scholarly journals Motivations Influencing Caffeine Consumption Behaviors among College Students in Korea: Associations with Sleep Quality

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 953 ◽  
Author(s):  
Jinkyung Choi
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Smoking Status ◽  
Health Benefits ◽  
Coffee Consumption ◽  
Soft Drinks ◽  
Poor Sleep ◽  
Tea Consumption ◽  
Caffeine Consumption ◽  
Beverage Consumption

Caffeinated beverages are a part of daily life. Caffeinated beverages such as coffee, tea, energy drinks, and soft drinks are easy to purchase and are frequently consumed by young college students. Moreover, smoking influences the consumption of caffeinated beverages. The concentration of caffeine in these products is an attractive factor for individuals that desire the effects of caffeine; however, abusing such products may lead to poor sleep quality. The motivations that drive caffeinated beverage consumption were investigated in this study through a survey. Self-reported questionnaires were distributed on campus to students enrolled at a university in Korea. The motivations of the students for consuming each caffeinated beverage and their sleep quality were investigated. The results of exploratory factor analysis showed the motivations for caffeinated beverage consumption were alertness, taste, mood, socialization, health benefits, and habit. The motivations for consuming each caffeinated beverage product were different. For instance, coffee consumption was motivated by a desire for alertness (B = 0.107, SE = 0.049, t = 2.181, p < 0.05) and by habit (B = 0.345, SE = 0.046, t = 7.428, p < 0.001), whereas tea consumption was influenced by socialization (B = 0.142, SE = 0.060, t = 2.357, p < 0.05). Energy drink consumption was motivated by a desire for alertness (B = 0.100, SE = 0.034, t = 2.966, p < 0.01) and health benefits (B = 0.120, SE = 0.051, t = 2.345, p < 0.05), while the consumption of soft drinks was not motivated by any specific factors. Caffeinated beverage consumption did not show a significant relationship with sleep quality, although the general sleep quality of the respondents was poor. Smoking status showed significant differences in coffee and tea consumption as well as sleep quality. Smokers had a higher intake of coffee and a lower intake of tea than non-smokers. No interaction effect between smoking and coffee on sleep quality was found. Labeling detailing the amount of caffeine in products is necessary and a cautionary statement informing consumers that smoking cigarettes enhances the effects of caffeine should be included.

scholarly journals The Epidemiology of Sleep Quality and Consumption of Stimulant Beverages among Patagonian Chilean College Students

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Juan Carlos Vélez ◽  
Aline Souza ◽  
Samantha Traslaviña ◽  
Clarita Barbosa ◽  
Adaeze Wosu ◽  
...  
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Beverage Consumption ◽  
Study Participants ◽  
Self Administered Questionnaire

Objectives. (1) To assess sleep patterns and parameters of sleep quality among Chilean college students and (2) to evaluate the extent to which stimulant beverage use and other lifestyle characteristics are associated with poor sleep quality.Methods. A cross-sectional study was conducted among college students in Patagonia, Chile. Students were asked to complete a self-administered questionnaire to provide information about lifestyle and demographic characteristics. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality. In addition, students underwent a physical examination to collect anthropometric measurements.Results. More than half of students (51.8%) exhibited poor sleep quality. Approximately 45% of study participants reported sleeping six hours or less per night and 9.8% used medications for sleep. In multivariate analysis, current smokers had significantly greater daytime dysfunction due to sleepiness and were more likely to use sleep medicines. Students who reported consumption of any stimulant beverage were 1.81 times as likely to have poor sleep quality compared with those who did not consume stimulant beverages (OR:1.81, 95% CI:1.21–2.00).Conclusions.Poor sleep quality is prevalent among Chilean college students, and stimulant beverage consumption was associated with the increased odds of poor sleep quality in this sample.

scholarly journals The Epidemiology of Sleep Quality, Sleep Patterns, Consumption of Caffeinated Beverages, and Khat Use among Ethiopian College Students

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Seblewengel Lemma ◽  
Sheila V. Patel ◽  
Yared A. Tarekegn ◽  
Mahlet G. Tadesse ◽  
Yemane Berhane ◽  
...  
Keyword(s):  
College Students ◽  
Cigarette Smoking ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Sleep Habits ◽  
Poor Sleep Quality ◽  
Caffeine Consumption ◽  
Sleep Complaints ◽  
Khat Use

Objective. To evaluate sleep habits, sleep patterns, and sleep quality among Ethiopian college students; and to examine associations of poor sleep quality with consumption of caffeinated beverages and other stimulants.Methods. A total of 2,230 undergraduate students completed a self-administered comprehensive questionnaire which gathered information about sleep complaints, sociodemographic and lifestyle characteristics,and theuse of caffeinated beverages and khat. We used multivariable logistic regression procedures to estimate odds ratios for the associations of poor sleep quality with sociodemographic and behavioral factors.Results. Overall 52.7% of students were classified as having poor sleep quality (51.8% among males and 56.9% among females). In adjusted multivariate analyses, caffeine consumption (OR=1.55; 95% CI: 1.25–1.92), cigarette smoking (OR=1.68; 95% CI: 1.06–2.63), and khat use (OR=1.72, 95% CI: 1.09–2.71) were all associated with increased odds of long-sleep latency (>30 minutes). Cigarette smoking (OR=1.74; 95% CI: 1.11–2.73) and khat consumption (OR=1.91; 95% CI: 1.22–3.00) were also significantly associated with poor sleep efficiency (<85%), as well as with increased use of sleep medicine.Conclusion. Findings from the present study demonstrate the high prevalence of poor sleep quality and its association with stimulant use among college students. Preventive and educational programs for students should include modules that emphasize the importance of sleep and associated risk factors.

scholarly journals PERBEDAAN KUALITAS TIDUR SETELAH MENGONSUMSI BERBAGAI JENIS MINUMAN KOPI PADA USIA DEWASA

2017 ◽  
Vol 6 (4) ◽  
pp. 379
Author(s):  
Adhitya Nugraha Triantara ◽  
Hartanti Sandi Widyastuti
Keyword(s):  
Sleep Quality ◽  
Coffee Consumption ◽  
Bivariate Analysis ◽  
Poor Sleep ◽  
Caffeine Consumption ◽  
Cross Sectional ◽  
Caffeine Content ◽  
Significant Difference ◽  
Espresso Coffee ◽  
The Difference

Background: Coffee is categorized as psychostimulant drinks. The content of caffeine in coffee affects the increase in dopamine levels in the brain and one of the caffeine functions was a stimulant for the central nervous system. Caffeine consumption can also increased adrenaline and blood pressure. This can cause negative effects when consumed in excessive amount (> 400mg / day) such as anxiety, fatigue when woke up the morning. Sleep disorders and poor sleep quality.Objectives : Found the difference of caffeine content in various types of coffee drink and found the difference in sleep quality after consumed various types of coffee drinks..Method: The study design was Cross-Sectional with 54 adults around age 18-25 years as subjects. Subjects were divided into three groups, those who consumed espresso coffee, cappuccino, and café latte. The sleep quality of subjects was measured using the Pittsburg Sleep Quality Index. The caffeine content of espresso coffee, cappuccino, and café latte is tested using UV-Vis Spectrophotometry. Normality test using Kolmogorov Smirnov test (n> 50). Bivariate analysis using the Wilcoxon and Kruskal-Wallis tests.Results: Espresso coffee drinks has a caffeine content of 182.4 mg/cup, cappuccino coffee drinks has a caffeine content of 54 mg/cup, and café latte coffee drinks has a caffeine content of 41.25 mg/cup. The result of bivariate test showed that there was a significant difference in sleep quality after coffee consumption in the three subject groups. Subjects who consumed espresso coffee drink had a sleep quality that tends to be worse compared to subjects who consumed cappuccino and café latte.Conclusion: The study found differences in caffeine levels in espresso, cappuccino and café latte and the study also found a significant difference in sleep quality after consumed various types of coffee drinks. Subjects in the espresso coffee drink group had the worst sleep quality.

Differential Diagnosis of Sluggish Cognitive Tempo Symptoms in College Students

2020 ◽  
pp. 108705471989685
Author(s):  
Benjamin J. Lovett ◽  
Whitney L. M. Wood ◽  
Lawrence J. Lewandowski
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Substance Misuse ◽  
Sleep Problems ◽  
Sluggish Cognitive Tempo ◽  
Poor Sleep ◽  
Depression And Anxiety ◽  
Poor Sleep Quality ◽  
Clinically Significant ◽  
Cognitive Tempo

Objective: Sluggish cognitive tempo (SCT) refers to a set of symptoms that prior research has found to be related to several different psychological disorders, especially the predominantly inattentive presentation of ADHD. This study collected evidence relevant to the question of whether SCT is a distinct disorder. Method: College students ( N = 910) completed measures of SCT, ADHD, depression, anxiety, sleep quality, and substance misuse. Results: Students reporting clinically high SCT (reporting at least five symptoms often or very often) had significantly higher levels and rates of other types of psychopathology. Moreover, when students reporting clinically significant levels of ADHD, depression, and anxiety symptoms, poor sleep quality, or hazardous levels of alcohol or cannabis use were removed, very few students reporting high SCT remained (only 4.8% of the original high-SCT group). Conclusion: SCT may be best thought of as a symptom set common to many types of psychopathology, and it may be caused by sleep problems or substance misuse as well.

scholarly journals 0188 Mood Disorders Moderate the Relationship Between Sleep Quality and Leadership Development for U.S. Army Officer Candidates During ROTC Advanced Camp

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A74-A74
Author(s):  
J Choynowski ◽  
M Pirner ◽  
C Mickelson ◽  
J Mantua ◽  
W J Sowden ◽  
...  
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Mood Disorders ◽  
Process Model ◽  
The United States ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Medicine Research ◽  
The Us ◽  
Rotc Cadets

Abstract Introduction U.S. Army Reserve Officer Training Corps (ROTC) Cadets are college students training to be Army Officers. During a month-long capstone course (Advanced Camp), Cadets are rated on their leadership ability. Little work has been done to determine predictors of leadership ability at Advanced Camp. This study examined the effect of poor sleep and mood disorders -- two prevalent factors among college students -- on leadership ability. Methods Metrics on leadership, sleep quality, anxiety, and depression, were assessed in 159 ROTC Cadets (22.06±2.49 years; 23.90%female) at Days 1 (Baseline), 14 (Mid), and 29 (Post) of Advanced Camp. Leadership ratings were determined by ROTC Instructors over the course of Advanced Camp (1–5 score; higher score indicates poorer leadership). Predictors were the Pittsburgh Sleep Quality Index, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9. The relationships between the predictors and leadership scores were tested using linear regression. The interaction between mood disorders and sleep quality on leadership was tested using SPSS Process (Model 1). Results Poorer sleep quality at the Post time point (reflecting the prior 2 weeks of sleep) predicted poorer leadership (B=.05,p=.03), while sleep quality from Baseline (B=.03,p=.14) and Mid (B=.01,p=.67) did not. Higher anxiety and depression scores from all time points predicted poorer leadership (p-values&lt;.03). There was an interaction: higher anxiety and high depression predicted poorer leadership only in the context of poor sleep quality (not good or average sleep quality) [anxiety: R2=.04,F(1,159)=6.04,p=.02; interaction: R2=.03,F(1,155)=5.30,p=.02]. Conclusion The current study identified a relationship between sleep quality and leadership ratings in ROTC cadets. This relationship was moderated by anxiety and depression. ROTC instructors should encourage ROTC Cadets to take advantage of sleep opportunities at Advanced Camp in order to maximize leadership potential. Support Support for this study came from the Military Operational Medicine Research Program (MOMRP) of the United States Army Medical Research and Development Command (USAMRDC). Disclaimer: The opinions and assertions contained herein are the private views of the authors and are not to be construed as official or as reflecting the views of the US Army or of the US

scholarly journals Associations of Tryptophan, Docosahexaenoic Acid (DHA), and Vitamin D With Sleep Quality and Depression During Pregnancy

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 766-766
Author(s):  
Amber Kautz ◽  
Ying Meng ◽  
Emily S Barrett ◽  
Jessica Brunner ◽  
Richard Miller ◽  
...  
Keyword(s):  
Vitamin D ◽  
Depressive Symptoms ◽  
Docosahexaenoic Acid ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Maternal Mental Health ◽  
Smoking Status ◽  
Depression Scale ◽  
Poor Sleep ◽  
Increased Risk

Abstract Objectives During pregnancy women are at increased risk of poor sleep quality and depression. Serotonin and melatonin are compounds that are involved in regulation of sleep and mood. Several nutrients are involved in the synthesis of these compounds, including tryptophan, docosahexaenoic acid (DHA), and vitamin D. Studies exploring associations between these nutrients and sleep, as well as mood, have been largely limited to the general population, showing mixed results. The aim of this study was to assess the associations of dietary intake of these nutrients with sleep quality and depression in pregnant women. Methods Participants enrolled in the Understanding Pregnancy Signals and Infant Development (UPSIDE) Study (n = 253) were included in this analysis if they completed dietary, sleep and depression assessments during the 2nd trimester. Dietary and supplement intake were measured using 24-hour dietary recalls. The NCI method was used to estimate usual intake. Sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were measured with the Edinburgh Postnatal Depression Scale (EPDS). Multivariable linear regression was conducted to estimate the associations between nutrients and sleep/depression, adjusting for age, race/ethnicity, parity, education, early pregnancy body mass index, smoking status, energy and macronutrient intake. Results The NCI adjusted mean intakes of tryptophan, DHA, and vitamin D were 1.02 ± 0.11 g/day, 0.13 ± 0.11g/day, and 19.74 ± 21.80 mcg/day, respectively. Mean PSQI score was 6.15 ± 3.39, where higher scores indicated worse sleep quality, and mean EPDS score was 5.84 ± 4.77, where higher scores indicated increased severity of depressive symptoms. Tryptophan intake was inversely associated with EPDS scores (b = −15.23, 95%CI: −26.75, −3.72). The associations between DHA, vitamin D, and depression were not significant. The selected nutrients were not associated with PSQI scores. Conclusions In this study, higher tryptophan intake was associated with lower depressive symptoms among pregnant women during the second trimester. Additional research on the relationship between tryptophan intake and maternal mental health during pregnancy is warranted. Funding Sources NIH, Mae Stone Goode Foundation, Wynne Family Foundation.

scholarly journals Too Jittery to Sleep? Temporal Associations of Actigraphic Sleep and Caffeine in Adolescents

Nutrients ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 31
Author(s):  
Gina Marie Mathew ◽  
David A. Reichenberger ◽  
Lindsay Master ◽  
Orfeu M. Buxton ◽  
Anne-Marie Chang ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Caffeine Consumption ◽  
Sleep Health ◽  
Subjective Sleep Quality ◽  
Beverage Consumption ◽  
Wake Time ◽  
Regularity Index ◽  
Social Jetlag

Caffeine consumption has been linked to poor sleep health in adolescents, but it is unknown whether poor sleep predicts caffeine consumption, and/or whether caffeine consumption predicts poor sleep, particularly when sleep is measured objectively. Data were collected from a micro-longitudinal sub-study of the age 15 wave of the Fragile Families and Child Wellbeing Study (n = 589). Adolescents wore an actigraphy device and completed daily surveys for ~1 week. Daily surveys assessed subjective sleep quality and caffeinated beverage consumption (0 = no caffeine, 1 = any caffeine). Separate mixed models assessed whether actigraphy-measured sleep duration, timing, maintenance efficiency, and subjective quality predicted next-day caffeinated beverage consumption within and between adolescents. Variability (standard deviation) of sleep duration and timing, sleep regularity index, and social jetlag were tested as additional between-person predictors. Lagged models tested whether daily caffeinated beverage consumption predicted sleep that night (n = 458). Adolescents with more variable sleep duration and midpoint had higher average odds of consuming caffeinated beverages compared to others. After adolescents consumed ≥1 caffeinated beverage, they had later sleep onset that night and wake time the next morning than usual versus when they did not consume caffeine. Curbing caffeinated beverage consumption may aid in the maintenance of regular sleep schedules and advance sleep timing in adolescents.

scholarly journals The psychophysiological effects of the COVID-19 quarantine in the college students

2021 ◽  
Vol 25 (3) ◽  
pp. 158-163
Author(s):  
Yusuf Soylu
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Sleep Quality ◽  
Musculoskeletal Pain ◽  
Online Survey ◽  
Short Form ◽  
Negative Mood ◽  
Mood States ◽  
Poor Sleep ◽  
Lower Back

Background and Study Aim. A global pandemic affected by COVID-19 resulted in restrictions to daily routines, including recreation activities, social skills, and academic and health quality of college students. This study aimed to evaluate the psychophysiological effect of coronavirus quarantine on physical activity and its’ relationship between sleep quality, mood states and musculoskeletal pain in college students. Material and Methods. A total of 392 (male = 150; female = 242; age = 22.9±5.5) college students completed an online survey. The International Physical Activity Questionnaire-Short Form (IPAQ-SF), the Brunel Mood Scale, the Pittsburgh Sleep Quality Index (PSQI) and the Visual Analogue Scale for musculoskeletal pain (MSP) were used in this study. Results. Total physical activity significantly correlation with PSQI (p < 0.05, r = -.103), fatigue (p < 0.01, r = -.344), depression (p < 0.01, r = -.258), angry (p < 0.01, r = -.210), vigour (p < 0.01, r = -.344), neck and shoulder, upper and lower back (p < 0.01, r = -.225), neck and shoulder correlation (p < 0.01, r = -.230), upper and lower back (p < 0.01, r = -.209). Furthermore, a positive correlation was shown between PSQI and negative moods and a negative correlation with positive mood. Conclusions. During quarantine, decreased physical activity was associated with higher negative mood states and poor sleep quality and more MSP. The COVID-19 quarantine has considerably affected mental health-related crisis consists of desperation, self-consciousness and deficiency of physical capabilities in young adults, especially in college students.

scholarly journals Associations between sleep quality and its domains and insufficient physical activity in a large sample of Croatian young adults: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e021902 ◽  
Author(s):  
Lovro Štefan ◽  
Goran Sporiš ◽  
Tomislav Krističević ◽  
Damir Knjaz
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Smoking Status ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Insufficient Physical Activity

ObjectivesThe main purpose of the present study was to explore the associations between sleep quality and insufficient physical activity.DesignCross-sectional.SettingFaculties in Croatia.Participants2100 university students (1049 men and 1051 women) aged 18–24 years were recruited.Primary outcomeTo assess the domains of sleep quality (independent variables) and ‘insufficient’ physical activity (dependent variable), we used previously validated Pittsburgh Sleep Quality Index and International Physical Activity questionnaires. Logistic regressions were used to calculate the associations between the sleep quality and ‘insufficient’ physical activity.ResultsWhen sleep quality domains were entered separately into the model, very bad subjective sleep quality (OR 3.09; 95% CI 1.50 to 6.56), >60 min of sleep latency (OR 2.17; 95% CI 1.39 to 3.39), <7 hours of sleep (OR 1.56; 95% CI 1.24 to 1.96), <65% of habitual sleep efficiency (OR 2.26; 95% CI 1.26 to 4.05), sleep disturbances >1/week (OR 1.61; 95% CI 1.03 to 2.52), use of sleep medication >1/week (OR 3.35; 95% CI 1.83 to 6.10), very big daytime dysfunction problem (OR 2.78; 95% CI 1.57 to 4.93) and poor sleep quality (1.53; 95% CI 1.23 to 1.91) were associated with ‘insufficient’ physical activity. When all sleep quality domains were entered simultaneously into the model, the same significant associations remained, except for sleep disturbances. Both models were adjusted for gender, body mass index, self-rated health, life satisfaction, socioeconomic status, presence or absence of chronic diseases, smoking status, binge drinking and psychological distress.ConclusionsOur results show that ‘poor’ sleep quality is associated with ‘insufficient’ physical activity in young adults. In order to improve, special strategies and policies that leverage ‘good sleep’ quality are warranted.

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