Although there is consensus that physical activity can provide many health benefits (1–5), it remains under debate as to how best to accrue physical activity and if different activity patterns have similar benefits. United States federal physical activity guidelines recommend at least 150 min of moderate- to vigorous-intensity physical activity per week, performed in bouts of at least 10 min. (6) However, there is little guidance as to how people should accumulate that activity (e.g., on how many days of the week?). In fact, other physical activity guidelines have recommended activity be performed 1 or 2 d·wk−1 or “most days of the week” (7,8), leaving the issue unresolved.
There remains a question if there are similar health benefits when someone performs the majority of their activity on a few days rather than a smaller amount each day, a pattern sometimes called the “weekend warrior” pattern. Previous studies have shown that weekend warriors have at least as much reduced mortality risk as more regular exercisers (9–12), but also may be susceptible to greater injury rates. (13) However, these studies of the weekend warrior have relied on self-reported activity, which may be susceptible to recall limitations and may not provide detailed enough data to look at activity sessions or bout characteristics in greater detail. The next logical question may be “for the same total activity time, is it better to engage in many sessions of shorter duration, or fewer longer sessions of activity.”
Objective measures of assessment such as those from accelerometers, may allow us to examine in greater detail the impact of physical activity patterns on health. Accelerometers objectively assess activity continuously in real-time, capturing all the activity throughout the day and not just leisure-time activity (14). In addition, detailed time data allows for the examination of patterns characteristics such as frequency and duration of activity with greater precision. Few studies have used accelerometers to examine activity patterns and mortality (15,16). Evenson et al. (15), using latent class analysis, identified participants who were most active only on the weekends, but did not observe any deaths within this group using this definition. It remains of interest to expand upon this work by relaxing the definition to 1 or 2 d, without requiring them to be weekend days, and examining a wider range of weekly total activity. Saint-Maurice et al. (16) reported that similar reductions in mortality were observed independent of the proportion of activity performed in activity bouts. The aim of this study was to utilize detailed information from accelerometer-assessed physical activity to examine the association of physical activity patterns, such as the weekend warrior and activity bouts, with mortality in a population-based cohort study.
Participants were drawn from the National Health and Nutrition Examination Survey (NHANES), a population-based study of the United States, comprising both an interview and an in-person medical examination (17). Accelerometry was first added to NHANES in 2003 to 2004 and 2005 to 2006 to objectively assess physical activity and sedentary behavior (18). This study included 5461 adults (age ≥40 yr) who wore an accelerometer during the 2003 to 2004 or 2005 to 2006 NHANES cycles. Participants were excluded if the monitor was not properly calibrated or reliable (n = 341), had fewer than six valid days of wear (described below, n = 1678), or were lost to mortality follow-up as of 2013 (n = 4). The final analytical sample was 3438 participants. All participants provided written consent and all study procedures were approved by the research ethics review board at the National Center for Health Statistics.
Accelerometer-assessed physical activity
Accel erometers are small, portable devices that assess physical activity by measuring accelerations over time. Participants were asked to wear the accelerometer, an ActiGraph 7164 (ActiGraph Inc, Pensacola, FL), on their right hip for 7 d during waking hours. Acceleration data were collected every minute along the vertical axis of the hip. After the week of wear, the data were then downloaded to a computer and assessed for ‘wear time,’ periods of time the accelerometer was actually worn by the participant, using a standard algorithm. Briefly, nonwear time was defined as 90 consecutive minutes of no activity provided there were 30 min of no activity up and downstream (19). A valid day was conventionally defined as day of 10 or more hours of wear (18). To examine physical activity patterns over a week, a minimum of six valid days was required for the present analysis.
We first calculated the amount of time spent per week in moderate-to-vigorous physical activity (MVPA) using previously validated cutpoints (20). MVPA was defined as any minute where the accelerometer registered ≥1952 counts, where a count is a summary measure of the intensity of acceleration over time. We were interested in not only the amount of MVPA participants engaged in per week, but also how that MVPA was accrued over the week. To examine this, we created physical activity profiles based on the amount of MVPA and the weekly accrual pattern. The MVPA categories were based on the federally recommended 150 min of MVPA per week, but without any minimum bout length restriction (6). Within each MVPA category (inactive, <37.5; insufficiently active, 37.5 to <150; and sufficiently active, ≥150 min·wk−1), we then examined two patterns of physical activity accrual: “weekend warriors,” who accrued ≥50% of their weekly MVPA on only 1 or 2 d, and “regularly active” participants who spread their activity over the entire week. This definition was chosen a priori to satisfy the definition of a ‘majority of activity on the weekends’. This resulted in a total of five physical activity profiles: 1) inactive group (<37.5 min of MVPA per week); 2) regular, but insufficiently active group participating in 37.5 to <150 min; 3) weekend warrior with insufficient weekly activity group with 37.5 to <150 min; 4) regularly active group who met the guidelines (≥150 min·wk−1); and 5) weekend warrior group who met the guidelines (≥150 min·wk−1).
While the “weekend warrior” pattern focuses on the number of physically active days, we were also interested in smaller windows of time, that is, sessions or bouts of physical activity. The US federal physical activity guidelines recommend physical activity be accrued in periods of 10 min or more (6). We defined MVPA bouts as periods of MVPA lasting at least 10 consecutive minutes with 1- or 2-min allowance below the MVPA threshold (18). We calculated three bout characteristics: 1) the number of bouts per week, 2) the average bout duration, and 3) the maximum bout duration.
Participant characteristics and mortality follow-up
Participant characteristics such as age, gender, race, education, smoking status, alcohol use, healthy eating index, body mass index, diabetes status (self-reported physician diagnosis), and physical function and limitations were assessed during the interview and in-person examination. Mortality follow-up was conducted via National Death Index linkage through December 31, 2013. Deaths were excluded if they occurred within the first 24 months of follow-up (n = 115) to minimize bias from individuals who were inactive because they were sick. Detailed survey protocols and mortality linkage procedures are described elsewhere (17,21).
Participant characteristics were described by physical activity profile. To examine the rate of mortality between weekend warriors and regularly active participants, hazard ratios (95% confidence intervals) were calculated using Cox survival analysis. To compare weekend warriors and regularly active participants at the same total MVPA volume, we adjusted for weekly MVPA volume. Weekend warriors and regularly active participants were compared two ways: 1) within physical activity groups and 2) graphically, using a restricted cubic spline to visually compare the mortality rates of the two patterns continuously across the entire range of MVPA values. Hazard ratios were further adjusted for age, accelerometer wear time, gender, race, smoking status, alcohol use, and healthy eating index.
Interactions by age, sex, and body mass index were tested. Three sets of sensitivity analyses were conducted: 1) additionally adjusting for body mass index, diabetes, and physical function; 2) using a more restrictive “weekend warrior” threshold of 67% (i.e., two-thirds) of weekly MVPA on only 1 or 2 d; and 3) applying a more liberal MVPA intensity threshold of 760 counts per minute or 1041 counts per minute, as suggested by some studies (22,23).
We also aimed to investigate the associations of bout chaacteristics (frequency, average duration, maximum duration) on mortality rate. To examine these associations, we calculated adjusted hazard ratios (95% confidence intervals) of an increase in one bout or 10 min in bout duration using Cox survival analyses. We additionally adjusted for total MVPA to examine bout characteristics independent of MVPA volume, as well as reported the Pearson correlation of the characteristics with total MVPA. Analyses were conducted using R software (version 3.4.3) and adjusted for NHANES survey design using sampling weights (MEC weights adjusted for a minimum valid wear time of 6 d).
On average, participants were 57.1 (standard error (SE) = 0.4) years old and wore the accelerometer for 6140 min (SE = 26 min) or approximately 14.6 h·d−1. Examining participants based on physical activity profile, 36.6% were inactive, accruing <37.5 min·wk−1 of MVPA; 32.3% were “weekend warriors,” performing ≥50% of their weekly activity in only 1 or 2 d; and 31.1% were “regularly active,” spreading their activity more evenly across the week. Compared to both the regularly active and weekend warrior participants, inactive participants tended to be older, female, less educated, less likely to use alcohol, more likely to have diabetes, and more likely to have difficulty walking or climbing steps (Table 1). Weekend warriors and regularly active participants appeared to be fairly similar in terms of most participant characteristics, except that regularly active participants engaged in ~ 50% more MVPA than weekend warriors.
Between 2003 and 2013 (average follow-up, 77.4 months), there were 394 deaths among the initial analytical sample of 3438 participants. We observed an inverse dose response of time spent in MVPA and mortality rate for both regularly active and weekend warrior participants (Fig. 1). The confidence intervals for the regularly active and weekend warrior participants were substantially overlapping across the range of MVPA. Compared to inactive participants, both insufficiently active and sufficiently active weekend warriors and regularly active participants experienced a 60%–69% reduction in mortality rate after adjusting for age, gender, race, education, smoking status, alcohol consumption, and healthy eating index (Table 2). Weekend warriors, those performing a majority of their MVPA on 1 or 2 d only, had similar mortality rate reduction as regularly active participants when compared to inactive participants (Table 2). This was observed both among those meeting the guidelines of at least 150 min·wk−1 of MVPA (6) (hazard ratio [95% confidence interval] weekend warriors: 0.31 [0.17–0.51] vs regularly active: (0.40 [0.26–0.63]) and those with some but insufficient amounts of MVPA (weekend warriors: 0.33 [0.23–0.46] vs regularly active (0.32 [0.19–0.53]).
We observed no statistically significant interactions by age, gender, or body mass index (P > 0.10). We conducted sensitivity analyses, adjusting for additional variables, examining different definitions of “weekend warrior” and using more lenient MVPA accelerometer thresholds. Further adjustment for body mass index, diabetes, or physical functioning status did not substantially alter the association of physical activity profile on mortality. Similarly, increasing the amount of MVPA performed on 1 or 2 d from 50% to 67% of the weekly volume, or using the more lenient MVPA thresholds of 760 and 1041 instead of 1952 counts per minute, did not substantially change the similar reductions between weekend warriors and regularly active participants.
Next, we examined the association of mortality and characteristics of sustained MVPA bouts (at least 10 min), specifically the frequency of bouts, average bout duration, and maximum bout. When examining the association of an additional MVPA bout per week, we observed an increased mortality rate of 13% (1.13 [1.04–1.23]), meaning fewer bouts had a lower mortality rate. Both average and maximum bout duration were not statistically significant predictors of mortality after adjusting for total MVPA (Table 3). Bout frequency, average bout duration, and maximum bout duration were moderately to highly correlated with total MVPA (rho = 0.81, 0.58, and 0.70, respectively, Table 3). The mortality hazard ratios associated with an increase in bout frequency or 10 min in bout duration did not differ substantially when the analyses were restricted to those with at least one bout, removing those with no bouts.
The few studies that have examined physical activity bout patterns in relation to health outcomes have primarily relied on self-reported activity with limited information on the bout length, duration, or frequency. The present study used accelerometers to objectively assess moderate-to-vigorous physical activity patterns and the association of those patterns with all-cause mortality. We examined the “weekend warrior,” finding that those participants who performed a majority of their MVPA on only 1 or 2 d, had similar mortality rate reduction as those who spread out their activity over more days during the week. Interestingly, this similar benefit between weekend warriors and regularly active participants was observed across a wide range of total activity volumes, not just among those who meeting the US Federal physical activity guideline recommendations (6).
Confirming previous studies (1,24,25), we observed an inverse dose–response of greater amount of MVPA and reduced mortality rates. Significant mortality rate reductions were observed with as little as 37.5 min of MVPA (or 25% of the US Federal guideline recommendations (6)). Previous studies examining the weekend warrior have also found that weekend warriors experience mortality rate reductions similar to those who exercise more regularly (10–12). However, these studies generally compare weekend warriors and regularly active participants only among those meet the recommendation of at least 150 min·wk−1 of MVPA. In our data using a wider range of activity levels, we observe that nearly one third of participants actually engaged in a weekend warrior pattern. Restricting to higher activity levels only, previous studies reported approximately 4% to 5% of the population being classified as weekend warriors. For example, using latent class analysis, Evenson et al. (15) identified participants who were most active on weekends. This does not mean a lack of comparability between previous and the current study; however, as if we restrict to only those with high activity levels or only weekends (instead of any 1 or 2 d during the week), we also classified a similar proportion of participants weekend warriors (~3.5%).
A recent study by O’Donovan et al. (11) observed that even among those with lower levels of activity, those with only one or two sessions of activity maintained significant benefits. Our spline analysis furthers this discussion showing similar hazard ratio curves for weekend warriors and regularly active participants over the entire range of activity volume. These data support the weekend warrior activity pattern for increased health benefits even at lower total activity levels. Although previous literature has suggested weekend warriors may be more susceptible to injury (13), we observed very few deaths due to injury (<1%), but were unable to assess nonfatal injuries in these data.
Accelerometers provide an opportunity to examine physical activity patterns that are not limited to the number of days per week spent being active, but also the frequency and duration of individual sessions of activity. There are limited data examining activity patterns and long-term health outcomes. Parsons et al. (26,27), in a cross-sectional study of older men using accelerometers to describe activity patterns, reported that physical activity and sedentary bout duration was not associated with subclinical vascular disease. Evenson et al., using latent class analysis, show that mortality benefits were largely independent of the percent of MVPA bouts per day (15). In addition, a recent study by Saint-Maurice et al., observed similar mortality benefits independent of the proportion of total MVPA that was accrued in bouts, using a lower threshold for MVPA (16). In the present study, we observed that bout frequency but not bout duration was associated with a mortality rate.
An additional MVPA bout per week was associated with an increased mortality rate of 13%, indicating a potential preference for longer, fewer bouts. However, increased bout duration was not statistically significant. This may be the result of multicollinearity (moderate to high correlations with total MVPA were observed) or insufficient power to detect a difference by bout duration. One hypothesis to support longer, fewer bouts may be that the initial time during a bout may be at a lower intensity than the remainder of the bout, such as a “warm-up,” and thus a longer bout may have more time at the higher intensity. In the present study, we did not observe a threshold effect for the bout frequency or bout duration, but was most likely insufficiently powered to examine this. Further research is needed to fully examine the optimum bout duration and frequency.
This study has several strengths. This study used accelerometers to objectively assess MVPA, removing potential biases from self-reported assessment, as well as allowing for the detailed examination of activity accrual patterns over time. Participants were drawn from the National Health and Nutritional Examination Survey (NHANES), a US population-based survey with 99% complete mortality follow-up, increasing the generalizability of the findings. NHANES has an extensive amount of participant information, both from questionnaires and an in-person clinical assessment, allowing for statistical adjustment of relevant covariables to limit residual confounding. Sensitivity analyses further accounting for body mass index, functional status, and diabetes status did not change the associations. To limit the potential for reverse causation, participants who died within 24 months of the accelerometer-assessment were excluded from the analyses. Lastly, sensitivity analyses allowing for different definitions of accelerometer-assessed MVPA and weekend warrior categorization were conducted and did not change the observed conclusions.
However, our study also has several limitations. We only examined all-cause mortality and the findings may not be directly applicable to other outcomes such as cardiovascular disease, diabetes status, or musculoskeletal injury rates. In addition, there were few events in several of the bout analyses categories limiting the statistical power of the comparisons. Accelerometers detect movement and motion, not specific physical activity behaviors. (14) Thus is may be inappropriate to directly translate accelerometer-derived activity estimates to self-reported estimates. However, in this article, we examine physical activity across a wide range of activity levels, including continuously. This provides interesting insight into the dose–response of movement and health, even if the absolute values of activity time are not directly translatable. Furthermore, we conducted sensitivity analyses at using several definitions of MVPA and weekend warrior to be able to generalize these relative comparisons independent of the MVPA threshold, a point of contention when translating accelerometer to self-reported estimates. Perhaps with the advance of machine learning and other statistical techniques, we will better be able to bridge motion and behavior estimates (28–30). Accelerometers are limited in their ability to detect specific activities such as cycling and swimming, potentially underestimating weekly MVPA.
In conclusion, this study supports current physical activity guidelines that recommend physical activity for health, including reduced mortality risk. Weekend warriors experienced similar mortality rate reductions as participants who engaged in activity more frequently, when both groups had the same total amount of MVPA. Future research is needed to more fully examine the relative importance activity bout duration.
This research is supported in part by the Intramural Research Program at the National Institute on Aging, National Institutes of Health (Harris, Schepps, Shiroma). M. K. was supported by the Overseas Research Fellowship of the Sasakawa Sports Foundation.
The results of this study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation. The results of the present study do not constitute endorsement by ACSM.
The authors report no conflicts of interest.
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Keywords:© 2019 American College of Sports Medicine
EPIDEMIOLOGY; ACCELEROMETER; EXERCISE; ADULTS; POPULATION-BASED