BackgroundOne of the most effective measures regarding improving women's health is to promote healthy lifestyle behaviors. This study aimed to investigate the relationship between health-promoting behaviors and sleep quality among a sample of Saudi menopausal women.MethodsA descriptive cross-sectional study was used to collect data from 410 Saudi postmenopausal women visiting primary healthcare care centers located in Sakaka, Jouf, Saudi Arabia, using the Menopause Rating Scale (MRS), Health-Promoting Lifestyle Profile II (HPLPII) and Pittsburgh Sleep Quality Index (PSQI).ResultsThe mean age of the study participants was 52.60 ± 4.65 years, the study findings highlighted that among all the HPLP domains, the highest mean score was observed for spiritual growth (24.00 ± 6.60) whereas the lowest score was observed for physical activity (16.18 ± 1.8). Statistically significant negative relations between the total score of HPLP and sleep quality score and menopausal symptoms (p < 0.001, p < 0.005), respectively. Total scores of lifestyle, health responsibility, and stress management were significant differences between participants with good and poor sleep quality. Being overweight/obese, physically inactive, having a chronic illness and poor sleep quality were predictors influencing health-promoting behavior.ConclusionHealth-Promoting Lifestyle Profile II was more obvious in the good sleeper in form of health responsibility and stress management. Being overweight and or obese, having a chronic illness, and having poor sleep quality were the significant factors influencing health-promoting behaviors. Designing and performing educational interventional plans are crucial to create motivation toward a healthy lifestyle and improve the quality of their sleep.
Abstract:The aim of this study was to investigate the effect of mindfulness based intervention program on anxiety and depressive symptoms among pregnant women. A Quasi-experimental design was used for this study. This study was conducted at antenatal outpatient clinic at El-Manial Educational University Hospital-Cairo University. A purposive sample consisted of 30 pregnant women with high risk for anxiety and depressive symptoms as confirmed by senior obstetrician according to screening sheet for high risk pregnant women. The sample was divided randomly into two groups; study and control groups (15 each). Three tools were used to collect the data for the present study; a) Personal Data Sheet; b) Edinburgh Postnatal Depression Scale; and c) Perceived Stress Scale. The sample was divided into two groups, fifteen pregnant women as the study group and fifteen pregnant women as control group. Aconstructed mindfulness based intervention program was developed by the researchers and implemented to the study group in ten sessions that were held twice weekly, and each session ranged from 60 to 90 minutes. The main study findings revealed that, there was a statistically significant difference between study and control groups in the reduction of anxiety and depressive symptoms. The study concluded that mindfulness based intervention program was effective with pregnant women concerning the reduction of the anxiety and depression. The study recommended that, there is a great need for performing long-term follow-up in order to evaluate the effects of Mindfulness based intervention program on different pregnancy-related outcomes such as emotional well-being, postnatal depression, and mother-infant relationships.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.