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Erschienen in: BMC Pediatrics 1/2023

Open Access 01.12.2023 | Research

Cardiovascular fitness is associated with child adiposity at 5 years of age: findings from the ROLO longitudinal birth cohort study

verfasst von: Aisling A. Geraghty, Eileen C. O’Brien, Sophie Callanan, John Mehegan, Fionnuala M. McAuliffe

Erschienen in: BMC Pediatrics | Ausgabe 1/2023

Abstract

Background

Cardiovascular fitness is strongly linked with metabolic risk; however, research is limited in preschool children. Although there is currently no simple validated measure of fitness in preschool children, heart rate recovery has been highlighted as an easily accessible and non-invasive predictor of cardiovascular risk in school-aged children and adolescents. We aimed to investigate whether heart rate recovery was associated with adiposity and blood pressure in 5-year-olds.

Study design

This is a secondary analysis of 272 5-year-olds from the ROLO (Randomised cOntrol trial of LOw glycaemic index diet in pregnancy to prevent recurrence of macrosomia) Kids study. Three-minute step tests were completed by 272 participants to determine heart rate recovery duration. Body mass index (BMI), circumferences, skinfold thickness, heart rate, and blood pressure were collected. Independent t-tests, Mann-Whitney U, and Chi-square tests were used to compare participants. Linear regression models examined associations between heart rate recovery and child adiposity. Confounders included child sex, age at study visit, breastfeeding, and perceived effort in the step test.

Results

The median (IQR) age at the study visit was 5.13 (0.16) years. 16.2% (n = 44) had overweight and 4.4% (n = 12) had obesity based on their BMI centile. Boys had a quicker mean (SD) heart rate recovery after the step test than girls (112.5 (47.7) seconds vs. 128.8 (62.5) seconds, p = 0.02). Participants with a slower recovery time (> 105 s) had higher median (IQR) sum of skinfolds (35.5 (11.8) mm vs. 34.0 (10.0) mm, p = 0.02) and median (IQR) sum of subscapular and triceps skinfold (15.6 (4.4) mm vs. 14.4 (4.0) mm, p = 0.02) compared to participants with a quicker recovery time. After adjusting for confounders (child sex, age at study visit, breastfeeding, effort in the step test), linear regression analyses revealed heart rate recovery time after stepping was positively associated with sum of skinfolds (B = 0.034, 95% CI: 0.01, 0.06, p = 0.007).

Conclusion

Child adiposity was positively associated with heart rate recovery time after the step test. A simple stepping test could be used as a non-invasive and inexpensive fitness tool in 5-year-olds. Additional research is needed to validate the ROLO Kids step test in preschool children.
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Introduction

In 2020, approximately 38.2 million children under 5 years of age had overweight or obesity worldwide [1]. Although the global prevalence of overweight or obesity is lower in children than in adults, the rate of increase in children is higher [2]. The lifetime costs of childhood obesity in Ireland were recently estimated to be €4.6 billion, representing a massive economic burden [3]. With one in five Irish children currently having overweight or obesity, the risk of raised blood pressure, dyslipidaemia, and insulin resistance increases from an early age [4, 5].
Cardiovascular fitness is one indicator that is closely related to metabolic health and adiposity in adults and school-aged children [6]. Children’s cardiovascular fitness has sharply declined over previous decades worldwide; however, recent statistics suggest that the rate of decline has plateaued [79]. In 2020, the American Heart Association recognised cardiovascular fitness as a key health predictor that should be routinely monitored in clinical practice for all school-aged youth [10]. Evidence suggests that the development of cardiovascular fitness levels begins from a young age and tracks into adulthood to predict future health profiles [11].
Strong links have been identified in school-aged children and youth between higher fitness and lower adiposity and reduced cardiometabolic risk [12]. Additional research has highlighted the inverse relationship between physical fitness in children and cardiometabolic risk factors [13]. Less is known about the relationship between cardiovascular fitness and health indicators in preschool ages. Despite this, it is reasonable to consider cardiovascular fitness is also an important marker of health in early childhood based on evidence in older populations. Thus, additional investigation of cardiovascular fitness in preschool years is necessary to increase our understanding of its role in early life.
At present, there are no validated, submaximal field tests to identify preschool children with low cardiovascular fitness levels who would benefit from early intervention. Heart rate recovery time duration has been highlighted as an accurate indicator of cardiovascular fitness level in children and adolescents [14]. It is the difference between the peak heart rate during exercise and the heart rate at a specific time interval following the onset of recovery [15]. Heart rate recovery time duration is an easily accessible proxy for evaluating cardiovascular fitness that is suitable for preschool children due to its non-invasive nature [14].
Delayed heart rate recovery is associated with cardiovascular disease and all-cause mortality in adults [15]. Therefore, it is of clinical interest to determine whether this relationship is consistent in younger populations. Several studies in children and adolescents have reported inverse associations between heart rate recovery and obesity traits and metabolic risk factors [1618]. Investigations exploring the link between heart rate recovery and health markers in preschool children are limited and more research in this area is warranted.
We aimed to address the paucity of information regarding the influence of cardiovascular fitness on adiposity and blood pressure in 5-year-olds by investigating these factors in Irish children from the ROLO (Randomised cOntrol trial of LOw glycaemic index diet in pregnancy to prevent recurrence of macrosomia) Kids cohort. The case for this investigation is important, given the children of the ROLO study are considered at higher risk for excess adiposity given the mothers of the participants had a prior history of a macrosomic pregnancy [19]. Simple three-minute stepping tests have been highlighted as innovative methods of estimating heart rate recovery in youth [14, 20, 21]. We developed a modified, simple “ROLO Kids step test” as a suitable method of estimating heart rate recovery in 5-year-old children. We hypothesised that a slower heart rate recovery would be related to higher child adiposity and blood pressure at 5-years of age.

Methods

Study design and population

This is a secondary analysis of 272 children from the ROLO Kids Study, a longitudinal follow-up of children born into the randomised control trial, ROLO study in Dublin, Ireland [19]. Healthy mothers with a history of previous macrosomic delivery (birthweight > 4Kg) were initially recruited into the ROLO study during their second pregnancy in the National Maternity Hospital, Dublin, between 2007 and 2011. Women were randomly assigned into the intervention or control arm; the intervention group received low glycaemic index dietary advice from early pregnancy and the control group received routine antenatal care [19]. No differences in birthweight were noted from the intervention, but several maternal benefits were observed including less gestational weight gain, improved insulin resistance, and better dietary intakes [19, 22]. The ROLO study has become a longitudinal birth cohort with follow-ups at multiple timepoints in childhood [2225]. Informed written maternal consent was obtained at each follow up visit and verbal assent was obtained from the child participants. The Current Controlled Trials registration number for the ROLO study was ISRCTN54392969, first registered on 10/08/2009 [26].

ROLO kids study visit

Eligibility to be included in this analysis required participation in the ROLO pregnancy study and attendance at a ROLO Kids study visit at 5-years of age. Once the child became eligible, the research team contacted the mother of the study child and invited them to attend a study visit with the research team. At the study visit, the mother of the study child provided informed, written consent and verbal assent was obtained from their child. Of 403 children who returned at 5-years of age, only children who completed a step test were included in this analysis. Data available for each parameter in this analysis varied depending on the co-operation of the child and data collection procedures at the time of the study visit. Mothers completed demographic, health, and lifestyle questionnaires.

Exposure

ROLO kids step test

The ROLO Kids step test was based on the protocol published by Jankowski et al. which used the 3-minute Kasch Pulse Recovery test (KPR test) [21]. The KPR test used a metronome among children aged 6–12 years. Based on experience of conducting research with 5-year-old children, the researchers agreed the KPR test had to be modified to suit a preschool age cohort. The ROLO Kids step test was modified to omit stepping to the beat of a metronome, as it was not considered feasible to use among preschool children. Using a 25 cm (9.8 inches) step, the children were instructed to step up and down, one foot at a time, as many times as possible for 3 min. Before stepping commenced, a pedometer was attached to the child’s clothing at the hip level to record number of steps. Children were instructed to step as quickly as possible in a consistent manner over 3 min and gamification strategies were employed with the researcher stepping simultaneously with the child. Children were encouraged to maintain the same, self-directed stepping pace throughout. The researchers assessed the overall perceived effort of the child according to a 7-point scale shown in Table 1. Two researchers who witnessed the step test independently assessed the perceived effort of the child to reduce potential bias and averages of both scores were used. Perceived effort was categorised into “good effort” (rating 1–4) or “poor effort” (rating 5–7). All children who completed the step test were analysed, regardless of perceived effort rating.
Table 1
Perceived effort 7-point scale for ROLO Kids Step Test
E
EXCELLENT
1
VG
VERY GOOD
2
G
GOOD
3
FG
FAIR TO GOOD
4
F
FAIR
5
PF
POOR TO FAIR
6
P
POOR
7

Outcomes

Cardiovascular fitness

Heart rate recovery time duration was used to provide an indicator of cardiovascular fitness level in the child based on previous research [14]. The child was seated at rest for at least 5 min and baseline heartrate was measured using a finger pulse oximeter (CMS-50QA Pediatric Finger Pulse Oximeter). Immediately after finishing 3 min of stepping, the child was asked to sit down and their heart rate was measured. Measurements were repeated every 30 s until heart rate returned to baseline and recovery time duration was noted.

Anthropometry

A trained research nutritionist/dietitian obtained the child anthropometric measurements at the study visit. Weight was recorded (in light clothing) to the nearest 0.1 kg using a SECA (SECA gmbh & co. Kg. Germany) scales and height was measured using a wall mounted stadiometer to the nearest 0.1 centimetre. Body mass index (BMI) was then calculated (kg/m2). Weight and BMI values were converted to standardised scores (BMI-SDS) and centiles relative to 1990 UK reference data using the Excel LMS Growth macro [27, 28]. BMI centiles were categorised as having a normal weight (between >-2 and < 1 SD), having overweight, (> 1 SD) or having obesity (> 2 SD) according to World Health Organization cut-off points [29]. Abdominal circumference was measured to the nearest 0.1 centimetre using a SECA (SECA gmbh & co. Kg. Germany) measuring tape. Skinfold thicknesses (bicep, triceps, subscapular, and thigh) were measured to the nearest 0.1 mm using a Holtain Tanner/Whitehouse caliper (Holtain Ltd, Crymych, UK). Waist-to-height ratio, sum of skinfolds, sum of subscapular and triceps skinfold, and subscapular-to-triceps skinfold ratio were calculated as proxy measures of adiposity. Previous research suggests that using multiple skinfold sites (and combining measures) are superior to the measurement of one site in accurately assessing adiposity in children [30].

Cardiovascular health

Cardiovascular health was defined as the assessment of systolic blood pressure, diastolic blood pressure, and heart rate at rest. These measures were chosen to provide a non-invasive insight into cardiovascular health that are simple and quick to obtain. A trained researcher measured heart rate, systolic blood pressure, and diastolic blood pressure at rest using the validated electronic sphygmomanometer Omron blood pressure monitor (Omron M6 Comfort oscillometric device HEM-7321-E, Omrom Healthcare, Kyoto, Japan). Participants were seated with limbs uncrossed with feet firmly on the ground and the arm supported at the heart level on a nearby even surface. Blood pressure and heart rate measures were obtained after at least 5 min of rest in the sitting position. Children were asked to remain still by the researcher for the duration of the assessment for an accurate reading. Systolic and diastolic blood pressure centiles were calculated using the LMS method for each participant according to age-, sex- and height-specific reference data published by Flynn et al. [31].

Statistical analyses

Statistical analyses were performed using the IBM Statistical Package for the Social Sciences version 24.0 (SPSS Inc, Chicago, IL, USA). All variables were assessed for normality by visual inspection of histograms. Relationships between the central tendencies were examined using student T-tests, for normally-distributed data, or Mann Whitney-U tests for non-normal data. Heart rate recovery data was stratified according to the median (“Slow Heart Rate Recovery” >105 s and “Quick Heart Rate Recovery” <105 s). Differences between groups were explored using student T-tests, Mann Whitney-U tests or Chi-square tests as appropriate. Pearson correlation was used for normally distributed data, with Spearman’s correlation for non-normally distributed data to measure the correlation between heart rate recovery after the step test with adiposity and cardiovascular measures. Significant correlations were used to create multiple regression models using a forced entry approach to control for confounders which were selected a priori (effort in the step test, child sex, age at study visit, and exposure to breastfeeding). Perceived effort and age at appointment were controlled for to account for differences within the sample population. Models were adjusted for breastfeeding exposure and child sex because previous literature suggests they may influence child adiposity in preschool ages [32, 33]. Statistical significance for all analyses was defined as p < 0.05.

Results

Cohort characteristics from the ROLO kids study

Cohort characteristics are displayed in Table 2. This analysis included 272 children who participated in the ROLO Kids study visit, 45.5% of which were male (n = 124). At the study visit, the median (IQR) age of participants was 5.13 (0.16) years and boys were slightly younger at the study visit than girls (5.11 (0.16) years vs. 5.14 (0.17), p = 0.045). The median (IQR) BMI was 16.0 (1.7) kg/m2. According to their BMI centile classification, 16.2% (n = 44) of children had overweight and 4.4% (n = 12) of children had obesity. Significant mean differences (SED) were found for birthweight (0.16 (0.05) kg, p = 0.003), height (1.22 (0.52) cm, p = 0.02) and chest circumference (0.79 (0.32) cm, p = 0.015) between boys and girls. Compared to girls, boys had significantly lower median (IQR) waist-to-height ratio (0.48 (0.04) vs. 0.49 (0.01), p = 0.026), sum of skinfolds (33.4 (10.9) mm vs. 36.85 (11.0) mm, p < 0.001) and sum of subscapular and triceps skinfold (14.2 (4.2) mm vs. 16.2 (4.3) mm, p < 0.001), indicating lower adiposity. There were no other significant differences in measures of anthropometry or cardiovascular health between boys and girls.
Table 2
Characteristics of the 5-year-old children in the ROLO cohort
  
Total
Boys
Girls
 
 
n
Mean/Median
SD/
IQR
n
Mean/Median
SD/
IQR
n
Mean/Median
SD/
IQR
P
RCT group (Intervention), n (%)+
272
142 (52.2)
124
64 (51.6)
148
78 (52.7)
0.858
Birthweight (kg)
272
4.03
0.45
124
4.12
0.68
148
3.95
0.4
0.003
Birthweight centile*
248
79.8
37.4
113
80.5
35.8
135
77.1
38.2
0.3
Smoked during pregnancy, n (%)+
272
7 (2.6)
124
2 (1.6)
148
5 (3.4)
0.36
Breastfed, n (%)+
242
163 (59.9)
111
71 (57.3)
131
91 (62.2)
0.3
Anthropometry
Age at follow up (years)*
272
5.13
0.16
124
5.11
0.16
148
5.14
0.17
0.045
Weight (kg)*
272
19.8
3.2
124
19.95
2.9
148
19.6
3.4
0.18
Weight centile*
272
65.5
41.0
124
65.0
39.0
148
65.5
42.0
0.48
Height (cm)
272
111.52
4.39
124
112.18
4.0
148
110.96
4.63
0.02
Height centile*
272
60.5
47.0
124
62.50
39.0
148
58.5
57.0
0.27
BMI (kg/m2)*
272
16.04
1.68
124
16.09
1.18
148
16.16
1.34
0.65
BMI centile*
272
65.5
42.0
124
63.5
44.0
148
66.0
40.0
0.73
Overweight, n (%)a+
272
44 (16.2)
124
21 (16.9)
148
23 (15.5)
0.612
Obesity, n (%)a+
272
12 (4.4)
124
7 (5.6)
148
5 (3.4)
-
Chest circumference (cm)
271
56.33
2.7
124
56.76
2.51
147
55.96
2.81
0.015
Abdominal circumference (cm)*
272
54.6
5.1
124
54.35
4.5
148
54.75
5.6
0.34
Waist-to-height ratio*
272
0.48
0.04
124
0.48
0.04
148
0.49
0.05
0.026
Sum of skinfolds (mm)*
251
35.4
11.6
117
33.4
10.95
134
36.85
11.05
< 0.001
Subscap&triceps skinfold (mm)*
256
15.2
4.35
119
14.2
4.2
137
16.2
4.3
< 0.001
Subscapular-to-triceps ratio*
256
0.6
0.15
119
0.6
0.12
137
0.6
0.17
0.98
Cardiovascular Health
Heart rate (bpm)
261
92.27
11.78
119
91.87
10.94
142
92.61
12.47
0.61
Systolic blood pressure (mmHg)
247
99.16
9.41
116
100.05
9.05
131
98.37
9.69
0.16
Systolic blood pressure centile*
247
73.0
38.0
116
74.0
40.0
131
72.0
36.0
0.32
Diastolic blood pressure (mmHg)*
247
60.0
10.0
116
59.0
10.0
131
61.0
11.0
0.32
Diastolic blood pressure centile*
247
73.0
35.0
116
71.0
36.0
131
74.0
34.0
0.84
Normally distributed data is reported as mean (standard deviation) unless otherwise stated. *Non-normal data is reported as median (interquartile range). +Categorical data is reported as n (%). ROLO: Randomised cOntrol trial of Low glycaemic index diet in pregnancy to prevent recurrence of macrosomia, RCT: Randomised Controlled Trial, BMI: Body Mass Index. Statistical comparisons by student T-test, Mann-Whitney U or Chi-square tests. aBMI centiles categorised according to World Health Organisation cut-offs for children aged 5 to 19-years. Significant at P < 0.05

Results of the ROLO kids step test

The results of the ROLO Kids step test are shown in Table 3. A total of 272 children completed the ROLO Kids step test. Data available across some parameters vary in cases where researchers were unable to collect finishing heart rate, heart rate increase, or heart rate recovery due to a lack of co-operation from participants. In addition, perceived effort and the number of steps taken were added as parameters of interest at a later time-point during the data collection period and so was not collected for all participants. Total numbers available for each parameter are reported in Table 3. The average (SD) number of steps taken by participants in the step test was 275 (49.9). 91.9% (n = 180) had a “good” perceived effort rating in the test. Heart rate increased by an average (SD) 41.9 (22.4) bpm during the step test. When stratified by sex, there was a significant mean difference (SED) in heart rate recovery after the step test (-16.3 (7.0) seconds, p = 0.02) between boys and girls. Boys and girls had a similar starting heart rate (mean difference − 0.85, SED 1.6 bpm), end point heart rate (mean difference − 4.6, SED 2.9 bpm), and heart rate increase (mean difference − 4.0, SED 2.8 bpm). The number of steps taken by boys and girls were similar (mean difference 3.53, SED 7.95 steps). The number of children who received a perceived effort rating of “good” was similar between boys and girls (91.5% vs. 92.2%).
Table 3
ROLO Kids Step Test Results of the 5-year-old children in the ROLO cohort
  
Total
Boys
Girls
 
 
n
Mean (SD)
n
Mean (SD)
n
Mean (SD)
P
Starting heart rate
272
97.18
13.07
124
96.72
12.09
148
97.57
13.86
0.59
Finishing heart rate
263
139.35
23.12
120
136.85
22.25
143
141.44
23.7
0.11
Heart rate increase
263
41.86
22.43
120
39.82
21.63
143
43.57
23.02
0.18
Heart rate recovery (seconds)
247
121.18
56.56
115
112.47
47.67
132
128.77
62.49
0.02
Perceived effort (“good”), n (%)+
196
180 (91.8)
94
86 (91.5)
102
94 (92.2)
0.87
Steps taken
163
275.6
49.94
68
277.66
44.44
95
274.13
53.72
0.66
Normally distributed data is reported as mean (standard deviation) unless otherwise stated. +Categorical data is reported as n (%). ROLO: Randomised cOntrol trial of Low glycaemic index diet in pregnancy to prevent recurrence of macrosomia. Statistical comparisons by student T-test or Chi-square tests. *Significant at P < 0.05

Differences in child anthropometry and cardiovascular health based on heart rate recovery time after the ROLO kids step test

Heart rate recovery data was stratified according to the median (“Slow Heart Rate Recovery” >105 s and “Quick Heart Rate Recovery” <105 s). In Table 4, analysis using Chi-square Bonferroni post hoc test revealed more participants with a slower recovery time (> 105 s) were classified as having perceived effort rating of “good” (96.1% vs. 88%, p = 0.04), compared to participants with a quicker recovery time. Participants with a slower recovery time (> 105 s) higher median (IQR) sum of skinfolds (35.5 (11.8) mm vs. 34.0 (10.0) mm, p = 0.02) and median (IQR) sum of subscapular and triceps skinfold (15.6 (4.4) mm vs. 14.4 (4.0) mm, p = 0.02) compared to participants with a quicker recovery time. There were no significant differences between the slower and quicker heart rate recovery groups in other measures of anthropometry or cardiovascular health.
Table 4
Comparison between participants with slow and quick levels of heart rate recovery time
 
Slow Heart Rate Recovery
(> 105 s)
Quick Heart Rate Recovery
(< 105 s)
 
 
n
Mean/
Median
SD/IQR
n
Mean/
Median
SD/IQR
P
ROLO Kids Step Test
Steps taken
83
277.0
51.0
68
288.5
62.0
0.32
Perceived effort (“good”), n (%)+
102
98 (96.1)
75
66 (88.0)
0.04
Anthropometry
       
Weight (kg)
142
20.01
2.38
105
20.02
2.38
0.97
Weight centile*
141
66.00
38.00
105
64.00
45.00
0.82
Height (cm)
142
111.19
4.16
105
111.55
4.39
0.51
Height centile*
141
57.00
46.00
105
63.00
49.00
0.58
BMI (kg/m2)
142
16.15
1.29
105
16.05
1.22
0.57
BMI centile*
141
68.00
41.00
105
61.00
39.50
0.40
Overweight, n (%)a+
141
24 (16.9)
105
14 (13.3)
0.725
Obesity, n (%)a+
141
6 (4.2)
105
4 (3.8)
-
Chest circumference (cm)
141
56.21
2.62
105
56.14
2.61
0.82
Abdominal circumference (cm)
141
54.81
3.61
105
54.74
3.84
0.89
Waist-to-height ratio
141
0.49
0.03
105
0.49
0.03
0.94
Sum of skinfolds (mm)*
130
35.5
11.75
97
34.0
10.0
0.02
Subscap&triceps Sf (mm)*
131
15.60
4.40
101
14.40
4.00
0.02
Subscapular-to-triceps ratio*
131
0.60
0.13
101
0.60
0.20
0.78
Cardiovascular Health
Heart rate (bpm)*
132
94.0
14.0
104
92.0
15.0
0.23
Systolic blood pressure (mmHg)
121
99.89
9.1
101
98.72
8.73
0.33
Systolic blood pressure centile*
121
74.0
37.0
101
73.0
35.0
0.24
Diastolic blood pressure (mmHg)
121
60.54
7.93
101
60.9
8.11
0.73
Diastolic blood pressure centile*
121
74.0
33.0
101
74.0
32.0
0.73
Normally distributed data is reported as mean (standard deviation) unless otherwise stated. *Non-normal data is reported as median (interquartile range). +Categorical data is reported as n (%). ROLO: Randomised cOntrol trial of Low glycaemic index diet in pregnancy to prevent recurrence of macrosomia. Statistical comparisons by student T-test, Mann-Whitney U, or Chi-square tests. aBMI centiles categorised according to World Health Organisation cut-offs for children aged 5 to 19-years. Significant at P < 0.05.

Associations between heart rate recovery time after the ROLO kids step test and child adiposity

Pearson correlation tests were used to assess unadjusted associations between heart rate recovery with anthropometry, blood pressure, and heart rate at rest. Heart rate recovery after completing the step test was positively correlated with sum of skinfolds (r = 0.164, p = 0.01) and sum of subscapular and triceps skinfold (r = 0.138, p = 0.04), both of which are indicators of adiposity [30]. There were no significant correlations between heart rate recovery and blood pressure or heart rate at rest. Significant correlations were further investigated using linear regression models that were controlled for child sex, age at study visit, breastfeeding exposure, and perceived effort in the step test. Adjusted regression analyses revealed heart rate recovery remained significantly associated with the sum of skinfolds (B = 0.034, 95% CI 0.01, 0.06, p = 0.007). Each 1-SD (1 cm) increment in sum of skinfold thickness corresponded to 3.4 s of an increase in heart rate recovery time. The adjusted model is shown in Table 5.
Table 5
Linear regression model for sum of skinfold measures in the ROLO Kids participants
 
B
P
CI Lower
CI Upper
r² adj
F
P
 
Child Sex
4.483
0.002*
1.63
7.33
0.134
4.59
0.001
 
Age at study visit (years)
7.848
0.14
-2.68
18.37
 
Breastfed
1.136
0.45
-1.85
4.12
 
ROLO Kids Step Test Effort (Good or Poor)
2.005
0.49
-3.76
7.77
 
Heart Rate Recovery (seconds)
0.034
0.007*
0.01
0.06
 
ROLO: Randomised cOntrol trial of Low glycaemic index diet in pregnancy to prevent recurrence of macrosomia. CI: Confidence interval, *Significant at P  < 0.05. Model adjusted for child sex, age at study visit, breastfeeding exposure, and perceived effort in the step test.

Discussion

We found that heart rate recovery after a simple stepping test was positively associated with adiposity in preschool children at 5-years of age. This study also observed significant sex differences in cardiovascular fitness, as boys had a faster heart rate recovery time after the step test than girls. No favourable associations were observed between heart rate recovery and cardiovascular health at rest.
Current research recognises the importance of examining fitness and metabolic health in adults due to the gradual manifestation of chronic disease [34]. A significant shift in focus towards earlier intervention is warranted by the rising prevalence of cardiovascular risk factors in childhood [35]. Research in children has shown that higher fitness levels have a substantially lower risk of overweight and obesity than those with lower fitness levels [34, 36]. Cardiovascular fitness has been identified as the key moderator of the association between physical activity and abdominal adiposity in school-aged children and adolescents [37]. Our novel analysis expands on the importance of assessing these factors in preschool ages, due to the high risk of excess adiposity in childhood tracking into adolescence and adulthood [38].
Heart rate recovery has been described as a simple, non-expensive method of estimating cardiovascular fitness, and its use in clinical studies in adults is well established [39, 40]. We found that heart rate recovery after a simple stepping test was positively associated with adiposity in preschool children at 5-years of age, as estimated using skinfold measures. This association remained significant after controlling for several confounding factors including child sex, age at study visit, breastfeeding exposure, and perceived effort in the step test. The step test had a high level of participation with 91.9% of children putting in a good effort and the sum of skinfolds was correlated with heart rate recovery regardless of effort put in by the child. Our findings suggest that the ROLO Kids step test may be a comprehensive estimate of fitness and risk of obesity in preschool ages.
While additional efforts are needed to validate the ROLO Kids step test, previous studies that used similar step tests reported consistent associations [20, 21, 41]. Compared to a 45-second squat test that required participants to complete 30 squats paced by a metronome, Bruggeman et al. reported that fitness scores from a three-minute step test correlated best with treadmill VO2max test results in 10 to 17-year-olds [20]. Additional recent research found heart rate after a three-minute step test was positively correlated with BMI z-score, waist circumference z-score, and insulin resistance in 8 to 15-year-olds with overweight and obesity [42]. Likewise, Suriano et al. reported lower peak heart rate during a three-minute step test was associated with significantly reduced triglycerides, and lower fasting glucose, insulin, and insulin resistance amongst children with healthy weight aged 6 to 13-years [43]. Finally, 10 to 12-year-old children in the upper-quartile of heart rate recovery after a three-minute step test had an increased risk of dyslipidaemia compared to those in the lower quartile [14]. These findings indicate that a step test may be a useful exercise to help identify cardiovascular risk factors in children.
This study observed several sex differences in adiposity and cardiovascular fitness. At 5-years of age, boys were significantly taller, and leaner compared to girls, consistent with biological differences in metabolism from early life [33]. Previous research has shown that sex differences in adiposity have been evident in the ROLO cohort from infancy. Factors such as parental adiposity, maternal cytokines in utero, and the placental phenotype have been associated with differences in infant anthropometry between males and females [4446]. This research highlights the potential need for sex-specific obesity prevention strategies for predisposed children in early childhood years. We also found males had a quicker heart rate recovery time than girls after the ROLO Kids step test. Simahee et al. found similar differences in 10-12-year-olds, where a higher percentage of boys were in the lower heart rate recovery quartile following a three-minute step test compared to a higher percentage of girls in the upper quartile [14]. Given that current literature supports the long-term impact of childhood fitness levels on cardiovascular risk factors in later life [47], greater focus on promoting adequate fitness levels in both sexes from preschool years is needed. Differences in heart rate recovery between boys and girls may also be influenced by biological factors such as aerobic fitness, autonomic regulation at rest, and resting heart rate from a young age [48, 49].
A secondary finding of this study is that the ROLO Kids step test may serve as a novel and innovative method of assessing cardiovascular fitness in preschool children. To our knowledge this is the first step-based method of assessing cardiovascular fitness in 5-year-old children. Three-minute step tests are considered simple and practical assessments that can be easily replicated with limited equipment, space and training requirements [42]. Often, it is not possible to have expensive equipment such as a treadmill, or the space needed to carry out assessments, like the 20-meter shuttle run, in small areas or health clinics or doctors’ offices for a routine health screening [20]. Furthermore, evidence suggests children often experience discomfort and pacing challenges during extensive fitness testing which may limit the reliability of results [48, 50]. The simple ROLO Kids step test could be used in a doctor’s office as a quick estimate of fitness level and associated risk in children. The non-invasive nature of the step test is particularly important for the age group of this cohort, which may play a role in reducing healthcare-related anxiety in preschool ages. Further research is needed to replicate our results in larger paediatric cohorts. Future validation of the ROLO Kids step test may promote its use to target preschool children who may benefit from early obesity preventative interventions.
This analysis had many strengths including the use of accurate objective anthropometry and body composition measurements that were collected by trained researchers. This analysis considered a wide range of variables and included valuable data related to early years which were used to provide additional context for the relationship between cardiovascular fitness and adiposity. The ROLO Kids step test is an innovative method to assess fitness in this age group and could easily be replicated in a small office space with low financial burden. It is important to acknowledge that the non-standardized approach to the use of the ROLO Kids step test and determination of heart rate recovery is a confounding factor. It is plausible that heart rate recovery levels were clouded by differences in effort due to free cadence. The assessment of perceived effort was used to control for this by including it as a confounder in the multivariate analysis. However, it should be acknowledged that the assessment of perceived effort by two researchers in this study was a subjective measurement. Another limitation may be the use of the 7-point scale to assess effort in this analysis. As the scale was not evenly weighted, it could potentially skew the results and result in very small numbers in the “poor effort” group. Future analyses may use a different scale that is equally weighted so that effort or participation with the step test could be better assessed. The interpretation of our findings from the ROLO Kids step test are limited by a lack of validation. The results of this study should encourage efforts to build stronger evidence to determine the validity of the ROLO Kids step test in larger paediatric cohorts.

Conclusion

Child adiposity was positively associated with heart rate recovery time after completing an exercise step test. With heart rate recovery being a proxy for cardiovascular fitness, the ROLO Kids step test could be used as a submaximal, field measure of fitness in 5-year-old children in research and clinical settings. Further research and validation of these findings is required to expand on the importance of cardiovascular fitness in preschool children.

Acknowledgements

The authors would like to thank all the ROLO study participants and their families for their continued support. Thank you also to the staff of the National Maternity Hospital for facilitating our research.

Declarations

Competing interests

The authors declare no competing interests.
The ROLO and ROLO Kids studies were carried out in accordance with the Helsinki Declaration of 1975 as revised in 1983. Institutional ethical approval was obtained from the National Maternity Hospital in November 2006 for the original ROLO study. The ROLO Kids 5-year follow-up was approved by the Ethics (Medical Research) Committee in Our Lady’s Children’s Hospital, Dublin in October 2012, REC reference: GEN/279/12. Informed written maternal consent was obtained during pregnancy and at each subsequent follow-up from all subjects.
Not applicable.
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Literatur
1.
Zurück zum Zitat United Nations Children’s Fund (UNICEF), World Health Organization, The World Bank Group. Levels and trends in child malnutrition: key findings of the 2021 edition of the joint child malnutrition estimates. Geneva, Switzerland: World Health Organization; 2021. United Nations Children’s Fund (UNICEF), World Health Organization, The World Bank Group. Levels and trends in child malnutrition: key findings of the 2021 edition of the joint child malnutrition estimates. Geneva, Switzerland: World Health Organization; 2021.
2.
Zurück zum Zitat Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, et al. Health Effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017;377(1):13–27.PubMed Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, et al. Health Effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017;377(1):13–27.PubMed
3.
Zurück zum Zitat Millar SR, Perry IJ, Balanda KP, Dee A, et al. What are the estimated costs of childhood overweight and obesity on the island of Ireland? Dublin, Ireland: Safefood; 2017. Millar SR, Perry IJ, Balanda KP, Dee A, et al. What are the estimated costs of childhood overweight and obesity on the island of Ireland? Dublin, Ireland: Safefood; 2017.
4.
Zurück zum Zitat Mitchell LB-SS, Stanley I, Hegarty T, McCann L, Mehegan J, Murrin C, Heinen M, Kelleher C. The childhood obesity Surveillance Initiative (COSI) in the Republic of Ireland - Findings from 2018 and 2019. Dublin, Ireland: Health Service Executive; 2020. Mitchell LB-SS, Stanley I, Hegarty T, McCann L, Mehegan J, Murrin C, Heinen M, Kelleher C. The childhood obesity Surveillance Initiative (COSI) in the Republic of Ireland - Findings from 2018 and 2019. Dublin, Ireland: Health Service Executive; 2020.
5.
Zurück zum Zitat Raitakari OT, Porkka KV, Viikari JS, Rönnemaa T, Akerblom HK. Clustering of risk factors for coronary heart disease in children and adolescents. The Cardiovascular Risk in Young Finns Study. Acta Paediatr. 1994;83(9):935–40.PubMed Raitakari OT, Porkka KV, Viikari JS, Rönnemaa T, Akerblom HK. Clustering of risk factors for coronary heart disease in children and adolescents. The Cardiovascular Risk in Young Finns Study. Acta Paediatr. 1994;83(9):935–40.PubMed
6.
Zurück zum Zitat Sallis JF, Patterson TL, Buono MJ, Nader PR. Relation of cardiovascular fitness and physical activity to cardiovascular disease risk factors in children and adults. Am J Epidemiol. 1988;127(5):933–41.PubMed Sallis JF, Patterson TL, Buono MJ, Nader PR. Relation of cardiovascular fitness and physical activity to cardiovascular disease risk factors in children and adults. Am J Epidemiol. 1988;127(5):933–41.PubMed
7.
Zurück zum Zitat Fühner T, Kliegl R, Arntz F, Kriemler S, Granacher U. An update on secular trends in physical fitness of children and adolescents from 1972 to 2015: a systematic review. Sports Med. 2021;51:303–20.PubMed Fühner T, Kliegl R, Arntz F, Kriemler S, Granacher U. An update on secular trends in physical fitness of children and adolescents from 1972 to 2015: a systematic review. Sports Med. 2021;51:303–20.PubMed
8.
Zurück zum Zitat Tomkinson GR, Lang JJ, Tremblay MS. Temporal trends in the cardiorespiratory fitness of children and adolescents representing 19 high-income and upper middle-income countries between 1981 and 2014. Br J Sports Med. 2019;53(8):478–86.PubMed Tomkinson GR, Lang JJ, Tremblay MS. Temporal trends in the cardiorespiratory fitness of children and adolescents representing 19 high-income and upper middle-income countries between 1981 and 2014. Br J Sports Med. 2019;53(8):478–86.PubMed
9.
Zurück zum Zitat Masanovic B, Gardasevic J, Marques A, Peralta M, Demetriou Y, Sturm DJ, et al. Trends in physical fitness among school-aged children and adolescents: a systematic review. Front Pediatr. 2020;8:627529.PubMedPubMedCentral Masanovic B, Gardasevic J, Marques A, Peralta M, Demetriou Y, Sturm DJ, et al. Trends in physical fitness among school-aged children and adolescents: a systematic review. Front Pediatr. 2020;8:627529.PubMedPubMedCentral
10.
Zurück zum Zitat Raghuveer G, Hartz J, Lubans DR, Takken T, Wiltz JL, Mietus-Snyder M, et al. Cardiorespiratory fitness in youth: an important marker of health: a scientific statement from the american heart association. Circulation. 2020;142(7):e101–e18.PubMedPubMedCentral Raghuveer G, Hartz J, Lubans DR, Takken T, Wiltz JL, Mietus-Snyder M, et al. Cardiorespiratory fitness in youth: an important marker of health: a scientific statement from the american heart association. Circulation. 2020;142(7):e101–e18.PubMedPubMedCentral
11.
Zurück zum Zitat Malina RM. Physical activity and fitness: pathways from childhood to adulthood. Am J Hum Biol. 2001;13(2):162–72.PubMed Malina RM. Physical activity and fitness: pathways from childhood to adulthood. Am J Hum Biol. 2001;13(2):162–72.PubMed
12.
Zurück zum Zitat Lang JJ, Belanger K, Poitras V, Janssen I, Tomkinson GR, Tremblay MS. Systematic review of the relationship between 20m shuttle run performance and health indicators among children and youth. J Sci Med Sport. 2018;21(4):383–97.PubMed Lang JJ, Belanger K, Poitras V, Janssen I, Tomkinson GR, Tremblay MS. Systematic review of the relationship between 20m shuttle run performance and health indicators among children and youth. J Sci Med Sport. 2018;21(4):383–97.PubMed
13.
Zurück zum Zitat Zaqout M, Michels N, Bammann K, Ahrens W, Sprengeler O, Molnar D, et al. Influence of physical fitness on cardio-metabolic risk factors in european children. The IDEFICS study. Int J Obes (Lond). 2016;40(7):1119–25.PubMed Zaqout M, Michels N, Bammann K, Ahrens W, Sprengeler O, Molnar D, et al. Influence of physical fitness on cardio-metabolic risk factors in european children. The IDEFICS study. Int J Obes (Lond). 2016;40(7):1119–25.PubMed
14.
Zurück zum Zitat Simhaee D, Corriveau N, Gurm R, Geiger Z, Kline-Rogers E, Goldberg C, et al. Recovery heart rate: an indicator of cardiovascular risk among middle school children. Pediatr Cardiol. 2013;34(6):1431–7.PubMed Simhaee D, Corriveau N, Gurm R, Geiger Z, Kline-Rogers E, Goldberg C, et al. Recovery heart rate: an indicator of cardiovascular risk among middle school children. Pediatr Cardiol. 2013;34(6):1431–7.PubMed
15.
Zurück zum Zitat Yu TY, Hong W-J, Jin S-M, Hur KY, Jee JH, Bae JC, et al. Delayed heart rate recovery after exercise predicts development of metabolic syndrome: a retrospective cohort study. J Diabetes Investig. 2022;13(1):167–76.PubMed Yu TY, Hong W-J, Jin S-M, Hur KY, Jee JH, Bae JC, et al. Delayed heart rate recovery after exercise predicts development of metabolic syndrome: a retrospective cohort study. J Diabetes Investig. 2022;13(1):167–76.PubMed
16.
Zurück zum Zitat Laguna M, Aznar S, Lara MT, Lucía A, Ruiz JR. Heart rate recovery is associated with obesity traits and related cardiometabolic risk factors in children and adolescents. Nutr Metab Cardiovasc Dis. 2013;23(10):995–1001.PubMed Laguna M, Aznar S, Lara MT, Lucía A, Ruiz JR. Heart rate recovery is associated with obesity traits and related cardiometabolic risk factors in children and adolescents. Nutr Metab Cardiovasc Dis. 2013;23(10):995–1001.PubMed
17.
Zurück zum Zitat Abu Hanifah R, Mohamed MNA, Jaafar Z, Abdul Mohsein NA-S, Jalaludin MY, Abdul Majid H, et al. The correlates of body composition with heart rate recovery after step test: an exploratory study of malaysian adolescents. PLoS ONE. 2013;8(12):e82893.PubMedPubMedCentral Abu Hanifah R, Mohamed MNA, Jaafar Z, Abdul Mohsein NA-S, Jalaludin MY, Abdul Majid H, et al. The correlates of body composition with heart rate recovery after step test: an exploratory study of malaysian adolescents. PLoS ONE. 2013;8(12):e82893.PubMedPubMedCentral
18.
Zurück zum Zitat Lin L-Y, Kuo H-K, Lai L-P, Lin J-L, Tseng C-D, Hwang J-J. Inverse correlation between heart rate recovery and metabolic risks in healthy children and adolescents: insight from the National Health and Nutrition Examination Survey 1999–2002. Diabetes Care. 2008;31(5):1015–20.PubMed Lin L-Y, Kuo H-K, Lai L-P, Lin J-L, Tseng C-D, Hwang J-J. Inverse correlation between heart rate recovery and metabolic risks in healthy children and adolescents: insight from the National Health and Nutrition Examination Survey 1999–2002. Diabetes Care. 2008;31(5):1015–20.PubMed
19.
Zurück zum Zitat Walsh JM, McGowan CA, Mahony R, Foley ME, McAuliffe FM. Low glycaemic index diet in pregnancy to prevent macrosomia (ROLO study): randomised control trial. BMJ. 2012;345:e5605.PubMedPubMedCentral Walsh JM, McGowan CA, Mahony R, Foley ME, McAuliffe FM. Low glycaemic index diet in pregnancy to prevent macrosomia (ROLO study): randomised control trial. BMJ. 2012;345:e5605.PubMedPubMedCentral
20.
Zurück zum Zitat Bruggeman BS, Vincent HK, Chi X, Filipp SL, Mercado R, Modave F, et al. Simple tests of cardiorespiratory fitness in a pediatric population. PLoS ONE. 2020;15(9):e0238863.PubMedPubMedCentral Bruggeman BS, Vincent HK, Chi X, Filipp SL, Mercado R, Modave F, et al. Simple tests of cardiorespiratory fitness in a pediatric population. PLoS ONE. 2020;15(9):e0238863.PubMedPubMedCentral
21.
Zurück zum Zitat Jankowski M, Niedzielska A, Brzezinski M, Drabik J. Cardiorespiratory fitness in children: a simple screening test for Population Studies. Pediatr Cardiol. 2015;36(1):27–32.PubMed Jankowski M, Niedzielska A, Brzezinski M, Drabik J. Cardiorespiratory fitness in children: a simple screening test for Population Studies. Pediatr Cardiol. 2015;36(1):27–32.PubMed
22.
Zurück zum Zitat McGowan CA, Walsh JM, Byrne J, Curran S, McAuliffe FM. The influence of a low glycemic index dietary intervention on maternal dietary intake, glycemic index and gestational weight gain during pregnancy: a randomized controlled trial. Nutr J. 2013;12(1):140.PubMedPubMedCentral McGowan CA, Walsh JM, Byrne J, Curran S, McAuliffe FM. The influence of a low glycemic index dietary intervention on maternal dietary intake, glycemic index and gestational weight gain during pregnancy: a randomized controlled trial. Nutr J. 2013;12(1):140.PubMedPubMedCentral
23.
Zurück zum Zitat Horan MK, McGowan CA, Gibney ER, Byrne J, Donnelly JM, McAuliffe FM. Maternal nutrition and glycaemic index during pregnancy impacts on offspring adiposity at 6 months of age—analysis from the ROLO randomised controlled trial. Nutrients. 2016;8(1):7.PubMedPubMedCentral Horan MK, McGowan CA, Gibney ER, Byrne J, Donnelly JM, McAuliffe FM. Maternal nutrition and glycaemic index during pregnancy impacts on offspring adiposity at 6 months of age—analysis from the ROLO randomised controlled trial. Nutrients. 2016;8(1):7.PubMedPubMedCentral
24.
Zurück zum Zitat Callanan S, Yelverton CA, Geraghty AA, O’Brien EC, Donnelly JM, Larkin E et al. The association of a low glycaemic index diet in pregnancy with child body composition at 5 years of age: a secondary analysis of the ROLO study. Pediatr Obes. 2021:e12820. Callanan S, Yelverton CA, Geraghty AA, O’Brien EC, Donnelly JM, Larkin E et al. The association of a low glycaemic index diet in pregnancy with child body composition at 5 years of age: a secondary analysis of the ROLO study. Pediatr Obes. 2021:e12820.
25.
Zurück zum Zitat Horan MK, Donnelly JM, McGowan CA, Gibney ER, McAuliffe FM. The association between maternal nutrition and lifestyle during pregnancy and 2-year-old offspring adiposity: analysis from the ROLO study. J Public Health. 2016;24(5):427–36.PubMed Horan MK, Donnelly JM, McGowan CA, Gibney ER, McAuliffe FM. The association between maternal nutrition and lifestyle during pregnancy and 2-year-old offspring adiposity: analysis from the ROLO study. J Public Health. 2016;24(5):427–36.PubMed
26.
Zurück zum Zitat Registry ISRCTN. ISRCTN54392969 A comparison of low glycaemic index carbohydrate diet versus no dietary intervention in pregnancy to prevent recurrence of a large baby: ISRCTN Registry; 2021 [updated 09/08/21; accessed 20/01/23] Available at: https://www.isrctn.com/ISRCTN54392969. Registry ISRCTN. ISRCTN54392969 A comparison of low glycaemic index carbohydrate diet versus no dietary intervention in pregnancy to prevent recurrence of a large baby: ISRCTN Registry; 2021 [updated 09/08/21; accessed 20/01/23] Available at: https://​www.​isrctn.​com/​ISRCTN54392969.
27.
Zurück zum Zitat Cole TJ, Freeman JV, Preece MA. Body mass index reference curves for the UK, 1990. Arch Dis Child. 1995;73(1):25–9.PubMedPubMedCentral Cole TJ, Freeman JV, Preece MA. Body mass index reference curves for the UK, 1990. Arch Dis Child. 1995;73(1):25–9.PubMedPubMedCentral
28.
Zurück zum Zitat Cole TJ, Pan H. LMS growth, a Microsoft Excel add-in to access growth references based on the LMS method. Version 2.77. 2012. Cole TJ, Pan H. LMS growth, a Microsoft Excel add-in to access growth references based on the LMS method. Version 2.77. 2012.
29.
Zurück zum Zitat de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660–7.PubMedPubMedCentral de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660–7.PubMedPubMedCentral
30.
Zurück zum Zitat Horan M, Gibney E, Molloy E, McAuliffe F. Methodologies to assess paediatric adiposity. Ir J Med Sci. 2015;184(1):53–68.PubMed Horan M, Gibney E, Molloy E, McAuliffe F. Methodologies to assess paediatric adiposity. Ir J Med Sci. 2015;184(1):53–68.PubMed
31.
Zurück zum Zitat Flynn JT, Falkner BE. New Clinical Practice Guideline for the management of high blood pressure in children and adolescents. Hypertension. 2017;70(4):683–6.PubMed Flynn JT, Falkner BE. New Clinical Practice Guideline for the management of high blood pressure in children and adolescents. Hypertension. 2017;70(4):683–6.PubMed
32.
Zurück zum Zitat Qiao J, Dai L-J, Zhang Q, Ouyang Y-Q. A meta-analysis of the association between breastfeeding and early childhood obesity. J Pediatr Nurs. 2020;53:57–66.PubMed Qiao J, Dai L-J, Zhang Q, Ouyang Y-Q. A meta-analysis of the association between breastfeeding and early childhood obesity. J Pediatr Nurs. 2020;53:57–66.PubMed
33.
Zurück zum Zitat Shah B, Tombeau Cost K, Fuller A, Birken CS, Anderson LN. Sex and gender differences in childhood obesity: contributing to the research agenda. BMJ Nutr Prev Health. 2020;3(2):387–90.PubMedPubMedCentral Shah B, Tombeau Cost K, Fuller A, Birken CS, Anderson LN. Sex and gender differences in childhood obesity: contributing to the research agenda. BMJ Nutr Prev Health. 2020;3(2):387–90.PubMedPubMedCentral
34.
Zurück zum Zitat Loprinzi PD, Edwards MK. Less sitting, more physical activity and higher cardiorespiratory fitness: associations with weight status among a national sample of children. Health Promot Perspect. 2017;7(3):175–7.PubMedPubMedCentral Loprinzi PD, Edwards MK. Less sitting, more physical activity and higher cardiorespiratory fitness: associations with weight status among a national sample of children. Health Promot Perspect. 2017;7(3):175–7.PubMedPubMedCentral
35.
Zurück zum Zitat Chiarelli F, Mohn A. Early diagnosis of metabolic syndrome in children. Lancet Child Adolesc Health. 2017;1(2):86–8.PubMed Chiarelli F, Mohn A. Early diagnosis of metabolic syndrome in children. Lancet Child Adolesc Health. 2017;1(2):86–8.PubMed
36.
Zurück zum Zitat Hanley AJ, Harris SB, Gittelsohn J, Wolever TM, Saksvig B, Zinman B. Overweight among children and adolescents in a native canadian community: prevalence and associated factors. Am J Clin Nutr. 2000;71(3):693–700.PubMed Hanley AJ, Harris SB, Gittelsohn J, Wolever TM, Saksvig B, Zinman B. Overweight among children and adolescents in a native canadian community: prevalence and associated factors. Am J Clin Nutr. 2000;71(3):693–700.PubMed
37.
Zurück zum Zitat Ortega FB, Ruiz JR, Hurtig-Wennlöf A, Vicente-Rodríguez G, Rizzo NS, Castillo MJ, et al. Cardiovascular fitness modifies the associations between physical activity and abdominal adiposity in children and adolescents: the European Youth Heart Study. Br J Sports Med. 2010;44(4):256–62.PubMed Ortega FB, Ruiz JR, Hurtig-Wennlöf A, Vicente-Rodríguez G, Rizzo NS, Castillo MJ, et al. Cardiovascular fitness modifies the associations between physical activity and abdominal adiposity in children and adolescents: the European Youth Heart Study. Br J Sports Med. 2010;44(4):256–62.PubMed
38.
Zurück zum Zitat Ryder JR, Jacobs DR, Sinaiko AR, Kornblum AP, Steinberger J. Longitudinal changes in Weight Status from Childhood and Adolescence to Adulthood. J Pediatr. 2019;214:187 – 92.e2. Ryder JR, Jacobs DR, Sinaiko AR, Kornblum AP, Steinberger J. Longitudinal changes in Weight Status from Childhood and Adolescence to Adulthood. J Pediatr. 2019;214:187 – 92.e2.
39.
Zurück zum Zitat Buchheit MPY, Laursen PB. Noninvasive assessment of cardiac parasympathetic function: postexercise heart rate recovery or heart rate variability? Am J Physiol Heart Circ. 2007;293:8–10. Buchheit MPY, Laursen PB. Noninvasive assessment of cardiac parasympathetic function: postexercise heart rate recovery or heart rate variability? Am J Physiol Heart Circ. 2007;293:8–10.
40.
Zurück zum Zitat Peçanha T, Silva-Júnior ND, Forjaz CL. Heart rate recovery: autonomic determinants, methods of assessment and association with mortality and cardiovascular diseases. Clin Physiol Funct Imaging. 2014;34(5):327–39.PubMed Peçanha T, Silva-Júnior ND, Forjaz CL. Heart rate recovery: autonomic determinants, methods of assessment and association with mortality and cardiovascular diseases. Clin Physiol Funct Imaging. 2014;34(5):327–39.PubMed
41.
Zurück zum Zitat Hayes RM, Maldonado D, Gossett T, Shepherd T, Mehta SP, Flesher SL. Developing and validating a step test of aerobic fitness among elementary school children. Physiother Can. 2019;71(2):187–94.PubMedPubMedCentral Hayes RM, Maldonado D, Gossett T, Shepherd T, Mehta SP, Flesher SL. Developing and validating a step test of aerobic fitness among elementary school children. Physiother Can. 2019;71(2):187–94.PubMedPubMedCentral
42.
Zurück zum Zitat Gupta P, Kumar B, Banothu KK, Jain V. Assessment of Cardiorespiratory Fitness in 8-to-15-Year-Old Children with Overweight/Obesity by Three-Minute Step Test: Association with Degree of Obesity, Blood Pressure, and Insulin Resistance. Indian J. Pediatr. 2022 Sep 6. https://doi.org/10.1007/s12098-022-04311-z. Epub ahead of print. PMID: 36066791. Gupta P, Kumar B, Banothu KK, Jain V. Assessment of Cardiorespiratory Fitness in 8-to-15-Year-Old Children with Overweight/Obesity by Three-Minute Step Test: Association with Degree of Obesity, Blood Pressure, and Insulin Resistance. Indian J. Pediatr. 2022 Sep 6. https://​doi.​org/​10.​1007/​s12098-022-04311-z. Epub ahead of print. PMID: 36066791.
43.
Zurück zum Zitat Suriano K, Curran J, Byrne SM, Jones TW, Davis EA. Fatness, Fitness, and increased Cardiovascular Risk in Young Children. J Pediatr. 2010;157(4):552–8.PubMed Suriano K, Curran J, Byrne SM, Jones TW, Davis EA. Fatness, Fitness, and increased Cardiovascular Risk in Young Children. J Pediatr. 2010;157(4):552–8.PubMed
44.
Zurück zum Zitat Donnelly JM, Walsh JM, Horan MK, Mehegan J, Molloy EJ, Byrne DF et al. Parental Height and Weight Influence Offspring Adiposity at 2 Years; Findings from the ROLO Kids Birth Cohort Study. Am J Perinatol. 2021 Dec 29. https://doi.org/10.1055/s-0041-1740299. Epub ahead of print. PMID: 34965588. Donnelly JM, Walsh JM, Horan MK, Mehegan J, Molloy EJ, Byrne DF et al. Parental Height and Weight Influence Offspring Adiposity at 2 Years; Findings from the ROLO Kids Birth Cohort Study. Am J Perinatol. 2021 Dec 29. https://​doi.​org/​10.​1055/​s-0041-1740299. Epub ahead of print. PMID: 34965588.
45.
Zurück zum Zitat Donnelly JM, Lindsay K, Walsh JM, Horan MK, O’Shea D, Molloy EJ, et al. Perinatal inflammation and childhood adiposity - a gender effect? J Matern Fetal Neonatal Med. 2020;33(7):1203–10.PubMed Donnelly JM, Lindsay K, Walsh JM, Horan MK, O’Shea D, Molloy EJ, et al. Perinatal inflammation and childhood adiposity - a gender effect? J Matern Fetal Neonatal Med. 2020;33(7):1203–10.PubMed
46.
Zurück zum Zitat Donnelly JMT, Horan M, Segurado R, Mooney EE, French S, Molloy EJ et al. Sexual dimorphism and the placenta - results from the ROLO kids study. J Matern Fetal Neonatal Med. 2020:1–7. Donnelly JMT, Horan M, Segurado R, Mooney EE, French S, Molloy EJ et al. Sexual dimorphism and the placenta - results from the ROLO kids study. J Matern Fetal Neonatal Med. 2020:1–7.
47.
Zurück zum Zitat Mintjens S, Menting MD, Daams JG, van Poppel MNM, Roseboom TJ, Gemke RJBJ. Cardiorespiratory Fitness in Childhood and Adolescence affects Future Cardiovascular Risk factors: a systematic review of Longitudinal Studies. Sports Med. 2018;48(11):2577–605.PubMedPubMedCentral Mintjens S, Menting MD, Daams JG, van Poppel MNM, Roseboom TJ, Gemke RJBJ. Cardiorespiratory Fitness in Childhood and Adolescence affects Future Cardiovascular Risk factors: a systematic review of Longitudinal Studies. Sports Med. 2018;48(11):2577–605.PubMedPubMedCentral
48.
Zurück zum Zitat Washington RL, van Gundy JC, Cohen C, Sondheimer HM, Wolfe RR. Normal aerobic and anaerobic exercise data for north american school-age children. J Pediatr. 1988;112(2):223–33.PubMed Washington RL, van Gundy JC, Cohen C, Sondheimer HM, Wolfe RR. Normal aerobic and anaerobic exercise data for north american school-age children. J Pediatr. 1988;112(2):223–33.PubMed
49.
Zurück zum Zitat Guilkey JP, Overstreet M, Mahon AD. Heart rate recovery and parasympathetic modulation in boys and girls following maximal and submaximal exercise. Eur J Appl Physiol. 2015;115(10):2125–33.PubMed Guilkey JP, Overstreet M, Mahon AD. Heart rate recovery and parasympathetic modulation in boys and girls following maximal and submaximal exercise. Eur J Appl Physiol. 2015;115(10):2125–33.PubMed
50.
Zurück zum Zitat Schöffl I, Ehrlich B, Stanger S, Rottermann K, Dittrich S, Schöffl V. Exercise Field Testing in Children: a New Approach for Age-Appropriate evaluation of cardiopulmonary function. Pediatr Cardiol. 2020;41(6):1099–106.PubMedPubMedCentral Schöffl I, Ehrlich B, Stanger S, Rottermann K, Dittrich S, Schöffl V. Exercise Field Testing in Children: a New Approach for Age-Appropriate evaluation of cardiopulmonary function. Pediatr Cardiol. 2020;41(6):1099–106.PubMedPubMedCentral
Metadaten
Titel
Cardiovascular fitness is associated with child adiposity at 5 years of age: findings from the ROLO longitudinal birth cohort study
verfasst von
Aisling A. Geraghty
Eileen C. O’Brien
Sophie Callanan
John Mehegan
Fionnuala M. McAuliffe
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
BMC Pediatrics / Ausgabe 1/2023
Elektronische ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-023-04157-0

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