Evidence map›Paper›PMID 29771295›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2019

The Association Between Objectively Measured Physical Activity and Subsequent Health Care Utilization in Older Men.

Lisa Langsetmo, Allyson M Kats, Peggy M Cawthon, Jane A Cauley, Tien N Vo, Brent C Taylor, Marcia L Stefanick, Nancy E Lane, Katie L Stone, Eric S Orwoll and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 36% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

13 authors at 8 institutions in 1 country.

Lisa LangsetmoDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis.
Allyson M KatsDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis.
Peggy M CawthonCalifornia Pacific Medical Center Research Institute, San Francisco.
Jane A CauleyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
Tien N VoDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis.
Brent C TaylorDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis.
Marcia L StefanickDepartment of Medicine, Stanford University, California.
Nancy E LaneCenter for Musculoskeletal Health and Department of Internal Medicine, University of California Medical Center, Sacramento.
Katie L StoneCalifornia Pacific Medical Center Research Institute, San Francisco.
Eric S OrwollBone and Mineral Unit, Oregon Health & Science University, Portland.
John T SchousboeHealthPartners Institute, Bloomington, Minnesota.
Kristine E EnsrudDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis.
Osteoporotic Fractures in Men (MrOS) Study Group
University of Minnesota · USCalifornia Pacific Medical Center · USMinneapolis VA Health Care System · USHealthPartners · USOregon Health & Science University · USStanford University · USUniversity of California Davis Medical Center · USUniversity of Pittsburgh · US

Funding

Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
Osteoporotic Fractures in Men (MrOS) - San Francisco Coordinating CenterU01AR066160 · NIAMS · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON · 2013 to 2017
$9.3M
Osteoporotic Fractures in Men (MrOS) - MinneapolisU01AG042145 · NIA · UNIVERSITY OF MINNESOTA · PI ENSRUD, KRISTINE · 2013 to 2019
$5.3M
Osteporotic Fractures in Men (MrOS)- Admin CenterU01AG027810 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2017
$5.1M
Osteoporotic Fractures in Men (MrOS) - PortlandU01AG042124 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2013 to 2019
$3.0M
Osteoporatic Fractures in Men (MrOS)U01AG042168 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KADO, DEBORAH · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr. Os) Palo AltoU01AG042143 · NIA · STANFORD UNIVERSITY · PI STEFANICK, MARCIA L. · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr.OS)U01AG042139 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE ANN · 2013 to 2017
$2.9M
Osteoporotic Fractures in Men_MrOS Renewal_BirminghamU01AG042140 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SHIKANY, JAMES M · 2013 to 2019
$2.7M
NCATS NIH HHS UL1 TR000128NIAMS NIH HHS U01 AR066160NIA NIH HHS U01 AG027810NIA NIH HHS U01 AG042124NIA NIH HHS U01 AG042139NIA NIH HHS U01 AG042140NIA NIH HHS U01 AG042143NIA NIH HHS U01 AG042145NIA NIH HHS U01 AG042168
6 · The paper itself

Abstract

backgroundTo examine the associations between objective physical activity measures and subsequent health care utilization.

methodsWe studied 1,283 men (mean age 79.1 years, SD 5.3) participating in the Osteoporotic Fractures in Men Study. Participants wore a SenseWear® Pro Armband monitor for 1 week. Data was summarized as daily (i) step counts, (ii) total energy expenditure, (iii) active energy expenditure, and (iv) activity time (sedentary, ≥ light, ≥ moderate). The outcome measures of 1-year hospitalizations/duration of stay from Medicare data were analyzed with a two-part hurdle model. Covariates included age, clinical center, body mass index, marital status, depressive symptoms, medical conditions, cognitive function, and prior hospitalization.

resultsEach 1 SD = 3,092 step increase in daily step count was associated with a 34% (95% confidence interval [CI]: 19%-46%) lower odds of hospitalization in base model (age and center) and 21% (95% CI: 4%-35%) lower odds of hospitalization in fully adjusted models. Similar but smaller associations held for other physical activity measures, but these associations were not significant in fully adjusted models. Among those hospitalized, higher step count was associated with shorter total duration of acute/postacute care stays in the base model only. There was a fourfold significant difference (from model-based estimates) in predicted care days comparing those with 2,000 versus 10,000 daily steps in the base model, but only a twofold difference (not significant) in the full model.

conclusionDaily step count is an easily determined measure of physical activity that may be useful in assessment of future health care burden in older men.

Indexed as

ExercisePatient Acceptance of Health CareAgedEnergy MetabolismHospitalizationHumansLength of StayMaleMedicareUnited StatesWalkingWearable Electronic DevicesHealth care utilizationHospitalizationObjective physical activityOlder menStep count

Identifiers

PMID29771295
PMCPMC6521915
OpenAlexW2794490953

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.