Effects of Alcohol, Coffee, and Tobacco, Alone or in Combination, on Physiological Parameters and Anxiety in a Young Population

Vinader‐Caerols, Concepción; Monleón, Santiago; Carrasco, Claudia; Parra, Andrés

doi:10.1089/jcr.2012.0018

Cited by 23 publications

(18 citation statements)

References 43 publications

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“…In a previous study in our laboratory, a low dose of alcohol (15.8 g in women and 18.7g in men) on physiological parameters and anxiety in a young population (mean age: 20.34 ± 2.34 years) produced a decrease in diastolic but not systolic blood pressure, and no alteration of the heart rate (Vinader-Caerols et al, 2012). These findings challenged previously published data suggesting that alcohol consumption increases blood pressure (Taylor, Irving, Baliunas, Roerecke, Patra, Mohapatra, & Rehm, 2009;Xin, He, Frontini, Ogden, Motsamai, & Whelton, 2001).…”

Section: Efectos Fisiológicos Y Psicológicos De Una Alta Dosis De Alcsupporting

confidence: 59%

“…In addition, we observed higher levels of state anxiety in alcohol consumers than in control subjects. However, no differences in state anxiety were detected in the former group when levels were compared before and after the acute intake of alcohol (Vinader-Caerols et al, 2012).…”

Section: Efectos Fisiológicos Y Psicológicos De Una Alta Dosis De Alcmentioning

confidence: 77%

“…As expected, control and alcohol consumers of both sexes exhibited similar TA in our study. In view of this finding, it is reasonable to believe that the differences observed in SA were due to a history of alcohol consumption rather than stable individual differences of personality (Vinader-Caerols et al, 2012).…”

Section: Discussionmentioning

confidence: 90%

“…Alcohol impairs the functioning of a variety of domains throughout the life cycle (Espert & Gadea, 2012), including brain development (Guerri & Pascual, 2010), attentional processing (Marinkovic, Rickenbacher, Azma, & Artsy, 2012), memory (Squeglia, Schweinsburg, Pulido, & Tapert, 2011), academic performance (Inglés, Torregrosa, Rodrí-guez-Marín, García del Castillo, Gázquez, García-Fernández & Delgado, 2013), and motor performance (Marczinski, Fillmore, Henges, Ramsey, & Young, 2012;Modig, Fransson, Magnusson, & Patel, 2012), and it alters physiological parameters, as well as anxiety (Vinader-Caerols, Monleón, Carrasco, & Parra, 2012).…”

Section: Efectos Fisiológicos Y Psicológicos De Una Alta Dosis De Alcmentioning

confidence: 99%

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Efectos fisiológicos y psicológicos de una alta dosis de alcohol en hombres y mujeres jóvenes

Vinader‐Caerols

Monleón

Parra³

2014

Adicciones

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adicciones vol. 26, nº 3 · 2014 originalThe objective of this study was to evaluate the effects of a high dose of alcohol on physiological and psychological parameters in young men and women with a previous history of alcohol consumption. Systolic and diastolic blood pressure, heart rate, state anxiety, attention, time estimation and manual dexterity were registered before (phase 1) and after (phase 2) intake of alcohol (38.4 g) or a non-alcoholic beverage.Trait anxiety was registered in phase 2 only. The results showed that acute consumption of a high dose of alcohol: i) improves attention in men (although the performance of alcohol consumers was not better than that of non-consumers); ii) blocks the systolic blood pressure habituation phenomenon (observed in controls) in women; and iii) blocks the improvement in manual dexterity (associated with experience in non-consumers) in both sexes. On the other hand, male consumers had a lower heart rate than non-consumers, independently of the phase, while female consumers had a higher state anxiety and performed worse in attention than controls, also independently of the phase. These results help to understand the extent of performance impairment of different tasks produced by risk alcohol consumption in young men and women.

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Section: Efectos Fisiológicos Y Psicológicos De Una Alta Dosis De Alcsupporting

confidence: 59%

Section: Efectos Fisiológicos Y Psicológicos De Una Alta Dosis De Alcmentioning

confidence: 77%

Section: Discussionmentioning

confidence: 90%

Section: Efectos Fisiológicos Y Psicológicos De Una Alta Dosis De Alcmentioning

confidence: 99%

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Efectos fisiológicos y psicológicos de una alta dosis de alcohol en hombres y mujeres jóvenes

Vinader‐Caerols

Monleón

Parra³

2014

Adicciones

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“…Data used in this work were all anonymously collected for the UK male and female populations, between 1990 and 2013, as detailed in Table. Data used were all collected by others from different studies independent of the present authors. The focus on the post-1990 period is indicative of a number of major health initiatives for treatment of CHD globally including control of blood pressure and introduction of statins (cholesterol reducing drug) which were accessible to the UK population through the National Health Service (NHS) 21 . Health statistics show a marked change in the average SBP and number of deaths due to CHD in most of the developed countries from 1990 onwards.…”

Section: Methodsmentioning

confidence: 99%

CHD Risk Minimization through Lifestyle Control: Machine Learning Gateway

Matam

Bellary

et al. 2020

Sci Rep

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Studies on the influence of a modern lifestyle in abetting Coronary Heart Diseases (CHD) have mostly focused on deterrent health factors, likesmoking, alcohol intake, cheese consumption and average systolic blood pressure, largely disregarding the impact of a healthy lifestyle in mitigating CHD risk. In this study, 30+ years' World Health Organization (WHO) data have been analyzed, using a wide array of advanced Machine Learning techniques, to quantify how regulated reliance on positive health indicators, e.g. fruits/vegetables, cereals can offset CHD risk factors over a period of time. Our research ranks the impact of the negative outliers on CHD and then quantifies the impact of the positive health factors in mitigating the negative risk-factors. Our research outcomes, presented through simple mathematical equations, outline the best CHD prevention strategy using lifestyle control only. We show that a 20% increase in the intake of fruit/vegetable leads to 3-6% decrease in SBP; or, a 10% increase in cereal intake lowers SBP by 3%; a simultaneous increase of 10% in fruit-vegetable can further offset the effects of SBP by 6%. Our analysis establishes gender independence of lifestyle on CHD, refuting long held assumptions and unqualified beliefs. We show that CHD risk can be lowered with incremental changes in lifestyle and diet, e.g. fruit-vegetable intake ameliorating effects of alcohol-smoking-fatty food. Our multivariate data model also estimates functional relationships amongst lifestyle factors that can potentially redefine the diagnostics of Framingham score-based CHD-prediction.Globally, cardiovascular diseases account for nearly 17.9 million deaths with Coronary Heart Disease (CHD) accounting for 80% of these 1 . A myriad of factors have been identified as risk generators, including ethnicity, sex, total cholesterol level, triglycerides, blood pressure, that in turn are affected by life style denominators 2,3 . Together, they determine the risk appraisal function that have been assessed using conventional predictive scoring like body mass index (BMI) and Framingham scores 4,5 together with more advanced population biology or epidemiological estimators. Although there have been numerous advances in the treatment of established CHD, at a population level, assessed through Artificial Intelligence (Machine Learning) based adaptation of established statistical wisdom, remains a major knowledge gap 5 .Ground breaking epidemiological studies have identified key lifestyle and health indicators as risk factors for Coronary Heart Disease (CHD) 6-9 . Lifestyle factors include smoking 10,11 , alcohol consumption 12 , lack of physical activity while key health indicators include obesity, high blood pressure 5 and diabetes 13 . Evidence suggests a diet rich in fruits, vegetables and whole grains can mitigate the onset of CHD 8 . Some of these risk factors are not individually causative but when combined with other risk factors, increase the risk of CHD 10-14 . Further, lifestyle factors can be suitably modified to ameli...

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Tobacco and alcohol co‐use: Lifestyle and sociodemographic factors, and personality aspects as potential predictors in the “Seguimiento Universidad de Navarra” cohort

Neddermann‐Carrillo,

Abidi,

Gea

et al. 2024

Research in Nursing & Health

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Tobacco and alcohol co‐use are two major lifestyle modifiable risk factors. Understanding the determinants of both behaviors helps to develop interventions to prevent these exposures. However, previous studies have focused on predictors of individual tobacco or alcohol use. This study aims to explore the potential predictors of tobacco and alcohol co‐use among Spanish university graduates from the “Seguimiento Universidad de Navarra” (SUN) cohort study. A total of 7175 participants who were co‐users of tobacco and alcohol were selected for this cross‐sectional analysis. Their mean age was 39.1 years (12.04 SD) and 57.3% were women. Univariate regression models were used to select the potential predictors of tobacco and alcohol co‐use, and the areas under the ROC curves (AUC) were calculated. Multivariable logistic regression models were used to create a predictive model. Baseline potential predictors included sociodemographic factors, lifestyle habits, and perceived personality aspects. In the multivariable model, the main significant potential predictors of tobacco and alcohol co‐use were driving under the influence of alcohol (odds ratio [OR] = 1.65 [1.43–1.90]), drinking 1–2 cups of coffee daily (OR = 1.50 [1.24–1.84]), and drinking three or more cups of coffee daily (OR = 1.61 [1.35–1.91]) when compared with the reference group. Conversely, those who were married (OR = 0.87 [0.75–0.99], ate at home 7 days a week (OR = 0.69 [0.60–0.80]), did more physical activity than recommended (OR = 1.18 [1.02–1.34]), or had a high perceived level of competitiveness (OR = 0.83 [0.72–0.95]) had a lower risk of co‐use (AUC 0.61 [confidence interval 95% 0.59–0.63]), compared to the reference group. These results could be used by healthcare professionals, especially nurses, to effectively assess patients at higher risk of tobacco and alcohol co‐use.

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Effects of Alcohol, Coffee, and Tobacco, Alone or in Combination, on Physiological Parameters and Anxiety in a Young Population

Cited by 23 publications

References 43 publications

Efectos fisiológicos y psicológicos de una alta dosis de alcohol en hombres y mujeres jóvenes

Efectos fisiológicos y psicológicos de una alta dosis de alcohol en hombres y mujeres jóvenes

CHD Risk Minimization through Lifestyle Control: Machine Learning Gateway

Tobacco and alcohol co‐use: Lifestyle and sociodemographic factors, and personality aspects as potential predictors in the “Seguimiento Universidad de Navarra” cohort

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