Evidence map›Paper›PMID 36346815›Full record

ArticlePloS one2022

Co-occurrences of fall-related factors in adults aged 60 to 85 years in the United States National Health and Nutrition Examination Survey.

Shirley Rietdyk, Satyajit Ambike, Steve Amireault, Jeffrey M Haddad, Guang Lin, David Newton, Elizabeth A Richards

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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.

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

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event.Journal of the Royal Statistical Society. Series C, Applied statistics · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Observational
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

7 authors.

Shirley RietdykDepartment of Health and Kinesiology, Purdue University, West Lafayette, Indiana, United States of America.ORCID 0000-0002-4990-3943
Satyajit AmbikeDepartment of Health and Kinesiology, Purdue University, West Lafayette, Indiana, United States of America.ORCID 0000-0003-0521-860X
Steve AmireaultDepartment of Health and Kinesiology, Purdue University, West Lafayette, Indiana, United States of America.
Jeffrey M HaddadDepartment of Health and Kinesiology, Purdue University, West Lafayette, Indiana, United States of America.
Guang LinData Science Consulting Service, Purdue University, West Lafayette, Indiana, United States of America.
David NewtonData Science Consulting Service, Purdue University, West Lafayette, Indiana, United States of America.
Elizabeth A RichardsCenter on Aging and the Life Course, Purdue University, West Lafayette, Indiana, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A broad set of factors are associated with falling (e.g., age, sex, physical activity, vision, health), but their co-occurrence is understudied. Our objectives were to quantify the number and pattern of co-occurring fall-related factors. Data were obtained from the U.S. National Health and Nutrition Examination Survey (N = 1,957, 60-85 years). Twenty fall-related factors were included (based on previous research), covering a wide range including cognitive, motor, sensory, health, and physical activity measures. The number and pattern of co-occurring fall-related factors were quantified with logistic regression and cluster analyses, respectively. Most participants (59%) had ≥4 fall-risk factors, and each additional risk factor increased the odds of reporting difficulty with falling by 1.28. The identified clusters included: (1) healthy, (2) cognitive and sensory impaired, and (3) health impaired. The mean number of co-occurring fall-related factors was 3.7, 3.8, and 7.2, for clusters 1, 2, and 3, respectively (p<0.001). These observations indicate that co-occurrence of multiple fall-risk factors was common in this national sample of U.S. older adults and the factors tended to aggregate into distinct clusters. The findings support the protective effect of physical activity on fall-risk, the association between gait speed and falls, and the detrimental effect of health-related factors on difficulty with falls (e.g., arthritis, prescription medications). Cluster analyses revealed a complex interplay between sex and BMI that may alter the role of BMI in the etiology of falls. Cluster analyses also revealed a large detrimental effect of health-related factors in cluster 3; it is important to extend current fall interventions (typically focused on balance, flexibility, strength, cognitive, fear factors) to include health-related interventions that target factors such as BMI and arthritis.

Indexed as

ArthritisWalking SpeedAgedHumansNutrition SurveysRisk FactorsUnited States

Identifiers

PMID36346815
PMCPMC9642892

What OpenQuestion holds

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Registered trials

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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.