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

被引:0
|
作者
Costa, Eduardo Caldas [1 ,9 ]
Freire, Yuri A. [1 ,2 ]
Ritti-Dias, Raphael M. [3 ]
Alves, Charles P. de Lucena [1 ,4 ]
Cabral, Ludmila L. P. [1 ,2 ]
Barreira, Tiago V. [5 ]
Waters, Debra L. [6 ,7 ,8 ]
机构
[1] Univ Fed Rio Grande do Norte, Dept Phys Educ, ExCE Res Grp, Natal, Brazil
[2] Univ Fed Rio Grande do Norte, Grad Program Hlth Sci, Natal, Brazil
[3] Univ Nove de Julho, Grad Program Rehabil Sci, Sao Paulo, Brazil
[4] Univ Fed Pelotas, Grad Program Epidemiol, Pelotas, Brazil
[5] Syracuse Univ, Exercise Sci Dept, Syracuse, NY USA
[6] Univ Otago, Dept Med, Dunedin, New Zealand
[7] Univ Otago, Sch Physiotherapy, Dunedin, New Zealand
[8] Univ New Mexico, Dept Internal Med Geriatr, Albuquerque, NM USA
[9] Univ Fed Rio Grande do Norte, Dept Phys Educ, Campus Univ,BR 101,Lagoa Nova, BR-59078970 Natal, RN, Brazil
关键词
HARMONIZED METAANALYSIS; ACTIVITY GUIDELINES; METABOLIC SYNDROME; HEALTH; ASSESSMENTS; MORTALITY;
D O I
10.1002/ajhb.24112
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
Introduction: Combined 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. Purpose: To investigate whether step count can identify older adults with unhealthier movement behavior (high ST/low MVPA) and poorer cardiometabolic profile. Methods: Cross-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. Results: A total of 40 participants (15.5%) were identified with unhealthier movement behavior (ST >= 11.4 h/day and MVPA <= 10 min/day). They spent similar to 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 (beta = .25, p = .028) and healthier movement behavior groups (beta = .41, p = .008). Conclusion: Daily 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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页数:10
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