Leandro C. Mantoani

Reduction of physical activity in daily life and its determinants in smokers without airflow obstruction

In smokers without airflow obstruction, detailed, objective and controlled quantification of the level of physical inactivity in daily life has never been performed. This study aimed to objectively assess the level of physical activity in daily life in adult smokers without airflow obstruction in comparison with matched non‐smokers, and to investigate the determinants for daily physical activity in smokers.

Does the BODE index reflect the level of physical activity in daily life in patients with COPD

OBJECTIVES To study the relationship between the level of physical activity in daily life and disease severity assessed by the BODE index in patients with chronic obstructive pulmonary disease (COPD). METHODS Sixty-seven patients with COPD (36 men) with forced expiratory volume in the first second (FEV(1)) of 39 (27-47)% predicted and age of 66 (61-72) years old were evaluated by spirometry, dyspnea levels (measured by the Medical Research Council scale, MRC) and by the 6-minute walking test (6MWT). The BODE index was calculated based on the body mass index (weight/height²), FEV(1), MRC and 6MWT, and then the patients were divided in four quartiles according to their scores (Quartile I: 0 to 2 points, n=15; Quartile II: 3 to 4 points, n=20; Quartile III: 5 to 6 points, n=23; Quartile IV: 7 to 10 points, n=9). Two activity monitors (DynaPort® and SenseWear®) were used to evaluate the level of physical activity in daily life. The Kruskal-Wallis test (Dunnss post-hoc test), the Mann-Whitney test and the Spearman Correlation Coefficient were used for statistical analysis. RESULTS There were modest correlation between the BODE index and the time spent walking per day, the total daily energy expenditure and the time spent in moderate and vigorous activities per day (-0.32 ≤ r ≤ -0.47; p≤0.01 for all variables). When comparing the pooled quartiles I+II with III+IV, there were significant difference between the time spent walking per day, the total daily energy expenditure and the time spent in moderate activities per day (p≤0.05). CONCLUSION The level of physical activity in daily life has a modest correlation with the classification of COPD severity assessed by the BODE index, reflecting only differences between patients with classified as mild-moderate and severe-very severe COPD.

Short-Term Effects of Using Pedometers to Increase Daily Physical Activity in Smokers: A Randomized Trial

BACKGROUND: In adults it is recommended that the minimum of 10,000 steps/day should be performed in order to consider an individual as active. The pedometer, a small device that counts steps, has been used to monitor and/or motivate physical activity in various populations. OBJECTIVE: To investigate the short-term effects of a protocol using a pedometer or an informative booklet to increase daily physical activity in apparently healthy smokers who reached or did not reach the minimum public health recommendation of 10,000 steps/day. METHODS: Subjects were randomly assigned to 2 groups: group pedometer (GP, n = 23), who wore a pedometer every day during 1 month, aiming to achieve 10,000 steps/day; and group booklet (GB, n = 17), who received a booklet with encouragement to walk as much as possible in everyday life. Each group was subdivided according to their baseline daily physical activity level: active (subjects who achieved 10,000 steps/day), and inactive (those who did not achieve this minimum). RESULTS: Only the physically inactive GP increased significantly its daily physical activity (pre vs post 7,670 [6,159–9,402] steps/day vs 10,310 [9,483–11,110] steps/day, P < .001), with a concomitant increase in the 6-min walking test (6MWT) distance (mean and interquartile range 540 m [501–586 m] vs 566 m [525–604 m], P = .03). In GP, Δ post-pre steps/day correlated significantly with baseline number of steps/day (r = −0.63, P = .01), but not with 6MWT. In the inactive subjects (summing GP and GB), there were significant correlations between steps/day and cigarettes/day, pack-years, and Fagerström questionnaire (r = −0.55, −0.40, and −0.59, P ≤ .05 for all). Furthermore, improvement in steps/day in the inactive subjects of GP was correlated with baseline cigarettes smoked per day, pack-years, and Fagerström questionnaire (r = 0.51, 0.65 and 0.53, P ≤ .05 for all). CONCLUSIONS: Physically inactive smokers improve their daily physical activity level by using a simple tool (pedometer), and larger improvement occurs in subjects with the lowest levels of physical activity.

Comparison of two strategies using pedometers to counteract physical inactivity in smokers.

INTRODUCTION This randomized crossover trial aimed to compare the effects of 2 different protocols using pedometers and informative booklets to increase physical activity in daily life (PADL) in smokers. METHODS PADL level was assessed at baseline (A1), and subjects were randomly assigned to 2 groups for a month: booklet + pedometer (GB + P; n = 13), which started the protocol receiving a booklet with encouragement to walk as much as possible in everyday life; pedometer + booklet (GP + B; n = 18), which started the protocol wearing a pedometer aiming to achieve 10,000 steps/day. PADL was reassessed (A2), and the interventions were crossed over for 1 month, followed by PADL reassessment (A3). After A3, both groups used pedometers for 3 months aiming to reach 10,000 steps/day, and final PADL assessment was performed (A4). For the analysis, each group was subdivided according to baseline PADL as physically active or inactive, according to having reached or not reached 10,000 steps/day at baseline. RESULTS The physically active subgroups of GB + P and GP + B showed no change in steps/day. The physically inactive subgroup of GP + B significantly increased steps/day at A2 and maintained this increase until A4. The physically inactive subgroup of GB + P initially increased to a lesser extent, reaching borderline statistical significance at A2 and A3 (p = .06) and statistically significant increase only at A4 (p = .02). CONCLUSIONS Both strategies were effective in increasing the number of steps/day in physically inactive smokers after 5 months, although the increase was more quickly obtained in smokers who used pedometers as the first intervention.

Long-term Effects of a Program to Increase Physical Activity in Smokers

BACKGROUND Programs aimed at increasing physical activity in daily life (PADL) have generated growing interest to prevent the deleterious effects of physical inactivity. Recent literature has shown that a short-term protocol using pedometers increased PADL in smokers with normal lung function. However, the long-term effects of such a protocol were not yet studied. The objective of this study was to evaluate the results of 1-year follow-up after a program aimed at increasing PADL in smokers with normal lung function. METHODS Twenty-four smokers were followed (15 men; mean [interquartile range (IQR)], 51 [41-57] years of age; BMI, 26 [22-29] kg/m2; 20 [20-30] cigarettes/d). Subjects were assessed at baseline, immediately after completion of the program, and 1 year later for PADL, lung function, 6-min walking distance (6MWD), smoking habits, quality of life, anxiety, and depression. The 5-month program used pedometers and informative booklets as interventions. RESULTS The gains achieved after the program were maintained in the long term: steps/d (postprogram vs 1-year follow-up, mean [IQR]: 10,572 [9,804-12,237] vs 10,438 [9,151-12,862]); 6MWD (625 [530-694] m, 88 [81-97] % predicted vs 609 [539-694] m, 89 [81-96] % predicted), anxiety (34 [26-41] points vs 35 [36-47] points) and depression (6 [2-9] points vs 5 [2-11] points) (P > .05 for all). One year after the program, 20% of the subjects had quit smoking. CONCLUSIONS In smokers with normal lung function, improvements in daily physical activity, exercise capacity, anxiety, and depression obtained through a 5-month program aimed at increasing physical activity are sustained 1 year after completion of the program. Furthermore, such a program can contribute to smoking cessation in this population.