Accelerometer-derived physical activity and sedentary behavior patterns among Korean adults

Abstract

[Purpose] This study aimed to provide an overview of accelerometer-derived physical activity (PA) and sedentary behavior (SB) patterns among Korean adults. We also investigated the association between participant characteristics and the likelihood of adherence to moderate-to-vigorous physical activity (MVPA), SB, and the MVPA-SB guidelines.[Methods] Data from the 2014-2017 Korea National Health and Nutrition Examination Survey were used. The study involved a nationally representative sample of 2,260 Korean adults aged ≥20 years. Accelerometers were used to measure PA and SB for seven days. Multivariate logistic regression models were used to assess the association between the participant characteristics and the likelihood of adhering to the MVPA, SB, and MVPA-SB guidelines.[Results] SB (60.61%), light intensity (26.22%), and lifestyle activities (9.4%) accounted for the majority of the participants’ days. MVPA and vigorous physical activity (VPA) accounted for 3.72% and 0.06% of the days, respectively. The MVPA guidelines were more likely to be adhered to by men, older adults, participants with higher education, non-smokers, and individuals without multimorbidity. Participants with higher education and household income were less likely to adhere to the SB guidelines. Women (OR=0.51), participants with high education levels (OR=0.54), current smokers (OR=0.47), and patients with multimorbidity (OR=0.46) were less likely to adhere to the MVPA-SB guidelines.[Conclusion] This study found that participants were predominantly sedentary, with only a small proportion engaging in VPA. There were differences related to demographic factors and health status. Most Korean adults do not adhere to the recommended MVPA-SB guidelines, and that is a serious public health concern. These findings highlight the need to promote PA and reduce SB through public health policies and interventions, particularly for adults facing PA barriers.

Comparing national device-based physical activity surveillance systems: a systematic review

“…Most of the surveillance systems were from European countries ( n = 8) [ 31 – 33 , 38 , 42 – 53 , 56 – 59 ]and North-America ( n = 3) [ 34 – 37 , 39 – 41 , 50 , 60 – 64 ]. The other systems were from Asia ( n = 3) [ 38 , 54 , 59 ] and South-America ( n = 2) [ 43 – 45 ]. Only two systems were from low- and middle-income countries (LMIC) [ 43 – 45 ].…”

“…The oldest surveillance system originated from 1995 (Japan) [ 54 ], while the most recent identified paper is on the Finnish second wave from 2017/19 [ 39 , 53 ]. Half of the systems used device-based measurement during one wave only ( n = 7) [ 31 , 32 , 38 , 42 – 45 , 50 , 57 , 59 ]. The other half of the systems (Finland, Norway, Sweden, Canada, Denmark, Portugal, United States and Japan) [ 33 – 37 , 39 – 41 , 46 – 49 , 51 – 58 , 60 – 64 ] collected more than one wave of surveillance with device-based measurements.…”

“…The other half of the systems (Finland, Norway, Sweden, Canada, Denmark, Portugal, United States and Japan) [ 33 – 37 , 39 – 41 , 46 – 49 , 51 – 58 , 60 – 64 ] collected more than one wave of surveillance with device-based measurements. In seven systems device-based measurement was only applied in a sub-sample [ 31 , 32 , 38 , 43 – 45 , 50 – 52 , 56 , 59 ]. The number of participants ranged from 224 for the first wave in Denmark in 2007 [ 56 ] to more than 6000 participants in a single wave for Japan, Portugal and the United States [ 33 , 54 , 55 , 58 , 60 , 62 – 64 ].…”

“…Response rates ranged from 17.6% in Finland for a completely new sample when calculating it from the total potential participants belonging to the sample [ 53 ], to 98% in Brazil for a sub-sample when participants were selected from the participants of an original study [ 45 ]. Besides, response rates were calculated in different ways (i.e., response rates were sometimes reported as people that complied with the wear time protocol, or calculated from different original samples) and some studies did not report response rates at all or lacked sufficient information to calculate them [ 34 – 37 , 39 – 41 , 43 , 44 , 47 , 55 , 59 – 64 ]. Almost all studies reported having nationally representative samples and having selected participants with a variety of probability sampling methods.…”

Effects of exercise timing and intensity on physiological circadian rhythm and sleep quality: a systematic review

“…A sedentary lifestyle is a major concern in modern society [ 9 ], as it reduces sleep quality and poses a substantial threat to global public health [ 10 , 11 ]. Many studies have comprehensively evaluated sleep quality by measuring several factors, including non-rapid eye movement (NREM) sleep, sleep stages, sleep onset latency, and sleep efficiency, via polysomnography (PSG).…”