Time Trends In Physical Activity Research Articles

Time Trends in Physical Activity Using Wearable Devices: A Systematic Review and Meta-analysis of Studies from 1995 to 2017.

Conflicting evidence exists on whether physical activity (PA) levels of humans have changed over the last quarter-century. The main objective of this study was to determine if there is evidence of time trends in PA, from cross-sectional studies that assessed PA at different time points using wearable devices (e.g., pedometers and accelerometers). A secondary objective was to quantify the rate of change in PA. A systematic literature review was conducted of English-language studies indexed in PubMed, SPORTDiscus, and Web of Science (1960-2020) using search terms (time OR temporal OR secular) AND trends AND (steps per day OR pedometer OR accelerometer OR MVPA). Subsequently, a meta-analytic approach was used to aggregate data from multiple studies and to examine specific factors (i.e., sex, age-group, sex and age-group, and PA metric). Based on 16 peer-reviewed scientific studies conducted between 1995 and 2017, levels of ambulatory PA are trending downward in developed countries. Significant declines were seen in both males and females (P < 0.001) as well as in children (P = 0.020), adolescents (P < 0.001), and adults (P = 0.004). The average study duration was 9.4 yr (accelerometer studies, 5.3 yr; pedometer studies, 10.8 yr). For studies that assessed steps, the average change in PA was -1118 steps per day over the course of the study (P < 0.001), and adolescents had the greatest change in PA at -2278 steps per day (P < 0.001). Adolescents also had the steepest rate of change over time, expressed in steps per day per decade. Evidence from studies conducted in eight developed nations over a 22-yr period indicates that PA levels have declined overall, especially in adolescents. This study emphasizes the need for continued research tracking time trends in PA using wearable devices.

Correction: Time trends in physical activity in the Tromsø study: An update

[This corrects the article DOI: 10.1371/journal.pone.0231581.].

Time trends in physical activity in the Tromsø study: An update.

Although the health benefits of physical activity are well documented, a large proportion of the population fails to meet current guidelines for physical activity. In order to develop evidence-based public health policies, surveillance of physical activity prevalence and trends is essential. The main aim of this study was to present updated data on physical activity trends in a Norwegian general population over the last decades. Data were collected from 40 690 individuals (50% men) aged ≥20 years participating in at least one of six surveys of the population-based Tromsø Study between 1979 and 2016. Age-standardized prevalences and trends in leisure-time and occupational physical activity were obtained from three questionnaires used in the different surveys. We observed an increase in the proportion engaging in exercise in leisure-time between 1994–95 and 2001 (p <0.001). Based on a different questionnaire, the age-standardized prevalence of engagement in exercise in leisure-time increased significantly from 16% in 2001 to 23% in 2007–08, and further to 28% in 2015–16 (p <0.001). The proportion who reported exercising approximately every day increased from 19% in 2007–08 to 28% in 2015–16 (p <0.001). The age-standardized prevalence of sedentary occupational activity increased from 53% in 2007–08 to 57% in 2015–16 (p <0.001), which extends the gradual increase from 36% in 1979-80.The present study extends previous findings from the Tromsø Study by demonstrating an increase in the proportion exercising regularly over the last three decades. This increase may partially counteract the gradual increase in the proportion with sedentary occupational activity.

Physical Activity and Sedentary Behaviors of Young Children: Trends from 2009 to 2018.

Over the last decade, the lives of children in several countries, including Greece, have been affected by recession. The aim of the present study was (a) to examine time trends in physical activity (PA) and screen time (ST) of Greek preschool children, together with their family affluence (FA), from 2009 until 2018, and to explore the associations among them; and (b) to investigate the connections of parental educational level and children’s BMIs to their achieving ST (<1 h/day) and PA (11,500 steps/day) guidelines. A total of 652 children from four cross-sectional cohorts participated. PA was recorded with Omron HJ-720IT-E2 pedometers, whereas ST, family affluence (FA) and parental educational level were reported by participants’ parents. The results of the one-way ANOVAs that were computed revealed statistically significant differences among cohorts, albeit of no practical importance, in PA, ST and FA. According to the regressions calculated, neither BMI nor the educational level was related to membership in ST and PA guidelines groups. ST was a significant predictor of children’s PA in all week periods (school-time, leisure-time, weekend), whereas FA was not such a strong predictor. Multilevel interventions aiming at both ST and PA seem to be imperative for the benefit of young children’s health.

Physical activity in pre-school children: Trends over time and associations with body mass index and screen time

Background: Pre-school years are important for adopting health behaviours; however, today’s children seem to be overweight, present low physical activity (PA) levels and exceed screen time (ST) recommendations.Aim: To examine (a) time trends in PA in Greek pre-school children, (b) the associations among PA, body mass index (BMI) and ST and (c) potential PA differences between boys and girls.Subjects and methods: Data from five cross-sectional cohorts (2005 [n = 252]; 2008 [n = 212]; 2011 [n = 187]; 2014 [n = 194]; 2017 [n = 128]) were compared. PA was assessed using Omron HJ-720IT-E2 pedometers, whereas ST was reported by participants’ parents. A 4-way ANOVA was applied on children’s average week step counts.Results: A significant association (F = 828.90, p < 0.001, η2 = 0.638) between ST and PA was revealed, with children that had ST < 1 hour/day presenting the higher PA levels and being the only ones that met PA recommendations (11,500 steps/day). Statistically significant PA differences, though of no practical importance, were found among cohorts. There were no significant PA differences between boys and girls or among BMI categories. Nevertheless, obesity prevalence was found to exist at alarming levels (24.5% in 2008–41.4% in 2017), and a large percentage of children (23.6% in 2008–63.3% in 2017) presented excessive ST (> 2 hours/day).Conclusion: Effective interventions aiming at reducing ST and enhancing PA seem imperative if children’s health is to be safeguarded.

Time trends in physical activity of adult users of the Brazilian National Health System: 2010-2014. Longitudinal study.

In this longitudinal study, we aimed to describe time trends of physical activity (PA) in different domains from 2010 to 2014 among users of the Brazilian National Health System, taking into account the effects of sex, age and economic status (ES). Longitudinal study conducted in five primary care units in Bauru (SP), Brazil. The sample was composed of 620 men and women who were interviewed in 2010, 2012 and 2014. The same group of researchers conducted the interviews, using the questionnaire developed by Baecke et al. Scores for occupational, exercise/sport, leisure-time/transportation and overall PA were considered in this longitudinal survey. Time trends of PA over the four years of follow-up were assessed according to sex, age and ES. We found that after four years of follow-up, the reduction in overall PA (-13.6%; 95% confidence interval, CI = -11.9 to -15.3) was statistically significant. Additionally, declines in the occupational domain and exercise/sports participation were affected by age, while the reduction in overall PA was affected by sex, age and ES. Overall PA decreased significantly from 2010 to 2014 among these outpatients of the Brazilian National Health System, and age and male sex were important determinants of PA in its different domains.

Time Trends in Physical Activity in the Tromsø Study, Northern Norway.

Time Trends in Physical Activity in the Tromsø Study, Northern Norway.

Physical activity decreased by a quarter in the 11‐ to 12‐year‐old Swedish boys between 2000 and 2013 but was stable in girls: a smartphone effect?

This study explored physical activity, body mass index (BMI) and overweight and obesity from 2000 to 2013 using a convenience sample of second- and fifth-grade Swedish schoolchildren aged 8-9 years and 11-12 years, respectively. We examined cross-sectional cohorts of 126 second-grade children in 2000, 84 in 2006 and 44 in 2013 and 105 fifth-grade children in 2000 and 38 in 2013. No fifth graders were available in 2006. Physical activity data were collected based on pedometer readings over four consecutive weekdays, and height and weight were measured. Identical instruments and procedures were used in all three years. There was an increase in physical activity in second-grade girls from 2000 to 2006 (p < 0.01), which then stabilised between 2006 and 2013, but second-grade boys and fifth-grade girls were stable throughout the study period. Fifth-grade boys decreased significantly (24%) from 16 670 to 12 704 steps per day (p < 0.01) from 2000 to 2013. Mean BMI scores remained stable over time. Time trends in physical activity differed between boys and girls. Second-grade boys and fifth-grade girls were stable throughout, whereas second-grade girls increased from 2000 to 2006 before stabilising. Fifth-grade boys showed a significant 24% reduction from 2000 to 2013. Changes in recess and leisure time habits, such as smartphone use, may have influenced the result.

Time trends in physical activity from 1982 to 2012 in Finland.

The aim of this study was to examine population trends from 1982 to 2012 in Finland for leisure time physical activity (LTPA), commuting physical activity (CPA), occupational physical activity (OPA), and total physical activity. Furthermore, time trends in physical activity by educational levels and body mass index (BMI) categories were explored. Data were collected in independent cross-sectional population surveys, implemented every 5 years from 1982 to 2012. The data comprised 21,903 men and 24,311 women. Participants underwent a health examination and filled in questionnaires. Information on LTPA, CPA, and OPA was used both separately and combined to create an index of total physical activity. Between 1982 and 2012, high LTPA has increased in men (from 21% to 33%) and women (from 12% to 27%). High CPA and high OPA have decreased in men (from 17% to 12% and from 48% to 36%, respectively) and women (from 30% to 20% and from 26% to 21%, respectively). Total physical activity has remained fairly stable. Differences by education and BMI have increased, particularly for LTPA. Marked changes in physical activity have taken place over time. Differences in LTPA and OPA have grown wider across educational groups and BMI categories.

Time trends of physical activity and television viewing time in Brazil: 2006-2012.

BackgroundDespite recent advances in surveillance of physical activity, data on time trends of physical activity in low and middle-income countries are lacking. This study describes time trends in physical activity and television viewing between 2006 and 2012 among Brazilian adults.MethodsData from 371,271 adult participants (18 + years) in the Surveillance System for Risk and Protective Factors for Chronic Illnesses using Telephone Survey (VIGITEL) were analysed. Time trends in leisure-time physical activity (≥ 5 days/wk; ≥ 30 min/day), transportation physical activity (using bicycle or walking for ≥ 30 minutes per day as a means of transportation to/from work) and proportion of participants spending more than three hours per day watching television were analysed. Annual changes according to sex, age and years of schooling were calculated.ResultsThere was an increase in leisure-time physical activity from 12.8% in 2006 to 14.9% in 2012 (annual increase of 1.9%; p < 0.001). This increase was more marked in younger participants and those with high-school education. Transportation physical activity decreased 12.9% per year (p < 0.001) from 2006 to 2008 and 5.8% per year from 2009 to 2012 (p < 0.001). The annual decline in television viewing time was 5% (p < 0.001) between 2006 and 2009 and 2% (p = 0.16) between 2010 and 2012.ConclusionNational survey data from Brazil indicate that leisure-time physical activity appears to be increasing, while television viewing time appears to be decreasing in recent years. However, transportation physical activity has been declining. These data are important for informing national public health policies.

Time Trends of Physical Activity Among Brazilian Adolescents Over a 7-Year Period

To evaluate time trends in physical activity among adolescents aged 10 to 19 years living in southern Brazil over a 7-year period. Two population-based cross-sectional surveys with similar methodologies were carried out in the city of Pelotas, Brazil, in 2005 and 2012. Leisure-time and transport-related physical activity were measured using a validated questionnaire. A cut-off point of 300 minutes per week was used to classify adolescents as active or not. We also analyzed the two domains of physical activity (leisure time and transportation) separately. The prevalence of physical inactivity was 69.6% (95% CI 66.5-73.2) in 2005 and 69.9% (95% CI 66.5-72.7) in 2012. The percentage of active adolescents in leisure time also remained stable in the period (26.3% in 2005 [95% CI 23.3-29.2] vs. 28.1% in 2012 [95% CI 24.9-31.4]). Among boys, we observed an increase in the practice of some leisure-time activities-weight lifting (87%) and running (78%)-and a decline in others-volleyball (61%) and basketball (56%). Among girls, the only significant difference was an increase in the practice of weight lifting (271%). The prevalence of active commuting to and from school declined from 69% (95% CI 65.6-72.4) in 2005 to 56.5% (95% CI 52.5-60.2) in2012. There was a significant decline in active commuting to school among adolescents. Interventions promoting active commuting modes to school are urgently needed in Brazil.

Tendências temporais de atividade física no Brasil (2006-2009)

To examine time trends in physical activity (PA) in Brazilian state capitals from 2006 to 2009. This analysis is based on data from the Telephone-based Surveillance of Risk and Protective Factors for Chronic Diseases (VIGITEL) accounting for an annual sample of approximately 54,000 individuals. PA indicators were analyzed in free time (leisure), work, home and transportation, time spent in front of the television and inactivity considering all PA domains. Poisson regression models were used to measure the variation of indicators over time. We considered the changes corresponding to a regression coefficient different from zero as being statistically significant (p<0.05). The percentage of active commuters increased from 11.7 to 14.4% (p<0.001) whereas the proportion of physically inactive individuals in the four domains decreased from 11.7 to 8.7% (p<0.001). There were no significant changes in the other indicators. Women were less active than men in all indicators, except for household chores. However, in this indicator the percentage of active women decreased from 71.4 to 67.1% (p<0.001). Between 2006 and 2009, PA levels in the Brazilian population were stable during free time and household chores, but increased in transportation, resulting in a decrease in the percentage of inactive individuals. The continued monitoring and strengthening of VIGITEL are public health priorities, and PA is a key part of it. In the long run, PA evolution may be re-evaluated.

Time Trends in Physical Activity in the State of São Paulo, Brazil

To document time trends in physical activity in the state of São Paulo, Brazil (2002-2008). In addition, we discuss the role of Agita São Paulo at explaining such trends. Cross-sectional surveys were carried out in 2002, 2003, 2006, and 2008 in the state of São Paulo, Brazil, using comparable sampling approaches and similar sample sizes. In all surveys, physical activity was measured using the short version of the International Physical Activity Questionnaire. Separate weekly scores of walking and moderate- and vigorous-intensity physical activities were generated; cutoff points of 0 and 150 min·wk were used. Also, we created a total physical activity score by summing these three types of activity. We used logistic regression models for adjusting time trends for the different sociodemographic compositions of the samples. The prevalence of no physical activity decreased from 9.6% in 2002 to 2.7% in 2008, whereas the proportion of subjects below the 150-min threshold decreased from 43.7% in 2002 to 11.6% in 2008. These trends were mainly explained by increases in walking and moderate-intensity physical activity. Increases in physical activity were slightly greater among females than among males. Logistic regression models confirmed that these trends were not due to the different compositions of the samples. Physical activity levels are increasing in the state of São Paulo, Brazil. Considering that the few data available in Brazil using the same instrument indicate exactly the opposite trend and that Agita São Paulo primarily incentives the involvement in moderate-intensity physical activity and walking, it seems that at least part of the trends described here are explained by the Agita São Paulo program.

Time trends in physical activity in leisure time in the Danish population from 1987 to 2005

To examine time trends in leisure-time physical activity in the Danish population from 1987 to 2005. Analyses were based on four national representative population surveys of 4752 respondents in 1987, 4667 in 1994, 16,688 in 2000, and 14,566 in 2005. Associations between leisure-time physical activity (dichotomised into high versus low) and temporal changes according to year of birth, age, and calendar-year were estimated in an age-period-cohort logistic regression model. Time trends in socioeconomic differences in physical activity were analysed by testing interaction terms. The odds ratio (OR) of being highly physically active in leisure time in 2005 compared to 1987 was 1.6 (95% CI: 1.3-1.9) among men and 1.8 (95% CI: 1.5-2.2) among women. The age- and calendar-year-adjusted probability of being highly physically active increased with year of birth. The OR of being highly physically active among men and women with 13 or more years of education were 2.1 (95% CI: 1.8-2.3) and 2.0 (95% CI: 1.7-2.2), respectively, compared to individuals with less than 10 years of education. There was no significant interaction between educational level and year of interview (p>0.05). During the past 20 years, physical activity in leisure time has increased. Younger generations seem to be more physically active in leisure time than older generations. Due to the stable socioeconomic inequality gap in physical activity, future intervention strategies should target these inequalities.

Trends in physical activity and inactivity amongst US 14-18 year olds by gender, school grade and race, 1993-2003: evidence from the youth risk behavior survey.

BackgroundRecent increases in the prevalence of adolescent obesity have been widely documented. Whilst there is a common lay perception that the current generation of adolescents is less active than ever before, there is little published data to support this notion. In addition, there is little published data on trends in physical activity in adolescents according to factors such as gender, age and race.MethodsData from the US Youth Risk Behavior Survey were used to explore time trends in physical activity (vigorous activity on three or more days in the last week) and inactivity (no vigorous activity in the last week) overall and according to gender, school grade and race amongst US adolescents between 1991 and 2003. Logistic regression was used to assess: the overall change in odds of adolescents being active or inactive per year, the change in odds of adolescents being active or inactive in each survey year compared to the first year for which data was included (1993), and the change in odds of adolescents being active or inactive in each survey year compared to the previous survey year. After analysing data for all individuals combined, separate analyses were performed by gender, school grade and race.ResultsThere was evidence of small, but statistically significant, overall trends towards decreased physical activity and increased inactivity over time amongst boys and those in school grades 9 and 10. Whilst few consistent survey to survey trends were seen, there was a significant decrease in the odds of all adolescents, boys and those in school grades 9 and 10 being active between 1993 and 2003 and a significant increase in the odds of the same groups being inactive between 1993 and 2003.ConclusionOverall changes in both activity and inactivity were generally small and are unlikely to play a significant role in reported secular trends in overweight and obesity in adolescents.

Time trends in physical activity among college alumni, 1962-1988.

Little direct evidence exists in the epidemiologic literature to support the widely held belief that an individual's physical activity behavior varies over the years. To provide data, the authors prospectively studied patterns of physical activity among 6,092 Harvard College alumni (average age at the start of follow-up, 43 years) who responded to questionnaires in 1962 or 1966, 1977, and 1988, and who declared themselves free of cardiovascular disease and cancer throughout that period. The median energy expenditure increased between 1962 or 1966 and 1977, but stabilized between 1977 and 1988. However, rank correlation coefficients between estimates of energy expenditure in 1977 and 1988 ranged from 0.36 to 0.41 for the various age groups (compared with 0.81-0.84 for the Quetelet index, and 0.60-0.65 for the current number of cigarettes smoked per day), implying that physical activity at the individual level was not constant. For 4,238 alumni for whom data on collegiate sports participation were available, the rank correlation coefficients between collegiate activity and alumni activity 1-7 decades later were even lower, ranging from 0.05 to 0.17 (compared with 0.31-0.58 for the Quetelet index). Thus, physical activity assessed over a short time period in an individual may not be a valid proxy for activity over the long term. The characteristics that distinguished alumni who consistently expended less than 1,000 kcal/week (in climbing stairs, walking, and playing sports) in 1962 or 1966, 1977, and 1988 from those who consistently expended greater than 2,500 kcal/week were as follows: at baseline, older age, overweight, and cigarette smoking; and during college, not having been a varsity athlete and fewer hours playing sports.