Sleep quality, sleep patterns and consumption of  energy drinks and other caffeinated beverages among Peruvian college students

Sánchez, Sixto E.; Martínez, Claudia; Oriol, Raphaelle A.; Yanez, David; Castañeda, Benjamín Castañeda; Sánchez, Elena; Gelaye, Bizu; Williams, Michelle A.

doi:10.4236/health.2013.58a2005

Cited by 51 publications

(71 citation statements)

References 26 publications

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“…This result agrees with the findings of Sanchez et al [30] in their study done among Students from Peruvian College (Peru). In the current study, students who took a daytime naps had a higher percentage of poor sleep quality compared to others, but without statistical significant difference.…”

Section: Discussionsupporting

confidence: 93%

Sleep Quality among Medical Students at King Abdulaziz University: A Cross-sectional Study

Nk¹,

Fa²,

Ym³

et al. 2017

J Community Med Health Educ

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Poor sleep quality and Excessive Daytime Sleepiness (EDS) can affect the performance of medical students, their future work as practitioners, and the whole health care system. The study was done to determine the prevalence and predictors of poor sleep quality among medical students in King Abdulaziz University (KAU), Jeddah, Saudi Arabia.A cross-sectional study was done among 576 medical students who were selected through multi-stage stratified random sample. A standardized, confidential, self-administered data collection sheet was utilized. Pittsburg Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Hospital Anxiety and Depression Scale (HADS) were utilized. Descriptive, inferential statistics and multiple logistic regression analysis were done.Results revealed that prevalence of poor sleep quality and EDS among medical students were 70.4% and 37.3%, respectively. Poor sleep quality was associated with students' gender, age, high-Grade Point Average (GPA), anxiety, depression, EDS and drinking caffeinated beverages. Students with poor sleep quality had low ability to attend educational sessions. After controlling confounding, the first predictor of poor sleep quality was having anxiety. Those with morbid anxiety were about 4 times more liable to have poor sleep quality compared to others (aOR=3.92; 95% CI: 2.46-6.24). The second predictor of poor sleeping was enrollment in the basic academic years.It is concluded that poor sleep quality was prevalent among medical students in KAU. Anxiety and enrollment in basic-years were the predictors. Screening programs for sleep disorders, anxiety, and depression among medical students are required. Sleep educational programs, stress management courses and lifestyles modifications are recommended.

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Section: Discussionsupporting

confidence: 93%

Sleep Quality among Medical Students at King Abdulaziz University: A Cross-sectional Study

Nk¹,

Fa²,

Ym³

et al. 2017

J Community Med Health Educ

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“…This classification system is consistent with prior studies conducted globally including Peru. 31,32 We have demonstrated that the Spanish-language version of the PSQI instrument to have good construct validity among pregnant women in Peru. 33 …”

Section: Pittsburgh Sleep Quality Index (Psqi)mentioning

confidence: 90%

Psychometric Evaluation of the Ford Insomnia Response to Stress Test (FIRST) in Early Pregnancy

Gelaye

Barrios

et al. 2016

Journal of Clinical Sleep Medicine

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Study Objectives: To evaluate the construct validity and factor structure of the Spanish-language version of the Ford Insomnia Response to Stress Test questionnaire (FIRST-S) when used in early pregnancy. Methods: A cohort of 647 women were interviewed at ≤ 16 weeks of gestation to collect information regarding lifestyle, demographic, and sleep characteristics. The factorial structure of the FIRST-S was tested through exploratory and confirmatory factor analyses (EFA and CFA). Internal consistency and construct validity were also assessed by evaluating the association between the FIRST-S with symptoms of depression, anxiety, and sleep quality. Item response theory (IRT) analyses were conducted to complement classical test theory (CTT) analytic approaches. Results: The mean score of the FIRST-S was 13.8 (range: 9-33). The results of the EFA showed that the FIRST-S contained a one-factor solution that accounted for 69.8% of the variance. The FIRST-S items showed good internal consistency (Cronbach α = 0.81). CFA results corroborated the one-factor structure finding from the EFA; and yielded measures indicating goodness of fit (comparative fit index of 0.902) and accuracy (root mean square error of approximation of 0.057). The FIRST-S had good construct validity as demonstrated by statistically significant associations of FIRST-S scores with sleep quality, antepartum depression and anxiety symptoms. Finally, results from IRT analyses suggested excellent item infit and outfit measures. Conclusions: The FIRST-S was found to have good construct validity and internal consistency for assessing vulnerability to insomnia during early pregnancy.

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“…[1][2][3] In a recent multi-country sleep study, high levels of poor sleep quality were reported among Peruvian, Thai, Ethiopian, and Chilean university students. [4][5][6][7] Each of the populations studied showed associations between poor sleep and the consumption of stimulant beverages. [4][5][6][7] Taylor and Bramoweth 8 found that 60% of university-age students reported consuming stimulant beverages (e.g., sodas and coffee) to combat daytime sleepiness.…”

mentioning

confidence: 99%

“…[4][5][6][7] Each of the populations studied showed associations between poor sleep and the consumption of stimulant beverages. [4][5][6][7] Taylor and Bramoweth 8 found that 60% of university-age students reported consuming stimulant beverages (e.g., sodas and coffee) to combat daytime sleepiness. 8 Approximately 96% of Peruvian medical students reported regular consumption of caffeinated drinks, 9 and 34% of them reported using energy drinks.…”

mentioning

confidence: 99%

“…21,24,25 University students who use energy drinks and other caffeinated beverages have been associated with more sleep disturbances than those who do not use them. 5,6,21 Although caffeine is the primary ingredient in energy drinks, some popular brands are more caffeinated; Red Bull, for instance, contains 80 mg of caffeine per serving. 26 Energy drinks also contain additional ingredients that may have a stimulating effect.…”

mentioning

confidence: 99%

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Eveningness Chronotype, Daytime Sleepiness, Caffeine Consumption, and Use of Other Stimulants Among Peruvian University Students

Whittier¹,

Sánchez

Castañeda

et al. 2014

Journal of Caffeine Research

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Objectives: The aims of this study were to evaluate patterns of circadian preferences and daytime sleepiness, and to examine the extent to which the consumption of stimulant beverages is associated with daytime sleepiness and evening chronotype among Peruvian college-age students. Methods: A total of 2,581 undergraduate students completed a self-administered comprehensive questionnaire that gathered information about sleep habits, sociodemographic and lifestyle characteristics, and the use of caffeinated beverages. The Morningness-Eveningness Questionnaire (MEQ) and Epworth Sleepiness Scale (ESS) were used to assess chronotype and daytime sleepiness. We used multivariable linear and logistic regression procedures to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for the associations of sleep disorders with sociodemographic and behavioral factors. Results: The prevalence of daytime sleepiness was 35% [95% CI 32.7-36.4] and eveningness chronotype was 10% [95% CI 8.8-11.1%]. Age, sex, cigarette smoking, and alcohol consumption were significantly associated with an evening chronotype. After adjusting for age, sex, smoking, body mass index, and physical activity, students who reported consumption of any stimulant beverages had 1.25 increased odds of excessive daytime sleepiness (OR = 1.25 [95% CI 1.03-1.53]) compared with students who did not consume stimulant beverages. Consumption of any stimulant beverages was not statistically significantly associated with being an evening chronotype (OR = 1.30 [95% CI 0.86-1.96]). Conclusions: Excessive daytime sleepiness and eveningness chronotype are common among Peruvian college students. MEQ scores were associated with age, sex, smoking, and alcohol consumption. Regular stimulant beverage consumption tended to be positively associated with excessive daytime sleepiness.

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Sleep quality, sleep patterns and consumption of energy drinks and other caffeinated beverages among Peruvian college students

Cited by 51 publications

References 26 publications

Sleep Quality among Medical Students at King Abdulaziz University: A Cross-sectional Study

Sleep Quality among Medical Students at King Abdulaziz University: A Cross-sectional Study

Psychometric Evaluation of the Ford Insomnia Response to Stress Test (FIRST) in Early Pregnancy

Eveningness Chronotype, Daytime Sleepiness, Caffeine Consumption, and Use of Other Stimulants Among Peruvian University Students

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