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Ratory volume in the first second (FEV1), reproducible to within 5 or 200 mL. The largest FEV1 and the largest FVC on any of the acceptable tests were used. Height and weight was measured with a portable Seca stadiometer (Model 708 1314004, Vogel Hake Hamburg, Germany).Curcumin and Pulmonary BTZ043 FunctionStatistical analyses were performed using SPSS statistical software version 16.0 (SPSS Inc, Chicago Il).(b = +4.50 6 SE = 3.37, p = 0.18) associated with curry consumption as well.ResultsThe mean age of the participants was 66 years. (Table 1) Almost 10 of the participants reported consuming curry at least once a week, and 25 reported consuming curry at least once a month. The frequencies of reported daily intake of supplements were about 18 for vitamins A,C, E and D, 6.5 for omega-3 fatty acids, and 2.2 for selenium, with almost all of the remaining individuals reporting no consumption at all. A majority reported consuming at least one serving of fruits or vegetables daily, but about half consumed milk products daily or fish more than 3 times a week. The 370-86-5 chemical information spearman correlations of curry intake with other dietary or supplementary intakes were 0.065 (0.001) for daily vitamin A,C or E supplement intake, 0.058 (p = 0.008) for vitamin D supplement, 0.058 (p = 0.004) for daily omega-3 PUFA supplement intake, 0.032 (p = 0.11) for selenium supplement, 0.067 (p = 0.001) for fish intake 3 or more times a week. 20.019 (p = 0.34) for daily fruits or vegetables intake, and 20.030 25837696 (p = 0.14) for daily milk and daily intake. Table 2 shows in the base model the expected significant independent associations of gender, age, height, height-squared, housing status, smoking, occupational exposure, and asthma/ COPD history with FEV1 , FVC and FEV1/FVC (R2 = 0.51). When added to the base model, curry intake (B = 0.04960.018, p = 0.005) showed an independent positive associations with FEV1 (Model 1). When other dietary and supplementary intakes were added and analyzed simultaneously in the model, curry intake remained independently associated with FEV1. There was a linear trend increase in FEV1 associated with greater frequency of curry intake, controlling for gender, age, height, smoking and other covariables. The test for trend across the frequency categories was significant (p = 0.001) (Figure 1). Compared to participants who rarely or never consumed curry (adjusted mean FEV1 = 1.57 litres), participants who consumed curry occasionally (adjusted mean FEV1 = 1.64 litres), or often (adjusted mean FEV1 = 1.67 litres), or very often (at least weekly to daily, adjusted mean FEV1 = 1.68 litres) showed a 4.3 , 6.7 and 6.3 increase in mean FEV1 respectively. Similar trends were observed for FVC and FEV1/FVC . The association of curry intake (at least once a month) with FEV1 was found to vary significantly by smoking status (current, past, and non-smokers). The test of interaction was significant (p = 0.028). Curry consumption was associated with much greater differences in FEV1 among current smokers and past smokers than among non-smokers. Among current smokers, the adjusted mean FEV1 for non-curry intake was lowest at 1.53 litres; curry intake was associated with 9.2 higher adjusted mean FEV1. Among past smokers, the adjusted mean FEV1 for non-curry intake was 1.63 litres; curry intake more than once monthly was associated with 10.3 higher mean adjusted FEV1. Among non-smokers, the adjusted mean FEV1 for non-curry intake was highest at 1.71 litres, whereas.Ratory volume in the first second (FEV1), reproducible to within 5 or 200 mL. The largest FEV1 and the largest FVC on any of the acceptable tests were used. Height and weight was measured with a portable Seca stadiometer (Model 708 1314004, Vogel Hake Hamburg, Germany).Curcumin and Pulmonary FunctionStatistical analyses were performed using SPSS statistical software version 16.0 (SPSS Inc, Chicago Il).(b = +4.50 6 SE = 3.37, p = 0.18) associated with curry consumption as well.ResultsThe mean age of the participants was 66 years. (Table 1) Almost 10 of the participants reported consuming curry at least once a week, and 25 reported consuming curry at least once a month. The frequencies of reported daily intake of supplements were about 18 for vitamins A,C, E and D, 6.5 for omega-3 fatty acids, and 2.2 for selenium, with almost all of the remaining individuals reporting no consumption at all. A majority reported consuming at least one serving of fruits or vegetables daily, but about half consumed milk products daily or fish more than 3 times a week. The spearman correlations of curry intake with other dietary or supplementary intakes were 0.065 (0.001) for daily vitamin A,C or E supplement intake, 0.058 (p = 0.008) for vitamin D supplement, 0.058 (p = 0.004) for daily omega-3 PUFA supplement intake, 0.032 (p = 0.11) for selenium supplement, 0.067 (p = 0.001) for fish intake 3 or more times a week. 20.019 (p = 0.34) for daily fruits or vegetables intake, and 20.030 25837696 (p = 0.14) for daily milk and daily intake. Table 2 shows in the base model the expected significant independent associations of gender, age, height, height-squared, housing status, smoking, occupational exposure, and asthma/ COPD history with FEV1 , FVC and FEV1/FVC (R2 = 0.51). When added to the base model, curry intake (B = 0.04960.018, p = 0.005) showed an independent positive associations with FEV1 (Model 1). When other dietary and supplementary intakes were added and analyzed simultaneously in the model, curry intake remained independently associated with FEV1. There was a linear trend increase in FEV1 associated with greater frequency of curry intake, controlling for gender, age, height, smoking and other covariables. The test for trend across the frequency categories was significant (p = 0.001) (Figure 1). Compared to participants who rarely or never consumed curry (adjusted mean FEV1 = 1.57 litres), participants who consumed curry occasionally (adjusted mean FEV1 = 1.64 litres), or often (adjusted mean FEV1 = 1.67 litres), or very often (at least weekly to daily, adjusted mean FEV1 = 1.68 litres) showed a 4.3 , 6.7 and 6.3 increase in mean FEV1 respectively. Similar trends were observed for FVC and FEV1/FVC . The association of curry intake (at least once a month) with FEV1 was found to vary significantly by smoking status (current, past, and non-smokers). The test of interaction was significant (p = 0.028). Curry consumption was associated with much greater differences in FEV1 among current smokers and past smokers than among non-smokers. Among current smokers, the adjusted mean FEV1 for non-curry intake was lowest at 1.53 litres; curry intake was associated with 9.2 higher adjusted mean FEV1. Among past smokers, the adjusted mean FEV1 for non-curry intake was 1.63 litres; curry intake more than once monthly was associated with 10.3 higher mean adjusted FEV1. Among non-smokers, the adjusted mean FEV1 for non-curry intake was highest at 1.71 litres, whereas.

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Author: Proteasome inhibitor