Skip to main content

Advertising Disclaimer »

Main menu

  • Journals
    • Pediatrics
    • Hospital Pediatrics
    • Pediatrics in Review
    • NeoReviews
    • AAP Grand Rounds
    • AAP News
  • Authors/Reviewers
    • Submit Manuscript
    • Author Guidelines
    • Reviewer Guidelines
    • Open Access
    • Editorial Policies
  • Content
    • Current Issue
    • Online First
    • Archive
    • Blogs
    • Topic/Program Collections
    • AAP Meeting Abstracts
  • Pediatric Collections
    • COVID-19
    • Racism and Its Effects on Pediatric Health
    • More Collections...
  • AAP Policy
  • Supplements
  • Multimedia
    • Video Abstracts
    • Pediatrics On Call Podcast
  • Subscribe
  • Alerts
  • Careers
  • Other Publications
    • American Academy of Pediatrics

User menu

  • Log in
  • My Cart

Search

  • Advanced search
American Academy of Pediatrics

AAP Gateway

Advanced Search

AAP Logo

  • Log in
  • My Cart
  • Journals
    • Pediatrics
    • Hospital Pediatrics
    • Pediatrics in Review
    • NeoReviews
    • AAP Grand Rounds
    • AAP News
  • Authors/Reviewers
    • Submit Manuscript
    • Author Guidelines
    • Reviewer Guidelines
    • Open Access
    • Editorial Policies
  • Content
    • Current Issue
    • Online First
    • Archive
    • Blogs
    • Topic/Program Collections
    • AAP Meeting Abstracts
  • Pediatric Collections
    • COVID-19
    • Racism and Its Effects on Pediatric Health
    • More Collections...
  • AAP Policy
  • Supplements
  • Multimedia
    • Video Abstracts
    • Pediatrics On Call Podcast
  • Subscribe
  • Alerts
  • Careers

Discover Pediatric Collections on COVID-19 and Racism and Its Effects on Pediatric Health

American Academy of Pediatrics
Article

Cardiovascular Risk Factors in Childhood and Left Ventricular Diastolic Function in Adulthood

Jarkko S. Heiskanen, Saku Ruohonen, Suvi P. Rovio, Katja Pahkala, Ville Kytö, Mika Kähönen, Terho Lehtimäki, Jorma S.A. Viikari, Markus Juonala, Tomi Laitinen, Päivi Tossavainen, Eero Jokinen, Nina Hutri-Kähönen and Olli T. Raitakari
Pediatrics March 2021, 147 (3) e2020016691; DOI: https://doi.org/10.1542/peds.2020-016691
Jarkko S. Heiskanen
aResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland;
bCentre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Saku Ruohonen
aResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland;
bCentre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland;
cOrion Pharma, Turku, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Suvi P. Rovio
aResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland;
bCentre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Katja Pahkala
aResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland;
bCentre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ville Kytö
aResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland;
bCentre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland;
dHeart Center, Turku University Hospital, Turku, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mika Kähönen
eDepartment of Clinical Physiology, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Terho Lehtimäki
fDepartment of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jorma S.A. Viikari
gDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Markus Juonala
gDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tomi Laitinen
hDepartment of Clinical Physiology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Päivi Tossavainen
iDepartment of Pediatrics, PEDEGO Research Unit and Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eero Jokinen
jDepartment of Paediatric Cardiology, Hospital for Children and Adolescents, University of Helsinki, Helsinki, Finland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nina Hutri-Kähönen
kDepartment of Paediatrics, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Olli T. Raitakari
aResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland;
bCentre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland;
lDepartment of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Comments
Loading
Download PDF

Abstract

Video Abstract

BACKGROUND AND OBJECTIVES: Cardiovascular risk factors, such as obesity, blood pressure, and physical inactivity, have been identified as modifiable determinants of left ventricular (LV) diastolic function in adulthood. However, the links between childhood cardiovascular risk factor burden and adulthood LV diastolic function are unknown. To address this lack of knowledge, we aimed to identify childhood risk factors associated with LV diastolic function in the participants of the Cardiovascular Risk in Young Finns Study.

METHODS: Study participants (N = 1871; 45.9% men; aged 34–49 years) were examined repeatedly between the years 1980 and 2011. We determined the cumulative risk exposure in childhood (age 6–18 years) as the area under the curve for systolic blood pressure, adiposity (defined by using skinfold and waist circumference measurements), physical activity, serum insulin, triglycerides, total cholesterol, and high- and low-density lipoprotein cholesterols. Adulthood LV diastolic function was defined by using E/é ratio.

RESULTS: Elevated systolic blood pressure and increased adiposity in childhood were associated with worse adulthood LV diastolic function, whereas higher physical activity level in childhood was associated with better adulthood LV diastolic function (P < .001 for all). The associations of childhood adiposity and physical activity with adulthood LV diastolic function remained significant (both P < .05) but were diluted when the analyses were adjusted for adulthood systolic blood pressure, adiposity, and physical activity. The association between childhood systolic blood pressure and adult LV diastolic function was diluted to nonsignificant (P = .56).

CONCLUSIONS: Adiposity status and the level of physical activity in childhood are independently associated with LV diastolic function in adulthood.

  • Abbreviations:
    AUC —
    area under the curve
    HDL-C —
    high-density lipoprotein cholesterol
    LDL-C —
    low-density lipoprotein cholesterol
    LV —
    left ventricular
    YFS —
    Cardiovascular Risk in Young Finns Study
  • What’s Known on This Subject:

    In adults, decreased left ventricular (LV) diastolic function is associated with several known cardiovascular risk factors such as overweight, hypertension, and physical inactivity. However, the link between childhood cardiovascular risk factor burden and adulthood LV diastolic function is unknown.

    What This Study Adds:

    This study reveals that lower LV diastolic function in adulthood is associated with an increased burden of adiposity and decreased physical activity in childhood, supporting the benefits of avoiding high adiposity and adopting a physically active lifestyle from childhood.

    The prevalence of overweight and low levels of physical activity are rising across Western countries, with an increased need for active prevention.1,2 Cardiovascular risk burden accumulated across the lifetime contributes to cardiovascular disease outcomes that are the leading causes of death globally.3 The decrease in left ventricular (LV) diastolic function is an early functional alteration of the heart. We have previously shown that higher waist circumference, systolic blood pressure, and smoking are associated with lower LV diastolic function in adults.4 Adverse effects of childhood obesity on adulthood LV mass has been previously shown in the Bogalusa Heart Study.5 Additionally, obese children have been reported to have worse LV diastolic function compared with normal-weight children.6 Conversely, achieving ideal cardiovascular health, defined by the American Heart Association, in childhood has been associated with better LV diastolic function in adulthood.7

    Heart failure with preserved ejection fraction is a clinical syndrome characterized by symptoms of heart failure without a decrease of LV systolic function.8 Instead, LV diastolic function is decreased, including slow LV filling and increased diastolic LV stiffness.9 Currently, there is no evidence-based medicine that improves the prognosis of the condition. Moreover, LV diastolic function is already considerably decreased when the symptoms of heart failure appear. Therefore, it is important to understand the role of risk burden acquired during the life course to be able to provide effective prevention. In adult populations, overweight, insulin resistance, and elevated systolic blood pressure are well-known modifiable risk factors for heart failure with preserved ejection fraction.10 However, the links between childhood cardiovascular risk factor burden and adulthood LV diastolic function are unknown. To address this lack of knowledge, we aimed to identify childhood risk factors associated with LV diastolic function in the 34- to 49-year-old participants of the Cardiovascular Risk in Young Finns Study (YFS). The longitudinal study design with repeated risk factor measurements beginning from childhood allows us the unique assessment of cumulative risk factor burden from childhood.

    Methods

    Study Population

    The YFS is an ongoing multicenter, longitudinal, population-based study on cardiovascular risk factors from childhood to adulthood, representing the general Finnish population. The baseline study was conducted in 1980 and included 3596 children and adolescents (49.0% males aged 3, 6, 9, 12, 15, and 18 years). Extensive data on cardiovascular risk factors were recorded at the baseline in 1980, and all follow-up studies were conducted in 1983, 1986, 1989, 2001, 2007, and 2011.11 Population characteristics from the year 2011 are presented in Table 1. Detailed information on the YFS population and study protocol has been reported earlier.11 The study protocol has been approved by the ethics committee of the University of Turku and Turku University Central Hospital, and informed consent was obtained from all participants. All authors had full access to the data.

    View this table:
    • View inline
    • View popup
    TABLE 1

    Population Characteristics (the Follow-up Year 2011)

    Echocardiographic Measurements

    Echocardiography was performed in 2011 for 1994 participants according to the joint American and European guidelines.9,12 After excluding the participants with severe cardiovascular diseases (including stroke, myocardial infarction, atrial fibrillation, unstable angina pectoris, cardiomyopathies, and regurgitation or stenosis of the mitral or aortic valve), type 1 diabetes, or missing echocardiographic measurements, the study population of the current study consisted of 1871 participants (859 men and 1012 women; mean age 41.8 ± 5.0 years).

    Trained ultrasound technicians performed the echocardiographic examinations at 5 YFS study centers. All ultrasound technicians were trained by a cardiac imaging specialist. Transthoracic echocardiography was performed with Acuson Sequoia 512 (Mountain View, CA) ultrasonography by using a 3.5-MHz scanning frequency phased-array transducer. Analysis of the echo images was done by one observer blinded to the clinical details with the CommPACS 10.7.8 (MediMatic Solutions, Genova, Italy) analysis program.13

    E/é ratio is a noninvasive measurement representing LV filling pressure in early diastole.9 Pulsed-wave Doppler imaging was used to measure E. Pulsed-wave tissue Doppler imaging was used to measure é; E wave describes the mitral blood flow during the early filling of the LV, and é measures mitral annular early diastolic velocity. In this study, E/é ratio (mean 4.8; range 2.2–9.0) was calculated by using the average of lateral and septal values of é velocity.9 High E/é ratio reflects low LV diastolic function and has been associated with all-cause mortality in several disease states.14,15 The complete methodology of the cardiac imaging and the off-line analysis of the cardiac measurements in the YFS have been published earlier.13

    Clinical Measurements and Questionnaires

    Standard methods were used to measure blood pressure, fasting serum glucose, total cholesterol, and high-density lipoprotein cholesterol (HDL-C) concentrations throughout the study.16 Low-density lipoprotein cholesterol (LDL-C) was calculated according to Friedewald et al.17 In 1980, 1983, and 1986, serum insulin was measured with a modification of the immunoassay method of Herbert et al.18 The concentration of serum insulin was determined with an immunoassay in years 2001, 2007, and 2011.19 At all follow-ups, the participants’ weight (kilograms) and height (centimeters) were measured. In the follow-up studies conducted in 1980, 1983, and 1986, childhood adiposity was measured by using subscapular, biceps, and triceps skinfold measurements in triplicate from the nondominant arm by using a Harpenden skinfold caliper.20 Using these adiposity measures, an area under the curve (AUC) variable was created for childhood adiposity (standardized mean = 100; SD = 15). In the adulthood follow-up studies in 2001, 2007, and 2011, waist circumference (centimeters) was used to indicate adiposity. Data on leisure-time physical activity were collected by using a validated self-report questionnaire from participants aged 9 to 18 years (Supplemental Information).21 The questionnaire was administered in connection with the medical examination. For participants aged 6 years, physical activity was collected by using parents’ ratings (Supplemental Information).21

    To describe the long-term burden of the risk factors, we estimated participant-specific curves for age window between 6 and 18 years, systolic blood pressure, adiposity, physical activity, insulin, triglycerides, total cholesterol, HDL-C, and LDL-C by mixed-model regression splines.22 For more detailed information on the methodology, please see the Supplemental Information.

    Statistical Analysis

    The distributions of the study variables were confirmed by visual evaluation and the Kolmogorov-Smirnov test. Unmodifiable parameters with a strong association with LV diastolic function, namely, age, sex, and adulthood height,4 as well as the study site, were used as covariates in all statistical models. First, multivariable linear models were conducted separately for each childhood cardiovascular risk factor. Variables were standardized (mean 0 and SD 1) to ensure the comparability of the point estimates among the studied risk factors and to visualize the results as a forest plot. Second, all childhood variables revealing significant associations with adulthood LV diastolic function in the previous model (ie, adiposity, physical activity, and systolic blood pressure) were entered into the same statistical model (childhood model). Third, a multivariable linear model (combined model) was created adjusting the childhood model additionally for corresponding adulthood parameters (ie, adulthood adiposity, physical activity, and systolic blood pressure).

    To study the associations of childhood cardiovascular risk factor clustering on adulthood LV diastolic function, we calculated a childhood risk score using those childhood risk factors that associated significantly with LV diastolic function in the multivariable models. The factors included in the score were (1) childhood adiposity, (2) physical activity, and (3) systolic blood pressure. First, for all 3 risk factors, the participants were categorized into those having the risk factor (1 point) and those without the risk factor (0 points). Having a risk factor was defined as having the AUC value within the highest quartile for adiposity and systolic blood pressure and in the lowest quartile for physical activity. The risk score was then calculated by summing all 3 risk factors (range 0–3), resulting in 4 groups: 0 risk factors (n = 870), 1 risk factor (n = 652), 2 risk factors (n = 296), and 3 risk factors (n = 53). Finally, the mean E/é ratio was calculated for each group by using least-squares means (The R Package lsmeans)23 adjusting the analyses according to the combined model.

    We used all available data in the analyses; therefore, the number of participants varies between the models. Variance inflation factors were used to detect multicollinearity in multivariable models (no significant multicollinearities were found). P values ≤.05 were considered statistically significant in all analyses. Data were analyzed by using the R statistical package, version 3.3.2. (R Foundation for Statistical Computing, Vienna, Austria) (http://www.R-project.org/).

    Results

    Childhood Risk Factors and Adulthood LV Diastolic Function

    The high cumulative burden of childhood adiposity and systolic blood pressure were associated with worse adulthood LV diastolic function. The high cumulative childhood physical activity exposure was associated with a better adulthood LV diastolic function (Fig 1). The results remained similar when all 3 childhood risk factors were entered simultaneously in a multivariable linear model (Table 2, childhood model). No significant associations were found for the cumulative childhood burden of serum insulin, triglycerides, total cholesterol, HDL-C, or LDL-C with adult LV diastolic function (Fig 1).

    FIGURE 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1

    Standardized β-estimates for the associations between each separate childhood (age 6–18 years) cumulative cardiovascular risk factor and adulthood E/é ratio. Linear regression analyses were conducted separately for each cardiovascular risk factor adjusting for age, sex, study center (in the year 2011), and adulthood height. Standardized cardiovascular risk factor variables (mean 0 and SD 1) are shown. Error bars denote 95% confidence intervals (CIs).

    View this table:
    • View inline
    • View popup
    TABLE 2

    Associations Between LV Diastolic Function (E/é Ratio) and Childhood Risk Factors

    To study whether the associations of childhood risk factors remained significant after controlling for the counterpart adulthood risk factors, we conducted a multivariable model including systolic blood pressure, physical activity, and adiposity measurements from both childhood and adulthood (Table 2, combined model). Childhood adiposity was found to have an association with worse adulthood LV diastolic function independent of adulthood adiposity. The adjustment with the counterpart adulthood risk factors diluted the effect estimate by ∼18%. Childhood physical activity had an association with better adulthood LV diastolic function independent of adulthood physical activity. After further adjustment with the counterpart adulthood risk factors, the effect estimate of childhood physical activity was diluted by ∼13%. The association of childhood systolic blood pressure with adulthood LV diastolic function was no longer significant when the adulthood risk factors were taken into account (the effect estimate was diluted by 85%).

    Clustering of the Childhood Risk Factors

    The results from the analyses for the childhood risk factor score, indicating the number of childhood risk factors, are shown in Fig 2. A significant trend was found between a higher number of childhood cardiovascular risk factors and worse LV diastolic function (P = .007). Compared with the participants with no childhood risk factors, the participants with 2 or 3 childhood risk factors had a higher E/é ratio denoting worse LV diastolic function (P = .047 and P = .0066, respectively).

    FIGURE 2
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 2

    Association between childhood cardiovascular risk score and adjusted means for adulthood E/é ratio. The analyses were adjusted for age, sex, research center, adulthood height, systolic blood pressure, physical activity, and waist circumference. Study participants were divided into 4 groups on the basis of the sum of the risk factors in childhood (n): 0 = 870, 1 = 652, 2 = 296, and 3 = 53. a P values compared with the group with 0 risk factors.

    Finally, all multivariable models were further adjusted for left atrial and ventricular volume, ejection fraction, and LV mass in separate models. The results of these analyses were similar to those of the main analyses reported in Table 2 and Fig 2 (data not shown), suggesting that the results are not driven by changes in LV volume, LV mass, or LV systolic function.

    Sensitivity Analyses

    Sensitivity analyses were conducted by using (1) arithmetic means instead of least-squares means or (2) cutoff limits of 80th/20th for the risk factors to calculate the childhood cardiovascular risk score indicating the childhood risk factor accumulation. The results from the sensitivity analyses were similar to the main analyses (data not shown).

    Discussion

    This study reveals that the cumulative burden of adiposity, physical activity, and systolic blood pressure in childhood is associated with LV diastolic function at ages 34 to 49. Importantly, the associations of childhood adiposity and physical activity with adulthood LV diastolic function were independent of the adulthood levels of the same risk factor. This is the first study to indicate that the cumulative cardiovascular risk factor exposure already in childhood may independently contribute to diastolic LV function in adulthood.

    Childhood obesity is known to associate with adverse changes in cardiovascular risk factors, such as serum lipoproteins, systolic and diastolic blood pressure, and glucose metabolism.24 Moreover, both childhood and adulthood obesity are associated with myocardium remodeling and alteration of LV systolic and diastolic function.25,26 This deterioration in LV diastolic function has been suggested to affect the elastic properties of the myocardium through multifactorial mechanisms.25,27,28 Our present results indicate that increased childhood adiposity has an inverse association with LV diastolic function in adulthood and that this link remains significant after controlling for adulthood risk factor profile. This suggests that excess childhood adiposity may have long-term adverse influences on LV diastolic function. Importantly, although childhood adiposity was associated independently with adulthood LV diastolic function, the cardiometabolic markers closely linked to adiposity, including childhood insulin, triglycerides, total cholesterol, HDL-C, and LDL-C, were not. Therefore, our results suggest that the association between childhood adiposity and adulthood LV diastolic function is not driven by these cardiometabolic markers.

    Previous studies have revealed that physical activity has numerous beneficial effects on cardiovascular health.29,30 Physically active individuals have fewer cardiovascular comorbidities, including diabetes mellitus, hypertension, and dyslipidemia, than those with low physical activity levels.31 Previous studies have revealed that lower cardiorespiratory fitness is a risk factor for worse LV diastolic function and heart failure with preserved ejection fraction and may contribute to the prognosis of the disease.32–35 Furthermore, worse cardiorespiratory fitness in young adulthood was found to associate with higher LV diastolic filling pressures independent of cardiovascular risk factor burden in a middle-aged population.36 Our findings, revealing that the childhood cumulative physical activity is associated with better adulthood LV diastolic function, extend these previous observations by demonstrating that the beneficial effects of childhood physical activity may carry on to adulthood.

    Hypertension is considered a key risk factor for LV diastolic dysfunction in adults, deterring it through several potential mechanistic pathways, including pressure overload causing LV hypertrophy and alterations in the neurohumoral activity and inflammation.14,37 In contrast, childhood systolic blood pressure has not been previously linked with adulthood LV diastolic function. In our study, a higher cumulative burden of systolic pressure in childhood was associated with worse LV diastolic function in adulthood. However, the association diluted when adulthood systolic blood pressure was taken into account, suggesting that adulthood systolic blood pressure level is a more powerful determinant for the adulthood LV diastolic function compared to childhood systolic blood pressure.

    Cardiovascular risk factors tend to cluster already in childhood, and the clustering of risk factors is thought to be a useful measure of cardiovascular health in children.38 Our present study extends current knowledge by revealing that the cardiovascular risk factor clustering (ie, an increasing number of risk factors) already in childhood associates with lower LV diastolic function in adulthood. Noteworthy, by broadening the outlook to the long-term effects of childhood risk factor clustering on cardiovascular health and by highlighting the role of lifestyle-related childhood risk factors, the findings from our study underline the need for guideline-recommended active prevention strategies targeted to the individuals with several cardiovascular risk factors beginning from childhood.39

    The major strengths of this study include the longitudinal study design and the long follow-up of participants who were well phenotyped in both childhood and adulthood. A potential limitation of the study is a possible selection of the study population. As in every longitudinal study, there is a loss in the follow-up. However, detailed assessments of the representativeness have previously revealed no significant differences between the participants and nonparticipants in the age- and sex-adjusted analyses.11,16 The YFS population is racially homogeneous, therefore our results are generalizable to white European subjects. E/é ratio is a generally used marker for LV diastolic function, but it is not a consistent indicator of LV filling pressures in individual patients in specific clinical situations.15 However, at a population level, E/é ratio has been shown to associate with an increased incidence of heart failure and has been used in multiple studies to predict all-cause mortality, cardiovascular death, and heart failure hospitalizations in several diseases states.14,40 Additionally, in a population-based follow-up study by Kane et al,41 baseline E/é ratio was found to be a predictive factor for worse LV diastolic dysfunction in the follow-up examination. Our study population with no significant cardiac diseases strengthens the significance of these results because the possibility for bias caused by cardiac diseases is low.

    Conclusions

    This study reveals that lower levels of adiposity and higher levels of physical activity in childhood are beneficially associated with LV diastolic function in adulthood. Importantly, the clustering of cardiovascular risk factors in childhood is associated with worse LV diastolic function in adulthood. These findings provide novel evidence on the childhood risk factors of adulthood LV diastolic function, supporting the benefits of avoiding high adiposity and adopting a physically active lifestyle already from childhood.

    Acknowledgments

    Expert technical assistance in data management and statistical analyses by Johanna Ikonen, Noora Kartiosuo, and Irina Lisinen is gratefully acknowledged.

    Footnotes

      • Accepted December 4, 2020.
    • Address correspondence to Jarkko S. Heiskanen, MD, Research Centre of Applied and Preventive Cardiovascular Medicine and Centre for Population Health Research, University of Turku and Turku University Hospital, Kiinamyllynkatu 10, 20520, Turku, Finland. E-mail: jsheis{at}utu.fi
    • Deidentified individual participant data will not be made available.

    • The preliminary results of this article were presented in a poster session of the American Heart Association Scientific Sessions; November 10–12, 2018; Chicago, IL.

    • FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.

    • FUNDING: The Young Finns Study has been financially supported by the Academy of Finland: grants 322098, 286284, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), and 41071 (Skidi); the Social Insurance Institution of Finland; Competitive State Research Financing of the Expert Responsibility Area of Kuopio, Tampere and Turku University Hospitals (grant X51001); Juho Vainio Foundation; Paavo Nurmi Foundation; Finnish Foundation for Cardiovascular Research; Finnish Cultural Foundation; The Sigrid Jusélius Foundation; Tampere Tuberculosis Foundation; Emil Aaltonen Foundation; Yrjö Jahnsson Foundation; Signe and Ane Gyllenberg Foundation; Diabetes Research Foundation of Finnish Diabetes Association; European Union Horizon 2020 (grant 755320 for TAXINOMISIS); European Research Council (grant 742927 for MULTIEPIGEN project); Tampere University Hospital Supporting Foundation; and Aarne Koskelo Foundation and Diabetes Research Foundation of Finnish Diabetes Association. The funders of this study had no role in the design and conduct of the study.

    • POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

    • COMPANION PAPER: A companion to this article can be found online at www.pediatrics.org/cgi/doi/10.1542/peds.2020-025908.

    References

    1. ↵
      1. Abarca-Gómez L,
      2. Abdeen ZA,
      3. Hamid ZA, et al.; NCD Risk Factor Collaboration (NCD-RisC)
      . Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet. 2017;390(10113):2627–2642
      OpenUrlCrossRefPubMed
    2. ↵
      1. Guthold R,
      2. Stevens GA,
      3. Riley LM,
      4. Bull FC
      . Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants. Lancet Glob Health. 2018;6(10):e1077–e1086
      OpenUrlPubMed
    3. ↵
      1. World Health Organization
      . WHO Methods and Data Sources for Country-Level Causes of Death 2000–2015. Geneva, Switzerland: Department of Information, Evidence and Research, World Health Organization; 2017
    4. ↵
      1. Heiskanen JS,
      2. Ruohonen S,
      3. Rovio SP, et al
      . Determinants of left ventricular diastolic function-the Cardiovascular Risk in Young Finns Study. Echocardiography. 2019;36(5):854–861
      OpenUrl
    5. ↵
      1. Lai CC,
      2. Sun D,
      3. Cen R, et al
      . Impact of long-term burden of excessive adiposity and elevated blood pressure from childhood on adulthood left ventricular remodeling patterns: the Bogalusa Heart Study. J Am Coll Cardiol. 2014;64(15):1580–1587
      OpenUrlFREE Full Text
    6. ↵
      1. Sharpe JA,
      2. Naylor LH,
      3. Jones TW, et al
      . Impact of obesity on diastolic function in subjects < or = 16 years of age. Am J Cardiol. 2006;98(5):691–693
      OpenUrlCrossRefPubMed
    7. ↵
      1. Laitinen TT,
      2. Ruohonen S,
      3. Juonala M, et al
      . Ideal cardiovascular health in childhood-longitudinal associations with cardiac structure and function: the Special Turku Coronary Risk Factor Intervention Project (STRIP) and the Cardiovascular Risk in Young Finns Study (YFS). Int J Cardiol. 2017;230:304–309
      OpenUrl
    8. ↵
      1. Borlaug BA,
      2. Paulus WJ
      . Heart failure with preserved ejection fraction: pathophysiology, diagnosis, and treatment. Eur Heart J. 2011;32(6):670–679
      OpenUrlCrossRefPubMed
    9. ↵
      1. Nagueh SF,
      2. Smiseth OA,
      3. Appleton CP, et al.; Houston, Texas; Oslo, Norway; Phoenix, Arizona; Nashville, Tennessee; Hamilton, Ontario, Canada; Uppsala, Sweden; Ghent and Liège, Belgium; Cleveland, Ohio; Novara, Italy; Rochester, Minnesota; Bucharest, Romania; and St. Louis, Missouri
      . Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2016;17(12):1321–1360
      OpenUrlCrossRefPubMed
    10. ↵
      1. Braunwald E
      . Heart failure. JACC Heart Fail. 2013;1(1):1–20
      OpenUrlAbstract/FREE Full Text
    11. ↵
      1. Raitakari OT,
      2. Juonala M,
      3. Rönnemaa T, et al
      . Cohort profile: the cardiovascular risk in Young Finns Study. Int J Epidemiol. 2008;37(6):1220–1226
      OpenUrlCrossRefPubMed
    12. ↵
      1. Lang RM,
      2. Badano LP,
      3. Mor-Avi V, et al
      . Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2015;16(3):233–270
      OpenUrlCrossRefPubMed
    13. ↵
      1. Ruohonen S,
      2. Koskenvuo JW,
      3. Wendelin-Saarenhovi M, et al
      . Reference values for echocardiography in middle-aged population: the Cardiovascular Risk in Young Finns Study. Echocardiography. 2016;33(2):193–206
      OpenUrl
    14. ↵
      1. Redfield MM,
      2. Jacobsen SJ,
      3. Burnett JC Jr.,
      4. Mahoney DW,
      5. Bailey KR,
      6. Rodeheffer RJ
      . Burden of systolic and diastolic ventricular dysfunction in the community: appreciating the scope of the heart failure epidemic. JAMA. 2003;289(2):194–202
      OpenUrlCrossRefPubMed
    15. ↵
      1. Mitter SS,
      2. Shah SJ,
      3. Thomas JD
      . A test in context: E/A and E/e′ to assess diastolic dysfunction and LV filling pressure. J Am Coll Cardiol. 2017;69(11):1451–1464
      OpenUrlFREE Full Text
    16. ↵
      1. Juonala M,
      2. Viikari JSA,
      3. Raitakari OT
      . Main findings from the prospective Cardiovascular Risk in Young Finns Study. Curr Opin Lipidol. 2013;24(1):57–64
      OpenUrlCrossRefPubMed
    17. ↵
      1. Friedewald WT,
      2. Levy RI,
      3. Fredrickson DS
      . Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18(6):499–502
      OpenUrlAbstract/FREE Full Text
    18. ↵
      1. Herbert V,
      2. Lau K-S,
      3. Gottlieb CW,
      4. Bleicher SJ
      . Coated charcoal immunoassay of insulin. J Clin Endocrinol Metab. 1965;25(10):1375–1384
      OpenUrlCrossRefPubMed
    19. ↵
      1. Suomela E,
      2. Oikonen M,
      3. Virtanen J, et al
      . Prevalence and determinants of fatty liver in normal-weight and overweight young adults. The Cardiovascular Risk in Young Finns Study. Ann Med. 2015;47(1):40–46
      OpenUrl
    20. ↵
      1. Dahlström S,
      2. Viikari J,
      3. Akerblom HK, et al
      . Atherosclerosis precursors in Finnish children and adolescents. II. Height, weight, body mass index, and skinfolds, and their correlation to metabolic variables. Acta Paediatr Scand Suppl. 1985;318:65–78
      OpenUrlPubMed
    21. ↵
      1. Telama R,
      2. Yang X,
      3. Leskinen E, et al
      . Tracking of physical activity from early childhood through youth into adulthood. Med Sci Sports Exerc. 2014;46(5):955–962
      OpenUrlCrossRefPubMed
    22. ↵
      1. Welham SJ,
      2. Cullis BR,
      3. Kenward MG,
      4. Thompson R
      . The analysis of longitudinal data using mixed model L-splines. Biometrics. 2006;62(2):392–401
      OpenUrlPubMed
    23. ↵
      1. Lenth RV
      . Least-squares means: the R package lsmeans. J Stat Softw. 2016;69(1):1–33
      OpenUrlCrossRefPubMed
    24. ↵
      1. Skinner AC,
      2. Perrin EM,
      3. Moss LA,
      4. Skelton JA
      . Cardiometabolic risks and severity of obesity in children and young adults. N Engl J Med. 2015;373(14):1307–1317
      OpenUrlCrossRefPubMed
    25. ↵
      1. Lavie CJ,
      2. Laddu D,
      3. Arena R,
      4. Ortega FB,
      5. Alpert MA,
      6. Kushner RF
      . Healthy weight and obesity prevention: JACC health promotion series. J Am Coll Cardiol. 2018;72(13):1506–1531
      OpenUrlFREE Full Text
    26. ↵
      1. Tadic M,
      2. Cuspidi C
      . Childhood obesity and cardiac remodeling: from cardiac structure to myocardial mechanics. J Cardiovasc Med (Hagerstown). 2015;16(8):538–546
      OpenUrl
    27. ↵
      1. Spinale FG
      . Myocardial matrix remodeling and the matrix metalloproteinases: influence on cardiac form and function. Physiol Rev. 2007;87(4):1285–1342
      OpenUrlCrossRefPubMed
    28. ↵
      1. Borlaug BA,
      2. Kass DA
      . Ventricular-vascular interaction in heart failure. Heart Fail Clin. 2008;4(1):23–36
      OpenUrlCrossRefPubMed
    29. ↵
      1. Fletcher FG,
      2. Landolfo C,
      3. Niebauer J,
      4. Ozemek C,
      5. Arena R,
      6. Lavie CJ
      . Promoting physical activity and exercise: JACC Health Promotion Series. J Am Coll Cardiol. 2018;72(14):1622–1639
      OpenUrlFREE Full Text
    30. ↵
      1. Piepoli MF,
      2. Hoes AW,
      3. Agewall S, et al
      . 2016 European guidelines on cardiovascular disease prevention in clinical practice: developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur J Prev Cardiol. 2016;23(11):NP1-NP96
      OpenUrlCrossRefPubMed
    31. ↵
      1. Lee IM,
      2. Shiroma EJ,
      3. Lobelo F,
      4. Puska P,
      5. Blair SN,
      6. Katzmarzyk PT; Lancet Physical Activity Series Working Group
      . Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380(9838):219–229
      OpenUrlCrossRefPubMed
    32. ↵
      1. Pandey A,
      2. Patel KV,
      3. Vaduganathan M, et al
      . Physical activity, fitness, and obesity in heart failure with preserved ejection fraction. JACC Heart Fail. 2018;6(12):975–982
      OpenUrlAbstract/FREE Full Text
      1. Hegde SM,
      2. Claggett B,
      3. Shah AM, et al
      . Physical activity and prognosis in the TOPCAT trial (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist). Circulation. 2017;136(11):982–992
      OpenUrlAbstract/FREE Full Text
      1. Brinker SK,
      2. Pandey A,
      3. Ayers CR, et al
      . Association of cardiorespiratory fitness with left ventricular remodeling and diastolic function: the Cooper Center Longitudinal Study. JACC Heart Fail. 2014;2(3):238–246
      OpenUrlAbstract/FREE Full Text
    33. ↵
      1. Pandey A,
      2. LaMonte M,
      3. Klein L, et al
      . Relationship between physical activity, body mass index, and risk of heart failure. J Am Coll Cardiol. 2017;69(9):1129–1142
      OpenUrlFREE Full Text
    34. ↵
      1. Pandey A,
      2. Allen NB,
      3. Ayers C, et al
      . Fitness in young adulthood and long-term cardiac structure and function: the CARDIA study. JACC Heart Fail. 2017;5(5):347–355
      OpenUrlAbstract/FREE Full Text
    35. ↵
      1. Nadruz W,
      2. Shah AM,
      3. Solomon SD
      . Diastolic dysfunction and hypertension. Med Clin North Am. 2017;101(1):7–17
      OpenUrl
    36. ↵
      1. Andersen LB,
      2. Wedderkopp N,
      3. Hansen HS,
      4. Cooper AR,
      5. Froberg K
      . Biological cardiovascular risk factors cluster in Danish children and adolescents: the European Youth Heart Study. Prev Med. 2003;37(4):363–367
      OpenUrlCrossRefPubMed
    37. ↵
      1. Barlow SE
      ; Expert Committee. Expert Committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report.  Pediatrics. 2007;120(suppl 4):S164–S192
      OpenUrlAbstract/FREE Full Text
    38. ↵
      1. Halley CM,
      2. Houghtaling PL,
      3. Khalil MK,
      4. Thomas JD,
      5. Jaber WA
      . Mortality rate in patients with diastolic dysfunction and normal systolic function. Arch Intern Med. 2011;171(12):1082–1087
      OpenUrlCrossRefPubMed
    39. ↵
      1. Kane GC,
      2. Karon BL,
      3. Mahoney DW, et al
      . Progression of left ventricular diastolic dysfunction and risk of heart failure. JAMA. 2011;306(8):856–863
      OpenUrlCrossRefPubMed
    • Copyright © 2021 by the American Academy of Pediatrics
    PreviousNext
    Back to top

    Advertising Disclaimer »

    In this issue

    Pediatrics
    Vol. 147, Issue 3
    1 Mar 2021
    • Table of Contents
    • Index by author
    View this article with LENS
    PreviousNext
    Email Article

    Thank you for your interest in spreading the word on American Academy of Pediatrics.

    NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

    Enter multiple addresses on separate lines or separate them with commas.
    Cardiovascular Risk Factors in Childhood and Left Ventricular Diastolic Function in Adulthood
    (Your Name) has sent you a message from American Academy of Pediatrics
    (Your Name) thought you would like to see the American Academy of Pediatrics web site.
    CAPTCHA
    This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
    Request Permissions
    Article Alerts
    Log in
    You will be redirected to aap.org to login or to create your account.
    Or Sign In to Email Alerts with your Email Address
    Citation Tools
    Cardiovascular Risk Factors in Childhood and Left Ventricular Diastolic Function in Adulthood
    Jarkko S. Heiskanen, Saku Ruohonen, Suvi P. Rovio, Katja Pahkala, Ville Kytö, Mika Kähönen, Terho Lehtimäki, Jorma S.A. Viikari, Markus Juonala, Tomi Laitinen, Päivi Tossavainen, Eero Jokinen, Nina Hutri-Kähönen, Olli T. Raitakari
    Pediatrics Mar 2021, 147 (3) e2020016691; DOI: 10.1542/peds.2020-016691

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
    Share
    Cardiovascular Risk Factors in Childhood and Left Ventricular Diastolic Function in Adulthood
    Jarkko S. Heiskanen, Saku Ruohonen, Suvi P. Rovio, Katja Pahkala, Ville Kytö, Mika Kähönen, Terho Lehtimäki, Jorma S.A. Viikari, Markus Juonala, Tomi Laitinen, Päivi Tossavainen, Eero Jokinen, Nina Hutri-Kähönen, Olli T. Raitakari
    Pediatrics Mar 2021, 147 (3) e2020016691; DOI: 10.1542/peds.2020-016691
    del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
    Print
    Download PDF
    Insight Alerts
    • Table of Contents

    Jump to section

    • Article
      • Abstract
      • Methods
      • Results
      • Discussion
      • Conclusions
      • Acknowledgments
      • Footnotes
      • References
    • Figures & Data
    • Supplemental
    • Info & Metrics
    • Comments

    Related Articles

    • PubMed
    • Google Scholar

    Cited By...

    • No citing articles found.
    • Google Scholar

    More in this TOC Section

    • Relational, Emotional, and Pragmatic Attributes of Ethics Consultations at a Children’s Hospital
    • Verbal Autopsies for Out-of-Hospital Infant Deaths in Zambia
    • Uncertainty at the Limits of Viability: A Qualitative Study of Antenatal Consultations
    Show more Articles

    Similar Articles

    Subjects

    • Preventive Medicine
      • Preventive Medicine
    • Infectious Disease
      • Epidemiology
    • Cardiology
      • Cardiology
    • Journal Info
    • Editorial Board
    • Editorial Policies
    • Overview
    • Licensing Information
    • Authors/Reviewers
    • Author Guidelines
    • Submit My Manuscript
    • Open Access
    • Reviewer Guidelines
    • Librarians
    • Institutional Subscriptions
    • Usage Stats
    • Support
    • Contact Us
    • Subscribe
    • Resources
    • Media Kit
    • About
    • International Access
    • Terms of Use
    • Privacy Statement
    • FAQ
    • AAP.org
    • shopAAP
    • Follow American Academy of Pediatrics on Instagram
    • Visit American Academy of Pediatrics on Facebook
    • Follow American Academy of Pediatrics on Twitter
    • Follow American Academy of Pediatrics on Youtube
    • RSS
    American Academy of Pediatrics

    © 2021 American Academy of Pediatrics