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1.
Braz J Med Biol Res ; 53(4): e9200, 2020.
Article in English | MEDLINE | ID: mdl-32267309

ABSTRACT

The consumption of alcoholic beverages influences carbohydrate and lipid metabolism, although it is not yet clear whether metabolism during physical exercise at different intensities is also affected. This was the objective of the present study. Eight young and healthy volunteers performed a treadmill test to identify the running speed corresponding to a lactate concentration of 4 mM (S4mM). At least 48 h later, they were subjected to two experimental trials (non-alcohol or alcohol) in which they performed two 1-km running sessions at the following intensities: 1) S4mM; 2) 15% above S4mM. In both trials, blood lactate, triglycerides, and glucose concentrations were measured before and after exercise. The acute alcohol intake increased triglycerides, but not lactate concentration under resting conditions. Interestingly, alcohol intake enhanced the exercise-induced increase in lactate concentration at the two intensities: S4mM (non-alcohol: 4.2±0.3 mM vs alcohol: 4.8±0.9 mM; P=0.003) and 15% above S4mM trial (P=0.004). When volunteers ingested alcohol, triglycerides concentration remained increased after treadmill running (e.g., at S4mM - at rest; non-alcohol: 0.2±0.5 mM vs alcohol: 1.3±1.3 mM; P=0.048). In contrast, glucose concentration was not modified by either alcohol intake, exercise, or their combination. We concluded that an acute alcohol intake changed lactate and lipid metabolism without affecting blood glucose concentration. In addition, the increase in lactate concentration caused by alcohol was specifically observed when individuals exercised, whereas augmented triglycerides concentration was already observed before exercise and was sustained thereafter.


Subject(s)
Alcohol Drinking/blood , Alcoholic Beverages/analysis , Blood Glucose/metabolism , Ethanol/metabolism , Lactic Acid/blood , Physical Endurance/drug effects , Adult , Athletic Performance/physiology , Blood Glucose/analysis , Exercise Test , Humans , Male , Physical Endurance/physiology , Triglycerides/blood , Young Adult
2.
Braz. j. med. biol. res ; 53(4): e9200, 2020. tab, graf
Article in English | LILACS | ID: biblio-1089350

ABSTRACT

The consumption of alcoholic beverages influences carbohydrate and lipid metabolism, although it is not yet clear whether metabolism during physical exercise at different intensities is also affected. This was the objective of the present study. Eight young and healthy volunteers performed a treadmill test to identify the running speed corresponding to a lactate concentration of 4 mM (S4mM). At least 48 h later, they were subjected to two experimental trials (non-alcohol or alcohol) in which they performed two 1-km running sessions at the following intensities: 1) S4mM; 2) 15% above S4mM. In both trials, blood lactate, triglycerides, and glucose concentrations were measured before and after exercise. The acute alcohol intake increased triglycerides, but not lactate concentration under resting conditions. Interestingly, alcohol intake enhanced the exercise-induced increase in lactate concentration at the two intensities: S4mM (non-alcohol: 4.2±0.3 mM vs alcohol: 4.8±0.9 mM; P=0.003) and 15% above S4mM trial (P=0.004). When volunteers ingested alcohol, triglycerides concentration remained increased after treadmill running (e.g., at S4mM - at rest; non-alcohol: 0.2±0.5 mM vs alcohol: 1.3±1.3 mM; P=0.048). In contrast, glucose concentration was not modified by either alcohol intake, exercise, or their combination. We concluded that an acute alcohol intake changed lactate and lipid metabolism without affecting blood glucose concentration. In addition, the increase in lactate concentration caused by alcohol was specifically observed when individuals exercised, whereas augmented triglycerides concentration was already observed before exercise and was sustained thereafter.


Subject(s)
Humans , Male , Adult , Young Adult , Physical Endurance/drug effects , Blood Glucose/metabolism , Alcohol Drinking/blood , Lactic Acid/blood , Ethanol/metabolism , Alcoholic Beverages/analysis , Physical Endurance/physiology , Triglycerides/blood , Blood Glucose/analysis , Exercise Test , Athletic Performance/physiology
3.
Public Health ; 127(6): 530-7, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23706706

ABSTRACT

OBJECTIVES: To identify the clustering of physical inactivity in leisure, work, commuting and household contexts, and the sociodemographic factors associated with the clustering of inactive behaviour in different domains among Brazilian adults. STUDY DESIGN: Cross-sectional population-based study. METHODS: The study was performed in Florianopolis, capital of Santa Catarina, one of the southern states of Brazil, from September 2009 to January 2010. Adults aged 20-59 years were interviewed. Physical inactivity in each domain was defined as non-participation in specific physical activities, using a validated Brazilian questionnaire. Clustering of physical inactivity was identified by the ratio between observed prevalence and expected prevalence of 16 different combinations. Multinomial logistic regression was used in the analysis of sociodemographic factors associated with clustering of physical inactivity. RESULTS: Of the 1720 interviewees, the greatest differences between the observed and expected proportions were observed in simultaneous physical inactivity in the leisure and household domains for men, and physical inactivity in the leisure domain alone for women (59% and 88%, respectively); these differences were higher than expected if the behaviours were independent. Physical inactivity in two or more domains was observed more frequently in men and in individuals with a higher per-capita family income. Ageing was associated with physical inactivity in three or four domains. CONCLUSIONS: Physical inactivity was observed in different domains according to gender. Men and older individuals with a higher per-capita family income were more likely to exhibit physical inactivity when all domains were considered together.


Subject(s)
Income/statistics & numerical data , Leisure Activities/psychology , Sedentary Behavior , Transportation , Work/psychology , Adult , Age Distribution , Brazil/epidemiology , Cluster Analysis , Cross-Sectional Studies , Family Characteristics , Female , Humans , Male , Middle Aged , Prevalence , Qualitative Research , Sex Distribution , Socioeconomic Factors , Surveys and Questionnaires , Young Adult
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