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Table 3 The associations of asthma with height deviation and deficit

From: The influence of childhood asthma on adult height: evidence from the UK Biobank

 

Full cohort (n = 149,610)

Men cohort (n = 86,250)

Women cohort (n = 63,360)

 

Outcome: individual height deviation (%)c

 

No. of individuals

Mean (SD)

β (95% CI)a

No. of individuals

Mean (SD)

β (95% CI)a

No. of individuals

Mean (SD)

β (95% CI)a

p for sex differencee

Unexposed group

136,008

0.06 (34.6)

0 (ref)

78,408

0.07 (31.3)

0 (ref)

57,600

0.11 (22.7)

0 (ref)

 

Exposed group, by age at asthma diagnosis (years)

 ≤ 2

1150

− 5.56 (34.8)

− 2.57 (− 4.14~− 1.00)

599

− 5.29 (32.0)

− 4.50 (− 6.93~− 2.06)

551

− 2.60 (22.9)

− 1.82 (− 3.66~0.02)

0.119

 3–4

1783

− 5.11 (34.4)

− 2.80 (− 4.06~− 1.54)

950

− 4.65 (30.0)

− 4.23 (− 6.16~− 2.29)

833

− 3.36 (22.8)

− 2.76 (− 4.26~− 1.26)

0.119

 5–6

2325

0.25 (34.4)

− 1.14 (− 2.24~− 0.03)

1420

− 1.76 (30.9)

− 1.95 (− 3.54~− 0.36)

905

− 1.47 (23.5)

− 1.22 (− 2.66~0.22)

0.505

 7–9

2650

1.85 (34.2)

− 0.78 (− 1.81~0.26)

1649

− 0.33 (31.5)

− 1.59 (− 3.06~− 0.11)

1001

− 0.34 (23.2)

− 1.03 (− 2.40~0.35)

0.585

 10–12

2621

3.35 (34.5)

− 0.31 (− 1.36~0.73)

1684

0.91 (31.3)

− 0.76 (− 2.33~0.70)

937

− 0.13 (23.5)

− 0.41 (− 1.82~1.01)

0.745

 13–18

3073

− 2.32 (35.5)

− 0.06 (− 1.02~0.90)

1540

2.18 (31.6)

0.80 (− 0.72~2.33)

1533

− 0.18 (23.4)

− 1.28 (− 2.40~− 0.17)

0.031

p for trendf

  

0.022

  

0.027

  

< 0.001

0.404

Outcome: height deficit (yes or no)d

 

No. of individuals with height deficit/no. of total individuals (%)

OR (95% CI)b

No. of individuals with height deficit/no. of total individuals (%)

OR (95% CI)b

No. of individuals with height deficit/no. of total individuals (%)

OR (95% CI)b

p for sex differencee

Unexposed group

67,291/136,008 (49.48)

1(ref)

38,824/78,408 (49.52)

1(ref)

28,493/57,600 (49.47)

1(ref)

 

Exposed group, by age at asthma diagnosis (years)

 ≤ 2

642/1150 (55.83)

1.21 (1.04~1.40)

347/599 (57.93)

1.38 (1.16~1.64)

298/551 (54.08)

1.15 (0.96~1.38)

0.154

 3–4

983/1783 (55.13)

1.15 (1.02~1.29)

536/950 (56.42)

1.30 (1.13~1.49)

464/833 (55.70)

1.22 (1.05~1.41)

0.538

 5–6

1125/2325 (48.39)

1.05 (0.94~1.16)

759/1420 (53.45)

1.18 (1.05~1.32)

472/905 (52.15)

1.07 (0.93~1.23)

0.288

 7–9

1236/2650 (46.64)

1.02 (0.93~1.12)

836/1649 (50.70)

1.12 (1.01~1.24)

506/1001 (50.55)

1.07 (0.94~1.23)

0.597

 10–12

1194/2621 (45.56)

1.03 (0.94~1.13)

834/1684 (49.52)

1.09 (0.99~1.21)

453/937 (48.35)

1.01 (0.88~1.16)

0.382

 13–18

1606/3073 (52.26)

0.98 (0.90~1.07)

731/1540 (47.47)

0.98 (0.88~1.09)

749/1533 (48.86)

1.07 (0.96~1.19)

0.256

p for trendf

 

0.287

 

< 0.001

 

0.054

0.065

  1. SD standard deviation, CI confidence interval, OR odds ratio
  2. aβ were estimates derived from the linear mixed-effect models stratified by matching identifiers (birth year, sex, and recruitment center) and adjusted for birth weight, Townsend deprivation index, education level, and annual household income
  3. bORs (95% CI) were derived from conditional logistic regression models stratified by matching identifiers (birth year, sex, and recruitment center) and adjusted for birth weight, Townsend deprivation index, education level, and annual household income
  4. cIndividual height deviation (%): calculated by (rank of attained adult height-rank of genetically determined height)/149,610 × 100
  5. dHeight deficit: for an individual, rank of attained adult height < rank of genetically determined height (yes or no)
  6. eThe statistical significance of the difference between sexes was assessed by including an interaction term in the linear and logistic regression models
  7. fp values for dose-response trends were calculated by fitting ordinal exposure variables as continuous terms into the linear and logistic models
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BMC Medicine

ISSN: 1741-7015

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