Sedentary Behavior In Adults Research Articles

Validity of objective methods for measuring sedentary behaviour in older adults: a systematic review

BackgroundThe evidence showing the ill health effects of prolonged sedentary behaviour (SB) is growing. Most studies of SB in older adults have relied on self-report measures of SB. However, SB is difficult for older adults to recall and objective measures that combine accelerometry with inclinometry are now available for more accurately assessing SB. The aim of this systematic review was to assess the validity and reliability of these accelerometers for the assessment of SB in older adults.MethodsEMBASE, PubMed and EBSCOhost databases were searched for articles published up to December 13, 2017. Articles were eligible if they: a) described reliability, calibration or validation studies of SB measurement in healthy, community-dwelling individuals, b) were published in English, Portuguese or Spanish, and c) were published or in press as journal articles in peer-reviewed journals.ResultsThe review identified 15 studies in 17 papers. Of the included studies, 11 assessed the ActiGraph accelerometer. Of these, three examined reliability only, seven (in eight papers) examined validity only and one (in two papers) examined both. The strongest evidence from the studies reviewed is from studies that assessed the validity of the ActiGraph. These studies indicate that analysis of the data using 60-s epochs and a vertical magnitude cut-point < 200 cpm or using 30- or 60-s epochs with a machine learning algorithm provides the most valid estimates of SB. Non-wear algorithms of 90+ consecutive zeros is also suggested for the ActiGraph.ConclusionsFew studies have examined the reliability and validity of accelerometers for measuring SB in older adults. Studies to date suggest that the criteria researchers use for classifying an epoch as sedentary instead of as non-wear time (e.g., the non-wear algorithm used) may need to be different for older adults than for younger adults. The required number of hours and days of wear for valid estimates of SB in older adults was not clear from studies to date. More older-adult-specific validation studies of accelerometers are needed, to inform future guidelines on the appropriate criteria to use for analysis of data from different accelerometer brands.Trial registrationPROSPERO ID# CRD42017080754 registered December 12, 2017.

Correlates of Sedentary Behaviour in Adults with Intellectual Disabilities-A Systematic Review.

Individuals with intellectual disabilities (ID) are at high risk for high levels of sedentary behaviour. To inform the development of programmes to reduce sedentary behaviour, insight into the correlates is needed. Therefore, the aim of this study is to review the evidence on correlates of sedentary behaviour in adults with ID. We performed a systematic literature search in Ovid Medline, Ovid Embase, Web of Science and Google Scholar up to 19 January 2018, resulting in nine included studies that were published from 2011 to 2018. Correlates were categorized according to the ecological model. Studies predominantly focused on individual level correlates. Of those correlates studied in more than one study, having epilepsy was associated with less sedentary behaviour and inconsistent results were found for sex, genetic syndromes, weight status, physical health, mobility, level of ID, and mental health. Of the few interpersonal and environmental factors studied, only living arrangements were studied in more than one study, with inconsistent results. To date, we have limited and inconclusive evidence about correlates of sedentary behaviour in adults with ID. Only when future studies unravel correlates and determinants, across all domains of the ecological model, will the potential opportunities to improve health by reducing sedentary behaviour come within reach.

Cost-effectiveness of exercise referral schemes enhanced by self-management strategies to battle sedentary behaviour in older adults: protocol for an economic evaluation alongside the SITLESS three-armed pragmatic randomised controlled trial

IntroductionPromoting physical activity (PA) and reducing sedentary behaviour (SB) may exert beneficial effects on the older adult population, improving behavioural, functional, health and psychosocial outcomes in addition to reducing health,...

Objectively Measured Physical Activity, Sedentary Behavior, and Metabolic Syndrome in Adults: Systematic Review of Observational Evidence.

Objective measurement of physical activity (PA) and sedentary behavior (SB) associated with metabolic syndrome (MetS) has gained more attention among researchers in recent years. Although almost similar trends of results have been reported worldwide, they were not always statistically significant. This systematic review summarizes the evidence of observational studies reporting the associations between objectively measured PA, SB, and MetS in adults. Registration in PROSPERO was made (CRD42017078929). Literature search was conducted in the PubMed database for observational studies associating objectively measured PA and SB with MetS among adults. Secondary manual search was also conducted to find more related studies. A total of 44 studies were included in this systematic review. The quality score of studies obtained using National Institutes of Health Quality Assessment Tool ranged between 4 and 11. For total PA, most studies showed negative association with MetS. Similar association with MetS was reported in most studies assessing moderate-to-vigorous PA (MVPA) (total, bouts, sporadic), vigorous-intensity PA (VPA) (total, bouts), moderate-intensity PA (MPA) (total, bouts), and light-intensity PA (LIPA) bouts. However, more studies assessing LIPA total and LIPA sporadic found no significant association with MetS, with only a few studies reporting negative association. Meanwhile, all studies assessing step counts reported negative association with MetS. In contrast, MetS was positively associated in all studies investigating physical inactivity. MetS was also positively associated in most studies reporting sedentary (SED) time and bouts, while SED breaks showed no significant association with MetS. Further studies are required to ascertain the interaction and independent contribution of objectively measured PA and SB to the overall risk of MetS.

The Influence of Daily Stress on Sedentary Behavior: Group and Person (N of 1) Level Results of a 1-Year Observational Study.

The purpose of this study, which used mobile technologies to continuously collect data for 1 year, was to examine the association of psychological stress with objectively measured sedentary behavior in adults at both the group (e.g., nomothetic approach) and individual (e.g., idiographic approach) level. Data were collected in an observational study of healthy adults (n = 79) residing in the New York City metro area who were studied for 365 days from 2014 to 2015. Sedentary behavior was objectively measured via accelerometry. A smartphone-based electronic diary was used to assess level of stress ("Overall, how stressful was your day?" 0-10 scale) and sources of stress. The end-of-day stress rating was not associated with total sedentary time (B = -1.34, p = .767) at the group level. When specific sources of stress were evaluated at the group level, argument-related stress was associated with increased sedentariness, whereas running late- and work-related stress were associated with decreased sedentariness. There was a substantial degree of interindividual variability in the relationship of stress with sedentary behavior. Both the level and sources of stress were associated with increased sedentariness for some, decreased sedentariness for others, and had no effect for many (within-person variance p < .001). These findings suggest that the influence of stress on sedentary behavior varies by source of stress and from person to person. A precision medicine approach may be warranted to target reductions in sedentary time, although further studies are needed to confirm the observed findings in light of study limitations including a small sample size and enrollment of participants from a single, urban metropolitan area.

The relationship between cell phone use, physical activity, and sedentary behavior in adults aged 18–80

PurposeTo assess situational cell phone use (i.e., sitting, standing, or physically active) and the relationship between cell phone use, physical activity, and sedentary behavior in adults 18–80 years old. MethodsAn on-line survey was completed by adults (N = 423; n = 256 females, 40 ± 16 years old) which assessed situational and total cell phone use, physical activity, and sedentary behavior. ResultsMean cell phone use was 239 ± 224 min/day and 81% of respondents reported typically sitting when using the device. Linear regression found cell use was positively associated with sedentary behavior and the physical activity by sedentary behavior interaction term (i.e., assessment of the “active couch potato” phenomenon), negatively associated with age, and not related to physical activity or sex. ANCOVA revealed that high cell users participated in significantly more sedentary time (521 ± 23 min/d sitting) than low users (442 ± 17 min/d sitting) with no differences between high and moderate users (471 ± 21 min/d sitting) or between low and moderate users. ConclusionCell phone use was positively associated with sedentary behavior and the physical activity by sedentary behavior interaction term but not physical activity. Implications are discussed in the context of behavioral economics.

“My Best Memory Is When I Was Done with It”: PE Memories Are Associated with Adult Sedentary Behavior

ABSTRACT The transition from childhood to adolescence is marked by a dramatic decrease in physical activity (PA). Physical education (PE) experiences may contribute to this change but remain underresearched. Using a retrospective survey, we examined whether memories of enjoyment or nonenjoyment of PE relate to present-day (adult) attitudes, intentions, PA, and sedentary behavior. An online questionnaire was completed by 1028 American respondents (18–45 yr). The participants rated their retrospective enjoyment of PE, present attitudes and intentions for PA, as well as present PA and sedentary behavior. In addition, participants responded with their best and worst PE memories in an open-ended fashion. Retrospective enjoyment of PE was associated with present-day attitude (r = 0.37, P &lt; 0.00001) and intention (r = 0.23, P &lt; 0.00001) for PA, as well as negatively associated with sedentary time on the weekend (r = −0.14, P &lt; 0.00001). The best memories related to enjoyment of the activities in class (56%), experiencing feelings of physical competence (37%), and, interestingly, 7% were not having to take PE class any longer or skipping the class. Of the worst memories, 34% related to embarrassment, 18% to lack of enjoyment, 17% to bullying, 14% to social–physique anxiety, 16% to injury, and 2% to being punished by the PE teacher. Childhood memories of PE are associated with PA attitude, intention, and sedentary behavior in adulthood. Intensified research efforts should be directed toward understanding the factors and processes that lead to the formation of memories of PE.

Physical activity and sedentary behaviour of adults with type 2 diabetes: a systematic review

AbstractRegular physical activity and low levels of prolonged sedentary behaviour are important lifestyle recommendations for the management of type 2 diabetes. This systematic review collates and summarises published research reporting on physical activity and sedentary behaviour of adults with type 2 diabetes.Systematic searches with three databases were conducted (Medline; PubMed; SportDiscus). Intervention studies were excluded. Studies were eligible if they: (i) were published in English; (ii) were published between 1997 and January 2017; and (iii) objectively and/or subjectively measured physical activity and/or sedentary behaviour in adults with type 2 diabetes. Two reviewers independently cross‐checked studies, conducted a quality assessment and extracted data. Data were analysed using descriptive statistics and a narrative synthesis.The search identified 349 studies; 29 eligible studies were included. All studies measured physical activity and 15 studies measured sedentary behaviour. Twenty studies used subjective methods, six used objective methods and three used both subjective and objective methods. Most studies report low levels of physical activity and high levels of sedentary behaviour in adults with type 2 diabetes and note adults with type 2 diabetes to be less active and more sedentary than those without type 2 diabetes.Regardless of measurement method or study location, adults with type 2 diabetes report low levels of physical activity and high levels of sedentary behaviour and are less active and more sedentary than those without type 2 diabetes. There is a need for large‐scale interventions which support active lifestyles to be implemented into diabetes care. Copyright © 2018 John Wiley &amp; Sons.

The Relationship between Cell Phone Use, Physical Activity, and Sedentary Behavior in Adults Aged 18-80

The Relationship between Cell Phone Use, Physical Activity, and Sedentary Behavior in Adults Aged 18-80

Reliability, minimal detectable change and responsiveness to change: Indicators to select the best method to measure sedentary behaviour in older adults in different study designs.

IntroductionProlonged sedentary behaviour (SB) is associated with poor health. It is unclear which SB measure is most appropriate for interventions and population surveillance to measure and interpret change in behaviour in older adults. The aims of this study: to examine the relative and absolute reliability, Minimal Detectable Change (MDC) and responsiveness to change of subjective and objective methods of measuring SB in older adults and give recommendations of use for different study designs.MethodsSB of 18 older adults (aged 71 (IQR 7) years) was assessed using a systematic set of six subjective tools, derived from the TAxonomy of Self report Sedentary behaviour Tools (TASST), and one objective tool (activPAL3c), over 14 days. Relative reliability (Intra Class Correlation coefficients-ICC), absolute reliability (SEM), MDC, and the relative responsiveness (Cohen’s d effect size (ES) and Guyatt’s Responsiveness coefficient (GR)) were calculated for each of the different tools and ranked for different study designs.ResultsICC ranged from 0.414 to 0.946, SEM from 36.03 to 137.01 min, MDC from 1.66 to 8.42 hours, ES from 0.017 to 0.259 and GR from 0.024 to 0.485. Objective average day per week measurement ranked as most responsive in a clinical practice setting, whereas a one day measurement ranked highest in quasi-experimental, longitudinal and controlled trial study designs. TV viewing–Previous Week Recall (PWR) ranked as most responsive subjective measure in all study designs.ConclusionsThe reliability, Minimal Detectable Change and responsiveness to change of subjective and objective methods of measuring SB is context dependent. Although TV viewing-PWR is the more reliable and responsive subjective method in most situations, it may have limitations as a reliable measure of total SB. Results of this study can be used to guide choice of tools for detecting change in sedentary behaviour in older adults in the contexts of population surveillance, intervention evaluation and individual care.

Isotemporal Substitution of Sedentary Behavior and Physical Activity on Function.

This study aimed to examine the association of substituting SB time with LPA and MVPA on physical function in older adults. Ninety-one older adults (mean age, 70.7 ± 10.2 yr) wore a hip-mounted accelerometer to measure SB, LPA, and MVPA time. Measures of physical function included a 400-m walk test (400W), the usual gait speed (UGS), the five times sit-to-stand (5xSTS) test, and the short physical performance battery (SPPB). Isotemporal substitution regression modeling was performed to assess the relationship of replacing the amount of time spent in one activity for another. Replacing 30 min·d of SB with LPA was associated with a significant improvement in 400W (P = 0.0497), whereas MVPA resulted in a significant improvement (P < 0.01) in 400W, UGS, 5xSTS, and SPPB. Replacing 60 min·d of SB with 10 min·d of MVPA and 50 min·d of LPA was associated with significant improvements in the 400W, UGS, and 5xSTS (P < 0.05). Meanwhile, as little as 5 min·d of MVPA and 55 min·d of LPA were linked to a 78% increased odds of scoring with good function in the SPPB (P = 0.0247). Replacing SB with LPA was linked to a significant improvement in the 400W, but not the other brief functional measures. Mixed doses of LPA and MVPA may add flexibility to interventions targeting reductions of SB in older adults for clinically relevant improvements in physical function.

Sex differences in the association of psychological status with measures of physical activity and sedentary behaviour in adults with type 2 diabetes.

To assess the association of psychological variables on leisure-time physical activity and sedentary time in men and women with type 2 diabetes mellitus (T2D). In this cross-sectional study, we evaluated 163 patients with T2D, consecutively recruited at the Diabetes Centre of the Verona General Hospital. Scores on depression and anxiety symptoms, psychosocial factors (including self-efficacy, perceived interference, perceived severity, social support, misguided support behaviour, spouse's positive behaviour), physical activity and time spent sitting were ascertained using questionnaires responses to the Beck Depression Inventory-II, Beck Anxiety Inventory, Multidimensional Diabetes Questionnaire, International Physical Activity Questionnaire. Physical activity was significantly associated with higher social support in women and with increased self-efficacy in men. Sedentary time was significantly associated with higher perceived interference, anxiety and depressive symptoms, and with reduced diabetes self-efficacy in women, while it was associated solely with anxiety in men. Depressive symptoms and self-efficacy in women and anxiety symptoms in men were independent predictors of sedentary time when entered in a multivariable regression model also including age, BMI, haemoglobin A1c, diabetes duration, perceived interference and self-efficacy as covariates. Lower self-efficacy and higher symptoms of depression were closely associated with increased sedentary time in women, but not in men, with T2D. It is possible that individualized behavioural interventions designed to reduce depressive symptoms and to improve diabetes self-efficacy would ultimately reduce sedentary behaviours, particularly in women with T2D.

Apps and wearables for monitoring physical activity and sedentary behaviour: A qualitative systematic review protocol on barriers and facilitators.

ObjectiveMonitoring of physical activity and sedentary behaviours by mobile phone applications (apps) and wearable technology (wearables) may improve these health behaviours. This systematic review aims to synthesise the qualitative literature on the barriers and facilitators of using apps and wearables for monitoring physical activity and/or sedentary behaviour in adults.MethodsThis review protocol is registered in PROSPERO (CRD42017070194). Scientific databases including CINAHL Complete, MEDLINE, PsycINFO, SPORTDiscus, Cochrane Library and Scopus will be searched for relevant studies published from 1 January 2012 to the date the searches are conducted. Studies will be included if they incorporated adults who used an app or wearable for monitoring physical activity and/or sedentary behaviour; explored the barriers and/or facilitators of using an app and/or wearable; and were published in English. Following duplicate screening of titles and abstracts, full texts of potentially eligible papers will be screened to identify studies using qualitative approaches to explore barriers and facilitators of using apps and/or wearables for monitoring physical activity and/or sedentary behaviour. Discrepancies will be resolved through consensus or by consulting a third screener. Relevant excerpts (quotes and text) from the included papers will be extracted and analysed thematically. The Critical Appraisal Skills Programme Qualitative Research Checklist will be used to appraise included studies.ConclusionThe results of this work will be useful for those intending to monitor physical activity and/or sedentary behaviour using these technologies.

A population-based, cross-sectional study of the prevalence and correlates of sedentary behaviour of adults with intellectual disabilities.

High levels of sedentary behaviour have a negative impact on health and well-being. There is limited evidence on the prevalence and correlates of sedentary behaviour of adults with intellectual disabilities (ID). A population-based sample of adults with ID were invited to take part in a comprehensive health check programme. Demographic and health data were collected during a structured interview and physical examination. Screen time was used as a proxy measure of sedentary behaviour. Bivariate and multivariate statistical modelling examined correlates of screen time. Fifty per cent of the 725 participants reported four or more hours of screen time per day. Male gender, higher levels of intellectual ability, mobility problems, obesity, not having hearing impairment and not having epilepsy were all significantly associated with higher screen time in the final multivariate model (R2 =0.16; Hosmer-Lemeshow goodness of fit statistic P=0.36). This is the first study to publish population-based data on the prevalence and correlates of sedentary behaviour in adults with ID. Compared with adults who do not have ID, adults with ID have higher levels, and different correlates, of sedentary behaviour. A better understanding of the social context of sedentary behaviour will inform the design of effective behaviour change programmes for adults with ID.

Low Levels of Physical Activity and Sedentary Behavior in Adults with Intellectual Disabilities.

Adults with intellectual disabilities (ID) are more likely to lead sedentary lifestyles and have low levels of physical activity (LLPA). The present study investigated the prevalence of reported LLPA and time spent watching TV in adults with ID and identified the associated factors for these behaviors. The proxy informants of 1618 adults with ID completed the surveys regarding their health behaviors. Multiple logistic regressions were employed for LLPA and multiple linear regressions for time spent watching TV. About 60% of adults with ID had LLPA and average time spent watching TV was 3.4 h a day. Some characteristics and health and function variables were identified as associated factors. While engaging in community activities and involvement in Special Olympics were inversely associated with LLPA, they were not associated with time spent watching TV. Attending day/educational programs or being employed were associated with spending less time watching TV. Findings highlight differential factors associated with LLPA versus TV-watching behavior in adults with ID. Hence, a key strategy aimed at increasing physical activity includes promoting participation in social and community activities, while targeted activities for reducing sedentary behavior might focus on providing day programs or employment opportunities for adults with ID.

Correlates of objectively measured sedentary time in adults with intellectual disabilities.

Sedentary behaviour is an independent risk factor for adverse health conditions. Adults with intellectual disabilities spend a high proportion of their day engaged in sedentary behaviour, however, there is limited evidence on potential correlates of objectively measured sedentary behaviour in this population group. In Glasgow, UK from July to September 2017, a secondary analysis of pooled baseline accelerometer data from two randomised controlled trials of lifestyle behaviour change programmes was conducted. Backwards linear regression was used to investigate the associations between demographic, biological, and environmental correlates and objective measure of sedentary behaviour (percentage of time spent sedentary). One-hundred and forty-three participants provided valid accelerometer data. Mean percentage time spent sedentary (adjusted for wear time) was 72.9% [Standard Deviation (SD) = 8.7] per day. In the final model, physical and mental health problems were significantly (p < 0.05) associated with increased percentage time spent sedentary. This is the first study to provide evidence on multi-level, demographic, biological, and environmental correlates of objectively measured sedentary behaviour in adults with intellectual disabilities. To inform the development of interventions to modify sedentary behaviours in adults with intellectual disabilities, further research is required including a wide range of socio-ecological correlates.

Cross-Sectional Associations between Home Environmental Factors and Domain-Specific Sedentary Behaviors in Adults: The Moderating Role of Socio-Demographic Variables and BMI.

Despite the negative health effects of too much sitting, the majority of adults are too sedentary. To develop effective interventions, insight is needed into home environmental correlates of adults’ sedentary behaviors, and into the susceptibility of population subgroups to these home environmental cues. In total, 559 Flemish adults reported socio-demographics, weight and height, home environmental factors and domain-specific sedentary behaviors. Generalized linear modeling was conducted to examine main associations between home environmental factors and domain-specific sedentary behaviors, and to test the moderating role of socio-demographics and BMI on these associations. In case of significant interactions, stratified analyses were performed. Results showed that, among those who did use a computer/laptop during the last week, a one-unit increase in the number of computers or laptops was associated with 17% (OR = 1.17; 95% CI = 1.02, 1.34) and 24% (OR = 1.24; 95% CI = 1.08, 1.43) more minutes computer time per day, respectively. The proximity of the remote controller (p < 0.001) and the number of televisions (p = 0.03) were positively associated with television time, and the number of motorized vehicles (95% CI = 0.001, 0.12) was positively associated with the odds of participation in transport-related sitting time. The latter two associations were moderated by BMI, with significant positive associations limited to those not overweight. To conclude, home environmental factors were associated with domain-specific sedentary behaviors, especially in healthy weight adults. If confirmed by longitudinal studies, public health professionals should encourage adults to limit the number of indoor entertainment devices and motorized vehicles.

Cross-Sectional Relationships of Physical Activity and Sedentary Behavior With Cognitive Function in Older Adults With Probable Mild Cognitive Impairment.

Mild cognitive impairment (MCI) represents a transition between normal cognitive aging and dementia and may represent a critical time frame for promoting cognitive health through behavioral strategies. Current evidence suggests that physical activity (PA) and sedentary behavior are important for cognition. However, it is unclear whether there are differences in PA and sedentary behavior between people with probable MCI and people without MCI or whether the relationships of PA and sedentary behavior with cognitive function differ by MCI status. The aims of this study were to examine differences in PA and sedentary behavior between people with probable MCI and people without MCI and whether associations of PA and sedentary behavior with cognitive function differed by MCI status. This was a cross-sectional study. Physical activity and sedentary behavior in adults dwelling in the community (N = 151; at least 55 years old) were measured using a wrist-worn actigraphy unit. The Montreal Cognitive Assessment was used to categorize participants with probable MCI (scores of <26/30) and participants without MCI (scores of ≥26/30). Cognitive function was indexed using the Alzheimer Disease Assessment Scale-Cognitive-Plus (ADAS-Cog Plus). Physical activity and sedentary behavior were compared based on probable MCI status, and relationships of ADAS-Cog Plus with PA and sedentary behavior were examined by probable MCI status. Participants with probable MCI (n = 82) had lower PA and higher sedentary behavior than participants without MCI (n = 69). Higher PA and lower sedentary behavior were associated with better ADAS-Cog Plus performance in participants without MCI (β = -.022 and β = .012, respectively) but not in participants with probable MCI (β < .001 for both). This study was cross-sectional and therefore could not establish whether conversion to MCI attenuated the relationships of PA and sedentary behavior with cognitive function. The diagnosis of MCI was not confirmed with a physician; therefore, this study could not conclude how many of the participants categorized as having probable MCI would actually have been diagnosed with MCI by a physician. Participants with probable MCI were less active and more sedentary. The relationships of these behaviors with cognitive function differed by MCI status; associations were found only in participants without MCI.

Correlates of sedentary behaviour in adults: a systematic review.

The objective of this study was to systematically review evidence to identify intrapersonal, social environmental, physical environmental and policy correlates of sedentary behaviour (SB) among adults. Six databases were searched to identify studies that reported on intrapersonal, social, physical environmental and/or policy correlates of SB across domains (i.e. occupational, leisure and transportation) in adults (mean≥18years old). Subgroup differences (sex, age, disease status, publication status and date, weekdays vs. weekend) were examined. Risk of bias was assessed, and a qualitative synthesis completed. CRD42014009814 RESULTS: Searching identified 22,779 articles; 257 were used in the analysis. Most studies used self-reported SB and were cross-sectional. The most studied domain of SB and correlate was leisure and intrapersonal, respectively. Consistent evidence found positive relationships between full-time employment and higher transportation and lower leisure SB; higher income/socioeconomic status and greater transportation and occupation SB; living in more urban areas and greater sitting time and total SB; ownership of televisions and greater leisure SB; and, active workstations and lower occupational SB. The review identifies the need for longitudinal studies, as well as further research on factors in the physical, social and policy environments. The review also recognizes the need to standardize methodology for collecting, defining and reporting SB and correlates.

The Relationship between Cell Phone Use, Physical Activity, and Sedentary Behavior In Adults above College-age

While there is evidence of a positive relationship between cellular telephone (cell phone) use and sedentary behavior, but not physical activity in college-aged individuals (18-29 years old), these relationships have not been tested in individuals older than college age (≥ 30 years old). This research is warranted as cell phone use is inversely associated with age; thus these relationships may be different in older individuals. PURPOSE: To assess the relationship between cell phone use, physical activity and sedentary behavior in adults older than college age (≥ 30 years old). METHODS: Adults aged 30-63 years (N = 69, 51 ± 8 years old) wore physical activity monitors (accelerometers) for seven days and completed surveys assessing daily cell phone use, physical activity, and sedentary behavior. Pearson’s correlation analyses were performed to assess relationships between cell phone use and age, physical activity, and sedentary behavior. Participants were then split into tertiles based on total cell phone use (low, moderate, and high) and a MANCOVA (sex and age as covariates) was used to determine if there were group differences in physical activity and sedentary behavior. RESULTS: Cell phone use ( = 125.2 ± 146.8 minutes per day) was inversely associated with age (r = - 0.3, p = 0.005). Cell phone use was not associated with objectively- or subjectively-measured physical activity or sedentary behavior (r ≤ 0.1, p ≥ 0.3 for all). There were also no significant differences in physical activity or sedentary behavior between the low, moderate, and high cell phone user groups (F ≤ 2.0, p ≥ 0.12 for all). CONCLUSION: Consistent with previous research, there was an inverse relationship between cell phone use and age. Unlike what has been reported in college-aged individuals, cell phone use was not associated with sedentary behavior in adults older than college age. Because younger individuals are “digital natives” who have been raised with near-constant access to cell phones this may be their sedentary activity of choice. Conversely, adults who are older may prefer other, more traditional forms of sedentary activities such as watching television and using a desktop computer. This may explain the lack of a relationship between cell phone use and sedentary behavior in adults beyond college age.