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Journal of Clinical Endocrinology & Metabolism , doi:10.1210/jc.2006-0388
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The Journal of Clinical Endocrinology & Metabolism Vol. 91, No. 7 2514-2519
Copyright © 2006 by The Endocrine Society

Insulin-Like Growth Factor-I and Growth in Height, Leg Length, and Trunk Length between Ages 5 and 10 Years

Imogen Rogers, Chris Metcalfe, David Gunnell, Pauline Emmett, David Dunger, Jeff Holly and the Avon Longitudinal Study of Parents and Children Study Team

Unit of Paediatric and Perinatal Epidemiology (I.R., P.E.), Department of Community-Based Medicine, University of Bristol, Bristol BS8 1TQ, United Kingdom; Department of Social Medicine (C.M., D.G.), University of Bristol, Bristol BS8 2PR, United Kingdom; Department of Paediatrics (D.D.), University of Cambridge, Addenbrookes Hospital, Cambridge CB2 2QQ, United Kingdom; and Division of Surgery (J.H.), University of Bristol, Bristol, BS8 2HW, United Kingdom

Address all correspondence and requests for reprints to: Imogen Rogers, Unit of Paediatric and Perinatal Epidemiology, Department of Community-Based Medicine, University of Bristol, 24 Tyndall Avenue, Bristol BS8 1TQ, United Kingdom. E-mail: imogen.rogers{at}bristol.ac.uk.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Objective: IGF-I, a major regulator of childhood growth, is also associated with the risk of several cancers in adult life. Adult height and particularly leg length are also associated with cancer risk. Prepubertal growth is more in leg than trunk length, and it has been suggested that leg length might be a biomarker of childhood IGF-I. However, there is little information on the association between childhood IGF-I and subsequent leg and trunk growth. In this study, we investigated the association of IGF-I measured at 5 and 7–8 yr with growth in height and the components of height (leg and trunk length) from 5 yr to 9–10 yr.

Participants: A total of 675 children participated in the Avon Longitudinal Study of Parents and Children.

Results: IGF-I was strongly positively associated with growth in height in both sexes. Among boys, IGF-I was strongly associated with subsequent growth in both leg and trunk length, but there was no evidence that IGF-I was more strongly associated with one component of growth than the other. Among girls, IGF-I was strongly positively associated with growth in trunk but not leg length, although there was only weak evidence that these two associations differed in strength (P = 0.058).

Conclusions: These results support the contention that the associations between height and cancer may be mediated by variation in childhood IGF-I. However, they provide no evidence to support the hypothesis that leg length is a better biomarker of childhood IGF-I levels than trunk length.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
IGFS ARE POWERFUL mitogenic agents that also stimulate cell differentiation and inhibit apoptosis. IGF-I is considered to be a major regulator of childhood growth (1, 2) and mediates most of the anabolic actions of GH. In normal children, however, the only evidence to support this contention has been from cross-sectional studies. These have found IGF-I to be positively associated with current height, and sometimes also with body mass index (BMI), and negatively associated with birth weight on controlling for current size (3, 4, 5), indicating that the rate of postnatal growth may be determined by IGF-I (6). The main binding protein of IGF-I is IGF binding protein (IGFBP)-3, and it has been suggested that the IGF-I to IGFBP-3 ratio may be a crude indicator of IGF-I bioavailability. Higher circulating levels of IGF-I within the normal adult range are associated with increased risk of specific cancers, including prostate (7, 8), breast (9), and colon cancer (10). Because the risk of these cancers is also consistently positively associated with height, it has been suggested that IGFs may be the biological mediator between growth-influencing exposures in childhood and cancer risk in adulthood (11).

In the prepubertal period, a greater proportion of growth in total height results from growth in leg rather than trunk length (12); it has therefore been suggested that adult leg length may be a marker of childhood IGF-I levels. In keeping with this suggestion and the possible link between height-cancer and IGF-cancer associations, there is some evidence that leg length is the component of height most strongly associated with cancer risk (13). No previous studies have investigated the association of childhood IGF-I with leg and trunk length and the subsequent rates of growth of these two components of height. In adults, height, leg length, and trunk length are not strongly associated with circulating IGF-I, although there is weak evidence that the ratio of adult leg to trunk length is associated with higher levels of bioavailable IGF-I (14). The lack of consistent association between IGF-I and adult height is unsurprising because final adult height is determined by not only the rate of childhood growth, which may be dependent on IGF-I, but also its duration, which depends on rate of maturation. Children who develop early may manifest higher growth rates in childhood but attain a lower final height if they go through puberty earlier than their peers and therefore have a curtailed growth period with early fusion of the epiphyses. Hence, if it is childhood exposure to IGF-I that is most strongly related to cancer risk in adulthood, adult height will be an imperfect measure of IGF-I exposure during the sensitive period.

The aim of the current study was to relate measures of IGF-I levels in healthy prepubertal children to subsequent growth in height, leg length, and trunk length. In addition, we investigated how associations of IGF-I with growth in height were influenced by IGFBP-3.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
This study was based on the Avon Longitudinal Study of Parents and Children (ALSPAC), a prospective study of 14,541 pregnancies recruited from all pregnancies in the Bristol (United Kingdom) area with expected dates of delivery between April 1991 and December 1992 (15). Ethical approval of the study was obtained from local ethics committees. The children in the present study were part of a randomly selected 10% subcohort of ALSPAC known as Children in Focus (CIF) (http://www.alspac.bris.ac.uk) (n = 1260). Compared with the entire ALSPAC cohort, the CIF group had fewer mothers in the lowest educational group [Certificate of Secondary Education (CSE) or no qualifications: 14% in CIF vs. 22% in ALSPAC], fewer mothers younger than 25 yr (13 vs. 21%), and an excess of mothers in owner-occupied accommodations (80 vs. 75%).

The children attended research clinics at the ages of 5, 7–8, and 9–10 yr. At each age, anthropometric measurements were taken, and at 5 and 7–8 yr, blood samples were taken for measurement of IGF-I.

IGF-I and IGFBP-3 measurements

Two different IGF-I assays were used. As part of a previous study (16) at age 5 yr, serum IGF-I levels were measured after acid ethanol extraction by a competitive solid-phase immunoassay. This was modified from the method of Kratzsch et al. (17) by the use of biotin for labeling of IGF-I and streptavidin-Europium (Wallac, Inc., Turku, Finland) for the detection of labeled molecules by time-resolved fluorescence. The limit of sensitivity was less than 15 ng/ml, and intra- and interassay coefficients of variation were less than 10% in the range 100–500 ng/ml.

At age 7–8 yr, serum concentrations of IGF-I were determined by RIA using a monoclonal antibody (Blood Products; Elstree, Hertfordshire, UK) and recombinant peptide (Pharmacia, Stockholm, Sweden) for standard and tracer, after iodination using the chloramine-T method. Samples were analyzed after acid-acetone extraction to remove the IGFBPs with an excess of IGF-II added to the extract to saturate any residual binding proteins (18). Serum levels of IGFBP-3 were determined by RIA using an in-house polyclonal antibody raised against recombinant non-glycosylated IGFBP-3. The assay was calibrated against recombinant glycosylated IGFBP-3 (Dr. C. Maack, Celtrix, Santa Clara, CA). The average coefficients of variation for intraassay variability for IGF-I and IGFBP-3 were 6.7 and 3.6% and interassay coefficients of variation were 12 and 14%, respectively.

Assessment of anthropometry at 5, 7–8, and 9–10 yr

Height and sitting height were measured to the last completed millimeter using a Harpenden stadiometer, a sitting height table, and an anthropometer (19). Leg length was obtained by subtracting sitting height (less the height of the stool) from total height. Weight was measured using a Seca 835 scale at 5 yr and a Tanita weighing scale (Tanita U.K. Ltd., Uxbridge, UK) at 7–8 and 9–10 yr. BMI was calculated from weight (kilograms)/height (meters)2.

Growth was calculated as change per week in height, leg length, and sitting height between the 5- and 7- to 8-yr clinics and between the 7- to 8-yr and 9- to 10-yr clinics.

Confounders

A questionnaire sent to the mother at 32 wk gestation provided information on the following: highest maternal educational level (grouped as CSE or no qualifications, vocational qualification, O level or equivalent, A level or equivalent, degree), housing tenure (grouped as council rented, i.e. government housing, other rented, owned, or mortgaged). CSE and O levels were, respectively, lower and higher levels of qualifications taken at around 16 yr of age. A levels were the standard qualifications taken at around 18 yr of age. In addition, birth weight, sex of the child, and gestation were obtained from hospital records. Gestational age was assessed on the basis of date of last menstrual period, ultrasound assessment, and other clinical indicators. Birth weight was adjusted for gestational age using the residuals method and converted to sex-specific z scores. BMI at 5 and 7 yr was converted to sex-specific z scores.

Paternal social class, maternal smoking in pregnancy, and the child’s self-reported Tanner stage of puberty were also initially considered as confounders but had a minimal effect on the observed associations between growth and IGF once the above confounders had been controlled and so were not included in further analyses.

Statistical analyses

Children providing at least one IGF-I measurement with anthropometry for the subsequent growth period and complete information on confounding variables were included in the analysis. Children from multiple births and nonwhite ethnic groups were excluded from analyses because there is evidence that they have distinctive growth patterns, and there were not enough children from these groups to analyze separately. One hundred fifty-five children provided IGF measures at the first time point only, 257 at the second time point only, and 390 at both time points. All analyses were performed for boys and girls separately because both IGF-I levels and growth patterns differ significantly between the sexes. Compared with children with no IGF data (n = 458), children with at least one IGF measure (n = 802) were less likely to have a mother whose highest educational qualification was CSE or less (11.4 vs. 16.5%). Among girls, mean leg length at 5 yr was higher (P = 0.020) for those with IGF measurements (48.7 cm, SD 2.4 cm, n = 321), compared with those without (48.0 cm, SD 2.4 cm, n = 88). There was no difference in leg length according to presence of IGF data at either 5 or 7 yr in boys or in height at either age in either sex. To allow comparison between the study sample and the general U.K. population, z scores for height and BMI were calculated using the British 1990 growth reference centiles (see Table 1Go and Ref. 20).


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TABLE 1. Mean (SD) age, IGF-I levels, and anthropometry at 5, 7–8, and 9–10 yr among children included in growth analyses for the intervening periods

 
Stata 8 (StataCorp 2003, College Station, TX) was used for all analyses. Associations between IGF-I and measures of subsequent growth were estimated using linear regression. Because both IGF-I and IGFBP-3 were positively skewed, they were loge transformed to normalize their distributions. Each child contributes up to two data records to an analysis, corresponding to the first and second periods over which growth was measured (i.e. between ages 5 and 7–8 yr and ages 7–8 yr up to age 9–10 yr). When data from both IGF assays were included in the same regression model, a dummy covariate distinguished between them and adjusted the analysis for any simple difference in calibration. Adding an interaction term to the regression models did not suggest that the associations between IGF-I and growth differed between the two periods (P > 0.1 in all cases), so for each analysis a single association was estimated and assumed to apply to both periods. Confidence intervals and significance tests were based on robust SE values (21) to allow for nonindependence of measurements when a child provided data in both periods. Multiple outcome regression was used to directly compare the strengths of association between IGF-I and different components of growth. This method, implemented using Stata’s mvreg command, provides a SE for the difference in associations among the exposure variable, IGF-I, and the two components of growth, which then forms the basis of a test of the null hypothesis that the associations are equal in direction and magnitude.

IGFBP-3 measurements were available at 7–8 yr only. Analyses examined the role played by IGFBP-3 in growth in the second period only (7–8 to 9–10 yr), separating the independent effects of IGF-I and IGFBP-3.


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Response rate

Of 1260 white singleton children invited to attend CIF, 545 and 647 provided IGF measurements at 5 and 7–8 yr, respectively (one boy with a reduction of IGF-I of > 4 ng/ml/wk between 5 and 7–8 yr was excluded from analyses). Overall, 675 children provided at least one measurement of IGF and had complete data on confounding variables. Characteristics of these children are given in Table 1Go. As expected, in both time periods (5 to 7–8 yr and 7–8 to 9–10 yr), the rate of growth in leg length exceeded that for trunk length in both sexes. IGF-I values did not increase between the ages of 5 and 7–8 yr as would have been expected from other surveys (2). This probably reflects the use of different assay methods at the two time points. However, IGF-I values tracked between the two time points [r = 0.48, P < 0.001 in boys (n = 205) and 0.38, P < 0.001 (n = 163) in girls].

Cross-sectional associations of IGF-I and anthropometry

Table 2Go shows the cross-sectional associations of IGF-I at each age with height, leg length, trunk length, and BMI. At 5 yr IGF-I was positively associated with total height and leg and trunk length in both sexes. There was no evidence that the relationship of IGF-I with leg length was stronger than that with trunk length in either boys (P = 0.3) or girls (P = 0.8).


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TABLE 2. Cross-sectional associations of IGF-I at 5 and 7–8 yr with height, trunk and leg length, BMI, and birth weight

 
At 7–8 yr, IGF-I was positively associated with total height and trunk length in both sexes, positively associated with leg length in boys, and weakly positively associated with leg length in girls. Among boys only, there was evidence that the relationship of IGF-I with leg length was stronger than that with trunk length (boys P = 0.041, girls P = 0.18). There was also evidence that the association of IGF-I with leg length at 7–8 yr was stronger in boys than girls (P = 0.041). BMI was positively associated with IGF-I in boys at both ages and among girls at 5 yr only. There was weak evidence that the IGF-I-BMI relationship was stronger in boys than girls at 7–8 yr (P = 0.059). IGF-I was also negatively associated with birth weight in both sexes at both ages once variation in other measures of growth had been taken into account, and among boys there was weak evidence that the IGF-I-birth weight relationship became stronger between 5 and 7–8 yr (P = 0.055).

IGF-I levels and subsequent growth in height and leg and trunk length

Table 3Go shows associations between IGF-I and subsequent growth. There were strong positive associations between IGF-I and subsequent rate of growth in height in both sexes, which were only slightly attenuated on controlling for confounders. There was no evidence that the strength of the association between IGF-I and growth in height differed between the sexes (P for interaction = 0.69).


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TABLE 3. Association of IGF-I at 5 and 7 yr with subsequent growth in height

 
IGF-I was strongly associated with subsequent growth in both leg and trunk length in boys, and these associations were only slightly attenuated on controlling for potential confounders. There was no evidence of IGF-I being associated more strongly with one component of growth than the other (P = 0.34 for adjusted analysis).

Among girls there was a strong positive association between IGF-I and growth in trunk length, which was only slightly attenuated on adjustment for confounders. There was no apparent association between IGF-I and growth in leg length. However, there was only weak evidence that IGF-I was more strongly associated with growth in trunk than leg length in girls (P = 0.058 for adjusted associations).

There was no evidence that the strength of the association between trunk length and IGF-I differed between boys and girls (P interaction = 0.17); however, there was weak evidence that the association between IGF-I and growth in leg length was stronger in boys than girls (P interaction = 0.057).

The role of IGFBP-3 in growth in the second period

IGFBP-3 was measured only in the blood samples taken at age 7–8 yr. The correlation between IGF-I and IGFBP-3 at 7–8 yr was 0.47 in boys (P < 0.001, n = 298) and 0.47 in girls (P < 0.001, n = 257).

Table 4Go shows associations of IGF-I at 7–8 yr with growth in height in the second period only along with the effect of adjusting for IGFBP-3 and the association of IGFBP-3 with growth on adjusting for IGF-I. Among boys, the positive association of IGF-I with subsequent growth in height was attenuated on controlling for IGFBP-3, and there was evidence of an independent positive association of IGFBP-3 with height growth. Among girls also the association of IGF-I with height growth was considerably attenuated on controlling for IGFBP-3, and IGFBP-3 had a significant independent association with height growth. There was no evidence that the association between IGFBP-3 and height growth differed between the sexes (P interaction = 0.21).


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TABLE 4. Association of IGF-I and IGFBP-3 at 7–8 yr with subsequent growth in height

 

    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
We found strong positive associations of IGF-I, measured before puberty, with contemporaneous measures of height and with growth in height over the subsequent 2 yr. We also found that linear growth between 5 and 9–10 yr was greater in the leg than trunk component of stature, as expected. It has been hypothesized that leg length in adulthood might be a biomarker of childhood IGF-I levels because growth before puberty is predominantly in leg rather than trunk length. However, we did not find evidence that IGF-I levels were more strongly associated with growth in leg length than growth in trunk length. In fact, in girls there was weak evidence of the converse case. Final adult leg length, as with final height, is, however, determined by not only the rate of childhood growth but also its duration, which is strongly dependent on the timing of puberty. If the growth rate of both trunk and leg length in childhood is related to IGF-I exposure, then any divergence in the final attained component lengths may be due to differential determinants of maturation of the long bones in the legs and the vertebrae in the trunk, i.e. differences in exposure to sex steroids in early vs. late puberty.

We know of only one other study of the relationship between childhood IGF-I and subsequent growth in height, which showed a positive association between IGF-I and growth in the subsequent year in 121 prepubertal children (22). We believe ours is the first study to relate IGF-I to subsequent growth in the leg and trunk components of height. We reported previously a cross-sectional study of the associations of IGF-I with height and the components of height in middle-aged men. We found that neither IGF-I nor IGFBP-3 was associated with total height, leg length, or trunk length, although the IGF-I to IGFBP-3 ratio was weakly positively associated with the leg to trunk ratio (14). Furthermore, in a recent analysis of the Boyd Orr cohort, there was no evidence that childhood or adult height or their components were associated with IGF-I or the molar ratio (IGF-I to IGFBP-3) measured in old age, although childhood trunk length was weakly positively associated with adult IGFBP-3 (23).

There is also considerable clinical evidence that circulating IGF-I is a strong determinant of childhood growth. Children with pathological disturbances of GH secretion have disturbed growth rates concomitant with altered circulating IGF-I levels (24), although because there is evidence that GH directly stimulates local IGF-I expression in the growth plates (25), this does not prove the role of circulating IGF-I. A child with a deletion of the IGF-I gene was reported to be severely growth retarded, but this could also have been due to local effects in the growth plate (26). The strongest evidence has possibly been from the systemic application of IGF-I, which results in an increase in circulating IGF-I concentration and linear growth rate (27), although again this has largely been in children with pathological growth disturbances. Our data indicate that variations in circulating IGF-I concentration within normal children are strongly associated with their linear growth over the subsequent 2 yr.

There are more data on the cross-sectional associations of IGF-I with total height, weight, and BMI. Positive associations between IGF-I and height have been consistently demonstrated in studies of prepubertal children in both industrialized (2, 3, 4, 5, 28) and developing (4) countries, although in two of these, the positive association with height was abolished after controlling for weight (3, 4). The results of studies in adults are more mixed. Most have been conducted on middle-aged subjects, and no association between IGF-I and height was observed in any of the studies that included women (23, 29, 30, 31) or in two of the studies of men (14, 30). However, positive associations between IGF-I and height were observed in studies of young (32), middle-aged (31), and elderly males (33).

Although the association of IGF-I with subsequent growth is examined in only one study (22), several studies have related IGF-I levels to previous growth. Among 9-yr-old children in Salisbury, greater catch-up in birth length/height SD score between birth and 9 yr was positively associated with IGF-I, as was greater height velocity between 7 and 9 yr (34). Similarly, in a study of 4-yr-old Indian children, the highest IGF-I concentrations were found in those who were small at birth and large at 4 yr (4), and a similar association with centile crossing from birth to 7–8 yr was found in Australian children (3). However, in a study of young adults in Wales, although catch-down growth from birth to 1 yr was associated with the lowest IGF-I levels, there was no evidence that catch-up growth in the first 5 yr of life was associated with elevated IGF-I in adulthood (32). In this study IGF-I levels at both ages were inversely associated with birth weight in contrast to the positive associations with contemporaneous anthropometric measures.

IGF-I to IGFBP-3 has been considered a crude indicator of IGF-I bioavailability (35). As such we expected increasing IGFBP-3 levels would attenuate any growth-promoting effect of IGF-I. However, the opposite appeared to be the case; indeed, we even found some evidence for an independent growth-promoting effect of IGFBP-3. There are relatively few other data on the associations between IGFBP-3 and growth or anthropometry in normal subjects, but positive associations among IGFBP-3, height, and BMI have been observed in both adults (31, 32) and children (2), sometimes in the absence of similar associations between IGF-I and anthropometry (2, 32), although not all studies found significant associations between IGFBP-3 and anthropometry (14).

Conclusions

We have found strong positive associations between IGF-I levels and subsequent growth in height in prepubertal children, consistent both with observed associations between previous growth and current IGF-I and with the hypothesis that adult height may be a biomarker of childhood IGF-I. As expected, growth in leg length was greater than in trunk length, highlighting its use as an indicator of prepubertal influences on growth. However, there was no evidence that IGF-I was more strongly associated with growth in leg than trunk length, casting doubt on the hypothesis that associations between adult cancer risk and leg length are mediated by variations in childhood IGF-I. There was some evidence of sex differences in the association of IGF-I with the components of height, associations of IGF-I with leg growth being stronger in boys than girls. Contrary to expectations, we found evidence that IGFBP-3 levels are independently positively associated with linear growth, and these unexpected results need to be replicated.


    Acknowledgments
 
We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists, and nurses. This publication is the work of the authors who also serve as guarantors for the contents of this paper.


    Footnotes
 
The U.K. Medical Research Council, the Wellcome Trust, and the University of Bristol provide core support for ALSPAC. This part of the study was funded by the World Cancer Research Fund.

Disclosure Summary: I.R., C.M., D.G., and P.E. have nothing to declare. D.D. is on a scientific advisory board for Ipsen and has received lecture fees from Pfizer and Novo Nordisk. J.H. has received consultancy fees from Roche, Aventis, and Diaganostics Systems Laboratories.

First Published Online May 2, 2006

Abbreviations: ALSPAC, Avon Longitudinal Study of Parents and Children; BMI, body mass index; CIF, Children in Focus; CSE, Certificate of Secondary Education; IGFBP, IGF binding protein.

Received February 21, 2006.

Accepted April 25, 2006.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Butler A, Le Roith D 2001 Control of growth by the somatropic axis: growth hormone and the insulin-like growth factors have related and independent roles. Annu Rev Physiol 63:141–164[CrossRef][Medline]
  2. Juul A, Dalgaard P, Blum W 1995 Serum levels of insulin-like growth factor (IGF)-binding protein-3 (IGFBP-3) in healthy infants, children and adolescents: the relation to IGF-I, IGF-II, IGFBP-1, IGFBP-2, age, sex, body mass index and pubertal maturation. J Clin Endocrinol Metab 80:2534–2542[Abstract]
  3. Garnett S, Cowell C, Bradford D, Lee J, Tao C, Petrauskas V, Fay R, Baur LA 1999 Effects of gender, body composition and birth size on IGF-I in 7- and 8-year-old children. Horm Res 52:221–229[CrossRef][Medline]
  4. Fall CHD, Pandit AN, Law CM, Yajnik CS, Clark PM, Brier B, Osmond C, Shiell AW, Gluckman PD, Barker DJ 1995 Size at birth and plasma insulin-like growth factor-1 concentrations. Arch Dis Child 73:287–293[Abstract/Free Full Text]
  5. Hoppe C, Udam T, Lauritzen L, Mølgaard C, Juul A, Michaelsen K 2004 Animal protein intake, serum insulin-like growth factor I, and growth in healthy 2.5-y-old Danish children. Am J Clin Nutr 80:447–452[Abstract/Free Full Text]
  6. Lucas A, Fewtrell MS, Cole TJ 1999 Fetal origins of adult disease—the hypothesis revisited. Br Med J 319:245–249[Free Full Text]
  7. Chan J, Stampfer M, Giovannucci E, Gann PH, Ma J, Wilkinson P, Hennekens CH, Pollak M 1998 Plasma insulin-like growth factor-I and prostate cancer risk: a prospective study. Science 279:563–566[Abstract/Free Full Text]
  8. Oliver SE, Gunnell D, Donovan JL, Peters TJ, Persad R, Gillatt D, Pearce A, Neal DE, Hamdy FC, Holly JMP 2004 Screen-detected prostate cancer and the insulin-like growth factor axis: results of a population-based case-control study. Int J Cancer 108:887–892[CrossRef][Medline]
  9. Hankinson S, Willett W, Colditz G, Hunter DJ, Michaud DS, Deroo B, Rosner B, Speizer FE, Pollak M 1998 Circulating concentrations of insulin-like growth factor I and risk of breast cancer. Lancet 351:1393–1396[CrossRef][Medline]
  10. Ma J, Giovannucci E, Pollak M, Chan JM, Gaziano M, Willett W, Stampfer MJ 2001 Milk intake, circulating levels of insulin-like growth factor-I, and risk of colorectal cancer in men. J Natl Cancer Inst 93:1330–1336[Abstract/Free Full Text]
  11. Gunnell D, Davey Smith G, Holly J, Frankel S 1998 Leg length and risk of cancer in the Boyd Orr cohort. Br Med J 317:1350–1351[Free Full Text]
  12. Leitch J 1951 Growth and health. Br J Nutr 5:142–151[CrossRef][Medline]
  13. Gunnell D, Okasha M, Davey Smith G, Oliver SE, Sandhu J, Holly JMP 2001 Height, leg length and cancer risk: a systematic review. Epidemiol Rev 23:313–342[Free Full Text]
  14. Gunnell D, Oliver S, Donovan J, Peters TJ, Gillat D, Persad R, Hamdy FC, Neal DE, Holly JMP 2004 Do height-related variations in insulin-like growth factors underlie the associations of stature with adult chronic disease. J Clin Endocrinol Metab 89:213–218[Abstract/Free Full Text]
  15. Golding J, Pembrey M, Jones R, ALSPAC Study Team 2001 ALSPAC—the Avon Longitudinal Study of Parents and Children. I. Study methodology. Paediatr Perinat Epidemiol 15:74–87[CrossRef][Medline]
  16. Ong K, Kratzsch J, Kiess W, Dunger D, ALSPAC Study Team 2002 Circulating IGF-I levels in childhood are related to both current body composition and early postnatal growth rate. J Clin Endocrinol Metab 87:1041–1044[Abstract/Free Full Text]
  17. Kratzsch J, Blum W, Schenker E, Keller E, Jahreis G, Haustein B, Ventz M, Rotzch W 1993 Measurement of insulin-like growth factor I (IGF-I) in normal adults, patients with liver cirrhosis and acromegaly: experience with a new competitive enzyme immunoassay. Exp Clin Endocrinol 101:144–149[Medline]
  18. Lemmey A, Maddison P, Breslin A, Cassar P, Hasso N, McCann R, Whellams E, Holly J 2001 Association between insulin-like growth factor status and physical activity levels in rheumatoid arthritis. J Rheumatol 28:29–34[Abstract/Free Full Text]
  19. Cameron N 1986 The methods of auxological anthropometry. In: Falkner F, Tanner JM, eds. Human growth: a comprehensive treatise. New York and London: Plenum Press; 3–46
  20. Cole TJ, Freeman JV, Preece MA 1998 British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood. Stat Med 17:407–429[CrossRef][Medline]
  21. Kirkwood BR, Sterne J 2003 Essential medical statistics. 2nd ed. Oxford, UK: Blackwell; 353–354
  22. Juul A, Bang P, Hertel N, Main K, Dalgaard P, Jorgensen K, Muller J, Hall K, Skakkebæk ME 1994 Serum insulin-like growth factor-I in 1030 healthy children, adolescents, and adults: relation to age, sex, stage of puberty, testicular size, and body mass index. J Clin Endocrinol Metab 78:744–752[Abstract]
  23. Bray I, Gunnell D, Holly JMP, Middleton N, Davey Smith G, Martin RM 2006 Associations of childhood and adulthood height and the components of height with insulin-like growth factor (IGF) levels in adulthood: 65-year follow-up of the Boyd Orr cohort. J Clin Endocrinol Metab 91:1382–1389[Abstract/Free Full Text]
  24. Juul A 2001 Determination of insulin-like growth factor I in children: Normal values and clinical use. Horm Res 55(Suppl 2):94–99
  25. Nilsson A, Carlsson B, Isgaard J, Isaksson O, Rymo L 1990 Regulation by GH of insulin-like growth factor-I mRNA expression in rat epiphyseal growth plate as studied with in situ hybridization. J Endocrinol 125:67–74[Abstract/Free Full Text]
  26. Woods KA, Camacho-Hübner C, Savage M, Clark A 1996 Intrauterine growth retardation and postnatal growth failure associated with deletion of the insulin-like growth factor I gene. N Engl J Med 335:1363–1367[Free Full Text]
  27. Laron Z 1999 The essential role of IGF-I: lessons from the long-term study and treatment of children and adults with Laron syndrome. J Clin Endocrinol Metab 84:4397–4404[Abstract/Free Full Text]
  28. Blum W, Albertsson-Wilkland K, Rosenberg S, Ranke M 1993 Serum levels in insulin-like growth factors (IGF-I) and IGF binding protein 3 reflect spontaneous growth hormone secretion. J Clin Endocrinol Metab 76:1610–1616[Abstract]
  29. Holmes M, Pollak M, Hankinson SE 2002 Lifestyle correlates of plasma insulin-like growth factor I and insulin-like growth factor binding protein 3 concentrations. Cancer Epidemiol Biomarkers Prev 11:862–867[Abstract/Free Full Text]
  30. Kajantie E, Fall C, Seppälä M, Kastinen R, Dunkel K, Ylihärsilä H, Osmond C, Andersson S, Barker DJP, Forsen T, Holt RIG, Phillips DIW, Eriksson J 2003 Serum insulin-like growth factor (IGF)-I and IGF-binding protein-1 in elderly people: relationships with cardiovascular risk factors, body composition, size at birth, and childhood growth. J Clin Endocrinol Metab 88:1059–1065[Abstract/Free Full Text]
  31. DeLellis K, Rinaldi S, Kaaks R, Kolonel L, Henderson B, Le Marchand L 2004 Dietary and lifestyle correlates of plasma insulin-like growth factor-I (IGF-I) and IGF binding protein 3 (IGFBP-3): the multiethnic cohort. Cancer Epidemiol Biomarkers Prev 13:1444–1451[Abstract/Free Full Text]
  32. Ben-Shlomo Y, Holly J, McCarthy A, Savage P, Davies D, Gunnell D, Davey Smith G 2003 An investigation of fetal, postnatal and childhood growth with insulin-like growth factor I and binding protein 3 in adulthood. Clin Endocrinol (Oxf) 59:366–373[CrossRef][Medline]
  33. Signorello L, Kuper H, Lagiou P, Mucci L, Trichopoulos D, Adami HO 2000 Lifestyle factors and insulin-like growth factor I levels among elderly men. Eur J Cancer Prev 9:173–178[CrossRef][Medline]
  34. Fall CHD, Clark PM, Hindmarsh PC, Clayton PE, Shiell AW, Law CM 2000 Urinary GH and IGF-I excretion in nine year-old children: relation to sex, current size and size at birth. Clin Endocrinol (Oxf) 53:69–76[CrossRef][Medline]
  35. Crowne E, Samra J, Cheetham T, Acerini CL, Watts A, Holly JM, Dunger DB 2001 The role of IGF binding proteins in mediating the effects of recombinant human IGF-I on insulin requirements in type 1 diabetes mellitus. J Clin Endocrinol Metab 86:3686–3691[Abstract/Free Full Text]



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