Caffeine Consumption Questionnaire Research Articles

Caffeine intake, chronotype, and student sleep quality at Polytechnic of Leiria

Abstract Introduction Higher education students ingest very high doses of caffeine, on average twice the recommended safe dose. This excessive consumption can become problematic, ultimately affecting sleep quality and, consequently, academic performance. The aim of this work is to describe caffeine consumption, sleep quality and to characterize the chronotype and academic performance of students at Polytechnic of Leiria. Methods An online self-completion questionnaire was developed, consisting of several instruments: The Caffeine Consumption Questionnaire; Horne and Ostberg morningness-eveningness Questionnaire; Pittsburgh Sleep Quality Index (PSQI), to describe caffeine consumption, characterize chronotype and assess sleep quality, respectively. The mean, standard deviation, minimum and maximum values were calculated for the quantitative variables. Absolute and relative frequencies were calculated for the qualitative variables. Parametric tests were used to compare groups; when this was not possible, non-parametric tests were used. P < 0.05 was considered statistically significant. Results Of the 261 students (mean age: 23.26 ± 6.60 years), 64.2% had poor sleep quality and 45.3% reported an afternoon chronotype. It was found that men consumed more coffee and energy drinks than women, although women consumed more caffeine-containing food products. The average academic score was 14.56 ± 1.61. There was a statistically significant association (p < 0.01) between the afternoon chronotype and poor sleep quality and between the consumption of coffee and chocolate drinks and poor sleep quality. Conclusions Students at Polytechnic of Leiria tend to have poor sleep quality and an intermediate chronotype. Those with an afternoon chronotype or who drink coffee and chocolate drinks have poor sleep quality. Key messages • Accurately assessing the situation is essential for crafting suitable solutions. • Higher students should adjust their coffee consumption to achieve better sleep quality.

Motives for Caffeine Consumption Questionnaire (MCCQ): validity and reliability of Turkish version

ObjectivesThe aims of this study are to make the Turkish validity and reliability of the scale that explain why caffeine intake. Additionally, it is crucial to highlight that the adaptation of the scale involved a confirmatory factor analysis (CFA) to validate its structure and the need for this adaptation in the Turkish context.Materials and methodsThe study was carried out with a total of 200 university students, comprised of 93.5% female and 6.5% male participants, with a mean age of 21.74 ± 6.15 years who were actively studying in the faculties of the universities who accepted to participate voluntarily in the study were included. The Turkish version of the Motives for Caffeine Consumption Questionnaire (MCCQ) scale and the MCCQ was used as the data collection tools. To evaluate the statistical analysis findings, the margin of error was taken as 5%. The entire application was carried out with the R-project software. CFA was used to test the adaptation of the MCCQ scale from English to Turkish.ResultsThe alpha internal consistency coefficient for the whole scale was calculated as 0.959. Just like the original scale, the Turkish version shows a six-factor structure: habit, alertness, mood, social, taste, and symptom management. In MCCQ-TR, it showed a low level of positive correlation with Yale Food Addiction Scale (YFAS). For the final scale with 23 items and 6 sub-dimensions, it was determined that the fit indices were at an acceptable level, and the internal consistency was highly reliable for all sub-dimensions and the total scale.ConclusionsIt has been determined that the Turkish version of the MCCQ is a valid and reliable measurement tool to operationalize the motives of caffeine consumption and to reveal possible differences in the motives regarding gender, age, and the type of caffeinated products consumed. The use of CFA in adapting the scale ensures the robustness of the structural validity in the Turkish context, making this adaptation a valuable contribution to the field.

Effect of caffeine consumption on sleep quality of undergraduate medical students of Multan

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.

Assessment of the levels of caffeine consumption among Saudi Arabian university students

This study aimed to assess the caffeine consumption of Saudi Arabian undergraduate students and to determine if the average amount consumed is within healthful parameters. Caffeine consumption in Saudi Arabia is a major cultural and social feature. Consumption of excessive amounts of caffeine can be deleterious to the health of university students. This is a cross-sectional study. A total of 145 male undergraduate nursing students were surveyed using the Caffeine Consumption Questionnaire to assess their caffeine intake on a typical day. Among this group, 34.5% of students exceeded the 400mg daily safe levels for caffeine consumption. The average consumption of the total group, those consuming below 400mg and those exceeding 400mg were 325.1, 201.2, and 570.1 mg, respectively. Tea and coffee were the major contributors to total caffeine intake ranging from 0-8 (240ml) servings per day. Health promotion aimed at illuminating health risks of caffeine consumption exceeding safe limits may assist in modification of intake to more healthful levels.

Habitual Caffeine Consumption Does Not Affect the Ergogenicity of Coffee Ingestion During a 5 km Cycling Time Trial.

There is growing evidence that caffeine and coffee ingestion prior to exercise provide similar ergogenic benefits. However, there has been a long-standing paradigm that habitual caffeine intake may influence the ergogenicity of caffeine supplementation. The aim of the present study was to investigate the effect of habitual caffeine intake on 5-km cycling time-trial performance following the ingestion of caffeinated coffee. Following institutional ethical approval, in a double-blind, randomized, crossover, placebo-controlled design, 46 recreationally active participants (27 men and 19 women) completed a 5-km cycling time trial on a cycle ergometer 60m in following the ingestion of 0.09g/kg coffee providing 3mg/kg of caffeine, or a placebo. Habitual caffeine consumption was assessed using a caffeine consumption questionnaire with low habitual caffeine consumption defined as <3 and ≥6mg · kg-1 · day-1 defined as high. An analysis of covariance using habitual caffeine intake as a covariant was performed to establish if habitual caffeine consumption had an impact on the ergogenic effect of coffee ingestion. Sixteen participants were classified as high-caffeine users and 30 as low. Ingesting caffeinated coffee improved 5-km cycling time-trial performance by 8 ± 12s; 95% confidence interval (CI) [5, 13]; p < .001; d = 0.30, with low, 9±14s; 95% CI [3, 14]; p = .002; d = 0.18, and high, 8 ± 10s; 95% CI [-1, 17]; p = .008; d = 0.06, users improving by a similar magnitude, 95% CI [-12, 12]; p = .946; d = 0.08. In conclusion, habitual caffeine consumption did not affect the ergogenicity of coffee ingestion prior to a 5-km cycling time trial.

Caffeine Intake and Its Association with Body Composition Measures and Macronutrient Intakes in People Living with HIV in the Miami Adult Studies on HIV Cohort.

Background: Caffeine acts as an anorexic agent, increases energy expenditures, and decreases total body fat mass, and could be detrimental to people living with HIV (PLWH). The objective of this study was to explore the relationship between caffeine consumption, body composition measures (fat mass, body mass index [BMI], and lean body mass [LBM]), nutrient intakes, CD4 counts, and HIV viral load in PLWH. Methods: A convenience sample of 130 PLWH was recruited and followed for 3 months. Caffeine intake, body composition measures, and nutrient intakes were collected using Modified Caffeine Consumption Questionnaire, bioimpedance analyses, and 24-hour dietary recalls. Linear regressions were used to analyze the baseline data for relationships between these variables. Linear mixed models (LMMs) were used to determine the overtime changes. Results: In baseline, linear regression analysis, higher caffeine consumption was associated with lower fat mass (β = -0.994, p = 0.042). However, BMI and LBM did not show any significant association with caffeine intake. LMM analysis showed that the association between caffeine intake and fat mass strengthened overtime (β = -1.987, p = 0.035). Baseline linear regression analysis showed that higher caffeine intake was significantly associated with lower caloric intakes from fat (β = -1.902, p = 0.044) and lower total caloric intake (β = -1.643, p = 0.042). However, LMM analysis showed that these associations diminished and lost significance overtime. There were no associations between body composition measures, nutrient intakes, CD4 counts, and HIV viral load. Conclusions: Caffeine intake adversely affected dietary intakes of macronutrients and total fat mass. Therefore, caffeine, a known anorectic, should be regulated in PLWH.

Why Do You Drink Caffeine? The Development of the Motives for Caffeine Consumption Questionnaire (MCCQ) and Its Relationship with Gender, Age and the Types of Caffeinated Beverages

Caffeine is the most popular psychoactive substance that is consumed worldwide. As motives influence behavior, investigation of the motivational background of caffeine consumption should help provide a better understanding of the popularity of caffeinated products. The present study aimed (i) to explore and operationalize the motives of caffeine consumption and (ii) to reveal possible differences in the motives regarding gender, age and the type of caffeinated products consumed. Motives for caffeine consumption were collected from regular caffeine consumers (N = 26) and were informed by a review of the relevant literature. Following this, a cross-sectional study was conducted on a convenience sample of Hungarian university students and working adults (N = 598). The participants completed the Motives for Caffeine Consumption Questionnaire and the Caffeine Consumption Questionnaire. Six motivational factors were identified: Alertness, Habit, Mood, Social, Taste and Symptom Management. Women had higher scores on Habit, Social, Taste and Symptom Management. Younger participants had higher scores on Alertness than the older group, and the older group had higher scores on Habit and Symptom Management. Five types of caffeine users were identified. Those who consumed (i) coffee, (ii) tea, (iii) energy drinks, (iv) coffee and tea and (v) mixed drinks. Several differences between the five groups were revealed across all motives except for Taste. The present study developed a robust psychometric instrument for assessing caffeine consumption motives. The factors varied in importance in relation to gender, age and caffeine consumption habits.

Caffeine and Insomnia in People Living With HIV From the Miami Adult Studies on HIV (MASH) Cohort

We explored the relationship between caffeine consumption, insomnia, and HIV disease progression (CD4+ T cell counts and HIV viral loads). Caffeine intake and insomnia levels were measured using the Modified Caffeine Consumption Questionnaire and the Pittsburgh Insomnia Rating Scale (PIRS) in 130 clinically stable participants who were living with HIV, taking antiretroviral therapy, and recruited from the Miami Adult Studies on HIV cohort. Linear regressions showed that caffeine consumption was significantly and adversely associated with distress score, quality-of-life score, and global PIRS score. Linear regression analyses also showed that global PIRS score was significantly associated with lower CD4+ T cell counts and higher HIV viral loads. Caffeine could have precipitated insomnia in susceptible people living with HIV, which could be detrimental to their disease progression states.

The Relationship Between Caffeine Intake and Immunological and Virological Markers of HIV Disease Progression in Miami Adult Studies on HIV Cohort.

Although there are many studies on adverse health effects of substance use and HIV disease progression, similar studies about caffeine consumption are few. In this study, we investigated the effects of caffeine on immunological and virological markers of HIV disease progression. A convenience sample of 130 clinically stable people living with HIV/AIDS on antiretroviral therapy (65 consuming ≤250 mg/day and 65 consuming >250 mg/day of caffeine) were recruited from the Miami Adult Studies on HIV (MASH) cohort. This study included a baseline and 3-month follow-up visit. Demographics, body composition measures, substance use, Modified Caffeine Consumption Questionnaire (MCCQ), and CD4 count and HIV viral load were obtained for all participants. Multivariable linear regression and Linear Mixed Models (LMMs) were used to understand the effect of caffeine consumption on CD4 count and HIV viral load. The mean age of the cohort was 47.9 ± 6.4 years, 60.8% were men and 75.4% were African Americans. All participants were on ART during both the visits. Mean caffeine intake at baseline was 337.6 ± 305.0 mg/day and did not change significantly at the 3-month follow-up visit. Multivariable linear regressions after adjustment for covariates showed significant association between caffeine consumption and higher CD4 count (β = 1.532, p = 0.049) and lower HIV viral load (β = -1.067, p = 0.048). LMM after adjustment for covariates showed that the relationship between caffeine and CD4 count (β = 1.720, p = 0.042) and HIV viral load (β = -1.389, p = 0.033) continued over time in a dose-response manner. Higher caffeine consumption was associated with higher CD4 cell counts and lower HIV viral loads indicating beneficial effects on HIV disease progression. Further studies examining biochemical effects of caffeine on CD4 cell counts and viral replication need to be done in the future.

Caffeine consumption and the 4-year progression of de novo Parkinson's disease

IntroductionHigher caffeine consumption has been associated with reduced risk of Parkinson's disease (PD), and with a more benign progression of motor and non-motor symptoms (NMS). The present observational cohort study investigated motor and non-motor correlates of caffeine consumption in de novo PD. Methods79 newly diagnosed, drug naïve PD patients have been included and followed up for 4 years. The total caffeine use was calculated with the Caffeine Consumption Questionnaire. Following study variables were recorded at baseline, and after 2 and 4 years: UPDRS part III, UPDRS part IV, l-dopa Equivalent Daily Dose (LEDD), NMS Questionnaire (NMSQuest), and the time occurring from PD diagnosis to the need for l-dopa treatment. Age, gender and disease duration were included as covariates in the statistical models. ResultsThe average daily caffeine consumption was 296.1 ± 157.2 mg. At Cox regression models, higher caffeine consumption was associated with a lower rate of starting l-Dopa treatment (HR = 0.630; 95%CI = 0.382–0.996). At the mixed-effects linear regression models considering the whole study period, each additional espresso cup per day (50 mg of caffeine) was more likely associated with 5-point lower UPDRS part III total score (Coef = −0.01; 95%CI = −0.02 to 0.00), with 50% reduced LEDD (Coef = −0.01; 95%CI = −0.15 to 0.00; p = 0.021), and with 5-point lower NMSQuest total score (Coef = −0.01; 95%CI = −0.01 to 0.00), but not with UPDRS part IV total score (Coef = −0.00; 95%CI = −0.00 to 0.00). ConclusionCaffeine consumption was associated with a reduced accrual of motor and non-motor disability during 4-year follow-up in de novo PD, highlighting the rationale for using adenosine A2A antagonists since the early phases of PD.

Alexithymia and caffeine: the role of caffeine expectancies and craving

Alexithymia refers to difficulties in identifying and describing feelings and is often associated with problematic substance use for a variety of substances. A recent study investigating the relationship between alexithymia and caffeine use found that university students with alexithymia reported typically consuming nearly twice as much caffeine as those without alexithymia. The current study assessed the potential role of caffeine expectancies and craving in mediating this relationship. University students (n = 104) aged 18–30 years, who regularly consumed both caffeine and alcohol, completed the following measures: a demographic questionnaire, Toronto Alexithymia Scale-20 (TAS-20), Beck Anxiety Inventory, Caffeine Expectancy Questionnaire (CaffEQ), Caffeine Consumption Questionnaire, Sensitivity to Punishment and Sensitivity to Reward Questionnaire, and the Alcohol Use Disorders Identification Test. Hierarchical regression and path analyses indicated that caffeine expectancies and caffeine craving mediated the relationship between alexithymia and caffeine consumption. Given that alexithymia is common in samples of clients undergoing treatment for substance dependence for a variety of substances, alexithymia appears to be associated with increased susceptibility to drug cravings—even for a drug as mild in its typical effects as caffeine.

Caffeine Supplementation and Muscle Endurance - a Balanced Placebo Design Study

1,3,7-trimethylxanthine is one of the most consumed psychoactive substances in the world, found in a wide variety of foods and drinks. About 74% of athletes during international and national competitions use caffeine (CAFF) aiming to improve performance. Its effect on aerobic exercise is well known; however, on strength training, more information is needed to determine it. A key point that might help explain such controversies is the placebo effect and its interactions with CAFF use. PURPOSE: We aim to analyze the effect of acute caffeine supplementation on muscle endurance using a balanced placebo design to study the physiological effect of CAFF (5 mg/kg of body weight) and the placebo effect. METHODS: Five young men underwent six sessions, one for familiarization, one as control and four experimental ones. At the first session, they were submitted to anthropometric measurements, CAFF consumption questionnaire and one repetition maximum test (1RM) in the parallel squat (Smith’s machine). At the second session they performed 3 sets to exhaustion with 3 minutes interval between sets using 60%1RM - it’s the muscle endurance test (MENT). The last four sessions were randomly distributed using a balanced placebo design having four possibilities: 1 - Session C/C: Subject was informed of CAFF ingestion and was given CAFF. 2 - Session C/P: Subject informed of CAFF ingestion but given placebo (PLA) 3 - Session P/C: Subject informed of PLA ingestion but given CAFF. 4 - Session P/P: Subject informed of PLA ingestion and given PLA. Subjects received CAFF or PLA on arrival at the laboratory then waited about 1h20min to execute the MENT. RESULTS: No CAFF effects were observed on the maximal number of repetitions done (p>0.05) - 32.6, 35.0, 33.8 and 32.0, neither on the number of repetitions done at first set (p>0.05) - 16.2, 15.6, 15.8, 15.0 - or on the last set (p>0.05) - 7.4, 8.2, 8.0, 7.2 - during sessions C/C, C/P, P/C, P/P, respectively. Three of the five subjects appeared as CAFF responders (increased 2.2 repetitions average) and two exhibited a PLA effect (increased 3.0 reps average). CONCLUSION: CAFF has no effect on the MENT. Some people may be responsive to CAFF while others may actually present a PLA effect. The use of balanced placebo design seems to be an important method for clarifying future studies results using CAFF supplementation.

Development and Initial Validation of the Caffeine Consumption Questionnaire-Revised

Objective: We sought to outline the rationale and procedures for revising the Caffeine Consumption Questionnaire (CCQ) and to examine the utility and validity of the CCQ-revised (CCQ-R). Given that caffeine is a widely used drug with myriad potential health effects, it is important to measure and understand its use; however, to date, there are no reliable and valid biological tests readily available and existing self-report measures do not have standardized administration or scoring procedures. Method: The CCQ-R incorporates pictures, visual cues of relative sizes, sample products, and details about products to aid in responding. Additionally, a standardized scoring system is provided. Results and Conclusion: Validity data are provided and suggest that the CCQ-R offers a valid approach for measuring self-reported caffeine use.

Malay

Caffeine had been shown to have an ergogenic effect on trained individuals; however, studies investigating the physiological effects of caffeine on the sedentary population are limited. The aim of this study was to examine the effect of caffeine on oxygen consumption and rating of perceived exertion during moderate intensity exercise among sedentary young adult females. Subjects comprised 16 female undergraduates aged between 22 to 24 years studying at Universiti Kebangsaan Malaysia. Eligibility criteria were based on low physical activity level and daily caffeine intake of less than 50 mg a day, which was screened using the International Physical Activity Questionnaire (short version) and caffeine consumption questionnaire, respectively. The design of this study is single-blind, crossover, placebo-controlled with all subjects serving as their own controls. Subjects were required to report to the physical activity laboratory for two experimental sessions after either ingesting placebo or caffeine capsule with an interval of 3 days between these two experimental sessions. Sixty minutes after ingesting placebo capsule (Glucolin, glucose) or 100 mg caffeine (Pro-plus, United Kingdom), subjects were required to run on a treadmill for 30 minutes at a standardized power output equivalent to 60% of maximal heart rate. Oxygen consumption, heart rate, and rating of perceived exertion were recorded at 20th, 25th and 30th minutes, while blood pressure was recorded immediately after subjects completed their 30 minutes run. Mean body fat percentage was 28.4 ± 5.4. Differences were recorded after every subject completed both the placebo and caffeine experiments. Paired t-tests showed no significant difference between placebo vs caffeine trials for oxygen consumption (13.99 ± 2.47 vs 14.49± 1.73, p = 0.440), rating of perceived exertion (12.3 ± 2.5 vs 12.3 ± 2.1, p = 1.000), systolic blood pressure (113 ± 10 vs 117 ± 11, p = 0.129), diastolic blood pressure (67 ± 8 vs 69 ± 10, p = 0.408) and heart rate (127.3 ± 11.0 vs 127.1 ± 11.6, p = 0.912). There was strong significant negative correlation between body fat percentage and oxygen consumption (r = –0.568, p < 0.05) and strong significant positive correlation between body fat percentage and rating of perceived exertion (r = 0.515, p < 0.05). The non-significance in the results obtained could be due to the small effect size of the study (d = 0.24). Hence, future studies with a larger number of participants should be carried out to examine the effects of caffeine during exercise in a sedentary population. DOI : http://dx.doi.org/10.17576/jskm-1101-2013-06

Caffeine consumption questionnaire: a standardized measure for caffeine consumption in undergraduate students.

Undergraduate students (N=691) were given the 1992 Caffeine Consumption Questionnaire of Landrum and provided information on age, sex, and year in school. A subset (n = 168) of those completing the questionnaire were also given the Morningness-Eveningness Questionnaire of Horne and Ostberg. Analysis indicated that the average intake of caffeine was roughly 1,600 mg, i.e., a range from 13 mg to 21,840 mg per week. Older students consumed more caffeine than younger ones, and students with an Evening personality preference consumed more caffeine in the evening and nighttime hours than those with a Morning personality preference. These results are discussed in the context of other caffeine studies. Caffeine consumption is an important issue, and a consistent measurement system should be used by various researchers testing different populations.

The relationship between morningness-eveningness, personality and habitual caffeine consumption

Individual differences in circadian rhythms have been found to be related to personality variables, including extraversion and psychoticism, and to the consumption of stimulant drugs like caffeine. This study investigated differences in both personality variables and caffeine consumption in Morning-type (M-type) and Evening-type (E-type) subjects. The Eysenck Personality Questionnaire (EPQ) and a caffeine consumption questionnaire were administered to 47 M-type and 69 E-type individuals, classified according to the Horne-Östberg Morningness-Eveningness Questionnaire (MEQ). E-type individuals scored significantly higher than M-types on both the extraversion and psychoticism dimensions of the EPQ, while no difference was found on neuroticism scores. E-types also consumed significantly more caffeine than M-type individuals. The possibility that the personality variables of extraversion and psychoticism lead particular individuals to consume higher levels of caffeine and to prefer a night-active life-style is discussed. However, an alternative explanation for the interaction between caffeine use, individual differences in circadian rhythms, and personality, is proposed: namely, that caffeine consumption (which may be mediated by underlying differences in basal arousal levels, as reflected by personality variables) may exert a direct phase-delaying effect on the circadian system.