Objectives: To assess sleep quality and to examine its related factors among the geriatric population in the northern region of Malaysia. Methodology: A cross-sectional study was conducted. A structured questionnaire consisting of 2 sections including Pittsburgh Sleep Quality Index (PSQI) was used. Data obtained were analysed using Statistical Packages for Social Sciences (SPSS) version 29.0. Descriptive statistics was used to present demographic data, medical conditions data, lifestyle data and PSQI score. Association between independent variable and dependent variables was tested using Pearson Chi-square test. The statistical significance was set at p<0.05. Results: The number of elderly people completing the survey was 392. The overall prevalence rates of poor sleep quality were 57.9% in the total sample. The mean PSQI score was 5.20 ± 1.975. Among the PSQI components, the highest mean score was poor subjective sleep quality (1.06 ± 0.487) and the lowest mean score was use of sleeping medication (0.96 ± 0.509). The finds show an association between age, medical conditions and coffee consumption with PSQI score. Conclusion: More than half of the respondents had poor sleep quality. The study emphasized needs to develop good sleeping habits and initiate a campaign relating to sleep.

Objectives: To assess sleep quality and to examine its related factors among the geriatric population in the northern region of Malaysia. Methodology: A cross-sectional study was conducted. A structured questionnaire consisting of 2 sections including Pittsburgh Sleep Quality Index (PSQI) was used. Data obtained were analysed using Statistical Packages for Social Sciences (SPSS) version 29.0. Descriptive statistics was used to present demographic data, medical conditions data, lifestyle data and PSQI score. Association between independent variable and dependent variables was tested using Pearson Chi-square test. The statistical significance was set at p<0.05. Results: The number of elderly people completing the survey was 392. The overall prevalence rates of poor sleep quality were 57.9% in the total sample. The mean PSQI score was 5.20 ± 1.975. Among the PSQI components, the highest mean score was poor subjective sleep quality (1.06 ± 0.487) and the lowest mean score was use of sleeping medication (0.96 ± 0.509). The finds show an association between age, medical conditions and coffee consumption with PSQI score. Conclusion: More than half of the respondents had poor sleep quality. The study emphasized needs to develop good sleeping habits and initiate a campaign relating to sleep.