Ethical approval was granted by the Ethical Committee of Batterjee Medical College, Jeddah, Saudi Arabia (Reference No. RES-2025-0032). Participants received an online information sheet detailing the study’s aims, procedures, and confidentiality measures. Electronic informed consent was obtained prior to participation in the study. All responses were anonymized, securely stored, and accessible only to the research team. This study adhered to the principles of the Declaration of Helsinki and applicable data protection regulations.
Study design
The study employed a multidimensional assessment approach encompassing three distinct yet interrelated domains: psychological well-being, sleep patterns, and eating behaviors. Each domain was evaluated using validated, culturally adapted questionnaire items specifically designed to capture constructs such as mental health symptoms, sleep disturbances, and changes in eating behavior during Ramadan fasting. This integrated framework facilitates a comprehensive evaluation of behavioral and psychological adaptations, offering insights beyond unidimensional assessments. This study employed a descriptive cross-sectional design to assess psychological well-being, sleep disturbances, and changes in eating behavior during Ramadan among adults in Saudi Arabia. The survey was conducted in March 2025, during the fasting month of Ramadan. This design is commonly used to explore health-related patterns linked to fasting and lifestyle modifications.
Study area and population
Unlike many previous studies that focused on single cities, this study targeted adults across multiple regions of Saudi Arabia, enhancing the representativeness and geographic diversity. Participants were recruited from the Western, Central, and other regions of the Kingdom. Eligible participants were Muslim adults aged 18–60 years residing in Saudi Arabia who actively fasted during the month of Ramadan. The exclusion criteria were refusal to participate, not fasting, residence outside Saudi Arabia, and age outside the specified range (Figure 1). Participants with chronic illnesses or acute diseases were not specifically excluded; however, medical history was not collected. The questionnaire also did not include items to identify pregnant or lactating women; hence, their participation status in the study sample is unknown.
Sampling method and sample size
A convenience sampling technique was used to recruit participants from across the country through online platforms and social media networks. The sample size was calculated based on an assumed prevalence of 50%, 95% confidence level, and 5% margin of error14,15. Using these parameters, the minimum required sample size was 384. This method was chosen for its practicality and feasibility within the study context, enabling efficient data collection from readily accessible participants. The survey introduction clearly explained the research objectives and specified the target population as Muslim adults aged 18 to 60 years residing in Saudi Arabia and fasting during Ramadan. Only participants who met these inclusion criteria and provided informed consent by clicking the "Consent" button were able to proceed with the survey. The first section of the questionnaire collected demographic information, including age group, place of residence, and other relevant variables, allowing verification of participant eligibility and assessment of sample diversity. This approach relied on self-selection based on clearly stated eligibility criteria and informed consent, which helped to target the intended population despite the open online distribution via Google Forms. A total of 464 participants from Saudi Arabia completed the survey, exceeding the required sample size and improving statistical precision.
Data collection tool and instrument adaptation
Data were collected using a structured questionnaire adapted from the instrument developed by Sulaiman et al.16. To address the substantial cultural and contextual differences between the original Nigerian population during COVID-19 and the current Saudi adult population fasting during Ramadan, a comprehensive adaptation process was undertaken. The original instrument was translated into Arabic and then back-translated into English (Forward–Backward Translation) by independent bilingual experts to ensure linguistic and conceptual equivalence across Arabic-speaking participants from various Saudi regions. The contextual modifications were adjusted to reflect culturally relevant behaviors and experiences specific to Ramadan fasting in Saudi Arabia, while preserving the original instrument’s constructs and domains. Also, two experts specializing in behavioral sciences and public health reviewed the adapted instrument to assess cultural appropriateness, clarity, and content relevance. Besides, a pilot study was conducted with 20 participants from diverse Saudi regions to evaluate clarity, cultural relevance, and comprehension. Feedback from this pilot led to minor revisions to improve the instrument’s suitability. The questionnaire consisted of closed-ended items with categorical and frequency-based response options assessing sociodemographic variables, psychological well-being, sleep patterns, and eating behaviors during Ramadan. Eating behaviors were self-reported based on frequency of overeating, eating without hunger, and snacking. No dietary normalization or control was applied. The questionnaire was distributed online using Google Forms. Participation was voluntary, anonymous, and based on informed consent obtained from the participants.
Construct validity
Although formal psychometric revalidation (e.g., factor analysis) was not performed for the adapted instrument, the rigorous adaptation process emphasized maintaining the original instrument’s conceptual framework. The combined expert review and pilot testing provided preliminary evidence supporting the instrument’s construct validity and suitability for assessing psychological well-being, sleep disturbances, and eating behaviors in the Saudi Ramadan fasting context.
Statistical analysis
Data were exported from Google Forms, cleaned, coded, and analyzed using IBM SPSS Statistics (version 26). Descriptive statistics (frequencies, percentages, means, and SDs) were used to summarize the participant characteristics and outcome measures. Chi-square tests were used to examine associations between sociodemographic factors and changes in psychological, sleep, and eating behaviors. T-tests and ANOVA were applied where relevant to compare group means. Multivariate logistic regression was used to identify the independent predictors of psychological distress, sleep disturbances, and altered eating patterns. A p-value <0.05 was considered statistically significant.