Background: Studies measuring physical activity (PA) and sedentary behavior on a 24/7 basis are scarce. The present study assessed the feasibility of using an accelerometer at the hip while awake and at the wrist while sleeping to describe 24/7 patterns of physical behavior in working-aged adults by age, sex, and fitness. Methods: The study was based on the FinFit 2017 study where the physical behavior of 20- to 69-year-old Finns was assessed 24/7 by triaxial accelerometer (UKKRM42; UKK Terveyspalvelut Oy, Tampere, Finland). During waking hours, the accelerometer was kept at the right hip and, during time in bed, at the nondominant wrist. PA variables were based on 1-min exponential moving average of mean amplitude deviation of the resultant acceleration signal analyzed in 6-s epochs. The angle for the posture estimation algorithm was used to identify sedentary behavior and standing. Evaluation of time in bed was based on the wrist movement. Fitness was estimated by the 6-min walk test. Results: A total of 2,256 eligible participants (mean age 49.5 years, SD = 13.5, 59% women) wore the accelerometer at the hip 15.7 hr/day (SD = 1.4) and at the wrist 8.3 hr/day (SD = 1.4). Sedentary behavior covered 9 hr 18 min/day (SD = 1.8 hr/day), standing nearly 2 hr/day (SD = 0.9), light PA 3.7 hr/day (SD = 1.3), and moderate to vigorous PA 46 min/day (SD = 26). Participants took 7,451 steps per day (SD = 2,962) on average. Men were most active around noon, while women had activity peaks at noon and at early evening. The low-fit tertile took 1,186 and 1,747 fewer steps per day than the mid- and high-fit tertiles (both p < .001). Conclusions: One triaxial accelerometer with a two wear-site approach provides a feasible method to characterize hour-by-hour patterns of physical behavior among working-aged adults.
Pauliina Husu, Kari Tokola, Henri Vähä-Ypyä, Harri Sievänen, Jaana Suni, Olli J. Heinonen, Jarmo Heiskanen, Kaisu M. Kaikkonen, Kai Savonen, Sami Kokko, and Tommi Vasankari
Paul Mackie, Gary Crowfoot, Prajwal Gyawali, Heidi Janssen, Elizabeth Holliday, David Dunstan, and Coralie English
Background: Interrupting prolonged sitting can attenuate postprandial glucose responses in overweight adults. The dose–response effect in stroke survivors is unknown. The authors investigated the effects of interrupting 8 hours of prolonged sitting with increasingly frequent bouts of light-intensity standing-based exercises on the postprandial glucose response in stroke survivors. Methods: Within-participant, laboratory-based, dose-escalation trial. Participants completed three 8-hour conditions: prolonged sitting and 2 experimental conditions. Experimental conditions involved light-intensity standing-based exercises of increasing frequency (2 × 5 min to 6 × 5 min bouts). Postprandial glucose is reported. Results: Twenty-nine stroke survivors (aged 66 y) participated. Interrupting 8 hours of prolonged sitting with light-intensity standing-based exercises every 90 minutes significantly decreased postprandial glucose (positive incremental area under the curve; −1.1 mmol/L·7 h; 95% confidence interval, −2.0 to −0.1). In the morning (08:00–11:00), postprandial glucose decreased during the 4 × 5 minutes and 6 × 5 minutes conditions (positive incremental area under the curve; −0.8 mmol/L·3 h; 95% confidence interval, −1.3 to −0.3 and −0.8 mmol/L·3 h; 95% confidence interval, −1.5 to −0.2, respectively) compared with prolonged sitting. Conclusion: Interrupting 8 hours of prolonged sitting at least every 90 minutes with light-intensity standing-based exercises attenuates postprandial glucose in stroke survivors. During the morning, postprandial glucose is attenuated when sitting is interrupted every 60 and 90 minutes.
Myungjin Jung, Heontae Kim, Seungho Ryu, and Minsoo Kang
Background: The objective of this study was to evaluate secular trends in domain-specific physical activity in the immigrant population in the US between 2009 and 2018. Method: A secondary data analysis from the 2009–2018 National Health and Nutrition Examination Survey; a total of 7282 immigrants in the US were included in this analysis. All domain-specific physical activity was assessed by a self-reported questionnaire. Tests for linear trends were performed to examine the trends of each physical activity time using orthogonal polynomial coefficients. Physical activity trends were assessed by the whole group and the various subgroups. Results: Total physical activity showed an upward linear trend in female (Ptrend = .04) and young adult (Ptrend = .009) immigrants. Work-related physical activity showed an upward linear trend in young adult immigrants (Ptrend = .01). Recreational physical activity showed an upward linear trend in young adult (Ptrend = .03) and Mexican American (Ptrend < .001) immigrants and in immigrants living in the US for 15–29 years (Ptrend = .02). In contrast, we observed downward linear trends in transit-related physical activity for immigrants across male (Ptrend = .04), middle-aged adult (Ptrend = .01), and non-Hispanic black groups (Ptrend = .004) and in immigrants living in the US for 15–29 years (Ptrend = .03). Conclusion: There were no significant linear trends in the 4 domains of physical activity in the overall US immigrant population; however, trends in domain-specific physical activity in the US immigrant population differed by gender, age, race/ethnicity, and length of residence. These findings may inform physical activity promotion strategies targeting US immigrant populations with diverse sociocultural backgrounds.
Jordan A. Carlson, Fatima Tuz-Zahra, John Bellettiere, Nicola D. Ridgers, Chelsea Steel, Carolina Bejarano, Andrea Z. LaCroix, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman, Marta M. Jankowska, and Loki Natarajan
Background: The authors assessed agreement between participant diaries and two automated algorithms applied to activPAL (PAL Technologies Ltd, Glasgow, United Kingdom) data for classifying awake wear time in three age groups. Methods: Study 1 involved 20 youth and 23 adults who, by protocol, removed the activPAL occasionally to create nonwear periods. Study 2 involved 744 older adults who wore the activPAL continuously. Both studies involved multiple assessment days. In-bed, out-of-bed, and nonwear times were recorded in the participant diaries. The CREA (in PAL processing suite) and ProcessingPAL (secondary application) algorithms estimated out-of-bed wear time. Second- and day-level agreement between the algorithms and diary was investigated, as were associations of sedentary variables with self-rated health. Results: The overall accuracy for classifying out-of-bed wear time as compared with the diary was 89.7% (Study 1) to 95% (Study 2) for CREA and 89.4% (Study 1) to 93% (Study 2) for ProcessingPAL. Over 90% of the nonwear time occurring in nonwear periods >165 min was detected by both algorithms, while <11% occurring in periods ≤165 min was detected. For the daily variables, the mean absolute errors for each algorithm were generally within 0–15% of the diary mean. Most Spearman correlations were very large (≥.81). The mean absolute errors and correlations were less favorable for days on which any nonwear time had occurred. The associations between sedentary variables and self-rated health were similar across processing methods. Conclusion: The automated awake wear-time classification algorithms performed similarly to the diary information on days without short (≤2.5–2.75 hr) nonwear periods. Because both diary and algorithm data can have inaccuracies, best practices likely involve integrating diary and algorithm output.
Anna Witkowska, Małgorzata Grabara, Dorota Kopeć, and Zbigniew Nowak
Background: The purpose of this study was to investigate the effects of Nordic Walking compared to conventional walking on aerobic capacity, the lipid profile, left ventricular ejection fraction, body mass, and body mass index in women over 55 years old. Methods: The study was comprised of 74 women over 55 years of age. Participants were randomized to the Nordic Walking (n = 38) or conventional walking (n = 36) training groups. The echocardiogram, treadmill exercise stress test, lipid profile, and body mass were assessed at baseline (pretest) and after 12 weeks (posttest). Results: The authors found a significant main effect over time in duration (effect size [ES] = 0.59, P < .0001), distance covered (ES = 0.56, P < .0001), peak oxygen consumption (ES = 0.43, P < .0001), metabolic equivalent (ES = 0.29, P < .0001), peak heart rate (ES = 0.2, P < .0001), peak diastolic blood pressure (ES = 0.11, P = .0045), total cholesterol (ES = 0.26, P < .0001), and low-density lipoprotein cholesterol (ES = 0.16, P = .0005). The authors did not observe a time versus group interaction or the effect between groups. Post hoc tests revealed significant pretraining to posttraining differences in low-density lipoprotein cholesterol after the Nordic Walking training program and in peak diastolic blood pressure after the conventional walking training program. The heart rate, systolic blood pressure, and diastolic blood pressure at rest, peak diastolic blood pressure, somatic parameters (body mass and body mass index), and left ventricular ejection fraction did not change in either group. Conclusions: Both training programs resulted in increases in aerobic capacity and decreases in total cholesterol.
Pierre Van Luchene and Cécile Delens
Background: Starting college or university is a significant life event that can impact students’ physical activity (PA). Social support specific to PA (SSPA) is a social determinant of PA among college and university students. This review had 3 aims: (1) to systematically review studies examining the association between SSPA and PA among students; (2) to examine whether potential associations differed in terms of types or sources of SSPA; and (3) to examine whether any potential associations differed in terms of gender. Methods: Studies were identified using Academic Search Premier, PsycInfo, Sociological Abstracts, and SPORTDiscus. Results: This review included 25 papers. The results suggested that there is a positive association between SSPA and PA among college and university students. Although the importance of different sources of SSPA is not clear, the results suggested that family and friends provide significant SSPA. Conclusions: High variability in measurement methods made it difficult to compare studies and to come to a clear consensus. However, the findings suggested that SSPA may be a determinant of PA. In order to better understand the relationship between SSPA and PA among students, some elements, such as gender, socioeconomic level, and off- or on-campus housing, should be considered in future studies.
Pedro C. Hallal
Jennifer R. Pharr, Jason D. Flatt, Lung-Chang Chien, Axenya Kachen, and Babayemi O. Olakunde
Introduction: There is a positive association between exercise and improved mental health in the general population. Although there is a greater burden of psychological distress among lesbian, gay, and bisexual (LGB) people, little is known about the association between exercise and mental health in this population. The authors explored the association between exercise and poor mental health reported by LGB adults in the United States. Methods: Our analyses used data from the 2017 Behavioral Risk Factor Surveillance System survey. Multiple regression analyses were used to determine the association between exercising and mental health days adjusting for sociodemographic characteristics. Results: Data were available for 6371 LGB participants. LGB adults who participated in any exercise reported almost 1.0 day less of poor mental health in the past 30 days compared with LGB adults who did not exercise (P ≤ .01). LGB adults who met one or both of the physical activity guidelines had between 1.2 and 1.7 days less of poor mental health compared with those who did not meet the guidelines (P ≤ .01). Conclusion: Fewer days of poor mental health were reported by LGB adults who exercised. Determining whether physical activity interventions, including aerobic and strengthening exercises, could improve mental health outcomes in LGB adults should be studied.