Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Helen Abbey

Biographic Data

ID5938604
NAMEHelen Abbey
GIVEN NAMESHelen
FAMILY NAMEAbbey
SIGNATUREABBEY H
AFFILIATIONSJohns Hopkins University
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS12
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1972
LATEST PUBLICATION YEAR1987
H-INDEX2
  • Smoking behavior among participants in the nurses' health study

    A H Myers, B Rosner et al.•ARTICLE•American Journal of Public Health•1987•Cited by: 5•References: 3

    We analyzed smoking behavior of 91,651 married female nurses, aged 30-55 years in 1976. The prevalence of smoking was similar among all birth cohorts. The largest percentage increase in starting to smoke occurred between ages 15 and 25 years; by age 25, 50 per cent had started smoking. The cessation rate was lowest in earlier birth cohorts and among nurses starting to smoke at earlier ages. The cessation rate increased substantially between 1963-…

  • Invited discussion

    Helen Abbey, Richard H Ward et al.•ARTICLE•Social Biology•1979

  • Survey of adolescent drug use. II. Social and environmental factors

    Kenneth G Johnson, Helen Abbey et al.•ARTICLE•American Journal of Public Health•1972•Cited by: 2

    Survey of adolescent drug use. II. Social and environmental factors. K G Johnson, H Abbey, R Scheble, and M WeitmanCopyRight https://doi.org/10.2105/AJPH.62.2.164 Published Online: October 07, 2011

  • Survey of adolescent drug use. 3. Correlations among use of drugs

    Michal Weitman, R Scheble et al.•ARTICLE•American Journal of Public Health•1972•Cited by: 3

    Survey of adolescent drug use. 3. Correlations among use of drugs. M Weitman, R Scheble, K G Johnson, and H AbbeyCopyRight https://doi.org/10.2105/AJPH.62.2.166 Published Online: October 07, 2011

  • A study on IUD retention by curve-fitting

    Open Access•Peng-Tu Liu, Lien-Ping Chow et al.•ARTICLE•Demography•1972•Cited by: 2•References: 5

    In order to estimate the demographic impact of IUD, there is a need for estimating IUD retention rates beyond the period of actual observation. This article describes a mixed exponential function for this purpose. With this function of IUD retention, it is possible to estimate the “life expectancy” and “half-life” of an IUD. Another important concept is the “cut-off date”, introduced in estimating the “life expectancy” because in practice no IUD …

  • Smoking behavior among participants in the nurses' health study

    A H Myers, B Rosner et al.•ARTICLE•American Journal of Public Health•1987•Cited by: 5•References: 3

    We analyzed smoking behavior of 91,651 married female nurses, aged 30-55 years in 1976. The prevalence of smoking was similar among all birth cohorts. The largest percentage increase in starting to smoke occurred between ages 15 and 25 years; by age 25, 50 per cent had started smoking. The cessation rate was lowest in earlier birth cohorts and among nurses starting to smoke at earlier ages. The cessation rate increased substantially between 1963-…

  • Survey of adolescent drug use. 3. Correlations among use of drugs

    Michal Weitman, R Scheble et al.•ARTICLE•American Journal of Public Health•1972•Cited by: 3

    Survey of adolescent drug use. 3. Correlations among use of drugs. M Weitman, R Scheble, K G Johnson, and H AbbeyCopyRight https://doi.org/10.2105/AJPH.62.2.166 Published Online: October 07, 2011

  • Survey of adolescent drug use. II. Social and environmental factors

    Kenneth G Johnson, Helen Abbey et al.•ARTICLE•American Journal of Public Health•1972•Cited by: 2

    Survey of adolescent drug use. II. Social and environmental factors. K G Johnson, H Abbey, R Scheble, and M WeitmanCopyRight https://doi.org/10.2105/AJPH.62.2.164 Published Online: October 07, 2011

  • A study on IUD retention by curve-fitting

    Open Access•Peng-Tu Liu, Lien-Ping Chow et al.•ARTICLE•Demography•1972•Cited by: 2•References: 5

    In order to estimate the demographic impact of IUD, there is a need for estimating IUD retention rates beyond the period of actual observation. This article describes a mixed exponential function for this purpose. With this function of IUD retention, it is possible to estimate the “life expectancy” and “half-life” of an IUD. Another important concept is the “cut-off date”, introduced in estimating the “life expectancy” because in practice no IUD …

  • Survey of adolescent drug use. II. Social and environmental factors

    Kenneth G Johnson, Helen Abbey et al.•ARTICLE•American Journal of Public Health•1972•Cited by: 2

    Survey of adolescent drug use. II. Social and environmental factors. K G Johnson, H Abbey, R Scheble, and M WeitmanCopyRight https://doi.org/10.2105/AJPH.62.2.164 Published Online: October 07, 2011

  • Survey of adolescent drug use. 3. Correlations among use of drugs

    Michal Weitman, R Scheble et al.•ARTICLE•American Journal of Public Health•1972•Cited by: 3

    Survey of adolescent drug use. 3. Correlations among use of drugs. M Weitman, R Scheble, K G Johnson, and H AbbeyCopyRight https://doi.org/10.2105/AJPH.62.2.166 Published Online: October 07, 2011

  • A study on IUD retention by curve-fitting

    Open Access•Peng-Tu Liu, Lien-Ping Chow et al.•ARTICLE•Demography•1972•Cited by: 2•References: 5

    In order to estimate the demographic impact of IUD, there is a need for estimating IUD retention rates beyond the period of actual observation. This article describes a mixed exponential function for this purpose. With this function of IUD retention, it is possible to estimate the “life expectancy” and “half-life” of an IUD. Another important concept is the “cut-off date”, introduced in estimating the “life expectancy” because in practice no IUD …

  • Invited discussion

    Helen Abbey, Richard H Ward et al.•ARTICLE•Social Biology•1979

  • Smoking behavior among participants in the nurses' health study

    A H Myers, B Rosner et al.•ARTICLE•American Journal of Public Health•1987•Cited by: 5•References: 3

    We analyzed smoking behavior of 91,651 married female nurses, aged 30-55 years in 1976. The prevalence of smoking was similar among all birth cohorts. The largest percentage increase in starting to smoke occurred between ages 15 and 25 years; by age 25, 50 per cent had started smoking. The cessation rate was lowest in earlier birth cohorts and among nurses starting to smoke at earlier ages. The cessation rate increased substantially between 1963-…

Medicine (5 works) · Demography (3 works) · Child and Adolescent Health (2 works) · Drug (2 works) · Environmental health (2 works) · Pharmaceutical studies and practices (2 works) · Psychiatry (2 works) · Psychology (2 works) · Sociology (2 works) · Biology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae