Evidence map›Paper›PMID 27621124›Full record

ArticleBiomedical journal2016

Low vegetable intake increases the risk of fall-related fragility fracture in postmenopausal Taiwanese women, a prospective pilot study in the community.

Chu-Hsu Lin, Kai-Hua Chen, Chien-Min Chen, Chia-Hao Chang, Tung-Jung Huang, Hung-Chih Hsu, Shih-Yang Huang

Open access · goldAbstract read
In one paragraph

Article in Biomedical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Identification of risk factors for falls in postmenopausal women: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Pooled it
  3. Article
  4. Article
  5. Article
  6. On the road to epigenetic therapy.Biomedical journal · 2016
    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

7 authors at 3 institutions in 1 country.

Chu-Hsu LinDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Chiayi, Chiayi, Taiwan.
Kai-Hua ChenDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Chiayi, Chiayi, Taiwan; School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chien-Min ChenDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Chiayi, Chiayi, Taiwan; School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chia-Hao ChangCollege of Nursing and the Chronic Diseases and Health Promotion Research Center, Chang Gung University of Science and Technology, Chiayi, Taiwan.
Tung-Jung HuangDivision of Thoracic Medicine, Chang Gung Memorial Hospital at Yunlin, Yunlin, Taiwan; Department of Respiratory Care, Chang Gung University of Science and Technology, Chiayi, Taiwan. Electronic address: donaldhuang@cgmh.org.tw.
Hung-Chih HsuDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Chiayi, Chiayi, Taiwan; Department of Nursing, Chang Gung University of Science and Technology, Chiayi, Taiwan; Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Shih-Yang HuangDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Chiayi, Chiayi, Taiwan.
Chiayi Chang Gung Memorial Hospital · TWChang Gung University of Science and Technology · TWChang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this prospective study was to investigate the relationship between lifestyle factors including nutrition intake and the incidence of fall-related fragility fractures in postmenopausal women.

methodsA total of 1169 female volunteers were recruited from participants at the morning health examinations held at each local public health center in the West Chiayi County of Taiwan at the beginning of the study. Laboratory examinations, anthropometric measurements, and questionnaire interviews inquiring about lifestyle factors, including weekly nutrition intake, were performed. Subsequently, four follow-up telephone interviews at intervals of about 6-12 months were performed to inquire about instances of falls and fractures.

resultsNine hundred and fifty-three subjects responded at least once to the four telephone interviews, and there were 183 postmenopausal women, with a mean age of 68.8 ± 8.3 (49-87) years, reporting falls. Of the 183 women, 25 had incurred new fractures from low-energy impacts. Statistical analysis revealed that older age and hypertension were associated with increased risks of falling. Intake of other deep-colored (nondark-green) vegetables and light-colored vegetables as well as total vegetable intake were associated with reduced risk of fall-related fragility fracture.

conclusionAmong postmenopausal women, older age and the presence of hypertension were associated with increased risks of falls. Increased vegetable intake might be helpful to reduce the incidence of fall-related fragility fractures.

Indexed as

Accidental FallsVegetablesAgedAged, 80 and overEatingFeeding BehaviorFemaleFractures, BoneHumansMiddle AgedPilot ProjectsPostmenopauseProspective StudiesRisk FactorsTaiwanFragility fractureNutritionOsteoporosisTaiwanVegetable

Identifiers

PMID27621124
PMCPMC6140300
OpenAlexW2512213787

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.