Characteristics of 25–65 year-old subjects included in the study (n = 16,011), according to smoking status.

<p>Figures are numbers (percentages of that characteristic in each smoking status group) unless stated otherwise.</p

Overview of the analysis of thresholds in the relationships between the quantity of smoking and HRQoL in current daily smokers.

<p>Thresholds and estimates of effects*.</p><p>* Estimates adjusted for socioeconomic variables, CESD, BMI, co-intoxication and comorbidities.</p><p>** Threshold (estimate of effect) is shown; here for example, a man aged 25–44 loses 0.02SDS of physical functioning per cigarette smoked above 5 cig./day.</p><p>*** There are two thresholds, with a plateau effect at the second threshold; here for example a man aged 25–44 gains 0.22 SDS for the bodily pain score per cigarette smoked up to 5 per day, <i>plus</i> loses 0.22 SDS per cigarette smoked above 5 cig./day.</p

Multivariate associations between smoking status and HRQoL (SF-36 scales), stratified by gender and age group.

<p>The never smoker group is used as the reference.</p><p>Model A: estimates (95% confidence interval) adjusted for socioeconomic variables (education, occupation, and income); Model B: estimates (95% confidence interval) adjusted for socioeconomic variables and CESD score; Model C: estimates (95% confidence interval) adjusted for socioeconomic variables, CESD, BMI, co-intoxication and comorbidities. For the sake of readability, only significant associations are reported in the table.</p

Patterns of relationships found in this study.

<p>Women, positive associations.</p

Percent category (PC) depending on temperature: comparison of temperature at different level from 97 PC to 100 PC in 100 m, 200 m, 400 m, 800 m and 1500 m.

<p>Respectively, in each half PC the mean are 23.12°C, 23.49°C, 23.23°C, 22.89°C, 22.63°C and 23.25°C and the median are 23.00°C, 23.00°C, 22.00°C, 22.00°C, 21.00°C and 22.50°C. INSET: Temperature density (ie. number of recorded temperatures) per PC computed over a mesh. The maximal density is computed at 23°C and 97.59% and progressively decreases as PC increase (due to the decrease in performance number). The density decreases as temperature increases or decreases from the maximal density (due to the effect of temperature on performance).</p

Relation between day of the performance and year in men and women.

<p><b>A.</b> Average day of the achievement of the performance in the top 10 at the 100^th ±49.77. <b>B.</b> Average day of the achievement of the performance in the top 10 at the 100 m women since 1921. For all years combined, the average day is the 202.52^th±44.0.</p

A. Distribution of world records (WR) date (day) in 100 m, 200 m, 400 m, 800 m and 1500 m running events from 1952 to 2010. B. Mean distribution of world records (WR) date (day) in 100 m, 200 m, 400 m, 800 m and 1500 m running events by decade from 1952 to 2010. The mean date is: 206,09 th day.

<p>A. Distribution of world records (WR) date (day) in 100 m, 200 m, 400 m, 800 m and 1500 m running events from 1952 to 2010. B. Mean distribution of world records (WR) date (day) in 100 m, 200 m, 400 m, 800 m and 1500 m running events by decade from 1952 to 2010. The mean date is: 206,09 th day.</p

Figure 1. Number of performances per week and per percent category (PC) by (i) major competitions (Olympic Games (OG), World Championships (WC), American selections (US), European championships (EC)), (ii) Golden League and the others meetings (iii).

<p>INSET: Dates (week) of peaks performance modeling by PC.</p