Effects of profuse sweating induced by exercise on urinary uric acid excretion in a hot environment.
In order to determine whether exercise-induced profuse sweating could reduce urinary uric acid excretion, we simulated badminton players training and measured their uric acid in urine, sweat and blood during the training period. Thirteen male volunteers who were well-trained badminton players were recruited in this study. On the first 2 days and the last 2 days of the study period none of the subjects engaged in any intense exercise- or activity-inducing profuse sweat, but they accepted routine training 2 h per day during the middle 3 days. The results show that mean serum urate levels of thirteen volunteers rose significantly on day 4, when the concentrations increased by 18.2% over day 2 (P < 0.05). The mean ten-hour urinary uric acid excretion of seven volunteers on the 3 training days was significantly less at 178.5 micromol/day and 118.3 micromol/day than those on the preceding and subsequent days of the training days, respectively (P < 0.05). Furthermore, for six volunteers, the mean ratio of clearance of uric acid to creatinine was 6.6% on day 2, which significantly decreased to 5.4% on day 4 (P < 0.05). It is concluded profuse sweating exercise results in a decrease of urinary uric acid excretion amounts and leads to increased serum uric acid after the exercise. We suggest that persons who take vigorous exercise or are exposed to hot environments need drinking enough fluids to prevent dehydration and maintain adequate urinary output. People with profuse sweat after rigorous exercise are recommended taking sports drinks containing abundant sodium in order to decrease serum uric acid.
Available from: Efstratios Maltezos
- "In particular, SUA levels have not been examined in diabetic patients with sudomotor dysfunction. Of note, there is evidence linking SUA levels and the amount of sweating, at least in healthy volunteers ; however, the effect of sudomotor dysfunction on this relationship is unclear. Thus, we examined the association between SUA and sudomotor dysfunction in patients with T2DM. "
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ABSTRACT: The aim of this paper was to assess serum uric acid (SUA) levels in patients with type 2 diabetes mellitus (T2DM) with or without sudomotor dysfunction (evaluated by the Neuropad test). We included 36 T2DM patients with sudomotor dysfunction (group A: mean age 63.1 ± 2.6 years) and 40 age-, gender-, renal function- and T2DM duration-matched patients without sudomotor dysfunction (group B: mean age 62.1 ± 3.1 years). SUA was significantly higher in group A (P < 0.001). There was a significant correlation between SUA and Neuropad time to colour change in both groups (group A: r(s) = 0.819, P < 0.001; group B: r(s) = 0.774, P < 0.001). There was also a significant positive correlation between SUA and CRP in both groups (group A: r(s) = 0.947, P < 0.001; group B: r(s) = 0.848, P < 0.001). In conclusion, SUA levels were higher in T2DM patients with sudomotor dysfunction than those without this complication. The potential role of SUA in sudomotor dysfunction merits further study.
Available from: journal.skums.ac.ir
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ABSTRACT: We aimed to explore correlations between lifestyle choices and hyperuricemia in a large Chinese population, emphasizing the differences from opposite sex. Ten thousand four hundred fifty subjects were randomly recruited from Tianjin municipality in China. Hyperuricemia was defined as serum uric acid >420 μmol/L for men and >360 μmol/L for women. Demographic data, highest education degree, work type, commuting means, smoking and drinking status, exercise frequency, and quantitative assessments of dietary factors were collected. Anthropometric measurements and fasting blood tests were performed. Statistical analyses were conducted. Total hyperuricemic prevalence was 12.89 %, with male significantly higher than female. Body mass index, waist circumference, serum indices, and age displayed high correlation coefficients, and most lifestyle factors also showed significant correlations as well. Binary logistic regression models showed odds ratio of developing hyperuricemia were much greater in males than in females by eating habits. However, physical activity-related lifestyle choices tended to cast much greater influences on the likelihood of hyperuricemia in females. Lifestyle choices and hyperuricemia are closely related. For males, eating habits have greater influences on the likelihood of developing hyperuricemia. For females, lifestyle factors like work type, commuting method, and exercise have such effects.
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