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. Author manuscript; available in PMC: 2015 Sep 1.
Published in final edited form as: Prev Med. 2014 May 27;66:1–5. doi: 10.1016/j.ypmed.2014.05.012

Is exercise used as medicine? Association of meeting strength training guidelines and functional limitations among older US adults

Jennifer L Kraschnewski a,b, Christopher N Sciamanna a,b, Joseph T Ciccolo c, Liza S Rovniak a,b, Erik B Lehman b, Carolina Candotti a, Noel H Ballentine a
PMCID: PMC4162126  NIHMSID: NIHMS605602  PMID: 24878584

Abstract

OBJECTIVE

To determine the association between meeting strength training (ST) guidelines (≥ 2 times per week) and the presence of functional limitations among older adults.

METHODS

This cross-sectional study used data from older adult participants (n=6,763) of the National Health Interview Survey conducted in 2011 in the United States.

RESULTS

Overall, 16.1% of older adults reported meeting ST guidelines. For each of nine functional limitations, those with the limitation were less likely to meet ST recommendations than those without the limitation. For example, 20.0% of those who reported no difficulty walking one-quarter mile met ST guidelines, versus only 10.1% of those who reported difficulty (p<.001). In sum, 21.7% of those with no limitations (33.7% of sample) met ST guidelines, versus only 15.9% of those reporting 1–4 limitations (38.5% of sample) and 9.8% of those reporting 5–9 limitations (27.8% of sample) (p<.001).

CONCLUSION

Strength training is uncommon among older adults and even less common among those who need it the most. The potential for ST to improve the public’s health is therefore substantial, as those who have the most to gain from ST participate the least.

Keywords: Aging, Public Health, Function, Lifestyle, Quality of Life, Muscle Strength, Exercise, Health Behavior, Physical Activity, Strength Training

INTRODUCTION

For many older adults, the loss of independence is often considered a fate worse than death. A 2007 survey of older US adults demonstrated that more seniors feared losing independence (26%) than feared dying (3%) (Prince Market Research 2007) and international studies have demonstrated similar results (Disabled Living Foundation 2009; Quine & Morrell 2007). It is not surprising, therefore, that the Healthy People 2020 goals for older adults focus not only on health, but also on “function and quality of life” (2011).

Unfortunately, functional limitations increase predictably with age due to loss of muscle mass and strength. Analysis of the National Health Interview Survey (NHIS) demonstrated that 17.3% of adults aged 55–64 had difficulty walking one-quarter mile, which increased to 56.1% of those aged 85 (Schoenborn & Heyman 2009). Many of these functional limitations, however, can be reversed or even prevented by strength training (ST) (Fiatarone et al. 1994; Nelson et al. 1994). For example, Gennuso and colleagues (2013) demonstrated that guideline-consistent ST interventions as short as 8 weeks can effectively shift older adults to a better overall functional classification. Given these benefits, the American College of Sports Medicine (ACSM) and American Heart Association (AHA) physical activity guidelines recommend that all adults participate in ST activities at least twice each week (Haskell et al. 2007). Further, these organizations launched the “Exercise is Medicine” initiative, in which physicians are encouraged to recommend physical activity to their patients as they would recommend any other effective treatment or preventive service (ACSM & AMA 2007). Despite these recommendations, only 21.7% of adults over 65 meet ST guidelines and physicians provide exercise counseling during a mere 11.3% of primary care visits (Centers for Disease and Prevention 2013; Kraschnewski 2013).

Although numerous studies have been conducted on ST behaviors and their benefits, it remains unknown if meeting ST guidelines is associated with the functional limitations of older adults. The aim of this investigation is to understand the association between meeting ST guidelines and the presence of functional limitations, to understand whether exercise is being used as a medicine (i.e. treatment for functional decline). We hypothesize that if ST were being used as a medicine, rates of use should be highest among those with the most functional limitations.

METHODS

This cross-sectional study analyzed data from the 2011 National Health Interview Survey (NHIS). Details of the survey sampling strategy and data collection procedures are described elsewhere (Centers for Disease Control and Prevention 2012). Briefly, NHIS data are collected through personal household interviews by Census interviewers. Households were the basic unit of the NHIS, and all family members were selected to participate. The household respondent provided basic demographic and family relationship information about all household members. One adult per family (the ‘sample adult’) was randomly selected to answer the Sample Adult questionnaire, which was analyzed in this study. Given our interest in assessing older adults, the analysis was limited to those individuals age 65 years and older.

Frequency of ST was assessed using the following question: “How often do you do leisure-time physical activities specifically designed to strengthen your muscles such as lifting weights or doing calisthenics?” Participant responses included both the number of times ST was performed and the unit of time (i.e. “per week,” “per month”). These responses were categorized to signify whether the individual performed these activities at least twice each week, consistent with the ACSM/AHA Guidelines (Centers for Disease and Prevention 2006).

Functional limitations were assessed using 9 self-reported questions that asked whether the individual had difficulty performing a range of common activities. Each question had a common header (“By yourself, and without using any special equipment, how difficult is it for you to...”) with five response options: “not at all difficult”, “only a little difficult”, “somewhat difficult”, “very difficult” and “can’t do at all.” The 9 activities included: “walk a quarter of a mile - about 3 city blocks”, “walk up 10 steps without resting”, “stand or be on your feet for about 2 hours”, “sit for about 2 hours”, “stoop, bend, or kneel”, “reach up over your head”, “use your fingers to grasp or handle small objects”, “lift or carry something as heavy as 10 pounds such as a full bag of groceries” and “push or pull large objects like a living room chair.” Each response was then dichotomized to reflect whether a functional limitation was absent (i.e., “not at all difficult”) or present (i.e., all other responses), similar to the approach utilized by Hardy et al (2011). A composite variable (range: 0–9) was created by summing the number of functional limitations per individual, with 0 reflecting no difficulty performing any activity and 9 reflecting difficulty performing all activities. The composite functional limitations variable was then divided into tertiles, based on the distribution of the population, to understand the relationship between meeting ST guidelines and functional limitations.

Covariates included demographic variables: age (categorized into 5-year intervals), gender, race (Caucasian, Asian, African-American), ethnicity (Hispanic vs. non-Hispanic), education level (less than high school, high school, some college/associate’s degree, bachelor degree or higher), marital status (married vs. unmarried), and region of the country (Northeast, Midwest, South, West). Additional covariates included past medical history (hypertension, diabetes, heart disease, overweight and obesity), and health behaviors (smoking, alcohol intake, physical activity), consistent with variables shown to have associations in other studies (Carlson et al. 2010; Ciccolo et al. 2010). Body Mass Index (BMI) was re-categorized into normal, overweight and obese, based on the NIH Guidelines (1998). Physical activity was categorized according to the 2008 Physical Activity Guidelines for Americans: highly active (≥300 minutes per week of light- to moderate-intensity activity, ≥150 minutes per week of vigorous-intensity activity or in combination); sufficiently active (150–300 minutes per week of light- to moderate-intensity activity, 75–150 minutes per week of vigorous-intensity activity or in combination; insufficiently active (some activity but not enough to meet the more active definitions); and inactive (no light-to moderate-or vigorous-intensity activity of ≥10 minutes per session) (Carlson et al. 2010; Schoenborn & Adams 2010; U.S. Department of Health and Human Services 2008).

The analysis was conducted using SAS Version 9.3 (Cary, NC) to account for the stratified sampling frame using sampling weights provided in the original data. Limiting the analysis to adults at least 65 years of age who were Caucasian, African American, or Asian (including Hispanic ethnicity) resulted in 6,763 observations. A weighted logistic regression analysis was used to analyze the association between functional limitations as well as other variables (i.e., hypertension) and meeting or not meeting strength training (ST) guidelines (yes/no) as the dependent variable. The magnitude and direction of significant associations were quantified with odds ratios. To adjust the association of functional limitations with meeting/not meeting strength training guidelines for other variables, a multivariable analysis was conducted using weighted multiple logistic regression. The multivariable analysis was performed in a stepwise manner, first by adjusting for demographic covariates, second by adjusting for chronic health conditions (i.e., hypertension, obesity), and third by adjusting for other health behaviors (i.e., physical activity), to isolate the relationship between meeting ST guidelines and functional limitations. For the multivariable models, observations with missing values were excluded from the analysis. However, this accounted for only 5% or less of the total observations.

RESULTS

Overall, 16.1% of adults 65 and older reported doing ST activities at least twice per week, consistent with guidelines from the ACSM/AHA (Haskell et al. 2007). The bivariate relationships between meeting ST guidelines and demographic, behavioral and medical history variables are shown in Table 1. Meeting ST guidelines was more common among older adults who were younger, male, non-Hispanic, those with greater education, and those living in the West. Each health behavior was associated with meeting ST guidelines. Nonsmokers, moderate drinkers (v. nondrinkers) and those who met guidelines for vigorous intensity activity were more likely to meet ST guidelines. Individuals without chronic medical conditions were also more likely to meet ST guidelines.

Table 1.

Association of demographic, medical history and risk behaviors of 2011 National Health Interview Survey participants with meeting strength training guidelines.

Characteristic Category Overall (N=6763) Met Strength Training Guidelines (≥ 2 times/week)
N (%) % P-valuea
Age 65–69 2059 (31.6) 20.1 <0.001
70–74 1554 (23.5) 17.7
75–80 1487 (22.1) 13.3
Over 80 1663 (22.9) 11.6
Gender Male 2713 (44.0) 18.8 <0.001
Female 4050 (56.0) 14.0
Race Caucasian 5538 (87.3) 16.7 <0.001
Asian 324 (3.9) 14.9
African American 901 (8.8) 10.6
Ethnicity Hispanic 677 (7.1) 8.9 <0.001
Non-Hispanic 6086 (92.9) 16.7
Education Less Than High School 1625 (21.1) 8.5 <0.001
High School Grad/GED 2049 (31.6) 10.9
Some College/Associate’s Degree 1587 (23.2) 18.8
Bachelor Degree or Higher 1438 (24.1) 27.6
Marital Status Married 2866 (56.2) 17.5 0.008
Unmarried 3897 (43.8) 14.4
Region Northeast 1224 (19.8) 13.6 <0.001
Midwest 1523 (22.3) 16.5
South 2445 (36.0) 13.7
West 1571 (21.9) 22.0
Body Mass Index Under 25 (Normal Weight) 2245 (33.1) 18.4 0.001
25–30 (Overweight) 2324 (35.1) 16.4
30+ (Obese) 2194 (31.8) 13.4
Hypertension Yes 4309 (62.8) 14.9 0.004
No 2441 (37.2) 18.3
Diabetes Yes 1376 (20.3) 12.8 0.002
No 5375 (79.7) 17.0
Chronic Heart Disease Yes 1083 (16.6) 14.4 0.146
No 5648 (83.4) 16.5
Smoker Yes 603 (7.9) 6.4 <0.001
No 6131 (92.1) 17.0
Alcohol Intake Does not drink 3629 (51.4) 11.0 <0.001
Moderate drinker 2818 (42.3) 21.6
Heavy drinker 214 (3.4) 21.5
Activity Level Highly active 18.9 35.1 <0.001
Sufficiently active 14.2 29.1
Insufficiently active 19.2 17.9
Inactive 47.7 4.0
a

P-values from a weighted logistic regression taking into consideration the complex sampling stratification and clustering, all percentages are weighted percentages

The association between meeting ST guidelines and functional limitations can be seen in Table 2 and Figure 1. Overall, the most commonly reported functional limitations were stooping, bending or kneeling (50.6%), and difficulty with standing for 2 hours (42.8%). There was a negative association between meeting ST guidelines and each of the nine functional limitations; those who met the ST guidelines were less likely to have functional limitations. In sum, 21.7% of those without functional limitations (33.7% of sample) met ST guidelines, versus only 15.9% of those reporting 1–4 limitations (38.5% of sample) and 9.8% of those reporting 5–9 limitations (27.8% of sample) (p<.001).

Table 2.

Association between meeting strength training guidelines and functional limitations of 2011 National Health Interview Survey participants.

Function Limited Overall (N=6763) Met Strength Training Guidelines (≥ 2 times/week)
N (%) % P-valuea
Lift or carry 10 pounds Yes 1833 (24.7) 9.1 <0.001
No 4930 (72.3) 18.4
Walk up 10 steps Yes 2254 (30.4) 9.3 <0.001
No 4509 (69.6) 19.1
Grasp small objects Yes 1356 (19.1) 12.8 0.005
No 5407 (80.9) 16.9
Reach over head Yes 1433 (19.8) 10.7 <0.001
No 5330 (80.2) 17.5
Stand for 2 hours Yes 3054 (42.8) 11.6 <0.001
No 3709 (57.2) 19.5
Stoop or bend Yes 3478 (50.6) 13.5 <0.001
No 3285 (49.4) 18.8
Walk ¼ mile Yes 2790 (39.3) 10.1 <0.001
No 3973 (60.7) 20.0
Sit for 2 hours Yes 1191 (16.3) 11.1 <0.001
No 5572 (83.7) 17.1
Push a large object Yes 2258 (31.4) 10.0 <0.001
No 4505 (68.6) 18.9
Functional Limitations 0 2197 (33.7) 21.7 <0.001
1–4 2525 (38.5) 15.9
5–9 2041 (27.8) 9.8
a

P-values from a weighted logistic regression taking into consideration the complex sampling stratification and clustering, all percentages are weighted percentages

Figure 1.

Figure 1

Percentage of US Older Adults Meeting Strength Training Guidelines by Number of Functional Limitations.

As shown in Table 3, after adjusting for demographic covariates, the odds of meeting ST guidelines was 1.92 times (95% CI; 1.51, 2.41) and 1.39 times (95% CI; 1.08, 1.80) the odds for those without limitations and those with 1–4 limitations, respectively, compared to those reporting 5–9 limitations. This pattern remained when demographic and past medical history variables (i.e., body mass index, hypertension, diabetes, chronic heart disease) were added to the model. After adjusting for these covariates, the odds of meeting ST guidelines was 1.79 times (95% CI; 1.39, 2.29) and 1.35 times (95% CI; 1.04, 1.75) the odds for those without limitations and those with 1–4 limitations, respectively, versus those reporting 5–9 limitations. After adding health behaviors (i.e., smoking, alcohol intake, physical activity level) to the model, however, the point estimate of the relationship between meeting ST guidelines and functional limitations was in the same direction, but was associated with wide confidence interval and no longer statistically significant. In this multivariable adjusted model, the odds of meeting ST guidelines were 0.99 times (95% CI; 0.76, 1.30) and 0.85 times (95% CI; 0.64, 1.13) the odds for those without limitations and with 1–4 limitations, respectively, compared with those reporting 5–9 limitations.

Table 3.

Meeting strength training guidelines associated with functional limitations of 2011 National Health Interview Survey participants adjusted for other characteristics

Functional Limitations Meets strength training guidelines [OR (95% CI)]a
Model 1: Demographics (A)b 0 1.92 (1.51, 2.41)
1–4 1.39 (1.08, 1.80)
5–9 Reference
Model 2: Demographics (A) + Past Medical History (B)c 0 1.79 (1.39, 2.29)
1–4 1.35 (1.04, 1.75)
5–9 Reference
Model 3: Demographics (A) + Past Medical History (B) + Health Behaviors (C)d 0 0.99 (0.76, 1.30)
1–4 0.85 (0.64, 1.13)
5–9 Reference
a

Odds ratios and 95% CI’s from a weighted multivariable logistic regression taking into consideration the complex sampling stratification and clustering

b

Group A variables: Age, Gender, Race, Ethnicity, Education, Marital status, Region

c

Group B variables: Body Mass Index, Hypertension, Diabetes, Chronic Heart Disease

d

Group C variables: Smoking, Alcohol Intake, Activity Level

DISCUSSION

This study sought to understand the relationship between meeting ST guidelines and functional limitations. The results showed a consistent and troubling pattern; those with functional limitations were less likely to meet ST guidelines. This pattern held for each functional limitation and when the limitations were summed; 21.7% of those with no functional limitations met ST guidelines versus 15.9% of those with 1–4 limitations and only 9.8% of those with 5–9 limitations. These patterns held, albeit less strongly, after adjusting for demographics and past medical history variables. Although the associations were no longer statistically significant after adjusting for other health behaviors, the point estimates continue to suggest that ST behaviors are associated with higher physical functioning.

To maximally improve the public’s health and to properly implement “Exercise is Medicine,” those with the greatest number of functional limitations should be performing ST the most. This expectation is similar to the observation that patients with the highest blood pressure should have the highest rates of antihypertensive medication use. Unfortunately, we found an opposite relationship; those with more functional limitations were consistently less likely to meet ST guidelines. This suggests the untapped potential of ST to improve the public’s health by properly targeting older adults most in need. Though ST has the potential to help people reverse functional limitations, more than 80% of affected older adults are not doing enough ST to likely improve those limitations. Notably, functional limitations are not only concerning for loss of independence, but are associated with both increased health expenditures and risk of death (Hardy et al. 2011).

Clinicians may not be surprised by these findings. Older patients who have functional limitations often believe they would be physically unable to do activities such as strength training, rather than that they need strength training. Though older adults report that they do ST activities to “improve performance of tasks at home,” our findings suggest that most individuals with functional limitations do not meet ST guidelines (Marzolini et al. 2010). Further research is necessary to understand the barriers to ST in older adults, which may include a lack of understanding of the benefits of ST.

Consistent with other studies, meeting ST guidelines was strongly associated with younger age, among other demographic and health behavior variables (Carlson et al. 2010; Centers for Disease and Prevention 2006; Chevan 2008). Ciccolo and colleagues (2010), using a separate survey of 9,651 US adults, observed that 37.5% of adults aged 35–54 met ST guidelines versus only 21.7% of adults 55 and older. Furthermore, multiple investigators have observed a clustering of health behaviors, including meeting leisure-time physical activity guidelines, not smoking and eating healthy (Lippke et al 2012; Yusuf et al. 1996).

Given the potential benefits of ST for older adults, future research may need to better address barriers that prevent regular ST among older adults. First, older adults may be unaware that ST can improve functional limitations. Second, ST recommendations are more recent than aerobic exercise recommendations, which may explain why Abramson and colleagues (2000) observed that ST counseling by physicians was less common than counseling for aerobic activity (ACSM 1978; ACSM 1990). Third, functional limitations may cause older adults to believe that ST is an activity they cannot do. This is consistent with studies that suggest lower levels of self-efficacy predict lower physical activity participation levels among older adults (Jerome & McAuley 2013; McAuley et al. 2005).

Despite the observed relationship between functional limitations and meeting ST guidelines, there are several limitations to this study. First, the direction of the association is not clear, given the cross-sectional design. More longitudinal and experimental studies need to be conducted to clarify the direction of the relationship between strength training and functional limitations. Second, only ST participation was reported, not session quality, and participation was not verified with objective measurement. Although self-report measures remain widely-used for physical activity assessment, studies utilizing objective measurement observe that self-report measures overestimate activity levels (Troiano et al. 2008). Third, it is likely that some older adults were physically unable to perform ST activities, so these findings may not apply to all older adults. As a large body of research shows that adults over 80 years of age can safely participate in ST, we believe this percentage of older adults physically incapable of performing ST activities is small (Brill et al. 1998; Nelson et al. 1994). Fiatarone and colleagues (1994), for example, enrolled nursing home patients (average age = 87.1) in a high intensity ST program and observed attendance rates of 97% over 10 weeks.

These limitations, however, do not alter a key observation of this study: the vast majority of older adults with functional limitations are not meeting ST guidelines. This suggests that there is great potential for using ST to improve the public’s health and that alternative strategies are needed to engage older adults, particularly those with functional limitations. A potential solution to better engage older adults is through the widespread dissemination of ST programs. One such ST program, Silver Sneakers from Healthways, is available at more than 14,000 fitness centers and is an included insurance benefit for more than 7.8 million older US adults (Nguyen et al. 2008a; Nguyen et al. 2008b). Even if programs were made available, however, the results of this study suggest that those who would benefit most may not participate.

Physician screening for functional limitations and referral of patients to community programs may increase participation. In the United Kingdom, for example, physicians refer patients to exercise programs which are reimbursed by the National Health Service (Orrow et al. 2012). Murphy and colleagues (2012) observed in the UK that these exercise referrals are more effective for patients with conditions that can be improved by exercise (i.e., coronary heart disease). Further studies are necessary to determine if a similar approach could be used for ST in older adults, particularly those with functional limitations. Without more prompts and opportunities, ST is likely to continue being used least by those who need it most, threatening the best intentions of “Exercise is Medicine” (ACSM & AMA 2007; Braith & Stewart 2006).

Highlights.

  • 16.1% of adults 65+ reported doing strength training (ST) at least twice per week.

  • Adults with functional limitations are less likely to meet ST guidelines.

  • Adults who have the most to gain from ST currently participate the least.

Acknowledgments

Preparation of this manuscript was funded, in part, by National Center for Advancing Translational Sciences, NIH, through Grant UL1TR000127 (Sinoway) and KL2TR000126, awarded to Dr. Jennifer Kraschnewski; by National Institute of Diabetes and Digestive and Kidney Disease, Grant 1R01DK095078, and the Clinical and Translational Science Institute of the Pennsylvania State University BENI Grant awarded to Dr. Christopher Sciamanna; and by NIH Grant R00HL088017 awarded to Dr. Liza Rovniak.

Footnotes

CONFLICT OF INTEREST STATEMENT:

The authors declare that there are no conflicts of interest.

The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Contributor Information

Jennifer L. Kraschnewski, Email: jkraschnewski@hmc.psu.edu.

Christopher N. Sciamanna, Email: csciamanna@hmc.psu.edu.

Joseph T. Ciccolo, Email: ciccolo@tc.columbia.edu.

Liza S. Rovniak, Email: lrovniak@hmc.psu.edu.

Erik B. Lehman, Email: elehman@phs.psu.edu.

Carolina Candotti, Email: ccandotti@hmc.psu.edu.

Noel H. Ballentine, Email: nballentine@hmc.psu.edu.

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