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Peer-reviewedCC BY 4.0Frontiers in Pharmacology

Among rural older adults, an apparent physical-activity contrast in nonblank medication-field presence was markedly attenuated when chronic-disease management registration was incorporated into the analysis

4 affiliations
  1. 1School of Wushu, Henan University
  2. 2Henan University, Institute of Gerontology
  3. 3School of Physical Education and Health Sciences, Mudanjiang Normal University
  4. 4Dongcheng Community Health Service Center

Abstract

Background: Medication fields created for chronic-disease management may mislead when reused as medication-exposure measures in broader older-adult populations. Using routine exercise-frequency as routine-recorded physical activity (PA), we compared PA + records (daily, at least weekly, or occasional exercise) with PA− records (no exercise) and examined how nonblank medication-field presence changed after management-registration context was incorporated.

Methods: This cross-sectional study used 2,270 examination records from a 2025 rural primary-care program in northeastern China; PA was available for 2,226 records. The outcome was any nonblank text in the main-medication field. Modified Poisson regression estimated prevalence ratios (PRs) with small-sample-adjusted cluster-robust inference across 20 sites. Sequential models incorporated demographics, site, and four hypertension/diabetes management-registration categories. Logistic regression estimated standardized proportions and absolute differences. Medication text underwent secondary audit, including 200 randomly sampled retained entries independently reviewed by two pharmacists.

Results: Nonblank medication fields occurred in 1,114/1,157 (96.3%) records with hypertension and/or diabetes management registration versus 27/1,113 (2.4%) with neither registration. Field presence was low without registration and near-complete with hypertension-only or dual registration; the diabetes-only stratum was small (n = 37). Overall field presence was 56.4% in PA+ and 42.8% in PA− records (PR 1.317, 95% CI 1.076–1.612). After registration context was incorporated, the PR was 1.001 (95% CI 0.960–1.043); full adjustment yielded 1.002 (95% CI 0.959–1.046). Standardized proportions were 51.26% and 51.14%, a difference of 0.12 percentage points (95% CI −2.07 to 2.30). Among 1,368 retained entries, archived labels classified 75.9% as antihypertensive, 14.5% as glucose-lowering, 0.5% as other cardiovascular, 1.7% as other medications, and 7.4% as unresolved. Inter-reviewer agreement for broad therapeutic class was 99.5% (κ = 0.982), and parser–manual-reference concordance was 99.0%; these assessments did not verify medication exposure.

Conclusion: Nonblank main-medication-field recording was strongly patterned by chronic-disease management registration, and the apparent overall PA-related contrast was markedly attenuated after this context was incorporated. Blank fields cannot establish medication nonuse, and nonblank or consistently parsed text cannot establish complete, current medication exposure.

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BibTeX
@article{xu2026among,
  title = {{Among rural older adults, an apparent physical-activity contrast in nonblank medication-field presence was markedly attenuated when chronic-disease management registration was incorporated into the analysis}},
  author = {Kun Xu and Yiming Zhang and Yongheng Zhao and Xuefeng Xi and Gaixia Hou and Zhuangzhuang Guo and Limeng Liu and Yajuan Wang and Dehui Zhang},
  journal = {Frontiers in Pharmacology},
  year = {2026},
  month = oct,
  doi = {10.3389/fphar.2026.1965382},
  url = {https://www.frontiersin.org/articles/10.3389/fphar.2026.1965382/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Among rural older adults, an apparent physical-activity contrast in nonblank medication-field presence was markedly attenuated when chronic-disease management registration was incorporated into the analysis
AU  - Kun Xu
AU  - Yiming Zhang
AU  - Yongheng Zhao
AU  - Xuefeng Xi
AU  - Gaixia Hou
AU  - Zhuangzhuang Guo
AU  - Limeng Liu
AU  - Yajuan Wang
AU  - Dehui Zhang
PY  - 2026
DA  - 2026/10/15
JO  - Frontiers in Pharmacology
DO  - 10.3389/fphar.2026.1965382
UR  - https://www.frontiersin.org/articles/10.3389/fphar.2026.1965382/full
AB  - Background: Medication fields created for chronic-disease management may mislead when reused as medication-exposure measures in broader older-adult populations. Using routine exercise-frequency as routine-recorded physical activity (PA), we compared PA + records (daily, at least weekly, or occasional exercise) with PA− records (no exercise) and examined how nonblank medication-field presence changed after management-registration context was incorporated.  Methods: This cross-sectional study used 2,270 examination records from a 2025 rural primary-care program in northeastern China; PA was available for 2,226 records. The outcome was any nonblank text in the main-medication field. Modified Poisson regression estimated prevalence ratios (PRs) with small-sample-adjusted cluster-robust inference across 20 sites. Sequential models incorporated demographics, site, and four hypertension/diabetes management-registration categories. Logistic regression estimated standardized proportions and absolute differences. Medication text underwent secondary audit, including 200 randomly sampled retained entries independently reviewed by two pharmacists.  Results: Nonblank medication fields occurred in 1,114/1,157 (96.3%) records with hypertension and/or diabetes management registration versus 27/1,113 (2.4%) with neither registration. Field presence was low without registration and near-complete with hypertension-only or dual registration; the diabetes-only stratum was small (n = 37). Overall field presence was 56.4% in PA+ and 42.8% in PA− records (PR 1.317, 95% CI 1.076–1.612). After registration context was incorporated, the PR was 1.001 (95% CI 0.960–1.043); full adjustment yielded 1.002 (95% CI 0.959–1.046). Standardized proportions were 51.26% and 51.14%, a difference of 0.12 percentage points (95% CI −2.07 to 2.30). Among 1,368 retained entries, archived labels classified 75.9% as antihypertensive, 14.5% as glucose-lowering, 0.5% as other cardiovascular, 1.7% as other medications, and 7.4% as unresolved. Inter-reviewer agreement for broad therapeutic class was 99.5% (κ = 0.982), and parser–manual-reference concordance was 99.0%; these assessments did not verify medication exposure.  Conclusion: Nonblank main-medication-field recording was strongly patterned by chronic-disease management registration, and the apparent overall PA-related contrast was markedly attenuated after this context was incorporated. Blank fields cannot establish medication nonuse, and nonblank or consistently parsed text cannot establish complete, current medication exposure.
SN  - 1663-9812
ER  -