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Samuel Preston

Biographic Data

ID108871
NAMESamuel Preston
GIVEN NAMESSamuel
FAMILY NAMEPreston
SIGNATUREPRESTON S
AFFILIATIONSUniversity of Pennsylvania
VERIFIEDNo
TOTAL WORKS15
TOTAL CITATIONS121
AUTHOR COUNT15
EDITOR COUNT0
FIRST PUBLICATION YEAR1982
LATEST PUBLICATION YEAR2024
H-INDEX7
  • Socio-behavioral factors contributing to recent mortality trends in the United States

    Open Access•Samuel Preston, Yana C Vierboom et al.•ARTICLE•Demographic Research•2024•Cited by: 2•References: 44

    BACKGROUND: We investigate the contribution of socio-behavioral factors to changes in US adult mortality over the period 1997–2019 using National Health Interview Surveys for the years 1997–2018 linked to death records through 2019. The variables studied include alcohol consumption, cigarette smoking, health insurance coverage, educational attainment, mental distress, obesity, and race/ethnicity. We evaluate the contribution of each socio-behavio…

  • The Contribution of Weight Status to Black-White Differences in Mortality

    I T Elo, Neil Mehta et al.•ARTICLE•Biodemography and Social Biology•2017•Cited by: 2•References: 40

    This article examines the contribution of weight status to black-white (B-W) differences in mortality at ages 40-79 using data from the National Health and Nutrition Examination Survey. We measured body mass index (BMI) based on the highest BMI attained and contrasted the contribution of BMI to that of smoking and educational attainment. We estimated both additive and multiplicative models. In addition to estimating regression coefficients we ask…

  • Are major behavioral and sociodemographic risk factors for mortality additive or multiplicative in their effects

    Open Access•Neil K Mehta, H Preston et al.•ARTICLE•Social Science & Medicine•2016•Cited by: 10•References: 35

  • Factors responsible for mortality variation in the United States: A latent variable analysis

    Open Access•Christopher Tencza, Christopher J Tencza et al.•ARTICLE•Demographic Research•2014•Cited by: 3•References: 28

    BACKGROUND: Factors including smoking, drinking, substance abuse, obesity, and health care have all been shown to affect health and longevity. The relative importance of each of these factors is disputed in the literature, and has been assessed through a number of methods. OBJECTIVE: This paper uses a novel approach to identify factors responsible for interstate mortality variation. It identifies factors through their imprint on mortality pattern…

  • The changing contribution of smoking to educational differences in life expectancy: Indirect estimates for Finnish men and women from 1971 to 2010

    Pekka Martikainen, Jessica Y Ho et al.•ARTICLE•Journal of Epidemiology and…•2013•Cited by: 17•References: 27

    BACKGROUND: We estimated the contribution of smoking to educational differences in mortality and life expectancy between 1971 and 2010 in Finland. METHODS: Eight prospective datasets with baseline in 1970, 1975, 1980, 1985, 1990, 1995, 2000 and 2005 and each linked to a 5-year mortality follow-up were used. We calculated life expectancy at age 50 years with and without smoking-attributable mortality by education and gender. Estimates of smoking-a…

  • Continued Increases in the Relative Risk of Death From Smoking

    Neil Mehta, Neil K Mehta et al.•ARTICLE•American Journal of Public Health•2012•Cited by: 7•References: 9

    Objectives. We examined changes in the relative risk of death among current and former smokers over recent decades in the United States. Methods. Data from the National Health Interview Survey (NHIS) and National Health and Nutrition Examination Survey (NHANES) were linked to subsequent deaths. We calculated age-standardized death rates by gender and smoking status, and estimated multivariate discrete time logit regression models. Results. The ri…

  • Mortality, The Family and the Indian Ocean Tsunami

    Open Access•Elizabeth Frankenberg, Thomas R Gillespie et al.•ARTICLE•The Economic Journal•2011•Cited by: 30•References: 17

    Over 130,000 people died in the 2004 Indian Ocean tsunami. The correlates of survival are examined using data from the Study of the Tsunami Aftermath and Recovery (STAR), a population-representative survey collected in Aceh and North Sumatra, Indonesia, before and after the tsunami. Children, older adults and females were the least likely to survive. Whereas socio-economic factors mattered relatively little, the evidence is consistent with physic…

  • Cohort fertility patterns and breast cancer mortality among U.S. women, 1948-2003

    Open Access•Patrick M Krueger, H Preston et al.•ARTICLE•Demographic Research•2008•References: 26

    Epidemiological research has shown that women who have early and numerous births have reduced risks of being diagnosed with breast cancer. We use U.S. Vital Statistics and Census data and age-period-cohort models to examine whether cohort fertility pat

  • An integrated approach to cause-of-death analysis: Cause-Deleted Life Tables and Decompositions of Life Expectancy

    Open Access•Hiram Beltran-Sanchez, H Preston et al.•ARTICLE•Demographic Research•2008•Cited by: 22•References: 13

    This article integrates two methods that analyze the implications of various causes of death for life expectancy. One of the methods attributes changes in life expectancy to various causes of death; the other method examines the effect of removing deaths from a particular cause on life expectancy. This integration is accomplished by new formulas that make clearer the interactions among causes of death in determining life expectancy. We apply our …

  • Comparative mortality levels among selected species of captive animals

    Open Access•Iliana V Kohler, Iliana Kohler et al.•ARTICLE•Demographic Research•2006•Cited by: 1•References: 17

    We present life tables by single year of age and sex for groups of animals and for 42 individual mostly mammalian species. Data are derived from the International Species Information System. The survivorship of most of these species has never been mapp

  • Vietnamese Casualties During the American War: A New Estimate

    Charles Hirschman, H Preston et al.•ARTICLE•Population and Development Review•1995•Cited by: 18

    Retrospective reports of the birth and death dates of 5562 kin from the 1991 Vietnam Life History Survey (VLHS) a sample survey of 403 households and 921 adults in four areas of Vietnam provide plausible estimates of adult mortality trends and patterns in that country. The VLHS mortality estimates are consistent with estimates from independent sources for recent periods and when war deaths are excluded are in broad agreement with expected pattern…

  • Patterns of Mortality by Age and Cause of Death among Nineteenth-Century Immigrants to Liberia

    Open Access•J Hd, Antonio Mc Daniel et al.•ARTICLE•Population•1994

  • Paradise Lost

    H Preston, Samuel Preston et al.•ARTICLE•Contemporary Sociology A Journal…•1992

  • Vital Rates in India, 1961-1981

    P N Mari Bhat, H Preston et al.•ARTICLE•Population and Development Review•1984•Cited by: 9

  • Age, Period, and Cohort Effects in Demography: A Review

    John Hobcraft, Jane Menken et al.•ARTICLE•Population Index•1982

  • Mortality, The Family and the Indian Ocean Tsunami

    Open Access•Elizabeth Frankenberg, Thomas R Gillespie et al.•ARTICLE•The Economic Journal•2011•Cited by: 30•References: 17

    Over 130,000 people died in the 2004 Indian Ocean tsunami. The correlates of survival are examined using data from the Study of the Tsunami Aftermath and Recovery (STAR), a population-representative survey collected in Aceh and North Sumatra, Indonesia, before and after the tsunami. Children, older adults and females were the least likely to survive. Whereas socio-economic factors mattered relatively little, the evidence is consistent with physic…

  • An integrated approach to cause-of-death analysis: Cause-Deleted Life Tables and Decompositions of Life Expectancy

    Open Access•Hiram Beltran-Sanchez, H Preston et al.•ARTICLE•Demographic Research•2008•Cited by: 22•References: 13

    This article integrates two methods that analyze the implications of various causes of death for life expectancy. One of the methods attributes changes in life expectancy to various causes of death; the other method examines the effect of removing deaths from a particular cause on life expectancy. This integration is accomplished by new formulas that make clearer the interactions among causes of death in determining life expectancy. We apply our …

  • Vietnamese Casualties During the American War: A New Estimate

    Charles Hirschman, H Preston et al.•ARTICLE•Population and Development Review•1995•Cited by: 18

    Retrospective reports of the birth and death dates of 5562 kin from the 1991 Vietnam Life History Survey (VLHS) a sample survey of 403 households and 921 adults in four areas of Vietnam provide plausible estimates of adult mortality trends and patterns in that country. The VLHS mortality estimates are consistent with estimates from independent sources for recent periods and when war deaths are excluded are in broad agreement with expected pattern…

  • The changing contribution of smoking to educational differences in life expectancy: Indirect estimates for Finnish men and women from 1971 to 2010

    Pekka Martikainen, Jessica Y Ho et al.•ARTICLE•Journal of Epidemiology and…•2013•Cited by: 17•References: 27

    BACKGROUND: We estimated the contribution of smoking to educational differences in mortality and life expectancy between 1971 and 2010 in Finland. METHODS: Eight prospective datasets with baseline in 1970, 1975, 1980, 1985, 1990, 1995, 2000 and 2005 and each linked to a 5-year mortality follow-up were used. We calculated life expectancy at age 50 years with and without smoking-attributable mortality by education and gender. Estimates of smoking-a…

  • Are major behavioral and sociodemographic risk factors for mortality additive or multiplicative in their effects

    Open Access•Neil K Mehta, H Preston et al.•ARTICLE•Social Science & Medicine•2016•Cited by: 10•References: 35

  • Vital Rates in India, 1961-1981

    P N Mari Bhat, H Preston et al.•ARTICLE•Population and Development Review•1984•Cited by: 9

  • Continued Increases in the Relative Risk of Death From Smoking

    Neil Mehta, Neil K Mehta et al.•ARTICLE•American Journal of Public Health•2012•Cited by: 7•References: 9

    Objectives. We examined changes in the relative risk of death among current and former smokers over recent decades in the United States. Methods. Data from the National Health Interview Survey (NHIS) and National Health and Nutrition Examination Survey (NHANES) were linked to subsequent deaths. We calculated age-standardized death rates by gender and smoking status, and estimated multivariate discrete time logit regression models. Results. The ri…

  • Factors responsible for mortality variation in the United States: A latent variable analysis

    Open Access•Christopher Tencza, Christopher J Tencza et al.•ARTICLE•Demographic Research•2014•Cited by: 3•References: 28

    BACKGROUND: Factors including smoking, drinking, substance abuse, obesity, and health care have all been shown to affect health and longevity. The relative importance of each of these factors is disputed in the literature, and has been assessed through a number of methods. OBJECTIVE: This paper uses a novel approach to identify factors responsible for interstate mortality variation. It identifies factors through their imprint on mortality pattern…

  • Socio-behavioral factors contributing to recent mortality trends in the United States

    Open Access•Samuel Preston, Yana C Vierboom et al.•ARTICLE•Demographic Research•2024•Cited by: 2•References: 44

    BACKGROUND: We investigate the contribution of socio-behavioral factors to changes in US adult mortality over the period 1997–2019 using National Health Interview Surveys for the years 1997–2018 linked to death records through 2019. The variables studied include alcohol consumption, cigarette smoking, health insurance coverage, educational attainment, mental distress, obesity, and race/ethnicity. We evaluate the contribution of each socio-behavio…

  • The Contribution of Weight Status to Black-White Differences in Mortality

    I T Elo, Neil Mehta et al.•ARTICLE•Biodemography and Social Biology•2017•Cited by: 2•References: 40

    This article examines the contribution of weight status to black-white (B-W) differences in mortality at ages 40-79 using data from the National Health and Nutrition Examination Survey. We measured body mass index (BMI) based on the highest BMI attained and contrasted the contribution of BMI to that of smoking and educational attainment. We estimated both additive and multiplicative models. In addition to estimating regression coefficients we ask…

  • Comparative mortality levels among selected species of captive animals

    Open Access•Iliana V Kohler, Iliana Kohler et al.•ARTICLE•Demographic Research•2006•Cited by: 1•References: 17

    We present life tables by single year of age and sex for groups of animals and for 42 individual mostly mammalian species. Data are derived from the International Species Information System. The survivorship of most of these species has never been mapp

  • Age, Period, and Cohort Effects in Demography: A Review

    John Hobcraft, Jane Menken et al.•ARTICLE•Population Index•1982

  • Vital Rates in India, 1961-1981

    P N Mari Bhat, H Preston et al.•ARTICLE•Population and Development Review•1984•Cited by: 9

  • Paradise Lost

    H Preston, Samuel Preston et al.•ARTICLE•Contemporary Sociology A Journal…•1992

  • Patterns of Mortality by Age and Cause of Death among Nineteenth-Century Immigrants to Liberia

    Open Access•J Hd, Antonio Mc Daniel et al.•ARTICLE•Population•1994

  • Vietnamese Casualties During the American War: A New Estimate

    Charles Hirschman, H Preston et al.•ARTICLE•Population and Development Review•1995•Cited by: 18

    Retrospective reports of the birth and death dates of 5562 kin from the 1991 Vietnam Life History Survey (VLHS) a sample survey of 403 households and 921 adults in four areas of Vietnam provide plausible estimates of adult mortality trends and patterns in that country. The VLHS mortality estimates are consistent with estimates from independent sources for recent periods and when war deaths are excluded are in broad agreement with expected pattern…

  • Comparative mortality levels among selected species of captive animals

    Open Access•Iliana V Kohler, Iliana Kohler et al.•ARTICLE•Demographic Research•2006•Cited by: 1•References: 17

    We present life tables by single year of age and sex for groups of animals and for 42 individual mostly mammalian species. Data are derived from the International Species Information System. The survivorship of most of these species has never been mapp

  • Cohort fertility patterns and breast cancer mortality among U.S. women, 1948-2003

    Open Access•Patrick M Krueger, H Preston et al.•ARTICLE•Demographic Research•2008•References: 26

    Epidemiological research has shown that women who have early and numerous births have reduced risks of being diagnosed with breast cancer. We use U.S. Vital Statistics and Census data and age-period-cohort models to examine whether cohort fertility pat

  • An integrated approach to cause-of-death analysis: Cause-Deleted Life Tables and Decompositions of Life Expectancy

    Open Access•Hiram Beltran-Sanchez, H Preston et al.•ARTICLE•Demographic Research•2008•Cited by: 22•References: 13

    This article integrates two methods that analyze the implications of various causes of death for life expectancy. One of the methods attributes changes in life expectancy to various causes of death; the other method examines the effect of removing deaths from a particular cause on life expectancy. This integration is accomplished by new formulas that make clearer the interactions among causes of death in determining life expectancy. We apply our …

  • Mortality, The Family and the Indian Ocean Tsunami

    Open Access•Elizabeth Frankenberg, Thomas R Gillespie et al.•ARTICLE•The Economic Journal•2011•Cited by: 30•References: 17

    Over 130,000 people died in the 2004 Indian Ocean tsunami. The correlates of survival are examined using data from the Study of the Tsunami Aftermath and Recovery (STAR), a population-representative survey collected in Aceh and North Sumatra, Indonesia, before and after the tsunami. Children, older adults and females were the least likely to survive. Whereas socio-economic factors mattered relatively little, the evidence is consistent with physic…

  • Continued Increases in the Relative Risk of Death From Smoking

    Neil Mehta, Neil K Mehta et al.•ARTICLE•American Journal of Public Health•2012•Cited by: 7•References: 9

    Objectives. We examined changes in the relative risk of death among current and former smokers over recent decades in the United States. Methods. Data from the National Health Interview Survey (NHIS) and National Health and Nutrition Examination Survey (NHANES) were linked to subsequent deaths. We calculated age-standardized death rates by gender and smoking status, and estimated multivariate discrete time logit regression models. Results. The ri…

  • The changing contribution of smoking to educational differences in life expectancy: Indirect estimates for Finnish men and women from 1971 to 2010

    Pekka Martikainen, Jessica Y Ho et al.•ARTICLE•Journal of Epidemiology and…•2013•Cited by: 17•References: 27

    BACKGROUND: We estimated the contribution of smoking to educational differences in mortality and life expectancy between 1971 and 2010 in Finland. METHODS: Eight prospective datasets with baseline in 1970, 1975, 1980, 1985, 1990, 1995, 2000 and 2005 and each linked to a 5-year mortality follow-up were used. We calculated life expectancy at age 50 years with and without smoking-attributable mortality by education and gender. Estimates of smoking-a…

  • Factors responsible for mortality variation in the United States: A latent variable analysis

    Open Access•Christopher Tencza, Christopher J Tencza et al.•ARTICLE•Demographic Research•2014•Cited by: 3•References: 28

    BACKGROUND: Factors including smoking, drinking, substance abuse, obesity, and health care have all been shown to affect health and longevity. The relative importance of each of these factors is disputed in the literature, and has been assessed through a number of methods. OBJECTIVE: This paper uses a novel approach to identify factors responsible for interstate mortality variation. It identifies factors through their imprint on mortality pattern…

  • Are major behavioral and sociodemographic risk factors for mortality additive or multiplicative in their effects

    Open Access•Neil K Mehta, H Preston et al.•ARTICLE•Social Science & Medicine•2016•Cited by: 10•References: 35

  • The Contribution of Weight Status to Black-White Differences in Mortality

    I T Elo, Neil Mehta et al.•ARTICLE•Biodemography and Social Biology•2017•Cited by: 2•References: 40

    This article examines the contribution of weight status to black-white (B-W) differences in mortality at ages 40-79 using data from the National Health and Nutrition Examination Survey. We measured body mass index (BMI) based on the highest BMI attained and contrasted the contribution of BMI to that of smoking and educational attainment. We estimated both additive and multiplicative models. In addition to estimating regression coefficients we ask…

  • Socio-behavioral factors contributing to recent mortality trends in the United States

    Open Access•Samuel Preston, Yana C Vierboom et al.•ARTICLE•Demographic Research•2024•Cited by: 2•References: 44

    BACKGROUND: We investigate the contribution of socio-behavioral factors to changes in US adult mortality over the period 1997–2019 using National Health Interview Surveys for the years 1997–2018 linked to death records through 2019. The variables studied include alcohol consumption, cigarette smoking, health insurance coverage, educational attainment, mental distress, obesity, and race/ethnicity. We evaluate the contribution of each socio-behavio…

Demography (12 works) · Medicine (10 works) · Sociology (10 works) · Health disparities and outcomes (7 works) · Population (7 works) · Environmental health (5 works) · Gerontology (5 works) · Psychology (5 works) · Cause of death (3 works) · Demography (3 works)

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