From Short Walks to Long Runs: Embracing all Strides for Marathon Monday – Data

The data presented below provide supplemental details for the study update: From Short Walks to Long Runs: Embracing all Strides for Marathon Monday.

 

Table 1. Characteristics of the “running” population.

Characteristic OverallLess than 5k5k10kHalf marathonMarathon or longer
Total participants9943148918310471262751141725
Age category, N (%)
18-2414643 (14.7)8690 (17.8)3895{12.5)1382 (10.9)533 (10.4)143 (8.3)
25-3430092 (30.3)15114 (30.9)9281 (29.9)3598 (28.5)1569 (30.7)530 (30.7)
35-4427521 (27.7)12404 (25.4)9073(29.2)3870 (30.6)1589 (31.1)585 (33.9)
45-5416497 (16.6)7247 (14.8)5506 (17.7)2442 (19.3)983 (19.2)319 (18.5)
55-647089 (7.1)3446 (7.0)2224 (7.2)970 (7.7)328 (6.4)121 (7.0)
65 +3589 (3.6)2017 (4.1)1068 (3.4)365 (2.9)112 (2.2)27 (1.6)
Assigned sex, N (%)
Female30436 (30.6)17042 (34.8)8678 (28.0)2955(23.4)1383(27.0)378 (21.9)
Male68673 (69.1)31701 (64.8)22269 (71.7)9635(76.3)3723(72.8)1345(78.0)
Intersex81 (0.1)42 (0.1)25 (0.1)10 (0.1)4(0.1)0 (0.0)
Missing81 (0.1)44(0.1)26(0.1)9(0.1)1 (0.0)1 (0.1)
Race/ethnicity, N (%)
Asian7760 (7.8)4065(8.3)2393(7.7)856 (6.8)336 (6.6)110 (6.4)
Hispanic 11963 (12.0)6271 {12.8)3758(12.1)1301 (10.3)472 (9.2)161 (9.3)
Non-Hispanic black3948 (4.0}2265 (4.6)1085(3.5)436 (3.5)130 (2.5)32 {1.9)
Non-Hispanic white69680 (70.1)33046 (67.6)22048 (71.0)9343 (74.0)3902 (76.3)1341 (77.7)
More than one3330 (3.3)1812 (3.7)928 (3.0)383 (3.0)160 (3.1)47 (2.7)
Other 2318 (2.4)1244 (2.5)706 (2.3)252 (2.0)92 (1.8)24 (1.4)
Prefer not to answer432 (0.4)215 (0.4)129 (0.4)55 (0.4)22 (0.4)10 (0.6)
BMI, N (%)
Underweight
(<18.5)
1245(1.3)752 (1.6)309 (1.0)120 (1.0)47 (0.9)17 (1.0)
Healthy weight
(18.5 to <25)
37938 (38.5)16572 (34.2)12078 (39.2)5766 (45.9)2552 (50.1)970 (56.5)
Overweight
(25.0 to <30)
37776 (38.3)17738 (36.7)12531 (40.7)4992 (39.8)1922 (37.7)593 (34.5)
Obese
(30.0 +)
21622 (21.9)13329 (27.5)5906 (19.2)1675(13.3)574 (11.3)138 (8.0)
Missing850
Region, N (%)
Northeast17147 (17.2)8114 (16.6)5541 (17.8)2183(17.3)992 (19.4)317 (18.4)
Midwest18730 (18.8)9312 (19.0)5765(18.6)2323 (18.4)975 (19.1)355 (20.6)
South33220 (33.4)16785 (34.3)10260 (33.0)4039 (32.0)1594 (31.2)542 (31.4)
West30066 (30.2)14572 (29.8)9384 (30.2)4055 (32.1)1546 (30.2)509 (29.5)
Territories237 (0.2)116 (0.2)88 (0.3)24 (0.2)7 (0.1)2(0.1)

Table 1 represents the demographics for the AH&MS participants highlighted in the analyses in From Short Walks to Long Runs: Embracing all Strides for Marathon Monday who recorded and shared at least one running workout and had filled out a demographic survey in the period studied, November 14, 2019, to January 1, 2024. The BMI categories were defined based on the BMI classification from the Center for Disease Control and Prevention.

Table 2. Characteristics of the “walking” population.

Characteristic OverallLess than 5k5k10kHalf marathonMarathon or longer
Total participants1977179152679176245322230253
Age category, N (%)
18-2424463 (12.4)13171 (14.4)8715 (11.0)2396 (9.8)167 (7.5)14 (5.5)
25-3453953 (27.3)26343 (28.8)21298 (26.9)5827 (23.8)455 (20.4)30 (11.9)
35-4453064 (26.8)25107 (27.4)21496 (27.1)5883 (24.0)525 (23.5)53 (20.9)
45-5434823 (17.6)14313 (15.6)14793 (18.7)5143 (21.0)516 (23.1)58 (22.9)
55-6418517 (9.4}6912(7.6)7880 (10.0)3353 (13.7)330 (14.8)42 (16.6)
65 +12897 (6.5)5680 (6.2)4994 (6.3)1930 (7.9)237 (10.6)56 (22.1)
Assigned sex, N (%)
Female72490 (36.7)37915 (41.4)27352 (34.5)6586 (26.8)573 (25.7)64 (25.3)
Male124496 (63.0)53199 (58.1)51578 (65.1)17878 (72.9)1652 (74.1)189 {74.7)
Intersex154 (0.1)74 (0.1)60 (0.1)20 (0.1)0 (0.0)0 (0.0)
Missing577 (0.3)338 (0.4)240 (0.3)48 (0.2)5 (0.2)0 (0.0)
Race/ethnicity, N (%)
Asian12397 (6.3)5089 (5.6)5429 (6.9)1707 (7.0)155(7.0)17(6.7)
Hispanic 21965 (11.1}11457 (12.5)8096 (10.2)2199 (9.0)194 (8.7)19(7.5)
Non-Hispanic black8332 (4.2)4537 (5.0)2826 (3.6)869 (3.5)88 (3.9)12(4.7)
Non-Hispanic white142608 (72.1)64274 (70.2)58175 (73.5)18302 (74.6)1664 (74.6)193 (76.3)
More than one6800 (3.4)3457 (3.8)2531(3.2)733 (3.0)75 (3.4)4 (1.6)
Other 4718 (2.4)2276 (2.5)1799 (2.3)595 (2.4)42 (1.9)6 (2.4)
Prefer not to answer897 (0.5)436 (0.2)320 (0.2)127 (0.1)12 (0.0)2 (0.0)
BMI, N (%)
Underweight
(<18.5)
2691 (1.4)1489 (1.7)885(1.1)285 (1.2)28 (1.3)4 (1.6)
Healthy weight
(18.5 to <25)
61370 (31.4)24227 (26.9)26494 (33.8)9656 (39.6)895 (40,4)98 (39.0)
Overweight
(25.0 to <30)
68430 (35.0)28573 (31.7)29422 (37.5)9465 (38.8)864(39.0)106 (42.2)
Obese
(30.0 +)
63038 (32.2)35936 (39.8)21646 (27.6)4987 (20.4)426 (19.2)43(17.1)
Missing2188 (1.1)1301 (1.4)729 (0.9)139 (0.6)17 (0.8)2 (0.8)
Region, N (%)
Northeast33146 (16.8)14346 (15.7)14002 (17.7)4381 (17.9)373 (16.7)44 (17.4)
Midwest38365 (19.4)18354 (20.1)15444 (19.5)4169 (17.0)359 (16.1)39 (15.4)
South68136 (34.5)34501 (37.7)25783 (32.6)7122 (29.0)641 (28.7)89 (35.2)
West57579 (29.1)24070 (26.3)23774 (30.0)8802 (35.9)852 (38.2)81 (32.0)
Territories406 (0.2)205 (0.2)147 (0.2)50 (0.2)4 (0.2)0 (0.0)
Missing85 (0.0)50 (0.1)26 (0.0)8 (0.0)1 (0.00 (0.0)

Table 2 represents the demographics for the AH&MS participants who recorded and shared at least one walking workout and had filled out a demographic survey in the period analyzed.

Table 3. Marathons run by individual month aggregated.

Month Number of marathon runs
January187
February93
March169
April241
May197
June104
July74
August74
September198
October641
November427
December218

Table 3 represents the number of running workouts labeled as marathons based on total distance grouped by event date’s month. All years were merged to determine the most popular month from November 14, 2019, to Jan 1, 2024.

Table 4. Marathons run by individual month.

MonthNumber of marathon runsMonthNumber of marathon runs
2019
November5
December14
20202022
January19January69
February13February35
March29March51
April14April90
May13May66
June7June29
July6July27
August15August14
September18September56
October70October175
November24November139
December21December68
20212023
January17January82
February9February36
March19March70
April26April111
May37May81
June19June49
July14July27
August13August32
September54September70
October195October201
November142November117
December45December70

Table 4 represents the number of running workouts labeled as marathons based on total distance grouped by event date’s month. All months are represented individually.

Table 5. Average distance run per week during training by race day speed.

Week NumberBottom 10% Middle 10%Top 10%
-1214.318.532
-111521.538.8
-1016.222.138.8
-916.424.140.3
-817.324.140.5
-717,125.840.3
-617.825.641.4
-717.125.840.3
-418.228.243.4
-318.127.844.4
-216.726.741.3
-115.920.635.5
035.135.843.5
110.911.115.8
213.215.225.7
312.917.228.8
412.516.729.3

Table 5 represents the average weekly distance of marathon runners grouped by their marathon time in the twelve weeks leading up to the run (shown as negative numbers), the week of the marathon (shown as a zero), and the four weeks after (positive numbers). The top 10% of runners had a total time of 3 hours 27 minutes or less; the middle 10% had a total time of 4 hr 31 min to 4 hr 46 min; and the bottom 10% had a total time of 6 hr 5 min or more. Each group represented 127 runners out of the 1272 cohort, and if runners had multiple marathons, the fastest finishing time was chosen.

Table 6. VO2 max changes in training period

VO2 max changes (mL/kg/min)N (%)
No detectable change169
Decrease >1147
Decrease within 1114
Increase within 1170
Increase >1380
Not enough data292

Table 6 represents the change in VO2 max marathon runners in the Apple Heart and Movement Study in the first 15 days and last 15 days of the training period studied.

For the update and figures associated with this data, please read: From Short Walks to Long Runs: Embracing all Strides for Marathon Monday.

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