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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 every ALED group, including the session date, start time, and end time, learning activities covered in the session, participant evaluations of the session and the facilitator, facilitator progress notes, the number of participants who were in various stages of readiness for moderate exercise, and the number of participants who tracked physical activity and thoughts about physical activity. This file has one record for each session of every ALED group.

Dataset 6 (ALED Attendance and Tracking Data (Years 2-4)) consists of participant-level attendance and tracking data for every ALED session during the second to fourth years of the evaluation, including the participant's attendance at the session, whether the participant's stage of readiness was assessed, and whether the participant tracked thoughts about physical activity or actual physical activity. There is no participant-level ALED data for the first year. Each participant has a separate record for each session. Thus, the file contains 20 records per participant in the years 2-3, and 12 records per participant in year 4.

Dataset 7 (ALED Aggregate Attendance and Tracking Data (Years 2-4)) contains ALED attendance and tracking data for each participant in years 2-4, aggregated across the sessions. The data file has one record for each participant.

Dataset 8 (Demographics) comprises program information (e.g., program status, start date, end date, site, etc.), demographic information (e.g., age, gender, race, Hispanic origin, employment status, income, and the participant's state and ZIP code of residence), and responses to the Physical Activity Readiness Questionnaire (PAR-Q), a screening tool that was used to assess possible risks of exercising based on answers to specific health history questions. The file contains one record for each AFL participant, except for those with a status of "nonstarter" or "repeater."

Datasets 9 (Pretest Survey Data) and 10 (Posttest Survey Data) contain data from the Pretest and Posttest Surveys. The Pretest Survey was administered at the beginning of the AC and ALED programs, while the Posttest Survey was administered at their end. Topics covered by the surveys include social and recreational activities, activities undertaken for exercise, perceived stress, depressive symptoms, satisfaction with body appearance and function, social support for physical activity, self-efficacy for physical activity, neighborhood environment, health conditions, health-related quality of life, caregiving, and self-reported height and weight. Both surveys included items from the Community Health Activities Model Program for Seniors Physical Activity Questionnaire (CHAMPS), the Center for Epidemiological Studies Depression Questionnaire (CES-D), the Behavioral Risk Factor Surveillance System Questionnaires (BRFSS), and the International Physical Activity Prevalence Study Environmental Module. These data files each have one record for each participant who submitted a questionnaire.

Dataset 11 (ALED Week 12 Survey Data (Year 4)) contains responses to the ALED Week 12 Posttest Survey, which was used to evaluate the 12-week adaptation of ALED in Year 4. (In Year 4, ALED participants completed both a 12- and 20-week posttest survey). There is one record for each participant who returned this survey.

Dataset 12 (Six-Month Posttest Follow-Up Survey Data (Years 3-4)) comprises data from a special 6-month follow-up survey which was administered in years 3-4 in six of the ALED sites and one of the AC sites. Participants were questioned about their current physical activities, weight, health-related quality of life, satisfaction with bodily function, and other topics. As with Datasets 9-11, the data file contains one record for each participant who returned a questionnaire.

Dataset 13 (Functional Fitness Tests Data) contains the results of pretest and posttest functional fitness tests which were administered by one ALED grantee. Four tests were adminstered: (1) the 30-Foot Walk Test, (2) the 30-Second Chair Stand, (3) 8-Foot Up and Go, and (4) the Chair Sit and Reach Test. This participant-level data file also includes pretest height measurements plus pretest and posttest weight measurements.

Dataset 14 (Participants' Impressions of the Programs (Years 1, 3, and 4)) contains data collected by the last sections of the Posttest Survey, ALED Week 12 survey, and 6-Month Follow-up Survey. The topics it covers include the participants' impressions of the programs, participation in physical activities, and changes (compared to before they started the AFL program) in motivation to be physically active, actual level of physical activity, medical and health conditions, overall pain, flexibility/limberness, level of stress, happiness, and enjoyment of life. The file has a separate record for each survey completed by the participants. Thus, there are 1-3 records per participant.

The Americans' Changing Lives (ACL) survey series is an ongoing, nationally representative, longitudinal study focusing especially on differences between Black and White Americans in middle and late life. These data constitute the first, second, third, fourth, fifth, and sixth waves in a panel survey covering a wide range of sociological, psychological, mental, and physical health items. Wave I of the study began in 1986 with a nation face-to-face survey of 3,617 adults ages 25 and up, with Black Americans and people aged 60 and over over-sampled at twice the rate of the others. Wave II constitutes face-to-face re-interviews in 1989 of those still alive. Survivors have been re-interviewed by telephone, and when necessary face-to-face, in 1994 (Wave III), 2001/02 (Wave IV), 2011 (Wave V), and 2019/21 (Wave VI).

Please note that for Wave VI, the majority of data collection occurred in 2019, with only a small subset (n=39) of participants surveyed in 2021.

ACL was designed and sought to investigate the following: (1) The ways in which a wide range of activities and social relationships that people engage in are broadly "productive," (2) how individuals adapt to acute life events and chronic stresses that threaten the maintenance of health, effective functioning, and productive activity, and (3) sociocultural variations in the nature, meaning, determinants, and consequences of productive activity and relationships. Among the topics covered are interpersonal relationships (spouse/partner, children, parents, friends), sources and levels of satisfaction, social interactions and leisure activities, traumatic life events (physical assault, serious illness, divorce, death of a loved one, financial or legal problems), perceptions of retirement, health behaviors (smoking, alcohol consumption, overweight, rest), and utilization of health care services (doctor visits, hospitalization, nursing home institutionalization, bed days). Also included are measures of physical health, psychological well-being, and indices referring to cognitive functioning.

Demographic information provided for individuals includes household composition, number of children and grandchildren, employment status, occupation and work history, income, family financial situation, religious beliefs and practices, ethnicity, race, education, sex, and region of residence.

The Annual Health Survey (AHS), conducted by the Government of India between July 2010 and May 2013, investigates maternal and child health in nine states: Assam, Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Orissa, Rajasthan, Uttarakhand, and Uttar Pradesh. These states constitute about 70 percent of neonatal deaths in India and about one-in-five neonatal deaths globally. The AHS consists of a three-round panel that interviewed over 4 million households in each round, as well as a one-time Clinical, Anthropometric, and Bio-Chemical Survey (CAB). The data were originally released to the public in 2015 as a set of 45 .csv files. The .csv files are included in a restricted-use zipped package as part of the ICPSR release (see dataset 21).

The survey focused on topics such as household composition, caste, fertility, family planning, pre- and post-natal care, breastfeeding, infant mortality, illness, disease, disability, and health care practices. Demographic information includes sex, age, education, occupation, marital status, household size, and religion. The CAB files contain biometric data including but not limited to height, weight, blood pressure, hemoglobin, pulse, and blood glucose.

Potential data users should note that the public-use and restricted-use versions of the datasets are the same except for the masking of day component variables for certain dates in the public-use versions of the files (please see the Description of Variables section for full details). Therefore, only researchers with a limited set of research questions that require full birth, marriage, and death dates will need to apply for the restricted-use versions of the data files.

Additionally, because the final data files are very large and potentially very time consuming to analyze on personal computers, researchers have the option to download ten-percent samples of each file (see datasets 3, 4, 7, 8, 11, 12, 15, 16, 19, and 20). These samples contain the same variables as the original files but only ten percent of the records. The samples were determined by taking a randomly selected ten percent of households in each district. P.I. codebooks were not produced for these samples. Please note that the ten-percent samples for each dataset were selected independently, so it is not advised to merge across datasets within the AHS using these samples, as the match rates will be very low.

The overall goal of the Baby's First Years study is to assess the causal role played by household income in affecting children's early cognitive, socio-emotional, and brain development. Recent advances in developmental neuroscience suggest that experiences early in life have profound and enduring impacts on the developing brain. Family economic resources shape the nature of many of these experiences, yet the extent to which they affect children's development is unknown. The Baby's First Years project is the first randomized controlled trial to provide estimates of the causal impacts of unconditional cash gifts on the cognitive, socio-emotional, and brain development of infants and young children in low-income U.S. families.

Specifically, 1,000 recruited mothers of infants with incomes below the federal poverty line from four diverse U.S. communities are receiving monthly cash gift payments by debit card. Mothers were initially told the gifts would last for the first 40 months of their child's life, but we have secured funding to continue the payments for three additional years (i.e., for a total of 76 months). Parents in the high cash gift group (n=400 in the study sample) are receiving a cash gift of $333 per month ($4,000 per year), while parents in the low cash gift group (n=600) are receiving a nominal monthly gift payment of $20 ($240 per year), also for 76 months.

In order to measure the impacts of the unconditional cash gift income on children's cognitive and behavioral development, we are assessing high and low cash gift group differences at ages 4, 6, and 8 (and, for a subset of measures, we capture interim development at ages 1, 2, and 3) in measures of cognitive, language, memory, self-regulation, and socio-emotional development. In order to understand the processes by which child impacts emerge, we are measuring a host of family process measures summarized in our pre-registration chart. Our data collection points are referred to as: "baseline", "age 1", "age 2," "age 3", "age 4", "age 6", and "age 8".

Additional information on the project, survey design, sample, variables, and COVID-19 pandemic adjustments are available from:

• The User Guides for Baseline, Age 1, Age 2, Age 3, and Age 4, which are included under the "Data and Documentation" tab
• The project's website: babysfirstyears.com

The researchers request that all peer-reviewed papers using BFY Data:

• be submitted to PubMed https://publicaccess.nih.gov immediately upon acceptance for publication
• include the following citation to the data in their bibliography:

Citation

Magnuson, Katherine A., Kimberly Noble, Greg J. Duncan, Nathan A. Fox, Lisa A. Gennetian, Hirokazu Yoshikawa, and Sarah Halpern-Meekin. Baby's First Years (BFY), New York City, New Orleans, Omaha, and Twin Cities, 2018-2023. ICPSR37871-v8. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], YYYY-MM-DD. http://doi.org/10.3886/ICPSR37871.v8

• and include the following in their acknowledgements:

Acknowledgement

This research uses data from the Baby's First Years study. Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under Award Number R01HD087384 and 2R01HD087384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This research was additionally supported by the US Department of Health and Human Services, Administration for Children and Families, Office of Planning, Research and Evaluation; Office of Behavioral and Social Sciences Research-Office of the Director, National Institutes of Health; Andrew and Julie Klingenstein Family Fund; Annie E. Casey Foundation; Arnold Ventures; Arrow Impact; BCBS of Louisiana Foundation; Bezos Family Foundation, Bill and Melinda Gates Foundation; Bill Hammack and Janice Parmelee, Brady Education Fund; Chan Zuckerberg Initiative (Silicon Valley Community Foundation); Charles and Lynn Schusterman Family Philanthropies; Child Welfare Fund; Esther A. and Joseph Klingenstein Fund; Ford Foundation; Greater New Orleans Foundation; Heising-Simons Foundation; Holland Foundation; Jacobs Foundation; JPB Foundation; J-PAL North America; Lozier Foundation; New York City Mayor's Office for Economic Opportunity; Perigee Fund; Robin Hood Foundation; Robert Wood Johnson Foundation; Russell Sage Foundation; Sherwood Foundation; Valhalla Foundation; Weitz Family Foundation; W.K. Kellogg Foundation; and three anonymous donors.

Principal Investigators

Katherine Magnuson, PhD; University of Wisconsin-Madison, lead PI social and behavioral science

Kimberly Noble, MD, PhD; Teachers College, Columbia University, lead PI neuroscience

In alphabetical order:

Greg Duncan, PhD; University of California, Irvine

Nathan A. Fox, PhD; University of Maryland

Lisa A. Gennetian, PhD; Duke University Sanford School of Public Policy

Hirokazu Yoshikawa, PhD; New York University

Principal Investigators of Qualitative Substudy

Sarah Halpern-Meekin, PhD; University of Wisconsin-Madison

Katherine Magnuson, PhD; University of Wisconsin-Madison

Study Management

Lauren Meyer, Teachers College, Columbia University; National Project Director

Andrea Karsh, University of California, Irvine; Administrative Director

Matthew Maury, Duke University, Production and Retention Management

Study Co-Investigators

Sarah Black, PhD; University of New Orleans

William Fifer, PhD; Sackler Institute for Developmental Psychobiology, Columbia University Medical Center

Michael Georgieff, MD; University of Minnesota

Joseph Isler, PhD; Columbia University Medical Center

Debra Karhson, PhD; University of New Orleans

Alicia Kunin-Batson, PhD, University of Minnesota

Connie Lamm, PhD; University of Arkansas

Dennis Molfese, PhD; University of Nebraska, Lincoln

Victoria Molfese, PhD; University of Nebraska, Lincoln

Jennifer Mize Nelson, PhD; University of Nebraska, Lincoln

Timothy Nelson, PhD; University of Nebraska, Lincoln

Sonya Troller-Renfree, PhD; Teachers College, Columbia University

Study Data Collectors

The Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, is responsible for recruitment and baseline, age-1, age-2, and age-3 data collection waves. Starting at age-4 through age-8, SRC is responsible for tracking families and assisting site-based staff in locating families. SRC data collection operations are overseen by: Stephanie Chardoul, Director of Survey Research Operations and Piotr Dworak, Senior Survey Specialist, Survey Research Operations.

Contact

To contact the study investigators, email them at [email protected]

Website: babysfirstyears.com

Oral contraceptive (OC) users living in El Paso, Texas were interviewed to assess motivations for patronizing a United States clinic or a Mexican pharmacy with over-the-counter (OTC) pills and to determine which women were likely to use the OTC option. The experiences of OC users who obtained their contraception from Mexican pharmacies were compared with those of women who obtained their pills from family planning clinics in El Paso, Texas, where eligible low-income women often pay nothing. 532 clinic users and 514 pharmacy users were surveyed about background characteristics, motivations for choosing their oral contraception source, and satisfaction with this source. For more information, please see the Border Contraceptive Access Study website.

The Chitwan Valley Family Study (CVFS) is a comprehensive family panel study of individuals, households, and communities in the Chitwan Valley of Nepal. The study was initially designed to investigate the influence of changing community and household contexts on population outcomes such as marital and childbearing processes. Over time, the goals of the study expanded to investigate family dynamics, intergenerational influences, child health, migration, labor force participation, attitudes and beliefs, mental health, agricultural production, environmental change, and many other topics. The data include full life histories for more than 10,000 individuals, tracking and interviews with all migrants, continuous measurement of community change, over 25 years of demographic event registry, and many other data collections. For additional information regarding the Chitwan Valley Family Study, please visit the Chitwan Valley Family Study Website. A Data Guide for this study is available as a web page and for download.

Principal Investigators

• William G. Axinn, University of Michigan
• Dirgha Ghimire, University of Michigan
• Jordan Smoller, Massachusetts General Hospital

This collection includes a combined dataset of the Generations study wave 1 (baseline) survey and the TransPop study transgender survey. The two studies have many overlapping variables, and they examined topics such as respondents' health outcomes and behaviors, experiences with discrimination, identity, and transition-related experiences. Data from these studies were merged to allow for analysis of the combined LGBT populations. This dataset has also been reweighted to be representative of these populations.

The complete Generations study data (baseline, wave 2, and wave 3 survey data) can be found under study number 37166, and the complete TransPop study data (transgender and cisgender survey data) can be found under study number 37938. For detailed information on the Generations and TransPop studies, including related publications, please refer to their respective DSDR/ICPSR study pages.

Exposure to traumatic events is a common experience for children and adolescents. Accurate early assessment of acute stress responses can help predict risk for longer term sequelae and can guide secondary prevention to reduce the incidence and severity of post-traumatic stress disorder (PTSD) after trauma exposure.

The goal of this project was to develop a practical self-report measure of acute stress disorder (ASD) for children and adolescents, and to provide initial evidence as to its reliability and validity. The specific aims of the project were to:

• Aim 1: Establish the content validity of a pilot Child ASD measure for ages 8 to 17, based on expert review and youth feedback.
• Aim 2: In a sample of recently injured children (n=176), assess the psychometric properties of the measure: internal consistency, test-retest reliability, convergent and discriminant validity with other measures and other reporters.
• Aim 3: Provide initial data regarding the predictive validity of the Child ASD measure in relation to later PTSD development in the same sample of children.

Children and youth, aged 8 - 18 years, were invited to participate in this study after being treated in an emergency department (ED) for an injury resulting from interpersonal community violence. Each invited youth also had to have been living within specified postal codes (urban areas surrounding the hospital). Following the youth's baseline assessment (T1), participants completed between 0 and 4 follow-up assessments. The timing of each follow-up assessment was scheduled according to the relative time since the index (violent injury) event occurred. The average follow-up assessment was conducted at 27 days (T3), 75 days (T5), 199 days (T7), and 467 days (T10).

After pediatric injury, posttraumatic stress and other emotional outcomes in children and their parents often go unrecognized and untreated. This is due in part to the challenges in identifying at-risk children and their parents in the emergency care setting. The aims of this study were to assess the extent to which nurses were able to implement a brief screener for posttraumatic stress symptoms risk within the course of normal care of injured patients, and to assess posttraumatic stress and depression symptoms in injured children (aged 8-17 years) and their parents after emergency department care, and the relationship of these symptoms to parent-reported overall recovery.

The objectives of the current study were to describe child post-traumatic stress (PTS), coping behavior, and parent coping assistance following a child's injury. The study enrolled children age 8 to 17 treated at the emergency department or admitted to the hospital for unintentional injury, and one parent per child. Children and parents completed measures of child PTS, coping, and coping assistance at 2 weeks post-injury and 3 months post-injury. The research team addressed these questions:

1. What types of coping do children use following an injury?
2. Is parent coping assistance related to child coping behavior?
3. Are child coping strategies associated with PTS symptoms?
4. Is early parent coping assistance related to later development of child PTS symptoms?

This study was originally conceived as a prospective randomized trial to evaluate the efficacy of secondary prevention messages conveyed in printed informational materials (handouts and workbooks) for children and parents after pediatric injury. Children and their parents received 1 of 5 randomly assigned workbook sections (each addressing a different key theme). No differences were observed between groups for parent/child knowledge and beliefs about PTS and adaptive coping, nor in child PTS symptoms. Thus, data from all groups have been combined for analyses of prospective PTS outcomes and coping processes.

Because the emergency department (ED) is often the only point of contact with the health care system for violently injured adolescents, it provides a unique opportunity to assess children following a violent injury. In violently injured teens, depressive and acute posttraumatic stress symptoms may help predict future behavioral risk factors and reinjury. The objective of this study was to examine whether emergency department (ED) assessments of depressive and posttraumatic stress symptoms after an episode of interpersonal violence are associated with future risk behaviors, re-injury and posttraumatic stress symptoms in adolescents.

Injured adolescents (age 12-17 years) were assessed for posttraumatic stress and depression symptoms and self-reported risk behaviors either during or soon after (within 2 weeks) an ED visit and completed a telephone follow-up assessment between 6 and 18 months later, during which they were assessed again for self-reported risk behaviors, posttraumatic stress symptoms and re-injury.

Trajectory modeling can identify patterns of posttraumatic stress symptoms in children and parents. This study aimed to describe trajectories of child and parent posttraumatic stress symptoms across 2 years post-injury, and to examine potential risk factors predicting problematic trajectories. The study enrolled children age 7 to 16 admitted to general or intensive care units for treatment of accidental injury, and one parent/caregiver per child. Within 2 weeks of injury, and at 4-6 weeks, 6 months, and (a subset) at 2 years post-injury, children and parents were assessed for posttraumatic stress symptoms. Parents also completed measures of parenting behavior and pre-injury child mental health.

This study prospectively assessed psychological and cognitive sequelae of traumatic brain injury (TBI) in children. Multiple factors may influence children's functioning following head injury including injury severity, pre-injury child factors, and family factors. Overall study aims were to describe the relationships between these factors and children's recovery in the eighteen months following their injury, to examine the relationship between children's cognitive impairments post injury and psychological distress related to the injury event, and to examine the role of PTSD in children's recovery from TBI.

The study enrolled children age 6 to 15 admitted to hospital after an accident resulting in mild to severe TBI, and one parent per child. Children and parents completed research assessments within 2 months of the accident, and at 3, 6, 12, and 18 months post-accident. Child health and behavior, health-related quality of life, parenting, and parent posttraumatic stress were assessed at all time points, and child posttraumatic stress symptoms were assessed at 3, 6, 12, and 18 months.

The broad aims of this overall project were to examine predictors of children's adjustment, mainly post-traumatic stress disorder (PTSD), after a single-incident injury. The overarching hypothesis was that a combination of physiological/biological, cognitive, and parental anxiety factors would predict children's later adjustment. The dataset in this collection comes from the combination of two broad projects that recruited from the same hospitals, with the first (smaller) project being built upon by the second project (which contained additional measures and an additional follow-up).

Children and adolescents aged 7 to 17 and their families (n=135) were recruited for the study after presentation to either of two major metropolitan Australian hospitals following a single-incident injury. Children's heart rate was recorded at hospital triage. Children and parents completed risk screening measures within 4 weeks of injury. Measures for cognitive appraisals, social support, traumatic stress, depression, and anxiety symptoms were assessed at 3 months and 6 months post-injury.

The aims of this study were to describe the course of posttraumatic stress responses in children after exposure to a hurricane and to examine potential predictors of child outcomes.

Three months after a major hurricane, the study enrolled students in grades three to five (age 7 to 12) in local schools. At the initial (3 month) assessment, children reported on specific hurricane-related trauma exposures, posttraumatic stress and anxiety symptoms, coping, and social support; at 7 months and 10 months post-hurricane, children reported on posttraumatic stress, anxiety, and coping.

This study enrolled children ages 7 to 15 who received medical care at the hospital after an acute traffic accident or burn injury, and up to two parents/caregivers per child. Within 1 month of injury, and at 3 months, and 6 months post-injury, children and parents were assessed for posttraumatic stress symptoms (PTSS) and depression. Parents also completed measures of their own anxiety symptoms and of child behavior and health-related quality of life. The study aimed to achieve a better understanding of dysfunctional trauma-related cognitions considering child and environmental factors in a cross-sectional and a longitudinal design.

The overall objective of this study was to examine trajectories and predictors of posttraumatic stress and depression in children and parents after a major hurricane, with a particular focus on hurricane exposure and on parenting variables that might be amenable to intervention.

Three months after the hurricane, the study enrolled students in grades four through eight (age 8 to 16) in local schools and invited parent participation, and conducted assessments at four time points post-hurricane. Children reported on prior violence exposure and hurricane-related trauma exposure, and on posttraumatic stress, coping, social support; and parents reported on child behavior as well as their own posttraumatic stress and other mental health symptoms, coping, and parenting practices. (Note: The current dataset does not include measures of parenting practices.)

Millions of children suffer unintentional injuries annually. While the majority display transient psychological distress, a significant minority develop significant, persistent symptoms of posttraumatic stress disorder (PTSD) that are associated with poorer general health outcomes and impaired quality of life. Understanding variables that contribute to the development of PTSD is an essential step in identifying children at increased risk for PTSD and improving secondary prevention to reduce the incidence of PTSD in children following medical events.

The objective of this study was to examine the interplay of biological, psychological (cognitive appraisals, coping), and environmental (parent influence) factors during the peri-trauma time period as these relate to the development of child PTSD symptoms over time.

Children age 8-13 with a recent injury (within the past 2 weeks) and one parent / caregiver per child were enrolled during an inpatient hospitalization. At the time of enrollment, and again 6 weeks and 12 weeks post-injury, children and parents completed measures of cognitive appraisals, coping, coping assistance, and PTSD symptoms. A brief parent-child interaction task was completed at the time of the baseline assessment - data from this task-based assessment are not included in this dataset.

The Daily Experiences and Well-Being Study (DEWS) was conducted in 2017 by the University of Michigan Survey Research Center. Adults aged 65 and older were recruited from the greater Austin Texas Metropolitan Statistical Area. To be eligible for the study, respondents had to be aged 65 or older, community dwelling, cognitively capable of completing the study, and not working full time. Surveys and interviews were conducted in Spanish or English. After an initial phone screening, a local interviewer contacted the respondent to conduct an in-person interview that lasted approximately 1.5 to 2 hours.

They then engaged in a 5-6 day intensive data collection, involving ambulatory assessments. The study provided handheld Android devices (i.e. smart phones) for the additional data collection, as well as training in the use of these devices to complete surveys.

The devices gathered self-reports of social interactions, activities and mood every 3 hours via ecological momentary assessments, EMA), recorded conversations 30 seconds out of every 7 minutes, (via electronically activated recordings, EAR), and physical activity every minute measured via actigraphs (Actical). At the end of the intensive data collection, the interviewer returned to the respondent's house to pick up the devices as well as a self-administered Leave-Behind Questionnaire (LBQ). A total of 333 respondents completed the baseline interview, 326 (97.9%) of whom completed device collection.

This collection includes an in-person interview (baseline/global), additional device collection (EMA, EAR, Actical), and Leave Behind Questionnaire. These data provide information on how social partners contribute to emotional, physical and cognitive experiences and to daily and global well-being. Demographic information includes age, race, ethnicity, gender, marital status, living arrangement, and education level.

The English Longitudinal Study of Ageing is a study of aging and quality of life for people over the age of 50. Established in 2002, the original sample was drawn from households that had previously responded to the Health Survey for England (HSE) between 1998 and 2001. The same group of respondents are surveyed every two years to see how their health, economic, and social circumstances may change over time. One of the study's aims is to determine the relationships between functioning and health, social networks, resources, and economic position as people plan for, move into, and progress beyond retirement. It is patterned after the Health and Retirement Study, a similar study based in the United States.

Although new topics can be introduced at different waves, every module has been reviewed to ensure that it will provide data that can measure change over time. This is achieved by repeating some measures exactly, by asking directly about change, and by adopting questions to allow people to update or amend past responses.

The information collected provides data about: Household and individual demographics; Health - physical and psychosocial; Social care (from Wave 6); Work and pensions; Income and assets; Housing; Cognitive function; Social participation; Effort and Reward (voluntary work and caring); Expectations; Walking speed; Weight.