Evidence map›Paper›PMID 31831549›Full record

Observational studyBMJ open2019

Fall-related mortality trends in older Japanese adults aged ≥65 years: a nationwide observational study.

Hideharu Hagiya, Toshihiro Koyama, Yoshito Zamami, Yasuhisa Tatebe, Tomoko Funahashi, Kazuaki Shinomiya, Yoshihisa Kitamura, Shiro Hinotsu, Toshiaki Sendo, Hiromi Rakugi and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Mortality from falls in the elderly in the Federal District, Brazil: characteristics and time trend, 1996-2017.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2022
    Article
  11. Article
  12. Article
  13. 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

11 authors at 6 institutions in 1 country.

Hideharu HagiyaDepartment of General Internal Medicine, Osaka University Hospital, Suita, Japan.
Toshihiro KoyamaDepartment of Pharmaceutical Biomedicine, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, Okayama, Japan koyama-oka@umin.ac.jp.ORCID 0000-0002-7755-1754
Yoshito ZamamiDepartment of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School, Tokushima, Japan.
Yasuhisa TatebeDepartment of Pharmacy, Okayama University Hospital, Okayama, Japan.
Tomoko FunahashiDepartment of Pharmaceutical Biomedicine, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan.
Kazuaki ShinomiyaDepartment of Pharmaceutical Care and Clinical Pharmacy, Faculty of Pharmaceutical Sciences Tokushima Bunri University, Tokushima, Japan.
Yoshihisa KitamuraDepartment of Pharmacy, Okayama University Hospital, Okayama, Japan.
Shiro HinotsuDepartment of Biostatistics, Sapporo Medical University, Sapporo, Japan.
Toshiaki SendoDepartment of Pharmacy, Okayama University Hospital, Okayama, Japan.
Hiromi RakugiDepartment of General Internal Medicine, Osaka University Hospital, Suita, Japan.
Mitsunobu R KanoDepartment of Pharmaceutical Biomedicine, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan.
Okayama University · JPOkayama University Hospital · JPOsaka University Hospital · JPSapporo Medical University · JPTokushima Bunri University · JPTokushima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFall-related mortality among older adults is a major public health issue, especially for ageing societies. This study aimed to investigate current trends in fall-related mortality in Japan using nationwide population-based data covering 1997-2016.

designWe analysed fall-related deaths among older persons aged ≥65 years using the data provided by the Japanese Ministry of Health, Labour and Welfare.

resultsThe crude and age-standardised mortality rates were calculated per 100 000 persons by stratifying by age (65-74, 75-84 and ≥85 years) and sex. To identify trend changes, a joinpoint regression model was applied by estimating change points and annual percentage change (APC). The total number of fall-related deaths in Japan increased from 5872 in 1997 to 8030 in 2016, of which 78.8% involved persons aged ≥65 years. The younger population (65-74 years) showed continuous and faster-decreasing trends for both men and women. Average APC among men aged ≥75 years did not decrease. Among middle-aged and older women (75-84 and ≥85 years) decreasing trends were observed. Furthermore, the age-adjusted mortality rate of men was approximately twice that of women, and it showed a faster decrease for women.

conclusionsAlthough Japanese healthcare has shown improvement in preventing fall-related deaths over the last two decades, the crude mortality for those aged over 85 years remains high, indicating difficulty in reducing fall-related deaths in the super-aged population. Further investigations to uncover causal factors for falls in older populations are required.

Indexed as

Accidental FallsAgedAged, 80 and overFemaleGeriatricsHealth PolicyHealth Services Needs and DemandHumansJapanMaleMortalityPublic Healthadult intensive & critical careepidemiologygeriatric medicinehealth policyhealth & safetypublic health

Identifiers

PMID31831549
PMCPMC6924807
OpenAlexW2996238482

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.