Circannual and/or transannual variations in growth hormone and beyond - Call for long data series

Cristina Gobello; Germaine G Cornelissen-Guillaume; Yanina A. Corrada; Rodolfo G. Goya; Kuniaki Otsuka; Franz Halberg

doi:10.1016/S0753-3322(04)80013-1

Circannual and/or transannual variations in growth hormone and beyond - Call for long data series

Cristina Gobello, Germaine G Cornelissen-Guillaume, Yanina A. Corrada, Rodolfo G. Goya, Kuniaki Otsuka, Franz Halberg

Physiology

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

A meta-analysis of growth hormone data showing similar double amplitudes of 36 and 34% of the mean from the fit of cosine curves with periods of 1.3 and 1.0 year, respectively, suggests the desirability of analyzing available time series on variables of interest in biomedicine, to explore heretofore unknown longer-than-yearly cycles that may interact (beat) with yearly ones.

Original language	English (US)
Pages (from-to)	S87-S90
Journal	Biomedicine and Pharmacotherapy
Volume	58
Issue number	SUPPL. 1
DOIs	https://doi.org/10.1016/S0753-3322(04)80013-1
State	Published - Oct 2004

Bibliographical note

Funding Information:
This study was supported by a NIH grant (GM-13981) to FH; and by the University of Minnesota Supercomputing Institute (to GC, FH).

Keywords

Growth hormone
Interaction
Longer-than-yearly cycle
Yearly cycle

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10.1016/S0753-3322(04)80013-1

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title = "Circannual and/or transannual variations in growth hormone and beyond - Call for long data series",

abstract = "A meta-analysis of growth hormone data showing similar double amplitudes of 36 and 34% of the mean from the fit of cosine curves with periods of 1.3 and 1.0 year, respectively, suggests the desirability of analyzing available time series on variables of interest in biomedicine, to explore heretofore unknown longer-than-yearly cycles that may interact (beat) with yearly ones.",

keywords = "Growth hormone, Interaction, Longer-than-yearly cycle, Yearly cycle",

author = "Cristina Gobello and Cornelissen-Guillaume, {Germaine G} and Corrada, {Yanina A.} and Goya, {Rodolfo G.} and Kuniaki Otsuka and Franz Halberg",

note = "Funding Information: This study was supported by a NIH grant (GM-13981) to FH; and by the University of Minnesota Supercomputing Institute (to GC, FH).",

year = "2004",

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doi = "10.1016/S0753-3322(04)80013-1",

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volume = "58",

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T1 - Circannual and/or transannual variations in growth hormone and beyond - Call for long data series

AU - Gobello, Cristina

AU - Cornelissen-Guillaume, Germaine G

AU - Corrada, Yanina A.

AU - Goya, Rodolfo G.

AU - Otsuka, Kuniaki

AU - Halberg, Franz

N1 - Funding Information: This study was supported by a NIH grant (GM-13981) to FH; and by the University of Minnesota Supercomputing Institute (to GC, FH).

PY - 2004/10

Y1 - 2004/10

N2 - A meta-analysis of growth hormone data showing similar double amplitudes of 36 and 34% of the mean from the fit of cosine curves with periods of 1.3 and 1.0 year, respectively, suggests the desirability of analyzing available time series on variables of interest in biomedicine, to explore heretofore unknown longer-than-yearly cycles that may interact (beat) with yearly ones.

AB - A meta-analysis of growth hormone data showing similar double amplitudes of 36 and 34% of the mean from the fit of cosine curves with periods of 1.3 and 1.0 year, respectively, suggests the desirability of analyzing available time series on variables of interest in biomedicine, to explore heretofore unknown longer-than-yearly cycles that may interact (beat) with yearly ones.

KW - Growth hormone

KW - Interaction

KW - Longer-than-yearly cycle

KW - Yearly cycle

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UR - http://www.scopus.com/inward/citedby.url?scp=22144484829&partnerID=8YFLogxK

U2 - 10.1016/S0753-3322(04)80013-1

DO - 10.1016/S0753-3322(04)80013-1

M3 - Article

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AN - SCOPUS:22144484829

SN - 0753-3322

VL - 58

SP - S87-S90

JO - Biomedicine and Pharmacotherapy

JF - Biomedicine and Pharmacotherapy

IS - SUPPL. 1

ER -

Circannual and/or transannual variations in growth hormone and beyond - Call for long data series

Abstract

Bibliographical note

Keywords

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