Physical Inactivity In Adults Research Articles

Physical activity, sedentary behavior, and sleep across lifespan in adults across European countries: Background and design

Introduction
 Regular physical activity (PA) has benefits for health throughout the lifespan. PA benefits musculoskeletal, cardio metabolic health, and overall well-being (Kapoor et al., 2022). However, data from 2017 shows that about 55-83% of women and 47-74% of men from European countries (EU) do not meet these guidelines (Lübs et al,. 2018). Moreover, adults at the age of 40-54 (aOR: 0.65, 95% CI: 0.52-0.81) and 55-64 (aOR: 0.61, 95% CI: 0.49-0.77) are less likely to have moderate or high levels of PA in comparison with those 18-24 years of age. (Nikitara et al., 2021). Sedentary behavior (SB) including activities such as watching television, playing computer games, browsing the internet has increased (Wang et al., 2019). Canada has an established track record in the development of 24-hour movement guidelines on PA, SB, and sleep. They have previously release guidelines for all age groups. Following Canada’s lead, several jurisdictions including Australia, New Zealand, South Africa have incorporated the 24-hour movement concepts (Tremblay, 2020). There is a lack of data for 24-hour behavior guideline in the European context. There are no specific recommendations on SB and sleep. Therefore, this project will present the background, methods and design of a 24-hour movement summary of behaviors (PA, SB and sleep) in Europe.
 Methods
 We will utilize existing PA, SB and sleep data from the World Health Organization on European adults 18+. Analysis using mean, median, and 95% confidence Intervals, will be complemented by frequency distributions and histograms. These will be stratified by age and sex subgroups for a more comprehensive overview.
 Results
 The findings from this research have the potential to inform surveillance efforts, shape policies and public health strategies, improve overall well-being, and contribute to the development of evidence-based guidelines.
 Discussion/Conclusion
 Implications of this research may inform researchers on further questions to pursue, policy makers in resource allocation, and practitioners on where to focus intervention efforts.
 References
 Kapoor, G., Chauhan, P., Singh, G., Malhotra, N., & Chahal, A. (2022). Physical activity for health and fitness: Past, present and future. Journal of Lifestyle Medicine, 12(1), 9-14. https://doi.org/10.15280/jlm.2022.12.1.9
 Lübs, L., Peplies, J., Drell, C., & Bammann, K. (2018). Cross-sectional and longitudinal factors influencing physical activity of 65 to 75-year-olds: A pan European cohort study based on the survey of health, ageing and retirement in Europe (SHARE). BMC Geriatrics, 18, Article 94. https://doi.org/10.1186/s12877-018-0781-8
 Nikitara, K., Odani, S., Demenagas, N., Rachiotis, G., Symvoulakis, E. K., & Vardavas, C. (2021). Prevalence and correlates of physical inactivity in adults across 28 European countries. European Journal of Public Health, 31(4), 840-845. https://doi.org/10.1093/eurpub/ckab067
 Tremblay, M. S. (2020). Introducing 24-hour movement guidelines for the early years: A new paradigm gaining momentum. Journal of Physical Activity and Health, 17(1), 92-95. https://doi.org/10.1123/jpah.2019-0401
 Wang, N. X., Chen, J., Wagner, N., Rebello, S. A., Petrunoff, N., Owen, N., & Müller‐Riemenschneider, F. (2019). Understanding and influencing occupational sedentary behavior: A mixed-methods approach in a multiethnic Asian population. Health Education & Behavior, 47(3), 419-429. https://doi.org/10.1177/1090198119885431

A systematic literature review of workplace physical activity programs: an exploration of barriers and enabling factors

Physical inactivity continues to be a global issue with many adolescents and adults failing to meet the recommendations for daily exercise. Efforts to reduce physical inactivity in adults include the incorporation of strategies such as workplace physical activity programs, especially for sedentary workers. In this systematic literature review we examined current literature about the efficacy of workplace physical activity programs, as well as the barriers and enablers to these programs. Six EBSCO databases were searched (Academic Search Complete, CINAHL Complete, MEDLINE, APA PsycInfo, APA PsycArticles and SPORTDiscus with full text) between a ten year period (2011 to 2021). The search terms used were “physical activity”, “workplace” and “program” along with their variations. Following a systematic process, eighteen papers met the eligibility criteria. The authors analysed the findings using a narrative synthesis, in which four themes emerged from the data. These include Benefits to physical health, Benefits to mental health, Barriers to workplace physical activity and Workplace activity enablers. These findings provided several recommendations for organizations that endeavour to improve the health of workplace employees. Generalised workplace physical activity programs were viewed favourably by both employees and employers. Incorporating these practices into daily work structures may provide favourable outcomes such as increased work productivity and reduced physical inactivity.

Vulnerability to physical inactivity: evidence of content validity and response processes.

To analyze content validity evidence and response processes of a bank of items for measuring vulnerability to physical inactivity in adults. Methodological study, with 13 specialists and 46 representatives of the target population. The Content Validity Index (CVI) and binomial test were calculated; data obtained through validity based on response processes were collected through interviews. Of the 105 constructed items, 16 were excluded (CVI<0.78); 89 items showed agreement <80% in the psychometric criteria, being modified. Of the 101 items that remained (CVI>0.78), 34 were changed and 4 were deleted after evaluating the evidence of response processes. In the end, 97 items remained, with a global CVI of 0.92, organized into two dimensions: Subject (CVI=0.91) and Social (CVI=0.94). The items presented adequate parameters and evidence of validity; and can subsidize the construction of instruments that consider the subject's and social vulnerability in understanding physical inactivity.

Sedentary behavior, physical inactivity, abdominal obesity and obesity in adults and older adults: A systematic review and meta-analysis.

Sedentary behavior and physical inactivity may increase the risk of obesity. This systematic review and meta-analysis aimed to investigate: i) the prevalence/incidence of sedentary behavior and physical inactivity, ii) the association of sedentary behavior and physical inactivity with obesity, and iii) the objective and subjective measures, diagnostic criteria, and cut-off points to estimate sedentary behavior and physical inactivity in adults and older adults with obesity. We conducted a systematic review and meta-analysis in PubMed, Scielo, Lilacs, and Cochrane Library databases. A meta-analysis of a random-effects model was performed to estimate the combined prevalence of sedentary behavior and physical inactivity and their association with obesity. Twenty-three studies involving 638,000 adults and older adults were included in the systematic review. A meta-analysis was conducted with 111,851 individuals with obesity. The combined prevalence of sedentary behavior was 31% (95% CI, 23-41%), and physical inactivity was 43% (95% CI, 31-55%). Significant associations between obesity and sedentary behavior (OR 1.45, 95% CI, 1.21-1.75) and physical inactivity (OR 1.52, 95% CI, 1.23-1.87) were found. Nine studies have used objective measures to assess physical activity levels, such as accelerometers and pedometers, whereas fourteen applied subjective methods and self-reported questionnaires. As expected, we found elevated rates of sedentary behavior and physical inactivity in individuals with obesity and a positive risk association. The wide range of objective and subjective measures, methods and cut-offs resulted in great variations of physical inactivity and sedentary behavior estimates. PROSPERO (CRD42016037747).

Sociodemographic Predictors of Physical Inactivity in Montana Adults

Background: Physical activity (PA) intervention strategies that target specific priority populations can achieve greater public health impact. The aim of this research was to find sociodemographic predictors of physical inactivity (PIA) using multivariate analyses. Methods: Data for this study came from the 2020 Montana Behavioral Risk Factor Surveillance System (BRFSS). Seven different categorical sociodemographic characteristics (SDCs) were used and included age, sex, race/ethnicity, income, education, marital status, and rural/urban status. PIA was assessed from a question asking adults if they participated in any physical activities or exercises during the past month. Multiple logistic regression was employed to examine the relationship between the SDCs and PIA. Results: Bivariate analyses showed significant (ps p for trend p for trend p for trend Conclusion: This study found that several SDCs relate to PIA in adults. Health promotion specialists concerned with increasing PA should consider independently targeting lower income, less educated, and older individuals. Hispanic females may be a priority population for PIA intervention in the state of Montana.

Relationship between Health Risk Behaviors and Physical Inactivity in Montana Adults

Background: Evidence supports the interrelationships between modifiable health risk behaviors (HRBs) in adults. However, few studies have specifically examined the extent to which HRBs relate to physical inactivity (PIA). The aim of this research was to fill this aforementioned gap. Methods: Data for this study came from the 2020 Montana Behavioral Risk Factor Surveillance System (BRFSS). Six different binary (yes/no) HRB variables were created and included overweight (OVERWEIGHT), obese (OBESE), current smoking (SMOKING), heavy drinking (DRINKING), not always using seatbelt (SEATBELT), and driven after drinking too much (DDRIVING). PIA status was assessed from a question asking adults if they participated in any physical activities or exercises during the past month. Logistic regression was used to examine the relationship between each HRB and PIA. Results: Bivariate analyses indicated a significantly (ps p = .046) and indicated substantially greater odds of PIA for those considered high risk for OBESE and DDRIVING (OR = 5.98, 95% CI: 2.08 – 17.18), as compared to their OBESE counterparts who are not high risk DDRIVING (OR = 1.78, 95% CI: 1.40 – 2.27). Conclusion: This study found that several HRBs relate to PIA in adults from Montana. Health promotion specialists concerned with increasing physical activity should consider interventions that target multiple HRBs.

Physical dependence and urinary catheters both strongly relate to physical inactivity in adults during hospital stay: a cross-sectional, observational study

Purpose To determine which factors are associated with physical inactivity in hospitalized adults of all ages. Methods A cross-sectional sample of 114 adults admitted to a gastrointestinal surgery, internal medicine or cardiology hospital ward (median age 60, length of stay 13 days) were observed during one random day from 8 am to 8 pm using wireless accelerometers and behavioral mapping protocols. Factors (e.g., comorbidities, self-efficacy, independence in mobility, functional restraints) were collected from medical records, surveys, and observations. Results Patients were physically active for median(IQR) 26 (13–52.3) min and were observed to lie in bed for 67.3%, sit for 25.2%, stand for 2.5%, and walk for 5.0% of the time. Multivariable regression analysis revealed that physical inactivity was 159.87% (CI = 89.84; 255.73) higher in patients dependent in basic mobility, and 58.88% (CI = 10.08; 129.33) higher in patients with a urinary catheter (adjusted R 2 = 0.52). The fit of our multivariable regression analysis did not improve after adding hospital ward to the analysis (p > 0.05). Conclusions Independence in mobility and urine catheter presence are two important factors associated with physical inactivity in hospitalized adults of all ages, and these associations do not differ between hospital wards. Routine assessments of both factors may therefore help to identify physically inactive patients throughout the hospital. IMPLICATIONS FOR REHABILITATION Healthcare professionals should be aware that physical inactivity during hospital stay may result into functional decline. Regardless of which hospital ward patients are admitted to, once patients require assistance in basic mobility or have a urinary catheter they are at risk of physical inactivity during hospital stay. Implementing routine assessments on the independence of basic mobility and urine catheter presence may therefore assist healthcare professionals in identifying physically inactive patients before they experience functional decline.

Prevalence and correlates of physical inactivity in adults across 28 European countries.

BackgroundPhysical activity/inactivity is impacted by a plethora of intertwined factors. There are a limited number of studies on physical activity/inactivity that provide a European cross-country perspective. This study aims to present the prevalence and correlates of physical activity in adults across the 28 European Union (EU) member states.MethodsThis is a secondary dataset analysis of the Special Eurobarometer 472 data on physical activity. The cross-sectional survey was conducted during December 2–11 in 2017 across 28 European countries. The data consisted of ∼1000 respondents aged ≧15 years per country. The current analysis was restricted to adults aged 18–64 years (n = 19 645).ResultsMore than one in three (36.2%, 95% CI: 35.1–37.3) adults in the EU were physically inactive, with substantial cross-country differences noted. Women were less likely than men to be adequately or highly physically active (aOR: 0.86, 95% CI: 0.78–0.95). Similarly, adults at the age of 40–54 (aOR: 0.65, 95% CI: 0.52–0.81) and 55–64 (aOR: 0.61, 95% CI: 0.49–0.77) were less likely to have moderate or high levels of physical activity in comparison with those 18–24 years of age. Finally, high SES was positively associated with physical activity (aOR: 1.4, 95% CI: 1.16–1.69).ConclusionsA notable percentage of adults in Europe are physically inactive. Further research is needed to elucidate the factors behind the cross-country differences and identify potential policy actions that may support adopting a physically active lifestyle and decrease the inequalities related to physical activity across Europe.

Number Of Inactive Adults With Arthritis Who Can Improve Their Anxiety And Depression By Exercising

State-level estimates of the number of physically inactive adults with arthritis and other rheumatic and musculoskeletal diseases (RMDs) who can improve their anxiety and depression is currently unknown but important given that national data may not be appropriate for the conditions observed in each state. PURPOSE: Provide state-level estimates of the number of physically inactive adults in the United States with RMDs who could improve their anxiety and depression by exercising. METHODS: Utilizing (1) number-needed-to treat (NNT) data from two prior meta-analyses of randomized controlled trials addressing the effects of exercise on anxiety and depression in adults with RMDs, (2) recent age-adjusted, state-level prevalence estimates on arthritis and physical inactivity in adults with arthritis and other RMDs, and (3) state-level 2000 US Census population data, the number of physically inactive adults with RMDs who could improve their anxiety and depression by exercising was estimated. RESULTS: Across all states, the number of adults with RMDs who could improve their anxiety and depression by starting an exercise program was estimated at 2,622,907 for anxiety and 2,245,962 for depression. For anxiety, numbers ranged from 3,583 (95% CI = 2,592 - 4,863) in the District of Columbia to 201,173 (95% CI = 156,923- 254,135) in Texas. For depression, numbers ranged from 3,068 (95% CI = 2,219 - 4,164) in the District of Columbia to 172,262 (95% CI = 134,37 - 217,613) in Texas. CONCLUSIONS: These findings provide important state-level information regarding the number of physically inactive adults in the United States with RMDs who could improve their anxiety and depression by exercising. This information should be useful to both interventionists and decision-makers.

Anxiety Sensitivity and Physical Inactivity in a National Sample of Adults with a History of Myocardial Infarction.

The psychological factors underlying physical inactivity in vulnerable cardiac adult populations remain understudied. Anxiety sensitivity, a cognitive vulnerability defined as fear of the physical, cognitive, and social consequences of anxiety, may be an important modifiable determinant of physical inactivity. We examined the association of anxiety sensitivity, and each anxiety sensitivity subscale (physical, cognitive, and social concerns), with physical inactivity in adults with a history of myocardial infarction (MI). Using cross-sectional data from a nationally representative survey of adults (N = 1417) in the USA who reported a health professional diagnosis of MI, we used weighted logistic regression models to evaluate the association between anxiety sensitivity (overall, and each subscale) and physical inactivity (self-reported exercise 0-1day/week), with adjustment for age, gender, race, education, number of MIs, and depression. Overall, 34.3% reported physical inactivity. Anxiety sensitivity was associated with greater odds of physical inactivity (OR = 1.01; 95% CI=1.00, 1.02; p = .026). Of the subscales, only physical concerns were associated with physical inactivity (OR = 1.02; 95% CI=1.01, 1.04; p = .008) in the final model. High vs. low fear of shortness of breath was most consistently associated with physical inactivity (OR = 1.49; 95% CI=1.08, 2.06; p < .021). Anxiety sensitivity, generally, and fear of the physical sensations of anxiety (i.e., "fear of shortness of breath"), specifically, are important correlates of physical inactivity in adults with a history of MI. Future research should replicate these findings and experimentally test whether cardiac rehabilitation interventions that include an adjunctive component targeting reduction of anxiety sensitivity overall, or specific somatic symptoms, improve physical activity in this population.

Use of combined method, accelerometer and international physical activity questionnaire, to determinate occurence of physical inactivity in adults

Use of combined method, accelerometer and international physical activity questionnaire, to determinate occurence of physical inactivity in adults

Abstract P268: Assessing Physical Inactivity Using Accelerometers in Comparison to International Physical Activity Questionnaire

Introduction: Among the instruments to assess the level of physical activity in daily life (LPADL), questionnaires are cost advantageous and accelerometers are more accurate. Recent studies have shown poor agreement between these methods. Hypothesis: We tested the hypothesis that the combination of the questionnaire and the accelerometer is the best strategy to assess the prevalence of physical inactivity in adults. Objective: To evaluate and compare the prevalence of physical inactivity in adults, identified by the International Physical Activity Questionnaire (IPAQ), by triaxial accelerometry and by the combination of both. Methods: Two hundred and fifty-one participants older than 18 years were enrolled. After obtaining clinical, demographic and anthropometric data, participants underwent the following assessments: spirometry, cardiopulmonary exercise testing, body composition (bioimpedance), isokinetic muscle function, balance (force platform), and six-minute walk test. Participants who obtained the total score &lt; 600 MET-min/wk were considered physically inactive using IPAQ. Those that performed &lt; 150 min/wk of moderate to vigorous physical activity were considered physically inactive in the accelerometer-based method. In the combined method we considered physically inactive those who presented the IPAQ and/or the accelerometer-based criteria. Additionally, for participants who reported practicing aquatic, martial arts or cycling, only the IPAQ total score was considered. We compared the prevalence of physical inactivity and agreement between the methods. Three multivariate logistic regression models for each one of the methods were developed and predictors were mutualy compared. Results: The prevalence of physical inactivity was significantly different between the methods (IPAQ = 10%; accelerometry = 20%, and combined method = 25%). The agreement between IPAQ and accelerometry was poor (kappa = 0.152, p = 0.01). The main predictors using the IPAQ were age, fat mass, family history of cardiovascular disease, dyslipidemia, and obesity. The determinants using accelerometry were age, sex, lean body mass (LBM), family history of cardiovascular disease and smoking. The combined method selected age, sex, LBM, family history of cardiovascular disease, dyslipidemia, obesity, smoking, peak V’O2 and balance. With the exception of dyslipidemia and family history of cardiovascular disease, the combined method showed better odds ratio values. Conclusion: The combination of the IPAQ and accelerometry to determine physical inactivity was more valid when compared to the aforementioned instruments separately. The prevalence of physical inactivity and its predictors were more consistent in the combined approach in the present study. Our results suggest that the most popular methods for assessing LPADL in epidemiological studies are complementary.

Three Year Community Based Intervention for Chronic Disease Prevention in Epidemiological and Political Transition Context: Example of Tunisia

Objective: Our aim was to determine the effectiveness, feasibility, and necessary cultural adaptations of evidence-based interventions directed at tobacco use, unhealthy diet, and physical inactivity in adults and children in three different sectors: workplace, neighborhood and schools. Materials and Methods: We conducted in Sousse, Tunisia an interventional study through a quasi-experimental design (pre-post with intervention and control groups) to prevent non communicable disease risk factors. The intervention group included different settings and pre and post assessment concerned independent groups (schools with 1929 and 2170 participants, workplaces with 914 and 1098 participants and community with 940 and 1001 participants respectively at pre and post assessment). It was located in the delegation of Sousse Jawhara and Sousse Erriadh. The control group with similar settings (schools with 2074 and 2105 participants, workplaces with 861 and 1015 and community with 940 and 976 participants respectively at pre and post assessment) was located in the delegation of Msaken from the region of Sousse. Results: Tobacco use decreased among neighborhood (26.2% to 23.2%, p = 0.13) workplace (39.2% to 37.5%, p = 0.43) and schools (5.7% to 4.8%, p = 0.19) participants. In control group, it increased significantly in schools and neighborhood. Participants who consumed five fruits and vegetables daily increased significantly in all settings in intervention group (from 30% to 33.2% in schools, 47.5% to 52.1% in workplace and 39.4% to 58.4% in neighborhood). However in control group it increased only in schools and neighborhood. An improvement in physical activity practice was seen both in intervention and control group among adults participants but not in schools. Conclusion: The “Together in Health” project for the prevention of risk factors for NCD is an example of a loco-regional initiative. Such initiatives can only be beneficial with a structure organized by the government.

Factores asociados a la inactividad física en personas adultas de Barranquilla (Colombia)

Factores asociados a la inactividad física en personas adultas de Barranquilla (Colombia)

Guía básica de detección del sedentarismo y recomendaciones de actividad física en atención primaria

The detection of physical inactivity in adults, using simple and useful tools is primary objective in both public health and in clinical settings, since this risk factor is one of the major causes of non-communicable disease in the world, and is very prevalent in developed societies such as in Spain. Two validated instruments are described that are simple and useful for detecting and/or monitoring physical inactivity in adults: (i)the international physical activity questionnaire in its short version, and (ii)the pedometer to measure the number of steps taken in a day. Increased levels of physical activity are important for the primary prevention of some chronic diseases (coronary heart disease, type2 diabetes, osteoporosis, colon cancer) and to improve the quality of life. Medical personnel must determine the motivation level and the availability of patients and their families to change their behavior towards physical activity. Moderate-intensity physical activities have hardly any contraindications and the risks are few.

Population attributable fraction of type 2 diabetes due to physical inactivity in adults: a systematic review.

BackgroundPhysical inactivity is a global pandemic. The population attributable fraction (PAF) of type 2 diabetes mellitus (T2DM) associated with physical inactivity ranges from 3% to 40%. The purpose of this systematic review was to determine the best estimate of PAF for T2DM attributable to physical inactivity and absence of sport participation or exercise for men and women.MethodsWe conducted a systematic review that included a comprehensive search of MEDLINE, EMBASE, SportDiscus, and CINAHL (1946 to April 30 2013) limited by the terms adults and English. Two reviewers screened studies, extracted PAF related data and assessed the quality of the selected studies. We reconstructed 95% CIs for studies missing these data using a substitution method.ResultsOf the eight studies reporting PAF in T2DM, two studies included prospective cohort studies (3 total) and six were reviews. There were distinct variations in quality of defining and measuring physical inactivity, T2DM and adjusting for confounders. In the US, PAFs for absence of playing sport ranged from 13% (95% CI: 3, 22) in men and 29% (95% CI: 17, 41) in women. In Finland, PAFs for absence of exercise ranged from 3% (95% CI: -11, 16) in men to 7% (95% CI: -9, 20) in women.ConclusionsThe PAF of physical inactivity due to T2DM is substantial. Physical inactivity is a modifiable risk factor for T2DM. The contribution of physical inactivity to T2DM differs by sex; PAF also differs if physical inactivity is defined as the absence of ‘sport’ or absence of ‘exercise’.

Screening For Physical Inactivity In Adults

Screening For Physical Inactivity In Adults

AB0840-HPR Physical activity level and physical fitness in patients with rheumatoid arthritis

BackgroundPhysical activity is decreased in patients with rheumatoid arthritis as a consequence of joint pain, restricted mobility, fatigue, reduced muscle mass, strength and endurance. However, there is surprisingly little research...

Obesity and other modifiable factors for physical inactivity measured by accelerometer in adults with knee osteoarthritis

To investigate the public health impact of obesity and other modifiable risk factors related to physical inactivity in adults with knee osteoarthritis (OA). The frequency of inactivity as defined by the US Department of Health and Human Services was assessed from objective accelerometer monitoring of 1,089 participants (ages 49-84 years) with radiographic knee OA during the Osteoarthritis Initiative 48-month visit (2008-2010). The relationship between modifiable factors (weight status, dietary fat, fiber, smoking, depressive symptoms, knee function, knee pain, and knee confidence) with inactivity was assessed using odds ratios (ORs) and attributable fractions (AFs), controlling for descriptive factors (age, sex, race, education, lives alone, employment, frequent knee symptoms, and comorbidity). Almost half (48.9%) of participants with knee OA were inactive. Being overweight (OR 1.8, 95% confidence interval [95% CI] 1.2-2.5) or obese (OR 3.9, 95% CI 2.6-5.7), having inadequate dietary fiber intake (OR 1.6, 95% CI 1.2-2.2), severe knee dysfunction (OR 1.9, 95% CI 1.3-2.8), and severe pain (OR 1.7, 95% CI 1.1-2.5) were significantly related to inactivity, controlling for descriptive factors. Modifiable factors with significant average AFs were being overweight or obese (AF 23.8%, 95% CI 10.5-38.6%) and inadequate dietary fiber (AF 12.1%, 95% CI 0.1-24.5%), controlling for all factors. Being obese or overweight, the quality of the diet, severe pain, and severe dysfunction are significantly associated with physical inactivity in adults with knee OA. All components should be considered in designing physical activity interventions that target arthritis populations with low activity levels.

Public health impact of risk factors for physical inactivity in adults with rheumatoid arthritis

To investigate the potential public health impact of modifiable risk factors related to physical inactivity in adults with rheumatoid arthritis (RA). A cross-sectional study used baseline data from 176 adults with RA enrolled in a randomized controlled trial assessing the effectiveness of an intervention to promote physical activity. Accelerometer data were assessed for inactivity (i.e., no sustained 10-minute periods of moderate to vigorous intensity physical activity during a week's surveillance). The relationships between modifiable risk factors (motivation for physical activity, beliefs related to physical activity, obesity, pain, and mental health) and inactivity were assessed using odds ratios (ORs) and attributable fractions (AFs), controlling for descriptive factors (age, sex, race, education, disease duration, and comorbidity). More than 2 in 5 adults (42%) with RA were inactive. Factors most strongly related to inactivity were lack of strong motivation for physical activity (adjusted OR 2.85; 95% confidence interval [95% CI] 1.31, 6.20 and adjusted AF 53.1%; 95% CI 21.7, 74.6) and lack of strong beliefs related to physical activity (OR 2.47; 95% CI 1.10, 5.56 and AF 49.2%; 95% CI 7.0, 76.4). Together, these 2 factors are related to almost 65% excess inactivity in this sample. These results support the development of interventions that increase motivation for physical activity and that lead to stronger beliefs related to physical activity's benefits, and should be considered in public health initiatives to reduce the prevalence of physical inactivity in adults with RA.