Evidence map›Paper›PMID 39730599›Full record

ArticleScientific reports2024

Applied research using the NIOSH lifting equation to optimize the design of shopping trolley for the elderly.

Chuanmei Hu, Xiaolin Huang, Gang Jiang, Siqi Hou, Yong Wang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Chuanmei HuSchool of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, People's Republic of China. hcm_001@163.com.
Xiaolin HuangSchool of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, People's Republic of China.
Gang JiangSchool of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, People's Republic of China.
Siqi HouSchool of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, People's Republic of China.
Yong WangSchool of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, People's Republic of China.

Funding

Joint Fund of the Ministry of Education 8091B022233Science and Technology Department of Sichuan Province 2020ZDZX0019
6 · The paper itself

Abstract

In the context of an aging society, products for the elderly typically need to meet the criteria of ease of use and reduction of physical fatigue. Focusing on elderly shopping scene, combined with the ergonomic principles and JACK simulation software analysis, a method of mapping NIOSH lifting equation to the product optimization design is proposed to optimize the dimensions and styling design of the elderly shopping trolley as a carrier, to optimize length, depth, and basket height from the ground. When the handle height of the elderly shopping cart is adjustable to three levels: 795 mm, 908 mm, and 1021 mm, it can effectively reduce the pressure on the lower limbs. With a basket size of 380 mm × 340 mm × 480 mm and a ground clearance of 470 mm, the risk of lower back pain for elderly users can be significantly mitigated, enhancing the user experience of the elderly shopping cart. The optimized design of the elderly shopping cart effectively alleviates the movement burden on elderly users and provides new insights for the ergonomic optimization of other similar products.

Indexed as

ErgonomicsLiftingNational Institute for Occupational Safety and Health, U.S.AgedEquipment DesignFemaleHumansLow Back PainMaleUnited States

Identifiers

PMID39730599
PMCPMC11681116

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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.