The rate of country-level improvements of the infant mortality rate is mainly determined by previous history

Bremberg, Sven

doi:10.1093/eurpub/ckw059

Cited by 6 publications

(12 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We note that while in most cases the indicators mentioned above (and/or the covariates considered, see below) were taken in their absolute or logarithmic form, as a-typically annual -number, sometimes they were used in the form of differences, change rates, averages over a given time period, or even z-scores of rankings [19,22,40,42,44,[53][54][55][56][57].…”

Section: Health Outcomesmentioning

confidence: 99%

“…A number of national databases were referred to as well, for example the US Bureau of Statistics [42,53], Korean Statistical Information Services [67], Statistics Canada [67], Australian Bureau of Statistics [67], and Health New Zealand Tobacco control and Health New Zealand Food and Nutrition [19]. Well-known surveys, such as the World Values Survey [25,55], the European Social Survey [25,39,44], the Eurobarometer [46,56], the European Value Survey [25], and the European Statistics of Income and Living Condition Survey [43,47,70] were used as data sources, too. Finally, in some cases [25,28,29,35,36,41,69], built-for-purpose datasets from previous studies were re-used.…”

Section: Data Types and Sourcesmentioning

confidence: 99%

“…Furthermore, there were a few instances where two different time periods were compared to each other [42,53] or when data was divided into 2 to 4 (possibly overlapping) periods which were then analyzed separately [24,26,28,29,31,65]. Lastly, owing to data availability issues, discrepancies between the time points or periods of data on the different variables were occasionally observed [22,35,42,[53][54][55]63].…”

Section: Data Types and Sourcesmentioning

confidence: 99%

“…Purely cross-sectional data analyses were performed in eight studies [25,45,47,50,55,56,67,71]. These consisted of linear regression (assumed ordinary least squares (OLS)), generalized least squares (GLS) regression, and multilevel analyses.…”

Section: Plos Onementioning

confidence: 99%

See 3 more Smart Citations

Recent quantitative research on determinants of health in high income countries: A scoping review

Varbanova

Beutels

2020

PLoS ONE

View full text Add to dashboard Cite

Background Identifying determinants of health and understanding their role in health production constitutes an important research theme. We aimed to document the state of recent multi-country research on this theme in the literature. Methods We followed the PRISMA-ScR guidelines to systematically identify, triage and review literature (January 2013-July 2019). We searched for studies that performed cross-national statistical analyses aiming to evaluate the impact of one or more aggregate level determinants on one or more general population health outcomes in high-income countries. To assess in which combinations and to what extent individual (or thematically linked) determinants had been studied together, we performed multidimensional scaling and cluster analysis. Results Sixty studies were selected, out of an original yield of 3686. Life-expectancy and overall mortality were the most widely used population health indicators, while determinants came from the areas of healthcare, culture, politics, socio-economics, environment, labor, fertility, demographics, lifestyle , and psychology. The family of regression models was the predominant statistical approach. Results from our multidimensional scaling showed that a relatively tight core of determinants have received much attention, as main covariates of interest or controls, whereas the majority of other determinants were studied in very limited contexts. We consider findings from these studies regarding the importance of any given health determinant inconclusive at present. Across a multitude of model specifications, different country samples, and varying time periods, effects fluctuated between statistically significant and not significant, and between beneficial and detrimental to health. Conclusions We conclude that efforts to understand the underlying mechanisms of population health are far from settled, and the present state of research on the topic leaves much to be desired. It

show abstract

Section: Health Outcomesmentioning

confidence: 99%

Section: Data Types and Sourcesmentioning

confidence: 99%

Section: Data Types and Sourcesmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

See 2 more Smart Citations

Recent quantitative research on determinants of health in high income countries: A scoping review

Varbanova

Beutels

2020

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…During any one study period, different nations start at varying levels. Thus, the mortality rate at a given point in time may be understood as the combined result of previous and current exposures [25]. Accordingly, in analysing determinants, it is appropriate to study the rate of improvement in mortality as an outcome, rather than the mortality rate during a given period of time.…”

Section: The Present Studymentioning

confidence: 99%

Early Childhood Conditions and Old-Age Mortality

Bremberg¹

2018

TOPHJ

Self Cite

View full text Add to dashboard Cite

Background:Early life conditions might determine adult mortality. The literature, however, both support and contradict this proposition. In most studies, the outcome has been the mortality rates in a given period of time. These rates represent the combined result of both previous and current exposures. Therefore, it is more apt to study the rate of improvement as an outcome, rather than mortality rates in a given period of time.Objective:The effects of early-life conditions, assessed as mortality rates at ages 0 and 1-4, and the effects of indicators of available resources in adult life were analysed.Methods:The outcomes were the decrease in the national rates of mortality in three age groups, aged 24-34, 35-54 and 55-74, in 18 OECD countries over the years 1990-2010. The effects were analysed in linear multiple regression models using least squares, controlling for country-specific historical constants, which represent the mortality rates in 1990.Results:Among the 24-34 and 35-54 year-olds, neither early-life indicators nor resource indicators significantly affected the regression equations. Among the 55-74 year-olds, however, in the model including the mortality rate at age 0 in 1940-49, the explanatory value of the equation in question increased from 65 to 79%, and the effect of mortality rate at age 0 was statistically significant.Conclusion:Significant effects of early-life conditions on the rate of decrease in mortality were found, but only in the oldest age group. This finding is consistent with Gavrilov’s reliability theory of aging.Key Points• Mortality rates have decreased almost linearly in recent decades in OECD countries.• Most of the variation between countries seemed to be determined by past history and the catch-up of nations that have previously lagged behind.• A significant effect of early-life conditions on the rate of decrease in mortality was found, but only in the 55-74 year-olds, not in the 24-34 and 35-54 year-olds.

show abstract

Suicide rates in European OECD nations converged during the period 1990–2010

Bremberg

2017

Soc Psychiatry Psychiatr Epidemiol

View full text Add to dashboard Cite

show abstract

The rate of country-level improvements of the infant mortality rate is mainly determined by previous history

Abstract: Taking into account the historical development of the IMR will critically affect correlations between country-level determinants and the IMR.

Cited by 6 publications

References 19 publications

Recent quantitative research on determinants of health in high income countries: A scoping review

Recent quantitative research on determinants of health in high income countries: A scoping review

Early Childhood Conditions and Old-Age Mortality

Suicide rates in European OECD nations converged during the period 1990–2010

Contact Info

Product

Resources

About