Evidence map›Paper›PMID 41938964›Full record

ArticleFrontiers in public health2026

Supply-demand structural analysis of sports services in Chinese residential care facilities: a cross-sectional study in Zhengzhou.

Shuangrui Liu, Haitao Wang, Yarong Kong

Abstract read
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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shuangrui LiuCollege of Physical Education, Kyungpook National University, Daegu, Republic of Korea.
Haitao WangCollege of Physical Education, Kyungpook National University, Daegu, Republic of Korea.
Yarong KongCollege of Physical Education, Kyungpook National University, Daegu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sports services constitute an important non-medical intervention for promoting healthy aging. China has the world's largest older population with growing demand for institutional care; however, systematic research on supply-demand matching of sports services in residential care facilities remains scarce. Methods: This cross-sectional study surveyed 278 older adults across 15 residential care facilities in Zhengzhou, China, between March and June 2025. Based on the SERVQUAL gap model, supply-demand status was assessed across five dimensions: facilities, fitness guidance, activity organization, information consultation, and physical monitoring. The dependent variable was constructed using a project counting method: the supply side was measured by service accessibility (SA1-SA5, binary items assessing "whether the institution provides the service"), and the demand side by the number of dimensions with urgent needs (demand mean > 4.0); a difference ≤ 0 was coded as supply deficit. Binary logistic regression was employed with overall satisfaction ( Results: A pronounced structural imbalance in supply and demand was identified. Facilities (gap = 1.03, shortage rate 25.6%) and fitness guidance (gap = 1.02, shortage rate 25.2%) exhibited the strongest demand yet poorest supply, whereas activity organization was relatively well-supplied but ranked lower in demand priority. Significant demographic differences existed across institution types: residents of public institutions had significantly lower self-care ability than those in private institutions ( Conclusion: Sports services in residential care facilities exhibited a structural contradiction characterized by the coexistence of "high demand-low supply" and "low demand-high supply." Satisfaction, education level, and monthly income were identified as three key predictors of supply-demand imbalance: older adults with higher satisfaction (i.e., better perceived service quality) had lower odds of supply deficit, while those with higher education and income were associated with less supply-demand mismatch, potentially owing to superior information access and resource utilization capabilities. The non-significant effect of institution type, combined with demographic comparisons, suggested a compositional effect-public institutions bore greater responsibility for functionally impaired and economically vulnerable older adults, yet this structural difference in resident composition was not associated with significant differences in sports service supply-demand matching. However, given the cross-sectional design, these associations should not be interpreted as causal relationships.

Indexed as

Health Services Needs and DemandResidential FacilitiesSportsAgedAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleSurveys and Questionnaireshealthy agingolder adultsresidential care facilitySERVQUALsports servicesupply-demand matching

Identifiers

PMID41938964
PMCPMC13043411

What OpenQuestion holds

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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.