Retrospective estimation of diabetes incjdence from information in a prevalent population and historical mortality

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Standard

Retrospective estimation of diabetes incjdence from information in a prevalent population and historical mortality. / Keiding, Niels; Holst, Claus; Green, Anders.

I: American Journal of Epidemiology, Bind 130, Nr. 3, 01.09.1989, s. 588-600.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Keiding, N, Holst, C & Green, A 1989, 'Retrospective estimation of diabetes incjdence from information in a prevalent population and historical mortality', American Journal of Epidemiology, bind 130, nr. 3, s. 588-600. https://doi.org/10.1093/oxfordjournals.aje.a115373

APA

Keiding, N., Holst, C., & Green, A. (1989). Retrospective estimation of diabetes incjdence from information in a prevalent population and historical mortality. American Journal of Epidemiology, 130(3), 588-600. https://doi.org/10.1093/oxfordjournals.aje.a115373

Vancouver

Keiding N, Holst C, Green A. Retrospective estimation of diabetes incjdence from information in a prevalent population and historical mortality. American Journal of Epidemiology. 1989 sep. 1;130(3):588-600. https://doi.org/10.1093/oxfordjournals.aje.a115373

Author

Keiding, Niels ; Holst, Claus ; Green, Anders. / Retrospective estimation of diabetes incjdence from information in a prevalent population and historical mortality. I: American Journal of Epidemiology. 1989 ; Bind 130, Nr. 3. s. 588-600.

Bibtex

@article{ee1a2a3a510a4362b073b26948a4a09a,
title = "Retrospective estimation of diabetes incjdence from information in a prevalent population and historical mortality",
abstract = "If the distribution of onset age of disease in a well-defined prevalent (crosssectional) population of patients is known, disease incidence rates specific for age and calendar time period may be estimated, assuming known mortality rates and a dosed population. This paper develops a method of estimation, illustrates this method on Danish diabetes data, and discusses tts general applicability. The prevalent population of diabetic subjects in Fyn County on July 1, 1973 was ascertained from prescriptions, and information on disease onset was obtained from the patients' medical records. In this study only patients with onset of disease before or at age 30 years were studied. The mortality of diabetic subjects in Denmark was estimated from retrospective hospttal data covering the period since 1933, and historical age-specific population sizes of Fyn County were obtained from census data. The incidence of diabetes increases wtth calendar time and with age for most cohorts. The variation with age for a fixed calendar year is more complicated, however, usually displaying a local maximum at about the age of puberty and a higher inddence at the upper end of the studied age range.",
keywords = "Diabetes mellitus",
author = "Niels Keiding and Claus Holst and Anders Green",
year = "1989",
month = sep,
day = "1",
doi = "10.1093/oxfordjournals.aje.a115373",
language = "English",
volume = "130",
pages = "588--600",
journal = "American Journal of Epidemiology",
issn = "0002-9262",
publisher = "Oxford University Press",
number = "3",

}

RIS

TY - JOUR

T1 - Retrospective estimation of diabetes incjdence from information in a prevalent population and historical mortality

AU - Keiding, Niels

AU - Holst, Claus

AU - Green, Anders

PY - 1989/9/1

Y1 - 1989/9/1

N2 - If the distribution of onset age of disease in a well-defined prevalent (crosssectional) population of patients is known, disease incidence rates specific for age and calendar time period may be estimated, assuming known mortality rates and a dosed population. This paper develops a method of estimation, illustrates this method on Danish diabetes data, and discusses tts general applicability. The prevalent population of diabetic subjects in Fyn County on July 1, 1973 was ascertained from prescriptions, and information on disease onset was obtained from the patients' medical records. In this study only patients with onset of disease before or at age 30 years were studied. The mortality of diabetic subjects in Denmark was estimated from retrospective hospttal data covering the period since 1933, and historical age-specific population sizes of Fyn County were obtained from census data. The incidence of diabetes increases wtth calendar time and with age for most cohorts. The variation with age for a fixed calendar year is more complicated, however, usually displaying a local maximum at about the age of puberty and a higher inddence at the upper end of the studied age range.

AB - If the distribution of onset age of disease in a well-defined prevalent (crosssectional) population of patients is known, disease incidence rates specific for age and calendar time period may be estimated, assuming known mortality rates and a dosed population. This paper develops a method of estimation, illustrates this method on Danish diabetes data, and discusses tts general applicability. The prevalent population of diabetic subjects in Fyn County on July 1, 1973 was ascertained from prescriptions, and information on disease onset was obtained from the patients' medical records. In this study only patients with onset of disease before or at age 30 years were studied. The mortality of diabetic subjects in Denmark was estimated from retrospective hospttal data covering the period since 1933, and historical age-specific population sizes of Fyn County were obtained from census data. The incidence of diabetes increases wtth calendar time and with age for most cohorts. The variation with age for a fixed calendar year is more complicated, however, usually displaying a local maximum at about the age of puberty and a higher inddence at the upper end of the studied age range.

KW - Diabetes mellitus

UR - http://www.scopus.com/inward/record.url?scp=0024365973&partnerID=8YFLogxK

U2 - 10.1093/oxfordjournals.aje.a115373

DO - 10.1093/oxfordjournals.aje.a115373

M3 - Journal article

C2 - 2764003

AN - SCOPUS:0024365973

VL - 130

SP - 588

EP - 600

JO - American Journal of Epidemiology

JF - American Journal of Epidemiology

SN - 0002-9262

IS - 3

ER -

ID: 202334239