The prevalence of adult overnutrition in Indonesia increased from 26,3% to 35,4% from 2013 to 2018. Poor sleep quality is one of the factors of overnutrition. Poor sleep quality increases appetite ...and decreases energy expenditure, which leads to weight gain. Sleep quality has also worsened during the COVID-19 pandemic. This study aimed to examine the relationship between sleep quality and the incidence of overweight/obesity in adults post-COVID-19. The design of this study was cross-sectional, and an online survey was used. The questionnaire included the current weight, height, and sleep quality using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Data were collected from June to August 2022 in Indonesia, using convenience sampling. A Total of 148 participants completed the questionnaire. The association was analyzed using the Chi-square software. This study found 58,8% of the subjects had poor sleep and 23,6% were overweight/obese. Age, sex, education level, occupation, and marital status were associated with sleep quality. A higher proportion of poor sleep quality was found among overweight/overnutrition participants, but no association was found. In conclusion, no association was found between sleep quality and overweight or obesity. Most subjects had poor sleep quality; thus, further intervention is needed to improve sleep quality.
HIV is a chronic condition that requires ongoing medical management, and sleep disturbances are common among individuals living with the virus. By examining the relationship between the duration of ...illness and sleep quality, healthcare professionals can gain insights into the unique challenges faced by HIV patients and develop targeted interventions to address their specific sleep-related needs. This study aims to find out the relationship between the illness duration and the quality of sleep among people living with HIV/AIDS. This research used an observational research design using a cross-sectional approach. 128 HIV patients on Balai Kesehatan Masyarakat Wilayah Semarang were involved in using purposive sampling techniques. The data was gathered with medical records and the Pittsburgh Sleep Quality Index (PSQI). Spearman rank correlations were used to analyze the data. This study has been declared ethically appropriate by the Health Research Ethics Committee faculty of Nursing Universitas Islam Sultan Agung. The results found a relationship between the illness duration and quality of sleep where a p-value of 0.019 < α (0.05) with a contingency coefficient value of 0.208. The length of diagnosis and sleep quality have a strong correlation. Nurses and other healthcare providers need to provide interventions for PLHIV to improve sleep quality.
AIM: This research was carried out to investigate the effect of Benson relaxation techniques on the quality of sleep in cancer patients. METHODS: This research was a quantitative research with ...quasi-experimental pre- and post-test design with control group. Research conducted in the room Class 3 Bougainvillea and Teratai RSUD Prof. Dr. Margono Soekarjo Purwokerto. The sample in this study was 20 respondents of the intervention group and 20 respondents of the control group. The intervention group received 6 times Benson relaxation intervention with frequency 3 times a day for 2 days and the control group was given standard care. The data were collected from January to February 2021. Quality of sleep was measured before and after the intervention using the Pittsburgh quality of sleep index (PSQI) questionnaire. The hypothesis test was performed using Mann–Whitney U-test aiming to measure the effect size using d Cohen. RESULTS: The results obtained mean values for PSQI score with median (min-max) intervention group 3.50 (2.00–7.00) and control group 0.50 (−2.00–3.00) and the results obtained p = 0.001. Clinically and statistically, there was a significant effect of Benson relaxation on decreasing PSQI score. The effect size test results in 2.33, which means that Benson relaxation has a great effect on the decrease in PSQI score. CONCLUSION: Benson relaxation clinically and statistically affects the decrease in PSQI score of cancer patients recommended in nursing interventions as one of the complementary therapies.
Introduction: Pregnancy, as one of the most important periods in a woman's life, has many effects on the physical, psychological and functional condition of women. These changes can affect the ...quality of life and sleep in pregnant women. Exercising during pregnancy can have positive effects on pregnant women. Therefore, the present study was performed with aim to examine the effect of Pilates exercise on the quality of life and sleep in pregnant women. Methods: This double-blind randomized clinical trial study was performed in 2020 on 60 pregnant women who referred to health centers in Shahrekord. The participants were randomly divided into the intervention and control groups. The pregnant women in the intervention group were required to participate in two Pilates sessions per week for 12 weeks from 20th weeks of pregnancy. At the end of the study (week 38), pregnant women completed the SF-36 quality of life and Petersburg sleep quality questionnaires. Data were analyzed using SPSS software (version 23) and t-test and Mann-Whitney test. P<0.05 was considered statistically significant. Results: In this study, Pilates had a positive effect on the quality of sleep (P<0.08) and life of pregnant women (P<001). Conclusion: Considering the positive effects of Pilates exercises on the quality of life and sleep and the lack of negative effects reported in this study, Pilates during pregnancy can be suggested to pregnant women.
How blue light affect sleep Mikulska, Julia; Skoczylas, Kamila; Rokicki, Sebastian ...
Journal of education, health and sport,
06/2023, Letnik:
37, Številka:
1
Journal Article
Recenzirano
Odprti dostop
Many external factors affect human sleep. One of them is visible light. Its effect on the human body consists in synchronizing the biological clock in the suprachiasmatic nuclei of the hypothalamus ...with the 24-hour solar cycle. The short fraction of light waves perceived by humans as blue waves is the strongest factor that synchronizes the circadian system, which maintains the internal homeostasis of many biological and psychological rhythms. This impact depends on the amount, duration and time of exposure to blue light during the day. Exposure to blue light during the day is important for inhibiting the secretion of melatonin, a hormone produced by the pineal gland and playing a key role in entraining the circadian rhythm. While exposure to blue light is essential for maintaining the body's well-being, alertness, and cognitive abilities during the day, chronic exposure to low-intensity blue light right before bedtime can have serious consequences for sleep quality, circadian phase, and cycle duration. That is why the right amount and the right time of exposure to blue light are so important.
Background: In human life, periods of activity and rest alternate. To survive, human beings need to work and every day properly we need sleep. The quality of sleep strongly influences psychological ...and physical health and other measures of well-being. Methodology: This was a cross-sectional study done in Kasturba Medical College, Mangalore among 300 medical undergraduate students using a questionnaire that consisted of general participant information and PSQI to assess the quality of sleep, GAD-7 scale to assess the level of anxiety, need for cognition scale. The results were expressed in the form of tables and graphs using SPSS V 25.0. The association between quality of sleep and anxiety was analyzed by using the Chi-square test and a p-value <0.05 was considered statistically significant. Results: Out of the total 300 students, 106(35.5%) of the students had good quality sleep,112(37.3%) of them had minimal anxiety, 92(30.7%) had mild anxiety,57(19%) had severe anxiety and 39(13%) had moderate anxiety. It was seen that there is an increased number of students with mild, moderate, and severe anxiety among poor-quality sleepers than those with good-quality sleep. Conclusion: Most of the medical undergraduate students have poor- quality sleep. Students with poor-quality sleep have increased anxiety levels compared to those with good-quality sleep. The cognitive function in students with poor quality of sleep is found to be higher than those with good-quality sleep.
Background: Caffeine is extensively utilized as a stimulant of the central nervous system by more than 80% of the world’s population. About 94% of medical students are reported using caffeine which ...is likely to have a detrimental impact on sleep quality. The purpose of the study was to evaluate the relationship between caffeine consumption and sleep quality among non-obese. undergraduate medical students
Subjects and methods: An Observational cross-sectional comparative study was carried out at Nishtar Medical University, Multan during the months of November and December 2022.Total 83, both male and female, non-obese undergraduate medical students (18-23 years old, BMI=18.5-24.9) selected by simple random sampling were included in this study, and they were divided into 3 groups on the basis of low (58 ± 29 mg/day), moderate (143±25 mg/day) or high (351±139 mg/day) caffeine consumption daily. Caffeine Consumption Questionnaire (CCQ) and Pittsburgh Sleep Quality Index Scale (PSQI) were used to assess the daily caffeine consumption (mg/day) and sleep quality, respectively. IBM SPSS-26 was used for data analysis. Mann-Whitney U test and Spearsman’s rho correlation were applied.
Results: PSQI scores were high 11(8─16) in highly caffeinated participants, moderate 7(5─9) in moderately caffeinated participants, and low 3(1─6) in low caffeinated 3(1─6) participants (p=0.000). Low-caffeinated subjects had lower PSQI scores compared to moderately and highly caffeinated subjects (p=0.000 and p=0.000, respectively). PSQI scores in moderately caffeinated were also less as compared to highly caffeinated (p=0.000). Within the low caffeinated, moderately caffeinated, and highly caffeinated subjects caffeine consumption was positively correlated to PSQI scores (r=0.529, p=0.004), (r=0.579, p=0.002), (r=0.592, p=0.001) respectively.
Conclusion: Increase in Caffeine consumption reduces sleep quality, implying that caffeine consumption and sleep quality are inversely related to each other.
Background and objective: Tobacco consumption is one of the hazardous factors that affect people’s quality of life and quality of sleep. This study aimed to compare components quality of sleep in ...physically active and inactive people tobacco consumers. Methods: Tobacco consumers in Shiraz were the statistical population of this comparative study. That 470 people of them Participated in the study. Pittsburgh sleep quality questionnaire (PSQI) was used for data collection. Results: physically active tobacco consumers compared with inactive tobacco consumers obtained significantly better scores in total PSQI score (p = 0.006) and subscales such as daytime dysfunction (p = 0.007), sleep duration (p = 0.002), sleep latency (p = 0.01), subjective sleep quality (p = 0.03). Conclusion: Exercise and physical activity can have a positive effect on the quality of sleep in tobacco consumers. Findings can inform interventions designed to improve sleep quality via increasing opportunities for exercise among smokers.
Background and purpose: Patients undergoing hemodialysis experience many problems, both physically and mentally, which lead to low quality of sleep, and subsequent changes in the quality of their ...life. In addition, dialysis adequacy plays a pivotal role in the quality of their life. Therefore, the present study was conducted to determine the relationship between dialysis adequacy and quality of life with the mediating effect of sleep quality. Materials and methods: A descriptive, analytical, correlational study was performed on 208 patients undergoing hemodialysis in medical education centers of Mazandaran using head count sampling. The implemented tools included demographic information checklist, WHOQOL quality of life questionnaires, Pittsburgh sleep quality (PSQI), and dialysis adequacy checklist. The data were analyzed using SPSS V22 and performing the statistical tests of t-test (comparing the mean of two groups), analysis of variance (comparing the mean of more than two groups), and Pearson correlation (to check the correlation between two quantitative variables). Multiple linear regression was used to identify factors affecting the score of dependent variables and to control confounding variables. Structural equation analysis was also used to investigate the relationship between dialysis adequacy and quality of life with regard to the mediating effect of sleep quality. Results: The mean and standard deviation of quality of life, sleep quality, and dialysis adequacy were 48.43±17.14, 5.52±3.46, and 1.28±0.30, respectively. Based on the results of correlation coefficient and structural equations, no statistically significant relationship was found between dialysis adequacy and quality of life (P=0.114). There was a significant inverse relationship between dialysis adequacy and the score of sleep quality (a score of less than 5 is desirable) (r=0.15, P=0.034), so that the quality of sleep improved as the dialysis adequacy increased. There was a statistically significant and inverse relationship between sleep quality score and quality of life (r=-0.53, P<0.001) so that improvement in the quality of sleep contributed to the improvement in the quality of life. Conclusion: Sleep quality, as a mediator factor which is influenced by the adequacy of dialysis, affects the overall quality of life and improves the quality of life in dialysis patients.
