Evidence map›Paper›PMID 26678502›Full record

Observational studyThe international journal of behavioral nutrition and physical activity2015

Impact of changes in television viewing time and physical activity on longevity: a prospective cohort study.

Sarah Kozey Keadle, Hannah Arem, Steven C Moore, Joshua N Sampson, Charles E Matthews

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in The international journal of behavioral nutrition and physical activity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00340015 (NCI-AARP Diet and Health Study), which is not on this map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00340015 completednot on this map

NCI-AARP Diet and Health Study

TypeobservationalSponsorNational Cancer Institute (NCI)Ran1995 to 2015Enrolled566,401ConditionsDeath, Cancer
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. The Feasibility and Effectiveness of a Community-Based Intervention to Reduce Sedentary Behavior in Older Adults.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sarah Kozey KeadleNutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. sarah.keadle@nih.gov.
Hannah AremNutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Steven C MooreNutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Joshua N SampsonBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Charles E MatthewsNutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.

Funding

Prospective Studies of Diet and Cancer in the AARP CohortZIACP010196 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2025
$21.0M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundTelevision viewing is a highly prevalent sedentary behavior among older adults, yet the mortality risks associated with hours of daily viewing over many years and whether increasing or decreasing viewing time affects mortality is unclear. This study examined: 1) the long-term association between mortality and daily viewing time; 2) the influence of reducing and increasing in television viewing time on longevity and 3) combined effects of television viewing and moderate-to-vigorous physical activity (MVPA) on longevity.

methodsParticipants included 165,087 adults in the NIH-AARP Diet and Health (aged 50-71 yrs) who completed questionnaires at two-time-points (Time 1: 1994-1996, and Time 2: 2004-2006) and were followed until death or December 31, 2011. Multivariable-adjusted Cox proportional hazards regression was used to estimate Hazard Ratios and 95% confidence intervals (CI) with self-reported television viewing and MVPA and all-cause mortality.

resultsOver 6.6 years of follow-up, there were 20,104 deaths. Compared to adults who watched < 3 h/day of television at both time points, mortality risk was 28% greater (CI:1.21,1.34) those who watched 5+ h/day at both time-points. Decreasing television viewing from 5 + h/day to 3-4 h/d was associated with a 15% reduction in mortality risk (CI:0.80, 0.91) and decreasing to <3 h/day resulted in an 12% lower risk (CI:0.79, 0.97). Conversely, adults who increased their viewing time to 3-4 h/day had an 17% greater mortality risk (CI:1.10, 1.24) and those who increased to 5+ h/day had a 45% greater risk (CI:1.32, 1.58), compared to those who consistently watched <3 h/day. The lowest mortality risk was observed in those who were consistently active and watched < 3 h/day of television.

conclusionsWe confirm that prolonged television viewing time was associated with greater mortality in older adults and demonstrate for the first time that individuals who reduced the amount of time they spent watching television had lower mortality. Our findings provide new evidence to support behavioral interventions that seek to reduce sedentary television viewing in favor of more physically active pursuits, preferably MVPA. Given the high prevalence of physical inactivity and prolonged television viewing in older adults, favorable changes in these two modifiable behaviors could have substantial public health impact.

trial registrationClinicalTrials.gov number, NCT00340015.

Indexed as

ExerciseLife ExpectancyLongevityRecreationSedentary BehaviorTelevisionAgedCohort StudiesDietFemaleHumansMaleMiddle AgedMortalityProportional Hazards ModelsProspective Studies

Identifiers

PMID26678502
PMCPMC4683741

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.