Göran Broström
Biographic Data
| ID | 224912 |
|---|---|
| NAME | Göran Broström |
| GIVEN NAMES | Göran |
| FAMILY NAME | Broström |
| SIGNATURE | BROSTRÖM G |
| AFFILIATIONS | Umeå University |
| ORCID | 0000-0003-4535-2627 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 68 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1985 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 3 |
You Are By No Means Alone
Online peer-to-peer communities provide environments in which people with similar health concerns can interact and exchange information that can support self-care of long-term conditions. However, current theories have not adequately accounted for how self-care support is enacted in online communities. We conducted an observational netnography to identify and analyze posts in a publicly accessible online community (discussion forum boards) design…
Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden
This contribution is part of an international comparative initiative with the aim to assess the analytical power of the Intermediate Data Structure (IDS) in a study of possible intergenerational transmissions of death in infancy. An evaluation of the data in applied research will be useful for further development of the IDS structure and for its future use in comparative research. An additional methodological aim for this part of the study is to …
On Statistical Methods for Clustering
This article considers the interfamily clustering of infant mortality (defined as mortality during the first year of life). We developed and evaluated statistical tools to detect clustering and a measure to quantify excess clustering for nineteenth-century data from Skellefteå, Sweden. The detection was performed using the standard methods of generalized linear models and logistic regression. The index of clustering was constructed by comparing t…
Old age, health and social inequality
Social position is one of the major determinants of health. Less is known about its effect in historical contexts. Previous studies have shown surprisingly small effects of social class in working age populations. Not much is known about social differences
Who is using snus? - Time trends, socioeconomic and geographic characteristics of snus users in the ageing Swedish population
A disadvantaged social profile and also higher prevalence in rural areas is observed among male snus users who had never smoked or were previous smokers. Among male smokers there was no association between SES and use of snus. The prevalence of snus use among women is increasing, but is still considerably lower than that of men. The association between snus and SES characteristics is less pronounced among women, although snus is clearly linked to…
Do conditions in early life affect old-age mortality directly and indirectly? Evidence from 19th-century rural Sweden
High-risk families
An analysis of infant mortality (based on 133,448 births) in two regions, Sundsvall and Skellefteå, in north-eastern Sweden during the nineteenth century shows that infant mortality was highly clustered with a relatively small number of families accounting for a large proportion of all infant deaths. Using logistic regression, two important factors were found to be associated with high-risk families: (i) a biological component evidenced by an ove…
The Family and Mortality
Les différences de mortalité entre les familles fournissent un indice de l'importance des comportements inobservés conditionnant à la santé. Par exemple, si la plus faible mortalité était due à des attitudes personnelles apprises au cours de l'enfance, elle devrait se manifester jusqu'aux âges élevés. Dans cet article sont utilisées des données provenant d'une commune belge, au xix e siècle, afin de préciser les différences de mortalité entre les…
Distinguishing Time-Series Models by Impulse Response
Distinguishing time series models by impulse response-A case study of mortality and population economy
Life-Histories for Nineteenth-Century Swedish Hospital Patients
The life histories of nineteenth-century Swedish hospital patients challenge the notion that hospitals were mainly occupied with the "industrious poor," and gives some support to the idea that hospitals were "death-traps." The latter idea is reviewed through an examination of the treatment of various diseases and of the life expectancies after dismissal in comparison with the life expectancies of people who never had to enter a hospital. The stud…
Practical aspects on the estimation of the parameters in Coale’s model for marital fertility
This paper demonstrates the estimation of the parameters in the Coale model for marital fertility by the maximum likelihood method, under the assumption of a simple Poisson process model. The necessary calculations are easily performed in the statistical computer program package GLIM, and the necessary commands are noted. Without access to GLIM, or any equivalent, it is still possible to fit the model approximately by the use of any weighted fine…
Do conditions in early life affect old-age mortality directly and indirectly? Evidence from 19th-century rural Sweden
High-risk families
An analysis of infant mortality (based on 133,448 births) in two regions, Sundsvall and Skellefteå, in north-eastern Sweden during the nineteenth century shows that infant mortality was highly clustered with a relatively small number of families accounting for a large proportion of all infant deaths. Using logistic regression, two important factors were found to be associated with high-risk families: (i) a biological component evidenced by an ove…
Practical aspects on the estimation of the parameters in Coale’s model for marital fertility
This paper demonstrates the estimation of the parameters in the Coale model for marital fertility by the maximum likelihood method, under the assumption of a simple Poisson process model. The necessary calculations are easily performed in the statistical computer program package GLIM, and the necessary commands are noted. Without access to GLIM, or any equivalent, it is still possible to fit the model approximately by the use of any weighted fine…
Old age, health and social inequality
Social position is one of the major determinants of health. Less is known about its effect in historical contexts. Previous studies have shown surprisingly small effects of social class in working age populations. Not much is known about social differences
You Are By No Means Alone
Online peer-to-peer communities provide environments in which people with similar health concerns can interact and exchange information that can support self-care of long-term conditions. However, current theories have not adequately accounted for how self-care support is enacted in online communities. We conducted an observational netnography to identify and analyze posts in a publicly accessible online community (discussion forum boards) design…
On Statistical Methods for Clustering
This article considers the interfamily clustering of infant mortality (defined as mortality during the first year of life). We developed and evaluated statistical tools to detect clustering and a measure to quantify excess clustering for nineteenth-century data from Skellefteå, Sweden. The detection was performed using the standard methods of generalized linear models and logistic regression. The index of clustering was constructed by comparing t…
Distinguishing Time-Series Models by Impulse Response
Distinguishing time series models by impulse response-A case study of mortality and population economy
Life-Histories for Nineteenth-Century Swedish Hospital Patients
The life histories of nineteenth-century Swedish hospital patients challenge the notion that hospitals were mainly occupied with the "industrious poor," and gives some support to the idea that hospitals were "death-traps." The latter idea is reviewed through an examination of the treatment of various diseases and of the life expectancies after dismissal in comparison with the life expectancies of people who never had to enter a hospital. The stud…
Practical aspects on the estimation of the parameters in Coale’s model for marital fertility
This paper demonstrates the estimation of the parameters in the Coale model for marital fertility by the maximum likelihood method, under the assumption of a simple Poisson process model. The necessary calculations are easily performed in the statistical computer program package GLIM, and the necessary commands are noted. Without access to GLIM, or any equivalent, it is still possible to fit the model approximately by the use of any weighted fine…
Life-Histories for Nineteenth-Century Swedish Hospital Patients
The life histories of nineteenth-century Swedish hospital patients challenge the notion that hospitals were mainly occupied with the "industrious poor," and gives some support to the idea that hospitals were "death-traps." The latter idea is reviewed through an examination of the treatment of various diseases and of the life expectancies after dismissal in comparison with the life expectancies of people who never had to enter a hospital. The stud…
Distinguishing Time-Series Models by Impulse Response
Distinguishing time series models by impulse response-A case study of mortality and population economy
The Family and Mortality
Les différences de mortalité entre les familles fournissent un indice de l'importance des comportements inobservés conditionnant à la santé. Par exemple, si la plus faible mortalité était due à des attitudes personnelles apprises au cours de l'enfance, elle devrait se manifester jusqu'aux âges élevés. Dans cet article sont utilisées des données provenant d'une commune belge, au xix e siècle, afin de préciser les différences de mortalité entre les…
High-risk families
An analysis of infant mortality (based on 133,448 births) in two regions, Sundsvall and Skellefteå, in north-eastern Sweden during the nineteenth century shows that infant mortality was highly clustered with a relatively small number of families accounting for a large proportion of all infant deaths. Using logistic regression, two important factors were found to be associated with high-risk families: (i) a biological component evidenced by an ove…
Do conditions in early life affect old-age mortality directly and indirectly? Evidence from 19th-century rural Sweden
Who is using snus? - Time trends, socioeconomic and geographic characteristics of snus users in the ageing Swedish population
A disadvantaged social profile and also higher prevalence in rural areas is observed among male snus users who had never smoked or were previous smokers. Among male smokers there was no association between SES and use of snus. The prevalence of snus use among women is increasing, but is still considerably lower than that of men. The association between snus and SES characteristics is less pronounced among women, although snus is clearly linked to…
On Statistical Methods for Clustering
This article considers the interfamily clustering of infant mortality (defined as mortality during the first year of life). We developed and evaluated statistical tools to detect clustering and a measure to quantify excess clustering for nineteenth-century data from Skellefteå, Sweden. The detection was performed using the standard methods of generalized linear models and logistic regression. The index of clustering was constructed by comparing t…
Old age, health and social inequality
Social position is one of the major determinants of health. Less is known about its effect in historical contexts. Previous studies have shown surprisingly small effects of social class in working age populations. Not much is known about social differences
Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden
This contribution is part of an international comparative initiative with the aim to assess the analytical power of the Intermediate Data Structure (IDS) in a study of possible intergenerational transmissions of death in infancy. An evaluation of the data in applied research will be useful for further development of the IDS structure and for its future use in comparative research. An additional methodological aim for this part of the study is to …
You Are By No Means Alone
Online peer-to-peer communities provide environments in which people with similar health concerns can interact and exchange information that can support self-care of long-term conditions. However, current theories have not adequately accounted for how self-care support is enacted in online communities. We conducted an observational netnography to identify and analyze posts in a publicly accessible online community (discussion forum boards) design…
Demography (10 works) · Sociology (9 works) · Population (8 works) · Health disparities and outcomes (7 works) · Insurance, Mortality, Demography, Risk Management (5 works) · Mathematics (5 works) · Demography (4 works) · Infant mortality (4 works) · Medicine (4 works) · Statistics (4 works)