Background Since cardiorespiratory fitness is an important predictor for all-cause mortality, it is of interest to know if meeting the physical activity (PA) recommendations is associated with higher levels of maximal oxygen uptake (VO2max). We aimed to investigate the association between total PA level given as counts per minute (cpm) and minutes in moderate-to-vigorous PA (MVPA), and VO2max in new fitness club members. Methods A total of 62 men and 63 women (≥ 18 years), defined as healthy (no disease considered to hinder PA) participated in this study. VO2max (mL kg−1 min−1) was measured with a cardiopulmonary exercise (modified Balke protocol), and total PA level was measured with ActiGraph GT1M for seven consecutive days. All participants accumulating ≥ 10 h of activity recordings ≥ 4 days were included in the data analysis. To examine associations between PA level and VO2max, a Pearson correlation and a multiple linear regression analysis adjusted for covariates were used. Results VO2max (mL kg−1 min−1) was 40.5 ± 7.2 in men and 35.1 ± 6.0 in women. Total PA level (cpm) and MVPA (min) were 352.4 ± 123.4 and 260.0 ± 132.6 in men and 361.4 ± 103.8 and 273.2 ± 137.0 in women. Total PA level (men: r = 0.346, p < 0.01, women: r = 0.267 p < 0.01) and MVPA (men: r = 0.359, p =  < 0.01, women: r = 0.236, p = 0.03) was associated with VO2max. When adjusting for age and body fat percentage, total PA level and MVPA were no longer associated with VO2max (men: p = 0.11 and p = 0.79, women: p = 0.40 and p = 0.61). In men, age (β = − 0.469 p < 0.01) and body fat percentage (β = − 0.483, p < 0.01) were the strongest predictor for VO2max. For women, body fat percentage was the strongest predictor for VO2max (β = − 0.483, p < 0.01). Conclusions Total PA level and MVPA were associated with VO2max, but the association was low and diminished when adjusted for age and body fat percentage. Body fat percentage (men and women) and age (men) were more strongly associated with VO2max than total PA level and MVPA.

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IntroductionDue to the Coronavirus pandemic, politicians enacted directions to reduce social interactions, including lockdown of fitness clubs. We aimed to investigate how this changed exercise habits of Norwegian gym members.MethodBased on survey data, men and women (≥18 years, n = 233, data collection from Aug. 2020 to Jan. 2021) were recruited to this study by an email-invitation from their fitness club chain or by Facebook advertisement. The participants reported on background variables (e.g., age, gender, total household income, occupation, and education), and exercise habits pre- and during social lockdown. Data were analyzed using independent or student t-test, chi-squared test, or McNemar's test, as appropriate.ResultsHome-based exercise (18.0 vs. 72.5%, p = &lt;0.001), walking (49.8 vs. 65.2%, p = &lt;0.001), and cycling (16.7 vs. 24.5%, p = 0.004) was more common during than pre-lockdown. Also, men (4.33 to 3.68 days/week, p =0.013) and women (4.20 to 3.79 days/week, p = 0.001) reported a lower exercise frequency, and a shorter duration. Exercise frequency was lower in those with a BMI ≥25 than in those with BMI &lt;25 (3.95 vs. 4.48 days/week, p = &lt;0.007) pre-lockdown. High exercise attendees (≥3 sessions/week, 66.5%) reported a smaller decrease in exercise frequency (mean change: 0.06 vs. 1.24 days/week, p = &lt;0.001) and duration (&gt;60 min. per session: 33.0 vs. 3.8%, p = &lt;0.001) than low exercise attendees during lockdown.DiscussionHome-based exercise, walking, and cycling were most frequently reported during lockdown. Participants reported a small decrease in exercise duration and frequency compared with pre-lockdown. Closure of fitness clubs impacted low attendees more than high attendees.

Fitness clubs are one of the largest exercise arenas worldwide. Still, membership withdrawal and exercise dropout rates are 40-65% in the first six months. One important approach to retaining members may be to create an environment that feels inclusive, and clusters members with mutual needs and interests. Increased knowledge in this field can provide valuable information that leads to more effective exercise promotion strategies and better retention rates, important to the long-term success of the gym and public health. Thus, we aimed to compare background factors, motivation, and social support between members of multipurpose (wide range of exercise concepts/facilities, middle to high membership fee), fitness-only (low membership fee), and boutique (one or two specialized exercise concepts, high membership fee) fitness clubs. A total of 232 members from multipurpose (n = 107), fitness-only (n = 52), and boutique gyms (n = 73) were recruited for this cross-sectional study. Data included background variables (age, gender, body weight and height, smoking, total household income, occupation, education, and general health), exercise behaviour, exercise motivation, and social support. A one-way between-group ANOVA with Bonferroni correction or a chi-square test was used as appropriate. Multipurpose and fitness-only members were older (mean diff: 9.1 years, p = <0.001) and exercised less (mean diff: 1-1.2 sessions/week, p = <0.001) than members from boutique clubs. Compared with multipurpose and fitness-only members, members from boutique clubs reported the highest autonomous motivation (intrinsic regulation: mean diff: 0.3, p = 0.030), and perceived greater social support from family/friends (mean diff: 6.4 to 6.6, p = <0.001). Boutique members were younger, exercised more, and reported higher autonomous motivation and social support than multipurpose and fitness-only members. Our results suggest that exercise enjoyment and a social community, the “philosophy” of boutique gyms, may be important for regular exercise.

Fitness clubs are one of the largest exercise arenas worldwide. Still, membership withdrawal and exercise dropout rates are 40-65% in the first six months. One important approach to retaining members may be to create an environment that feels inclusive, and clusters members with mutual needs and interests. Increased knowledge in this field can provide valuable information that leads to more effective exercise promotion strategies and better retention rates, important to the long-term success of the gym and public health. Thus, we aimed to compare background factors, motivation, and social support between members of multipurpose (wide range of exercise concepts/facilities, middle to high membership fee), fitness-only (low membership fee), and boutique (one or two specialized exercise concepts, high membership fee) fitness clubs. A total of 232 members from multipurpose (n = 107), fitness-only (n = 52), and boutique gyms (n = 73) were recruited for this cross-sectional study. Data included background variables (age, gender, body weight and height, smoking, total household income, occupation, education, and general health), exercise behaviour, exercise motivation, and social support. A one-way between-group ANOVA with Bonferroni correction or a chi-square test was used as appropriate. Multipurpose and fitness-only members were older (mean diff: 9.1 years, p = <0.001) and exercised less (mean diff: 1-1.2 sessions/week, p = <0.001) than members from boutique clubs. Compared with multipurpose and fitness-only members, members from boutique clubs reported the highest autonomous motivation (intrinsic regulation: mean diff: 0.3, p = 0.030), and perceived greater social support from family/friends (mean diff: 6.4 to 6.6, p = <0.001). Boutique members were younger, exercised more, and reported higher autonomous motivation and social support than multipurpose and fitness-only members. Our results suggest that exercise enjoyment and a social community, the “philosophy” of boutique gyms, may be important for regular exercise.