| Literature DB >> 35321735 |
Nicole Meier1, Till Nägler1, Robin Wald1, Annette Schmidt2.
Abstract
BACKGROUND: To combat the spread of SARS-CoV-2, CrossFit® training centers, and fitness studios were closed during the first lockdown in Germany from mid-March until June 2020, and as a result, CrossFit® (CFA) or weightlifting athletes (WLA) faced a major challenge for the first time. Therefore, this study aimed to investigate the impact of the first lockdown on the training behavior and to analyze the way the athletes dealt with the new situation. In detail, we focus on habits of purchase and examine the acceptance of digital sports offers between CFA and WLA in response to the restrictions of the nationwide lockdown.Entities:
Keywords: COVID-19; CrossFit® performance; Lockdown; Physical activity; Public health; Weightlifting
Year: 2022 PMID: 35321735 PMCID: PMC8940977 DOI: 10.1186/s13102-022-00436-y
Source DB: PubMed Journal: BMC Sports Sci Med Rehabil ISSN: 2052-1847
Overview about demographic and anthropometric data of the participants
| Total | Women | Men | Diverse | |
|---|---|---|---|---|
| Completed questionnaires | 100% (484) | 39.7% (192) | 59.9% (290) | 0.4% (2) |
| Age (years) | 31 (18–65) | 33 (19–63) | 29 (18–65) | 32 (31–33) |
| Hight (cm) | 176 (155–201) | 168 (155–188) | 181 (167–201) | 162 (160–164) |
| Weight (kg) | 76 (48–130) | 65 (48–116) | 84 (57–130) | 69 (57–80) |
| Educational degree | ||||
| Secondary school | 3.5% (17) | 4.7% (9) | 2.7% (8) | – |
| Completed vocational training | 6.4% (31) | 7.8% (15) | 5.5% (16) | – |
| High school | 28.9% (140) | 18.8% (36) | 35.9% (104) | – |
| Bachelor | 25.0% (121) | 23.4% (45) | 26.2% (76) | – |
| Master | 33.1% (160) | 42.2% (81) | 26.9% (78) | 50% (1) |
| Doctor | 3.1% (15) | 3.1% (6) | 2.8% (8) | 50% (1) |
| Employment | ||||
| Student | 33.0% (160) | 21.3% (41) | 41.0% (119) | – |
| Employee | 53.1% (257) | 62.5% (120) | 46.6% (135) | 100% (2) |
| Official | 8.3% (40) | 9.4% (18) | 7.6% (22) | – |
| Self-employed | 4.5% (22) | 5.2% (10) | 4.1% (12) | – |
| Homemaker | 0.4% (2) | 1.0% (2) | – | – |
| Pensioner | 0.2% (1) | 0.5% (1) | – | – |
| Unemployed | 0.4% (2) | – | 0.7% (2) | – |
| Income, net monthly (€) | ||||
| Less than 500 | 1.2% (6) | 2.1% (4) | 0.7% (2) | – |
| 500–1500 | 9.7% (47) | 11.5% (22) | 8.6% (25) | – |
| 1500–2500 | 37.4% (181) | 34.9% (67) | 39.0% (113) | 50.0% (1) |
| 2500–3500 | 30.0% (145) | 27.6% (53) | 31.7% (92) | – |
| 3500–4500 | 8.3% (40) | 8.3% (16) | 8.3% (24) | – |
| 4500 and more | 4.8% (23) | 3.6% (7) | 5.2% (15) | 50.0% (1) |
| Not specified | 8.7% (42) | 12.0% (23) | 6.6% (19) | – |
| Regular working time per week (h) | 37 (0–60) | 39 (0–60) | 37 (0–60) | 40 (39–40) |
| Training experience | ||||
| Less than 3 months | 3.1% (15) | 0.5% (1) | 4.8% (14) | – |
| 3–6 months | 5.8% (28) | 4.4% (8) | 6.9% (20) | – |
| 6–12 months | 9.5% (46) | 11.5% (22) | 8.3% (24) | – |
| 12–24 months | 17.1% (83) | 21.9% (42) | 14.1% (41) | – |
| More than 24 months | 64.5% (312) | 62.0% (119) | 65.9% (191) | 100% (2) |
| Training days per week | ||||
| 1 | 3.9% (19) | 3.1% (6) | 4.5% (13) | – |
| 2 | 14.9% (72) | 16.1% (31) | 14.1% (41) | – |
| 3 | 29.8% (144) | 31.8% (61) | 27.9% (81) | 50% (1) |
| 4 | 26.4% (128) | 26.0% (50) | 26.9% (78) | – |
| 5 and more | 25% (121) | 22.9% (44) | 26.6% (77) | 50% (1) |
If units are given, first value shows the mean, and the range is given in brackets. For the rest the percentage is given, and the total number is given in brackets
Comparison of attendees doing CrossFit® or weightlifting as a primary sport
| CrossFit® | Weightlifting | ||
|---|---|---|---|
| Gender | < 0.001 | ||
| Women | 68.2% (131) | 31.8% (61) | |
| Men | 45.9% (133) | 54.1% (157) | |
| Diverse | 100% (2) | 0% (0) | |
| Training experience | 0.055 | ||
| Less than 3 months | 2.6% (7) | 3.7% (8) | |
| 3–6 months | 4.9% (13) | 6.9% (15) | |
| 6–12 months | 12.0% (32) | 6.4% (14) | |
| 12–24 months | 19.9% (53) | 13.8% (30) | |
| More than 24 months | 60.5% (161) | 69.3% (151) | |
| Working time per week (before) | 0.003 | ||
| Less than 10 h | 1.6% (4) | 1.9% (4) | |
| 10–19 h | 2.0% (5) | 6.1% (13) | |
| 20–29 h | 10.6% (27) | 9.9% (21) | |
| 30–39 h | 26.8% (68) | 39.0% (83) | |
| 40 h and more | 59.1% (150) | 43.2% (92) | |
| Working time per week (during) | 0.164 | ||
| Less than 10 h | 8.6% (22) | 3.8% (8) | |
| 10–19 h | 8.2% (21) | 9.9% (21) | |
| 20–29 h | 12.1% (31) | 10.8% (23) | |
| 30–39 h | 27.0% (69) | 33.5% (71) | |
| 40 h and more | 44.1% (113) | 42.0% (89) | |
| Training days per week (before) | 0.04 | ||
| 1 | 2.6% (7) | 5.5% (12) | |
| 2 | 14.7% (39) | 15.1% (33) | |
| 3 | 27.4% (73) | 32.6% (71) | |
| 4 | 25.2% (67) | 28.0% (61) | |
| 5 and more | 30.1% (80) | 18.8% (41) | |
| Training days per week (during) | 0.005 | ||
| 1 | 9.1% (21) | 9.1% (17) | |
| 2 | 15.5% (36) | 20.4% (38) | |
| 3 | 25.4% (59) | 29.0% (54) | |
| 4 | 18.5% (43) | 25.8% (48) | |
| 5 and more | 31.5% (73) | 15.6% (29) | |
| Additional sports (before) | 0.004 | ||
| None | 53.0% (141) | 42.2% (92) | |
| Endurance | 25.2% (67) | 27.5% (60) | |
| Ballgames | 7.5% (20) | 12.8% (28) | |
| Climbing | 0.8% (2) | 3.2% (7) | |
| HIIT, other | 0.8% (2) | 0.9% (2) | |
| Fight sport | 2.6% (7) | 6.4% (14) | |
| Dancing | 2.3% (6) | 2.8% (6) | |
| Weightlifting | 5.3% (14) | 0.5% (1) | |
| Yoga | 1.5% (4) | 2.8% (6) | |
| Others | 1.1% (3) | 0.9% (2) | |
| Additional sports (during) | 0.003 | ||
| None | 49.6% (132) | 39.0% (85) | |
| Endurance | 28.9% (77) | 28.9% (63) | |
| Ballgames | 6.0% (16) | 12.4% (27) | |
| Climbing | 0.8% (2) | 3.2% (7) | |
| HIIT, other | 0.8% (2) | 0.5% (1) | |
| Fight sport | 2.6% (7) | 5.5% (12) | |
| Dancing | 1.9% (5) | 2.8% (6) | |
| Weightlifting | 4.9% (13) | 0.5% (1) | |
| Yoga | 2.6% (7) | 3.2% (7) | |
| Home workouts | 1.1% (3) | 3.2% (7) | |
| Others | 0.8% (2) | 0.9% (2) |
p values were calculated using Chi-squared test (before: time before lockdown; during: time during lockdown). If units are given, first value shows the mean, and the range is given in brackets. For the rest the percentage is given, and the total number is given in brackets
Fig. 1The training days (1–5 +) of all athletes before (left box) and during (right box) the first lockdown in Germany were analyzed in combination with buying of new equipment (A, B), usage of digital sport offers (C, D) and the loss of 5 kg body mass (BM) or more (E, F)
Fig. 2Usage of digital sport offers before (green bars) and during (blue bars) the first lockdown in Germany (indicated as ‘before’ and ‘during’). Participants were subdivided according to their primary sport (CrossFit® or weightlifting). The groups were separated on the amount of training days before the lockdown (A, B) the age (C, D), and how much they pay attention to their nutrition (E, F)
Fig. 3Distribution of weight changes during the lockdown divided into athletes doing CrossFit® (green bars) or weightlifting (blue bars). Meaning of the numbers within the bars: 5: weight increase by 5 kg and more; 4: weight increase by around 4 kg; 2: weight increase by around 2 kg; 0: 0 kg weight more or less = unchanged; − 2: weight decrease by around 2 kg; − 4: weight decrease by around 4 kg; − 5: weight decrease by 5 kg or more)
Overview about all significant differences of CFA who declared to have lost 5 kg or more (CF5 group) with all the others
| CF5 group | All others | ||
|---|---|---|---|
| Age (years) | 33.9 ± 8.4 | 29.0 ± 7.8 | < 0.001 |
| Gender | < 0.001 | ||
| Women | 53.30% | 33.60% | |
| Men | 46.50% | 65.80% | |
| Diverse | 0% | 0.60% | |
| Height (cm) | 173 ± 8.8 | 177 ± 8.9 | < 0.001 |
| Weight (kg) | 72.8 ± 12.5 | 78.0 ± 13.6 | < 0.001 |
| Exercises with a partner | 54.90% | 35.70% | < 0.001 |
| Exercises to build muscle | 69.70% | 78.60% | 0.039 |
| Exercises to improve aesthetics | 38.00% | 53.30% | 0.002 |
| Training-days per week | |||
| Before | 3.8 ± 1.1 | 3.4 ± 1.1 | 0.004 |
| During | 3.6 ± 1.2 | 3.2 ± 1.4 | 0.005 |
| Trains to improve health | |||
| Before | 81.00% | 72.00% | 0.039 |
| During | 87.90% | 78.30% | 0.018 |
| Short time work because of the lockdown | 12.70% | 3.90% | < 0.001 |
| Compulsory leave because of the lockdown | 7.00% | 1.80% | 0.004 |
| Income, net monthly (€) | 0.001 | ||
| Less than 500 | 2.40% | 1.00% | |
| 500–1500 | 6.50% | 11.50% | |
| 1500–2500 | 31.70% | 45.40% | |
| 2500–3500 | 40.70% | 29.70% | |
| 3500–4500 | 8.10% | 9.30% | |
| 4500 and more | 10.60% | 3.20% | |
Before meaning information on the situation before the lockdown; during meaning information on the situation during the lockdown. Values are given as a percentage or mean value with standard deviation