scholarly journals Relationship Between Added Sugar Intake and Sleep Quality Among University Students: A Cross-sectional Study

2019 ◽  
pp. 155982761987047 ◽  
Author(s):  
Sarah A. Alahmary ◽  
Sakinah A. Alduhaylib ◽  
Hibah A. Alkawii ◽  
Mashail M. Olwani ◽  
Reem A. Shablan ◽  
...  
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Life Quality ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Added Sugar ◽  
Added Sugars ◽  
Dietary Recall ◽  
Sugar Intake

Eating foods high in added sugar has recently increased among people of all ages. This is expected to negatively affect health and life quality. This study was conducted to investigate the relationship between added sugar intake and sleep quality among university students. A total of 100 randomly selected female students (19-25 years old) from Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia, participated in the study after applying exclusion criteria. Sample size was calculated with expected correlation of −0.4 between sugar intake and sleep quality, a power of 90%, and a type 1 error of 5%. Participants completed the Food Frequency Questionnaire (FFQ), sleep quality questionnaire, and 24-hour dietary recall. Data were analyzed using IBM SPSS Statistics 25, and the χ2 test was used for measuring the association between added sugar intake and sleep quality, where P <.05 was considered statistically significant. Results showed that only 17% of participants had good sleep. Data of the 24-hour dietary recall showed a significant association (P = .014) between consumption of added sugars and sleep quality. This is the first study to directly report on the effect of higher intake of added sugars on sleep quality. The study concluded that poor sleep quality was significantly related to higher added sugar intake.

scholarly journals Qualidade do sono e sonolência diurna em estudantes universitários: prevalência e associação com determinantes sociais

2021 ◽  
Vol 45 (2) ◽  
Author(s):  
Mayonara Fabíola Silva Araújo ◽  
Xaíze de Fátima de Medeiros Lopes ◽  
Carolina Virginia Macedo de Azevedo ◽  
Diego de Sousa Dantas ◽  
Jane Carla de Souza
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Cross Sectional Study ◽  
Determinants Of Health ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
The University

Abstract: Introduction: Changes in the Sleep/Wake Cycle (SWC) of university students can have consequences on physical, mental and social health. In addition, some behaviors adopted at this stage may be associated with SWC impairment. Objective: Therefore, this study aims to identify which factors of social determinants of health (SDH) are associated with poor sleep quality and excessive daytime sleepiness (EDS) in university students. Method: This is a cross-sectional study that included 298 university students, aged between 18 and 35 years; 73.2% of the students were females and from the countryside of the state of Rio Grande do Norte, Brazil. Data were collected from the following questionnaires: Health and Sleep, Munich Chronotype Questionnaire, Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale. To assess the association of SDH with poor sleep quality and excessive daytime sleepiness, Poisson Regression with robust variance was performed. Result: The prevalence of poor sleep quality and excessive daytime sleepiness among the university students was 79.2% and 51.3%, respectively. Between the intermediate determinants of health, a higher prevalence rate of poor sleep quality was observed in students who reported health problems in the previous month (18.4%), smoked (23.5%), drank stimulating beverages close to bedtime (25.8%) and those who used electronic devices before bedtime during the week (18.4%) when compared to those who did not have these behaviors. Regarding excessive daytime sleepiness, students who justified bedtime during the week and wake-up time at the weekend because of the academic demand showed, respectively, 27% and 34% lower prevalence of EDS than the group that did not have these behaviors. Conclusions: The high prevalence of poor sleep quality and EDS observed among university students was associated to biological factors and most of them, behavioral factors.

scholarly journals Association between Sleep Quality and Duration and Periodontal Disease among University Students: A Cross-Sectional Study

2020 ◽  
Vol 17 (9) ◽  
pp. 3034
Author(s):  
Md Monirul Islam ◽  
Daisuke Ekuni ◽  
Naoki Toyama ◽  
Ayano Taniguchi-Tabata ◽  
Kota Kataoka ◽  
...  
Keyword(s):  
Periodontal Disease ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Pocket Depth ◽  
Cross Sectional ◽  
Japanese University

The purpose of this cross-sectional study was to investigate the association between sleep quality and duration, and periodontal disease among a group of young Japanese university students. First-year students (n = 1934) at Okayama University who voluntarily underwent oral health examinations were included in the analysis. Sleep quality and duration were assessed by the Japanese version of the Pittsburgh Sleep Quality Index. Dentists examined Oral Hygiene Index-Simplified (OHI-S), probing pocket depth (PPD), and percentage of sites with bleeding on probing (BOP). Periodontal disease was defined as presence of PPD ≥ 4 mm and BOP ≥ 30%. Overall, 283 (14.6%) students had periodontal disease. Poor sleep quality was observed among 372 (19.2%) students. Mean (± standard deviation) sleep duration was 7.1 ± 1.1 (hours/night). In the logistic regression analysis, periodontal disease was significantly associated with OHI-S (odds ratio [OR]: 2.30, 95% confident interval [CI]: 1.83–2.90; p < 0.001), but not sleep quality (OR: 1.09, 95% CI: 0.79–1.53; p = 0.577) or sleep duration (OR: 0.98, CI: 0.87–1.10; p = 0.717). In conclusion, sleep quality and duration were not associated with periodontal disease among this group of young Japanese university students.

scholarly journals Association of sociodemografic factors and sleep quality in brazilian university students

2014 ◽  
Vol 23 (1) ◽  
pp. 176-184 ◽  
Author(s):  
Márcio Flávio Moura de Araújo ◽  
Adman Câmara Soares Lima ◽  
Thiago Moura de Araújo ◽  
Vivian Saraiva Veras ◽  
Maria Lúcia Zanetti ◽  
...  
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Linear Trends

The aim of this study was to analyze relationship between sociodemographic factors and poor sleep quality in Brazilian university students. Cross-sectional study, surveyed 701 students in Fortaleza, Ceará, Brazil. We applied a questionnairre with sociodemographic questions and Pittsburgh Sleep Quality Index. We did not identify associations and/or statistically significant linear trends between sleep quality and sociodemographic analyzed factors. However, the analysis found that the relative risk in college aged > 31 years, in those who lived alone and with relatives (other than parents) there is greater vulnerability to poor sleep quality.

scholarly journals Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction

2020 ◽  
Vol 37 (1) ◽  
Author(s):  
Betul Ozcan ◽  
Nurhan Meydan` Acimis
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Smartphone Addiction ◽  
Short Version ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Creative Commons

Objective: Research shows that poor sleep quality and smartphone addiction are common problems among university students. This study was planned to evaluate the quality of sleep in students at Pamukkale University and to investigate its relationship with smartphone addiction. Methods: This cross-sectional study was carried out at the university campus in 2017-2018. Its dependent variable was low sleep quality. Independent variables were smartphone addiction, features related to smartphone addiction, socio-demographic features and other questioned features. The total number of students attending normal education in seven faculties and two colleges for four years was 20862. The minimum sample size of the study was calculated as 1088. Smartphone Addiction Scale-Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) were used. The data were analyzed with the SPSS program. Results: The mean age was of the participants 21.39 ± 2.21. The sleep quality of students with a PSQI total score of more than five was defined as ‘poor’. The frequency of poor sleep quality was 52.4%. The frequency of smartphone addiction was 34.6% according to the SAS-SV scale. It was found that the frequency of poor sleep quality was significantly higher in students with smartphone addiction compared to others. Conclusion: Smartphone addiction was found as one of the risk factors for poor sleep quality. doi: https://doi.org/10.12669/pjms.37.1.3130 How to cite this:Ozcan B, Acimis NM. Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction. Pak J Med Sci. 2021;37(1):206-211. doi: https://doi.org/10.12669/pjms.37.1.3130 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Quality of sleep among university students: effects of nighttime computer and television use

2010 ◽  
Vol 68 (5) ◽  
pp. 720-725 ◽  
Author(s):  
Gema Mesquita ◽  
Rubens Reimão
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Internet Use ◽  
Television Viewing ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Television Use ◽  
The Relationship

This descriptive, cross-sectional study was based on subjective questionnaires that assessed nighttime habits of television viewing and Internet use during weekdays and perceived sleep quality among university students. Sleep perception was measured using the Pittsburgh Sleep Quality Index (PSQI). The study group comprised 710 university students aged 17-25 years. Analysis of sleep perception in relation to internet use revealed that 58.06% of subjects who accessed the internet between 19:00 and 21:00 slept poorly; 71.43% between 19:00 and 22:00; 73.33% between 19:00 and 24:00; and 52.38% between 19:00 and 03:00 (p=0.0251). Concerning the relationship between television exposure and perceived sleep, the groups did not differ from each other (p=0.9303). This study showed that internet use between 19:00 and 24:00 increases the risk of poor sleep among young adults, in comparison with television viewing times.

scholarly journals Sleep quality and daytime sleepiness in university students: prevalence and association with social determinants

2021 ◽  
Vol 45 (2) ◽  
Author(s):  
Mayonara Fabíola Silva Araújo ◽  
Xaíze de Fátima de Medeiros Lopes ◽  
Carolina Virginia Macedo de Azevedo ◽  
Diego de Sousa Dantas ◽  
Jane Carla de Souza
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Social Determinants ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Cross Sectional Study ◽  
Determinants Of Health ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional

Abstract: Introduction: Changes in the Sleep/Wake Cycle (SWC) of university students can have consequences on physical, mental and social health. In addition, some behaviors adopted at this stage may be associated with SWC impairment. Objective: Therefore, this study aims to identify which factors of social determinants of health (SDH) are associated with poor sleep quality and excessive daytime sleepiness (EDS) in university students. Method: This is a cross-sectional study that included 298 university students, aged between 18 and 35 years; 73.2% of the students were females and from the countryside of the state of Rio Grande do Norte, Brazil. Data were collected from the following questionnaires: Health and Sleep, Munich Chronotype Questionnaire, Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale. To assess the association of SDH with poor sleep quality and excessive daytime sleepiness, Poisson Regression with robust variance was performed. Result: The prevalence of poor sleep quality and excessive daytime sleepiness among the university students was 79.2% and 51.3%, respectively. Between the intermediate determinants of health, a higher prevalence rate of poor sleep quality was observed in students who reported health problems in the previous month (18.4%), smoked (23.5%), drank stimulating beverages close to bedtime (25.8%) and those who used electronic devices before bedtime during the week (18.4%) when compared to those who did not have these behaviors. Regarding excessive daytime sleepiness, students who justified bedtime during the week and wake-up time at the weekend because of the academic demand showed, respectively, 27% and 34% lower prevalence of EDS than the group that did not have these behaviors. Conclusions: The high prevalence of poor sleep quality and EDS observed among university students was associated to biological factors and most of them, behavioral factors.

scholarly journals Sleep quality is inversely related to body mass index among university students

2019 ◽  
Vol 65 (6) ◽  
pp. 845-850
Author(s):  
Jun Wang ◽  
Yan Chen ◽  
Yuelong Jin ◽  
Lijun Zhu ◽  
Yingshui Yao
Keyword(s):  
Body Mass Index ◽  
University Students ◽  
Sleep Quality ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Female Students ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Prevalence Of Obesity

SUMMARY OBJECTIVE: The purpose of this study was to investigate the prevalence of overweight and obesity and its association with sleep quality in university students from the Anhui province in China. METHODS: A cross-sectional study was conducted in China with 1328 participants. The prevalence of underweight and obesity in university students was estimated according to the reference working group on obesity in China. The sleep quality was evaluated using the standard PSQI (Pittsburgh Sleep Quality Index). RESULTS: This study included 470 male and 858 female students from a university in Anhui; 4.4% of the females and 17.7% of the males were overweight or obese. The prevalence of obesity in males was significantly higher than in females, and the prevalence of obesity in higher years was greater than in other years (p<0.05). In general, the mean score for sleep quality was 4.91±2.67; 36.5% of male and 39.1% of female students had poor sleep quality (PSQI score >5). Among the seven components of sleep quality, sleep duration and the use of sleep medication showed significant differences between male and female students and different years (p<0.05). An obvious correlation was found between sleep quality and body mass index (BMI)(p<0.000) in females who took hypnotic drugs. CONCLUSION: This study suggests that the sleep quality of females is probably associated with their BMI. College students are a special group of young adults whose cause of poor sleeping quality and BMI may be significant to study, so the health status of university students can be improved.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

scholarly journals Association between Depression, Lifestyles, Sleep Quality, and Sense of Coherence in a Population with Cardiovascular Risk

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 585
Author(s):  
Aina Riera-Sampol ◽  
Miquel Bennasar-Veny ◽  
Pedro Tauler ◽  
Mar Nafría ◽  
Miquel Colom ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Sleep Quality ◽  
Mediterranean Diet ◽  
Sense Of Coherence ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Protective Effects ◽  
Cross Sectional ◽  
Health Related ◽  
The Mediterranean

People with cardiovascular risk have more depression than the general population. Depression and cardiovascular risk have been commonly linked to lower sense of coherence (SOC) values, unhealthy lifestyles, and poor sleep quality. The aim of this study was to analyze the association between depression, health-related lifestyles, sleep quality, and SOC in a population with cardiovascular risk. A cross-sectional study was conducted in 310 participants (aged 35–75 years) with cardiovascular risk. Sociodemographic and anthropometric characteristics, cardiovascular risk, SOC score, depression levels, sleep quality, and lifestyles (physical activity, diet quality (measured as the adherence to the Mediterranean diet), and tobacco and alcohol consumption) were determined. The regression analysis showed significant associations between depression levels and sex (odds ratio (OR): 2.29; 95% CI: 1.29, 4.07), diet (OR: 0.85; 95% CI: 0.73, 0.99), body mass index (BMI) (OR: 1.06; 95% CI: 1.01, 1.12), cardiovascular disease (CVD) (OR: 2.55; 95% CI: 1.18, 5.48), sleep quality (OR: 0.26; 95% CI: 0.15, 0.46), and SOC (OR: 0.96; 95% CI: 0.94, 0.98). Protective effects of male sex, a lower BMI, no CVD, a higher adherence to the Mediterranean diet, a high sleep quality, and a higher SOC were found. In conclusion, among lifestyles determined, only diet was associated with depression levels. SOC and sleep quality were also found as significant predictors for depression levels.

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

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