Evidence map›Paper›PMID 21134267›Full record

ArticleCardiovascular diabetology2010

Insulin resistance and circadian rhythm of cardiac autonomic modulation.

Sol M Rodríguez-Colón, Xian Li, Michele L Shaffer, Fan He, Edward O Bixler, Alexandros N Vgontzas, Jianwen Cai, Duanping Liao

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. The circadian pattern of cardiac autonomic modulation and obesity in adolescents.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2014
    Article
  8. Childhood obesity and autonomic dysfunction: risk for cardiac morbidity and mortality.Current treatment options in cardiovascular medicine · 2014
    Article
  9. Hypoglycemic effects and mechanisms of electroacupuncture on insulin resistance.American journal of physiology. Regulatory, integrative and comparative physiology · 2014
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sol M Rodríguez-ColónDepartment of Public Health Sciences, Penn State University College of Medicine, 600 Centerview Dr, Suite 2200, A210, Hershey, PA, USA.
Xian Li
Michele L Shaffer
Fan He
Edward O Bixler
Alexandros N Vgontzas
Jianwen Cai
Duanping Liao

Funding

Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
PREVALENCE OF SLEEP DISORDERED BREATHING IN CHILDRENR01HL063772 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI BIXLER, EDWARD O. · 2001 to 2005
$1.3M
Air Pollution and Cardiac Risk: Mechanisms & Time-courseR01ES014010 · NIEHS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIAO, DUANPING · 2007 to 2010
$1.1M
Sleep-disordered breathing, sleep stages, and heart rate variability in childrenR21HL087858 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIAO, DUANPING · 2007 to 2008
$403k
NCATS NIH HHS UL1 TR000127NHLBI NIH HHS R01 HL063772NHLBI NIH HHS R21 HL087858NIEHS NIH HHS 1 R01 ES014010
6 · The paper itself

Abstract

backgroundInsulin resistance (IR) has been associated with cardiovascular diseases (CVD). Heart rate variability (HRV), an index of cardiac autonomic modulation (CAM), is also associated with CVD mortality and CVD morbidity. Currently, there are limited data about the impairment of IR on the circadian pattern of CAM. Therefore, we conducted this investigation to exam the association between IR and the circadian oscillations of CAM in a community-dwelling middle-aged sample.

methodHomeostasis models of IR (HOMA-IR), insulin, and glucose were used to assess IR. CAM was measured by HRV analysis from a 24-hour electrocardiogram. Two stage modeling was used in the analysis. In stage one, for each individual we fit a cosine periodic model based on the 48 segments of HRV data. We obtained three individual-level cosine parameters that quantity the circadian pattern: mean (M), measures the overall average of a HRV index; amplitude (Â), measures the amplitude of the oscillation of a HRV index; and acrophase time (θ), measures the timing of the highest oscillation. At the second stage, we used a random-effects-meta-analysis to summarize the effects of IR variables on the three circadian parameters of HRV indices obtained in stage one of the analysis.

resultsIn persons without type diabetes, the multivariate adjusted β (SE) of log HOMA-IR and M variable for HRV were -0.251 (0.093), -0.245 (0.078), -0.19 (0.06), -4.89 (1.76), -3.35 (1.31), and 2.14 (0.995), for log HF, log LF, log VLF, SDNN, RMSSD and HR, respectively (all P < 0.05). None of the IR variables were significantly associated with  or θ of the HRV indices. However, in eight type 2 diabetics, the magnitude of effect due to higher HOMA-IR on M, Â, and θ are much larger.

conclusionElevated IR, among non-diabetics significantly impairs the overall mean levels of CAM. However, the  or θ of CAM were not significantly affected by IR, suggesting that the circadian mechanisms of CAM are not impaired. However, among persons with type 2 diabetes, a group clinically has more severe form of IR, the adverse effects of increased IR on all three HRV circadian parameters are much larger.

Indexed as

Circadian RhythmHeart RateInsulin ResistanceAutonomic Nervous SystemBlood GlucoseCardiovascular DiseasesCross-Sectional StudiesDiabetes Mellitus, Type 2Electrocardiography, AmbulatoryFemaleHeartHumansInsulinMaleMiddle AgedModels, CardiovascularBlood GlucoseInsulin

Identifiers

PMID21134267
PMCPMC3017516

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.