Fracture rates were compared in children of different ethnic backgrounds from Johannesburg, South Africa. More white children fracture than black and mixed ancestry children. Reasons for this may be due to greater sports participation by whites and genetic protective factors in blacks. This has to be further investigated.
Introduction
Fracture rates in childhood are as high as those in the elderly. Recent research has been undertaken to understand the reasons for this, but there is little information available on ethnic differences in childhood fracture rates.
Methods
Using the birth to twenty longitudinal cohort of children, we retrospectively obtained information on fractures and their sites from birth to 14.9 years of age on 2031 participants. The ethnic breakdown of the children was black (B) 78%, white (W) 9%, mixed ancestry (MA) 10.5% and Indian (I) 1.5%.
Results
Four hundred and forty-one (22%) children had sustained a fracture one or more times during their lifetime (males 27.5% and females 16.3%; p < 0.001). The percentage of children fracturing differed between the ethnic groups (W 41.5%, B 19%, MA 21%, I 30%; p < 0.001). Of the 441 children reporting fractures, 89(20%) sustained multiple fractures. The most common site of fracture was the upper limb (57%).
Conclusion
More white children fracture than black and mixed ancestry children. This is the first study to show ethnic differences in fracture rates among children. The reasons for these differences have to be further elucidated. Greater sports participation by whites and genetic protective factors in blacks may be contributing factors.
Introduction
Fracture rates in childhood are as high as those in the elderly [1], and the incidence of childhood fractures is probably rising in the developed world [2, 3]. The type and incidence of fractures in childhood vary with gender, age and site; however there is little information on ethnic differences in childhood fracture rates. The incidence of fractures is lower in African-American post-menopausal women than in white women in the United States [4, 5]. A similar ethnic difference in hip fracture prevalence is seen between white and South African black women [6]. Information on the pattern and incidence of childhood fracture rates amongst the various South African ethnic groups has not been investigated previously. Thus, the aim of this study was to determine the rates of fractures and site distribution of and activity-related risk factors for fractures in children of different ethnic origins. We hypothesized that 1) South African black children would fracture less than white children, similar to the pattern in the post-menopausal South African population; and 2) all ethnic groups would have a similar age and sex-related distribution of fractures.
Materials and methods
Subjects
The Birth to Twenty study is a cohort of urban children, which included all neonates delivered within the public sector hospitals between April 23 to June 8 1990 and who were resident in the greater Johannesburg area six months after delivery, with the aim to track their growth, health, well-being and educational progress. 3273 singleton children were enrolled. The total cohort is demographically representative of long-term resident families living in Johannesburg–Soweto. However, the cohort under represents white children due to white families utilizing private practitioners and facilities and thus not being enrolled. To compensate for this, at the age of 10 years, we recruited a supplementary sample of 120 white children born during the same period in 1990 into the bone health sub-study of the Birth to Twenty cohort. Of the 3273 children in the cohort initially, contact has been maintained with more than 70% at the age of 16 years. A cohort profile describing the study sample, research objectives and attrition has been documented by Richter et al. [7]. Data from 2031 children were analyzed for this study. The ethnic breakdown of the study sample was predominantly black (B) (1600 [78%]), with the remainder of the cohort being made up of white (W) (188 [9%]), mixed ancestry (MA) (213 [10.5%]) and Indian(I) (30 [1.5%]). Children who had chronic diseases such as rheumatoid arthritis, epilepsy and asthma were excluded from the data analyses, as the use of certain medications and immobility are associated risk factors for low bone mass and may increase the incidence of fractures. All subjects provided assent and their parents provided written, informed consent; ethical approval having been obtained from the University of Witwatersrand Committee for Research on Human Subjects.
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Questionnaire
A fracture questionnaire was completed by each adolescent at age 15 years and verified for completeness and accuracy by the parent or primary caregiver of the child. The questionnaire included information on previous fractures, their sites with the aid of a skeletal diagram, the causes and age at fracture. The grading of severity of trauma causing fractures was classified into slight (grade 1), moderate (grade 2) or severe (grade 3) (Table 1). The definitions were slightly modified from Landin [3] and Manias et al. [8] to be appropriate for local conditions.
Table 1
Grades of trauma causing fractures
Grade
Cause
Grade 1 (Slight)
Falling to the ground from standing on the same level
Falling from less than 0.5 metres (falling from stools, chairs and beds)
Grade 2 (Moderate)
Falling from between 0.5 – 3 metres
Falling down stairs, from a bicycle, roller blades, skateboard or swing
Playground scuffles
Sport injuries
Grade 3 (Severe)
Falling from a height >3 metres (falls from windows or roofs)
Motor vehicle or pedestrian accidents
Injuries caused by heavy moving or falling objects (e.g., bricks or stones)
Data analysis
Data were analyzed using Statistica statistical software version 7.0 (StatSoft, USA). Standard statistical measures such as chi-square were used where appropriate. A p-value of <0.05 was considered to be statistically significant. Fracture rates were calculated as the number of new cases or fractures divided by total person-time of observation. Because of the small number of subjects in the Indian ethnic group, statistical analyses generally did not include this group.
Results
Of the 2031 subjects, four hundred and forty-one (22%) children had one or more fractures during their lifetime. (Table 2) The highest percentage of children with a history of fractures was in the white population (41.5%), followed by the Indian (30%), mixed ancestry (21%) and the black (19%) populations. (Table 2) There was a significant difference between the ethnic groups in the percentage of children who had fractures over the 15 years (p < 0.001). No further data are shown on the Indian subjects as the results are unreliable due to low numbers. A higher percentage of white males (47%) and females (36%) had fractured compared to those in the black (25% and 14% respectively) and mixed ancestry (26% and 15% respectively) ethnic groups. (Table 2) The overall fracture rate over the first 15 years of life was 18.5/1000 children/annum. The age distribution and peak rates of fractures were similar between the black and mixed ancestry ethnic groups, but the fracture rates were higher at all ages in the white population. (Figure 1) The fracture rate over the first 15 years of life was three times greater in the white group than in the black and mixed ancestry groups (W 46.5 [95% CI 30.4–58.3]; B 15.4 [95% CI 9.8–20.1]; MA 15.6 [95% CI 7.7–23.5] /1000 children/annum, p < 0.001). First fracture was more common in the white group than in the black and mixed ancestry groups (W 31.2 [95% CI 19–41.6]; B 12.9 [95% CI 8.7–16.4]; MA 13.8 [95% CI 6.9–20.6] /1000 children/annum; p < 0.001).
Fig. 1
Fracture rates per year by age and ethnicity
Table 2
The number of children who sustained fractures over the first 15 years of life according to ethnicity and sex
Ethnicity
All children
Number of children with fractures
Total children with fractures
Males
Females
N
N
(%)
(%)
(%)
White
188
78
41.5
47
36
Indian
30
9
30
43
19
Mixed ancestry
213
44
21
26
15
Black
1600
310
19
25
14
Total
2031
441
22
27.5
16.3
×
More boys than girls sustained fractures (27.5% vs. 16.3%; p < 0.001) throughout all age groups except in the first year of life. (Figure 2) Of all fractures, 64% occurred in males. The peak age of fractures was between 11–14.9 years for the sexes combined. The peak fracture rate for girls was between 11–13.9 years of age during which period 10% fractured and between 11–14.9 years of age for boys when 19% fractured. The fracture rate from 11–14.9 years of age in white males was almost three times higher than in black males (101.1 [95% CI 59.9–142.4] vs. 37.3 [95% CI 19.5–55.2] /1000 children/annum, p < 0.001) and double that of the mixed ancestry group (49.5 [95% CI 10–89] /1000 children/annum, p < 0.002). The fracture rate from 11–13.9 years of age in white females was three times greater than in black (60.6 [95% CI 17.1–104.1] vs. 17 [95% CI 9–25.1] /1000 children/annum; p < 0.001) and mixed ancestry females (18.7 [95% CI -4.6–41.9] /1000 children/annum; p < 0.003).
Fig. 2
Fractures per year by age and sex distribution. The number of males and females in the study were similar
×
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Of the 441 children reporting fractures, 80% sustained a single fracture and 20% fractured on more than one occasion. More boys than girls sustained two or more fractures (23% vs. 15% of those fracturing; p < 0.001). The maximum number of fractures sustained by an individual was five.
The most common site of fracture for both sexes across the ethnic groups was the upper limb (57%) (Fig. 3). Other fracture sites included the neck, ribs, pelvis, face, vertebrae and skull. The fracture rate at each site was highest in white children (p < 0.025) (Fig. 3). Fracture rates at the different sites were similar in the black and mixed ancestry groups, but lower than in white children.
Fig. 3
Fracture rates over 15 years between ethnic groups at the different fracture sites. The p values indicate the significant difference between fracture rates of the white children and those of the black and mixed ancestry children
×
Most fractures occurred as a consequence of grade 2 trauma within all ethnic groups. There was a statistically significant difference in the grades of trauma causing fractures between the white and black ethnic groups (p < 0.025), with whites generally fracturing at more severe levels of trauma. (Table 3).
Table 3
Grades of trauma causing fractures versus ethnicity and sex
Grades of trauma causing fractures
All fractures occurring in individuals according to grades of trauma
Black*
White
Mixed ancestry
Males** n (%)
Females n (%)
Males n (%)
Females n (%)
Males n (%)
Females n (%)
Grade 1
61 (25)
41 (32)
10 (13.5)
9 (16)
9 (26)
7 (44)
Grade 2
151 (62)
70 (55)
56 (76)
38 (67)
21 (62)
7 (44)
Grade 3
28 (12)
16 (12.5)
7 (9.5)
9 (16)
3 (6)
2 (12)
Do not recall
2 (1)
1 (0.5)
1 (1)
1 (1)
1 (3)
0 (0)
Note: The Indian group was excluded due to small number of subjects
* p < 0.025 Fractures in blacks associated with lower grades of trauma than in whites
** p < 0.035 Fractures in black males associated with lower grades of trauma than in white males
Discussion
This study shows that fracture rates in children in South Africa vary across the different ethnic groups, with the percent of children reporting fractures in the white ethnic group being almost double that of the black and mixed ancestry groups. As far as we can ascertain, this is the first comparative study of children’s fractures across ethnic groups reported in the world. Numerous studies from developed countries have reported on the incidence of childhood fractures in defined populations [3, 9‐13] and in longitudinal cohort studies [14], but none have reported on ethnic differences in childhood fracture patterns and rates. The lower fracture incidence in black than white children is similar to that noted for femoral neck fractures in adults in South Africa [6].
The risk of osteoporotic fractures in the elderly is related to gender and ethnicity. The National Osteoporosis Risk Assessment (NORA) longitudinal observational study of osteoporosis among postmenopausal women in primary care practices compared white, Asian, Hispanic and Native American women in terms of osteoporosis risk and showed that these ethnic groups are more at risk for osteoporosis than African-American women [15]. Similarly African-American women have a lower fracture risk than white women at every level of bone mineral density and this relationship is largely explained by environmental and genetic factors that need to be further investigated [16].
Although only 22% of children in the combined cohort reported fractures, 41.5% of white children suffered one or more fractures; this latter figure being comparable to that found in the Dunedin Multidisciplinary Health and Development study whose participants were predominantly Caucasian [14]. The percentage of fractures in white boys and girls in the present study is also similar to those reported by Landin where by the age of 16 years, 42% of boys and 27% of girls had suffered a fracture [3]; however they are somewhat higher than those reported from a cross-sectional study in Poland, in which 30% of 1246 respondents had fractured by the age of 16 to 20 years [13]. In the current study, the fracture rate in white children were three-fold that found in the black and mixed ancestry groups and more males than females sustained multiple fractures, the latter finding being in keeping with other population based studies[3, 9, 12‐14,17]. The reasons for the increased fracture rate in boys may be due to the fact that males are more involved in contact and high impact team sports than girls and tend to spend more time outdoors playing [13]. Landin reported a fivefold increase in fracture rates caused by sports between 1950 and 1979 in Sweden [3]. The fact that more males sustained multiple fractures supports the evidence for sport playing a role in the increased fracture rate in males. There was a significant difference in the grading of trauma associated with fractures between the white and black children suggesting that sport and physical activity plays a role in the increased rate of fractures in the white group. We have previously reported lower physical activity levels in black children [18], which is related to the lack of organized sports in schools attended mainly by black subjects and the poorer socio-economic status of the black families [19]. McVeigh et al. previously reported that white males at age 9 and 10 years from the same Birth to Twenty longitudinal study had the highest physical activity levels and those white male children falling into the highest quartile of activity exhibited bone mass benefits at the whole body, total hip and lumbar spine sites [20]. Despite the highest physical activity levels in white male children, black children still had a higher hip, mid-radial and lumbar spine (girls only) bone mass and similar values to their white peers at other sites[18, 20]. These findings support the hypothesis of a genetic protection against low bone mass and fracture in blacks. Fractures on average were reported to have occurred at a higher energy level in white children but this is unlikely to have been due to different interpretations of the questions by the ethnic groups as a single researcher classified the degree of trauma resulting in fractures according to the answers given as to how the fractures happened. Further, a single interviewer helped with the questionnaires to eliminate the problem with language and interpretation of questions.
Upper limb or radial fractures have been repeatedly reported to be the most common site of fracture in both sexes [3, 9, 12, 14, 17]. This study confirms these findings in all the ethnic groups. Peak age of fractures for both males and females found in this study correlate with stages of pubertal growth and peak height velocities which are compatible with other studies[3, 9, 13, 14].
Limitations of the study include the fact that the results for Indian children are unreliable due to very small number of subjects included in the cohort. Recall bias might be another limitation as the diagnosis of all fractures was based on recall by the subject and the parent or caregiver and was not confirmed with radiological assessments; however this was probably not a major factor in the study as at all ages the findings were consistent between the ethnic groups. The methodology of year 15 data collection on fractures was able to confirm the age, site and cause of previous fractures that had been recorded at year 13 and also collected information on new fractures occurring between 13 and 15 years. In addition, all questionnaires had a skeletal diagram attached to verify the site of fracture and the information was verified for accuracy and completeness by the parent or primary caregiver.
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The chances of a fracture not being diagnosed in the different ethnic groups are unlikely to have differed despite having access to different levels of health care as health care in the public sector is free for all children. Both public and private health facilities in urban areas would perform routine radiological assessments to confirm fractures. Further limitations are that there are currently no comparative analyses of bone mass, potential fracture-associated risk factors, dietary intake of calcium or vitamin D and measurements of calcium homeostasis and vitamin D status between the ethnic groups. Rather than to look at risk factors, the aim of the present report is to describe the pattern of childhood fractures amongst different ethnic groups in South Africa.
Conclusion
This is the first study to show that white children fracture more than children from black and mixed ancestry groups. When comparing whites to blacks, these findings are similar to the pattern in the post-menopausal population. The reasons for this could be more active participation in sport and physical activity in white children and genetic protective factors in blacks, which has to be further investigated.
Acknowledgements
Birth to Twenty is funded by the Wellcome Trust (UK), Medical Research Council of South Africa, Human Sciences Research Council of South Africa, and by the Friedel Sellschop Award to Dr Norris from the University of the Witwatersrand, Johannesburg. The Bone Health sub-cohort is supported by a National Research Foundation grant.
Conflicts of interest
None.
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