Description

This study aims to investigate the dual effect of Cognitive Behavioral Therapy for Insomnia (CBTi) on both sleeping patterns and dietary habits in Lebanese adults with insomnia. Sleep patterns and dietary habits are known to be closely interconnected, with dysregulated sleep often associated with poor diet quality and increased snacking. Conversely, the types of nutrients consumed can influence hormonal balance and circadian rhythm, impacting overall sleep quality.

Participants meeting the criteria for insomnia will be recruited and randomly assigned to either the intervention group receiving CBTi or the control group receiving basic sleep hygiene education. Baseline assessments will include comprehensive sleep evaluations using validated measures such as the Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and actigraphy for objective sleep parameters over 7 days prior to the intervention. Additionally, participants will complete 7-day 24-hour diet recall sheets to assess dietary habits. Physical activity assessments will also be conducted using the short form of the International Physical Activity Questionnaire (IPAQ). Emotional eating will also be assessed through an 18-item emotional eating questionnaire (EEQ).Patients will also complete the PHQ-4 (Patient Health Questionnaire 4) questionnaire for assessment of depression and anxiety.

During the intervention phase, participants in the treatment group will undergo Cognitive Behavioral Therapy for insomnia (CBTi) aimed at improving sleep quality, while those in the control group will receive placebo sleep intervention that consists of sleep hygiene tips. Post-intervention assessments will mirror baseline evaluations, allowing for the comparison of changes in sleep patterns and dietary habits between the two groups.

• Data collection involves the use of physical questionnaires and actigraphy devices. Paper-based data is securely stored in a locked drawer accessible only to research personnel. Actigraphy data is retrieved using specialized software, and any invalid or corrupt data prompts reassessment. Regular audits ensure data accuracy.
• Data entered into the registry undergoes thorough checks for consistency and adherence to predefined rules. Any discrepancies are flagged for further investigation and resolution.
• Validated measures such as the Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI) are used alongside actigraphy to ensure accurate sleep data. Multiple sources are cross-referenced to enhance data accuracy.
• Variables include diet parameters (e.g., Late-Night Eating occasions, Eating Period) and sleep parameters (e.g., Bed Time, Total Sleep Time). Each variable is clearly defined with coding information and normal ranges where applicable.
• Recruitment occurs via snowball sampling and data collection through physical questionnaires. Data is digitized and tabulated for analysis using SPSS (Statistical Package for Social Sciences). Actigraphy data is analyzed using specialized software. Adverse events are reported and managed according to established procedures.
• Sample size assessment to specify the number of participants: A total of 40 participants will be recruited for the study to ensure adequate statistical power.
• Plan for missing data: Regular audits and checks allow early identification of missing data. Participants with missing data are prompted to provide the necessary information, or alternative participants are recruited.
• Statistical analysis plan: Statistical analyses include Wilcoxon signed-rank tests to assess pre-post intervention improvements, Spearman bivariate analysis to explore correlations between diet and sleep parameters, and Mann-Whitney tests to compare intervention and control group outcomes.