| Literature DB >> 32162719 |
Fiona R Saunders1, Jennifer S Gregory1, Anastasia V Pavlova1,2, Stella G Muthuri3, Rebecca J Hardy3,4, Kathryn R Martin1, Rebecca J Barr1,5, Judith E Adams6, Diana Kuh3, Richard M Aspden1, Rachel Cooper7, Alex Ireland8.
Abstract
Spine shape changes dramatically in early life, influenced by attainment of developmental milestones such as independent walking. Whether these associations persist across life is unknown. Therefore, we investigated associations between developmental milestones and spine shape, as determined using statistical shape models (SSMs) of lumbar spine from dual-energy X-ray absorptiometry scans in 1327 individuals (688 female) at 60 to 64 years in the MRC National Survey of Health and Development. Lumbar lordosis angle (L4 inferior endplate to T12 superior endplate) was measured using the two-line Cobb method. In analyses adjusted for sex, height, lean and fat mass, socioeconomic position, and birthweight, later walking age was associated with greater lordosis described by SSM1 (regression coefficient, 0.023; 95% CI, 0.000-0.047; P = .05) and direct angle measurement. Modest associations between walking age and less variation in anterior-posterior vertebral size caudally (SSM6) were also observed (0.021; 95% CI, -0.002 to 0.044; P = .07). Sex interactions showed that later walking was associated with larger relative vertebral anterior-posterior dimensions in men (SSM3; -0.043; 95% CI, -0.075 to 0.01; P = .01) but not women (0.018; 95% CI, -0.0007 to 0.043; P = .17). Similar associations were observed between age at independent standing and SSMs but there was little evidence of association between sitting age and spine shape. Unadjusted associations between walking age and SSMs 1 and 6 remained similar after adjustment for potential confounders and mediators. This suggests that these associations may be explained by altered mechanical loading of the spine during childhood growth, although other factors could contribute. Early life motor development, particularly walking, may have a lasting effect on the features of spine morphology with clinical significance.Entities:
Keywords: growth; loading; mechano-adaptation
Mesh:
Year: 2020 PMID: 32162719 PMCID: PMC8641380 DOI: 10.1002/jor.24656
Source DB: PubMed Journal: J Orthop Res ISSN: 0736-0266 Impact factor: 3.102
Characteristics of the MRC National Survey of Health and Development stratified by sex (sample restricted to those with complete spine shape mode data and covariates)
| Women (n = 688) | Men (n = 639) | ||||
|---|---|---|---|---|---|
| Variable | Mean | SD | Mean | SD | Sex difference, |
| Walking age, mo | 13.7 | 2.4 | 13.7 | 2.3 | .6 |
| Birthweight, kg | 3.39 | 0.63 | 3.45 | 0.57 | .05 |
Associations between age at onset of independent walking and spine shape mode outcomes in the MRC National Survey of Health and Development
| Mode | Group | Model | Regression coefficient | 95% CI |
| Sex interaction, | |
|---|---|---|---|---|---|---|---|
| SM1 | Combined | 1 | 0.019 | −0.004 | 0.041 | .1 | .28 |
| 2 | 0.023 | 0.000 | 0.047 | .05 | .36 | ||
| SM2 | Combined | 1 | −0.002 | −0.025 | 0.021 | .88 | .76 |
| 2 | −0.014 | −0.037 | 0.010 | .25 | .79 | ||
| SM3 | Men | 1 | −0.024 | −0.056 | 0.008 | .15 | .03 |
| Women | 0.021 | −0.004 | 0.046 | .09 | |||
| Men | 2 | −0.043 | −0.075 | −0.010 | .01 | <.01 | |
| Women | 0.018 | −0.007 | 0.043 | .17 | |||
| SM4 | Combined | 1 | −0.013 | −0.037 | 0.010 | .25 | .14 |
| 2 | −0.006 | −0.030 | 0.017 | .6 | .14 | ||
| SM5 | Combined | 1 | −0.011 | −0.034 | 0.012 | .35 | .34 |
| 2 | −0.017 | −0.040 | 0.007 | .17 | .45 | ||
| SM6 | Combined | 1 | 0.021 | −0.002 | 0.043 | .07 | .94 |
| 2 | 0.021 | −0.002 | 0.044 | .07 | .91 | ||
| SM7 | Combined | 1 | 0.007 | −0.016 | 0.030 | .54 | .56 |
| 2 | 0.006 | −0.018 | 0.030 | .63 | .39 | ||
| SM8 | Combined | 1 | 0.002 | −0.020 | 0.024 | .84 | .19 |
| 2 | 0.010 | −0.012 | 0.033 | .36 | .24 | ||
Note: Regression coefficients are the difference in mean SM score per 1 month increase in walking age. Where sex interactions were evident (P for interaction <.1), sex‐specific associations are presented. Model 1 adjusted for sex (if men and women are combined) and clinic, model 2: model 1 + birthweight + father's occupational class + adult occupational class + height + appendicular fat mass + appendicular lean mass. Only results from basic and fully adjusted models are presented for brevity. When each set of covariates were adjusted for, in turn, there was no evidence that any one specific set of factors was responsible for the attenuations observed between the models shown here.
Figure 1Mean spine shapes described by statistical shape models in early (−2 SD of the mean age) and late‐walking (+2 SD of the mean age) men and women. The mean age of walking in this cohort was 13.7 ± 2.3 months with no sex difference. Therefore, early and late walking as described above corresponded to walking at 9.0 months and walking at 18.5 months, respectively [Color figure can be viewed at wileyonlinelibrary.com]