Baseline (single assessment at enrollment during inpatient hospitalization))
- Sleep Disorder Proportion by Maternal Sleep Satisfaction(Baseline (single assessment at enrollment during inpatient hospitalization))
Investigators
Şeymanur Uçum
Medical Doctor
Başakşehir Çam & Sakura City Hospital
