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The 500 Family Study was designed to obtain in-depth information on middle class, dual-career families living in the United States. To understand the complex dynamics of today's families and the strategies they use to balance the demands of work and family, over 500 families from 8 cities across the United States were studied. To address different issues facing parents with older and younger children, families with adolescents and families with kindergartners were included in the sample. Working mothers and fathers are now splitting their time between their responsibilities to their family, and to their respective occupations. This study of 500 families explores how work affects the lives and well-being of parents and their children.

The study's data allows researchers to explore a broad range of questions:

• How do dual-career families manage and organize their resources and time between family and work?
• How do work conditions, including characteristics of the job and workplace environment, affect the quality of relationships among household members?
• How do dual career parents manage the moral and social development and learning experiences of their children?
• How do the work-related responsibilities of working parents affect their child's moral, social, and educational development?
• What effect is consumerism and technology having on how working families direct the moral and social development of their children?
• What do parents believe is their role regarding the child-care of their children and how they should fulfill that role both in terms of time and in the allocation of economic and social resources? What are some of the resources in the community that parents use to supervise their children?
• How do families regard the "free time" of adolescents and how they allocate adolescent "free time" in maintenance of the household?
• What is the quality of relationships among family members?

To obtain a detailed picture of work and family life, mothers, fathers, and their children were asked to complete a series of instruments including surveys, in-depth interviews, and time diaries. These instruments were designed to provide information about work, marriage, child care and parental supervision, management of household tasks, time allocations, coping strategies, and psychological well-being.

The four datasets associated with this data collection are summarized below:

1. The Cortisol Data contains information for a subsample of families that elected to participate in a study of psychological stress. Parents and teenagers who agreed to participate completed an additional two days of ESM data collection. The health survey that was administered reported on a variety of health and lifestyle issues that might affect cortisol (stress hormone) levels such as medication use, consumption of caffeine and alcohol, use of nicotine, timing of menstrual cycle, pregnancy, presence of chronic illness, and respondent's height and weight. Additionally, parents reported on the health of the children (teenagers and kindergartners) participating in the study.
2. The Experience Sampling Method (ESM) Data contains a variety of information related to how individuals spend their time, who they spent it with, and what activities they were engaged in over the course of a typical week. Respondents wore programmed wrist watches that emitted signals (beeps) throughout the day. When possible, family members were placed on identical signaling schedules to provide information on a range of family activities. At the time of each beep, participants were asked to complete a self-report form which asked them to answer a number of open-ended questions about their location, activities, who they were with, and psychological states. Several Likert and semantic-differential scales were used to assess participants' psychological states.
3. The Parent Data contains basic demographic information from respondents as well as detailed information about parents' occupation job duties, income, work schedule, benefits (e.g., medical care, flexible work schedules, and family leave), and the consequences of their jobs (e.g. long hours, job stress, having to work weekends). Additionally, the data contain information about the extent to which parents experienced work-family conflict and what changes might help with better balance of the demands of work and family (e.g., more flexible work hours, more help from spouses with household and child care responsibilities, improved child care, and after-school care arrangements). Parental attitudes toward traditional arrangements, how household tasks were actually divided among family members, and how often the family paid for services (e.g., cleaning, yard work, meal preparation) were also captured. The data also contain information about how children are socialized in families with two working parents. Topics about the frequency with which parents engaged in various activities with their children (e.g., talking, eating meals together, attending religious services), how frequently parents monitored their teenager's activities, and how often they talked with their teenager about school activities, plans for college, career plans, friendships, and peer pressure.
4. The Adolescent Data contains data for sixth through twelfth graders, which focuses on family relationships and experiences, school experiences, paid work, psychological well-being and behavioral problems, and plans for the future (e.g., college, career, and marriage -- including expectations regarding spouses' sharing of responsibility for child care, cooking, chores, and paid work). To allow for comparison of parents' and adolescents' responses to similar questions, several items appear in both the adolescent and parent data. These items include the frequency with which parents and adolescents discuss school events, college and career plans, participation in religious and other activities, gender role attitudes and the division of household tasks within the family, and items measuring depression, stress, and anxiety.

Qualitative Data -- Interviews The main purpose of the interviews was to explore topics addressed in the parent and adolescent surveys in greater detail. Parent interviews were designed to examine how working parents cope with the demands of work and family life. Adolescent interviews touched on similar themes but altered questions to gauge the adolescent's perceptions of their parents work and family lives. Kindergartner interviews were brief and focused on children's after-school and child care arrangements and time spent with parents.

Dating It Safe is a longitudinal cohort study of 1,042 youth in southeast Texas. Primarily freshmen high school students were recruited and assessed in the spring of 2010. Follow-up waves were collected annually each spring from 2011 through 2017 (Waves 2-8). The primary aims of this research study were to examine the:

• longitudinal association between the three different forms of teen dating violence (TDV; i.e., physical violence, psychological abuse, and sexual aggression), and
• risk and protective factors of TDV perpetration and victimization.

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.

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.

Since 1982, the World Health Organization (WHO) Regional Office for Europe has sponsored a cross-national, school-based study of health-related attitudes and behaviors of young people. These studies, generally known as Health Behavior in School-Aged Children (HBSC), are based on independent national surveys of school-aged children in more than 40 participating countries. The HBSC studies were conducted every four years since the 1985-1986 school year. The data available here are from the results of the United States survey conducted during the 2009-2010 school year. The files contain data on 12,642 students from 314 participating schools. Of the 314 participating schools a school administrator questionnaire was completed by 283 of them. The study results can be used as stand-alone data, or to compare with the other countries involved in the international HBSC.

The HBSC study has two main objectives. The first objective is to monitor health-risk behaviors and attitudes in youth over time to provide background data and to identify targets for health promotion initiatives. The second objective is to provide researchers with relevant information in order to understand and explain the development of health attitudes and behaviors through early adolescence.

The study contains questions dealing with many types of drugs such as tobacco, alcohol, marijuana, and other substances. Other topics include questions about family composition, the student's physical health, and other health behaviors and attitudes. Some of these topics include eating habits, dieting, physical activity, body image, health problems, and bullying. A school administrator also completed a survey concerning the school's programs and policies that affect students' health and the content of various health courses.

The Helping Young Smokers Quit (HYSQ) initiative was a multi-phase project that addressed the critical need to disseminate effective, developmentally appropriate cessation programs for young smokers. Phase I identified and described tobacco treatment programs available for youth in the United States, Phase II evaluated smoking secession programs tailored for youth to help understand what works, and Phase III identified factors associated with program sustainability. Phase II collected data from five sources: (1) program participants, (2) program providers, (3) program curricula, (4) organizational leaders, and (5) community leaders and community ordinances.

Program participants were interviewed at baseline, end-of program, 6-month follow-up, and 12-month follow-up. Topics covered by the interviews include age, gender, race, Hispanic origin, language spoken at home, employment, income, religiosity, school enrollment, education level, school grades, height, weight, extracurricular activities, recreation, sports, exercise, aspirations after high school, psychological well-being, alcohol consumption, cigarette use and use of other tobacco products, attitudes about smoking, plans to stop/continue smoking, attempts to quit smoking, reasons for participating in the program, topics/issues covered by the program, opinions about the program, and smoking experience since the beginning of the program. In addition, for each follow-up survey, the participants provided a breath sample for carbon monoxide analysis to validate self-reported quit status.

After the last session of each program delivery, the program providers, such as program leaders and cessation counselors, were interviewed about the content and delivery of the program and the reactions of the participants and themselves to the program as delivered. The program providers also kept attendance records.

Curriculum content was abstracted from program manuals and other materials used in each program.

Organizational leaders of the organizations that offered the programs were surveyed about various aspects of each organization, including the organization's smoking cessation program and the organization's mission, general operations, and smoking-related policies and practices.

Community-level information was collected in two ways: (1) interviews of community leaders representing local health departments, school boards, and juvenile justice offices, and (2) archival research of public ordinances relevant to tobacco and control policies.

Nine data files/datasets constitute the data. Datasets 1-4 contain the participant questionnaire data, carbon monoxide measurement data, and program attendance data. Dataset 5 comprises information about each program and its curriculum, some information about the community in which the program was located, and summary data about enforcement of tobacco-related ordinances. Dataset 6 contains information about about the program providers and each program delivery, including recruitment, logistics, content, and the reactions of providers and participants. Dataset 7 covers administrative aspects of the smoking cessation programs and each offering organization's mission, general operations, and smoking-related policies and norms. Dataset 8 contains information about local and state-level tobacco-related ordinances for every state and local jurisdiction where each program was located, and Dataset 9 condenses the information in Dataset 8 into one summary record for each community. The unit of observation for Datasets 1-4 is the participant, for Datasets 5 and 7 the smoking cessation program/offering organization, for Dataset 6 the program delivery/program cohort, for Dataset 8 the ordinance, and for Dataset 9 the community.

This data collection contains the first four waves of the Iowa Youth and Families Project (IYFP), conducted in 1989, 1990, 1991, and 1992. The Iowa Youth and Families Project was developed from an initial sample of 451 7th graders from two-parent families in rural Iowa. The study was merged with the Iowa Single Parent Project (ISPP) to form the Iowa Family Transitions Project in 1994, when the target youth were seniors in high school. Survey data were collected from the target child (7th grader), a sibling within four years of age of the target child, and both parents. Field interviewers visited families at their homes on several occasions to administer questionnaires and videotape interaction tasks including family discussion tasks, family problem-solving tasks, sibling interaction tasks, and marital interaction tasks.

The Household Data files contain information about the family's financial situation, involvement in farming, and demographic information about household members.

The Parent and the Child Survey Data files contain responses to survey questions about the quality and stability of family relationships, emotional, physical, and behavioral problems of individual family members, parent-child conflict, family problem-solving skills, social and financial support from outside the home, traumatic life experiences, alcohol, drug, and tobacco use, and opinions on topics such as abortion, parenting, and gender roles. In addition, the Child Survey Data files include responses collected from the target child and his or her sibling in the study about experiences with puberty, dating, sexual activity, and risk-taking behavior.

The Problem-Solving Data files contain survey data collected from respondents about the family interactions tasks.

The Observational Data files contain the interviewers' observations collected during these tasks.

Demographic variables include sex, age, employment status, occupation, income, home ownership, religious preference, frequency of religious attendance, as well as the ages and sex of all household members and their relationship to the head of household. Demographic information collected on the parents also includes their birth order within their family, the ages and political philosophy of their parents, the sex, age, education level, and occupation of their siblings, and the country of origin of their ancestors.

The Malawi Longitudinal Study of Families and Health (MLSFH) is one of very few long-standing longitudinal cohort studies in a poor Sub-Saharan African (SSA) context. It provides a record of more than 25 years of demographic, socioeconomic, and health conditions in one of the world's poorest countries. Initial data collection began in 1998 under the Malawi Diffusion and Ideational Change Project (MDICP) to examine social networks and fertility decisions among married women and their husbands. While this initial study population is still followed, the scope of the project and population expanded to a broader focus on social and contextual determinants of health across the lifecourse in Malawi.

This collection includes Rounds 1 through 9 of the MLSFH, as well as supplemental data collections from Sexual Diaries, Migration Follow-Ups (MHM), a Biomarker Survey, Adverse Childhood Experiences (ACE), and a Benefits of Knowledge Intervention Survey. The MLSFH Data web page contains additional information and cohort profiles for all MLSFH data collections, including those not made available through ICPSR-DSDR.

The National Comorbidity Survey Replication Adolescent Supplement (NCS-A) was designed to estimate the lifetime-to-date and current prevalence, age-of-onset distributions, course, and comorbidity of DSM-IV disorders in the child and adolescent years of life among adolescents in the United States; to identify risk and protective factors for the onset and persistence of these disorders; to describe patterns and correlates of service use for these disorders; and to lay the groundwork for subsequent follow-up studies that can be used to identify early expressions of adult mental disorders.

The core NCS-A interview schedule was an adaptation of the World Health Organization Composite International Diagnostic Interview (CIDI). NCS-A also administered the non-verbal subtest (Matrices subtest) of the Kaufman Brief Intelligence Test (K-BIT).

In addition to interviewing adolescents, information was collected from a parent or a parent surrogate to obtain an additional perspective on the adolescent's mental health and its correlates. Information from parents focused on the five adolescent disorders for which previous methodological research has most consistently shown that parental reports are important for making diagnoses: attention-deficit/hyperactivity disorder, conduct disorder, oppositional defiant disorder, major depressive episode, and dysthymic disorder.

Demographic information collected by NCS-A includes age, citizenship status, country of birth, criminal history, ethnicity, grandparents' country of birth, language(s) spoken in the home, parents' country of birth, race, religion, and sex.

The data collection contains six data files: (1) data for the adolescent household and school respondents; (2) data for the parents who responded to the long self-administered questionnaire; (3) data for the parents who responded to both the long self-administered questionnaire and short telephone interview; (4) diagnostic variables derived from the data collected from the adolescents and parents; (5) K-BIT scores normed to the NCS-A adolescent sample; and (6) raw K-BIT data.

Downloads of Add Health require submission of the following information, which is shared with the original producer of Add Health: supervisor name, supervisor email, and reason for download. A Data Guide for this study is available as a web page and for download.

The National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2018 [Public Use] is a longitudinal study of a nationally representative sample of U.S. adolescents in grades 7 through 12 during the 1994-1995 school year. The Add Health cohort was followed into young adulthood with four in-home interviews, the most recent conducted in 2008 when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships.

Add Health Wave I data collection took place between September 1994 and December 1995, and included both an in-school questionnaire and in-home interview. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, self-esteem, health status, risk behaviors, friendships, and school-year extracurricular activities. All students listed on a sample school's roster were eligible for selection into the core in-home interview sample. In-home interviews included topics such as health status, health-facility utilization, nutrition, peer networks, decision-making processes, family composition and dynamics, educational aspirations and expectations, employment experience, romantic and sexual partnerships, substance use, and criminal activities. A parent, preferably the resident mother, of each adolescent respondent interviewed in Wave I was also asked to complete an interviewer-assisted questionnaire covering topics such as inheritable health conditions, marriages and marriage-like relationships, neighborhood characteristics, involvement in volunteer, civic, and school activities, health-affecting behaviors, education and employment, household income and economic assistance, parent-adolescent communication and interaction, parent's familiarity with the adolescent's friends and friends' parents.

Add Health data collection recommenced for Wave II from April to August 1996, and included almost 15,000 follow-up in-home interviews with adolescents from Wave I. Interview questions were generally similar to Wave I, but also included questions about sun exposure and more detailed nutrition questions. Respondents were asked to report their height and weight during the course of the interview, and were also weighed and measured by the interviewer.

From August 2001 to April 2002, Wave III data were collected through in-home interviews with 15,170 Wave I respondents (now 18 to 26 years old), as well as interviews with their partners. Respondents were administered survey questions designed to obtain information about family, relationships, sexual experiences, childbearing, and educational histories, labor force involvement, civic participation, religion and spirituality, mental health, health insurance, illness, delinquency and violence, gambling, substance abuse, and involvement with the criminal justice system. High School Transcript Release Forms were also collected at Wave III, and these data comprise the Education Data component of the Add Health study.

Wave IV in-home interviews were conducted in 2008 and 2009 when the original Wave I respondents were 24 to 32 years old. Longitudinal survey data were collected on the social, economic, psychological, and health circumstances of respondents, as well as longitudinal geographic data. Survey questions were expanded on educational transitions, economic status and financial resources and strains, sleep patterns and sleep quality, eating habits and nutrition, illnesses and medications, physical activities, emotional content and quality of current or most recent romantic/cohabiting/marriage relationships, and maltreatment during childhood by caregivers. Dates and circumstances of key life events occurring in young adulthood were also recorded, including a complete marriage and cohabitation history, full pregnancy and fertility histories from both men and women, an educational history of dates of degrees and school attendance, contact with the criminal justice system, military service, and various employment events, including the date of first and current jobs, with respective information on occupation, industry, wages, hours, and benefits. Finally, physical measurements and biospecimens were also collected at Wave IV, and included anthropometric measures of weight, height and waist circumference, cardiovascular measures such as systolic blood pressure, diastolic blood pressure, and pulse, metabolic measures from dried blood spots assayed for lipids, glucose, and glycosylated hemoglobin (HbA1c), measures of inflammation and immune function, including High sensitivity C-reactive protein (hsCRP) and Epstein-Barr virus (EBV).

Wave V data collection took place from 2016 to 2018, when the original Wave I respondents were 33 to 43 years old. For the first time, a mixed mode survey design was used. In addition, several experiments were embedded in early phases of the data collection to test response to various treatments. A similar range of data was collected on social, environmental, economic, behavioral, and health circumstances of respondents, with the addition of retrospective child health and socio-economic status questions. Physical measurements and biospecimens were again collected at Wave V, and included most of the same measures as at Wave IV.

The overall goal of Wave VI was to better understand life course trajectories, determinants, and consequences of critical dimensions of aging, health, and health disparities among U.S. early midlife adults. Data collection took place from 2022 to 2025, with participants between the ages of 39 and 51, with an average age of 44. Beyond longitudinal survey measures, newly added questions included those on cumulative stress, discrimination, despair, work-life balance, memory, physical limitations, and caregiving. Continuing from previous waves, home exams collected physical measurements and biospecimens with most of the same measures as Wave V.

The National Survey of American Life Adolescent Supplement (NSAL-A), 2001-2004, was designed to estimate the lifetime-to-date and current prevalence, age-of-onset distributions, course, and comorbidity of DSM-IV disorders among African American and Caribbean adolescents in the United States; to identify risk and protective factors for the onset and persistence of these disorders; to describe patterns and correlates of service use for these disorders; and to lay the groundwork for subsequent follow-up studies that can be used to identify early expressions of adult mental disorders. In addition and similar to the NSAL adult dataset (Collaborative Psychiatric Epidemiology Surveys (CPES), 2001-2003 [United States] (ICPSR 20240)), the adolescent dataset contains detailed measures of health; social conditions; stressors; distress; racial identity; subjective, neighborhood conditions; activities and school; media; and social and psychological protective and risk factors. Numerous variables from the adult dataset have been merged into the adolescent dataset, as the NSAL adult and adolescent respondents reside in the same households. Some of these variables apply to the entire household (i.e. region, urbanicity, and family income), while others apply specifically to the NSAL adult respondent living in the adolescent's household (i.e. adult years of education, adult marital status, and adult nativity [foreign-born vs. US born]). The immigration measures were asked of Caribbean black adult respondents only. No comparable measures assess the immigration and generational status of the Caribbean black adolescent respondents. The adult dataset measures are merged into the adolescent dataset to assist in approximating these measures for adolescent respondents. The NSAL adolescent dataset also includes variables for other non-core and experimental disorders. These include tobacco use/nicotine dependence, premenstrual syndrome, minor depression, recurrent brief depression, hypomania, and hypomania sub-threshold. Demographic variables include age, race and ethnicity, ancestry or national origins, height, weight, marital status, income, and education level.

The National Survey of Children's Health, funded by the Maternal and Child Health Bureau (MCHB), is a module of the State and Local Area Integrated Telephone Survey (SLAITS) that is conducted by the National Center for Health Statistics (NCHS) at the Centers for Disease Control and Prevention (CDC).

The survey was conducted to assess how well each state, and the nation as a whole, met MCHB's strategic plan goals and national performance measures. These goals include providing national leadership for maternal and child health, promoting an environment that supports maternal and child health, eliminating health barriers and disparities, improving the health infrastructure and systems of care, assuring quality care, working with states and communities to plan and implement policies and programs to improve the social, emotional, and physical environment, and acquiring the best available evidence to develop and promote guidelines and practices to assure a social, emotional, and physical environment that supports the health and well-being of women and children.

The National Survey of Children's Health (NSCH) was designed to produce national- and state-specific prevalence estimates for a variety of physical, emotional, and behavioral health indicators and measures of children's experiences with the health care system. Respondents were asked an extensive battery of questions about the family, including parental health, stress and coping behaviors, family activities, and parental concerns about their children, as well as their perceptions of the child's neighborhood.

Demographic information includes race, gender, family income, and education level.

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

The specific research aims were as follows:

• Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

• Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

• Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

• Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

• Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

• Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

• Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

158 data files were compiled for this study and are organized into 4 main groups:

1. Analytical Data Sets (ADS)-- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables along with site differences were examined. A set of variables that was psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-19 of the study data material.

2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as supplements to the original Analytical Data Sets. These data files are Parts 20-26 of the study data material.

3. Raw Census-Related Data Sets -- Files were produced using geocoded addresses for survey respondents to match block group-level data from the 1990 and 2000 Censuses for investigators to create additional measures of interest from the geocoded addresses. These data files comprise Parts 27-30 of the study data material.

4. Raw Data Sets -- The raw data were made available and comprise Parts 31-158 of the study data material.

Included in this phase of the study are the output of several third-party software programs that were used during Phases II, III and IV to collect data for specific tasks or activities. These programs produced one output data file per subject, which were combined to produce some of the raw data files for those studies. The original program output is included as expanded documentation in this phase of the study.

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.