Literature DB >> 26603244

Comparison of birth weight between school health records and medical birth records in Denmark: determinants of discrepancies.

Camilla Bjørn Jensen1, Michael Gamborg2, Berit Heitmann3, Thorkild I A Sørensen4, Jennifer L Baker5.   

Abstract

OBJECTIVE: To compare reported birth weight (BW) information in school health records with BW from medical birth records, and to investigate if maternal and offspring characteristics were associated with any discrepancies.
DESIGN: Register-based cohort study.
SETTING: Denmark, 1973-1991. PARTICIPANTS: The study was based on BW recorded in the Copenhagen School Health Records Register (CSHRR) and in The Medical Birth Register (MBR). The registers were linked via the Danish personal identification number. PRIMARY AND SECONDARY OUTCOME MEASURES: Statistical comparisons of BW in the registers were performed using t tests, Pearson's correlation coefficients, Bland-Altman plots and κ coefficients. Odds of BW discrepancies >100 g were examined by logistic regressions.
RESULTS: The study population included 47,534 children. From 1973 to 1979 when BW was grouped in 500 g intervals in the MBR, mean BW differed significantly between the registers. During 1979-1991 when BW was recorded in 10 and 1 g intervals, mean BW did not significantly differ between the two registers. BW from both registers was highly correlated (0.93-0.97). Odds of a BW discrepancy significantly increased with parity, the child's age at recall and by marital status (children of married women had the highest odds).
CONCLUSIONS: Overall, BW information in school health records agreed very well with BW from medical birth records, suggesting that reports of BWs in school health records in Copenhagen, Denmark generally are valid. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  EPIDEMIOLOGY; OBSTETRICS; PAEDIATRICS

Mesh:

Year:  2015        PMID: 26603244      PMCID: PMC4663451          DOI: 10.1136/bmjopen-2015-008628

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Large register-based study population. Medical birth records are not always available but other sources of information might exist. Validation studies like the present one are useful in such circumstances. Limited information on maternal and offspring characteristics was available.

Introduction

Birth weight (BW) has been identified as an important indicator of health for the child at birth, during infancy and also later in adult life.1–3 Officially recorded BW information is not always available to support current research into adult onset diseases, and it is therefore important to obtain valid information on BW collected retrospectively. Owing to the identified associations between BW and later disease outcomes,4 information on BW is often included in epidemiological research. In many cases, BW information can be retrieved from birth or medical records; however, this is not always possible and the use of recalled information may be the only option. In general, mothers recall the BW of their children with a high degree of accuracy;5–9 however, the accuracy varies between studies, possibly depending on the recall period (ranging from days to decades) and maternal characteristics. In one study, 58% of the mothers recalled their child's BW to within 100 g of the recorded BW 6 years after birth9 versus in two other studies where the rate was 92% at 9 months5 and 8–18 years after birth.6 As such, it is possible that parents recall their children's BWs very well, or that there is publication bias in this area as studies demonstrating low correlations or poor agreement were not identified in the literature. Therefore, in this study, we compared reports of BW obtained at the first school examination and recorded in health records with the recorded BW from medical birth records, and we investigated if maternal and offspring characteristics predicted the discrepancies between BW values in the two registers.

Methods

Study population

The Copenhagen School Health Records Register (CSHRR) is a population-based register that includes virtually every schoolchild in Copenhagen born between 1930 and 1991 and includes 381 110 records. The register has been established in collaboration between the Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region and the Copenhagen City Archives. The computerised register contains basic information about each child (name, sex, date of birth, personal identification number), along with annual measures of height and weight throughout school ages. From the birth year of 1936 onwards, information on BW was obtained at the time of the school entry examination which typically occurred when the children were aged 5–7 years. During the years included in this study (1973–1991), BW was either obtained at the first school examination or via a returned health questionnaire. The source of the BW information contained in the school health records, however, was not noted. The CSHRR is described in greater detail elsewhere.10 The Medical Birth Register (MBR) is a national medical register that contains computerised information on all births in Denmark since 1973. Information on births was reported to the Danish Health Authorities on a form filled out by the midwife shortly after delivery. From 1973 to 1977, BW was recorded in 500 g units in the MBR; however, the rounding procedure was not documented. From 1978 to 1990, BW was recorded in 10 g units, and from 1991 onwards it was recorded in 1 g units. The MBR also contains information on gestational age which was measured in weeks from 1973 to 1978 and in days from 1978 onwards. The mother's age, parity and civil status were also registered in the MBR. Further details of the register can be obtained elsewhere.11 The Danish personal identification number was used to link the two registers during the overlapping period from 1973 to 1991, and children with BW information in the CSHRR and the MBR were identified. An access and linkage permission was obtained from the Danish Data Protection Agency (J. no. 2012-4-1156). This type of research based on pre-existing routinely collected data does not require ethical permission in Denmark. We excluded children with BW values below 500 g, as these were likely to be erroneous on the basis of the chance of survival of very small children during the study period (O Pryds, personal communication 2014). On the basis of the highest BW reported in Denmark of 6 150 g, values above this level were excluded.12 BW was analysed as a continuous variable (in grams) and divided into categories of 500–1 499, 1 500–1 999, 2 000–2 750, 2 751–3 250, 3 251–3 750, 3 751–4 250, 4 251–5 500, 5 501–6 150 g, which were chosen to minimise the effects of digit preference.13 Information on gestational age is recorded in the MBR but not in the CSHRR. BW is strongly associated with gestational age, and we wanted to explore if reported BW varied by gestational age. We grouped gestational age into term categories (preterm: before 37 weeks, early term: 37 0/7 weeks to 38 6/7 weeks, full term: 39 0/7 weeks to 40 6/7 weeks, late term: 41 0/7 weeks to 41 6/7 weeks, post-term: 42 0/7 weeks and beyond).14 On the basis of measured values of height and weight taken at the examination when the BW value was reported, we calculated a body mass index (BMI; kg/m2) for each child. Each child's weight status (underweight, normal weight, overweight, obesity and morbid obesity) was classified using age-specific and sex-specific BMI cut-offs issued by the International Obesity Task Force.15

Statistical analyses

To assess if children who were missing BW information differed from those who had it in regard to sex and BW (from the other register), comparisons were made using t tests and χ2 tests. Likelihood ratio tests were used to evaluate if the association between BW in the two registers could be described linearly or exponentially. Scatter plots were generated to compare BW values between the two registers. Comparisons of mean (SD) BWs within each register within categories of overall sex-specific time periods (1973–1978, 1979–1990, 1991) and gestational age were made using t tests. Pearson's correlation coefficients were calculated by time period. To graphically illustrate the agreement in BW values between the two registers, Bland-Altman plots were generated also by time period. Within the Bland-Altman plots, the limits of agreement were drawn at ±1.96SDs. To test the agreement between the two registers, we used κ coefficients for categories. The κ coefficient was not calculated for the period 1973–1978 because of the 500 g rounding in the MBR. Using a distribution plot of differences in BW between the two registers, we identified outlying values with large discrepancies (>500 g). To examine if these participants differed from the overall population, comparisons by sex and year of birth were performed with χ2 tests. Logistic regressions were performed to examine if differences of >100 g in BW between the two registers were associated with maternal characteristics (maternal age, civil status and parity) from the MBR and offspring characteristics (age and BMI categories at the time of recall and year of birth) obtained from the CSHRR. Interactions between parity, age at BW recall and civil status were assessed.

Results

Of 381 110 children in the CSHRR, 63 438 (16.6%) were born during 1973–1991 where the two registers overlapped and had a personal identification number. 11 971 (18.9%) children did not have information on BW in the CSHRR, and 3 832 (6.0%) did not have information on BW in the MBR. In the CSHRR, there were no statistically significant differences between children with and without BW information in regard to sex and BW (from the MBR) (all p>0.05). In the MBR, there were no statistically significant differences in BW (from the CSHRR) between children with and without BW information, but more boys (53% vs 51%, p=0.003) and fewer girls (47% vs 49%, p=0.003) had missing BW information. The final study population consisted of 47 534 children (74.9% of the eligible population) after the exclusion of children with BWs below 500 g or above 6150 g (see online supplementary figure S1). The BW distribution was approximately normal in the MBR and the CSHRR. Digit preference was present in both registers for all time periods. Unsurprisingly, it was more apparent in the MBR than in the CSHRR during 1973–1979 when BW in the MBR was categorised in 500 g units (see online supplementary figure S2). Descriptive statistics can be seen in table 1.
Table 1

Descriptive statistics for BW in the CSHRR and the MBR by birth year groups according to MBR procedural changes

Birth weight (grams)
Information source and periodNMeanSDMedianMinimumMaximum
CSHRR
1973–199147 534334256433505006000
MBR*
1973–197715 807303655830005006000
1979–199028 708334655533507305750
19913019339156434166345600

*From 1973 to 1977, BW was recorded in 500 g units in the MBR. From 1978 to 1990, BW was recorded in 10 g units, and from 1991 onwards in 1 g units.

BW, birth weight; CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register.

Descriptive statistics for BW in the CSHRR and the MBR by birth year groups according to MBR procedural changes *From 1973 to 1977, BW was recorded in 500 g units in the MBR. From 1978 to 1990, BW was recorded in 10 g units, and from 1991 onwards in 1 g units. BW, birth weight; CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register. Mean BW was significantly different only in the first period of the MBR (1973–1979) where the mean BW was ∼300 g higher in the CSHRR than in the MBR, most likely due to rounding procedures used in the MBR. During the two later periods (1979–1990 and 1991), mean BW was not significantly different in the two registers (table 2). We combined the two later periods in the remaining analyses because there were no notable differences between these periods and because the last period consisted of only one birth year and 3 019 children. There were no statistically significant differences between BW from the two registers when examined by maternal and offspring characteristics (all p>0.1) in the period 1979–1991 (table 2).
Table 2

Comparison of BW from the CSHRR and the MBR stratified by birth year groups according to MBR procedural changes and by maternal and offspring characteristics

NBirth weight (grams)
p Value*
CSHRR
MBR
MeanSDMeanSD
1973–1978
 All15 80733235553036558<0.0001
 Boys798033825683092569<0.0001
 Girls782732635352980540<0.0001
1979–1990
 All28 708334856833465550.67
 Boys14 782340958034075660.67
 Girls13 926328354732825350.86
1991
 All3 019338957733915640.67
 Boys1540344658734465780.98
 Girls1479333056033325420.90
Maternal characteristics
Maternal age (years)
 <201187325254332445180.69
 20–3019 183333755433345420.58
 30–4010 772338759233885790.87
 40–50582340160334065870.89
 ≥503329252532905240.99
Civil status
 Married16 533336957633675590.68
 Divorced1 970332059333215840.98
 Not married13 224333555533345470.90
Parity
 117 219330855533045440.49
 210 101340057534025610.84
 32976340358234025590.99
 4892343962334306040.76
 5332342258934415660.68
 ≥6207343662634536140.78
Offspring characteristics
Year of birth
 1979–816607332256533225520.99
 1982–846248330657733055650.91
 1985–877591334456633415500.75
 1988–9111 281340156533995540.78
Age at recall (years)
 5–62984338155633795410.87
 6–6.59662336356333625500.90
 6.5–710 410335556433545540.93
 7–87245332758233235650.65
 >81316332659833285790.94
BMI classification at BW recall
 Underweight2384310059230975760.88
 Normal weight25 186335855833575450.88
 Overweight3104346856034625410.68
 Obese542351461435075980.84
 Morbidly obese401337862233605970.68

*Comparisons made by paired t tests.

†Comparisons of mean BW by maternal and offspring characteristics are only presented for the period 1979–1991.

BMI, body mass index; BW, birth weight; CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register.

Comparison of BW from the CSHRR and the MBR stratified by birth year groups according to MBR procedural changes and by maternal and offspring characteristics *Comparisons made by paired t tests. †Comparisons of mean BW by maternal and offspring characteristics are only presented for the period 1979–1991. BMI, body mass index; BW, birth weight; CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register. BWs in the CSHRR and the MBR were highly correlated. The lowest correlation coefficient was seen in the earliest period (0.93 (95% CI 0.92 to 0.93)) compared to the later period (0.97 (95% CI 0.97 to 0.97)); however, the correlations were still high in all periods. From online supplementary figure S3, it can be seen that the rounding of BW in 500 g intervals in the MBR from 1973 to 1978 was very obvious. The association between BW in the two registers was linear in both periods. The distribution of the discrepancies in BWs from the two registers can be seen in online supplementary figure S4. In the first period (1973–1978), most discrepancies were <0 g (98%), meaning that BW in the CSHRR was generally higher than BW in the MBR. A total of 95% of the discrepancies were distributed within the interval −500 to 0 g. Four-hundred and sixty six observations were distributed outside this interval with a maximal difference of 3 300 g. In the second period (1979–1991), the discrepancies were distributed almost equally around zero with 95% within the interval of ±500 g. Four-hundred and thirty eight observations were distributed outside this interval with a maximal difference of 3 514 g. For both periods, we found no differences with respect to sex (all p>0.6) among the outliers than in the rest of the population, but there was a difference in the distribution according to the year of birth (all p<0.001). However, there were no obvious patterns in the yearly distribution. Within each register, BW was categorised into eight groups and we compared if each child was assigned to the same BW category by both registers. This was only done for the period 1979–1991 due to the rounding procedures in the MBR during 1973–1978. 94.5% of BWs were placed in the same BW category by both registers, 4.7% were placed in adjacent BW categories and only 0.1% were placed more than two BW categories apart. The κ coefficient (0.93) showed very high agreement between the two registers (table 3).
Table 3

Cross tabulation of observations in BW categories by the CSHRR and the MBR for birth years 1979–1991

MBR
Birth weight groups (grams)<15001500–19992000–27502751–32503251–37503751–42504251–5500>5500Total
CSHRR
 <15001817849210212 (0.7%)
 1500–199983322642000372 (1.3%)
 2000–27501182 943133303103129 (10.6%)
 2751–325020997 95431729108402 (28.4%)
 3251–3750001530710 2721406010 740 (36.3%)
 3751–4250002492265 0853505397 (18.2%)
 4251–55000011228791 23101351 (4.6%)
 >55000001114310 (0%)
 Total192 (0.6%)357 (1.2%)3 094 (10.4%)8 464 (28.6%)10 885 (36.8%)5343 (18.0%)1 279 (4.3%)3 (0%)29 613
κ0.93
Agreement94.6%
Expected agreement26.1%

BW, birth weight; CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register.

Cross tabulation of observations in BW categories by the CSHRR and the MBR for birth years 1979–1991 BW, birth weight; CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register. The Bland-Altman plots of the differences in BW between the two registers per average BW generally showed good agreement (figure 1). In the 1973–1978 period, the rounding procedures in the MBR were apparent. In this period, the plot illustrates that the BW reports in the MBR were, on average, lower than the ones in the CSHRR.
Figure 1

Bland-Altman plots of birth weight (grams) in the CSHRR and the MBR according to MBR procedural changes. The solid line illustrates the mean difference and the dashed lines represent the ±1.96SDs. In the 1973–1978 plot, the mean difference was −287 g, with an SD of 215 g. In the 1979–1991 plot, the mean difference was −2 g, with an SD of 146 g. CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register.

Bland-Altman plots of birth weight (grams) in the CSHRR and the MBR according to MBR procedural changes. The solid line illustrates the mean difference and the dashed lines represent the ±1.96SDs. In the 1973–1978 plot, the mean difference was −287 g, with an SD of 215 g. In the 1979–1991 plot, the mean difference was −2 g, with an SD of 146 g. CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register. In the 1979–1991 period, the Bland-Altman plot did not reveal any systematic patterns of deviations between BWs in the two registers. For the majority of BWs (n=30 528, 96.2%), the difference between the two registers fell within the range of −287 to 284 g (corresponding to±1.96 SDs, indicated by the dashed lines in figure 1). Few values fell above these limits (n=584, 1.8%) and few fell below (n=615, 1.9%). In the period 1973–1978, the mean BW within term categories was significantly different in the two registers (see online supplementary table S1). In the period 1979–1991, none of the BWs were significantly different by gestational age categories. There was a statistically significant increasing trend in BW by term status; however, the SDs within each of these categories overlapped. Results from the bivariate logistic regressions of differences in BW of >100 g showed that the odds of a discrepancy increased with younger maternal age and higher parity (table 4). Compared with married women, divorced and non-married women had lower odds of a discrepancy. The odds of a discrepancy did not show a discernible pattern by year of the child's birth. Compared with children who had their BW reported at 6.5–7 years of age, those who had it reported at the youngest ages (5–6 years) and older ages had a higher odds of a discrepancy. Results from the multivariate logistic regressions showed the same associations for maternal age, civil status, parity and the child's age when the BW was reported. No statistically significant interactions among these characteristics were identified.
Table 4

OR (95% CI) of BW discrepancy >100 g between BW from the CSHRR and the MBR stratified by maternal and offspring characteristics for the birth years 1979–1991

 OR of BW difference >100 g
Bivariate model
Multivariable model
NOR95% CI
NOR95% CI
Maternal age
 <20 years11871.220.911.631 1851.641.212.20
 20 ≤years <3019 183Reference19 114Reference
 30 ≤years <4010 7721.211.081.3710 7360.920.811.04
 40 ≤years <505821.741.222.475790.920.631.34
 ≥50 years3
Civil status
 Married16 533Reference16 469Reference
 Divorced19700.790.621.011 9650.760.590.97
 Not married13 2240.570.510.6513 1800.780.680.89
Parity
 117 219Reference17 154Reference
 210 1011.851.622.1110 0731.841.602.12
 329762.622.203.112 9632.602.153.14
 48923.052.333.988902.922.193.88
 53324.643.246.643294.443.056.47
 ≥62075.973.968.982055.733.738.82
Offspring characteristics*
 Sex
 Boy16 322Reference16 257Reference
 Girl15 4051.080.971.2115 3571.080.961.21
Year of birth
 1979–816607Reference6 598Reference
 1982–8462480.870.731.036 2280.900.751.07
 1985–8775910.770.650.927 5660.800.670.95
 1988–9111 2810.840.730.9811 2220.890.761.04
Age at BW recall (years)
 5–629841.551.281.882 9841.371.131.67
 6–6.596621.00.861.169 6600.970.831.13
 6.5–710 410Reference10 410Reference
 7–872451.181.011.387 2451.211.031.42
 >813161.811.412.331 3151.681.302.16
BMI category at BW recall
 Underweight2 3841.00.801.242 3840.960.771.19
 Normal weight25 186Reference25 185Reference
 Overweight3 1040.980.811.193 1030.770.471.25
 Obese5420.800.491.315411.080.681.74
 Morbidly obese4011.230.771.964010.960.771.19

*Information obtained from the CSHRR. BW, birth weight; CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register.

OR (95% CI) of BW discrepancy >100 g between BW from the CSHRR and the MBR stratified by maternal and offspring characteristics for the birth years 1979–1991 *Information obtained from the CSHRR. BW, birth weight; CSHRR, Copenhagen School Health Records Register; MBR, Medical Birth Register.

Discussion

We found that reports of BWs in the CSHRR agreed very well with the recorded BWs in the MBR. The MBR recorded BW in 500 g units from 1973 to 1978, which was obvious in our results and made the agreement between the two registers poorer than in the remaining study period. We used several different methods to compare BW in the two registers. Whether BW was compared continuously or categorically, the message was the same—there was a high degree of agreement between the two. We found a high correlation between the MBR and the CSHRR, especially in the period after 1978 (0.97), which is similar to what other validation studies have found (0.97–0.98).6–8 In total, 94.5% of BWs were placed in the same BW category by the two registers and there were no discernible patterns in the misclassifications. Other studies have also reported agreement of BW in categories, but there are large differences in the range of the BW categories, the methods used and the nationalities of the populations. The definition of BW groups influences the degree of agreement whereby smaller groups increase the likelihood of misclassification. However, the agreement was high irrespective of the BW groups used. In another Danish study, the BW was categorised as low, normal and high, and the agreement of classification was 98%.6 Among Israeli mothers, approximately 80% recalled their children's BW correctly within 500 g BW categories.9 In a study of American and Canadian mothers, the agreement was 93% using four BW categories of <3, 3–3.5, 3.5–4 and >4 kg.7 Another study of American mothers showed that the sensitivity ranged from 90.3 to 93.6% and that the specificity ranged from 97.8% to 99.3% when BW groups were defined as above and below different BW values (1.5, 2, 2.5, 3.5 and 4 kg).8 One of the major strengths of this study is that the MBR and the CSHRR are based on large unselected populations that minimise the risk of selection bias. One limitation of the CSHRR is the lack of information on child characteristics like socioeconomic status and lifestyle factors that could have been included in the analyses and potentially could have predicted discrepancies.10 The major limitation of the MBR is the rounding procedure used from 1973 to 1978.11 The analyses were restricted to BW values from 500 to 6150 g to avoid overtly erroneous values. A comparison of BW values based on gestational age categories (taken from the MBR) did not reveal any significant differences in the 1978–1991 period, suggesting that these BW values are reasonable given the infant's gestational age. Although BW was most likely reported by the mother in the CSHRR during the years included in this study, it is a possibility that it was reported by the father or another adult with parental responsibility. In Copenhagen, each child was issued an infancy health book in which BW was recorded by the visiting health nurse shortly after delivery. These books were commonly used as a continuous health record for children, so it is possible that some parents either used this book when filling in the questionnaire or brought it with them to the examination, thus contributing to the high agreement between BW values in the CSHRR and the MBR. In the CSHRR, we have no indications of the source of the BW, and therefore we do not know if it was the majority of parents who brought the book or not. Another possible explanation is that parents (and mothers in particular) remember their children's BW very well. BW is typically reported to family and friends after the birth of the child and this might aid memorisation. BW may also have a special psychological importance that enables parents to accurately remember their child's BW. In the present study, BWs were obtained at the school entry examination, which occurred when the children were aged 5–7 years with a few exceptions of older children who entered the register when they transferred from other schools. Other studies had other time frames ranging from 9–18 months to 6–18 years from birth to recall, but the overall conclusion has been that mothers seem to recall their children's BW very well irrespective of how much time has passed since.5–9 Our results fit well with these findings, even though we cannot be certain of whether a mother or other adult with parental responsibility reported the BW. We found that parity and maternal civil status influenced the odds of having a discrepancy between BW in the two registers, where the odds increased with parity and were reduced among non-married women. The pattern we observe for marital status most likely reflects that many of the unmarried mothers did have partners, and that in the Danish population it is not always an indicator of a low socioeconomic position. The child's age at recall was also associated with a discrepancy; the odds of a discrepancy were the lowest when the age at recall was between 6 and 8 years compared to <6 or >8 years. Other studies have also investigated the ability to recall BW according to various maternal characteristics.5–8 Two studies showed higher risks of a discrepancy >100 g among non-Caucasian women and women who have given birth previously compared with Caucasian and primiparous women, respectively.5 6 One of these studies also found that unemployed women remembered their child's BW less well as compared with working women, and that the lower the BW of the child, the higher was the risk of a discrepancy.5 Another study showed that mothers with less than a high school education had a higher risk of discrepancy between recalled and recorded BW.8 In contrast, another study investigated the ability to recall BW by maternal education, age and race, household income, time from delivery to maternal recall, and birth order of the child, and found no significant differences across any of these demographic subgroups.7 We examined BW recall during the birth years of 1973–1991 among Danes, and it is a possibility that recall may have changed since then or that it differs depending on which population is being investigated. In our study, we only had the possibility to look into recall ability according to maternal age, parity, civil status, offspring age and body size at recall and year of birth. Nonetheless, we had an unselected population where all socioeconomic groups were represented; the generalisability of our results should apply to a general Danish population. Medical birth records are not always available because of the studied time period or because retrieving records is too labour demanding; as such, recalled information might be the only source of BW. In such cases, a validation study like the present one is useful for demonstrating the accuracy of the BW data. Previous and future research based on the CSHRR will gain from the present conclusion that reports of BW in the CSHRR agreed very well with BW records in the MBR. Other cohorts or registers from similar populations can, however, also draw on the present conclusion that maternal reports of BWs are accurate and can be used as a reasonable substitute when medical birth records are unavailable.

Conclusion

Overall, reported BWs in the CSHRR agreed very well and accurately with recorded values from medical birth records, suggesting that these values are valid. Discrepancies in BW were more often seen among married women, women with several children, and among children who were below 6 or above 8 years at recall. These results suggest that research on associations between BW and adult onset diseases will not be biased by the use of information on BW that is obtained during childhood from school health records.
  13 in total

Review 1.  The influence of birthweight and intrauterine environment on adiposity and fat distribution in later life.

Authors:  I Rogers
Journal:  Int J Obes Relat Metab Disord       Date:  2003-07

2.  Reports of birthweight by adolescents and their mothers: comparing accuracy and identifying correlates.

Authors:  Victoria C Lucia; Zhehui Luo; Joseph C Gardiner; Nigel Paneth; Naomi Breslau
Journal:  Paediatr Perinat Epidemiol       Date:  2006-11       Impact factor: 3.980

3.  Cohort profile: the Copenhagen School Health Records Register.

Authors:  Jennifer L Baker; Lina W Olsen; Ingelise Andersen; Seija Pearson; Bente Hansen; Thorkild Ia Sørensen
Journal:  Int J Epidemiol       Date:  2008-08-21       Impact factor: 7.196

4.  ACOG Committee Opinion No 579: Definition of term pregnancy.

Authors: 
Journal:  Obstet Gynecol       Date:  2013-11       Impact factor: 7.661

5.  The Danish Medical Birth Registry.

Authors:  L B Knudsen; J Olsen
Journal:  Dan Med Bull       Date:  1998-06

Review 6.  Early developmental conditioning of later health and disease: physiology or pathophysiology?

Authors:  M A Hanson; P D Gluckman
Journal:  Physiol Rev       Date:  2014-10       Impact factor: 37.312

7.  Medical record validation of maternally reported birth characteristics and pregnancy-related events: a report from the Children's Cancer Group.

Authors:  J E Olson; X O Shu; J A Ross; T Pendergrass; L L Robison
Journal:  Am J Epidemiol       Date:  1997-01-01       Impact factor: 4.897

8.  Weight at birth and all-cause mortality in adulthood.

Authors:  Jennifer L Baker; Lina W Olsen; Thorkild I A Sørensen
Journal:  Epidemiology       Date:  2008-03       Impact factor: 4.822

9.  Factors affecting a mother's recall of her baby's birth weight.

Authors:  A Rosemary Tate; Carol Dezateux; Tim J Cole; Leslie Davidson
Journal:  Int J Epidemiol       Date:  2005-02-28       Impact factor: 7.196

10.  Accuracy and correlates of maternal recall of birthweight and gestational age.

Authors:  A R A Adegboye; Bl Heitmann
Journal:  BJOG       Date:  2008-06       Impact factor: 6.531

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  9 in total

1.  Birthweight, Childhood Body Mass Index, Height and Growth, and Risk of Polycystic Ovary Syndrome.

Authors:  Julie Aarestrup; Dorthe C Pedersen; Peter E Thomas; Dorte Glintborg; Jens-Christian Holm; Lise G Bjerregaard; Jennifer L Baker
Journal:  Obes Facts       Date:  2021-05-12       Impact factor: 3.942

2.  Birth weight, childhood body mass index and height and risks of endometriosis and adenomyosis.

Authors:  Julie Aarestrup; Britt W Jensen; Lian G Ulrich; Dorthe Hartwell; Britton Trabert; Jennifer L Baker
Journal:  Ann Hum Biol       Date:  2020-03-09       Impact factor: 1.533

Review 3.  Birthweight, childhood overweight, height and growth and adult cancer risks: a review of studies using the Copenhagen School Health Records Register.

Authors:  Julie Aarestrup; Lise G Bjerregaard; Kathrine D Meyle; Dorthe C Pedersen; Line K Gjærde; Britt W Jensen; Jennifer L Baker
Journal:  Int J Obes (Lond)       Date:  2020-01-23       Impact factor: 5.095

4.  Genetic and environmental factors affecting birth size variation: a pooled individual-based analysis of secular trends and global geographical differences using 26 twin cohorts.

Authors:  Yoshie Yokoyama; Aline Jelenkovic; Yoon-Mi Hur; Reijo Sund; Corrado Fagnani; Maria A Stazi; Sonia Brescianini; Fuling Ji; Feng Ning; Zengchang Pang; Ariel Knafo-Noam; David Mankuta; Lior Abramson; Esther Rebato; John L Hopper; Tessa L Cutler; Kimberly J Saudino; Tracy L Nelson; Keith E Whitfield; Robin P Corley; Brooke M Huibregtse; Catherine A Derom; Robert F Vlietinck; Ruth J F Loos; Clare H Llewellyn; Abigail Fisher; Morten Bjerregaard-Andersen; Henning Beck-Nielsen; Morten Sodemann; Robert F Krueger; Matt McGue; Shandell Pahlen; Meike Bartels; Catharina E M van Beijsterveldt; Gonneke Willemsen; Jennifer R Harris; Ingunn Brandt; Thomas S Nilsen; Jeffrey M Craig; Richard Saffery; Lise Dubois; Michel Boivin; Mara Brendgen; Ginette Dionne; Frank Vitaro; Claire M A Haworth; Robert Plomin; Gombojav Bayasgalan; Danshiitsoodol Narandalai; Finn Rasmussen; Per Tynelius; Adam D Tarnoki; David L Tarnoki; Syuichi Ooki; Richard J Rose; Kirsi H Pietiläinen; Thorkild I A Sørensen; Dorret I Boomsma; Jaakko Kaprio; Karri Silventoinen
Journal:  Int J Epidemiol       Date:  2018-08-01       Impact factor: 7.196

5.  Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics.

Authors:  Robin N Beaumont; Nicole M Warrington; Alana Cavadino; Jessica Tyrrell; Michael Nodzenski; Momoko Horikoshi; Frank Geller; Ronny Myhre; Rebecca C Richmond; Lavinia Paternoster; Jonathan P Bradfield; Eskil Kreiner-Møller; Ville Huikari; Sarah Metrustry; Kathryn L Lunetta; Jodie N Painter; Jouke-Jan Hottenga; Catherine Allard; Sheila J Barton; Ana Espinosa; Julie A Marsh; Catherine Potter; Ge Zhang; Wei Ang; Diane J Berry; Luigi Bouchard; Shikta Das; Hakon Hakonarson; Jani Heikkinen; Øyvind Helgeland; Berthold Hocher; Albert Hofman; Hazel M Inskip; Samuel E Jones; Manolis Kogevinas; Penelope A Lind; Letizia Marullo; Sarah E Medland; Anna Murray; Jeffrey C Murray; Pål R Njølstad; Ellen A Nohr; Christoph Reichetzeder; Susan M Ring; Katherine S Ruth; Loreto Santa-Marina; Denise M Scholtens; Sylvain Sebert; Verena Sengpiel; Marcus A Tuke; Marc Vaudel; Michael N Weedon; Gonneke Willemsen; Andrew R Wood; Hanieh Yaghootkar; Louis J Muglia; Meike Bartels; Caroline L Relton; Craig E Pennell; Leda Chatzi; Xavier Estivill; John W Holloway; Dorret I Boomsma; Grant W Montgomery; Joanne M Murabito; Tim D Spector; Christine Power; Marjo-Ritta Järvelin; Hans Bisgaard; Struan F A Grant; Thorkild I A Sørensen; Vincent W Jaddoe; Bo Jacobsson; Mads Melbye; Mark I McCarthy; Andrew T Hattersley; M Geoffrey Hayes; Timothy M Frayling; Marie-France Hivert; Janine F Felix; Elina Hyppönen; William L Lowe; David M Evans; Debbie A Lawlor; Bjarke Feenstra; Rachel M Freathy
Journal:  Hum Mol Genet       Date:  2018-02-15       Impact factor: 6.150

6.  Birth size and gestational age in opposite-sex twins as compared to same-sex twins: An individual-based pooled analysis of 21 cohorts.

Authors:  Aline Jelenkovic; Reijo Sund; Yoshie Yokoyama; Yoon-Mi Hur; Vilhelmina Ullemar; Catarina Almqvist; Patrik Ke Magnusson; Gonneke Willemsen; Meike Bartels; Catharina Em van Beijsterveldt; Leonie H Bogl; Kirsi H Pietiläinen; Eero Vuoksimaa; Fuling Ji; Feng Ning; Zengchang Pang; Tracy L Nelson; Keith E Whitfield; Esther Rebato; Clare H Llewellyn; Abigail Fisher; Gombojav Bayasgalan; Danshiitsoodol Narandalai; Morten Bjerregaard-Andersen; Henning Beck-Nielsen; Morten Sodemann; Adam D Tarnoki; David L Tarnoki; Syuichi Ooki; Maria A Stazi; Corrado Fagnani; Sonia Brescianini; Lise Dubois; Michel Boivin; Mara Brendgen; Ginette Dionne; Frank Vitaro; Tessa L Cutler; John L Hopper; Robert F Krueger; Matt McGue; Shandell Pahlen; Jeffrey M Craig; Richard Saffery; Claire Ma Haworth; Robert Plomin; Ariel Knafo-Noam; David Mankuta; Lior Abramson; S Alexandra Burt; Kelly L Klump; Robert F Vlietinck; Catherine A Derom; Ruth Jf Loos; Dorret I Boomsma; Thorkild I A Sørensen; Jaakko Kaprio; Karri Silventoinen
Journal:  Sci Rep       Date:  2018-04-19       Impact factor: 4.379

7.  Validation of birth certificate and maternal recall of events in labor and delivery with medical records in the Iowa health in pregnancy study.

Authors:  Christina Ziogas; Jenna Hillyer; Audrey F Saftlas; Cassandra N Spracklen
Journal:  BMC Pregnancy Childbirth       Date:  2022-03-22       Impact factor: 3.007

8.  Birth weight and the risk of histological subtypes of ovarian and endometrial cancers: Results from the Copenhagen School Health Records Register.

Authors:  Britton Trabert; Julie Aarestrup; Lian G Ulrich; Nicolas Wentzensen; Thorkild I A Sørensen; Jennifer L Baker
Journal:  Gynecol Oncol       Date:  2018-01-11       Impact factor: 5.482

9.  Associations between birth weight and colon and rectal cancer risk in adulthood.

Authors:  Natalie R Smith; Britt W Jensen; Esther Zimmermann; Michael Gamborg; Thorkild I A Sørensen; Jennifer L Baker
Journal:  Cancer Epidemiol       Date:  2016-05-17       Impact factor: 2.984

  9 in total

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