Literature DB >> 30847378

Data on trajectories of measures of cardiovascular health in the Avon Longitudinal Study of Parents and Children (ALSPAC).

Linda M O'Keeffe1,2, Andrew J Simpkin1,3,2, Kate Tilling1,2, Emma L Anderson1,2, Alun D Hughes4,5, Debbie A Lawlor1,2, Abigail Fraser1,2, Laura D Howe1,2.   

Abstract

Cardiometabolic disease risk begins in early life and tracks through the life course. As described in "Sex-specific trajectories of measures of cardiovascular health during childhood and adolescence: a prospective cohort study" (O'Keeffe et al., 2018), we modelled sex-specific change in 11 key measures of cardiovascular health from birth/early childhood to age 18 years in a British birth cohort study, the Avon Longitudinal Study of Parents and Children (ALSPAC). In this article, we describe the data used in these analyses. Risk factors measured included BMI, fat and lean mass, blood pressure and blood-based biomarkers. Data are from several sources including cord blood at birth, clinic assessments, routine health records, questionnaires and nuclear magnetic resonance spectroscopy. Outcomes were measured over varying time spans from birth or mid-childhood to age 18 and with different numbers of repeated measures per outcome. Analyses were performed using fractional polynomial and linear spline multilevel models. Further information can be found in O'Keeffe et al. (2018).

Entities:  

Year:  2019        PMID: 30847378      PMCID: PMC6389726          DOI: 10.1016/j.dib.2019.01.035

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table Value of the data Repeated measures of 11 key measures of cardiovascular health have been analyzed and trajectories of these are available for use as exposures or outcomes to address other research questions. These trajectories may also be useful in comparative work with other cohorts to better understand change in measures of cardiovascular health during childhood and adolescence, their determinants and associations with outcomes in later life. Modelling strategies used for these data may also be useful for others who wish to examine change over time in risk factors, where multiple repeat measures are available.

Data

The data shared here are tables and figures of analyzed data from the Avon Longitudinal Study of Parents and Children (ALSPAC). The ALSPAC is a prospective birth cohort study in Southwest England and is described elsewhere in detail [1], [2], [3]. In summary, pregnant women resident in Avon, UK with expected dates of delivery 1st April 1991 to 31st December 1992 were invited to take part in the study. Of the 14,541 initial pregnancies, there was a total of 14,676 foetuses, resulting in 14,062 live births and 13,988 children who were alive at 1 year of age. Ethical approval for the study was obtained from the ALSPAC Ethics and Law Committee and the Local Research Ethics Committees. Data was available for 11 measures of cardiovascular health from birth or mid-childhood to 18 years. Data on the number, timing and sources of measures are detailed elsewhere [1], [2], [3], [4], [5], [6], [7]. A comprehensive profiling of offspring circulating lipids, lipoproteins, and metabolites was done by a high-throughput nuclear magnetic resonance (NMR) metabolomics platform, providing a snapshot of offspring serum metabolome [8], [9]. Non-fasting glucose at age seven from NMR was included in these analyses. Data were analyzed by sex from birth to 18 years. Model fit statistics for analyses performed, characteristics of participants included and excluded from analyses, mean sex-specific trajectories of each measure of cardiovascular health and results from sensitivity analyses are included in this paper.

Experimental design, materials and methods

Study population

The ALSPAC has been described elsewhere in detail [1], [2], [3]. The study website contains details of all the data that is available through a fully searchable data dictionary http://www.bristol.ac.uk/alspac/researchers/our-data/ [4].

Methods and statistical analysis

Two approaches, linear splines and fractional polynomials multilevel models were used in the modelling of trajectories of measures of cardiovascular health [1], [10], [11], [12], [13]. We derived appropriate powers of height adjustment for DXA-determined fat and lean mass which were age and sex-specific and included these in multilevel models (Table 1). Observed and predicted measurements for models are shown in Table 2, Table 3, Table 4, Table 5, Table 6, Table 7, Table 8, Table 9, Table 10, Table 11, Table 12. We examined the characteristics of mothers of participants included in the analysis of insulin (outcome measured on the fewest participants and with fewest repeated measures) compared with mothers of participants excluded from our analysis (Table 13). The mean sex-specific trajectories of measures of cardiovascular health are shown in Table 14, Table 15, Table 16, Table 17. We also regressed the observed risk factor at the first occasion of measurement and last occasion of measurement (18 years) on sex to examine whether sex differences estimated from the multilevel model at these ages were comparable to the observed data (Table 18). We restricted the sample for each risk factor to those with at least one measure before and one after the 11-year clinic, to examine whether results from the main analysis were driven by participants with only a single pre- or post-puberty measure (Fig. 1, Fig. 2, Fig. 3, Fig. 4). We repeated analyses of BMI restricted to participants with more than six measures to examine if results were driven by participants with a greater number of measures (Fig. 5). We also repeated analyses excluding the observations of participants at the 15- and 18-year clinics who reported eating in the four hours preceding these clinics to examine if our results were altered by the inclusion of some non-fasted bloods (Fig. 6, Fig. 7). Glucose at age 15 and 18 from the NMR platform was compared with glucose from standard clinical chemistry assays at these ages to examine the comparability of NMR and clinical chemistry measures (Table 19).
Table 1

Age and sex-specific powers of height included in multilevel models of fat mass and lean mass

Fat massLean mass
Females
Overall
Age 9Height^5.2Height^2.3
Age 11Height^4.2Height^2.6
Age 13Height^3Height^2
Age 15Height^2.4Height^1.8
Age 18Height^1.8Height^1.8
Males
Overall
Age 9Height^6.6Height^2.1
Age 11Height^5.4Height^2.4
Age 13Height^2Height^2.8
Age 15Height^2.4Height^2.4
Age 18Height^1.9Height^1.8
Table 2

Model details for log BMI trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed BMI, log BMI in kg/m2 (SD)Mean predicted BMI, log BMI in kg/m2 (SD)Mean difference (observed – predicted), log BMI in kg/m295% level of agreement between observed and predicted, log BMI in kg/m2
Females
Overall56,1036815
1–3 years999552882.82 (0.09)2.81 (0.07)0.01-0.10 to 0.11
3–7 years12,43556312.77 (0.11)2.77 (0.08)-0.002-0.15 to 0.15
7–9 years711442092.81 (0.13)2.82 (0.13)-0.01-0.08 to 0.06
9–11 years817041842.88 (0.16)2.88 (0.15)-0.001-0.08 to 0.08
11–13 years668138522.96 (0.17)2.95 (0.16)0.01-0.07 to 0.10
13–15 years603637423.00 (0.16)3.00 (0.16)0.01-0.11 to 0.12
15–18 years567234743.10 (0.17)3.11 (0.16)-0.01-0.11 to 0.08
Males
Overall56,6657170
1–3 years10,88456292.84 (0.09)2.83 (0.07)0.01-0.10 to 0.11
3–7 years13,47059872.78 (0.10)2.78 (0.07)-0.004-0.14 to 0.14
7–9 years724743422.79 (0.12)2.80 (0.11)-0.01-0.08 to 0.06
9–11 years798641202.86 (0.15)2.86 (0.14)0.003-0.07 to 0.08
11–13 years639837562.93 (0.17)2.92 (0.15)0.01-0.06 to 0.09
13–15 years589536862.97 (0.16)2.97 (0.16)0.001-0.11 to 0.11
15–18 years478529913.07 (0.16)3.08 (0.16)-0.01-0.10 to 0.07
Table 3

Model details for log fat mass trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed (SD), log fat mass in kgMean predicted (SD), log fat mass in kgMean difference (observed – predicted), log fat mass in kg95% level of agreement between observed and predicted, ln log fat mass in kg
Females
Overall15,6194461
9 years366436642.14 (0.51)2.15 (0.48)-0.003-0.15 to 0.14
9–13 years720441352.29 (0.52)2.29 (0.50)0.002-0.17 to 0.17
13–15 years308530562.69 (0.44)2.70 (0.42)-0.01-0.21 to 0.19
15–18 years533033052.92 (0.41)2.92 (0.38)0.002-0.15 to 0.16
Males
Overall14,5244341
9 years357735771.81 (0.60)1.82 (0.55)-0.01-0.21 to 0.19
9–13 years700540551.98 (0.62)1.97 (0.58)0.01-0.22 to 0.24
13–15 years296429492.20 (0.62)2.23 (0.58)-0.03-0.33 to 0.27
15–18 years455528702.31 (0.64)2.31 (0.60)0.01-0.22 to 0.23
Table 4

Model details for lean mass trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed (SD), kgMean predicted (SD), kgMean difference (observed – predicted), kg95% level of agreement between observed and predicted, kg
Females
Overall15,6804474
9 years3675367523.66 (3.19)23.65 (3.03)0.01-2.12 to 2.15
9–13 years7228414826.46 (4.82)26.49 (4.55)-0.03-2.16 to 2.10
13–15 years3097306835.21 (4.04)35.08 (3.91)0.13-2.11 to 2.36
15–18 years5355331937.52 (4.17)37.56 (3.86)-0.03-1.75 to 1.68
Males
Overall14,5404344
9 years3586358625.51 (2.98)25.55 (2.43)-0.04-3.02 to 2.94
9–13 years7010405727.78 (4.31)27.75 (4.02)0.03-2.71 to 2.77
13–15 years2964294940.90 (7.16)41.04 (6.28)-0.14-3.57 to 3.28
15–18 years4564287452.25 (7.09)52.20 (6.88)0.05-2.18 to 2.28
Table 5

Model details for SBP trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed (SD), mmHgMean predicted (SD), mmHgMean difference (observed – predicted), mmHg95% level of agreement between observed and predicted, mmHg
Females
Overall23,7314957
7 years3967396799.06 (9.27)98.93 (5.49)0.14-10.91 to 11.19
7–12 years14,6964706102.96 (9.73)103.10 (6.30)-0.14-12.01 to 11.73
12–16 years62283671114.67 (10.95)114.17 (7.72)0.50-11.16 to 12.17
16–18 years28072702112.59 (8.53)112.95 (5.46)-0.36-12.75 to 12.03
Males
Overall22,5904965
7 years4090409098.83 (9.06)98.75 (5.33)0.08-10.49 to 10.65
7–12 years14,4974769102.35 (9.34)102.46 (6.06)-0.11-11.50 to 11.28
12–16 years58943532116.82 (12.36)116.42 (9.59)0.40-11.42 to 12.21
16–18 years21992139122.27 (9.42)122.59 (5.81)-0.32-12.21 to 11.58

SBP; systolic blood pressure.

Table 6

Model details for DBP trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed (SD), mmHgMean predicted (SD), mmHgMean difference (observed – predicted), mmHg95% level of agreement between observed and predicted, mmHg
Females
Overall23,7314957
7 years3967396756.86 (6.57)57.07 (3.27)-0.21-9.04 to 8.63
7–12 years14,696470658.51 (6.99)58.10 (3.58)0.41-9.81 to 10.64
12–16 years6228367161.00 (9.23)61.84 (4.69)-0.84-12.43 to 10.75
16–18 years2807270264.87 (5.98)65.17 (3.43)-0.29-13.17 to 12.58
Males
Overall22,5894965
7 years4090409056.09 (6.66)56.32 (3.46)-0.24-8.87 to 8.40
7–12 years14,497476957.68 (6.89)57.27 (3.62)0.41-9.45 to 10.27
12–16 years5894353261.16 (9.91)62.05 (5.49)-0.89-12.36 to 10.58
16–18 years2199213963.47 (6.19)63.85 (3.66)-0.37-12.78 to 12.03

DBP; diastolic blood pressure.

Table 7

Model details for pulse rate trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed (SD), bpmMean predicted (SD), bpmMean difference (observed – predicted), bpm95% level of agreement between observed and predicted, bpm
Females
Overall23,7314957
7 years3967396784.39 (10.69)84.64 (5.97)-0.25-13.65 to 13.16
7–12 years14,696470679.49 (11.37)79.28 (7.26)0.21-13.94 to 14.36
12–16 years6228367175.99 (11.06)76.37 (6.34)-0.37-14.66 to 13.91
16–18 years2807270267.96 (10.07)68.24 (5.97)-0.29-14.98 to 14.41
Males
Overall22,5904965
7 years4090409081.78 (10.59)81.61 (6.04)0.18-12.38 to 12.73
7–12 years14,497476975.79 (11.49)75.84 (7.73)-0.05-13.41 to 13.31
12–16 years5894353272.00 (11.11)71.78 (6.74)0.22-13.20 to 13.64
16–18 years2199213963.12 (9.60)63.37 (5.56)-0.25-14.55 to 14.05

bpm, beats per minute.

Table 8

Model details for glucose trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed, mmol/l (SD)Mean predicted, mmol/l (SD)Mean difference (observed – predicted), mmol/l95% level of agreement between observed and predicted, mmol/l
Females
Overall65193594
7 years264626464.14 (0.50)4.17 (0.24)-0.03-0.56 to 0.49
7–15 years307027514.24 (0.54)4.23 (0.28)0.01-0.56 to 0.58
15–18 years344923475.02 (0.37)5.03 (0.14)-0.01-0.60 to 0.58
Males
Overall65333661
7 years283428344.22 (0.50)4.26 (0.21)-0.04-0.63 to 0.56
7–15 years329029414.33 (0.55)4.32 (0.26)0.01-0.62 to 0.64
15–18 years324321915.22 (0.40)5.23 (0.13)-0.01-0.64 to 0.62
Table 9

Model details for log insulin trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed (SD), log insulin in mu/lMean predicted (SD), log insulin in mu/lMean difference (observed – predicted), log insulin in mu/l95% level of agreement between observed and predicted, ln log insulin in mu/l
Females
Overall901331
Birth1351351.10 (0.49)1.10 (0.26)-0.000000001-0.46 to 0.46
0–9 years1351351.10 (0.49)1.10 (0.26)-0.000000001-0.46 to 0.46
9–15 years2712701.66 (0.61)1.66 (0.43)-0.002-0.37 to 0.36
15–18 years4953292.17 (0.48)2.16 (0.27)0.001-0.50 to 0.51
Males
Overall930331
Birth1271271.03 (0.52)1.03 (0.16)-0.0000000002-0.73 to 0.73
9 years1271271.03 (0.52)1.03 (0.16)-0.0000000002-0.73 to 0.73
9–15 years2842831.51 (0.61)1.51 (0.31)-0.001-0.64 to 0.63
15–18 years5193301.99 (0.55)1.99 (0.26)0.0003-0.75 to 0.75
Table 10

Model details for log triglyceride trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed (SD), log triglyceride in mmol/lMean predicted (SD), log triglyceride in mmol/lMean difference (observed – predicted), log triglyceride in mmol/l95% level of agreement between observed and predicted, log triglyceride in mmol/l
Females
Overall10,9274992
Birth23582358-0.69 (0.45)-0.69 (0.23)-0.004-0.45 to 0.44
0–9 years49154055-0.34 (0.55)-0.35 (0.39)0.01-0.50 to 0.52
9–18 years60123333-0.12 (0.40)-0.11 (0.22)-0.01-0.53 to 0.52
Males
Overall10,9995136
Birth24122412-0.68 (0.45)-0.68 (0.20)-0.002-0.49 to 0.49
0–9 years51574294-0.36 (0.53)-0.37 (0.35)0.003-0.54 to 0.55
9–18 years58423276-0.16 (0.42)-0.16 (0.22)-0.003-0.56 to 0.55
Table 11

Model details for non-HDL-c trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed (SD), mmol/lMean predicted (SD), mmol/lMean difference (observed – predicted), mmol/l95% level of agreement between observed and predicted, mmol/l
Females
Overall10,8914979
Birth227922791.25 (0.53)1.28 (0.21)-0.02-0.65 to 0.60
0–9 years485640312.17 (1.05)2.12 (0.86)0.06-0.58 to 0.69
9–18 years603533372.74 (0.68)2.79 (0.52)-0.04-0.66 to 0.57
Males
Overall10,9835119
Birth234123411.18 (0.52)1.20 (0.26)-0.02-0.53 to 0.49
0–9 years509642642.05 (0.98)2.00 (0.81)0.05-0.51 to 0.60
9–18 years588732942.55 (0.64)2.59 (0.52)-0.04-0.58 to 0.51

HDL-c, high density lipoprotein cholesterol

Table 12

Model details for HDL-c trajectories by sex


No of contributing individuals
Assessment of model fit
Total number of observationsNumber of individuals with 1 measureMean observed (SD), mmol/lMean predicted (SD), mmol/lMean difference (observed – predicted), mmol/l95% level of agreement between observed and predicted, mmol/l
Females
Overall10,9394988
Birth232023200.55 (0.24)0.55 (0.11)-0.00000002-0.27 to 0.27
0–7 years232123210.55 (0.25)0.55 (0.11)0.00003-0.27 to 0.27
7–18 years861839571.40 (0.31)1.40 (0.22)-0.00001-0.28 to 0.28
Males
Overall11,0195127
Birth238023800.50 (0.23)0.50 (0.12)-0.000001-0.23 to 0.23
0–7 years238123810.50 (0.23)0.50 (0.12)0.00005-0.23 to 0.23
7–18 years863840141.38 (0.32)1.38 (0.26)-0.00001-0.25 to 0.25

HDL-c, high density lipoprotein cholesterol

Table 13

Characteristics at birth of the mothers of children included in models of insulin (risk factor with least individuals and number of repeated measures)


Participants included n= 662a
Participants excluded n=19,388b
Pvalue for comparisonc
n (%)n (%)
Sex of child
Male331(50.0)9746(51.8)0.355
Female331(50.0)9059(48.2)
Maternal marital status
Never married74(11.4)2525(19.6)<0.001
Widowed<0.8d(<5d)18(0.1)
Divorced19(2.9)560(4.3)
Separated9(1.4)210(1.6)
1st Marriage512(78.6)8752(67.8)
Marriage 2 or 337(5.7)848(6.6)
Household social class
Professional115(18.6)1426(13.0)<0.001
Managerial & Technical287(46.5)4552(41.5)
Non-Manual141(22.9)2807(25.6)
Manual51(8.3)1513(13.8)
Part Skilled & Unskilled23(3.7)670(6.1)
Maternal education
Less than O level101(15.5)3655(30.8)<0.001
O level224(34.4)4105(34.6)
A level199(30.6)2605(22.0)
Degree or above127(19.5)1483(12.5)
Partners highest educational qualification
Less than O level138(21.7)4016(35.3)<0.001
O level140(22.0)2416(21.2)
A level193(30.3)2930(25.7)
Degree or Above166(26.1)2018(17.7)
Maternal smoking during pregnancy
Yes557(85.3)9440(74.3)<0.001
No96(14.7)3271(25.7)
Mean (SD)Mean (SD)Pvalue
Child gestational age at birth40(1.55)38(5.62)<0.001

Denominators for included participants in this table may be less than N included in full multilevel model due to missing data for these characteristics at baseline which were not required for our model (age, sex and at least one measure of risk factor before and after age 11 years were required for inclusion). b Denominator for participants excluded may also vary due to missing data on the characteristics included in the table.

P value is for the difference in proportions for categorical variables from χ2 test or difference in means for continuous variables from t tests between included and excluded participants. d May include zero.

Table 14

Mean sex-specific trajectories of anthropometric risk factors estimated from multilevel models

Mean trajectory (95% CI) in femalesMean trajectory (95% CI) in malesMean difference in trajectory (95% CI) comparing females with malesPvalue for difference between females and males
Log BMIa
Age 1 yr (log BMI, kg/m2)2.90 (2.89,2.90)2.89 (2.89,2.90)0.59% (-0.06,1.23)b0.077
Age 3 yr (log BMI, kg/m2)2.75 (2.75,2.75)2.77 (2.77,2.77)-1.86% (-2.22, -1.49)b<0.001
Age 7 yr (log BMI, kg/m2)2.80 (2.80,2.80)2.79 (2.79,2.79)0.88% (0.46,1.31)b<0.001
Age 9 yr (log BMI, kg/m2)2.85 (2.85,2.85)2.83 (2.83,2.83)2.12% (1.61,2.65)b<0.001
Age 11 yr (log BMI, kg/m2)2.91 (2.91,2.91)2.88 (2.88,2.88)2.98% (2.38,3.58)b<0.001
Age 13 yr (log BMI, kg/m2)2.98 (2.97,2.98)2.95 (2.94,2.95)3.34% (2.69,3.98)b<0.001
Age 15 yr v kg/m2)3.06 (3.05,3.06)3.02 (3.02,3.03)3.14% (2.47,3.82)b<0.001
Age 18 yr (log BMI, kg/m2)3.14 (3.13,3.14)3.11 (3.11,3.12)2.35% (1.62,3.09b<0.001
Log height -adjusted fat mass
Age 9 yr (log fat mass, kg)2.01 (1.99,2.03)1.77 (1.74,1.79)27.3% (22.94,31.82)b<0.001
Change 9–13 yr (log fat mass, kg/yr)0.16 (0.15,0.16)0.13 (0.12,0.14)3.02%/yr (1.93,4.12)b<0.001
Change 13–15 yr (log fat mass, kg/yr)0.10 (0.09,0.11)-0.06 (-0.07, -0.05)17.85%/yr (16.56,19.16)b<0.001
Change 15–18 yr (log fat mass, kg/yr)0.06 (0.05,0.06)0.10 (0.09,0.10)-3.71%/yr (-4.44, -2.98)b<0.001
Age 18 yr (log fat mass, kg)3.01 (3.00,3.03)2.44 (2.42,2.46)77.8% (72.98,82.77)b<0.001
Height-adjusted lean mass
Age 9 yr (kg)20.78 (20.69,20.88)23.97 (23.86,24.09)-3.19 kg (-3.34, -3.04)<0.001
Change 9–13 yr (kg/yr)3.25 (3.22,3.28)2.32 (2.26,2.38)0.93 kg/yr (0.86,1.00)<0.001
Change 13–15 yr (kg/yr)1.52 (1.44,1.61)7.62 (7.53,7.70)-6.09 kg/yr (-6.21, -5.97)<0.001
Change 15–18 yr (kg/yr)0.41 (0.37,0.44)2.51 (2.44,2.59)-2.11 kg/yr (-2.19, -2.02)<0.001
Age 18 yr (kg)37.64 (37.50,37.77)56.03 (55.80,56.26)-18.39 kg (-18.66, -18.12)<0.001

BMI is modelled using fractional polynomials. For ease of interpretation, the predicted log BMI for females and males is shown at each age rather than the coefficients for the fractional polynomial terms from the model.

The difference between females and males for BMI and fat mass is back transformed from the log scale for ease of interpretation and is interpreted as the percentage difference in the mean level comparing females with males or percentage difference in change per year comparing females with males.

Table 15

Mean sex-specific trajectories of blood pressure and pulse rate estimated from multilevel models

Mean trajectory (95% CI) in femalesMean trajectory (95% CI) in malesMean difference in trajectory (95% CI) comparing females with malesPvalue for difference between females and males
SBP
Age 7 yr (mmHg)98.14 (97.84,98.43)98.00 (97.72,98.28)0.14 (-0.27,0.55)0.497
Change 7–12 yr (mmHg/yr)1.85 (1.78,1.92)1.64 (1.57,1.70)0.22 (0.12,0.32)<0.001
Change 12–16 yr (mmHg/yr)3.82 (3.70,3.94)5.78 (5.66,5.90)-1.97 (-2.13,-1.80)<0.001
Change 16–18 yr (mmHg/yr)-5.74 (-6.00,-5.49)-3.82 (-4.09,-3.54)-1.93 (-2.30,-1.56)<0.001
Age 18 yr (mmHg)111.18 (110.86,111.51)121.67 (121.27,122.07)-10.48 (-11.00,-9.97)<0.001
DBP
Age 7 yr (mmHg)57.13 (56.92,57.34)56.34 (56.13,56.54)0.79 (0.50,1.09)<0.001
Change 7–12 yr (mmHg/yr)0.09 (0.03,0.14)0.14 (0.08,0.19)-0.05 (-0.12,0.03)0.247
Change 12–16 yr (mmHg/yr)2.34 (2.24,2.44)2.81 (2.70,2.92)-0.47 (-0.62,-0.32)<0.001
Change 16–18 yr (mmHg/yr)-1.01 (-1.21,-0.80)-2.49 (-2.73,-2.25)1.49 (1.17,1.81)<0.001
Age 18 yr (mmHg)64.91 (64.67,65.16)63.26 (62.98,63.55)1.65 (1.27,2.02)<0.001











Pulse rate
Age 7 yr (bpm)85.77 (85.43,86.11)82.71 (82.38,83.04)3.06 (2.58,3.54)<0.001
Change 7–12 yr (bpm/yr)-1.77 (-1.86,-1.69)-1.89 (-1.97,-1.81)0.11 (0.00,0.23)0.053
Change 12–16 yr (bpm/yr)-0.17 (-0.30,-0.05)-0.76 (-0.89,-0.63)0.59 (0.41,0.77)<0.001
Change 16–18 yr (bpm/yr)-4.73 (-5.00,-4.46)-4.08 (-4.36,-3.79)-0.65 (-1.04,-0.27)<0.001
Age 18 yr (bpm)66.75 (66.37,67.13)62.07 (61.66,62.48)4.68 (4.12,5.24)<0.001

bpm, beats per minute; DBP, diastolic blood pressure; SBP, systolic blood pressure.

Table 16

Mean sex-specific trajectories of glucose and log insulin estimated from multilevel models

Mean trajectory (95% CI) in femalesMean trajectory (95% CI) in malesMean difference in trajectory (95% CI) comparing females with malesPvalue for difference between females and males
Glucose
Age 7 yr (mmol/l)4.11 (4.09,4.13)4.18 (4.16,4.20)-0.08 mmol/l (-0.10,-0.05)<0.001
Change 7–15 yr (mmol/l/yr)0.13 (0.13,0.14)0.15 (0.14,0.15)-0.01 mmol/l/yr (-0.02,-0.01)<0.001
Change 15–18 yr (mmol/l/yr)-0.09 (-0.10,-0.08)-0.08 (-0.09,-0.07)-0.02 mmol/l/yr (-0.03, 0.00)0.023
Age 18 yr (mmol/l)4.90 (4.88,4.92)5.12 (5.10,5.14)-0.22 mmol/l (-0.25, -0.19)<0.001
Log insulin
Birth (log insulin, mu/l)1.10 (1.01,1.18)1.02 (0.93,1.11)7.81% (-4.46,21.65)a0.223
Change 0–9 yr (log insulin, mu/l /yr)0.05 (0.04,0.06)0.04 (0.03,0.06)0.67%/yr (-1.19,2.56)a0.486
Change 9–15 yr (log insulin, mu/l /yr)0.14 (0.12,0.15)0.14 (0.12,0.15)0.11%/yr (-2.24,2.52)a0.928
Change 15–18 yr (log insulin, mu/l /yr)-0.13 (-0.16, -0.09)-0.15 (-0.18, -0.11)2.17%/yr (-2.52,7.08)a0.371
Age 18 yr (log insulin, mu/l)1.97 (1.91,2.05)1.77 (1.69,1.84)22.85% (10.76,36.35)a0.000

The difference between females and males is back transformed from the log scale for ease of interpretation and is interpreted as the percentage difference in the mean level comparing females with males or percentage difference in change per year comparing females with males.

Table 17

Mean sex-specific trajectories of log triglyceride and cholesterol estimated from multilevel models

Mean trajectory (95% CI) in femalesMean trajectory (95% CI) in malesMean difference in trajectory (95% CI) comparing females with malesPvalue for difference between females and males
Log triglyceride
Birth (log triglyceride, mmol/l)-0.69 (-0.70,-0.67)-0.68 (-0.70,-0.66)-0.70% (-3.17,1.84)a0.586
Change 0–9 yr (log triglyceride, mmol/l/yr)0.09 (0.08,0.09)0.08 (0.08,0.08)0.90%/yr (0.53,1.28)a<0.001
Change 9–18 yr (log triglyceride, mmol/l/yr)-0.04 (-0.05,-0.04)-0.04 (-0.04,-0.04)-0.41%/yr (-0.72,-0.09)a0.012
Age 18 yr (log triglyceride, mmol/l)-0.29 (-0.31,-0.28)-0.33 (-0.35,-0.31)3.80% (1.59,6.06)a0.001
HDL-c
Birth (mmol/l)0.55 (0.54,0.56)0.50 (0.49,0.51)0.05 mmol/l (0.03,0.06)<0.001
Change 0–7 yr (mmol/l/yr)0.13 (0.13,0.13)0.15 (0.15,0.15)-0.02 mmol/l/yr (-0.02,-0.02)<0.001
Change 7–18 yr (mmol/l/yr)-0.01 (-0.01,-0.01)-0.04 (-0.04,-0.03)0.02 mmol/l/yr (0.02,0.02)<0.001
Age 18 yr (mmol/l)1.32 (1.31,1.33)1.15 (1.14,1.16)0.17 mmol/l (0.15,0.18)<0.001
Non-HDL-c
Birth (mmol/l)1.28 (1.26,1.30)1.22 (1.19,1.24)0.07 mmol/l (0.04,0.10)<0.001
Change 0–9 yr (mmol/l/yr)0.21 (0.21,0.21)0.19 (0.19,0.20)0.02 mmol/l/yr (0.01,0.02)<0.001
Change 9–18 yr (mmol/l/yr)-0.07 (-0.08,-0.07)-0.07 (-0.08,-0.07)0.00 mmol/l/yr (-0.01,0.00)0.265
Age 18 yr (mmol/l)2.49 (2.46,2.52)2.30 (2.27,2.32)0.19 mmol/l (0.16,0.23)<0.001

HDL-c, high density lipoprotein cholesterol

The difference between females and males is back transformed from the log scale for ease of interpretation and is interpreted as the percentage difference in the mean level comparing females with males or percentage difference in change per year comparing females with males.

Tablee 18

Sex differences in risk factors at first and last available measure from linear regressions compared to differences predicted from multilevel models

N participants in regression of risk factor on sex at each ageDifference in females compared with males from regression (95% CI)Difference in females compared with males from multilevel model (95% CI)
Log BMI (kg/m2)a
Age 11060-1.64(-2.60,-0.68)0.59 (-0.05,1.24)
Age 189952.31(0.03,4.59)2.35 (1.62,3.09)
Log fat mass (kg)a
Age 9724139.53(35.98,43.08)27.30 (22.94,31.82)
Age 18480475.42(70.21,80.63)77.80 (72.98,82.77)
Lean mass (kg)
Age 97261-1.85(-1.99,-1.71)-3.19 (-3.34,-3.04)
Age 184819-17.14(-17.44,-16.84)-18.39 (-18.66,-18.12)
SBP (mmHg)
Age 780570.23(-0.17,0.63)0.14 (-0.27,0.55)
Age 184629-10.17(-10.66,-9.68)-10.48 (-11.00,-9.97)
DBP (mmHg)
Age 780570.77(0.48,1.06)0.79 (0.50,1.09)
Age 1846291.55(1.22,1.88)1.65 (1.27,2.02)
Pulse rate (bpm)
Age 780572.61(2.14,3.07)3.06 (2.58,3.54)
Age 1846294.53(3.99,5.07)4.68 (4.12,5.24)
Glucose (mmol/l)
Age 75480-0.08(-0.11,-0.05)-0.08 (-0.10,-0.05)
Age 183266-0.23(-0.26,-0.21)-0.22 (-0.25,-0.19)
Log insulin (mu/l)a
Birth2627.80(-5.37,20.97)7.81 (-4.46,21.65)
Age 1849821.06(9.94,32.18)22.85 (10.76,36.25)
Log triglyceride (mmol/l)a
Birth4770-1.00(-3.53,1.53)-0.70 (-3.17,1.84)
Age 1832542.11(-0.41,4.63)3.80 (1.59,6.06)
HDL-c (mmol/l)
Birth47000.05(0.03,0.06)0.05 (0.03,0.06)
Age 1832770.16(0.14,0.18)0.17 (0.15,0.18)
Non-HDL-c (mmol/l)
Birth46200.07(0.04,0.10)0.07 (0.04,0.10)
Age 1832750.20(0.16,0.25)0.19 (0.16,0.23)

bpm, beats per minute; DBP, diastolic blood pressure; HDL-c, high density lipoprotein; SBP, systolic blood pressure.

Risk factor is log transformed. The difference between females and males for the risk factor is back transformed from the log scale for ease of interpretation and is interpreted as the percentage difference in the mean level comparing females with males at the age shown.

Fig. 1

Mean predicted sex-specific trajectories of BMI (1 to 18 years), height-adjusted fat mass and height-adjusted lean mass (9 to 18 years) among participants with at least one measure before and after 11 years.

Fig. 2

Mean predicted sex-specific trajectories of SBP, DBP and pulse from 7 to 18 years among participants with at least one measure before and after 11 years.

Fig. 3

Mean predicted sex-specific trajectories of glucose from 7 to 18 years among participants with at least one measure before and after 11 years.

Fig. 4

Mean predicted sex-specific trajectories of triglyceride, HDL-c and non-HDL-c from birth to 18 years among participants with at least one measure before and after 11 years.

Fig. 5

Mean predicted sex-specific trajectory of BMI from 1 to 18 years among participants with 6 or more measures.

Fig. 6

Mean predicted sex-specific trajectories of glucose (7 - 18 years) and insulin (birth - 18 years) excluding participants who reported eating before either the 15- or 18-year clinic.

Fig. 7

Mean predicted sex-specific trajectories of triglyceride, HDL-c and non-HDL-c from birth to 18 years excluding participants who reported eating before either the 15- or 18-year clinic.

Table 19

Sex differences in glucose from main ALSPAC clinic compared with sex difference in glucose from NMR spectroscopy at 15- and 18-year clinic with females as reference group.

N participants in regression of risk factor on sex at each ageDifference in females compared with males from main clinic (95% CI)Difference in females compared with males from NMR spectroscopy (95% CI)
Age 153464-0.16 (-0.19, -0.14)-0.14 (-0.16, -0.11)
Age 183266-0.23 (-0.26, -0.21)-0.17 (-0.20, -0.15)

NMR, Nuclear Magnetic Resonance.

Age and sex-specific powers of height included in multilevel models of fat mass and lean mass Model details for log BMI trajectories by sex Model details for log fat mass trajectories by sex Model details for lean mass trajectories by sex Model details for SBP trajectories by sex SBP; systolic blood pressure. Model details for DBP trajectories by sex DBP; diastolic blood pressure. Model details for pulse rate trajectories by sex bpm, beats per minute. Model details for glucose trajectories by sex Model details for log insulin trajectories by sex Model details for log triglyceride trajectories by sex Model details for non-HDL-c trajectories by sex HDL-c, high density lipoprotein cholesterol Model details for HDL-c trajectories by sex HDL-c, high density lipoprotein cholesterol Characteristics at birth of the mothers of children included in models of insulin (risk factor with least individuals and number of repeated measures) Denominators for included participants in this table may be less than N included in full multilevel model due to missing data for these characteristics at baseline which were not required for our model (age, sex and at least one measure of risk factor before and after age 11 years were required for inclusion). b Denominator for participants excluded may also vary due to missing data on the characteristics included in the table. P value is for the difference in proportions for categorical variables from χ2 test or difference in means for continuous variables from t tests between included and excluded participants. d May include zero. Mean sex-specific trajectories of anthropometric risk factors estimated from multilevel models BMI is modelled using fractional polynomials. For ease of interpretation, the predicted log BMI for females and males is shown at each age rather than the coefficients for the fractional polynomial terms from the model. The difference between females and males for BMI and fat mass is back transformed from the log scale for ease of interpretation and is interpreted as the percentage difference in the mean level comparing females with males or percentage difference in change per year comparing females with males. Mean sex-specific trajectories of blood pressure and pulse rate estimated from multilevel models bpm, beats per minute; DBP, diastolic blood pressure; SBP, systolic blood pressure. Mean sex-specific trajectories of glucose and log insulin estimated from multilevel models The difference between females and males is back transformed from the log scale for ease of interpretation and is interpreted as the percentage difference in the mean level comparing females with males or percentage difference in change per year comparing females with males. Mean sex-specific trajectories of log triglyceride and cholesterol estimated from multilevel models HDL-c, high density lipoprotein cholesterol The difference between females and males is back transformed from the log scale for ease of interpretation and is interpreted as the percentage difference in the mean level comparing females with males or percentage difference in change per year comparing females with males. Sex differences in risk factors at first and last available measure from linear regressions compared to differences predicted from multilevel models bpm, beats per minute; DBP, diastolic blood pressure; HDL-c, high density lipoprotein; SBP, systolic blood pressure. Risk factor is log transformed. The difference between females and males for the risk factor is back transformed from the log scale for ease of interpretation and is interpreted as the percentage difference in the mean level comparing females with males at the age shown. Mean predicted sex-specific trajectories of BMI (1 to 18 years), height-adjusted fat mass and height-adjusted lean mass (9 to 18 years) among participants with at least one measure before and after 11 years. Mean predicted sex-specific trajectories of SBP, DBP and pulse from 7 to 18 years among participants with at least one measure before and after 11 years. Mean predicted sex-specific trajectories of glucose from 7 to 18 years among participants with at least one measure before and after 11 years. Mean predicted sex-specific trajectories of triglyceride, HDL-c and non-HDL-c from birth to 18 years among participants with at least one measure before and after 11 years. Mean predicted sex-specific trajectory of BMI from 1 to 18 years among participants with 6 or more measures. Mean predicted sex-specific trajectories of glucose (7 - 18 years) and insulin (birth - 18 years) excluding participants who reported eating before either the 15- or 18-year clinic. Mean predicted sex-specific trajectories of triglyceride, HDL-c and non-HDL-c from birth to 18 years excluding participants who reported eating before either the 15- or 18-year clinic. Sex differences in glucose from main ALSPAC clinic compared with sex difference in glucose from NMR spectroscopy at 15- and 18-year clinic with females as reference group. NMR, Nuclear Magnetic Resonance.
Subject areaEpidemiology.
More specific subject areaLife course epidemiology.
Type of dataTables and figures of analyzed data.
How data was acquiredCord blood at birth, clinic assessments, routine health records, questionnaires and nuclear magnetic resonance (NMR) spectroscopy.
Data formatAnalyzed
Experimental factorsMeasures of cardiovascular health from birth or mid-childhood to 18 years in a UK prospective birth cohort study.
Experimental featuresParticipants were recruited at birth and followed up repeatedly over a period of 18 years.
Data source locationBristol, UK.
Data accessibilityData are with this article.
Related research articleO׳Keeffe LM et al. Sex-specific trajectories of measures of cardiovascular health during childhood and adolescence: a prospective cohort study. Atherosclerosis. 2018; 278 (2018): 190–196.
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