scholarly journals A study on caffeine consumption and its association with stress and appetite among call centre employees in Mumbai city, India

Author(s):  
Lakshmi B. Kale ◽  
Kejal Joshi Reddy

Background: Caffeine is a widely consumed chemical having controversial effects. Caffeine may interact with the satiety and may be associated with stress levels. The prevalence of caffeine consumption among call centre employees is known to be high. The aim of the study was to assess the caffeine intake, appetite levels, stress levels and correlate these parameters among call centre employees aged between 25-35 yearsMethods: A cross sectional study with purposive sampling was carried out among a call centre at Mumbai, India. Anthropometric measurements and structured questionnaires were used for data collection.  Results: The average caffeine intake was 200mg/day through coffee and 150mg/day through tea among the habitual consumers. As per the scoring categories of modified appetite questionnaire (CNAQ), 54.7% (n=64) of the participants were at risk to abnormally low appetite. The stress questionnaire results showed that 84.6% (n=99) of the participants were at high risk to stress. Significant negative association was found between coffee intake and appetite score (r- 0.55, p<0.001), indicating that with more coffee consumption the appetite score was lower, similarly significant negative association was seen between tea consumption and appetite score (r- 0.300, p<0.05). Habitual smoking along with daily coffee intake had a significant negative association with appetite score (r- 0.476, p<0.05). Significant difference (p<0.01) was observed between the mean appetite score of habitual smokers and non-smokers; mean appetite score of non-smokers was greater.Conclusions: Caffeine had a negative impact on the appetite levels. Smoking was observed to worsen the effect of caffeine on appetite. 

Author(s):  
Mohsen Mazidi ◽  
Abbas Dehghan ◽  
Dimitri Mikhailidis ◽  
Jacek Jóźwiak ◽  
Adrian Covic ◽  
...  

IntroductionBy applying on two-sample Mendelian randomization and systematic review and meta-analysis we investigated the association between caffeine and coffee intake with prevalent CKD and markers of renal function.Material and methodsFor the individual data analysis we analysed the NHANES data on renal function markers and caffeine intake. MR was implemented by using summary-level data from the largest ever GWAS conducted on coffee intake (N=91,462) and kidney function.ResultsFinally, we included the data of 18,436 participants, 6.9% had prevalent CKD (based on eGFR). Caffeine intake for general population was 131.1±1.1 mg. The percentage of participants with CKD, by caffeine quartile was 16.6% in the first (lowest) quartile, 13.9% in the second, 12.2% in the third and 11.0% in the top quartile (p<0.001). After adjustment, for increasing quartiles for caffeine consumption, mean urine albumin, albumin-creatinine ratio and estimated glomerular filtration rate (GFR) did not change significantly (p>0.234). In fully adjusted logistic regression models, there was no significant difference in chances of CKD prevalence (p-trend=0.745). In the same line, results of MR showed no impact of coffee intake on CKD (IVW=β: -0.0191, SE: 0.069, p=0.781), on eGFR (overall= IVW= β: -0.0005, SE: 0.005, p=0.926) both in diabetic (IVW= β: -0.006, SE: 0.009, p=0.478), and non-diabetic patients (IVW= β: -6.772, SE: 0.006, p=0.991). Results from the meta-analysis indicted that coffee consumption was not significantly associated with CKD (OR: 0.85, 95%CI 0.71-1.02, p=0.090, n=6 studies, I2=0.32).ConclusionsBy implementing on different strategies, we have highlighted no significant association between coffee consumption with renal function and chance of CKD.


2013 ◽  
Vol 17 (3) ◽  
pp. 625-633 ◽  
Author(s):  
Ngoc Minh Pham ◽  
Akiko Nanri ◽  
Kayo Kurotani ◽  
Keisuke Kuwahara ◽  
Ayami Kume ◽  
...  

AbstractObjectiveTo examine the association between the consumption of green tea, coffee and caffeine and depressive symptoms.DesignCross-sectional study. Consumption of green tea and coffee was ascertained with a validated dietary questionnaire and the amount of caffeine intake was estimated from these beverages. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale. Multiple logistic regression analysis was performed to compute odds ratios and 95 % confidence intervals for depressive symptoms with adjustments for potential confounders.SettingTwo workplaces in north-eastern Kyushu, Japan, in 2009.SubjectsA total of 537 men and women aged 20–68 years.ResultsHigher green tea consumption was associated with a lower prevalence of depressive symptoms. Compared with participants consuming ≤1 cup/d, those consuming ≥4 cups green tea/d had a 51 % significantly lower prevalence odds of having depressive symptoms after adjustment for potential confounders, with significant trend association (P for trend = 0·01). Further adjustment for serum folate slightly attenuated the association. Coffee consumption was also inversely associated with depressive symptoms (≥2 cups/d v. <1 cup/d: OR = 0·61; 95 % CI 0·38, 0·98). Multiple-adjusted odds for depressive symptoms comparing the highest with the lowest quartile of caffeine consumption was OR = 0·57 (95 % CI 0·30, 1·05; P for trend = 0·02).ConclusionsResults suggest that higher consumption of green tea, coffee and caffeine may confer protection against depression.


Cardiology ◽  
2018 ◽  
Vol 140 (2) ◽  
pp. 106-114 ◽  
Author(s):  
Ramy Abdelfattah ◽  
Haroon Kamran ◽  
Jason Lazar ◽  
John Kassotis

Objective: Caffeine has been considered a trigger for atrial fibrillation (AF). We conducted a meta-analysis including a dose-response analysis to assess the relationship between caffeine consumed and incidence of AF. Methods: Data from selected studies represented 176,675 subjects (AF in 9,987 [5.7%]). Caffeine content varied widely, ranging from 40 to 180 mg per cup of coffee. For purposes of the calculations in this study, we assumed 140 mg of caffeine in a standard 12-oz cup of coffee. Results: No significant difference was found in AF incidence when the subjects consuming less than 2 cups of coffee per day were compared to subjects with higher consumption, 1.068 (0.937–1.216). The risk of AF was higher among subjects consuming less than 2 cups of coffee daily when compared to higher daily consumption subjects. A lower incidence of AF was found among people consuming more than 436 mg daily. Conclusion: The incidence of AF is not increased by coffee consumption. In fact, we found a lower incidence of AF when caffeine consumption exceeded 436 mg/day. Therefore, based on available evidence there is no association between caffeine intake and AF risk.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Mazidi ◽  
D P Mikhailidis ◽  
A Dehghan ◽  
J Jozwiak ◽  
J Rysz ◽  
...  

Abstract Background The reported relationship between coffee intake and renal function is poorly understood. Purpose By applying on two-sample Mendelian randomization (MR) and systematic review and meta-analysis we investigated the association between caffeine and coffee intake with prevalent CKD and markers of renal function. Methods For the individual data analysis we analysed the NHANES data on renal function markers and caffeine intake. MR was implemented by using summary-level data from genome-wide association studies conducted on coffee intake (N=91,462) and kidney function (N=133,413). Inverse variance weighted method (IVW), weighted median-based method, MR-Egger, MR-RAPS, MR-PRESSO were applied. Random effects models and generic inverse variance methods were used for the meta-analysis. Results Finally, we included the data of 18,436 participants, 6.9% had prevalent CKD (based on eGFR). Caffeine intake for general population was 131.1±1.1 mg. The % of pts. with CKD, by caffeine quartile was 16.6% in Q1 (lowest), 13.9% in Q2, 12.2% in Q3 and 11.0% in Q4 (p<0.001). After adjustment, for increasing quartiles for caffeine consumption, mean urine albumin, albumin-creatinine ratio and eGFR did not change significantly (p>0.234). In fully adjusted logistic regression models, there was no significant difference in chances of CKD prevalence (p-trend=0.745) (Table). In the same line, results of MR showed no impact of coffee intake on CKD (IVW=β: −0.0191, SE: 0.069, p=0.781) (Figure), on eGFR (overall= IVW= β: −0.0005, SE: 0.005, p=0.926) both in diabetic (IVW= β: −0.006, SE: 0.009, p=0.478), and non-diabetic patients (IVW= β: −6.772, SE: 0.006, p=0.991). Results from the meta-analysis indicted that coffee consumption was not significantly associated with CKD (OR: 0.85, 95% CI 0.71–1.02, p=0.090, n=6 studies, I2=0.32). These findings were robust in sensitivity analyses. Levels of CKD markers across caffeine Qs Characteristics Quartiles of Caffeine p-value First Second Third Fourth Number of participants (n) 4609 4611 4608 4608 Log Urine Albumin (mg/L) 2.20±0.02 2.16±0.02 2.19±0.02 2.17±0.02 0.239 Serum Creatinine (mg/dL) 0.89±0.003 0.90±0.004 0.91±0.002 0.88±0.003 0.234 Log ACR (mg/g) 2.14±0.02 2.10±0.02 2.11±0.02 2.16±0.02 0.352 eGFR (ml/min/1.73m2) 91.2±0.7 92.8±0.4 90.2±0.5 89.6±0.3 0.415 MR on the impact of coffee intake on CKD Conclusions By implementing on different strategies we have highlighted no significant association between coffee consumption with renal function and chance of CKD. Acknowledgement/Funding None


2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Harry Freitag Luglio Muhammad ◽  
Dian Caturini Sulistyoningrum ◽  
Emy Huriyati ◽  
Yi Yi Lee ◽  
Wan Abdul Manan Wan Muda

Background. Coffee is suggested as an alternative option for weight loss but the relationship between coffee consumption and adiposity in population-based studies is still controversial. Therefore, this study was aimed at evaluating the relationship between coffee intake and adiposity in adults and to test whether uncoupling protein 2 (UCP2) gene variation was able to affect this relationship. Methods. This was a cross-sectional study conducted in male and female adults living in the urban area of Yogyakarta, Indonesia. Adiposity was determined based on body weight, body mass index (BMI), percent body fat, and waist and hip circumference. Data on coffee consumption and other dietary components were collected using a semiquantitative food frequency questionnaire along with other caffeine-containing beverages such as tea, chocolate, and other beverages. The −866 G/A UCP2 gene variation was analyzed using polymerase chain reaction-restriction fragment length polymorphism. The correlation between coffee intake and adiposity was tested using linear regression test with adjustment for sex, age, energy intake, table sugar intake, and total caffeine intake. Results. In all subjects, coffee intake was inversely correlated with body weight (β = −0.122, p=0.028), BMI (β = −0.157, p=0.005), and body fat (β = −0.135, p=0.009). In subjects with AA + GA genotypes, coffee intake was inversely correlated with body weight (β = −0.155, p=0.027), BMI (β = −0.179, p=0.010), and body fat (β = −0.148, p=0.021). By contrast, in subjects with GG genotype, coffee intake was not correlated with body weight (β = −0.017, p=0.822), BMI (β = −0.068, p=0.377), and body fat (β = −0.047, p=0.504). Conclusion. We showed that coffee intake was negatively correlated with adiposity, and this was independent of total caffeine intake. Additionally, we showed that the −866 G/A UCP2 gene variation influences the relationship between coffee intake and adiposity.


2019 ◽  
Author(s):  
Hansol Choi ◽  
Seul Koo ◽  
Hyun-Young Park

Abstract Background Maternal caffeine intake has an effect on fetal growth through cross the placenta freely. The objective of this study is to examine the association of pre-pregnancy coffee consumption pattern with the risk of threatened abortion. Methods A cross-sectional analysis was conducted for a total of 4,111 pregnant women who completed baseline examination for the Korean Pregnancy Outcome Study between 2013 and 2017. Coffee consumption pattern before pregnancy was measured by a questionnaire. The frequency of coffee consumption was divided into seldom (<1 cup/week), light (<1 cup/day), moderate (1 cup/day), and heavy coffee drinkers (≥2 cups/day). Threatened abortion was defined as the occurrence of vaginal bleeding in the first 20 weeks of pregnancy. Multiple logistic regression models were applied to examine the association between pre-pregnancy coffee consumption and the risk of threatened abortion, after adjusting for age, body mass index, systolic blood pressure, smoking, drinking, physical activity before and after pregnancy, stress level, history of depression, and reproductive information. Results Women with heavy coffee drinking were at increased odds for having threatened abortion in unadjusted model (odds ratio [OR], 1.271; 95% confidence interval [CI], 1.008 to 1.602). Compared to women with seldom coffee drinkers, the fully adjusted ORs for the risk of threatened abortion were significant in moderate (OR, 1.420; 95% CI, 1.001 to 2.014) and heavy coffee drinkers (OR, 1.750; 95% CI, 1.156 to 2.651). Conclusions Heavy coffee drinking was independently associated with a higher risk of threatened abortion among Korean pregnant women.


2017 ◽  
Vol 6 (4) ◽  
pp. 379
Author(s):  
Adhitya Nugraha Triantara ◽  
Hartanti Sandi Widyastuti

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.


2021 ◽  
Vol 11 (1) ◽  
pp. 35
Author(s):  
Zahra A. Barandouzi ◽  
Joochul Lee ◽  
Kendra Maas ◽  
Angela R. Starkweather ◽  
Xiaomei S. Cong

The interplay between diet and gut microbiota has gained interest as a potential contributor in pathophysiology of irritable bowel syndrome (IBS). The purpose of this study was to compare food components and gut microbiota patterns between IBS patients and healthy controls (HC) as well as to explore the associations of food components and microbiota profiles. A cross-sectional study was conducted with 80 young adults with IBS and 21 HC recruited. The food frequency questionnaire was used to measure food components. Fecal samples were collected and profiled by 16S rRNA Illumina sequencing. Food components were similar in both IBS and HC groups, except in caffeine consumption. Higher alpha diversity indices and altered gut microbiota were observed in IBS compared to the HC. A negative correlation existed between total observed species and caffeine intake in the HC, and a positive correlation between alpha diversity indices and dietary fiber in the IBS group. Higher alpha diversity and gut microbiota alteration were found in IBS people who consumed caffeine more than 400 mg/d. Moreover, high microbial diversity and alteration of gut microbiota composition in IBS people with high caffeine consumption may be a clue toward the effects of caffeine on the gut microbiome pattern, which warrants further study.


Author(s):  
Afsara B. Zaheed ◽  
Neika Sharifian ◽  
A. Zarina Kraal ◽  
Ketlyne Sol ◽  
Jennifer J. Manly ◽  
...  

Abstract Objective: Stress is a risk factor for numerous negative health outcomes, including cognitive impairment in late-life. The negative association between stress and cognition may be mediated by depressive symptoms, which separate studies have identified as both a consequence of perceived stress and a risk factor for cognitive decline. Pathways linking perceived stress, depressive symptoms, and cognition may be moderated by sociodemographics and psychosocial resources. The goal of this cross-sectional study was to identify modifying factors and enhance understanding of the mechanisms underlying the stress–cognition association in a racially and ethnically diverse sample of older adults. Method: A linear regression estimated the association between perceived stress and episodic memory in 578 older adults (Mage = 74.58) in the Washington Heights-Inwood Columbia Aging Project. Subsequent models tested whether depressive symptoms mediated the stress–memory relationship and whether sociodemographics (gender, race, and ethnicity) or perceived control moderated these pathways. Results: Independent of sociodemographics and chronic diseases, greater perceived stress was associated with worse episodic memory. This relationship was mediated by more depressive symptoms. Higher perceived control buffered the association between stress and depressive symptoms. There was no significant moderation by gender, race, or ethnicity. Conclusion: Depressive symptoms may play a role in the negative association between perceived stress and cognition among older adults; however, longitudinal analyses and studies using experimental designs are needed. Perceived control is a modifiable psychological resource that may offset the negative impact of stress.


Author(s):  
Fernanda Vitti ◽  
Carlos Grandi ◽  
Ricardo Cavalli ◽  
Vanda Simões ◽  
Rosângela Batista ◽  
...  

Objective To describe caffeine consumption during pregnancy and its association with low birth weight (LBW) and preterm birth in the birth cohort of Ribeirão Preto, state of São Paulo, Brazil, in 2010. Methods Cohort study, with descriptive and analytical approach. Data included 7,607 women and their newborns in Ribeirão Preto, state of São Paulo, Brazil. The women answered standardized questionnaires about reproductive health, prenatal care, life habits, sociodemographic conditions, and information about coffee intake. The independent variable was high caffeine consumption (≥300 mg/day) from coffee during pregnancy, and the dependent variables were LBW (birth weight < 2,500 g) and preterm birth (< 37 weeks of gestational age). Four adjusted polytomous logistic regression models, relative risk (RR) and 95% confidence interval (CI) were fitted: biological and sociodemographic conditions; obstetric history; current gestational conditions; and all variables included in the previous models. Results A total of 4,908 (64.5%) mothers consumed caffeine, 143 (2.9%) of whom reported high consumption. High caffeine intake was significantly associated with reduced education and with the occupation of the head of the family, nonwhite skin color, not having a partner, higher parity, previous abortion and preterm birth, urinary tract infection, threatened abortion, alcohol consumption and smoking. No association was found between high caffeine consumption and LBW or preterm birth in both unadjusted (RR = 1.45; 95% CI: 0.91–2.32; and RR = 1.16; 95% CI: 0.77–1.75, respectively) and adjusted analyses (RR = 1.42; 95% CI: 0.85–2.38; and RR = 1.03; 95% CI: 0.65–1.63, respectively). Conclusion In this cohort, high caffeine intake was lower than in other studies and no association with LBW or preterm birth was found.


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