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Results for “Length Of Life”

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At least 37 records · Page 2Linked to original sources
PubMed2006

Linked versus unlinked estimates of mortality and length of life by education and marital status: evidence from the first record linkage study in Lithuania.

Earlier studies have found large and increasing with time differences in mortality by education and marital status in post-Soviet countries. Their results are based on independent tabulations of population and deaths counts (unlinked data). The present study provides the first census-linked estimates of group-specific mortality and the first comparison between census-linked and unlinked mortality estimates for a post-Soviet country. The study is based on a data set linking 140,000 deaths occurring in 2001-2004 in Lithuania with the population census of 2001. The same socio-demographic information about the deceased is available from both the census and death records. Cross-tabulations and Poisson regressions are used to compare linked and unlinked data. Linked and unlinked estimates of life expectancies and mortality rate ratios are calculated with standard life table techniques and Poisson regressions. For the two socio-demographic variables under study, the values from the death records partly differ from those from the census records. The deviations are especially significant for education, with 72-73%, 66-67%, and 82-84% matching for higher education, secondary education, and lower education, respectively. For marital status, deviations are less frequent. For education and marital status, unlinked estimates tend to overstate mortality in disadvantaged groups and they understate mortality in advantaged groups. The differences in inter-group life expectancy and the mortality rate ratios thus are significantly overestimated in the unlinked data. Socio-demographic differences in mortality previously observed in Lithuania and possibly other post-Soviet countries are overestimated. The growth in inequalities over the 1990s is real but might be overstated. The results of this study confirm the existence of large and widening health inequalities but call for better data.

Adult↗
PubMed1978

Body weight increment and length of life: the effect of genetic constitution and dietary protein.

Groups of inbred A/J and C57BL/6J mice and hybrid F1 mice were fed low dietary protein (4% casein) or normal dietary protein (26% casein), with 50 mice in each of the six subgroups. For individual mice within subgroups, growth rate was negatively related to longevity; i.e., the slower the rate of growth the greater the life-span. Between subgroups, the longer the mean growth duration, the longer the mean lifespan. Positive relationships were obtained within subgroups for peak body weight and longevity. It is concluded that, for mice, slowing the rate of growth and increasing growth duration results in a significant increase in the life-span, and the life-span increment is not related to high peak body weight since high body weight, per se, was not correlated with life-span.

Animals↗
PubMed1988

Integrated reporting of quality and length of life--a statistician's perspective.

The reporting of trials has been dominated by a concentration on single measures of response, such as survival or extent of side-effects, perhaps selected as giving an impressive P value for treatment comparisons. Relevant questions about trade-offs are seldom answered or even envisaged in the trial design. Cardiovascular trials should provide evidence on quality of life after myocardial infarction or during antihypertensive therapy. Examples from oncology are used to illustrate how the robustness of treatment recommendation can be explored through a grid of quality adjustments, ranging from complete intolerance of side-effects to absolute acceptance of them. Treatment recommendations may need to be specific to patients unless they are independent of the system of quality adjustment used.

Aged↗