Abstract
Adults with functional limitations are more likely to be physically inactive than those without functional limitations, despite evidence that regular physical activity (PA) slows the progression of functional decline. The health care setting provides an opportunity to communicate with patients about positive behavior changes, including increased PA, but there is little information about provider recommendation for PA to adults with functional limitations. This study investigated health care provider recommendation to increase PA among adults with and without functional limitations.
Adults (≥18 years) who participated in the 2016 National Health Interview Survey and reported ≥1 primary care encounter within the previous 12 months were included (unweighted n=23,540; weighted N=170,004,764). Receipt of PA recommendation and physical functioning limitations were self-reported. Statistical analyses were weighted to account for complex survey sampling design.
One-third (35.88%) of adults received a PA recommendation and 19.71% reported functional limitations. Adults who received a PA recommendation were more likely to have a functional limitation than those who did not (28.64% vs. 14.70%; p<0.001), even after adjusting for covariates and current activity level (aOR=1.48; 95% CI:1.33,1.65). PA recommendation for those with functional limitations appeared to increase during middle age and peak for adults aged 65–75 years (57.01%) but declined substantially for adults ≥75 years.
Only one-third of adults in the United States received PA recommendations. Health care providers recommended PA to approximately half of adults with functional limitations. Continued efforts to leverage health care encounters for behavior change should be explored, particularly for middle aged and older adults.
Keywords: physical activity, functional limitation, mobility disability, health care provider physical activity recommendation
INTRODUCTION
Insufficient physical activity is a leading risk factor for chronic conditions, including heart disease, obesity, and type 2 diabetes1–2. Regular physical activity improves brain health, prevents cancer, boosts cardiometabolic health, and prevents weight gain3–6. The U.S. Department of Health and Human Services recommends that adults achieve ≥150 minutes of moderate-intensity or ≥75 minutes of vigorous-intensity physical activity, along with muscle strengthening activities, each week7. However, more than 80% of adults fail to meet aerobic and muscle strengthening guidelines and approximately one-third of adults in the United States report no physical activity during a usual week8–9.
In the United States, 16.3% of adults experience physical functioning limitations10 and less than half of adults in the United States with a functional limitation engage in aerobic activity.11, 12 Further, there are significant differences in physical activity for adults with a disability or functional limitations across age groups.12 Physical activity is important for all adults, including those with functional limitations, because physical activity can prevent or delay age-related declines in functioning. Increasing physical activity among those with functional limitations can also lead to related health benefits, including increased strength, improved cardiovascular function, reduced stress and depression, reduced joint swelling, and improved pain management13–14. The majority of physically active adults with functional limitations were adults during their middle age years (aged 45–64 years)11. This demographic pattern differs from physical activity in the larger population, where younger adults report more activity than other age groups14 and men tend to be more active than women15–16.
One method for increasing physical activity among all adults, including those with functional limitations or disability, is through recommendation by a health care provider. The health care setting is a unique opportunity to support healthy behaviors like physical activity because physicians meet with patients face-to-face and can make in-person recommendations to increase preventive health behaviors like screening or engagement in physical activity17. In fact, Healthy People 2030, the U.S. Preventive Services Task Force, and the National Council for Behavioral Health recommend that physicians should include physical activity education and counseling during regular office visits8,18. This is particularly relevant for adults with arthritis and/or obesity19–20.
Previous surveillance work has shown that approximately 44% of adults with disabilities receive a recommendation to increase physical activity from their health care provider21. Functional limitations are a known intermediary between risk factors, such as chronic disease or impairment, and disability.22 It is unclear if recommendations for physical activity to persons with functional limitations differ by sex, age, or other sociodemographic characteristics. Using a representative sample of U.S. adults, the purpose of this paper is to determine the prevalence of adults who received a recommendation from a health care provider to increase physical activity, and determine if recommendations differed by functional limitation status, age, or other sociodemographic characteristics.
METHODS
Data
The National Health Interview Survey (NHIS) is a cross-sectional survey that has monitored the health of Americans annually since 195723. Data for the NHIS is collected through confidential interviews conducted in households across the United States22. NHIS measures physical and mental health status, chronic health conditions, measures of functioning and disability, health care access, insurance coverage, pain management, and demographic information25. In 2016, the final household response rate was 67.1%24. The analytic sample for the present study included 23,540 adults aged ≥18 years who participated in the 2016 NHIS and reported ≥1 primary care encounter within the previous 12 months24.
Measures
Physical functioning was assessed using nine questions that asked about perceived difficulty in performing tasks, including walking a quarter of a mile; climbing 10 steps without resting; standing on feet for 2 hours; sitting for two hours; stooping, bending, or kneeling; reaching over head; using fingers to grasp small objects; lifting 10-pound objects; and pushing or pulling heavy objects. Response options included: no difficulty, some difficulty, a lot of difficulty, cannot do at all/unable to do, or missing (refused, not ascertained, or don’t know). Adults with functional limitations were defined as adults who reported some or more difficulty on ≥1 task.26 A mobility disability is a specific type of functional limitation with difficulty walking or climbing.27 Adults with a mobility disability were defined as adults who reported some or more difficulty on walking a quarter of a mile or climbing 10 steps without resting.
In the scope of an office visit, physicians may encourage physical activity by advice, prescriptions, referrals, or counseling. For the purposes of this paper, a physical activity recommendation encompasses all of these mechanisms, as is consistent with other work.28 Receipt of a physical activity recommendation was assessed with one question: ‘In the past 12 months, have you been told by a doctor or health professional to increase physical activity or exercise?’23 The analytic sample for this study included 23,540 adults aged ≥18 years who participated in the 2016 NHIS and reported ≥1 primary care encounter within the previous 12 months.
Other variables included sociodemographics, health conditions, and health behaviors. Sociodemographic variables included age (18–35, 35–45, 45–55, 55–65, 65–75, 75+), race/ethnicity (Hispanic, non-Hispanic white, non-Hispanic black, other), and education (less than high school, HS graduate/GED, some college, bachelor’s degree). BMI was calculated using self-reported height and weight (weight (kg) / height (m)2). BMI was then categorized into underweight (BMI <18.5), normal (18.5≤BMI<25), overweight (25≤BMI<30), and obese (BMI≥30). Health conditions were dichotomized as yes/no based on whether a health professional ever told the participant they had the condition. Conditions included hypertension, high cholesterol, coronary heart disease, chronic obstructive pulmonary disease (COPD), asthma, cancer, diabetes, and arthritis. Any chronic disease was defined as the presence of ≥1 chronic disease. Smoking status was determined using two questions: “Have you smoked at least 100 cigarettes in your entire life?” and “Do you now smoke cigarettes every day, some days or not at all?” and categorized as never, former, or current. Physical activity was measured using the following questions: “How often do you do VIGOROUS leisure-time physical activities for AT LEAST 10 MINUTES that cause HEAVY sweating or LARGE increases in breathing or heart rate?”, “About how long do you do these vigorous leisure-time physical activities each time?”, “How often do you do LIGHT OR MODERATE leisure-time physical activities for AT LEAST 10 MINUTES that cause ONLY LIGHT sweating or a SLIGHT to MODERATE increase in breathing or heart rate?”, and “About how long do you do these light or moderate leisure-time physical activities each time?” Using cutpoints from the Physical Activity Guidelines for Americans (7), total exercise minutes per week were used to classify participants as inactive (0 minutes per week), insufficiently active (1–149 minutes per week) or sufficiently activity (≥150 minutes per week).
Statistical Analysis
Data management and analyses were performed using SAS v9.4 (SAS Institute Inc., Cary, NC, USA). We determined the unweighted sample size and frequency of all variables of interest. The SURVEYFREQ procedure was used to calculate the weighted prevalence of all variables to account for the complex survey sampling design of NHIS. For all adults, we compared those who did and did not receive a physical activity recommendation using chi-square tests. Then, we assessed the prevalence of physical activity recommendation by age group and functional limitation status. Unadjusted and adjusted logistic regression with survey sampling weights was conducted using the SURVEYLOGISTIC procedure to generate odds ratios (OR) and corresponding 95% confidence intervals (CI). Unadjusted models assessed the relationship between each variable of interest and physical activity recommendation. The adjusted model assessed the relationship between functional limitation and physical activity recommendation, adjusting for age, sex, race/ethnicity, education, any chronic disease, BMI, smoking status, and physical activity behavior.
RESULTS
In 2016, one-third (35.88%) of adults received a physical activity recommendation, 19.70% reported ≥1 functional limitation, and 10.01% reported a mobility disability. Nearly one-quarter (24.06%) of participants were between the ages of 18 and 35 while only 10% of participants were over the age of 75. The majority (54.39%) of adults were female, over two-thirds (67.77%) were non-Hispanic White, over half (64.22%) reported at least some college education, one-third (37.56%) reported hypertension, and 29.08% reported arthritis. Approximately half of participating adults reported being sufficiently physically active (Table 1).
Table 1.
Weighted Characteristics of Adults by Receipt of Physical Activity Recommendation
| Total | Physical activity recommendation | No physical activity recommendation | P | |||
|---|---|---|---|---|---|---|
| Unweighted n=23,540 | Weighted n=170,004,764 | |||||
| n | % | % (SE) | % | % | ||
| Age group | ||||||
| 18–35 | 4627 | 19.66 | 24.06 (0.45) | 14.64 | 29.36 | |
| 35–45 | 3035 | 12.89 | 15.10 (0.37) | 14.66 | 15.34 | |
| 45–55 | 3738 | 15.88 | 17.88 (0.36) | 20.92 | 16.19 | <0.001 |
| 55–65 | 4560 | 19.37 | 18.83 (0.36) | 22.71 | 16.64 | |
| 65–75 | 4294 | 18.24 | 14.11 (0.30) | 17.10 | 12.42 | |
| 75+ | 3286 | 13.96 | 10.02 (0.24) | 9.98 | 10.04 | |
| Sex | ||||||
| Male | 10107 | 42.94 | 45.61 (0.43) | 44.80 | 46.09 | 0.17 |
| Female | 13433 | 57.06 | 54.39 (0.43) | 55.20 | 53.91 | |
| Race/Ethnicity | ||||||
| Hispanic | 2362 | 10.03 | 13.82 (0.66) | 14.60 | 13.39 | |
| Non-Hispanic White | 17143 | 72.82 | 67.77 (0.84) | 65.00 | 69.32 | <0.001 |
| Non-Hispanic Black | 2550 | 10.83 | 11.80 (0.52) | 13.05 | 11.08 | |
| Other | 1485 | 6.31 | 6.62 (0.33) | 7.36 | 6.21 | |
| Education | ||||||
| Less than HS | 2703 | 11.52 | 11.47 (0.34) | 12.25 | 11.03 | |
| HS graduate/GED | 5692 | 24.26 | 24.25 (0.46) | 24.12 | 24.32 | 0.0169 |
| Some college | 7503 | 31.97 | 31.90 (0.46) | 31.96 | 30.60 | |
| Bachelor’s degree | 7568 | 32.25 | 33.19 (0.63) | 31.67 | 34.05 | |
| Health conditions | ||||||
| Hypertension | 9858 | 41.94 | 37.56 (0.48) | 52.46 | 29.22 | <0.001 |
| High cholesterol | 8460 | 36.04 | 32.83 (0.43) | 47.61 | 24.55 | <0.001 |
| Coronary heart disease | 1591 | 6.78 | 5.56 (0.19) | 8.63 | 3.85 | <0.001 |
| COPD | 1218 | 5.18 | 3.92 (0.16) | 5.64 | 2.97 | <0.001 |
| Asthma | 3491 | 14.84 | 14.98 (0.32) | 17.85 | 13.37 | <0.001 |
| Cancer | 3127 | 13.30 | 11.36 (0.27) | 13.02 | 10.43 | <0.001 |
| Diabetes | 3093 | 13.59 | 12.19 (0.29) | 21.03 | 7.40 | <0.001 |
| Arthritis | 7860 | 33.43 | 29.08 (0.46) | 39.26 | 23.40 | <0.001 |
| Body Mass Index | ||||||
| BMI <18.5 | 388 | 1.69 | 1.75 (0.12) | 0.88 | 2.23 | |
| 18.5≤BMI<25 | 7242 | 31.61 | 31.56 (0.45) | 16.76 | 39.79 | <0.001 |
| 25≤BMI<30 | 7983 | 34.84 | 35.01 (0.44) | 32.69 | 36.28 | |
| BMI≥30 | 7299 | 31.86 | 31.68 (0.48) | 49.67 | 21.69 | |
| Functional Limitation Status | ||||||
| ≥1 Limitation | 5431 | 23.08 | 19.71 (0.38) | 28.64 | 14.70 | <0.001 |
| 0 Limitations | 18096 | 76.92 | 80.29 (0.38) | 71.36 | 85.30 | |
| Mobility Disability | 2914 | 12.38 | 10.01 (0.27) | 13.96 | 7.79 | <0.001 |
| Health behaviors | ||||||
| Smoking status | ||||||
| Never | 13653 | 58.05 | 61.09 (0.54) | 58.40 | 62.59 | |
| Former | 6392 | 27.18 | 24.85 (0.42) | 27.35 | 23.45 | <0.001 |
| Current | 3473 | 14.77 | 14.06 (0.37) | 14.25 | 13.96 | |
| Physical Activity | ||||||
| Inactive | 6540 | 28.17 | 27.15 (0.62) | 29.30 | 25.92 | |
| Insufficiently active | 4915 | 21.17 | 21.24 (0.40) | 27.53 | 17.70 | <0.001 |
| Sufficiently active | 11760 | 50.66 | 51.61 (0.59) | 43.17 | 56.38 | |
Data Source: NCHS, National Health Interview Survey, 2016.
Notes: Physical activity was self-reported. Total exercise minutes per week were used to classify participants as inactive (0 minutes per week), insufficiently active (1–149 minutes per week) or sufficiently activity (≥150 minutes per week).
Table 1 compares adults who received a physical activity recommendation and those who did not receive a physical activity recommendation. Adults with a physical activity recommendation were more likely to be between the ages of 45 and 75 compared to adults without a recommendation (p<0.001). Compared to adults who did not receive a recommendation, adults who received a physical activity recommendation were more likely to have chronic health conditions, including hypertension (52.46% vs. 29.22%; p<0.001), high cholesterol (47.61% vs. 24.55%; p<0.001), arthritis (39.26% vs. 23.40%; p<0.001), and diabetes (21.03% vs. 7.40%; p<0.001. Adults with a physical activity recommendation were more likely to be obese than adults without a recommendation (49.67% vs. 21.69%; p<0.001). Adults with a physical activity recommendation were also more likely to be insufficiently active compared to adults without a recommendation (27.53% vs. 17.70%; p<0.001). However, there was no statistically significant association between sex and physical activity recommendation (Table 1).
Overall, adults with ≥1 functional limitation were more likely to receive a PA recommendation than those without limitations, even after adjusting for covariates and current activity level (aOR=1.48; 95% CI: 1.33,1.65). The prevalence of adults who received a recommendation to increase physical activity differed based on age and the presence of functional limitations. At every age, individuals with at least one functional limitation were more likely to receive a physical activity recommendation compared to those without a functional limitation. Physical activity recommendations for those with functional limitations appeared to increase during middle age and peaked for adults aged 65–75 years (57.01%) but declined substantially for adults ≥75 years (Figure 1). Patterns were similar for adults with mobility disability.
Figure 1.

Prevalence of adults who received a recommendation to increase physical activity by age and functional limitation status NHIS 2016.
Data Source: NCHS, National Health Interview Survey, 2016
Figure 2 shows the distribution of functional limitations in the total population. Functional limitations and mobility disabilities are relatively common in the United States – over 16% of adults reported a functional limitation and approximately 8% reported a mobility disability. The most common limitations were walking, standing, and stooping (Figure 2). Figure 3 shows the distribution of physical activity recommendation among those with functional limitations. At least 40% of adults with a functional limitation received a recommendation to increase physical activity. For example, among adults with a walking limitation, 47.58% received a recommendation to increase physical activity and 52.32% did not.
Figure 2.

Distribution of Functional Limitations among Total Population
Data Source: NCHS, National Health Interview Survey, 2016
Figure 3.

Receipt of Physical Activity Recommendation Among Adults with a Functional Limitation
Data Source: NCHS, National Health Interview Survey, 2016
In multivariate models, sex, race, education level, presence of chronic disease, body mass index, physical activity level, and the presence of a limitation were significantly associated with receiving a physical activity recommendation (Table 2). Obesity appeared to have the strongest association with receiving a physical activity recommendation. In the total sample, individuals who were obese had more than four times the odds of receiving a physical activity recommendation (aOR = 4.57; 95% CI: 4.11, 5.08) compared to individuals who were not obese (Table 2). The presence of a chronic disease was also strongly associated with receiving a physical activity recommendation. In the total sample, individuals who were diagnosed with a chronic disease had 2.57 times the odds of receiving a physical activity recommendation (OR = 2.34; 95% CI: 2.10, 2.61) compared to those who did not have a chronic disease (Table 2).
Table 2.
Bivariate and Multivariate Associations Between Characteristics of Adults and Receipt of Physical Activity Recommendation, NHIS 2016.
| Bivariable Models | Multivariate Model | |||
|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |
| 18–35 | Ref | --- | Ref | --- |
| 35–45 | 1.92 | 1.67, 2.20 | 1.46 | 1.26, 1.70 |
| 45–55 | 2.59 | 2.26, 2.97 | 1.64 | 1.40, 1.91 |
| 55–65 | 2.74 | 2.44, 3.07 | 1.61 | 1.41, 1.85 |
| 65–75 | 2.76 | 2.42, 3.15 | 1.56 | 1.34, 1.82 |
| 75+ | 1.99 | 1.75, 2.28 | 1.29 | 1.09, 1.52 |
| Sex | ||||
| Male | Ref | --- | Ref | --- |
| Female | 1.05 | 0.98, 1.14 | 1.10 | 1.01, 1.20 |
| Race/Ethnicity | ||||
| Hispanic | 1.16 | 1.04, 1.30 | 1.45 | 1.25, 1.68 |
| Non-Hispanic White | Ref | --- | Ref | --- |
| Non-Hispanic Black | 1.26 | 1.12, 1.41 | 1.20 | 1.04, 1.37 |
| Other | 1.26 | 1.09, 1.47 | 1.95 | 1.64, 2.31 |
| Education | ||||
| Less than HS | 1.19 | 1.05, 1.36 | 0.76 | 0.66, 0.89 |
| HS graduate/GED | 1.07 | 0.97, 1.18 | 0.79 | 0.71, 0.89 |
| Some college | 1.12 | 1.02, 1.23 | 0.93 | 0.84, 1.03 |
| Bachelor’s degree | Ref | --- | Ref | --- |
| Any chronic disease | ||||
| No | Ref | --- | Ref | --- |
| Yes | 3.34 | 3.05, 3.65 | 2.34 | 2.10, 2,61 |
| Body Mass Index | ||||
| BMI <18.5 | 0.94 | 0.64, 1.37 | 1.00 | 0.67, 1.49 |
| 18.5≤BMI<25 | Ref | --- | Ref | --- |
| 25≤BMI<30 | 2.14 | 1.93, 2.37 | 1.96 | 1.77, 2.18 |
| BMI≥30 | 5.44 | 4.93, 5.99 | 4.57 | 4.11, 5.08 |
| Smoking status | ||||
| Never | Ref | --- | Ref | --- |
| Former | 0.25 | 1.15, 1.35 | −0.01 | 0.90, 1.08 |
| Current | 1.09 | 0.99, 1.21 | 0.99 | 0.88, 1,12 |
| Physical Activity | ||||
| Inactive | 1.48 | 1.35, 1.61 | 1.08 | 0.97, 1.20 |
| Insufficiently active | 2.03 | 1.85, 2.23 | 1.70 | 1.53, 1.90 |
| Sufficiently active | Ref | --- | Ref | --- |
| Any limitation | ||||
| No | Ref | --- | Ref | --- |
| Yes | 2.33 | 2.14, 2.53 | 1.48 | 1.33, 1.65 |
| Model c statistic | 0.739 | |||
Data Source: NCHS, National Health Interview Survey, 2016.
Notes: Physical activity was self-reported. Total exercise minutes per week were used to classify participants as inactive (0 minutes per week), insufficiently active (1–149 minutes per week) or sufficiently activity (≥150 minutes per week).
DISCUSSION
The purpose of this investigation was to determine the prevalence of adults who received a recommendation to increase physical activity from a health care provider, by age and functional limitation status. Overall, a third of adults who visited a health care provider during the previous 12 months received a recommendation to increase physical activity. Middle aged adults were more likely than either younger or older adults to receive a physical activity recommendation, such that the pattern by age represented an inverted u-shaped curve. This age pattern was observed for adults both with and without functional limitations or mobility disability as well. Notably, adults with ≥1 functional limitation were much more likely to receive a recommendation to increase physical activity than those without functional limitations, which suggests that health care providers may be targeting adults who may benefit most from increasing physical activity. This could be expanded further by the increasing health care provider awareness, training, and focus on the Exercise Is Medicine initiative.29
Physical activity engagement can prevent, delay, or even improve functional limitations in older adults.30 In a nationally representative study in Spain, the prevalence of functional limitations increased for both men and women as physical activity levels decreased.31 Higher levels of physical activity in middle aged and older adulthood greatly decreased the risk of developing functional limitations for both men and women.32 In our sample, we observed that adults ≥75 years were less likely to receive a physical activity recommendation from a health care provider. International guidelines suggest that all adults, if able, should be engaged in 150 minutes of moderate-intensity physical activity each week throughout the life course, regardless of age.9,33–34 Our findings suggest that health care providers may be missing an opportunity to recommend physical activity engagement among older adults.
Prevention of functional limitations or mobility disability during middle age is important. Longitudinal data from the Study of Women’s Health Across the Nation suggest the onset of functional limitations occurs during the middle age, beginning earlier than previously accepted.35–36 Early identification of functional limitations not only improves symptom management but can also support amelioration and/or reversal of limitations.35 In fact, physical functioning may be most dynamic during the middle age, which suggests this time period is critical for intervention.37 Ameliorating functional limitations can reduce health care costs and improve quality of life. Healthcare costs associated with disability accounted for 26.7% of all healthcare expenditures in the United States in 2018.38 In a prospective cohort study of 843 adults, functionally dependent persons spent $5,000 more per year on healthcare compared to those who were independent.39
Adults with chronic conditions were significantly more likely to receive a physical activity recommendation from a health care provider than adults without chronic conditions. Our findings are consistent with other work40 demonstrating that physician recommendations for physical activity are higher for persons with cardiovascular disease, arthritis, diabetes, hypertension, and alcohol misuse.41–44 Similar to survey data from the National Health and Nutrition Examination Survey45, each of the health conditions tested in our sample showed a significantly higher likelihood of receiving a physical activity recommendation from a health care provider. Our results are consistent with previous findings. Adults with diabetes, arthritis, high cholesterol, or hypertension were more likely to receive a physical activity recommendation from a health care provider than adults without health conditions. We also observed that patients who received a recommendation to increase physical activity were more likely to be obese than patients who did not receive a recommendation. Other work has suggested that physicians are highly concerned with elevated BMI in patients but have limited interest in assuming an active role in reducing BMI.46 Only a quarter of adults with obesity received a recommendation for physical activity from a health care provider in 2014. One goal of Healthy People 2030 is to increase the percent of obese adults who receive a physical activity recommendation to 32.6%.19 In a study examining the relationship between behavior and physician advice, about one-third of overweight and obese patients received a recommendation from a physician to increase physical activity.47 Another study found that less than 22% of primary care physicians tracked concerning weight or weight-related behaviors and less than half counseled patients on diet and exercise practices.48 In our study, more than 80% of patients who received a recommendation to increase physical activity were overweight or obese, which suggests that health care providers are taking an active role in health behavior counseling.
Successful health behavior intervention includes the 5 A’s: Ask, Assess, Advise, Assist, and Arrange. The 5 A’s were developed as a behavioral intervention for smoking cessation but have been adapted to many different settings.49 The Agency for Healthcare Research and Quality recommends the 5 A’s to promote physical activity as well, particularly for adults with functional limitations.50 Health care providers should first ask patients about their current physical activity levels. The health care provider uses the patient response to assess which behaviors may need to change. Then, the health care provider can advise the patient about ways to improve physical activity and assist the patient in identifying facilitators and barriers to activity and setting goals. Lastly, health care providers can arrange for follow up in order to determine if the physical activity advice is being followed. Previous work suggests that health care providers focus on asking and advising during a clinical encounter, yet patients respond better to assessing and arranging.51 By also incorporating assess and arrange into a clinical encounter, the health care provider will likely determine the root of the behavior and allow the patient to have a say in the solving the problem.51 The 5 A’s give health care providers a clear structure or template for including physical activity recommendation into a normal office visit.
Limitations
As this is a cross-sectional study, we examined correlates of physical activity recommendation and our work is subject to temporal ambiguity. Inclusion criteria included a visit to a healthcare provider in the previous 12 months. As a consequence of the unknown margin of time between the survey and the healthcare visit, it is not possible to determine whether self-reported physical activity behavior occurred before or after the health care encounter. Another limitation of this study is the ambiguity of the health care providers’ knowledge of the functional limitations. Functional limitations may not be visually apparent and thus may require prior knowledge. Because of this, we are unable to conclude whether health care providers are targeting adults with functional limitations or if they are recommending physical activity for other reasons. We are also unable to measure potential variability of the patient-provider interactions. Our work may be subject to selection bias because our sample was limited to those who had a health care encounter within the last year, which may limit the inclusion of some adults. Barriers to seeking healthcare include high cost, lack of insurance, time constraints, distrust of the medical system, and low perceived need of healthcare52, so interpretations should consider inclusion and exclusion criteria. Lastly, functional limitations were self-reported and not performance-based. Nevertheless, self-reported difficulty in completing tasks is a validated measure and is consistent with other work in this area.53 Despite its limitations, the utilization of the NHIS ensured a large, nationally representative sample of U.S. adults and provides important information about ways to leverage health care encounters for health behavior change.
CONCLUSION
Increasing physical activity among those with functional limitations is an important public health objective. Research has shown that increasing physical activity among people with functional limitations has the potential to decrease disability status26. Our research shows that physical activity recommendations are underutilized in the primary care setting. Health care providers recommended physical activity to just over half of adults with functional limitations, which suggests a major opportunity to increase recommendations during clinical encounters. Continued efforts to leverage health care encounters for behavior change should be explored, particularly for middle aged and older adult populations with functional limitations.
Highlights.
Health care providers recommend physical activity to about one-third of all adults
Health care providers recommend physical activity to almost half of adults with functional limitations
The health care setting can be leveraged for behavior changes like increasing physical activity
Acknowledgements
K.R.Y. is supported by the National Institute on Aging of the National Institutes of Health under Award Number K01AG058754. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
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Declaration of interests
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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