Association of daily step volume and intensity with cardiometabolic risk in older adults

Cabral, Ludmila L.P.; Browne, Rodrigo A.V.; Freire, Yuri A.; Silva, Raíssa de M.; Vliestra, Lara; Waters, Debra L.; Barreira, Tiago V.; Costa, Eduardo C.

doi:10.1016/j.exger.2023.112245

Experimental Gerontology

2023

DOI: 10.1016/j.exger.2023.112245

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Association of daily step volume and intensity with cardiometabolic risk in older adults

Ludmila L.P. Cabral,

Rodrigo A.V. Browne,

Yuri A. Freire

et al.

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2024

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Cited by 3 publications

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Can step count be used to identify older adults with high sedentary time and low moderate‐to‐vigorous physical activity?

Costa,

Freire,

Ritti‐Dias

et al. 2024

American J Hum Biol

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IntroductionCombined high sedentary time (ST) and low moderate‐to‐vigorous physical activity (MVPA) has been associated with adverse cardiovascular events. However, accurately assessing ST and MVPA in older adults is challenging in clinical practice.PurposeTo investigate whether step count can identify older adults with unhealthier movement behavior (high ST/low MVPA) and poorer cardiometabolic profile.MethodsCross‐sectional study (n = 258; 66 ± 5 years). Step count, ST, and MVPA were assessed by hip accelerometry during 7 days. The cardiometabolic profile was assessed using a continuous metabolic syndrome score (cMetS), including blood pressure, HDL‐cholesterol, triglycerides, fasting glucose, and waist circumference. Receiving operating curve analysis was used to test the performance of step count in identifying older adults with unhealthier movement behavior (highest tertile of ST/lowest tertile of MVPA). Healthier movement behavior was defined as lowest tertile of ST/highest tertile of MVPA, with neutral representing the remaining combinations of ST/MVPA.ResultsA total of 40 participants (15.5%) were identified with unhealthier movement behavior (ST ≥ 11.4 h/day and MVPA ≤ 10 min/day). They spent ~73% and 0.4% of waking hours in ST and MVPA, respectively. Step count identified those with unhealthier movement behavior (area under the curve 0.892, 0.850–0.934; cutoff: ≤5263 steps/day; sensitivity/specificity: 83%/81%). This group showed a higher cMetS compared with neutral (β = .25, p = .028) and healthier movement behavior groups (β = .41, p = .008).ConclusionDaily step count appears to be a practical, simple metric for identifying community‐dwelling older adults with concomitant high ST and low MVPA, indicative of unhealthier movement behavior, who have a poorer cardiometabolic profile.

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Can step count be used to identify older adults with high sedentary time and low moderate‐to‐vigorous physical activity?

Costa,

Freire,

Ritti‐Dias

et al. 2024

American J Hum Biol

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How do we make progress in phenotyping patients with LUT such as OAB and underactive detrusor, including using urine markers and microbiome data, in order to personalize therapy? ICI‐RS 2023: Part 1

Finazzi Agrò,

Rosato,

Wagg

et al. 2024

Neurourology and Urodynamics

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IntroductionOveractive bladder (OAB) and Underactive bladder (UAB) could be associated with metabolic syndrome, affective disorders, sex hormone deficiency, changes in urinary microbiota, functional gastrointestinal disorders, or autonomic nervous system dysfunction.ObjectivesThe aim of this Think Tank was to provide a guide on how to investigate OAB and/or detrusor underactivity (DU) patients to better clarify the underlying pathophysiology and possibly personalize the treatment.MethodsA compendium of discussion based on the current evidence related to phenotyping patients with OAB or DU investigating metabolic, neurogical, psychological and gastrointestinal aspects with the aim to personalize the treatment.Results and ConclusionsThe article emphasizes the critical significance of adopting a comprehensive yet tailored approach to phenotyping patients with lower urinary tract symptoms, such as OAB and UAB. The intricate interplay between the lower urinary tract and various factors, metabolic, neurological, psychological, and gastrointestinal can define unique LUT profiles, enabling personalized therapies to replace the one‐size‐fits‐all approach.

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Associations of Step Volume and Intensity with Metabolic Syndrome among Korean Adults: A Cross-sectional Observational Study

Kim,

Sung

et al. 2024

Korean J Sports Med

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Purpose: This study was performed to investigate the association between step volume and intensity with the prevalence of metabolic syndrome (MS) in Korean adults. Methods: The study analyzed 2,038 adults from the 2014 to 2017 Korea National Health and Nutrition Examination Survey, defining MS based on waist circumference, blood pressure, triglycerides, glucose, and high-density lipoprotein cholesterols.Step volume and intensity were calculated using average number of steps per day and peak 30-minute cadence, respectively. Logistic regression analysis was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) of MS by tertiles of step volume and intensity. A joint analysis was conducted to examine the combined association between step volume and intensity with the prevalence of MS. We divided the participants into nine groups according to their step volume (tertiles) and intensity (tertiles). Results: There were 478 MS cases. Compared to the lowest tertile of volume, the ORs of MS were 1.06 (95% CI, 0.79-1.42) and 0.64 (95% CI, 0.47-0.88) in the middle and highest tertile of volume. Compared to the lowest tertile of intensity, the ORs were 1.02 (95% CI, 0.76-1.36) and 0.74 (95% CI, 0.55-1.01) in the middle and highest tertile of intensity. In the joint analysis, compared to the group with both lowest volume and intensity, the ORs were significantly lower in all groups with the highest volume, except the group with the lowest intensity. Conclusion: Although only greater step volume, not intensity, was independently related to MS, both step volume and intensity appear to be important for preventing MS.

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Association of daily step volume and intensity with cardiometabolic risk in older adults

Cited by 3 publications

References 55 publications

Can step count be used to identify older adults with high sedentary time and low moderate‐to‐vigorous physical activity?

Can step count be used to identify older adults with high sedentary time and low moderate‐to‐vigorous physical activity?

How do we make progress in phenotyping patients with LUT such as OAB and underactive detrusor, including using urine markers and microbiome data, in order to personalize therapy? ICI‐RS 2023: Part 1

Associations of Step Volume and Intensity with Metabolic Syndrome among Korean Adults: A Cross-sectional Observational Study

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