Sentence examples for mortality differentials between from inspiring English sources

An early study by Mackenbach et al. [ 23] suggests that medical care can have had an impact on widening of total mortality differentials between socio-economic groups between 1931 and 1981 in England and Wales and between 1952 and 1982 in The Netherlands.

To examine age- and cause-specific injury mortality differentials between low-income (LICs), middle-income (MICs) and high-income countries (HICs), and to discuss their implications in explaining changing injury mortality patterns with economic development against the background of general health transition theory.

In South Africa, Welaga described the mortality differentials between migrants and nonmigrants in a rural community in South Africa (11).

More attention should also be devoted to the mortality differentials between the capital city, other urban areas and the rest of the country.

However, as the sensitivity of college or higher education was generally greater than that of no education and the pattern did not vary with covariates, it can be suggested that educational mortality differentials between no education and college or higher education in the previous study [ 6] were underestimated.

Ethnic minority groups are more likely to live in areas of deprivation, however, analyses have shown that socioeconomic status explains little or none of the mortality differentials between ethnic groups [ 8, 9] although it does explain some of the variation in birthweight [ 10].

16 Such channelling of survivors likely decreases the mortality differential between CKD and dialysis patients.

This analysis suggests a very large mortality differential between these two problems exacerbated by globalization, international terrorism and tobacco use.

Nevertheless, the large mortality differential between international terrorism and tobacco use has policy implications for informing the rational use of resources to prevent premature death.

The odds ratio corrected for selection bias was estimated with the following formula, where p is the attendance rate and ϕ is the crude uncorrected odds ratio and Dr is the mortality differential between never-respondent and not-yet-invited women: To estimate the mortality differential Dr, the odds ratio of never-respondent to not-yet-invited women was calculated.

The extent to which care is suboptimal and the acute and long-term HF management among Aboriginal clients could be contributing to the large and growing cardiovascular mortality differentials seen between Aboriginal and non-Aboriginal clients.