This statistic represents the percentage of adults in the United States that had done no physical activity or exercise within the preceding 30 days, in 2023. That year, Mississippi had the highest rate of physical inactivity among U.S. states, with **** percent of adults reporting no physical activity or exercise besides their job. The state of Utah had the lowest rates of physical inactivity at this time. Physical inactivity and obesityPhysical inactivity is an important risk factor in the development of obesity. Similar to physical inactivity rates, Mississippi had the second-highest rates of obesity in 2023 at around ** percent, while Colorado had the lowest rate at around ** percent. Prevalence rates of obesity have grown steadily among U.S. adults over the decade. Activity recommendationsPhysical inactivity not only increases the risk of being overweight or obese, but also raises the risk of developing other diseases such as cardiovascular disease. Due to the increased health risks of inactivity, the U.S. government recommends at least 150 minutes per week of moderate-intensity or 75 minutes per week of vigorous activity for adults. Children are recommended to include 60 or more minutes per day for aerobic, muscle-strengthening, and bone-strengthening activities three times per week.

This statistic shows the share of people who engaged in no physical activity in the United States in 2023, sorted by age. In 2023, the share of people aged 65 or older doing no outdoor activity amounted to approximately ** percent.

Analysis of ‘National Physical Inactivity’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/parvanekhosravizade/national-physical-inactivity-report on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context

"https://www.americashealthrankings.org/explore/annual/measure/Sedentary/state/ALL">US National Physical Inactivity; 2021

Content

The content of this dataset reveals valuable information about national physical inactivity in the United States

Acknowledgements

Source: America’s Health Rankings 2021 Annual Report. ©2021 United Health Foundation. All Rights Reserved.

Inspiration

This dataset helped me to get more insights in order to analyze FitBit Fitness Tracker Data notebook for my Bellabeat Analysis

--- Original source retains full ownership of the source dataset ---

Sponsored by the Robert Wood Johnson Foundation, the Active for Life (AFL) initiative investigated how two physical activity programs for adults aged 50 and older, Active Choices (AC) and Active Living Every Day (ALED), worked in community settings. Created by researchers at Stanford University, Active Choices used lifestyle counseling and personalized telephone support to encourage older adults to be physically active. In AFL, this was a 6-month program delivered through one face-to-face meeting followed by up to eight one-on-one telephone counseling calls. Active Living Every Day, which was created by the Cooper Institute and Human Kinetics Inc., also provided lifestyle counseling to promote physical activity, but in a classroom and workbook format. During the first three years of the four-year AFL initiative, ALED was delivered as a 20-week program where participants attended weekly small group meetings, but in the last year it was shortened to 12 weekly meetings. Nine organizations received AFL grants to implement the programs during 2003-2006. Four grantees implemented the one-on-one AC model, while five implemented the group-based ALED model. Data were collected from the AC and ALED sites for both a process and outcomes evaluation. The primary aims of the process evaluation were to (1) monitor the extent to which the grantees demonstrated fidelity to the AC and ALED models in their program implementation, (2) assess staff experiences implementing the programs, and (3) assess participants' impressions of the programs. A quasi-experimental, pre-post study design was used to assess outcomes. Primary aims of the outcomes evaluation were to evaluate the impact of AC and ALED on self-reported physical activity, and to evaluate the impact of the programs on self-reported stress, depressive symptoms, and satisfaction with body function and appearance. Secondary aims of the outcome evaluation were to (1) evaluate the impact of the programs on measures of functional fitness, (2) examine whether changes in self-reported physical activity and functional fitness were moderated by participant characteristics, including age, gender, race, baseline physical activity self-efficacy, and baseline physical activity social support, and (3) examine whether changes in self-reported physical activity were consistent with a mediation model for physical activity self-efficacy and physical activity social support. The collection has 14 data files (datasets). Datasets 1-7 constitute the process evaluation data, and Datasets 8-14 the outcomes evaluation data: Dataset 1 (AC Initial Face-to-Face Sessions Data) contains information about the initial face-to-face AC session: the format, date, and length of the session, whether the 8 steps required in the face-to-face session were completed, what was discussed between the health educator and the participant related to physical activity plans, interests, benefits, and barriers, and the health educator's progress notes. The file contains one record for each AC participant. Dataset 2 (AC Completed Calls Data) comprises information about the completed AC calls, but does not cover the topics discussed on the calls. Recorded information about each call includes the date and length of the call, the health educator's progress notes, and whether the participant was assessed for injury, light activity, moderate activity, exercise goals, or exercise intentions. Each call is represented by a separate record in the data file and, typically, there are multiple records per participant. Dataset 3 (AC Topics Discussed on Completed Calls ) contains information about the topics discussed on each completed AC call, e.g., exercise barriers/benefits, previous exercise experiences, goal setting, long term goals, injury prevention, rewards/reinforcement, social support, progress tracking, and relapse prevention. Each record in the file represents one topic and there are often multiple records per call for each participant. Dataset 4 (AC Aggregate Call Data) aggregates the call data across calls for each AC participant. For example, for a given participant, this dataset shows the total number of calls completed, the number of calls where injury/health problems were assessed, etc. The file contains one record per participant. Dataset 5 (ALED Sessions Data) contains information about each class session for e

This statistic depicts the number of participants in physical activity in the United States from 2013 to 2021. According to the source, approximately ***** million Americans were engaged in physical activity in 2021.

This web map is part of the Centers for Disease Control and Prevention (CDC) PLACES. It provides model-based estimates of physical inactivity prevalence among adults aged 18 years and old at county, place, census tract and ZCTA levels in the United States. PLACES is an expansion of the original 500 Cities Project and a collaboration between the CDC, the Robert Wood Johnson Foundation, and the CDC Foundation. Data sources used to generate these estimates include the Behavioral Risk Factor Surveillance System (BRFSS), Census 2020 population counts or Census annual county-level population estimates, and the American Community Survey (ACS) estimates. For detailed methodology see www.cdc.gov/places. For questions or feedback send an email to places@cdc.gov.Measure name used for physical inactivity is LPA.

Growing evidence suggests that physical activity lowers the risk of several types of cancer. In 2022, the state with the highest rate of new physical inactivity-associated cancers was Iowa, with a rate of around *** cases per 100,000 people. This graph shows the rate of new physical inactivity-related cancers per 100,000 people in the United States in 2022, by state.

This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. This table displays the percentage of adults meeting Aerobic Physical Activity guidelines in California. It contains data for California only. The data are from the California Behavioral Risk Factor Surveillance Survey (BRFSS). The California BRFSS is an annual cross-sectional health-related telephone survey that collects data about California residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. The BRFSS is conducted by the Public Health Survey Research Program of California State University, Sacramento under contract from CDPH. The column percentages are weighted to the 2010 California Department of Finance (DOF) population statistics. Population estimates were obtained from the CA DOF for age, race/ethnicity, and sex. Values may therefore differ from what has been published in the national BRFSS data tables by the Centers for Disease Control and Prevention (CDC) or other federal agencies.

Context

Prevalence of Self-Reported Overall Physical Inactivity Among US Adults by State and Territory, BRFSS, 2017–2020

Content

The content of this dataset reveals valuable information about overall physical inactivity among US adults by state and territory.

Acknowledgements

Content source: Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion

Inspiration

This dataset helped me to get more insights in order to analyze FitBit Fitness Tracker Data notebook for my Bellabeat Analysis

it includes available natural resources for outdoor activities, Physical inactivity and households income. This dataset is associated with the following publication: Jiang , Y., Y. Yuan , A. Neale , L. Jackson , and M. Mehaffey. Association between Natural Resources for Outdoor Activities and Physical Inactivity: Results from the Contiguous United States. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 13(8): 1-12, (2016).

Physical Activity - This indicator shows the number of persons who reported at least 150 minutes of moderate physical activity or at least 75 minutes of vigorous physical activity per week. Physical activity is important to prevent heart disease and stroke, two of the important causes of death in United States. In order to improve overall cardiovascular health, The American Heart Association suggests at least 150 minutes per week of moderate exercise or 75 minutes per week of vigorous exercise. Link to Data Details

Nutrition, Physical Activity, and Obesity - National Immunization Survey (Breastfeeding)

  Description

This dataset includes breastfeeding data from the National Immunization Survey (NIS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about breastfeeding and NIS visit https://www.cdc.gov/breastfeeding/data/nis_data/index.htm.… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/nutrition-physical-activity-and-obesity-national-i.

Growing evidence suggests that physical activity lowers the risk of several types of cancer. In the United States, in 2022, postmenopausal female breast cancer was the type of inactivity-associated cancer with the highest incidence, with a rate of around 355 per 100,000 people. This graph shows the rate of physical inactivity-related cancers per 100,000 people in the United States in 2022, by cancer type.

Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System

  Description

This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.

  Dataset Details

Publisher: Centers for Disease Control and… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/nutrition-physical-activity-and-obesity-behavioral.

This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/.

{"definition": "Percentage of high school students who self-report doing any kind of physical activity that increased their heart rate and made them breathe hard some of the time for a total of at least 60 minutes per day on each of the 7 days before the survey.", "availableYears": "2009", "name": "High schoolers physically active (%), 2009*", "units": "Percent", "shortName": "PCT_HSPA09", "geographicLevel": "State", "dataSources": "Tabulations of data from the 2009 Youth Risk Behavior Surveillance System."}

© PCT_HSPA09

This layer is sourced from gis.ers.usda.gov.

This dataset is from the 2013 California Dietary Practices Survey of Adults. This survey has been discontinued. Adults were asked a series of eight questions about their physical activity practices in the last month. These questions were borrowed from the Behavior Risk Factor Surveillance System. Data displayed in this table represent California adults who met the aerobic recommendation for physical activity, as defined by the 2008 U.S. Department of Health and Human Services Physical Activity Guidelines for Americans and Objectives 2.1 and 2.2 of Healthy People 2020.

The California Dietary Practices Surveys (CDPS) (now discontinued) was the most extensive dietary and physical activity assessment of adults 18 years and older in the state of California. CDPS was designed in 1989 and was administered biennially in odd years up through 2013. The CDPS was designed to monitor dietary trends, especially fruit and vegetable consumption, among California adults for evaluating their progress toward meeting the 2010 Dietary Guidelines for Americans and the Healthy People 2020 Objectives. For the data in this table, adults were asked a series of eight questions about their physical activity practices in the last month. Questions included: 1) During the past month, other than your regular job, did you participate in any physical activities or exercise such as running, calisthenics, golf, gardening or walking for exercise? 2) What type of physical activity or exercise did you spend the most time doing during the past month? 3) How many times per week or per month did you take part n this activity during the past month? 4) And when you took part in this activity, for how many minutes or hours did you usually keep at it? 5) During the past month, how many times per week or per month did you do physical activities or exercises to strengthen your muscles? Questions 2, 3, and 4 were repeated to collect a second activity. Data were collected using a list of participating CalFresh households and random digit dial, approximately 1,400-1,500 adults (ages 18 and over) were interviewed via phone survey between the months of June and October. Demographic data included gender, age, ethnicity, education level, income, physical activity level, overweight status, and food stamp eligibility status. Data were oversampled for low-income adults to provide greater sensitivity for analyzing trends among our target population.

Growing evidence suggests that physical activity lowers the risk of several types of cancer. In 2022, people aged 80 to 84 years in the U.S. had the highest incidence of physical inactivity-associated cancers, with a rate of 466 cases per 100,000 people. This graph shows the rate of new physical inactivity-related cancers per 100,000 people in the United States in 2022, by age group.

Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System

  Description

This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/nutrition-physical-activity-and-obesity-youth-risk.

{"definition": "Number of fitness and recreation centers in a county divided by number of county residents, where fitness and recreation centers (defined by North American Industry Classification System (NAICS) code 713940) are establishments primarily engaged in operating fitness and recreational sports facilities featuring exercise and other active physical fitness conditioning or recreational sports activities, such as swimming, skating, or racquet sports.", "availableYears": "2012", "name": "Recreation & fitness facilities/1,000 pop, 2012", "units": "# per 1,000 pop", "shortName": "RECFACPTH12", "geographicLevel": "County", "dataSources": "U.S. Census Bureau, County Business Patterns. Population data are from the U.S. Census Bureau, Population Estimates."}

© RECFACPTH12

This layer is sourced from gis.ers.usda.gov.