Sedentary behaviour and life expectancy in the USA: a cause-deleted life table analysis.
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ABSTRACT: Objectives
To determine the impact of sitting and television viewing on life expectancy in the USA.Design
Prevalence-based cause-deleted life table analysis.Setting
Summary RRs of all-cause mortality associated with sitting and television viewing were obtained from a meta-analysis of available prospective cohort studies. Prevalences of sitting and television viewing were obtained from the US National Health and Nutrition Examination Survey.Primary outcome measure
Life expectancy at birth.Results
The estimated gains in life expectancy in the US population were 2.00 years for reducing excessive sitting to <3 h/day and a gain of 1.38 years from reducing excessive television viewing to <2 h/day. The lower and upper limits from a sensitivity analysis that involved simultaneously varying the estimates of RR (using the upper and lower bounds of the 95% CI) and the prevalence of television viewing (±20%) were 1.39 and 2.69 years for sitting and 0.48 and 2.51 years for television viewing, respectively.Conclusion
Reducing sedentary behaviours such as sitting and television viewing may have the potential to increase life expectancy in the USA.
SUBMITTER: Katzmarzyk PT
PROVIDER: S-EPMC3400064 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
Publications
Sedentary behaviour and life expectancy in the USA: a cause-deleted life table analysis.
Katzmarzyk Peter T PT Lee I-Min IM
BMJ open 20120709 4
To determine the impact of sitting and television viewing on life expectancy in the USA. Prevalence-based cause-deleted life table analysis. Summary RRs of all-cause mortality associated with sitting and television viewing were obtained from a meta-analysis of available prospective cohort studies. Prevalences of sitting and television viewing were obtained from the US National Health and Nutrition Examination Survey. Life expectancy at birth. The estimated gains in life expectancy in the US popu ...[more]
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Project description:ObjectivesTo analyse the transitions of disability onset and recovery, estimate life expectancy (LE) with and without disability and explore the relation between insurance and disability patterns in the population aged 50+ in Mexico.DesignMultistate life table analysis of data from a longitudinal cohort survey.SettingData came from the Mexican Health and Aging Study, a longitudinal and representative survey of older adults in Mexico.Participants10 651 individuals aged 50+ interviewed in 2012 and 2015, including those who died between waves.Primary and secondary outcome measuresDisability is measured using the activities of daily living (ADL) scale. Transition rates between disability free, ADL disabled and death were employed to estimate total life expectancy (TLE) and disability-free life expectancy (DFLE).Results46% of the individuals who reported an ADL limitation in 2012 recover from disability by 2015. TLE at age 60 for people without ADL limitations is 30 years (95% CI 28.9 to 31), out of which 4.7 years (95% CI 4.1 to 5.4) are lived with ADL limitations, while TLE at age 60 in the initially disabled is 18.7 years (95% CI 17.3 to 20), with 9.4 years (95% CI 8.4 to 10.3) lived with disability. DFLE at age 60 in people with social security is 24.2 years (95% CI 23.3 to 25.2), in people with public insurance is 24.6 years (95% CI 23.7 to 25.4) and in uninsured people is 26.9 years (95% CI 25.9 to 27.9).ConclusionsIn Mexico, a substantial proportion of ADL disabled individuals recover from disability. Nevertheless, initially disabled individuals have a considerably lower DFLE regardless of age when compared with initially active individuals. There appeared to be no differences in terms of disability and LEs between the individuals with social security and public insurance.
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| S-EPMC4626102 | biostudies-literature
Project description:BackgroundThere are large and persistent disparities in life expectancy among racial-ethnic groups in the USA, but the extent to which these patterns vary geographically on a local scale is not well understood. This analysis estimated life expectancy for five racial-ethnic groups, in 3110 US counties over 20 years, to describe spatial-temporal variations in life expectancy and disparities between racial-ethnic groups.MethodsWe applied novel small-area estimation models to death registration data from the US National Vital Statistics System and population data from the US National Center for Health Statistics to estimate annual sex-specific and age-specific mortality rates stratified by county and racial-ethnic group (non-Latino and non-Hispanic White [White], non-Latino and non-Hispanic Black [Black], non-Latino and non-Hispanic American Indian or Alaska Native [AIAN], non-Latino and non-Hispanic Asian or Pacific Islander [API], and Latino or Hispanic [Latino]) from 2000 to 2019. We adjusted these mortality rates to correct for misreporting of race and ethnicity on death certificates and then constructed abridged life tables to estimate life expectancy at birth.FindingsBetween 2000 and 2019, trends in life expectancy differed among racial-ethnic groups and among counties. Nationally, there was an increase in life expectancy for people who were Black (change 3·9 years [95% uncertainty interval 3·8 to 4·0]; life expectancy in 2019 75·3 years [75·2 to 75·4]), API (2·9 years [2·7 to 3·0]; 85·7 years [85·3 to 86·0]), Latino (2·7 years [2·6 to 2·8]; 82·2 years [82·0 to 82·5]), and White (1·7 years [1·6 to 1·7]; 78·9 years [78·9 to 79·0]), but remained the same for the AIAN population (0·0 years [-0·3 to 0·4]; 73·1 years [71·5 to 74·8]). At the national level, the negative difference in life expectancy for the Black population compared with the White population decreased during this period, whereas the negative difference for the AIAN population compared with the White population increased; in both cases, these patterns were widespread among counties. The positive difference in life expectancy for the API and Latino populations compared with the White population increased at the national level from 2000 to 2019; however, this difference declined in a sizeable minority of counties (615 [42·0%] of 1465 counties) for the Latino population and in most counties (401 [60·2%] of 666 counties) for the API population. For all racial-ethnic groups, improvements in life expectancy were more widespread across counties and larger from 2000 to 2010 than from 2010 to 2019.InterpretationDisparities in life expectancy among racial-ethnic groups are widespread and enduring. Local-level data are crucial to address the root causes of poor health and early death among disadvantaged groups in the USA, eliminate health disparities, and increase longevity for all.FundingNational Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institute on Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Office of Disease Prevention; and Office of Behavioral and Social Science Research, US National Institutes of Health.
| S-EPMC9256789 | biostudies-literature
Project description:BackgroundDaily time spent in sleep, sedentary behaviour (SED), light intensity physical activity (LIPA), and moderate-to-vigorous intensity physical activity (MVPA) are compositional, co-dependent variables. The objectives of this study were to use compositional data analysis to: (1) examine the relationship between the movement behaviour composition (daily time spent in sleep, SED, LIPA and MVPA) and all-cause mortality risk, and (2) estimate the extent to which changing time spent in any given movement behaviour (sleep, SED, LIPA, or MVPA) within the movement behaviour composition was associated with changes in risk of all-cause mortality.Methods2838 adult participants from the 2005-2006 cycle of the U.S. National Health and Nutrition Examination Survey were studied using a prospective cohort design. Daily time spent in SED, LIPA and MVPA were determined by accelerometer. Nightly time spent sleeping was self-reported. Survey data were linked with mortality data through to the end of December 2015. Compositional data analysis was used to investigate relationships between the movement behaviour composition and mortality.ResultsThe movement behaviour composition was significantly associated with mortality risk. Time spent in MVPA relative to other movement behaviours was negatively associated with mortality risk (HR = .74; 95% CI [.67, .83]) while relative time spent in SED was positively associated with mortality risk (HR = 1.75; 95% CI [1.10, 2.79]). Time displacement estimates revealed that the greatest estimated changes in mortality risk occurred when time spent in MVPA was decreased and replaced with sleep, SED, LIPA or a combination of these behaviours (HRs of 1.76 to 1.80 for 15 min/day displacements).ConclusionsThe daily movement behaviour composition was related to mortality. Replacing time in MVPA or SED with equivalent time from any other movement behaviour was associated with an increase and decrease in mortality risk, respectively.
| S-EPMC7866642 | biostudies-literature
Project description:Objective: To characterize miRNAs in 41-year archived plasma in relation to life expectancy independent of genes. Method: Plasma miRNAs from nine identical male twins were profiled using next-generation sequencing. Results: The average absolute difference in the minimum life expectancy was 9.68 years. Intra-class correlation coefficients were above 0.4 for 50% of miRNAs. Comparing deceased twins with their alive co-twin brothers, the concentrations were increased for 34 but decreased for 30 miRNAs. Conclusion: Identical twins discordant in life expectancy were unlike in the majority of miRNAs, suggesting that environmental factors are pivotal in miRNAs related to life expectancy.
2016-12-30 | GSE80730 | GEO