# The impact of 24-h activity patterns on executive function in older adults with chronic diseases: analysis of the isotonic substitution effect

**Authors:** Zhiji Wang, Lin Wang, Shijie Liu, Li Zhan, Sijun Wu, Linxia Tang, Hong Wang

PMC · DOI: 10.3389/fpubh.2026.1733294 · Frontiers in Public Health · 2026-02-23

## TL;DR

This study explores how different daily activities affect brain function in older adults with chronic diseases, finding that sleep and exercise improve cognitive control while sitting too much worsens it.

## Contribution

The study identifies specific substitution effects of 24-hour activity patterns on executive function in older adults with chronic diseases.

## Key findings

- Sedentary behavior positively correlates with inhibitory control and working memory.
- Replacing sedentary time with sleep or MVPA improves inhibitory control, while replacing it with LPA improves working memory.

## Abstract

24-h activity encompasses four categories: light-intensity physical activity (LPA), moderate-to-vigorous-intensity physical activity (MVPA), sedentary behavior (SB), and sleep (SP). This study aims to investigate the effects of different physical activity components on executive function in older adults with chronic diseases and to examine substitution effects among activity components. The findings provide scientific evidence to inform physical activity interventions for improving executive function in older adults with chronic diseases.

A total of 105 older adults (72.64 ± 6.82 years) were recruited. Following questionnaire screening, 75 older adults with chronic diseases were ultimately included. Accelerometers objectively measured participants’ daily SP, SB, LPA, and MVPA. Executive function was objectively assessed using the Stroop task, N-back task, and More-odd-shifting task. Component linear regression equation assessed the relationship between different activities and executive function in older adults with chronic diseases. The dose–response effects of “one-for-one” substitutions between different activity behaviors were explored.

Component linear regression results showed that SB positively correlated with inhibitory control (β = 0.892, 95% CI = 0.044 to 1.741) and working memory (β = 1.610, 95% CI = 0.801 to 2.420). MVPA was negatively correlated with inhibitory control (β = −0.596, 95% CI = −1.156 to −0.036), while LPA was negatively correlated with working memory (β = −0.969, 95% CI = −1.812 to −0.127). No significant association with cognitive flexibility was found (p > 0.05). Isotemporal substitution results showed that for inhibitory control, replacing SB with SP for 30 min reduced z-scores by 0.068; replacing SB with MVPA for 30 min reduced z-scores by 0.285. For working memory, replacing SB with LPA every 30 min resulted in a z-score decrease of 0.152. Dose–response curves indicated that progressively increasing the proportion of time spent in SP and MVPA improved inhibitory control, while increasing LPA enhanced working memory.

SP and MVPA significantly improve inhibitory control in older adults with chronic diseases, while LPA significantly enhances their working memory. It is recommended that older adults with chronic diseases adjust their daily time structure by increasing diverse physical activities, ensuring adequate sleep duration, and reducing sedentary behavior to improve executive function.

## Full-text entities

- **Genes:** APP (amyloid beta precursor protein) [NCBI Gene 351] {aka AAA, ABETA, ABPP, AD1, APPI, CTFgamma}, LPA (lipoprotein(a)) [NCBI Gene 4018] {aka AK38, APOA, LP}
- **Diseases:** disease (MESH:D004194), inflammation (MESH:D007249), liver disease (MESH:D008107), volume loss (MESH:D016388), hyperlipidemia (MESH:D006949), hyperglycemia (MESH:D006943), gallbladder or spleen disease (MESH:D005705), pain (MESH:D010146), dyslipidemia (MESH:D050171), SB (MESH:D001523), brain atrophy (MESH:C566985), memory decline (MESH:D060825), Alzheimer's disease (MESH:D000544), lung disease (MESH:D008171), diabetes (MESH:D003920), malignancy (MESH:D009369), MVPA (MESH:C000657744), atrophy (MESH:D001284), oral disease (MESH:D009059), falls (MESH:C537863), fatigue (MESH:D005221), non-communicable diseases (MESH:D000073296), performance deficits (MESH:D009461), chronic low back pain (MESH:D017116), mobility limitations (MESH:D051346), hypertension (MESH:D006973), myocardial infarction (MESH:D009203), Cardiovascular disease (MESH:D002318), neurovascular unit dysfunction (MESH:D013901), bone disease (MESH:D001847), cerebrovascular disease (MESH:D002561), Digestive system diseases (MESH:D004066), type 2 diabetes (MESH:D003924), neuronal damage (MESH:D009410), gastric disease (MESH:D013272), kidney disease (MESH:D007674), dementia (MESH:D003704), heart disease (MESH:D006331), eye disease (MESH:D005128), cognitive decline (MESH:D003072), hearing, visual, or communication impairments (MESH:D003147), Chronic conditions (MESH:D002908), decline in working memory (MESH:D008569)
- **Chemicals:** lactate (MESH:D019344), MVPA (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

61 references — full list in the complete paper: https://tomesphere.com/paper/PMC12968266/full.md

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Source: https://tomesphere.com/paper/PMC12968266