Mike Hollingshaus
Biographic Data
| ID | 312332 |
|---|---|
| NAME | Mike Hollingshaus |
| GIVEN NAMES | Mike |
| FAMILY NAME | Hollingshaus |
| SIGNATURE | HOLLINGSHAUS M |
| AFFILIATIONS | University of Utah |
| ORCID | 0000-0002-1682-9150 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Changes in numerators and denominators of death rates and their contributions to changes in life expectancy
Demographers use ratios, proportions, and rates-all calculated as counts in numerators divided by counts in denominators-as key research inputs. For age-specific death rates, the numerator is observed deaths and the denominator is person-years lived. Life expectancy summarizes those rates into one measure, and its changes convey messages of changing mortality across time. We examine the contributions from the two components of life expectancy cha…
Mortality risk following end-of-life caregiving: A population-based analysis of hospice users and their families
Disparities and determinants of place of death: Insights from the Utah Population Database
To better understand determinants and potential disparities in end of life, we model decedents' place of death with explanatory variables describing familial, social, and economic resources. A retrospective cohort of 204,041 decedents and their family members are drawn from the Utah Population Database family caregiving dataset. Using multinomial regression, we model place of death, categorized as at home, in a hospital, in another location, or u…
Variable-r in sex ratios: Formulas in honor of Jim Vaupel
BACKGROUND: Two seminal studies in the 1980s, by Preston and Coale (1982) and Arthur and Vaupel (1984), generalized the Lotka equations developing the variable-r methods. OBJECTIVE: Time changes in sex ratios (males:females) are studied from the perspective of the variable-r method to estimate the contributions of fertility, mortality, and net-migration. METHODS: The time change in sex ratios can be calculated as a comparison of the growth rates …
Frail Males on the American Frontier: The Role of Environmental Harshness on Sex Ratios at Birth across a Period of Rapid Industrialization
While sex ratios at birth (SRB) have been shown to vary within and across populations, after over a century of research, explanations have remained elusive. A variety of ecological, demographic, economic, and social variables have been evaluated, yet their association with SRB has been equivocal. Here, in an attempt to shed light on this unresolved topic within the literature, we approach the question of what drives variation in SRB using detaile…
Sex ratios and life tables: Historical demography of the age at which women outnumber men in seven countries, 1850–2016
The male/female sex ratio (SR) and its age-specific patterns vary considerably across time and place. The SR generally begins male-biased at birth and becomes female-biased later in life, but this relationship should respond to historical trends and events. Temporal trends in SRs remain largely unstudied and formal demographic relationships are not well defined. We (1) define SRs in a life table framework, (2) estimate the age at which the number…
Frail Males on the American Frontier: The Role of Environmental Harshness on Sex Ratios at Birth across a Period of Rapid Industrialization
While sex ratios at birth (SRB) have been shown to vary within and across populations, after over a century of research, explanations have remained elusive. A variety of ecological, demographic, economic, and social variables have been evaluated, yet their association with SRB has been equivocal. Here, in an attempt to shed light on this unresolved topic within the literature, we approach the question of what drives variation in SRB using detaile…
Sex ratios and life tables: Historical demography of the age at which women outnumber men in seven countries, 1850–2016
The male/female sex ratio (SR) and its age-specific patterns vary considerably across time and place. The SR generally begins male-biased at birth and becomes female-biased later in life, but this relationship should respond to historical trends and events. Temporal trends in SRs remain largely unstudied and formal demographic relationships are not well defined. We (1) define SRs in a life table framework, (2) estimate the age at which the number…
Variable-r in sex ratios: Formulas in honor of Jim Vaupel
BACKGROUND: Two seminal studies in the 1980s, by Preston and Coale (1982) and Arthur and Vaupel (1984), generalized the Lotka equations developing the variable-r methods. OBJECTIVE: Time changes in sex ratios (males:females) are studied from the perspective of the variable-r method to estimate the contributions of fertility, mortality, and net-migration. METHODS: The time change in sex ratios can be calculated as a comparison of the growth rates …
Sex ratios and life tables: Historical demography of the age at which women outnumber men in seven countries, 1850–2016
The male/female sex ratio (SR) and its age-specific patterns vary considerably across time and place. The SR generally begins male-biased at birth and becomes female-biased later in life, but this relationship should respond to historical trends and events. Temporal trends in SRs remain largely unstudied and formal demographic relationships are not well defined. We (1) define SRs in a life table framework, (2) estimate the age at which the number…
Frail Males on the American Frontier: The Role of Environmental Harshness on Sex Ratios at Birth across a Period of Rapid Industrialization
While sex ratios at birth (SRB) have been shown to vary within and across populations, after over a century of research, explanations have remained elusive. A variety of ecological, demographic, economic, and social variables have been evaluated, yet their association with SRB has been equivocal. Here, in an attempt to shed light on this unresolved topic within the literature, we approach the question of what drives variation in SRB using detaile…
Disparities and determinants of place of death: Insights from the Utah Population Database
To better understand determinants and potential disparities in end of life, we model decedents' place of death with explanatory variables describing familial, social, and economic resources. A retrospective cohort of 204,041 decedents and their family members are drawn from the Utah Population Database family caregiving dataset. Using multinomial regression, we model place of death, categorized as at home, in a hospital, in another location, or u…
Variable-r in sex ratios: Formulas in honor of Jim Vaupel
BACKGROUND: Two seminal studies in the 1980s, by Preston and Coale (1982) and Arthur and Vaupel (1984), generalized the Lotka equations developing the variable-r methods. OBJECTIVE: Time changes in sex ratios (males:females) are studied from the perspective of the variable-r method to estimate the contributions of fertility, mortality, and net-migration. METHODS: The time change in sex ratios can be calculated as a comparison of the growth rates …
Mortality risk following end-of-life caregiving: A population-based analysis of hospice users and their families
Changes in numerators and denominators of death rates and their contributions to changes in life expectancy
Demographers use ratios, proportions, and rates-all calculated as counts in numerators divided by counts in denominators-as key research inputs. For age-specific death rates, the numerator is observed deaths and the denominator is person-years lived. Life expectancy summarizes those rates into one measure, and its changes convey messages of changing mortality across time. We examine the contributions from the two components of life expectancy cha…
Demography (5 works) · Population (5 works) · Sociology (5 works) · Computer Science (3 works) · Demographic Trends and Gender Preferences (3 works) · Demography (3 works) · Geography (3 works) · Gerontology (3 works) · Medicine (3 works) · Birth, Development, and Health (2 works)