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 (P trend = .04) and young adult (P trend = .009) immigrants. Work-related physical activity showed an upward linear trend in young adult immigrants (P trend = .01). Recreational physical activity showed an upward linear trend in young adult (P trend = .03) and Mexican American (P trend < .001) immigrants and in immigrants living in the US for 15–29 years (P trend = .02). In contrast, we observed downward linear trends in transit-related physical activity for immigrants across male (P trend = .04), middle-aged adult (P trend = .01), and non-Hispanic black groups (P trend = .004) and in immigrants living in the US for 15–29 years (P trend = .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.
Myungjin Jung, Heontae Kim, Seungho Ryu, and Minsoo Kang
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.
Christianne F. Coelho-Ravagnani, Jeeser A. Almeida, Xuemei Sui, Fabricio C.P. Ravagnani, Russell R. Pate, and Steven N. Blair
Background: The effects of compliance with the US Physical Activity (PA) Guidelines and changes in compliance over time on cardiovascular disease (CVD) mortality are unknown. Methods: Male participants in the Aerobics Center Longitudinal Study (n = 15,411; 18–100 y) reported leisure-time PA between 1970 and 2002. The frequency of and time spent in PA were converted into metabolic equivalent minutes per week. The participants were classified into remained inactive, became active, became inactive, or remained active groups according to their achievement of the PA guidelines along the follow-up, equivalent here to at least 500 metabolic equivalent minutes of PA per week. Cox regression adjusted for different models was used for the analyses, using age, body mass index, smoking and drinking status, hypertension, diabetes, hypercholesterolemia, and parental history of CVD. Results: Over a mean follow-up of 6.2 years, 439 CVD deaths occurred. Consistently meeting the PA guidelines, compared with not meeting, was associated with a 54% (95% confidence interval, 0.32–0.67) decreased risk of CVD mortality. After controlling for all potential confounders, the risk reduction was 47% (95% confidence interval, 0.36–0.77). Conclusions: Maintaining adherence to the PA guidelines produces substantial reductions in the risk of CVD deaths in men. Furthermore, discontinuing compliance with the guidelines may offset the beneficial effects on longevity.
Nathalie Berninger, Gill ten Hoor, Guy Plasqui, and Rik Crutzen
Purpose : Physical activity (PA) is crucial for health, but there is insufficient evidence about PA patterns and their operationalization. The authors developed two algorithms (SPORTconstant and SPORTlinear) to quantify PA patterns and check whether pattern information yields additional explained variance (compared with a compositional data approach [CoDA]). Methods : To measure PA, 397 (218 females) adolescents with a mean age of 12.4 (SD = 0.6) years wore an ActiGraph on their lower back for 1 week. The SPORT algorithms are based on a running value, each day starting with 0 and minutely adapting depending on the behavior being performed. The authors used linear regression models with a behavior-dependent constant (SPORTconstant) and a function of time-in-bout (SPORTlinear) as predictors and body mass index z scores (BMIz) and fat mass percentages (%FM) as exemplary outcomes. For generalizability, the models were validated using five-fold cross-validation where data were split up in five groups, and each of them was a test data set in one of five iterations. Results : The CoDA and the SPORTconstant models explained low variance in BMIz (2% and 1%) and low to moderate variance in %FM (both 5%). The variance being explained by the SPORTlinear models was 6% (BMIz) and 9% (%FM), which was significantly more than the CoDA models (p < .001) according to likelihood ratio tests. Conclusion : Among this group of adolescents, SPORTlinear explained more variance of BMIz and %FM than CoDA. These results suggest a way to enable research about PA patterns. Future research should apply the SPORTlinear algorithm in other target groups and with other health outcomes.
Russell R. Pate, Marsha Dowda, Ruth P. Saunders, Natalie Colabianchi, Morgan N. Clennin, Kerry L. Cordan, Geena Militello, Agnes Bucko, Dwayne E. Porter, and Wm. Lynn Shirley
Background: The prevalence of childhood obesity is higher in economically and socially deprived areas. Higher levels of physical activity reduce the risk of excessive weight gain in youth, and research has focused on environmental factors associated with children’s physical activity, though the term “physical activity desert” has not come into wide use. Methods: This exploratory study operationalized the term “physical activity desert” and tested the hypothesis that children living in physical activity deserts would be less physically active than children who do not. A cross-sectional study design was applied with 992 fifth-grade students who had provided objectively measured physical activity data. Five of 12 possible elements of the built environment were selected as descriptors of physical activity deserts, including no commercial facilities, no parks, low play spaces, no cohesion, and the presence of incivilities. Results: Univariate and multivariate analyses showed that only the absence of parks was associated with less physical activity in children. Conclusion: Children living in a “no park” zone were less active than their counterparts who lived near a park. This study contributes preliminary conceptual and operational definitions of “physical activity desert.” Future studies of physical activity deserts should be undertaken in larger and more diverse samples.