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. Author manuscript; available in PMC: 2017 Jul 21.
Published in final edited form as: Spine J. 2016 Oct 25;17(1):26–33. doi: 10.1016/j.spinee.2016.10.016

Objective measurement of free-living physical activity (performance) in lumbar spinal stenosis: are physical activity guidelines being met?

Justin Norden a,b, Matthew Smuck b, Aman Sinha c, Richard Hu d, Christy Tomkins-Lane b,e,*
PMCID: PMC5520978  NIHMSID: NIHMS872789  PMID: 27793759

Abstract

BACKGROUND

Research suggests that people with lumbar spinal stenosis (LSS) would benefit from increased physical activity. Yet, to date, we do not have disease-specific activity guidelines for LSS, and the nature of free-living physical activity (performance) in LSS remains unknown. LSS care providers could endorse the 2008 United States Physical Activity Guidelines; however, we do not know if this is realistic. The goal of the present study was to determine the proportion of individuals with LSS meeting the 2008 Guidelines. A secondary goal was to better understand the nature of physical performance in this population.

STUDY DESIGN

Retrospective study.

PATIENT SAMPLE

People from the Lumbar Spinal Stenosis Accelerometry Database, all of whom have both radiographic and clinical LSS and are seeking various treatments for their symptoms.

OUTCOME MEASURES

Seven-day accelerometry (functional outcome) and demographics (self-reported).

METHODS

For the present study, we analyzed only baseline data that were obtained before any new treatments. Patients with at least 4 valid days of baseline accelerometry data were included. We determined the proportion of individuals with LSS meeting the 2008 US Physical Activity Guidelines of at least 150 minutes of moderate-vigorous (MV) physical activity per week in bouts of 10 minutes or more. We also used the novel Physical Performance analysis designed by our group to determine time spent in varying intensities of activity. There are no conflicts of interest to disclose.

RESULTS

We analyzed data from 75 individuals with a mean age of 68 (SD 9), 37% of whom were male. Three people (4%) were considered Meeting Guidelines (at least 150 MV minutes/week), and 56 (75%) were considered Inactive with not even 1 MV minute/week. With the 10-minute bout requirement removed, 10 of 75 (13%) achieved the 150-minute threshold. The average time spent in sedentary activity was 82%, and of time spent in nonsedentary activity, 99.6% was in the light activity range.

CONCLUSIONS

In conclusion, the present study confirms that people with symptomatic LSS, neurogenic claudication, walking limitations, and LSS-related disability are extremely sedentary and are not meeting guidelines for physical activity. There is an urgent need for interventions aimed at reducing sedentary behavior and increasing the overall level of physical activity in LSS, not only to improve function but also to prevent diseases of inactivity. The present study suggests that reducing sedentary time, increasing time spent in light intensity activity, and increasing time spent in higher intensities of light activity may be appropriate as initial goals for exercise interventions in people with symptomatic LSS and neurogenic claudication, transitioning to moderate activity when appropriate. Results of the present study also demonstrate the importance of employing disease-specific measures for assessment of performance in LSS, and highlight the potential value of these methods for developing targeted and realistic goals for physical activity. Physical activity goals could be personalized using objective assessment of performance with accelerometry. The present study is one step toward a personalized medicine approach for people with LSS, focusing on increasing physical function.

Keywords: Accelerometry, Exercise, Lumbar spinal stenosis, Performance, Physical activity, Physical activity guidelines

Introduction

Lumbar spinal stenosis (LSS) is a painful, debilitating condition [18] with an estimated prevalence of 9% in the general population, and up to 47% in people over age 60 [9]. Lumbar spinal stenosis is the most common reason for spine surgery in patients over 65 [10], with a current estimated 2-year cost of $4 billion in the United States [11,12]. Given the aging population, both the prevalence and economic burden of LSS are expected to increase [1016].

Lumbar spinal stenosis is characterized by neurogenic claudication and mobility limitations [13,17,18]. Yet, despite the fact that neurogenic claudication is the hallmark of LSS, the effects of symptoms on free-living physical activity (performance) are not well understood. This lack of understanding is in part due to a dearth of objective measures of function in LSS and the reliance on inaccurate self-report tools [19]. Fortunately, recent advances in wearable technology have provided us with the tools to objectively measure free-living physical activity (performance) in people with LSS. Using accelerometers, we are beginning to understand more about performance in this population [13,20,21]. Some preliminary work with pedometers demonstrated that people with LSS take an average of around 4,000 steps/day [17], which is considered sedentary [22]. This research is supported by other pedometer-based studies suggesting that people with LSS are severely inactive [2,3,23]. This symptom-related sedentary behavior has many implications for overall health, obesity, and risk for diseases of inactivity [24].

There is an obvious need to intervene in people with LSS to prevent or improve sedentary behavior. Increased physical activity in daily life would not only help to prevent diseases of inactivity, but could also positively impact symptoms [23,24]. Research to date investigating physical activity for LSS has demonstrated that physical activity is effective for improving pain and function [2527]. Additionally, preliminary data suggest that a pedometer-based physical activity intervention is effective for improving pain, mental health, and fat mass in people with LSS [23].

Although there are some data suggesting that people with LSS could benefit from physical activity, there are no disease-specific guidelines available. The dose-response relationship between physical activity and other outcomes in LSS remains unclear. Given the lack of clinical guidelines for physical activity, it may be practical for care providers to follow the 2008 American Physical Activity Guidelines [28]. The guidelines recommend participation in 150 minutes of moderate-vigorous (MV) physical activity per week, accumulated in bouts of 10 minutes or more. Moderate-vigorous activity is considered to be movement that increases both heart rate and breathing rate, and is generally equivalent to brisk walking, whereas light activity is equivalent to leisurely walking [29]. These guidelines are endorsed for older adults by the American Geriatrics Association [30], and are recommended for older adults living with osteoarthritis [31]. Yet, while the recommended 150 minutes of MV activity may be realistic for some individuals with LSS, it is likely an inappropriate goal for most. In fact, given the clinical presentation of LSS, and the functional impacts of neurogenic claudication, it is likely that a focus on light intensity activity is more appropriate for this population [18,21,32]. However, until we understand the nature of performance in LSS, we do not know what represents a realistic physical activity goal, and whether promotion of moderate activity is appropriate. To date, it remains unclear whether people with LSS are meeting Physical Activity Recommendations.

There is an opportunity to make use of existing accelerometry data from individuals with LSS to better understand performance in this population. Over the past decade, our group has developed the Lumbar Spinal Stenosis Accelerometry Database (LSSAD). Using these data, we can determine the proportion of individuals meeting Physical Activity Recommendations, and assess whether these goals are appropriate for people with LSS. There is also an opportunity to better understand the characteristics of performance in LSS. In particular, our aim is to apply new methods designed by our group to interrogate accelerometry data from mobility-limited pain populations [33]. These new methods may provide insight into the performance characteristics of LSS, and define targets for physical activity interventions. Analysis using these new thresholds, called “Physical Performance analysis,” improves focus within the ranges of light intensity physical activity, where LSS is likely to have the greatest impact [24].

Therefore, the goal of the present study was to leverage existing accelerometry data to determine the proportion of individuals with LSS meeting the 2008 Physical Activity Guidelines. Asecondary goal of the present study was to better understand the nature of performance in this population, including the distribution of activity among intensity intervals. This will act as a first step toward developing disease-specific physical activity recommendations for LSS, by providing a deeper understanding of the nature of free-living physical activity (performance) in this population.

Materials and methods

Study design

This was a retrospective study of accelerometry data for individuals with LSS.

Lumbar Spinal Stenosis Accelerometry Database

In an effort to improve the understanding of performance in LSS, our group has created the largest known database of accelerometry data from people with LSS, the LSSAD. This database includes accelerometry data for 125 unique individuals with LSS. Individuals in the database were all undergoing treatment as part of multiple LSS treatment studies, including a lifestyle intervention [23], epidural steroid injections [17], and surgery [18,32,34]. All participants in these studies were included in the database. Therefore, the sample includes only people who were seeking care for symptomatic LSS. All participants were tested with accelerometry for 7 days before any treatment.

Inclusion criteria for database

All individuals included in the source studies, and therefore the database were required to have symptomatic lumbar spinal stenosis diagnosed clinically, and confirmed on imaging by a spine specialist physician. Aclinical presentation of neurogenic claudication, including self-reported walking limitations, was required for inclusion. Although the degree of anatomical stenosis on imaging was not recorded, evidence of anatomical stenosis corroborating the clinical findings was required as part of the diagnosis.

This database represents a population of individuals with symptomatic LSS and neurogenic claudication who were seeking care for their symptoms. Of the 125 individuals in the database, 75 met the strict accelerometry wear time inclusion criteria set for the present study. The clinical characteristics of the excluded individuals did not differ from the 75 who were included. The mean age for the group of 75 patients in the present study was 68 ± 8 years. All participants had self-reported walking limitations and neurogenic claudication, with an average measured walking distance on the Self Paced Walking Test of 1254 ± 457 m. The mean score on the Oswestry Disability Index was 45 ± 11 (considered severe disability). The mean score for leg pain was 4.2 ± 3.0 on a 10-point visual analog scale score, and 3.7 ± 2.9 for back pain. Therefore, results of the present study can be generalized to individuals with symptomatic LSS, neurogenic claudication, walking limitations, and LSS-related disability.

Approval for human research was obtained before all data collection from the University of Calgary and Stanford University Human Research Ethics Boards.

Accelerometry details

Accelerometry data were collected in a standard way for all individuals included in this database. Approximately 1 week before treatment, all individuals were instructed to wear an Actigraph GT1M (Actigraph LLC, Pensacola, FL, USA) on a belt, at the natural waistline on the right hip in line with the right axilla, upon rising in the morning and continuously until going to bed at night, for 7 consecutive days. Devices were only to be removed when bathing or swimming. These devices measure acceleration, and filter these raw acceleration data into a metric known as activity counts, which represent the intensity of physical activity. We used the variable of activity counts for our analysis. Accelerometers have been shown to be valid and reliable for assessment of free-living physical activity (performance) in people with mobility limitations [3539]. The accelerometer used for the present study, the Actigraph GT1M, is widely accepted in the field as the industry gold standard, and as a valid and reliable tool for assessing ambulatory physical activity [37,3947].

Data analysis

Inclusion criteria

We included data from individuals with at least 4 days of accelerometry data, defined using wear-time analysis at 10+ hours of wear per day. We defined nonwear periods as at least 90 minutes with zero activity counts, allowing for 2 consecutive interrupted minutes with counts <100, when defining the 10-hour valid day [42]. For all individuals who met minimum wear-time criteria, the weekly values were averaged to get a mean daily value for all accelerometry features (variables).

Accelerometry analysis

Accelerometry data for each participant were analyzed to see whether he/she met the 2008 US Physical Activity Guidelines. These guidelines recommend 150 minutes of MV physical activity per week, accumulated in bouts of 10 minutes or more. Given symptoms of neurogenic claudication, it is unlikely that individuals with LSS would accumulate activity in bouts of 10 minutes or more. Therefore, we also determined the total number of MV minutes for each individual, with the bout requirement removed.

Specifically, the accelerometry data were analyzed to categorize activity on a minute-by-minute basis into different intensities. To do this, we used intensity thresholds as defined by the National Cancer Institute (NCI) [48]. The intervals were sedentary (0–99 counts), light (100–2,019 counts), moderate (2,020–5,998 counts), and vigorous (5,999 counts). Total daily time in each of these intervals was calculated (minutes). Then, to conform to the NCI standards around meeting physical activity recommendations, we determined the number of minutes meeting bout criteria for each individual [48]. About is a 10+ minute window of consistent activity above a certain intensity threshold, allowing for interruptions of 1 or 2 minutes below the threshold, consistent with the NCI methods [48].

Weekly totals were calculated as 7 times the average daily total for persons with at least 4 valid days of monitoring. Each person was classified according to the 2008 Physical Activity Guidelines into the following physical activity levels: Meeting Recommendations (≥150 bouted MV activity minutes per week), Low Active (1–149 bouted MV activity minutes per week), or Inactive (zero bouted MV activity minutes per week). The inactive classification does not indicate the absence of any activity, but specifically the absence of MV activity bouts (eg, zero MV activity occurring in bouts of at least 10 minutes over 7 days).

Physical performance analysis

Because existing analytic methods, including the NCI cutpoints, were not designed to examine data from mobility-limited populations, we employed new methods recently developed by our group to interrogate accelerometry data in musculoskeletal pain populations. These new methods provide increased granularity in the light intensity range of activity where LSS is expected to have the greatest impact on performance. This is important because when employing the traditional NCI cut-points that define light versus MV activity, the nuances of performance in the light range may be missed. This new analysis is known as the Physical Performance analysis [33], and employs accelerometry thresholds that were empirically derived based on the relationships between physical activity and musculoskeletal pain. Expressed in counts/minute, the Physical Performance intervals are: Performance Sedentary (PSE) = 1–99, Performance Light 1 (PL1) = 100–349, Performance Light 2 (PL2) = 350–799, Performance Light 3 (PL3) = 800–2,499, and Performance Moderate/Vigorous (PMV) = 2,500–29,999. The data were analyzed using these thresholds, following the same methods described above for the NCI cut-points.

Results

Of the individuals in the database, 75 were eligible for analysis. Of these 75, 28 were male and 47 were female, with a mean age of 68 years (SD 9, range 49–85). Of the 75 individuals, 3 (4%) were considered as Meeting Guidelines (at least 150 minutes of MV minutes per week) (Table 1). Sixteen individuals (21%) were considered Low Active (1–149 bouted MV minutes per week), and 56 (75%) were considered Inactive (zero bouted MV minutes per week). With the 10-minute bout requirement removed, 10 of 75 (13%) were considered as Meeting Guidelines (7 males and 3 females) (Table 1). Analysis using these NCI thresholds showed that 82% of time was spent in sedentary activity, and 15% of time was spent in light intensity activity (Table 2). The percent of time spent in MV activity was 0.26% for males, 0.13% for females, and 0.14% overall. Because there was negligible activity in the vigorous range, we collapsed moderate and vigorous intervals into one interval (≥2020 counts).

Table 1.

Meeting activity guidelines

Bouted activity Nonbouted activity


0 Bouts (Inactive) 1–149 Minutes (Low active) 150+ Minutes (Meeting guidelines) 0–149 Minutes (Inactive/Low active) 150+ Minutes (Meeting guidelines)
Females 38 (81%) 8 (17%) 1 (2%) 44 (94%) 3 (6%)
Males 18 (64%) 8 (29%) 2 (7%) 21 (75%) 7 (25%)
Combined 56 (75%) 16 (21%) 3 (4%) 65 (87%) 10 (13%)

Bouted activity indicates moderate-vigorous activity minutes counted only when they occur within a minimum 10-minute sustained activity bout. Nonbouted activity includes all moderate-vigorous activity minutes.

Table 2.

Minutes spent per week in each intensity interval: National Cancer Institute intervals and Physical Performance intervals

PSE_1-99 PL1_100-349 PL2_350-799 PL3_800-2499 PMV_2500+ NCI_0-99 NCI_100-2019 NCI_2020+
Female 1st quartile 1124.6 (78.1) 94.76 (6.58) 43.8 (3.04) 16.67 (1.16) 0.14 (0.01) 1124.6 (78.1) 180.46 (12.53) 0.76 (0.05)
Median 1194.17 (82.93) 117.2 (8.14) 67.83 (4.71) 30.5 (2.12) 0.6 (0.04) 1194.17 (82.93) 219.83 (15.27) 1.83 (0.13)
3rd quartile 1247.21 (86.61) 131.46 (9.13) 88.36 (6.14) 51.3 (3.56) 1.63 (0.11) 1247.21 (86.61) 266.85 (18.53) 5.44 (0.38)
Male 1st quartile 1153.58 (80.11) 73.96 (5.14) 38.25 (2.66) 18.19 (1.26) 0.29 (0.02) 1153.58 (80.11) 120.32 (8.36) 1 (0.07)
Median 1180 (81.94) 101.95 (7.08) 69.04 (4.79) 36 (2.5) 1.76 (0.12) 1180 (81.94) 219.67 (15.25) 3.79 (0.26)
3rd quartile 1252 (86.94) 124.13 (8.62) 88.38 (6.14) 67.25 (4.67) 8.35 (0.58) 1252 (86.94) 262.22 (18.21) 20.76 (1.44)
Combined 1st quartile 1133.68 (78.73) 86.43 (6) 42.31 (2.94) 16.67 (1.16) 0.15 (0.01) 1133.68 (78.73) 164.5 (11.42) 0.86 (0.06)
Median 1186.14 (82.37) 113.83 (7.91) 68.75 (4.77) 32.25 (2.24) 0.75 (0.05) 1186.14 (82.37) 219.83 (15.27) 2 (0.14)
3rd quartile 1249.21 (86.75) 129.42 (8.99) 88.42 (6.14) 60.76 (4.22) 3.5 (0.24) 1249.21 (86.75) 266.68 (18.52) 9.92 (0.69)

PSE_1-99: Performance Sedentary Interval; PL1_100-349: Performance Light 1 Interval; PL2_350-799: Performance Light 2 Interval; PL3_800-2499: Performance Light 3 Interval; PMV_2500+: Performance Moderate-Vigorous Interval; NCI_0-99: National Cancer Institute Sedentary Interval; NCI_100-2019: National Cancer Institute Light Intensity Interval; NCI_2020+: National Cancer Institute Moderate-Vigorous Interval.

Using the Physical Performance analysis to examine sedentary and light intensity activity, the amount of time spent in the PSE range was 82% for males, 83% for females, and 82% overall (the NCI range for light activity is the same as PSE) (Table 3). When examining the three light intensity ranges, 7% of time was spent in PL1 for males, 8% for females, and 8% overall. PL2 represented 5% of time for males, 5% for females, and 5% overall. Finally, PL3 represented 2.5% of time for males, 2.1% for females, and 2.2% overall. Of time spent in nonsedentary activity, 52.8% was PL1, 31.9% PL2, and 15.0% PL3 (Table 3). Overall, 99.6% of nonsedentary time was spent in light activity.

Table 3.

Total activity time and percent of time spent in different physical performance intervals

PL1_100-349 (%) PL2_350-799 (%) PL3_800-2499 (%) PMV_2500+ (%) Total Activity Minutes
Female 54.23 31.38 14.11 0.28 216
Male 48.84 33.07 17.25 0.84 209
Combined 52.80 31.89 14.96 0.35 216

PL1_100-349: Performance Light 1 Interval; PL2_350-799: Performance Light 2 Interval; PL3_800-2499: Performance Light 3 Interval; PMV_2500+: Performance Moderate-Vigorous Interval.

Discussion

The goal of the present study was to leverage existing accelerometry data to determine the proportion of individuals with LSS meeting the 2008 US Physical Activity Guidelines. We also aimed to better understand the nature of free-living physical activity (performance) in this population, including the distribution of activity among intensity intervals. Given the population sampled, results of the present study apply to people with symptomatic LSS and neurogenic claudication, with walking limitations and LSS-related disability. Results of the present study suggest that people with LSS are extremely sedentary, with only 4% of individuals meeting the Guidelines of 150 minutes of MV physical activity per week. The vast majority of time (82%) was spent in sedentary behavior. Of time spent in nonsedentary behavior, 99.6% was in light activity, with 53% of this time in PL1 (the lowest of light intensities).

It appears that people with LSS are substantially less active than the US general population of the same age [49]. Based on accelerometry data from the National Health and Nutrition Examination Survey (NHANES), between 9% and 26% of individuals aged 60 to 69, and 6% to 10% of adults aged 70 or older are meeting current recommendations for physical activity (depending on cut-points used) [49]. Using 2003–2004 NHANES data with the NCI cut-point of at least 2020 counts/minute, MV activity among 60-to 69-year-olds averaged 12.4 minutes per week for women and 16.7 minutes per week for men, in contrast to the average of 2 minutes for LSS [48]. The average time spent in sedentary behavior for people over 60 is 35% [50], compared with 82% for LSS. Even compared with individuals with osteoarthritis of the hip and knee, the LSS population is less active [2]. Based on accelerometry data, 12.9% of men and 7.7% of women with radiographic knee osteoarthritis are meeting the current US Physical Activity Guidelines [51].

This sedentary behavior has a number of important implications for people with LSS, including functional decline, decreased autonomy, and strength deficits [23]. Weight gain associated with inactivity has the potential to limit treatment options, including surgery for people with severe LSS [5254]. Continued sedentary behavior may lead to diseases of inactivity, including cardiac disease, diabetes, metabolic syndrome, and certain forms of cancer [55]. There is an urgent need for management strategies aimed at reducing sedentary behavior and increasing activity in this population. Increasing physical activity in people with LSS would not only improve physical function but also prevent these individuals from re-entering the health-care system with diseases of inactivity.

Unfortunately, there are no clinical guidelines for prescribing physical activity in LSS. As mentioned, it may seem reasonable for care providers to endorse the 2008 US Physical Activity Guidelines, which prescribe 150 minutes of MV physical activity per week. However, results of the present study suggest that this recommendation may not be realistic as a starting goal for people with symptomatic LSS. Only 3 individuals of 75 (4%) met the guidelines when using 10-minute bouts of activity to reach 150 minutes, and when the bout requirement was removed, 10 of 75 (13%) met the guidelines. The vast majority of people (75%) were considered “inactive,” with not even 1 minute of MV activity recorded.

These results suggest that we need to start thinking about appropriate disease-specific approaches to both assessing and prescribing physical activity for people with LSS. In particular, when assessing people with LSS, and when designing disease-specific approaches to activity prescription, we could begin to increase focus on light intensity activity. In this LSS sample, 99.6% of nonsedentary time was spent in light activity, whereas less than 1% of time was spent in MV activity. It is apparent that people with symptomatic LSS are almost never active in the moderate range, and even less so in the vigorous range.

From an analytic perspective, these results confirm the need for methods tuned to interrogate performance in the light intensity ranges, such as the Physical Performance analysis [33]. This type of analysis allows us to better probe the impacts of LSS on free-living physical function by focusing on the spectrum of activity where people with LSS spend most of their time (sedentary and light activity). As mentioned, when employing the traditional cut-points that define light versus MV activity, such as the NCI cut-points, the nuances of performance in the light range may be missed. This is extremely important when studying conditions like LSS, given that the impacts of LSS symptoms on function are expected to be manifested in this range [21].

From an exercise prescription perspective, these results suggest that disease-specific interventions may need to focus on decreasing sedentary behavior and increasing the time spent in any type of activity. Given that people with LSS are largely sedentary, and almost never active in the moderate range, it may be unrealistic to prescribe moderate intensity activity as an initial goal, or as the only goal for exercise prescription. It may be more appropriate for new interventions to target reductions in sitting time, and to promote increased time in the higher ranges of light activity, transitioning to moderate activity when appropriate. It may be feasible to employ the Physical Performance analysis as a baseline for prescribing exercise in people with LSS. This analysis could be used to identify current activity patterns, and to set personalized and realistic goals for physical activity. Because these new intervals provide greater granularity in the light intensity range, we can get a clearer picture of baseline physical performance characteristics, and use this information to target small but important changes in physical activity. For example, an individual who is primarily sedentary, with some activity in the PL1 range, may be capable of increasing time spent in the PL1 range by 10 minutes, and perhaps add 3 minutes of activity in the PL2 range. However, it would be unrealistic to expect that individual to suddenly become active in the MV range, and definitely not realistic to expect him/her to do 150 minutes of MV activity per week initially. The goal would be to increase time spent in his/her current intensity ranges, while attempting to add time in activities at a higher intensity. Simply breaking up periods of sitting, or increasing leisurely walking time by a few minutes could have important impacts on overall health, weight loss, and risk for disease. For example, in arthritis research, although there is no minimum dose of MV activity that results in health benefits, just moving from the inactive category to low active (1– 149 bouted MV minutes per week) has been shown to have substantial benefits including reduced mortality, as well as reduced risk for coronary heart disease, hypertension, and diabetes [51].

Results of the present study also support the notion that when prescribing exercise for people with symptomatic LSS, a focus on extended bouts of ambulatory activity may not be appropriate. It is recognized clinically that neurogenic claudication limits consecutive walking in people with LSS [56]. In studies of LSS, individuals walk until forced to stop because of symptoms, and almost never sustain physical activity over a long period of time [2,3,17,56]. It follows that recommending an increase in physical activity throughout the day, in whatever way possible (shorter bouts), may be more realistic than requiring an activity to be over an extended period of time, like 10 minutes. Results of the present study suggest that in real life, people with LSS almost never have extended bouts of activity, and definitely not bouts of MV activity over 10 minutes. It is possible that the traditional bout metrics employed in the present study (10 minute bouts of MV activity) may not be appropriate for studying people with LSS. Future research could aim to define disease-specific bout metrics that would be realistic in an LSS population, and sensitive to small but important changes in performance.

Strengths and limitations

This is the first study of which we are aware to leverage a large set of objectively measured physical activity data (accelerometry) from a sample of individuals with symptomatic LSS and neurogenic claudication. The present study provides valid information on what people with LSS are actually doing in their day-to-day life. One limitation of the present study is the inability of accelerometers to capture nonambulatory activities such as swimming or cycling. This type of analysis will become possible as technology for measurement of such activities becomes available. It may be that people with LSS are physically active in modes not captured by these devices. Accelerometers are also unable to provide context on where activities are taking place (eg, where do people walk, with whom). This type of information would be important in designing physical activity interventions. Finally, results of the present study are limited to people with symptomatic LSS, neurogenic claudication, walking limitations, and LSS-related disability seeking care in either Canada or the United States who had 4 valid days of accelerometry data. Future research aims to continue this investigation in a larger sample of people with LSS, with a broader international representation.

Future research

The present study represents an important first step in the development of physical activity guidelines for LSS. However, to develop true evidence-based physical activity guidelines, we need to understand the dose-response relationships between activity and important clinical outcomes in people with LSS. Therefore, the next step is to understand how changes in performance relate to changes in other clinical outcomes including pain, disability, and quality of life. The goal is to conduct prospective trials that study the effects of varying doses of physical activity on these important clinical outcomes.

Conclusions

In conclusion, the present study confirms that people with symptomatic LSS, neurogenic claudication, walking limitations, and LSS-related disability are extremely sedentary, and are not meeting the guidelines for physical activity. There is an urgent need for interventions aimed a reducing sedentary behavior and increasing the overall level of physical activity in LSS, not only to improve function but also to prevent diseases of inactivity. The present study suggests that reducing sedentary time, increasing time spent in light intensity activity, and increasing time spent in higher intensities of light activity may be appropriate as initial goals for exercise interventions in people with symptomatic LSS and neurogenic claudication, transitioning to moderate activity when appropriate. Results of the present study also demonstrate the importance of employing disease-specific measures for assessment of performance in LSS, and highlight the potential value of these methods for developing targeted and realistic goals for physical activity. Physical activity goals could be personalized using objective assessment of performance with accelerometry. The present study is one step toward a personalized medicine approach for people with LSS, focusing on increasing physical function.

Footnotes

FDA device/drug status: Not applicable.

Author disclosures: JN: Nothing to disclose. MS: Stock Ownership: NuSpine (1%, Scientific Advisory Board), Blue Jay Mobile-Health (1%, Chief Advisor); Private Investments: Vivametrica/Sikoya (20%, Founding partner in early phase start-up); Trips/Travel: Spine Intervention Society, Board of Directors (B, Travel expenses), North American Spine Society, Advanced Lumbar Course Director and Annual Meeting Program Director (B, Travel expenses); Board of Directors: Vivametrica/Sikoya (Nonfinancial), Spine Intervention Society (Nonfinancial), North American Spine Society (Nonfinancial); Scientific Advisory Board: NuSpine (Stock options), Lumo Body Tech (Stock options), Blue Jay Mobile-Health (Stock options); Other Office: The Spine Journal (Nonfinancial, Deputy Editor), Spine Intervention Society (Nonfinancial, Board of Directors), North American Spine Society (Nonfinancial, Board of Directors); Other: Expert witness—State Farm (F), Expert witness—Kaiser Permanente (C). Relationships Outside the One-Year Requirement: Cytonics, Inc (12/2013, Research Support: Staff and/or Materials, F, last funds received in 2011). AS: Nothing to disclose. RH: Stock Ownership: Vivametrica Ltd. (Founder shares, no initial value), outside the submitted work. CT-L: Nothing to disclose.

The disclosure key can be found on the Table of Contents and at www.TheSpineJournalOnline.com.

References

  • 1.Conway J, Tomkins CC, Haig AJ. Walking assessment in people with lumbar spinal stenosis: capacity, performance, and self-report measures. Spine J. 2011;11:816–23. doi: 10.1016/j.spinee.2010.10.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Winter CC, Brandes M, Müller C, Schubert T, Ringling M, Hillmann A, et al. Walking ability during daily life in patients with osteoarthritis of the knee or the hip and lumbar spinal stenosis: a cross sectional study. BMC Musculoskelet Disord. 2010;11:233. doi: 10.1186/1471-2474-11-233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Schulte TL, Schubert T, Winter C, Brandes M, Hackenberg L, Wassmann H, et al. Step activity monitoring in lumbar stenosis patients undergoing decompressive surgery. Eur Spine J. 2010;19:1855–64. doi: 10.1007/s00586-010-1324-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Amundsen T, Weber H, Lilleås F, Nordal HJ, Abdelnoor M, Magnaes B. Lumbar spinal stenosis. Clinical and radiologic features. Spine. 1995;20:1178–86. doi: 10.1097/00007632-199505150-00013. [DOI] [PubMed] [Google Scholar]
  • 5.Chad DA. Lumbar spinal stenosis. Neurol Clin. 2007;25:407–18. doi: 10.1016/j.ncl.2007.01.003. [DOI] [PubMed] [Google Scholar]
  • 6.Binder DK, Schmidt MH, Weinstein PR. Lumbar spinal stenosis. Semin Neurol. 2002;22:157–66. doi: 10.1055/s-2002-36539. [DOI] [PubMed] [Google Scholar]
  • 7.Porter RW. Spinal stenosis and neurogenic claudication. Spine. 1996;21:2046–52. doi: 10.1097/00007632-199609010-00024. [DOI] [PubMed] [Google Scholar]
  • 8.Haig AJ, Tomkins CC. Diagnosis and management of lumbar spinal stenosis. JAMA. 2010;303:71–2. doi: 10.1001/jama.2009.1946. [DOI] [PubMed] [Google Scholar]
  • 9.Kalichman L, Cole R, Kim DH, Li L, Suri P, Guermazi A, et al. Spinal stenosis prevalence and association with symptoms: the Framingham Study. Spine J. 2009;9:545–50. doi: 10.1016/j.spinee.2009.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Deyo RA, Gray DT, Kreuter W, Mirza S, Martin BI. United States trends in lumbar fusion surgery for degenerative conditions. Spine. 2005;30:1441–5. doi: 10.1097/01.brs.0000166503.37969.8a. [DOI] [PubMed] [Google Scholar]
  • 11.Parker SL, Godil SS, Mendenhall SK, Zuckerman SL, Shau DN, McGirt MJ. Two-year comprehensive medical management of degenerative lumbar spine disease (lumbar spondylolisthesis, stenosis, or disc herniation): a value analysis of cost, pain, disability, and quality of life: clinical article. J Neurosurg Spine. 2014;21:143–9. doi: 10.3171/2014.3.SPINE1320. [DOI] [PubMed] [Google Scholar]
  • 12.Deyo RA, Mirza SK, Martin BI, Kreuter W, Goodman DC, Jarvik JG. Trends, major medical complications, and charges associated with surgery for lumbar spinal stenosis in older adults. JAMA. 2010;303:1259–65. doi: 10.1001/jama.2010.338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Deyo RA. Treatment of lumbar spinal stenosis: a balancing act. Spine J. 2010;10:625–7. doi: 10.1016/j.spinee.2010.05.006. [DOI] [PubMed] [Google Scholar]
  • 14.Harrop JS, Hilibrand A, Mihalovich KE, Dettori JR, Chapman J. Cost-effectiveness of surgical treatment for degenerative spondylolisthesis and spinal stenosis. Spine. 2014;39:S75–85. doi: 10.1097/BRS.0000000000000545. [DOI] [PubMed] [Google Scholar]
  • 15.Ciol MA, Deyo RA, Howell E, Kreif S. An assessment of surgery for spinal stenosis: time trends, geographic variations, complications, and reoperations. J Am Geriatr Soc. 1996;44:285–90. doi: 10.1111/j.1532-5415.1996.tb00915.x. [DOI] [PubMed] [Google Scholar]
  • 16.Lurie JD, Birkmeyer NJ, Weinstein JN. Rates of advanced spinal imaging and spine surgery. Spine. 2003;28:616–20. doi: 10.1097/01.BRS.0000049927.37696.DC. [DOI] [PubMed] [Google Scholar]
  • 17.Tomkins-Lane CC, Conway J, Hepler C, Haig AJ. Changes in objectively measured physical activity (performance) after epidural steroid injection for lumbar spinal stenosis. Arch Phys Med Rehabil. 2012;93:2008–14. doi: 10.1016/j.apmr.2012.05.014. [DOI] [PubMed] [Google Scholar]
  • 18.Smuck M, Buman M, Agnes M, Ith, Haskell W, Kao M-CJ. Lumbar spinal stenosis decompression normalizes free-living physical activity impairment. Spine J. 2013;13:S41–2. doi: 10.1016/j.spinee.2013.07.130. [DOI] [Google Scholar]
  • 19.Pruitt LA, Glynn NW, King AC, Guralnik JM, Aiken EK, Miller G, et al. Use of accelerometry to measure physical activity in older adults at risk for mobility disability. J Aging Phys Act. 2008;16:416–34. doi: 10.1123/japa.16.4.416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Tomkins-Lane CC, Battié MC. Predictors of objectively measured walking capacity in people with degenerative lumbar spinal stenosis. J Back Musculoskelet Rehabil. 2013;26:345–52. doi: 10.3233/BMR-130390. [DOI] [PubMed] [Google Scholar]
  • 21.Tomkins-Lane CC, Haig AJ. A review of activity monitors as a new technology for objectifying function in lumbar spinal stenosis. J Back Musculoskelet Rehabil. 2012;25:177–85. doi: 10.3233/BMR-2012-0325. [DOI] [PubMed] [Google Scholar]
  • 22.Tudor-Locke C, Craig CL, Brown WJ, Clemes SA, De Cocker K, Giles-Corti B, et al. How many steps/day are enough? For adults. Int J Behav Nutr Phys Act. 2011;8:79. doi: 10.1186/1479-5868-8-79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Tomkins-Lane CC, Lafave LMZ, Parnell JA, Rempel J, Moriartey S, Andreas Y, et al. The spinal stenosis pedometer and nutrition lifestyle intervention (SSPANLI): development and pilot. Spine J. 2015;15:577– 86. doi: 10.1016/j.spinee.2014.10.015. [DOI] [PubMed] [Google Scholar]
  • 24.Tomkins-Lane CC, Lafave LMZ, Parnell JA, Krishnamurthy A, Rempel J, Macedo LG, et al. The spinal stenosis pedometer and nutrition lifestyle intervention (SSPANLI) randomized controlled trial protocol. BMC Musculoskelet Disord. 2013;14:322. doi: 10.1186/1471-2474-14-322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Goren A, Yildiz N, Topuz O, Findikoglu G, Ardic F. Efficacy of exercise and ultrasound in patients with lumbar spinal stenosis: a prospective randomized controlled trial. Clin Rehabil. 2010;24:623–31. doi: 10.1177/0269215510367539. [DOI] [PubMed] [Google Scholar]
  • 26.Whitman JM, Flynn TW, Childs JD, Wainner RS, Gill HE, Ryder MG, et al. A comparison between two physical therapy treatment programs for patients with lumbar spinal stenosis: a randomized clinical trial. Spine. 2006;31:2541–9. doi: 10.1097/01.brs.0000241136.98159.8c. [DOI] [PubMed] [Google Scholar]
  • 27.Ammendolia C, Stuber K, de Bruin LK, Furlan AD, Kennedy CA, Rampersaud YR, et al. Nonoperative treatment of lumbar spinal stenosis with neurogenic claudication: a systematic review. Spine. 2012;37:E609–16. doi: 10.1097/BRS.0b013e318240d57d. [DOI] [PubMed] [Google Scholar]
  • 28.Physical Activity Guidelines Advisory Committee. Physical activity guidelines advisory committee report 2008. 2008. [Google Scholar]
  • 29.Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32:S498– 504. doi: 10.1097/00005768-200009001-00009. [DOI] [PubMed] [Google Scholar]
  • 30.American Geriatrics Society Panel on Exercise and Osteoarthritis. Exercise prescription for older adults with osteoarthritis pain: consensus practice recommendations. A supplement to the AGS Clinical Practice Guidelines on the management of chronic pain in older adults. J Am Geriatr Soc. 2001;49:808–23. doi: 10.1046/j.1532-5415.2001.00496.x. [DOI] [PubMed] [Google Scholar]
  • 31.Zhang W, Moskowitz RW, Nuki G, Abramson S, Altman RD, Arden N, et al. OARSI recommendations for the management of hip and knee osteoarthritis, Part II: OARSI evidence-based, expert consensus guidelines. Osteoarthritis Cartillage. 2008;16:137–62. doi: 10.1016/j.joca.2007.12.013. [DOI] [PubMed] [Google Scholar]
  • 32.Smuck M, Buman M, Haskell W, Ith MA, Masters B. Poster 87 activity changes following treatment of lumbar spinal stenosis. PM R. 2012;4:S219. doi: 10.1016/j.pmrj.2012.09.712. [DOI] [Google Scholar]
  • 33.Kao M-CJ, Jarosz R, Mackey S, Smuck M, Tomkins-Lane C. Poster 392 physical activity intensity signatures (PAIS) of pain: large-scale study reveals novel cut-points for accelerometry analysis in regional body pain. PM R. 2012;4:S324. doi: 10.1016/j.pmrj.2012.09.1002. [DOI] [Google Scholar]
  • 34.Tomkins-Lane C, Hu R. The relationship between performance and traditional outcomes of pain, function and quality of life in people with spondylolisthesis and lumbar spinal stenosis. Spine. 2012;1:181. [Google Scholar]
  • 35.Farr JN, Going SB, Lohman TG, Rankin L, Kasle S, Cornett M, et al. Physical activity levels in patients with early knee osteoarthritis measured by accelerometry. Arthritis Rheum. 2008;59:1229–36. doi: 10.1002/art.24007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Kooiman TJM, Dontje ML, Sprenger SR, Krijnen WP, van der Schans CP, de Groot M. Reliability and validity of ten consumer activity trackers. BMC Sports Sci Med Rehabil. 2015;7:24. doi: 10.1186/s13102-015-0018-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.McClain JJ, Hart TL, Getz RS, Tudor-Locke C. Convergent validity of 3 low cost motion sensors with the Acti Graph accelerometer. J Phys Act Health. 2010;7:662–70. doi: 10.1123/jpah.7.5.662. [DOI] [PubMed] [Google Scholar]
  • 38.Rikli RE. Reliability, validity, and methodological issues in assessing physical activity in older adults. Res Q Exerc Sport. 2000;71:S89– 96. [PubMed] [Google Scholar]
  • 39.Rothney MP, Schaefer EV, Neumann MM, Choi L, Chen KY. Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers. Obesity (Silver Spring) 2008;16:1946–52. doi: 10.1038/oby.2008.279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Rothney MP, Apker GA, Song Y, Chen KY. Comparing the performance of three generations of ActiGraph accelerometers. J Appl Physiol. 2008;105:1091–7. doi: 10.1152/japplphysiol.90641.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Rothney MP, Brychta RJ, Meade NN, Chen KY, Buchowski MS. Validation of the ActiGraph two-regression model for predicting energy expenditure. Med Sci Sports Exerc. 2010;42:1785–92. doi: 10.1249/MSS.0b013e3181d5a984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Song J, Semanik P, Sharma L, Chang RW, Hochberg MC, Mysiw WJ, et al. Assessing physical activity in persons with knee osteoarthritis using accelerometers: data from the osteoarthritis initiative. Arthritis Care Res. 2010;62:1724–32. doi: 10.1002/acr.20305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Bassett DR, Troiano RP, McClain JJ, Wolff DL. Accelerometer-based physical activity: total volume per day and standardized measures. Med Sci Sports Exerc. 2015;47:833–8. doi: 10.1249/MSS.0000000000000468. [DOI] [PubMed] [Google Scholar]
  • 44.Corder K, Brage S, Ekelund U. Accelerometers and pedometers: methodology and clinical application. Curr Opin Clin Nutr Metab Care. 2007;10:597–603. doi: 10.1097/MCO.0b013e328285d883. [DOI] [PubMed] [Google Scholar]
  • 45.Grydeland M, Hansen BH, Ried-Larsen M, Kolle E, Anderssen SA. Comparison of three generations of ActiGraph activity monitors under free-living conditions: do they provide comparable assessments of overall physical activity in 9-year old children? BMC Sports Sci Med Rehabil. 2014;6:26. doi: 10.1186/2052-1847-6-26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.John D, Tyo B, Bassett DR. Comparison of four ActiGraph accelerometers during walking and running. Med Sci Sports Exerc. 2010;42:368–74. doi: 10.1249/MSS.0b013e3181b3af49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Kaminsky LA, Ozemek C. A comparison of the Actigraph GT1M and GT3X accelerometers under standardized and free-living conditions. Physiol Meas. 2012;33:1869–76. doi: 10.1088/0967-3334/33/11/1869. [DOI] [PubMed] [Google Scholar]
  • 48.Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181–8. doi: 10.1249/mss.0b013e31815a51b3. [DOI] [PubMed] [Google Scholar]
  • 49.Tucker JM, Welk GJ, Beyler NK. Physical activity in U.S. : adults compliance with the Physical Activity Guidelines for Americans. Am J Prev Med. 2011;40:454–61. doi: 10.1016/j.amepre.2010.12.016. [DOI] [PubMed] [Google Scholar]
  • 50.Evenson KR, Buchner DM, Morland KB. Objective measurement of physical activity and sedentary behavior among US adults aged 60 years or older. Prev Chronic Dis. 2012;9:E26. [PMC free article] [PubMed] [Google Scholar]
  • 51.Dunlop DD, Song J, Semanik PA, Chang RW, Sharma L, Bathon JM, et al. Objective physical activity measurement in the osteoarthritis initiative: are guidelines being met? Arthritis Rheum. 2011;63:3372–82. doi: 10.1002/art.30562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Gepstein R, Shabat S, Arinzon ZH, Berner Y, Catz A, Folman Y. Does obesity affect the results of lumbar decompressive spinal surgery in the elderly? Clin Orthop Relat Res. 2004:138–44. doi: 10.1097/01.blo.0000141901.23322.98. [DOI] [PubMed] [Google Scholar]
  • 53.Andreshak TG, An HS, Hall J, Stein B. Lumbar spine surgery in the obese patient. J Spinal Disord. 1997;10:376–9. [PubMed] [Google Scholar]
  • 54.Garcia RM, Messerschmitt PJ, Furey CG, Bohlman HH, Cassinelli EH. Weight loss in overweight and obese patients following successful lumbar decompression. J Bone Joint Surg Am. 2008;90:742–7. doi: 10.2106/JBJS.G.00724. [DOI] [PubMed] [Google Scholar]
  • 55.Ogilvie D, Foster CE, Rothnie H, Cavill N, Hamilton V, Fitzsimons CF, et al. Interventions to promote walking: systematic review. BMJ. 2007;334:1204. doi: 10.1136/bmj.39198.722720.BE. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Tomkins CC, Battié MC, Rogers T, Jiang H, Petersen S. A criterion measure of walking capacity in lumbar spinal stenosis and its comparison with a treadmill protocol. Spine. 2009;34:2444–9. doi: 10.1097/BRS.0b013e3181b03fc8. [DOI] [PubMed] [Google Scholar]

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