Evidence map›Paper›PMID 40034163›Full record

ArticleFrontiers in public health2025

Demand analysis of public sports service for older adults using Kano model.

Xin Yang, Zimiao Leng, Changning Ma, Guanghui Yang

Abstract read
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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

4 authors.

Xin YangSchool of Physical Education, Yanshan University, Qinhuangdao, China.
Zimiao LengSchool of Physical Education, Yanshan University, Qinhuangdao, China.
Changning MaSchool of Physical Education, Yanshan University, Qinhuangdao, China.
Guanghui YangSchool of Physical Education, Yanshan University, Qinhuangdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: China is one of the countries with a relatively high degree of population aging in the world. Compared with other countries, China has the largest number of older adults and the fastest aging speed. In the increasingly serious situation of population aging, it has become the common desire of the whole society to actively develop sports for older adults and improve the health and quality of life of older adults. By identifying the needs of public sports services for older adults, this study ensures the sustainable improvement and meeting the needs of sports services for older adults in the future. The findings aim to improve the quality of life of older adults, enhance their physical and mental health. Methods: Participants were from Haigang District, Changli County, and Funing District of Qinhuangdao City, Hebei Province, China. A total of 436 older adults who met the survey requirements were included. The socio-demographic characteristics questionnaire was used to investigate and analyze the needs of the participants for public sports services. Results: Of the 23 quality attributes evaluated by participants, nine were "must quality," two were "one-dimensional quality," three were "attractive quality," and nine were "indifferent quality." The better values (satisfaction) ranged from 32.80 to 58.49%, and the worse values (dissatisfaction) ranged from 28.21 to 77.98%. In addition, the average ID of 23 service quality items was 2.25, and 12 attributes were above the average, which were high value-added attributes. Conclusion: Based on Kano model, it is found that older adults have a positive attitude toward physical activities, and the demand for different dimensions of public sports services is different. This study provides a theoretical basis for the decision makers of public sports services for older adults to formulate corresponding policies, and provides a scientific basis for sports instructors to optimize the content of public sports services and meet the personalized and characteristic needs of public sports services for older adults which contributes to healthy aging.

Indexed as

Health Services Needs and DemandNeeds AssessmentSportsAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedQuality of LifeSurveys and Questionnairesdemand analysisglobal agingKano modelolder adult sportpublic sports service

Identifiers

PMID40034163
PMCPMC11872694

What OpenQuestion holds

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LicenceCC BY
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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.