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nly
Exercise capacity and muscle strength and risk of vascular
disease and arrhythmias: A cohort study of 1.1 million young men
Journal: BMJ
Manuscript ID: BMJ.2015.025407
Article Type: Research
BMJ Journal: BMJ
Date Submitted by the Author: 12-Feb-2015
Complete List of Authors: Andersen, Kasper; Uppsala University, Department of Medical Sciences Rasmussen, Finn; Karolinska Institutet, Public Health Held, Claes; Uppsala University, Uppsala Clinical Research Center Neovius, Martin; Karolinska Institutet, Department of Medicine Tynelius, Per; Karolinska Institutet, Public Health Sundström, Johan; Uppsala University, Department of Medical Sciences
Keywords: Arrhythmias, Vascular Disease, Exercise Capacity, Muscle Strength, Epidemiology, Cohort Study
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nlyExercise capacity and muscle strength
and risk of vascular disease and
arrhythmias: A cohort study of 1.1 million
young men
Kasper Andersen (KA), PhD1
Finn Rasmussen (FR), PhD3
Claes Held (CH), PhD1
Martin Neovius (MN), PhD2
Per Tynelius (PT), MSc3
Johan Sundström (JS), PhD1
1Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University, Uppsala,
Sweden
2Clinical Epidemiology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
3Child and Adolescent Public Health Epidemiology Unit, Department of Public Health Sciences,
Karolinska Institutet, Stockholm, Sweden
Corresponding author:
Kasper Andersen, MD PhD
Department of Medical Sciences
Entrance 40, 5th floor
Uppsala University Hospital
SE-751 85 Uppsala, Sweden
Cell: +46 7 61680671
Fax: +46 18 509297
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nlyAbstract
Objective: To investigate associations of exercise capacity and muscle strength to risk of vascular
disease and arrhythmias.
Design: Cohort study
Setting: General population
Participants: 1.1 million Swedish men who participated in mandatory military conscription between
1972 and 1995 at a median age of 18.2 years.
Main Outcomes: Associations between exercise capacity and muscle strength to risk of vascular
disease in total and in subgroups (ischemic heart disease, heart failure, stroke and cardiovascular
death) and arrhythmias in total and in subgroups (atrial fibrillation/flutter, bradyarrhythmias, supra
ventricular tachycardias and ventricular arrhythmias/sudden cardiac death)
Results: During a median follow-up of 26.3 years, 26,088 vascular disease events and 17,312
arrhythmia events occurred. Exercise capacity was inversely associated with risk of vascular disease
and subgroups (ischemic heart disease, heart failure, stroke and cardiovascular death). Also muscle
strength was inversely associated with vascular disease risk, driven by associations of higher muscle
strength with lower risk of heart failure and cardiovascular death. Exercise capacity was associated
with risk of arrhythmias in a U-shaped fashion, driven by a direct association with risk of atrial
fibrillation and a U-shaped association with bradyarrhythmias. Higher muscle strength was
associated with lower risk of arrhythmias, specifically lower risk of bradyarrhythmias and ventricular
arrhythmias. The combination of high exercise capacity/high muscle strength was associated with a
hazard ratio (HR) of 0.67 (95% confidence interval 0.65-0.70) for vascular events and 0.92 (0.88-0.97)
for arrhythmias compared to the combination of low exercise capacity/low muscle strength.
Conclusions: Exercise capacity and muscle strength in late adolescence are independently and jointly
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nlyassociated with long-term risk of vascular disease and arrhythmias. The health-benefit of lower risk
of vascular events with higher exercise capacity was not outweighed by higher risk of arrhythmias.
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nlyCopyright Statement
“The Corresponding Author has the right to grant on behalf of all authors and does grant on behalf of
all authors, a worldwide license to the Publishers and its licensees in perpetuity, in all forms, formats
and media (whether known now or created in the future), to i) publish, reproduce, distribute, display
and store the Contribution, ii) translate the Contribution into other languages, create adaptations,
reprints, include within collections and create summaries, extracts and/or, abstracts of the
Contribution, iii) create any other derivative work(s) based on the Contribution, iv) to exploit all
subsidiary rights in the Contribution, v) the inclusion of electronic links from the Contribution to third
party material where-ever it may be located; and, vi) licence any third party to do any or all of the
above.”
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nlyIntroduction
Although prevention and treatment of cardiovascular diseases have improved for decades, their
share as causes of death is increasing due to the increased longevity globally.[1] The incidence of
arrhythmias increases with age, and increased longevity has increased also the burden of these
diseases.[2]
While physical activity and high exercise capacity prevents vascular disease,[3-6] strenuous exercise
may induce life-threatening ventricular arrhythmias in athletes with pre-existing heart disease.[7]
Further, an increased risk of atrial fibrillation and bradyarrhythmias has been observed in athletes.[8-
12] Several lines of evidence point towards a causal role of exercise for the development of
arrhythmias, including substrate, modulator, and trigger mechanisms.[8] It is unknown if different
modes of training, for example endurance-type and strength-type training, differ in their potential
for causing arrhythmias, or their preventive effect on vascular disease.
We hypothesized that exercise capacity and muscle strength are each directly related to the risk of
subsequent arrhythmias and inversely related to the risk of subsequent vascular disease. Many
previous studies of such associations have been conducted in middle-aged or elderly people, with a
high risk of bias due to reverse causality. In order to minimize such bias, we investigated these
associations in a prospective cohort of 1.1 million Swedish young men examined at mandatory
military conscription in 1972-1995.
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nlyMethods
Sample
This study used data from all Swedish males who underwent conscription between August 1st
1972
and December 31st
1995. During that period, military conscription for men was mandatory in
Sweden, and only a small fraction (2-3%) did not undergo conscription (mainly because of severe
disease or handicap). The conscriptions were performed in a standardized fashion, and a total of
1,257,032 men were enrolled in the cohort. The conscripts had a median age of 18.2 years (10th
percentile 17.8; 90th
percentile 18.9). We excluded 17,316 men with a history of prior vascular
disease (ICD 10 code I.00-99 or similar ICD-8/ICD-9 code). Men without data on any of the variables
exercise capacity, muscle strength, weight, height, systolic or diastolic blood pressure were excluded
from the analyses (n=64,395; 0,5%). Further, all observations with missing data on the key variables
maximal exercise capacity (n=31,482), muscle strength (5,206), and conscription date (11,734) were
excluded (total n=48,422; 0,4%). Since the number of observations with any missing data after this
procedure was only 1.2% and assumed to be mainly due to administrative reasons, we decided to
limit all analyses to observations with complete data. This rendered a sample of 1,126,899 individuals
available for analysis.
Baseline examinations
The available protocol from 2001 is similar to the examination years during the study period.
Maximal exercise capacity was estimated by use of an ergometer bicycle test. After 5 min of
submaximal bicycling at 60-70 rpm, the load was gradually increased by 25W per min and the
conscript continued to bicycle to exhaustion. If the conscript did not obtain a maximal heart rate
>180 bpm, the instructor decided if the conscript should be re-tested. We found a minor shift in the
distribution of maximal exercise capacity in August 1984 (probably due to a minor change of
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nlyexamination protocol) and the observations in groups before and after August 1984 were
standardized to the whole sample mean and standard deviation. Of the available measures of muscle
strength, we used handgrip strength measured by a hand dynamometer, which has shown good
correlation with lean body mass[13-15], has previously been investigated in relation to risk of
cardiovascular disease,[16] and is the strength measure least correlated with body weight in this
cohort. Height and weight were measured, and after five to ten minutes of rest, supine systolic and
diastolic blood pressure was measured.
Follow-up and outcome parameters
Using the unique Swedish national registration number, we linked the Military Service Conscription
Register to the Swedish National Patient Register, the Swedish Causes of Death Register and the
Statistics Sweden registers of emigration and education level. All registers cover the whole
population. Participants were followed until December 31st
2010 and were considered at risk until
the first of 1) the outcome under study, 2) death, 3) emigration, or 4) end of follow-up.
Using the registries, we defined two primary outcomes: Vascular disease (all ICD-codes mentioned in
subgroup outcomes) and arrhythmia (all ICD-codes mentioned in subgroup outcomes, plus ICD 10
I47.9). For vascular disease the subgroup outcomes were 1) ischemic heart disease (ICD-10: I20.0-
I25.9), 2) heart failure (ICD-10: I11.0; I50.0-I50.9), 3) stroke (ICD-10: I60.0-I60.9, I61.0-I61.9; I63.0-
I63.9; I64.0-I64.9) and 4) cardiovascular death (ICD-10: I00-I99). For arrhythmias, the subgroup
outcomes were 1) atrial fibrillation/flutter (ICD-10: I48.9), 2) bradyarrhythmias (ICD-10 I44.1; I44.2;
I45.2; I45.3; I45.9; I49.5), 3) supraventricular arrhythmias (I45.6; I47.1) and 4) ventricular
arrhythmias/sudden cardiac death (I46.0; I46.1, I46.9; I47.0; I47.2; I49.0; R96.0). Corresponding
codes for ICD-9 and ICD-8 were used. For a complete list of ICD-codes, see Supplementary Document
1.
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nlyStatistical analyses
We used Cox proportional hazards models to examine the associations of the exposures muscle
strength and exercise capacity with risk of arrhythmias or vascular disease; each outcome in a
separate model. We assessed the proportional hazards assumptions for all outcomes by inspecting
Nelson-Aalen plots.
Using directed acyclic graphs (Supplementary Figure 1), two models were identified to evaluate total
and direct effects: A) Total effect: Adjusted for age, conscription date, region, education level, height
and muscle strength/exercise capacity (muscle strength adjusted for exercise capacity, and vice
versa) B) Direct effect: As model A, additionally adjusted for systolic and diastolic blood pressure,
weight and ischemic heart disease (the latter for arrhythmia outcomes only).
In order to assess the nature of the associations, we used multivariable regression spline models (a
piecewise fitting of polynomial equations) with up to four degrees of freedom allowed for the
exposure variable, body weight and height (and one degree of freedom for the other covariates).
Knots were placed at the 25th, 50th and 75th centiles. We investigated interactions between the two
main exposures, and between them and the continuous baseline variables using the general
multivariable fractional interaction approach.[17] We investigated interactions between the main
exposures and categorical covariates using multiplicative factors and likelihood ratio tests. After
inspection of all the statistically significant interactions (Supplementary Figures 2,3 and 4), these
were regarded as clinically irrelevant and produced by the large sample size. In addition to these
interaction analyses, we described joint effects of exercise capacity and muscle strength by
constructing a four-group variable with combinations of maximal exercise capacity and muscle
strength dichotomized by the median.
In order to describe the incidence of outcomes in absolute terms, we also analysed risk of outcomes
by fifths of exposures. Stata 13 (StataCorp LP, USA) was used for all calculations, and two-tailed 95%
confidence intervals (CI) were used.
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nlyResults
The participants were followed until a median age of 44.6 years (median time at risk 26.3 years). This
resulted in 29.8 million person-years at risk. During follow-up in total 33,089 persons died. Baseline
characteristics are shown in Table 1.
Vascular disease
During follow-up, we identified 26,088 hospitalizations for vascular disease (ischemic heart disease:
12,188; heart failure: 3,949; stroke: 7,350; cardiovascular death: 5,873; a person could contribute to
more than one subgroup endpoint). Cumulative incidence of vascular disease is shown in Figure 1.
We observed an inverse association of exercise capacity with risk of vascular disease, with a more
pronounced association after adjusting for blood pressure and weight (Figure 2, Supplementary
Table 1 and Supplementary Figure 5). The association was of similar strength with all of the subgroup
endpoints; ischemic heart disease, heart failure, stroke and cardiovascular death (Figure 3,
Supplementary Table 2 and Supplementary Figure 5).
Similarly, we found an inverse association of muscle strength with the risk of vascular disease,
although of smaller magnitude than that of exercise capacity (Figure 2). Again, associations were
more pronounced in models adjusting for blood pressure and weight than in those without these
covariates (Supplementary table 1 and 2 and Supplementary Figure 5). The associations with
cardiovascular death and heart failure were stronger than those with stroke and ischemic heart
disease (Figure 3 and Supplementary Table 1).
There was no evidence of a deviation from a multiplicative effect of exercise capacity and muscle
strength; their joint effects are shown in Figure 1 and Table 2. The combination of high exercise
capacity/high muscle strength was associated with a 33% lower risk of vascular events than the
combination of low exercise capacity/low muscle strength (Table 2).
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nlyArrhythmias
During follow-up, we identified 17,312 arrhythmia events (atrial fibrillation/flutter: 9,668;
bradyarrhythmias 1,384; supraventricular tachycardias: 3,278; ventricular arrhythmias/sudden
cardiac deaths 1,630; unspecified arrhythmias 1,352). Cumulative incidence of arrhythmias is shown
in Figure 1, which indicates that arrhythmias on average occurred at a younger age than vascular
disease events. We found a U-shaped association of exercise capacity with risk of arrhythmias. The
association was similar after additionally adjusting for blood pressure, weight and ischemic heart
disease (Figure 2, Supplementary Table 1 and Supplementary Figure 6). This pattern was driven by an
association of higher exercise capacity with higher risk of atrial fibrillation/flutter and a U-shaped
association with bradyarrhythmias (Figure 4 and Supplementary Table 3). No associations of exercise
capacity with supraventricular arrhythmias or ventricular arrhythmias/sudden cardiac deaths were
found (Figure 4 and Supplementary Table 3).
Higher muscle strength was associated with lower risk of arrhythmias. This association was more
pronounced after adjusting for weight, blood pressure and ischemic heart disease (Supplementary
table 1 and 3 and Supplementary Figure 6). The main associations were of higher muscle strength
with lower risk of bradyarrhythmia and ventricular arrhythmias/cardiac arrest (Figure 4 and
Supplementary Table 2). No associations of muscle strength with atrial fibrillation/flutter or
supraventricular arrhythmias were found.
There was no evidence of a deviation from a multiplicative effect of exercise capacity and muscle
strength; their joint effects are shown in Table 2. The combination of high exercise capacity/high
muscle strength was associated with an 8% lower risk of arrhythmias than the combination of low
exercise capacity/low muscle strength (Table 2).
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nlyDiscussion
In this cohort of 1.1 million men, we observed inverse independent associations of exercise capacity
and muscle strength in late adolescence with risk of subsequent vascular disease. Additionally, there
was a U-shaped association of exercise capacity with arrhythmias. The joint associations of high
exercise capacity/high muscle strength compared to low exercise capacity/low muscle strength with
lower risk of vascular disease were pronounced, while weak joint associations with risk of
arrhythmias were observed.
The most obvious strength of this study is the very large number of participants almost including the
whole Swedish male population during 25 years. Further, the cohort is unique by including directly
measured exercise capacity and muscle strength in a very large population. By use of the unique
national registration number and the population-based registers, the loss of follow-up is limited to
emigrated persons. We only used National Patient Register data on hospitalisations, and the
accuracy of those diagnoses is good.[18] The low age of the participants at inclusion minimizes the
risk of reverse causation by pre-existing cardiac disease, but on the other hand limits the follow-up to
early events. Some limitations of the study are worth noting. Exercise capacity and muscle strength
were only measured at the time of conscription, and the applicability of those measures to exposures
before and after the conscription are uncertain; any changes in those measures would tend to bias
findings towards the null. It is possible that other factors linked to the exposure (e.g. genetic factors
or exercise factors in childhood) rather than the amount of exercise in later life is contributing to the
associations. Of note, studies suggest that physically active children also are more active as
adults[19] and changes in level of physical activity later in life affect risk of cardiovascular events.[20
21] Another issue is that both exercise capacity and muscle strength were related to body height and
weight. Very few were overweight or obese in this cohort,[22] suggesting that this association may
be explained by a large contribution of muscle mass rather than adipose tissue. The causal pathways
may include increased muscle strength indicating a large muscle mass leading to higher body weight;
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nlybut also increased adiposity leading to higher muscle mass because of a higher weight load to carry.
Hence, body weight could be a mediating factor as well as a confounder. This could explain the
augmenting effect of additionally adjusting for body weight and blood pressure on the associations
of muscle strength with vascular disease. By using handgrip as estimate of muscle strength, which
was the available strength measure least correlated with body weight, we have minimized that
effect. We also used splines to adjust for both weight and height. Lack of some potential confounding
variables, including smoking, may lead to residual confounding. Smoking status was unknown for the
majority of this cohort,[22] but education level was included in our models and accounts well for
health behaviour. Because the cohort only includes 18-year-old men of mainly Caucasian origin,
generalizability to women, other races or age groups is unknown.
The preventive effect of exercise capacity against both all-cause and cardiovascular mortality is well
known among middle-aged and elderly,[6] but the association of exercise capacity in youth with risk
of vascular disease events has to our knowledge not been explored before. The relative contributions
of exercise capacity and muscle strength to risk of vascular events are also hitherto unknown. The
coherent, strong, graded associations that we observed with several vascular disease subgroups
support a causal association. Several mechanisms have been proposed, including better insulin
sensitivity, lipid profile, body composition, blood pressure and autonomic balance.[6] Further, in
children and adolescents, cardiorespiratory fitness has been related to lower incidence of obesity,
better insulin resistance and lower incidence of cardiovascular risk factors.[23-25] Several studies
have also shown associations of higher muscle strength with lower risk of all-cause mortality and
vascular disease.[16] It has been speculated that the effect is mediated through a lower incidence of
abdominal adiposity, weight gain, insulin resistance, metabolic syndrome, hypertension and chronic
inflammation.[16 26] Previous studies in these adolescents[27 28] did not account for the interplay
between exercise capacity and muscle strength or assess non-linear associations. The associations of
exercise capacity and muscle strength with risk of arrhythmias are important. Endurance trained
athletes with underlying cardiac disease have a higher risk of potentially fatal arrhythmias during
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nlysports activity.[7] Further, athletes are at higher risk of atrial fibrillation and bradyarrhythmias,[8-12]
which might be related to increased pulmonary vein ectopy, vagal tone, pressure/volume load and
atrial stretch, dilatation and fibrosis, alone or in combination.[8] Most previous studies are small
case-control studies comparing active athletes with sedentary persons, and lack objective measures
of cardiorespiratory fitness. The present study extends those observations to the whole spectrum of
cardiorespiratory fitness, using a direct measure of exercise capacity. Of note, in order to only
capture clinically relevant bradyarrhythmias (potentially requiring a pacemaker), sinus bradycardia
and grade I atrioventricular block were not part of this outcome. Importantly, although the present
study found an association of exercise capacity with incidence of atrial fibrillation/flutter that did not
translate into an increased risk of stroke. Further, we did not find a higher risk of ventricular
arrhythmias with higher exercise capacity. The similarity of the independent associations of exercise
capacity and muscle strength with vascular disease is noteworthy. This may indicate that different
modes of training trigger the same or similar biological responses; or that the two tests capture
different aspects of similarly trained people because of factors unrelated to their training. Seemingly
disputing the former interpretation is the observation of different cardiac adaptations in athletes of
different sports.[29] These mechanisms may be related to risk of arrhythmias, but other mechanisms
than cardiac geometry may be more important for atherosclerotic vascular disease, as outlined
above.
In conclusion, higher exercise capacity and higher muscle strength in late adolescence were
independently associated with lower risk of subsequent vascular disease in this large cohort of young
men. We observed a U-shaped association of exercise capacity with arrhythmias, driven by a direct
association with risk of atrial fibrillation/flutter and a U-shaped association with bradyarrhythmias.
Higher muscle strength was associated with lower risk of arrhythmias, driven by a lower risk of
bradyarrhythmias and ventricular arrhythmias. The combined associations of high exercise
capacity/high muscle strength versus low exercise capacity/low muscle strength with lower risk of
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nlyvascular disease were prominent. The lower risk of vascular events with higher exercise capacity did
not appear to be outweighed by higher risk of arrhythmias.
Contributors: KA and JS conceived and coordinated the investigations. KA wrote the first draft of the
manuscript. FR and PS were responsible for the preparation of data. KA, FR, CH, MN, PT and JS
undertook revisions and contributed intellectually to the development of this Paper.
Ethical approval: The study protocol was approved by the Regional Ethical Review Board at
Karolinska Institutet, Stockholm, Sweden.
Funding: Dr Sundström was funded by the Swedish Research Council (grant 2010-1078). Kasper
Andersen received a grant from the Geriatric Fund, Sweden.
Competing interests: All authors have completed the ICMJE uniform disclosure form at
www.icmje.org/coi_disclosure.pdf and declare: no support from any organisation for the submitted
work; no financial relationships with any organisations that might have an interest in the submitted
work in the previous three years; no other relationships or activities that could appear to have
influenced the submitted work. JS and MN are on an advisory board for Itrim and MN reports
personal fees from Strategic Health Resources, grants and personal fees from Pfizer, grants from
Astra Zeneca, outside the submitted work.
Data sharing: Additional data regarding technical details, statistical code, and derivative data are
available from the principal investigator at [email protected]. Data access for further
analyses is possible through direct collaborative agreement or through locally managed access
arranged through the study’s principal investigator. Consent was not obtained but the presented
data are anonymised and risk of identification is low
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nlyTransparency: The lead author (the manuscript’s guarantor) affirms that the manuscript is an honest,
accurate, and transparent account of the study being reported; that no important aspects of the
study have been omitted; and that any discrepancies from the study as planned (and, if relevant,
registered) have been explained.
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nly Reference List
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nly11. Baldesberger S, Bauersfeld U, Candinas R, et al. Sinus node disease and arrhythmias in the long-
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13. Heimburger O, Qureshi AR, Blaner WS, et al. Hand-grip muscle strength, lean body mass, and
plasma proteins as markers of nutritional status in patients with chronic renal failure close to
start of dialysis therapy. American journal of kidney diseases : the official journal of the
National Kidney Foundation 2000;36(6):1213-25 doi: 10.1053/ajkd.2000.19837[published
Online First: Epub Date]|.
14. Shin H, Liu PY, Panton LB, et al. Physical performance in relation to body composition and bone
mineral density in healthy, overweight, and obese postmenopausal women. Journal of geriatric
physical therapy 2014;37(1):7-16 doi: 10.1519/JPT.0b013e31828af203[published Online First:
Epub Date]|.
15. Taaffe DR, Cauley JA, Danielson M, et al. Race and sex effects on the association between muscle
strength, soft tissue, and bone mineral density in healthy elders: the Health, Aging, and Body
Composition Study. Journal of bone and mineral research : the official journal of the American
Society for Bone and Mineral Research 2001;16(7):1343-52 doi:
10.1359/jbmr.2001.16.7.1343[published Online First: Epub Date]|.
16. Artero EG, Lee DC, Lavie CJ, et al. Effects of muscular strength on cardiovascular risk factors and
prognosis. Journal of cardiopulmonary rehabilitation and prevention 2012;32(6):351-8 doi:
10.1097/HCR.0b013e3182642688[published Online First: Epub Date]|.
17. Royston P, Sauerbrei W. A new approach to modelling interactions between treatment and
continuous covariates in clinical trials by using fractional polynomials. Statistics in medicine
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18. Ludvigsson JF, Andersson E, Ekbom A, et al. External review and validation of the Swedish national
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19. Telama R. Tracking of physical activity from childhood to adulthood: a review. Obesity facts
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20. Erikssen G, Liestol K, Bjornholt J, et al. Changes in physical fitness and changes in mortality. Lancet
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21. Blair SN, Kohl HW, 3rd, Barlow CE, et al. Changes in physical fitness and all-cause mortality. A
prospective study of healthy and unhealthy men. JAMA : the journal of the American Medical
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22. Neovius M, Sundstrom J, Rasmussen F. Combined effects of overweight and smoking in late
adolescence on subsequent mortality: nationwide cohort study. Bmj 2009;338:b496 doi:
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23. Ortega FB, Ruiz JR, Castillo MJ, et al. Physical fitness in childhood and adolescence: a powerful
marker of health. International journal of obesity 2008;32(1):1-11 doi:
10.1038/sj.ijo.0803774[published Online First: Epub Date]|.
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nly24. Lee S, Bacha F, Gungor N, et al. Cardiorespiratory fitness in youth: relationship to insulin
sensitivity and beta-cell function. Obesity 2006;14(9):1579-85 doi:
10.1038/oby.2006.182[published Online First: Epub Date]|.
25. Berman LJ, Weigensberg MJ, Spruijt-Metz D. Physical activity is related to insulin sensitivity in
children and adolescents, independent of adiposity: a review of the literature.
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10.1002/dmrr.2292[published Online First: Epub Date]|.
26. Andersen K, Pedersen BK. The role of inflammation in vascular insulin resistance with focus on IL-
6. Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et
metabolisme 2008;40(9):635-9 doi: 10.1055/s-0028-1083810[published Online First: Epub
Date]|.
27. Silventoinen K, Magnusson PK, Tynelius P, et al. Association of body size and muscle strength with
incidence of coronary heart disease and cerebrovascular diseases: a population-based cohort
study of one million Swedish men. International journal of epidemiology 2009;38(1):110-8 doi:
10.1093/ije/dyn231[published Online First: Epub Date]|.
28. Ortega FB, Silventoinen K, Tynelius P, et al. Muscular strength in male adolescents and premature
death: cohort study of one million participants. Bmj 2012;345:e7279 doi:
10.1136/bmj.e7279[published Online First: Epub Date]|.
29. Pluim BM, Zwinderman AH, van der Laarse A, et al. The athlete's heart. A meta-analysis of cardiac
structure and function. Circulation 2000;101(3):336-44
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nlyTable 1 – Baseline characteristics
Total Sample
(n= 1,122,255)
Low exercise
capacity/Low
muscle strength
(n=326,462)
Low exercise
capacity/High
muscle strength
(n=246,767)
High exercise
capacity/Low
muscle strength
(n=218,156)
High exercise
capacity/High
muscle strength
(n=330,870)
Age at conscription 18.3 (0.7) 18.3 (0.8) 18.4 (0.9) 18.2 (0.6) 18.3 (0.6)
Height (cm) 179 (7) 176 (6) 179 (6) 178(6) 181 (6)
Weight (kg) 70 (10) 64 (9) 70(10) 69 (8) 75 (9)
Muscle strength -
Handgrip (N)
616 (98) 529 (57) 681 (62) 547 (47) 701 (68)
Exercise capacity (w) 261 (47) 220 (26) 228 (22) 292 (29) 301 (34)
Systolic Blood
pressure
129 (11) 127 (11) 128 (11) 129 (11) 130 (11)
Diastolic blood
pressure
67 (10) 67 (10) 68 (10) 66 (11) 66 (10)
Educational level*
Primary school <
9 years
0.5% 0.7% 0.8% 0.2% 0.3%
Primary school 9
years
12.2% 15.0% 18.8% 6.6% 8.7%
Secondary school
< 2 years
37.0% 39.3% 44.5% 29.8% 34.5%
Secondary school
2-3 years
15.8% 15.6% 13.8% 17.1% 16.5%
Higher education
> 2 years
15.1% 13.1% 11.4% 18.5% 17.8%
Higher education
> 3years
17.8% 15.1% 10.0% 25.6% 20.7%
PhD 1.5% 1.3% 0.7% 2.3% 1.6%
Data are Mean (SD) or %. * Conscripts highest registered educational level of the year 2010.
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nlyTable 2 – Incidence rates and cox proportional hazard ratios (95%CI) for vascular disease and
arrhythmias, comparing joint groups of maximal exercise capacity and muscle strength defined as
high/low by median values.
Low exercise
capacity/Low
muscle strength
Low exercise
capacity/High
muscle strength
High exercise
capacity/Low
muscle strength
High exercise
capacity/High
muscle strength
Number at risk 324,416 223,530 216,716 328,643
Vascular disease
Number of events 9,512 6,798 3,630 5,715
Incidence ratea 10.9 (10.7-11.2) 11.0 (10.7-11.2) 6.6 (6.4-6.8) 6.8 (6.6-7.0)
Model A [HR (95% CI)]b 1.00 (ref) 0.96 (0.93-0.99) 0.84 (0.81-0.87) 0.85 (0.82-0.88)
Model B [HR (95% CI)]c 1.00 (ref) 0.84 (0.81-0.87) 0.75 (0.73-0.79) 0.67 (0.65-0.70)
Arrhythmias
Number of events 4,867 4,329 2,810 5,092
Incidence ratea 5.6 (5.4-5.8) 6.4 (6.2-6.6) 5.1 (4.9-5.3) 6.1 (5.9-6.3)
Model A [HR (95% CI)]b 1.00 (ref) 0.99 (0.95-1.03) 0.99 (0.95-1.04) 1.05 (1.01-1.10)
Model B [HR (95% CI)]c 1.00 (ref) 0.91 (0.87-0.95) 0.95 (0.90-1.00) 0.92 (0.88-0.97)
HR: hazard ratio; 95% CI: 95% confidence interval
a per 10,000 person-years at risk
b Adjusted for age, conscription date, region, education level and height
c Additionally adjusted for systolic and diastolic blood pressure, mass and ischemic heart disease (for arrhythmia outcomes
only)
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nlyFigure Legends
Figure 1 - Cumulative hazard estimates of vascular disease and arrhythmias by joint groups of
exercise capacity and muscle strength defined as high/low by median values. E: Exercise capacity S:
Muscle Strength
Figure 2 - Relations of exercise capacity and muscle strength to risk of vascular disease and
arrhythmias. Solid line represents relative hazard and dashed lines are 95% confidence interval limits;
from multivariable regression spline Cox proportional hazards. Model B adjusted for age,
conscription date, region, education level, height and muscle strength/exercise capacity (muscle
strength adjusted for exercise capacity, and vice versa) systolic and diastolic blood pressure, weight
and ischemic heart disease (for arrhythmia outcomes only). Only observations between 1 and 99
percentiles are shown.
Figure 3 - Relations of exercise capacity and muscle strength to risk of subgroups of vascular disease.
Solid line represents relative hazard and dashed lines are 95% confidence interval limits, from
multivariable regression spline Cox proportional hazards Model B adjusted for age, conscription
date, region, education level, height and muscle strength/exercise capacity (muscle strength
adjusted for exercise capacity, and vice versa) systolic and diastolic blood pressure and weight. Only
observations between 1 and 99 percentiles are shown.
Figure 4 - Relations of exercise capacity and muscle strength to risk of subgroups of arrhythmias.
Solid line represents relative hazard and dashed lines are 95% confidence interval limits; from
multivariable regression spline Cox proportional hazards Model B Adjusted for age, conscription
date, region, education level, height and muscle strength/exercise capacity (muscle strength
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nlyadjusted for exercise capacity, and vice versa) systolic and diastolic blood pressure, weight and
ischemic heart disease. Only observations between 1 and 99 percentiles are shown.
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nlyFigure 1
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nlyFigure 2
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nlyFigure 3
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nlyFigure 4
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nly
Arrhythmias
Vascular disease
Supplementary figure 1 - Directed acyclic graphs of suggested causal relations of exercise capacity to arrhythmias and vascular disease
Minimal sufficient adjust-ment sets for estimating the total effect of Exercise ca-pacity on Vascular disease:
Region/Age/Date, Educa-tion, Height,
Minimal sufficient adjust-ment sets for estimating the direct effect of Exercise ca-pacity on Vascular disease:
Region/Age/Date, Edu-cation, Height, Weight, Blood Pressure and Muscle Strength
Minimal sufficient adjust-ment sets for estimating the total effect of Exercise capacity on Arrhythmias:
Region/Age/Date, Educa-tion, Height,
Minimal sufficient adjust-ment sets for estimating the direct effect of Exercise capacity on Arrhythmias:
Region/Age/Date, Educa-tion, Height, Weight, Blood Pressure, Muscle Strength and Ischemic heart diseases (IHD)
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Supplementary Figure 2 - Relations of exercise capacity to risk of vascular disease by quartiles of weight. Solid line represents relative hazard and dashed lines are 95% confidence interval limits; from multivariable regression spline Cox proportional haz-ards (adjusted for age, conscription date, region, educational level, height, muscle strength, systolic and diastolic blood pressure). Only observations between 1 and 99 percentiles are shown.
12
34
Rel
ativ
e ha
zard
150 200 250 300 350 400
12
34
Rel
ativ
e ha
zard
150 200 250 300 350 400
1st quartile of weight 2nd quartile of weight
3rd quartile of weight 4th quartile of weight
Exercise capacity (W) Exercise capacity (W)
12
34
Rel
ativ
e ha
zard
150 200 250 300 350 400
12
34
Rel
ativ
e ha
zard
150 200 250 300 350 400
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Supplementary Figure 3 - Relations of muscle strength to risk of arrhythmias by quartiles of height. Solid line represents relative hazard and dashed lines are 95% confidence interval limits; from multivariable regression spline Cox proportional hazards (ad-justed for age, conscription date, region, educational level, maximal exercise capacity, systolic and diastolic blood pressure and ischemic heart disease). Only observations between 1 and 99 percentiles are shown.
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
1st quartile of height 2nd quartile of height
3rd quartile of height 4th quartile of height
Muscle strength (N) Muscle strength (N)
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
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Supplementary Figure 4 - Relations of muscle strength to risk of arrhythmias by educational level. Solid line represents relative hazard and dashed lines are 95% confidence interval limits; from multivariable regression spline Cox proportional hazards (ad-justed for age, conscription date, region, educational level, maximal exercise capacity, systolic and diastolic blood pressure and ischemic heart disease). Only observations between 1 and 99 percentiles are shown.
02
46
Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
12
34
Rel
ativ
e ha
zard
400 500 600 700 800 900
Exercise capacity (W) Exercise capacity (W)
Primary school < 9 years
Primary school 9 years
Secondary school 2-3 years Higher education > 2 years
Higher education > 3years PhD
Secondary school < 2 years
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Supplementary Figure 5 - Relations of exercise capacity and muscle strength to risk of arrhythmias by ischemic heart disease. Solid line represents relative hazard and dashed lines are 95% confidence interval limits; from multivariable regression spline Cox proportional hazards (adjusted for age, conscription date, region, educational level, maximal exercise capacity, systolic and diastolic blood pressure). Only observations between 1 and 99 percentiles are shown.
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
150 200 250 300 350 400
With ischemic heart disease With ischemic heart disease
Without ischemic heart disease Without ischemic heart disease
Exercise capacity (W) Muscle strength (N)
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
150 200 250 300 350 400
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12
34
Rel
ativ
e ha
zard
400 500 600 700 800 900
12
34
Rel
ativ
e ha
zard
150 200 250 300 350 400
12
34
Rel
ativ
e ha
zard
400 500 600 700 800 900
12
34
Rel
ativ
e ha
zard
150 200 250 300 350 400
12
34
Rel
ativ
e ha
zard
400 500 600 700 800 900
12
34
Rel
ativ
e ha
zard
150 200 250 300 350 400
12
34
Rel
ativ
e ha
zard
400 500 600 700 800 900
12
34
Rel
ativ
e ha
zard
150 200 250 300 350 400
Ischemic heart disease
Heart failure
Stroke
Cardiovascular death
Exercise capacity (W) Muscle strength (N)
Supplementary figure 6 - Relations of exercise capacity and muscle strength to risk of subgroups of vascular disease.Solid line represents relative hazard and dashed lines are 95% confidence interval limits, from multivariable regression spline Cox propor-tional hazards. Model A (adjusted for age, conscription date, region, height, education level and muscle strength/exercise capac-ity [muscle strength adjusted for exercise capacity, and vice versa]). Only observations between 1 and 99 percentiles are shown.
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Supplementary figure 7 - Relations of exercise capacity and muscle strength to risk of subgroups of arrhythmias. Solid line rep-resents relative hazard and dashed lines are 95% confidence interval limits; from multivariable regression spline Cox proportional hazards. Model A (adjusted for age, conscription date, region, height, education level, muscle strength/exercise capacity [muscle strength adjusted for exercise capacity, and vice versa]) Only observations between 1 and 99 percentiles are shown.
11.
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Rel
ativ
e ha
zard
400 500 600 700 800 900
11.
52
2.5
Rel
ativ
e ha
zard
150 200 250 300 350 400
11.
52
2.5
Rel
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zard
400 500 600 700 800 900
11.
52
2.5
Rel
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zard
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2.5
Rel
ativ
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zard
150 200 250 300 350 400
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
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52
2.5
Rel
ativ
e ha
zard
150 200 250 300 350 400
Atrial fibrillation
Bradyarrhythmia
Supraventricular tachycardia
Ventricular arrhythmias/Sudden cardiac death
Exercise capacity (W) Muscle strength (N)
11.
52
2.5
Rel
ativ
e ha
zard
400 500 600 700 800 900
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Supplementary table 1 – Cox proportional hazard ratios (95% CI) for vascular disease and arrhythmias comparing fifths of exercise capacity
and muscle strength.
Vascular disease Arrhythmia
Exercise capacity (in fifth) Model A* Model B** Model A* Model B**
1st 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
2nd 0.92 (0.89-0.95) 0.85 (0.82-0.88) 0.93 (0.90-0.99) 0.91 (0.87-0.96)
3rd 0.90 (0.87-0.93) 0.79 (0.76-0.82) 0.97 (0.93-1.02) 0.91 (0.87-0.96)
4th 0.81 (0.78-0.84) 0.70 (0.67-0.73) 0.97 (0.92-1.02) 0.91 (0.86-0.96)
5th 0.77 (0.73-0.80) 0.64 (0.61-0.67) 1.07 (1.01-1.13) 0.99 (0.94-1.04)
Per category 0.94 (0.93-0.95) 0.90 (0.89-0.90) 1.02 (1.00-1.03) 1.00 (0.98-1.01)
Muscle Strength (in fifth) Model A* Model B** Model A* Model B**
1st 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
2nd 0.96 (0.93-1.00) 0.92 (0.89-0.95) 0.92 (0.87-0.96) 0.89 (0.85-0.93)
3rd 0.94 (0.90-0.98) 0.86 (0.82-0.90) 0.95 (0.90-1.00) 0.90 (0.86-0.95)
4th 0.95 (0.91-0.99) 0.83 (0.80-0.87) 0.95 (0.90-0.99) 0.87 (0.83-0.92)
5th 0.99 (0.95-1.03) 0.79 (0.76-0.83) 0.99 (0.94-1.04) 0.87 (0.83-0.91)
Per category 1.00 (0.99-1.01) 0.95 (0.94.0.95) 1.00 (0.99-1.02) 0.97 (0.96-0.98)
* Adjusted for age, conscription date, region, education level, height and muscle strength/exercise capacity (muscle strength adjusted for exercise capacity, and vice versa).
** Additionally adjusted systolic and diastolic blood pressure, weight and ischemic heart disease (for arrhythmia outcomes only).
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Supplementary table 2 – Cox proportional hazard ratios (95% CI) for subgroups of vascular disease comparing fifths of exercise capacity and
muscle strength.
Ischemic heart disease Heart Failure Stroke Cardiovascular death
Exercise capacity
(in fifths)
Model A* Model B** Model A* Model B** Model A* Model B** Model A* Model B**
1st 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
2nd 0.93 (0.89-0.98) 0.86 (0.82-0.91) 0.91 (0.83-0.99) 0.82 (0.76-0.90) 0.91 (0.85-0.97) 0.87 (0.81-0.93) 0.89 (0.83-0.96) 0.82 (0.77-0.88)
3rd 0.95 (0.91-1.01) 0.83 (0.79-0.88) 0.88 (0.80-0.96) 0.74 (0.67-0.81) 0.84 (0.78-0.90) 0.77 (0.72-0.83) 0.83 (0.77-0.89) 0.72 (0.66-0.77)
4th 0.86 (0.81-0.91) 0.73 (0.68-0.77) 0.81 (0.73-0.89) 0.66 (0.60-0.74) 0.78 (0.72-0.84) 0.71 (0.66-0.77) 0.73 (0.67-0.79) 0.62 (0.56-0.67)
5th 0.78 (0.73-0.83) 0.64 (0.60-0.68) 0.75 (0.66-0.84) 0.60 (0.53-0.67) 0.74 (0.68-0.80) 0.66 (0.61-0.72) 0.70 (0.64-0.77) 0.58 (0.53-0.64)
Per category 0.95 (0.93-0.96) 0.90 (0.89-0.91) 0.93 (0.91-0.96) 0.88 (0.86-0.90) 0.92 (0.91-0.94) 0.90 (0.88-0.92) 0.91 (0.89-0.93) 0.87 (0.85-0.88)
Muscle Strength
(in fifths)
Model A* Model B** Model A* Model B** Model A* Model B** Model A* Model B**
1st 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
2nd 1.02 (0.97-1.08) 0.97 (0.92-1.03) 0.83 (0.76-0.91) 0.78 (0.71-0.85) 1.02 (0.96-1.10) 0.99 (0.93-1.07) 0.82 (0.76-0.89) 0.78 (0.72-0.84)
3rd 1.01 (0.96-1.08) 0.92 (0.87-0.98) 0.78 (0.71-0.87) 0.70 (0.63-0.77) 0.96 (0.88-1.03) 0.91 (0.84-0.98) 0.84 (0.77-0.91) 0.76 (0.70-0.82)
4th 1.02 (0.96-1.08) 0.88 (0.83-0.94) 0.75 (0.68-0.83) 0.63 (0.57-0.70) 1.00 (0.93-1.08) 0.92 (0.86-1.00) 0.82 (0.75-0.89) 0.70 (0.64-0.76)
5th 1.10 (1.04-1.17) 0.87 (0.82-0.93) 0.79 (0.71-0.88) 0.58 (0.52-0.64) 1.01 (0.94-1.10) 0.89 (0.82-0.96) 0.86 (0.79-0.94) 0.67 (0.62-0.73)
Per category 1.02 (1.01-1.03) 0.96 (0.95-0.98) 0.94 (0.92-0.97) 0.88 (0.86-0.90) 1.00 (0.98-1.02) 0.97 (0.95-0.99) 0.97 (0.95-0.99) 0.91 (0.90-0.93)
* Adjusted for age, conscription date, region, education level, height and muscle strength/exercise capacity (muscle strength adjusted for exercise capacity, and vice versa).
** Additionally adjusted systolic and diastolic blood pressure and weight.
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Supplementary table 3 - Cox proportional hazard ratios (95% CI) for subgroups of arrhythmias, comparing fifths of exercise capacity and
muscle strength.
Atrial fibrillation/flutter Bradyarrhythmias Supraventricular tachycardias Ventricular arrhythmias/
Sudden cardiac death
Exercise capacity (in
fifth)
Model A* Model B** Model A* Model B** Model A* Model B** Model A* Model B**
1st 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
2nd 0.99 (0.93-1.06) 0.95 (0.89-1.02) 0.89 (0.76-1.05) 0.88 (0.75-1.04) 0.94 (0.84-1.04) 0.93 (0.83-1.04) 0.95 (0.82-1.10) 0.97 (0.84-1.12)
3rd 1.07 (1.00-1.14) 0.99 (0.93-1.06) 0.88 (0.74-1.04) 0.86 (0.72-1.01) 0.94 (0.84-1.05) 0.94 (0.83-1.05) 0.95 (0.81-1.11) 0.96 (0.81-1.12)
4th 1.11 (1.04-1.19) 1.02 (0.95-1.09) 0.95 (0.80-1.13) 0.93 (0.78-1.11) 0.90 (0.80-1.01) 0.90 (0.80-1.01) 0.87 (0.74-1.03) 0.90 (0.77-1.06)
5th
1.31 (1.23-1.40) 1.17 (1.09-1.25) 1.03 (0.86-1.23) 1.01 (0.84-1.21) 0.88 (0.79-0.99) 0.89 (0.79-1.00) 1.04 (0.88-1.23) 1.09 (0.92-1.29)
Per category 1.07 (1.05-1.09) 1.04 (1.03-1.06) 1.01 (0.97.1.05) 1.01 (0.96-1.05) 0.97 (0.95-1.00) 0.97 (0.95-1.00) 1.00 (0.96-1.04) 1.01 (0.97-1.05)
Muscle Strength (in
fifth)
Model A* Model B** Model A* Model B** Model A* Model B** Model A* Model B**
1st 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
2nd 0.95 (0.89-1.02) 0.92 (0.86-0.99) 0.95 (0.80-1.11) 0.93 (0.79-1.10) 0.94 (0.84-1.04) 0.93 (0.83-1.04) 0.87 (0.75-1.01) 0.86 (0.75-1.00)
3rd 0.98 (0.92-1.05) 0.93 (0.87-1.00) 0.95 (0.80-1.13) 0.92 (0.77-1.10) 1.00 (0.89-1.12) 1.00 (0.89-1.12) 0.96 (0.82-1.13) 0.95 (0.81-1.12)
4th 0.99 (0.93-1.06) 0.91 (0.85-0.98) 0.91 (0.77-1.09) 0.87 (0.74-1.04) 1.03 (0.92.1.15) 1.03 (0.92-1.16) 0.74 (0.63-0.87) 0.72 (0.61-0.85)
5th 1.05 (0.98-1.12) 0.91 (0.85-0.98) 0.85 (0.71-1.02) 0.79 (0.65-0.95) 1.09 (0.97-1.22) 1.09 (0.96-1.22) 0.79 (0.67-0.93) 0.74 (0.63-0.88)
Per category 1.02 (1.00-1.03) 0.98 (0.97-1.00) 0.96 (0.93-1.00) 0.95 (0.91-0.99) 1.03 (1.00-1.06) 1.03 (1.00-1.06) 0.94 (0.90-0.97) 0.93 (0.89-0.96)
* Adjusted for age, conscription date, region, education level, height and muscle strength/exercise capacity (muscle strength adjusted for exercise capacity, and vice versa).
** Additionally adjusted systolic and diastolic blood pressure, weight and ischemic heart disease.
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nlySupplementary Document 1 - Complete list of ICD-diagnoses used in the study
Arrhythmias - Primary Outcome
All ICD- codes mentioned in secondary outcomes, plus ICD 10 - I47.9 /ICD 9 - 427.A / ICD-8 427.98
Arrhythmias - Secondary Outcomes
Atrial fibrillation/flutter ICD-10
I48.9 Atrial fibrillation and flutter
ICD-9
427D Atrial fibrillation and flutter
ICD-8
427.92 Atrial fibrillation
Bradyarrhythmias ICD -10
I44.1 Atrioventricular block, second degree
I44.2 Atrioventricular block, complete
I45.2 Bifascicular block
I45.3 Trifascicular block
I45.9 Conduction disorder, unspecified
I49.5 Sick sinus syndrome
ICD-9
426A Atrioventricular block, third degree
426B Atrioventricular block, second degree
426G Sinoatrial heart block
426X Conduction disorder, unspecified
ICD-8
427.20 Syndroma Adams-Stokes
427.28 Dissociatio cordis alia
Other supraventricular arrhythmias ICD-10
I45.6 Pre-excitation syndrome
I47.1 Supraventricular tachycardia
ICD-9
426H Atrioventricular excitation, anomalous
427A Tachycardia, paroxysmal supraventricular
ICD-8
427.90 Tachycardia, paroxysmal supraventricular
Cardiac arrest and ventricular arrhythmias ICD-10
I46.0 Cardiac arrest with successful resuscitation
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nlyI46.1 Sudden cardiac death, so described Excludes: sudden death:
I46.9 Cardiac arrest, unspecified
I47.0 Re-entry ventricular arrhythmia
I47.2 Ventricular tachycardia
I49.0 Ventricular fibrillation and flutter
R96.0 Instantaneous death
ICD-9
427B Paroxysmal ventricular tachycardia
427E Ventricular fibrillation and flutter
427F Cardiac arrest
798B Sudden death, cause unknown
ICD-8
427.91 Paroxysmal ventricular tachycardia
795,99 Sudden death, cause unknown
Vascular disease – primary outcome
All ICD- codes mentioned in secondary outcomes
Vascular disease – secondary outcomes
Ischemic heart disease ICD-10
I20-I25 Ischemic heart diseases
ICD-9
410-414 Ischemic heart diseases
ICD-8
410-414 Ischemic heart diseases
Heart Failure ICD-10
I11.0 Hypertensive heart disease with (congestive) heart failure
I50.0-9 Heart failure
ICD-9
428A Chronic heart failure
428B Left heart failure
428X Heart failure, unspecified
ICD-8
427,00 Uncompensated heart failure
427,10 Pulmonary edema
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nlyStroke ICD-10
I60.0-9 Subarachnoid haemorrhage
I61.0-9 Intracerebral haemorrhage
I63.0-9 Cerebral infarction
I64.0-9 Stroke, not specified as haemorrhage or infarction
ICD-9
430-438 Cerebrovascular disease
ICD-8
430-438 Cerebrovascular disease
Cardiovascular death ICD-10
I.00-99 Diseases of the circulatory system
ICD-9
390-459 Diseases of the circulatory system
ICD-8
390-458 Diseases of the circulatory system
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