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Table 1 Total population characteristics by BMI trajectories in NHANES 2005–2018

From: BMI trajectory of rapid and excessive weight gain during adulthood is associated with bone loss: a cross-sectional study from NHANES 2005–2018

 

Slight increase (n = 1252)

Stable (n = 7681)

Increase to decrease (n = 195)

Rapid increase (n = 577)

P-value

Age, mean, years

59.79 (0.30)

61.58(0.18)

56.05(0.55)

57.23(0.28)

 < 0.001

Sex

    

 < 0.001

 Male

690 (58.26)

4498 (55.97)

82 (41.90)

206 (34.71)

 Female

563 (41.74)

3183 (44.03)

113 (58.10)

371 (65.29)

Ethnicity

    

 < 0.001

 Mexican American

233 (7.89)

991 (4.78)

51 (12.16)

85 (6.48)

 Other Hispanic

108 (3.66)

694 (4.15)

18 (4.81)

56 (4.41)

 Non-hispanic white

495 (70.79)

3608 (75.01)

69 (66.66)

195 (65.00)

 Non-hispanic black

378 (14.53)

1554 (8.99)

49 (13.56)

219 (20.33)

 Other race

39 (3.13)

834 (7.08)

8 (2.82)

22 (3.79)

Education

    

0.105

 Less than high school

389 (18.47)

2009 (15.86)

65 (20.19)

168 (16.41)

 High school including GED

305 (28.25)

1867 (25.00)

58 (30.06)

151 (28.57)

 Some college or above

559 (53.28)

3805 (59.14)

72 (49.75)

258 (55.01)

Marital status

    

0.009

 Currently married

760 (66.77)

4927 (68.97)

109 (67.59)

316 (61.36)

 Formerly married

389 (24.79)

2276 (25.45)

66 (25.54)

202 (30.94)

 Never married

104 (8.44)

478 (5.57)

20 (6.86)

59 (7.70)

Poverty-income ratio

    

0.008

  ≤ 1.30

328 (17.27)

1784 (15.06)

70 (27.43)

172 (20.30)

 1.31–3.50

450 (34.23)

2729 (34.54)

60 (31.87)

181 (32.97)

  > 3.50

362 (48.50)

2480 (50.40)

41 (40.69)

170 (46.73)

Smoke

    

0.016

 Non-smoker

668 (55.34)

3711 (49.04)

83 (46.63)

268 (48.63)

 Former smoker

399 (31.27)

2553 (49.04)

55 (26.57)

192 (33.61)

 Current smoker

185 (13.39)

1415 (17.50)

57 (26.80)

117 (17.75)

Alcohol

    

 < 0.001

 Non-drinker

413 (29.82)

2115 (22.95)

64 (26.69)

194 (29.88)

 Current drinker

342 (33.47)

2723 (44.00)

52 (32.55)

141 (34.48)

 Social drinker

448 (36.70)

2519 (33.05)

67 (40.77)

212 (35.64)

Physical activity

    

 < 0.001

 Inactive

424 (29.42)

2132 (23.00)

71 (38.54)

220 (34.65)

 Insufficient

242 (19.45)

1547 (19.56)

36 (14.22)

93 (16.08)

 Moderate

135 (11.41)

957 (12.65)

17 (7.78)

57 (12.94)

 High

452 (39.72)

3045 (44.79)

71 (39.47)

207 (36.33)

Sleep status

    

 < 0.001

  ≥ 7 h

759 (64.04)

5080 (69.25)

113 (67.32)

314 (56.74)

  < 7 h

493 (35.96)

2590 (30.75)

80 (32.68)

260 (43.26)

Cancer

    

0.024

 Yes

132 (12.41)

1120 (16.06)

22 (14.20)

59 (12.61)

 No

1121 (87.59)

6561 (83.94)

173 (85.80)

518 (87.39)

Diabetes

    

 < 0.001

 Yes

415 (27.96)

1094 (10.11)

91 (45.72)

146 (23.36)

 No

838 (72.04)

6587 (89.89)

104 (54.28)

431 (76.64)

SBP, mean, mmHg

128.50 (0.75)

128.31 (0.32)

126.15 (1.79)

131.98 (1.17)

0.024

DBP, mean, mmHg

72.30 (0.50)

71.68 (0.25)

71.19 (1.37)

72.45 (0.81)

0.999

Total cholesterol, mean, mmol/L

4.95 (0.05)

5.25 (0.02)

4.89 (0.09)

5.14 (0.06)

0.059

Current BMI

34.91 (0.20)

27.11 (0.07)

33.50 (0.97)

38.16 (0.30)

 < 0.001

Bone health

    

 < 0.001

 Osteoporosis

64 (3.32)

814 (9.65)

8 (3.89)

30 (4.57)

 Osteopenia

331 (26.16)

3125 (40.17)

61 (26.81)

154 (27.82)

 Normal

858 (70.52)

3742 (50.19)

126 (69.3)

393 (67.61)

  1. BMI trajectories were identified by the latent class trajectory model, whose number of clusters was determined by the Bayesian information criteria, mean posterior probability, and sample sizes. Four BMI trajectories were generated, and labeled as “slight increase”, “stable”, “increase to decrease”, and “rapid increase” based on the shape of the trajectory chart (Fig. 2). Baseline characteristics were presented as the weighted mean and standard error (SE) for continuous variables; and the frequencies and weighted percentages for categorical variables
  2. SBP systolic blood pressure, DBP diastolic blood pressure, BMI body mass index
  3. P-values < 0.05 were indicated in bold