This readme.txt file was generated on 7/15/2022 by Siobhan McMahon and Qi Wang. Edited by data curator 20240503. Recommended citation for the data: McMahon, Siobhan K; Lewis, Beth; Guan, Weihua; Hayes, Shannon; Wang, Qi; Rothman, Alexander J. (2024). Community based intervention effects on older adults’ physical activity and falls (Ready Steady 3.0). Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/JN2W-DZ73. ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: Community based intervention effects on older adults’ physical activity and falls (Ready Steady 3.0) 2. Author Information Principal Investigator Contact Information Name: Siobhan K McMahon Institution: University of Minnesota, School of Nursing Address: Email: skmcmaho@umn.edu ORCID: 0000-0002-3036-9859 Associate or Co-investigator Contact Information Name: Beth Lewis Institution: University of Minnesota, School of Kinesiology Address: Email: blewis@umn.edu ORCID: 0000-0002-6034-568X Associate or Co-investigator Contact Information Name: Qi Wang Institution: University of Minnesota, School of Public Health Address: Email: wangx890@umn.edu ORCID: 0000-0001-6341-6087 Associate or Co-investigator Contact Information Name: Weihua Guan Institution: University of Minnesota, School of Public Health Address: Email: ORCID:0000-0002-0956-9821 Associate or Co-investigator Contact Information Name: Alexander Rothman Institution: University of Minnesota, Psychology Department Address: Email: ORCID: 0000-0003-3163-1895 3. Date published or finalized for release: February 29th, 2024 4. Date of data collection range 2017/11/17 through 2022/09/02 5. Geographic location of data collection (where was data collected?): Minneapolis, Saint Paul and Roseville, Minnesota 6. Information about funding sources that supported the collection of the data: National Institutes of Health, National Institutes of Nursing Research (grant 5R01NR016705-05). 7. Overview of the data (abstract): Less than 14% of older adults perform physical activities recommended by the CDC and WHO, which include fall reducing exercises.The purpose of the Ready Steady 3.0 trial was to test the main effects and interactions of two types of behavior change change strategies within an 8-week physical activity intervention, on physical activity (PA) and falls. The two types of behavior change strategies are interpersonally oriented (e.g., peer to peer learning and sharing of barriers and problem solving) or intrapersonally oriented (e.g., personal goals and action plans), based on theory and evidence. To test their effects, 309 adults ≥ 70 years old were randomized to 1 of 4 conditions in a 2 × 2 full factorial trial. All participants received two core intervention components: the Otago Exercise Program adapted for small groups and a PA monitor. All interventions were delivered during 8 weekly, small group, meetings in community settings. The primary outcome of PA, measured objectively, and secondary outcomes of falls and the quality of life were assessed at baseline and post-intervention: 1 week, 6 months, and 12 months. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Attribution-NonCommercial-NoDerivs 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/ 2. Links to publications that cite or use the data: McMahon, S. K., Lewis, B. A., Guan, W., Wang, Q., Hayes, S. M., Wyman, J. F., & Rothman, A. J. (2024). Effect of Intrapersonal and Interpersonal Behavior Change Strategies on Physical Activity Among Older Adults: A Randomized Clinical Trial. JAMA Network Open, 7(2), e240298-e240298. McMahon SK, Lewis BA, Guan W, Wyman JF, Rothman AJ. Community-based intervention effects on older adults' physical activity and falls: Protocol and rationale for a randomized optimization trial (Ready Steady3.0). Contemp Clin Trials. 2021 Feb;101:106238. doi: 10.1016/j.cct.2020.106238. 3. Was data derived from another source? No 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/drum/policies/#terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: ReadySteady_LongitudinalDataset.sas7bdat Short description: This file contains demographics, clinical characteristics, potential mediators and confounders, primary and secondary outcomes for the 309 randomized subjects in the long format. Each row is one time point per subject. Data is sorted by subject_id and timepoint. B. Filename: ReadySteady_FallsDataset.sas7bdat Short description: This file contains the falls data for the 309 randomized subjects in the long format. Each row is one month per subject. Data is sorted by subject_id and falls_mnumb (month number). C. Filename: ReadySteady_MedicationsDataset.sas7bdat Short description: This file contains the medications data for the 309 randomized subjects in the long format. Each row is one medication per time point per subject. Data is sorted by subject_id and timepoint. D. ReadySteady_FallsDataset_VariableList.xlsx Short description: Codebook for Falls dataset E. ReadySteady_LongitudinalDataset_VariableList.xlsx Short description: Codebook for Longitudinal dataset F. ReadySteady_MedicationsDataset_VariableList.xlsx Short description: Codebook for Medications dataset G. ReadySteady_Datasets_CSVformats.zip Short description: Datasets in CSV format for preservation and interoperability H. ReadySteady_VariableLists_CSVformats.zip Short description: Codebooks in CSV format for preservation and interoperability 2. Relationship between files: All data files contain data for the 309 randomized subjects. They can be linked by variable subject_id. The codebooks detail variable values and descriptions. The CSV files are duplicates created for long term preservation and interoperability. -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Data was collected systematically during structured assessments conducted privately with each participant by trained researchers and research assistants. Data collection time points were 2 to 4 weeks pre-intervention; 1 week post-intervention; 6 months post-intervention, and 12 months post-intervention. 2. Methods for processing the data: Raw data were downloaded from Redcap. Data distribution and missing data were checked and verified by time point, using descriptive statistics and histograms. Survey scales were created, Cronbach’s alpha coefficients were calculated, distribution of the summary scores were examined using descriptive statistics and histograms. Analysis datasets were created by selecting variables of interest and were saved in SAS format. The variables for age, ethnicity, and race (which includes nationality) were removed from the longitudinal dataset in order to protect participant identities. 3. Instrument- or software-specific information needed to interpret the data: All data processes were done in SAS version 9.4 (SAS Institute Inc., Cary, NC). All three data files are in SAS format. They can be imported into other statistical softwares. 4. Standards and calibration information, if appropriate: NA 5. Environmental/experimental conditions: 1. Receipt of Information about Health and Age, Otago Exercise Program adapted for small groups, Physical activity monitor (Fitbit Charge2) 2. Receipt of Interpersonal behavior change strategies, Otago Exercise Program adapted for small groups, Physical activity monitor (Fitbit Charge2) 3. Receipt of Intrapersonal behavior change strategies, Otago Exercise Program adapted for small groups, Physical activity monitor (Fitbit Charge2) 4. Receipt of interpersonal and intrapersonal behavior change strategies, Otago Exercise Program adapted for small groups, Physical activity monitor (Fitbit Charge2) 6. Describe any quality-assurance procedures performed on the data: ● Staff were trained to attain/ maintain data collection / assessment competencies ● Protocols and checklists were used for data collection before beginning the collection process ● Data collection forms were developed with appropriate data types and validation for each variable, in REDCap.Forms were piloted and improved before study began ● Data was verified and checked for quality was reviewed on an ongoing basis throughout the project by the project manager and coordinator ● REDCap was used to capture and manage data. Interview and observational data was entered directly into a REDCap database from encrypted, password-protected iPad tablet computers. ● Accelerometer data from each participant was validated and then downloaded into REDCap from a secure research database, Fitabase, using an API developed for this study. Fitabase enabled capturing, aggregating, reducing, and securely storing de-identified accelerometer data from physical activity-monitors. 7. People involved with sample collection, processing, analysis and/or submission: ● All assessors had continual access to the training courses, manuals of procedures and checklists, the study protocol, and the Principal Investigator for reference and consultation as needed. ● Training was delivered using online and in-person strategies. ● Assessors, including research assistants and research professionals, were trained to prepare for, conduct data collection, and maintain data from all data collection/ assessment meetings ● Core assessor role competencies include screening, consenting, and conducting structured interviews with older adults., accurately capturing and verifying physical activity data as well as data from questionnaires, doing the SPPB, and using secure iPads, Fitabase, and REDCap to capture, store, and manage data. ● Additionally, assessors had competencies for all phases of physical activity monitor management and providing as-needed assistance to study participants and research staff to troubleshoot physical activity monitors. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: all data files ----------------------------------------- 1. Number of variables: ReadySteady_LongitudinalDataset: 153 ReadySteady_FallsDataset: 7 ReadySteady_MedicationsDataset: 8 2. Number of cases/rows: ReadySteady_LongitudinalDataset: 1236 ReadySteady_FallsDataset: 10879 ReadySteady_MedicationsDataset: 3647 3. Missing data codes: There are no codes for missing data. A missing value is indicated by an empty cell. 4. Variable List ReadySteady_LongitudinalDataset: See ReadySteady_LongitudinalDataset_VariableList.xlsx ReadySteady_FallsDataset: See ReadySteady_FallsDataset_VariableList.xlsx ReadySteady_MedicationsDataset: See ReadySteady_MedicationsDataset_VariableList.xlsx