Associations of Maternal and Paternal Parenting Practices With Children's Fruit and Vegetable Intake and Physical Activity: Preliminary Findings From an Ecological Momentary Study.

BACKGROUND: Childhood obesity prevention interventions routinely focus on changing maternal parenting practices. Failure to assess how fathers' weight-related (ie, diet and physical activity) parenting practices contribute to children's energy balance behaviors limits the understanding of their paternal role within the family. Examining the independent and interacting effects of fathers' and mothers' weight-related parenting practices on children's diet and physical activity addresses this important research gap. OBJECTIVE: This study used ecological momentary assessment (EMA) to investigate the within-subject and between-subject independent and interactive effects of maternal and paternal encouragement to eat and preparation of fruits and vegetables (F/V) and encouragement of and taking their child to be physically active on their child's self-reported F/V intake and physical activity engagement. METHODS: Participants included mother-father-child triads (n=22 triads, n=205-213 prompts/occasions) in the Mothers and Their Children's Health Study and the University of Southern California Fathers Study. Simultaneously, mothers and fathers (agesmean 44.2 years, SD 5.6, and 45.2 years, SD 8.1, respectively), and their children (agemean 12.0 years, SD 0.7) completed up to 8 randomly prompted EMA surveys per day on separate smartphones for 7 days. At each prompt, mothers and fathers each reported whether they did the following in the past 2 hours: (1) encouraged their child to eat F/V, (2) prepared F/V for their child, (3) encouraged their child to be physically active, or (4) took their child to be physically active. Children self-reported whether they consumed F/V or were physically active in the past 2 hours. RESULTS: Results from Bayesian multilevel logistic models (all in log-odd units) indicated that at the within-subject level, greater maternal encouragement (ß=2.28, 95% CI 0.08 to 5.68) of eating F/V was associated with greater child report of eating F/V, but paternal encouragement (ß=1.50, 95% CI -0.83 to 4.52) showed no effects above and beyond maternal encouragement. Additionally, greater than usual paternal encouragement (ß=2.28, 95% CI 0.08 to 5.54) and maternal encouragement (ß=2.94, 95% CI 0.36 to 6.69) of physical activity had significant independent effects and were associated with greater child report of physical activity. No other within-subject or between-subject associations nor interactive effects were significant. CONCLUSIONS: Findings from this study suggest that fathers play a role in supporting their children's physical activity but not their intake of F/V. Future EMA studies should recruit larger samples to evaluate the independent and interacting roles of mothers' and fathers' weight-related parenting practices on child's obesogenic behaviors.

Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework.

BACKGROUND: The integration of body-worn sensors with mobile devices presents a tremendous opportunity to improve just-in-time behavioral interventions by enhancing bidirectional communication between investigators and their participants. This approach can be used to deliver supportive feedback at critical moments to optimize the attainment of health behavior goals. OBJECTIVE: The goals of this systematic review were to summarize data on the content characteristics of feedback messaging used in diet and physical activity (PA) interventions and to develop a practical framework for designing just-in-time feedback for behavioral interventions. METHODS: Interventions that included just-in-time feedback on PA, sedentary behavior, or dietary intake were eligible for inclusion. Feedback content and efficacy data were synthesized descriptively. RESULTS: The review included 31 studies (15/31, 48%, targeting PA or sedentary behavior only; 13/31, 42%, targeting diet and PA; and 3/31, 10%, targeting diet only). All studies used just-in-time feedback, 30 (97%, 30/31) used personalized feedback, and 24 (78%, 24/31) used goal-oriented feedback, but only 5 (16%, 5/31) used actionable feedback. Of the 9 studies that tested the efficacy of providing feedback to promote behavior change, 4 reported significant improvements in health behavior. In 3 of these 4 studies, feedback was continuously available, goal-oriented, or actionable. CONCLUSIONS: Feedback that was continuously available, personalized, and actionable relative to a known behavioral objective was prominent in intervention studies with significant behavior change outcomes. Future research should determine whether all or some of these characteristics are needed to optimize the effect of feedback in just-in-time interventions.

REAL-TIME SUBJECTIVE ASSESSMENT OF PSYCHOLOGICAL STRESS: ASSOCIATIONS WITH OBJECTIVELY-MEASURED PHYSICAL ACTIVITY LEVELS.

Psychosocial stress may be a factor in the link between physical activity and obesity. This study examines how the daily experience of psychosocial stress influences physical activity levels and weight status in adults. This study reports temporally ordered relationships between sedentary, light, and moderate-to-vigorous physical activity levels and real-time reports of subjective psychosocial stress levels. Adults (n=105) wore an accelerometer and participated in an ecological momentary assessment (EMA) of stress by answering prompts on a mobile phone several times per day over 4 days. Subjective stress was negatively related to sedentary activity in the minutes immediately preceding and immediately following an EMA prompt. Light activity was positively associated with a subsequent EMA report of higher stress, but there were no observed associations between stress and moderate-to-vigorous activity. Real-time stress reports and accelerometer readings for the same 4-day period showed no association. Nor were there associations between real-time stress reports and weight status.

Differences in Mothers' and Children's Dietary Intake during Physical and Sedentary Activities: An Ecological Momentary Assessment Study.

BACKGROUND: Physical activity and diet are major modifiable health behaviors contributing to obesity risk. Although patterns of these behaviors tend to cluster within individuals and within family units, it is unknown to what extent healthy and unhealthy dietary intake might differentially accompany sedentary and physical activities in mothers compared with their children. OBJECTIVE: Our goal was to examine differences in co-occurrence of activities and dietary intake between mothers and children, as measured in real time using ecological momentary assessment. PARTICIPANTS/SETTING: This study examined cross-sectional data from 175 mothers and their children aged 8 to 12 years. MAIN OUTCOME MEASURES: Participants completed 8 days of ecological momentary assessment surveys, reporting on whether the following activities had occurred during the past 2 hours: sedentary screen activity, physical activity, and intake of healthy (ie, fruits and vegetables) and unhealthy (ie, fast food, chips/fries, pastries/sweets, and soda/energy drinks) foods. STATISTICAL ANALYSES PERFORMED: Multilevel logistic regression models estimated the adjusted odds of consuming healthy and unhealthy dietary intake for mothers and children during time periods reporting physical activity (vs no physical activity) or sedentary screen activity (vs no sedentary screen activity). Post hoc tests compared estimates for mothers vs children. RESULTS: Children were significantly more likely than their mothers to consume unhealthy foods during 2-hour windows that included physical activity (odds ratio [children] 1.85, 95% CI 1.47 to 2.31; odds ratio [mothers] 0.83, 95% CI 0.58 to 1.20; Pdiff <0.05), but not sedentary screen activity (Pdiff=0.067). In addition, children and their mothers did not differ in their likelihood of consuming healthy foods during 2-hour windows with sedentary screen activity (Pdiff =0.497) or physical activity (Pdiff =0.170). CONCLUSIONS: Results indicate that the consumption of unhealthy foods may be more likely to co-occur within a 2-hour window including physical activity in children as compared to their mothers. Future research should examine reasons for this difference, and potential areas for intervention.

Ecological Momentary Assessment in Physical Activity Research.

Theories explaining why individuals participate in physical activity often do not take into account within-person variation or dynamic patterns of change. Time-intensive methods such as Ecological Momentary Assessment are more conducive to capturing time- and spatially-varying explanatory factors and intraindividual fluctuations than traditional methods and thus may yield new insights into the prediction and modeling of physical activity behavior.

Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity.

BACKGROUND: Objective physical activity monitors (eg, accelerometers) have high rates of nonwear and do not provide contextual information about behavior. OBJECTIVE: This study tested performance and value of a mobile phone app that combined objective and real-time self-report methods to measure physical activity using sensor-informed context-sensitive ecological momentary assessment (CS-EMA). METHODS: The app was programmed to prompt CS-EMA surveys immediately after 3 types of events detected by the mobile phone's built-in motion sensor: (1) Activity (ie, mobile phone movement), (2) No-Activity (ie, mobile phone nonmovement), and (3) No-Data (ie, mobile phone or app powered off). In addition, the app triggered random (ie, signal-contingent) ecological momentary assessment (R-EMA) prompts (up to 7 per day). A sample of 39 ethnically diverse high school students in the United States (aged 14-18, 54% female) tested the app over 14 continuous days during nonschool time. Both CS-EMA and R-EMA prompts assessed activity type (eg, reading or doing homework, eating or drinking, sports or exercising) and contextual characteristics of the activity (eg, location, social company, purpose). Activity was also measured with a waist-worn Actigraph accelerometer. RESULTS: The average CS-EMA + R-EMA prompt compliance and survey completion rates were 80.5% and 98.5%, respectively. More moderate-to-vigorous intensity physical activity was recorded by the waist-worn accelerometer in the 30 minutes before CS-EMA activity prompts (M=5.84 minutes) than CS-EMA No-Activity (M=1.11 minutes) and CS-EMA No-Data (M=0.76 minute) prompts (P's<.001). Participants were almost 5 times as likely to report going somewhere (ie, active or motorized transit) in the 30 minutes before CS-EMA Activity than R-EMA prompts (odds ratio=4.91, 95% confidence interval=2.16-11.12). CONCLUSIONS: Mobile phone apps using motion sensor-informed CS-EMA are acceptable among high school students and may be used to augment objective physical activity data collected from traditional waist-worn accelerometers.

Momentary assessment of contextual influences on affective response during physical activity.

OBJECTIVE: Higher positive and lower negative affective response during physical activity may reinforce motivation to engage in future activity. However, affective response during physical activity is typically examined under controlled laboratory conditions. This research used ecological momentary assessment (EMA) to examine social and physical contextual influences on momentary affective response during physical activity in naturalistic settings. METHOD: Participants included 116 adults (mean age = 40.3 years, 73% female) who completed 8 randomly prompted EMA surveys per day for 4 days across 3 semiannual waves. EMA surveys measured current activity level, social context, and physical context. Participants also rated their current positive and negative affect. Multilevel models assessed whether momentary physical activity level moderated differences in affective response across contexts controlling for day of the week, time of day, and activity intensity (measured by accelerometer). RESULTS: The Activity Level × Alone interaction was significant for predicting positive affect (ß = -0.302, SE = 0.133, p = .024). Greater positive affect during physical activity was reported when with other people (vs. alone). The Activity Level × Outdoors interaction was significant for predicting negative affect (ß = -0.206, SE = 0.097, p = .034). Lower negative affect during physical activity was reported outdoors (vs. indoors). CONCLUSIONS: Being with other people may enhance positive affective response during physical activity, and being outdoors may dampen negative affective response during physical activity.

Development of a smartphone application to measure physical activity using sensor-assisted self-report.

INTRODUCTION: Despite the known advantages of objective physical activity monitors (e.g., accelerometers), these devices have high rates of non-wear, which leads to missing data. Objective activity monitors are also unable to capture valuable contextual information about behavior. Adolescents recruited into physical activity surveillance and intervention studies will increasingly have smartphones, which are miniature computers with built-in motion sensors. METHODS: This paper describes the design and development of a smartphone application ("app") called Mobile Teen that combines objective and self-report assessment strategies through (1) sensor-informed context-sensitive ecological momentary assessment (CS-EMA) and (2) sensor-assisted end-of-day recall. RESULTS: The Mobile Teen app uses the mobile phone's built-in motion sensor to automatically detect likely bouts of phone non-wear, sedentary behavior, and physical activity. The app then uses transitions between these inferred states to trigger CS-EMA self-report surveys measuring the type, purpose, and context of activity in real-time. The end of the day recall component of the Mobile Teen app allows users to interactively review and label their own physical activity data each evening using visual cues from automatically detected major activity transitions from the phone's built-in motion sensors. Major activity transitions are identified by the app, which cues the user to label that "chunk," or period, of time using activity categories. CONCLUSION: Sensor-driven CS-EMA and end-of-day recall smartphone apps can be used to augment physical activity data collected by objective activity monitors, filling in gaps during non-wear bouts and providing additional real-time data on environmental, social, and emotional correlates of behavior. Smartphone apps such as these have potential for affordable deployment in large-scale epidemiological and intervention studies.

Neighborhood park use by children: use of accelerometry and global positioning systems.

BACKGROUND: Although having a greater number of neighborhood parks may be associated with greater overall physical activity in children, information is lacking about the extent to which children actually use parks for physical activity. PURPOSE: This study combined accelerometer, GPS, GIS, and self-report methods to examine neighborhood park availability, perceived proximity, and use for physical activity in children. METHODS: Low- to middle-income children (aged 8-14 years) (n=135) from suburban communities in Southern California wore an Actigraph accelerometer and GlobalSat BT-335 GPS device across 7 days to measure physical activity and park use, respectively. ArcGIS identified parks within a 500-m residential buffer of children's homes. Parents reported perceptions of neighborhood park proximity through the Neighborhood Environment Walkability Survey (NEWS). Data were collected from March 2009 to December 2010, and analyzed in 2013. RESULTS: Fifty-four percent of families lived within 500 m of a park. Of these children, GPS data indicated that 16% used it more than 15 minutes and an additional 11% of children used it between 5 and 15 minutes during the 7-day study period. The odds of extended park use (>15 minutes) increased fourfold when the distance between home and the nearest neighborhood park decreased by 100 m. Additionally, the odds of any park use (>5 minutes) doubled when moving from the 25th to the 75th percentile for park greenness/vegetation density. CONCLUSIONS: Although children's use of neighborhood parks was generally low, it increased substantially when parks were closer to children's homes and had greater vegetation density.

Understanding the physical and social contexts of children's nonschool sedentary behavior: an ecological momentary assessment study.

BACKGROUND: Research on children's sedentary behavior has relied on recall-based self-report or accelerometer methods, which do not assess the context of such behavior. PURPOSE: This study used ecological momentary assessment (EMA) to determine where and with whom children's sedentary behavior occurs during their nonschool time. METHODS: Children (N = 120) ages 9-13 years (51% male, 33% Hispanic) wore mobile phones that prompted surveys (20 total) for 4 days. Surveys measured current activity (eg, exercise, watching TV), physical location (eg, home, outdoors), and social company (eg, family, friends). RESULTS: Children engaged in a greater percentage of leisure-oriented (eg, watching TV) than productive (eg, reading, doing homework) sedentary behavior (70% vs 30%, respectively). Most of children's sedentary activity occurred at home (85%). Children's sedentary activity took place most often with family members (58%). Differences in physical context of sedentary behavior were found for older vs. younger children (P < .05). Type of sedentary behavior differed by gender, racial/ethnic group, and social context (P < .05). CONCLUSION: Children may prefer or have greater opportunities to be sedentary in some contexts than others. Research demonstrates the potential for using EMA to capture real-time information about children's sedentary behavior during their nonschool time.

State-wide dissemination of a school-based nutrition education programme: a RE-AIM (Reach, Efficacy, Adoption, Implementation, Maintenance) analysis.

OBJECTIVE: The current study evaluated the overall public health impact of the 'Shaping Up My Choices' (SMC) programme, a 10-week school-based nutrition education curriculum developed for third-grade students, using the RE-AIM (Reach, Efficacy, Adoption, Implementation, Maintenance) framework. DESIGN: Randomized controlled trial to evaluate the programme and secondary analysis of archival data to describe dissemination. Data were collected from programme records, teacher surveys and student pre-, post- and 3-month follow-up surveys. SETTING: Public elementary schools in California. SUBJECTS: An evaluation sample (938 students and nineteen teachers) and a dissemination sample (195 245 students and 7359 teachers). RESULTS: In the evaluation sample, differences between the control and intervention groups were observed for nutrition knowledge, self-efficacy, outcome expectancies, and intakes of vegetables, fruit (girls only), soda, and low-nutrient high-energy foods from pre- to post-survey. Group differences in change in knowledge, outcome expectancies and vegetable intake were sustained through the 3-month follow-up (efficacy). One hundred per cent of intervention teachers in the evaluation sample implemented all of the lessons (implementation). The dissemination sample represented 42% of third-grade students (reach) and 39% of third-grade classrooms in public elementary schools in California during 2010-2011 (adoption). Thirty-seven per cent of third-grade teachers in the dissemination sample reordered SMC materials during the subsequent school year (2011-2012; maintenance). CONCLUSIONS: The SMC programme demonstrates the potential for moderate to high public health impact.

Locations of joint physical activity in parent-child pairs based on accelerometer and GPS monitoring.

BACKGROUND: Parental factors may play an important role in influencing children's physical activity levels. PURPOSE: This cross-sectional study sought to describe the locations of joint physical activity among parents and children. METHODS: Parent-child pairs (N = 291) wore an Actigraph GT2M accelerometer and GlobalSat BT-335 global positioning systems (GPS) device over the same 7-day period. Children were ages 8-14 years. Joint behavior was defined by a linear separation distance of less than 50 m between parent and child. Land use classifications were assigned to GPS datapoints. RESULTS: Joint physical activity was spread across residential locations (35 %), and commercial venues (24 %), and open spaces/parks (20 %). Obese children and parents performed less joint physical activity in open spaces/parks than under/normal weight children and parents (ps < 0.01). CONCLUSIONS: Understanding where joint parent-child physical activity naturally occurs may inform location-based interventions to promote these behaviors.

Differences in the intensity and duration of adolescents' sports and exercise across physical and social environments.

We used data from the American Time Use Survey (years 2003-06) to analyze whether the intensity and duration of high school students' (ages 15-18 years) sports and exercise bouts differed across physical and social environments. Boys' sports and exercise bouts were more likely to reach a vigorous intensity when taking place at school and with friends/acquaintances/other people; whereas girls' sports and exercise bouts were more likely to reach a vigorous intensity when outdoors and alone. For boys and girls, bout durations were greater at school and with friends/acquaintances/other people than in other environments. Overall, environmental influences on the intensity but not duration of sports and exercise bouts appear to differ between boys and girls.

Momentary assessment of adults' physical activity and sedentary behavior: feasibility and validity.

INTRODUCTION: Mobile phones are ubiquitous and easy to use, and thus have the capacity to collect real-time data from large numbers of people. Research tested the feasibility and validity of an Ecological Momentary Assessment (EMA) self-report protocol using electronic surveys on mobile phones to assess adults' physical activity and sedentary behaviors. METHODS: Adults (N = 110; 73% female, 30% Hispanic, 62% overweight/obese) completed a 4-day signal-contingent EMA protocol (Saturday-Tuesday) with eight surveys randomly spaced throughout each day. EMA items assessed current activity (e.g., Watching TV/Movies, Reading/Computer, Physical Activity/Exercise). EMA responses were time-matched to minutes of moderate-to-vigorous physical activity (MVPA) and sedentary activity (SA) measured by accelerometer immediately before and after each EMA prompt. RESULTS: Unanswered EMA prompts had greater MVPA (±15 min) than answered EMA prompts (p = 0.029) for under/normal weight participants, indicating that activity level might influence the likelihood of responding. The 15-min. intervals before versus after the EMA-reported physical activity (n = 296 occasions) did not differ in MVPA (p > 0.05), suggesting that prompting did not disrupt physical activity. SA decreased after EMA-reported sedentary behavior (n = 904 occasions; p < 0.05) for overweight and obese participants. As compared with other activities, EMA-reported physical activity and sedentary behavior had significantly greater MVPA and SA, respectively, in the ±15 min of the EMA prompt (ps < 0.001), providing evidence for criterion validity. CONCLUSION: Findings generally support the acceptability and validity of a 4-day signal-contingent EMA protocol using mobile phones to measure physical activity and sedentary behavior in adults. However, some MVPA may be missed among underweight and normal weight individuals.

Joint physical activity and sedentary behavior in parent-child pairs.

PURPOSE: The research examined joint physical activity and sedentary behavior among 291 parent-child pairs who both wore an accelerometer and Global Positioning System (GPS) device during the same 7-d period. METHODS: Children were 52.2% female, 8-14 yr, and 43.0% Hispanic. Parents were 87.6% female. An ActiGraph GT2M accelerometer and GlobalSat BT-335 GPS device collected activity and global positioning data, respectively. Linear distance between the parent and child for each 30-s epoch was calculated using geographic coordinates from the GPS. Joint behavior was defined as a separation distance less than 50 m between parents and children. RESULTS: On average, during nonschool waking hours, parents and children spent 2.4 ± 4.1 min·d (mean ± SD) performing moderate-to-vigorous physical activity (MVPA) together and 92.9 ± 40.1 min·d in sedentary behavior together. Children engaged in an average of 10 min·d of MVPA during nonschool waking hours when their parent was nearby but not engaging in MVPA. During this same period, parents engaged in 4.6 min·d of MVPA when their child was nearby but not engaging in MVPA. Household income level and the child's age were negatively associated with joint MVPA. Girls engaged in a greater percentage of their total MVPA together with their parent than boys. Girls and older children engaged in more sedentary behavior together with their parent than boys and younger children. Older parents engaged in a greater percentage of their sedentary behavior together with their children than younger parents. CONCLUSIONS: Replacing the time that parents and children spend together in sedentary pursuits with joint physical activity could have health benefits, especially for girls, older children, older parents, and higher income families.

Assessing the social and physical contexts of children's leisure-time physical activity: an ecological momentary assessment study.

PURPOSE: To use Ecological Momentary Assessment with mobile phones to describe where and with whom children's leisure-time physical activity occurs. DESIGN: Repeated assessments across 4 days (Friday-Monday) during nonschool time (20 total). SETTING: Chino, California, and surrounding communities. SUBJECTS: Primarily low to middle income children (N =121; aged 9-13 years; x¯=11.0 years, SD =1.2 years; 52% male, 38% Hispanic/Latino). MEASURES: Electronic surveys measured current activity (e.g., active play/sports/exercise, watching TV/movies), social company (e.g., family, friends, alone), physical location (e.g., home, outdoors, school), and other perceived contextual features (e.g., safety, traffic, vegetation, distance from home). Analysis . Multilevel linear and multinomial logistic regression. RESULTS: Most of children's physical activity occurred outdoors (away from home) (42%), followed by at home (indoors) (30%), front/backyard (at home) (8%), someone else's house (8%), at a gym/recreation center (3%), and other locations (9%). Children's physical activity took place most often with multiple categories of people together (e.g., friends and family) (39%), followed by family members only (32%), alone (15%), and with friends only (13%). Age, weight status, income, and racial/ethnic differences in physical activity contexts were observed. CONCLUSIONS: The most frequently reported contexts for children's leisure time physical activity were outdoors and with family members and friends together.

Identifying combinations of risk and protective factors predicting physical activity change in high school students.

Research sought to identify combinations of risk and protective factors predicting change in physical activity (PA) over one year in high school students. Adolescents (N = 344; M = 15.7 years) participated in a longitudinal study with assessment of demographics, substance use/smoking exposure, height and weight, psychological factors, and PA in 10th and 11th grade. PA participation in 11th grade was greatest for adolescents who engaged in PA and had high sports competence (78%), and least for adolescents who did not engage in or enjoy PA (13%) in 10th grade. Identifying adolescent subgroups at risk for decreasing PA can inform the development of tailored interventions.

Adolescents' sports and exercise environments in a U.S. time use survey.

BACKGROUND: Studies examining environmental influences on adolescent physical activity largely measure the presence and availability of social resources and built environment facilities. Unfortunately, this research approach provides limited information about adolescents' social company during exercise or the extent to which adolescents actually use physical settings for physical activity. PURPOSE: The current study used data from the nationally representative American Time Use Survey (2003-2006) to describe demographic and temporal patterns in the social and physical contexts of physical activity among adolescents. METHODS: The sample consisted of high school students (aged 15-18 years) reporting at least one bout of sports or exercise (N=867). During the interview, participants reported where (e.g., outdoors, home, work) and with whom (e.g., alone, family, friends) each bout occurred. Sample-weighted multinomial logistic regression analyses compared the proportion of bouts occurring in each environment by age, gender, family income, season, weekend/weekday, and time of day, controlling for race/ethnicity. Data were analyzed in 2009. RESULTS: Girls were more likely to exercise with family (22% vs 16%), and less likely to exercise with friends/acquaintances/others (47% vs 52%) and outdoors (18% vs 24%) than boys. Compared with those aged 15 years, a larger proportion of exercise bouts among those aged 18 years occurred alone (23% vs 18%); and a smaller proportion occurred at home (14% vs 20%), at someone else's house (5% vs 12%), and at school (14% vs 27%) (p's<0.001). CONCLUSIONS: Information about the social and physical contexts of adolescents' sports and exercise can help guide the selection of future environmental targets for investigation and intervention.

Reasons for urban trail use predict levels of trail-related physical activity.

BACKGROUND: Efforts to increase community levels of physical activity through the development of multiuse urban trails could be strengthened by information about factors predicting trail use. This study examined whether reasons for trail use predict levels of physical activity on urban trails. METHODS: Adults (N = 335) living within a 1-mile buffer zone of urban trails in Chicago, Dallas, and Los Angeles completed a self-report measure assessing demographics, reason for trail use, and physical activity on the trail. Accelerometers measured total daily moderate-to-vigorous physical activity (MVPA). Environmental features of the urban trail were assessed with the Systematic Pedestrian and Cyclist Environmental Scan for trails measure. Multivariate regression analyses were conducted that accounted for clustering of individuals within trail segments. RESULTS: After controlling for demographic and environmental factors and total daily MVPA, reasons for trail use significantly predicted recreational but not transportation activity. Recreational trail activity was greater for participants who reported exercise and health reasons for trail use as compared with other reasons (ie, social interaction, enjoying nature, walking pets) for recreational trail use. CONCLUSIONS: To increase the use of urban trails, it may be useful to promote the health and exercise benefits of recreational trail use.