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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

The Future of Families and Child Wellbeing Study (FFCWS, formerly known as the Fragile Families and Child Wellbeing Study) follows a cohort of nearly 5,000 children born in large, U.S. cities between 1998 and 2000. The study oversampled births to unmarried couples; and, when weighted, the data are representative of births in large U.S. cities at the turn of the century. The FFCWS was originally designed to address four questions of great interest to researchers and policy makers:

1. What are the conditions and capabilities of unmarried parents, especially fathers?
2. What is the nature of the relationships between unmarried parents?
3. How do children born into these families fare?
4. How do policies and environmental conditions affect families and children?

The FFCWS consists of interviews with mothers, fathers, and/or primary caregivers at birth and again when children are ages 1, 3, 5, 9, 15, and 22. The parent interviews collected information on attitudes, relationships, parenting behavior, demographic characteristics, health (mental and physical), economic and employment status, neighborhood characteristics, and program participation. Beginning at age 9, children were interviewed directly (either during the home visit or on the telephone). The direct child interviews collected data on family relationships, home routines, schools, peers, and physical and mental health, as well as health behaviors.

A collaborative study of the FFCWS, the In-Home Longitudinal Study of Pre-School Aged Children (In-Home Study) collected data from a subset of the FFCWS Core respondents at the Year 3 and 5 follow-ups to ask how parental resources in the form of parental presence or absence, time, and money influence children under the age of 5. The In-Home Study collected information on a variety of domains of the child's environment, including: the physical environment (quality of housing, nutrition and food security, health care, adequacy of clothing and supervision) and parenting (parental discipline, parental attachment, and cognitive stimulation). In addition, the In-Home Study also collected information on several important child outcomes, including anthropometrics, child behaviors, and cognitive ability. This information was collected through interviews with the child's primary caregiver, and direct observation of the child's home environment and the child's interactions with his or her caregiver.

Similar activities were conducted during the Year 9 follow-up. At the Year 15 follow-up, a condensed set of home visit activities were conducted with a subsample of approximately 1,000 teens. Teens who participated in the In-Home Study were also invited to participate in a Sleep Study and were asked to wear an accelerometer on their non-dominant wrist for seven consecutive days to track their sleep (Sleep Actigraphy Data) and that day's behaviors and mood (Daily Sleep Actigraphy and Diary Survey Data).

An additional collaborative study collected data from the child care provider (Year 3) and teacher (Years 9 and 15) through mail-based surveys. Saliva samples were collected at Year 9 and 15 (Biomarker file and Polygenic Scores). The Study of Adolescent Neural Development (SAND) COVID Study began data collection in May 2020 following the onset of the COVID-19 pandemic. It included online surveys with the young adult and their primary caregiver.

The FFCWS began its seventh wave of data collection in October 2020, around the focal child's 22nd birthday. Data collection and interviews continued through January 2024. The Year 22 wave included a young adult (YA) survey with the original focal child and a primary caregiver (PCG) survey. Data were also collected on the children of the original focal child (referred to as Generation 3, or G3).

In 2017, the FFCWS team announced the Fragile Families (FF) Challenge, a collaborative effort in which participants were tasked with using machine learning methods and FFCWS data (Baseline to Year 9) to build a model that would predict six key outcomes at Year 15. Materials used in the FF Challenge have been archived in this collection.

Documentation for these files is available on the FFCWS website under Data and Documentation. For details of updates made to the FFCWS data files, please see the project's Data Alerts page.

Data collection for the Future of Families and Child Wellbeing Study was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations.

Below is the citation for use of the FFCWS data accessed through ICPSR. For information on additional citation requirements when using FFCWS in publications, please refer to this FAQ on the FFCWS project site.

China's dramatic economic and educational changes over the past 20 years have stimulated concerns about the education of children in rural areas. Recent empirical studies give evidence of growing disparities in educational opportunities between urban and rural areas and socio-economic and geographic inequities in basic-level educational participation within rural areas. These studies also point to a persisting gender gap in enrollment and to the disproportionate impact of poverty on girls' educational participation (Hannum 1998b; Zhang 1998). This study focused on the influence of poverty on the schooling of 11 to 14 year-old children in rural Gansu, an interior province in Northwest China characterized by high rates of rural poverty and a substantial dropout problem. Substantively, this study was innovative in adopting an integrated approach: it focused on the community, family, and school contexts in which children are educated. Methodologically, the study combined information on children's academic performance and school characteristics, with a household-based sample that allowed examination of the academic experiences of children who have left the education system as well as those who have persisted in it. Finally, the project was the baseline wave for the first large-scale, longitudinal study devoted to education and social inequality conducted in rural China. Results of this study contribute to an understanding of basic social stratification processes and provide insights for developing intervention strategies to improve educational access and effectiveness in rural China.

Wave 1 of this study (2000) has been archived and is available for download at ICPSR-DSDR. For information about Waves 2-4 (2004, 2007, 2009), please see the Gansu Survey of Children and Families Web site.

The Head Start Family and Child Experiences Survey (FACES) is a periodic, ongoing longitudinal study of program performance. Successive nationally representative samples of Head Start children, their families, classrooms, and programs provide descriptive information on the population of children and families served; staff qualifications, credentials, and opinions; Head Start classroom practices and quality measures; and child and family outcomes. FACES includes a battery of child assessments across multiple developmental domains (cognitive, social, emotional, and physical).

For nearly a decade, the Office of Head Start, the Administration for Children and Families, other federal agencies, local programs, and the public have depended on FACES for valid and reliable national information on (1) the skills and abilities of Head Start children, (2) how Head Start children's skills and abilities compare with preschool children nationally, (3) Head Start children's readiness for and subsequent performance in kindergarten, and (4) the characteristics of the children's home and classroom environments. The FACES study is designed to enable researchers to answer a wide range of research questions that are crucial for aiding program managers and policymakers. Some of the questions that are central to FACES include:

1. What are the demographic characteristics of the population of children and families served by Head Start? How has the population served by Head Start changed?
2. What are the experiences of families and children in the Head Start program? How have they changed?
3. What are the cognitive and social skills of Head Start children at the beginning and end of their first year in the program? Has Head Start program performance improved over time?
4. Do the gains in cognitive and social skills that Head Start children achieve carry over into kindergarten? Do larger gains (or greater declines in problem behavior) translate into higher achievement at the end of kindergarten?
5. What are the qualifications of Head Start teachers in terms of education, experience, and credentials? Are average teacher education levels rising in Head Start?
6. What is the observed quality of Head Start classrooms as early learning environments, including the level and range of teaching and interactions, provisions for learning, emotional and instructional support, and classroom organization? How has quality changed over time? What program- and classroom-level factors are related to observed classroom quality? How is observed quality related to children's outcomes and developmental gains?

FACES also supports analyses of subgroups of interest, such as children with disabilities, dual language learners, and children who are performing above or below average on standardized assessments. Its design changes in response to emerging policy and research questions. For example, in response to the growing concern about childhood obesity, measures of children's height and weight were introduced in FACES 2006.

Measures for FACES 2006 were selected to balance the need to support comparisons to previous cohorts of FACES (particularly with respect to program performance measures) against the need to update the measurement battery and address emerging policy issues and benefits from progress in the assessment field. Many of the measures used in FACES 2006 were included in previous cohorts and they are presented below by the five major measurement sources in FACES: (1) child direct assessments; (2) parent interviews; (3) teacher interviews and survey; (4) classroom observations; and (5) program director, center director, and education coordinator interviews.

1. The child direct assessments included the major components of school readiness. They included a language screener, the Peabody Picture Vocabulary Test, Fourth Edition/Test de Vocabulario de Imagines Peabody, subtests from the Woodcock-Johnson Tests of Achievement Third Edition/Bateria III Woodcock-Munoz (letter word identification, applied problems, spelling, and word attack), a measure of early math literacy based on items from the Early Childhood Longitudinal Study, Birth and Kindergarten Cohorts math assessments (geometry, patterns, and measurement), story and print concepts, and physical measurements (height and weight). At the end of the direct child assessment, interviewers rate the child's attention, organization/impulse control, activity level, and sociability using items from the Leiter-R scales.
2. The parent interview was designed to provide Head Start with a comprehensive understanding of the families that they serve, including the demographic characteristics of households and household members, parent-child relationships and the quality of the child's home life, and parent ratings of the child's behavior problems, social skills, and competencies, levels and types of participation in the program and in other community services.
3. The Head Start teacher interview was designed to collect information about classroom and teacher characteristics related to the quality of care provided by Head Start programs. Teachers were asked about their classroom activities and use of curricula, as well as their demographic and educational background and professional experience. They also used a Web survey to rate the social skills, problem behaviors, and competencies of each FACES child in their classroom. Kindergarten teachers provided information about schools attended by Head Start children, their classrooms and school experiences using a Web survey. They also completed ratings of each FACES child's social skills, behavior problems and competencies.
4. The classroom observations were designed to measure peer interactions and the extent to which Head Start programs employed skilled teachers and provided developmentally appropriate environments and curricula for their children. The measures used included the Early Childhood Environment Rating Scale-Revised (ECERS-R), the Arnett Scale of Lead Teacher Behavior, and the Instructional Support scale from the Classroom Assessment Scoring System (CLASS). Counts of children and adults were also taken to calculate group size and child-adult ratios.
5. The Program Director, Center Director, and Education Coordinator Interviews gathered information about staffing and recruitment, teacher education initiatives and training, waiting lists and program expansion, classroom activities, curriculum, overview of program management, and parent involvement.

The User Guide provides detailed information about the FACES 2006 study design, execution, and data to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices.

• Appendix A -- Copyright Statements
• Appendix B -- Instrument Content Matrices
• Appendix C -- Questionnaires
• Appendix D -- Center/Program Codebook
• Appendix E -- Classroom/Teacher Codebook
• Appendix F -- Child Codebook
• Appendix G -- Description of Constructed/Derived Variables

The Head Start Family and Child Experiences Survey (FACES) is a periodic, ongoing longitudinal study of program performance. Successive nationally representative samples of Head Start children, their families, classrooms, and programs provide descriptive information on the population of children and families served; staff qualifications, credentials, and opinions; Head Start classroom practices and quality measures; and child and family outcomes. FACES includes a battery of child assessments across multiple developmental domains (cognitive, social, emotional, and physical). FACES 2009 is the latest FACES cohort study and followed children from Head Start entry in fall 2009 through one or two years of program participation and to kindergarten.

For nearly a decade, the Office of Head Start, the Administration for Children and Families, other federal agencies, local programs, and the public have depended on FACES for valid and reliable national information on (1) the skills and abilities of Head Start children, (2) how Head Start children's skills and abilities compare with preschool children nationally, (3) Head Start children's readiness for and subsequent performance in kindergarten, and (4) the characteristics of the children's home and classroom environments. The FACES study is designed to enable researchers to answer a wide range of research questions that are crucial for aiding program managers and policymakers. Some of the questions that are central to FACES include:

1. What are the demographic characteristics of the population of children and families served by Head Start? How has the population served by Head Start changed?
2. What are the experiences of families and children in the Head Start program? How have they changed?
3. What are the cognitive and social skills of Head Start children at the beginning and end of their first year in the program? Has Head Start program performance improved over time?
4. Do the gains in cognitive and social skills that Head Start children achieve carry over into kindergarten? Do larger gains (or greater declines in problem behavior) translate into higher achievement at the end of kindergarten?
5. What are the qualifications of Head Start teachers in terms of education, experience, and credentials? Are average teacher education levels rising in Head Start?
6. What is the observed quality of Head Start classrooms as early learning environments, including the level and range of teaching and interactions, provisions for learning, emotional and instructional support, and classroom organization? How has quality changed over time? What program- and classroom-level factors are related to observed classroom quality? How is observed quality related to children's outcomes and developmental gains?

In response to recent trends and mandates, FACES 2009 expanded the information collected on families and children who speak a primary language other than English and the information collected on children who are homeless. Earlier cohorts of FACES gathered information on the languages spoken in the home and used for classroom instruction. Given the growth in the population of Hispanic/Latino preschoolers (Hernandez 2006), FACES 2009 placed additional emphasis on Dual Language Learners (DLLs). In addition, given the 2007 Head Start Act's focus on children and families who are homeless, FACES 2009 expanded coverage on the enrollment of such children, how the program ensures that they enroll in Head Start, and the special services available to such children and their families.

FACES 2009 carefully balanced the need for consistent measurement of outcomes against the need for improvements in instrumentation and techniques. In some instances, new instruments were added to obtain more comprehensive information on Head Start children. For example, the Expressive One-Word Picture Vocabulary Test was added to assess children's expressive language, which is related to later reading achievement even more so than receptive language (National Early Literacy Panel 2008). A measure of phonemic awareness from the Early Childhood Longitudinal Study-Birth Cohort (ECLS-B) preschool wave was also added to assess children's knowledge of beginning and ending sounds in words. Further, FACES 2009 included a direct assessment of executive functioning-a pencil tapping task to examine children's inhibitory control, working memory, and attention-which has been shown to relate to young children's development in mathematics, vocabulary, and literacy (Blair and Razza 2007; Espy et al. 2004; McClelland et al. 2007).

The User Guide provides detailed information about the FACES 2009 study design, execution, and data to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices.

• Appendix A - Copyright statements
• Appendix B - Instrument Content Matrices
• Appendix C - Questionnaires
• Appendix D - Center/Program Codebook
• Appendix E - Classroom/Teacher Codebook
• Appendix F - Child Codebook
• Appendix G - Description of Constructed/Derived Variables

A Data Guide for this study is available as a web page and for download. The India Human Development Survey 2005 (IHDS) is a nationally representative, multi-topic survey of 41,554 households in 1,503 villages and 971 urban neighborhoods across India. Two one-hour interviews in each household covered topics concerning health, education, employment, economic status, marriage, fertility, gender relations, and social capital. Children aged 8-11 completed short reading, writing and arithmetic tests. Additional village, school, and medical facility interviews are also available.

To access this data collection, please click on the Restricted Data button above. You will need to download and complete the data use agreement and then email it to [email protected]. The instructions are in the form.

This study was conducted at the Medical University of South Carolina over the span of one year to delineate the cause/effect relationship between neural output and the biomechanical functions being executed in walking in post-stroke patients. Kinematic, kinetic, and electromyography (EMG) data were collected from 27 post-stroke subjects and from 17 healthy control subjects. Each subject walked on a treadmill at their self-selected walking speed in addition to a randomized block design of four steady-state mobility capability tasks: walking at maximum speed, and walking at self-selected speed with maximum cadence, maximum step length, and maximum step height.

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 Social Life, Health and Aging Project (NSHAP) is the first population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships. The National Opinion Research Center (NORC), along with Principal Investigators at the University of Chicago, conducted more than 3,000 interviews during 2005 and 2006 with a nationally representative sample of adults aged 57 to 85. Face-to-face interviews and biomeasure collection took place in respondents' homes. The following files constitute Round 1: Core Data, Marital/Cohabiting History Data, Social Networks Data, Medications Data, and Sexual Partners Data.

Included in the Core file (Datasets 1 and 2) are demographic characteristics, such as gender, age, education, race, and ethnicity. Other topics covered respondents' social networks, social and cultural activity, physical and mental health including cognition, well-being, illness, medications and alternative therapies, history of sexual and intimate partnerships and patient-physician communication, in addition to bereavement items. In addition data was collected from respondents on the following items and modules: social activity items, physical contact module, sexual interest module, get up and go assessment of physical function and a panel of biomeasures including, weight, waist circumference, height, blood pressure, smell, saliva collection, taste, and a self-administered vaginal swab for female respondents. The Core file also contains a count of the total number of drugs taken, and a variable for each observed therapeutic category, indicating whether the respondent reported taking one or more medications in that category. These variables are derived from the information in the medications file, and thus are guaranteed to be consistent with it. The Marital/Cohabiting History file (Dataset 3) contains one record for each marriage or cohabitation identified in Section 3A of the questionnaire. The Social Networks file (Datasets 4 and 5) contains one record for each person identified on the network roster. Respondents who refused to participate in the roster or who did not identify anyone are not represented in this file. The Medications file (Dataset 6) contains one record for each item listed in the medications log (including alternative medicines and nutritional products). Respondents who did not report taking any medications or who refused to participate in this module are not represented in this file. Lastly, the Sexual Partners file (Dataset 7) contains one record for each sexual partner identified in Section 3A of the questionnaire.

NACDA also maintains a Colectica portal with the NSHAP Core data across rounds 1-3, which allows users to interact with variables across rounds and create customized subsets. Registration is required.

The National Social Life, Health and Aging Project (NSHAP) is the first population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships.

The National Opinion Research Center (NORC), along with Principal Investigators at the University of Chicago, conducted more than 3,000 interviews during 2005 and 2006 with a nationally representative sample of adults aged 57 to 85. Face-to-face interviews and biomeasure collection took place in respondents' homes. Round 2 interviews were conducted from August 2010 through May 2011, during which Round 1 Respondents were re-interviewed. An attempt was also made to interview individuals who were sampled in Round 1 but declined to participate. In addition, spouses or co-resident partners were also interviewed using the same instruments as the main respondents. This process resulted in 3,377 total respondents. The following files constitute Round 2: Core Data, Disposition of Round 1 Partner Data, Social Networks Data, Social Networks Update Data, Partner History Data, Partner History Update Data, Medications Data, Proxy Data, and Sleep Statistics Data.

Included in the Core files (Datasets 1 and 2) are demographic characteristics, such as gender, age, education, race, and ethnicity. Other topics covered respondents' social networks, social and cultural activity, physical and mental health including cognition, well-being, illness, history of sexual and intimate partnerships, and patient-physician communication, in addition to bereavement items. Data were also collected from respondents on the following items and modules: social activity items, physical contact module, sexual interest module, get up and go assessment of physical function, and a panel of biomeasures, including weight, waist circumference, height, blood pressure, smell, saliva collection, and taste.

The Disposition of Round 1 Partner files (Datasets 3 and 4) detail information derived from Section 6A items regarding the partner from Round 1 within the questionnaire. This provides a complete history for respondent partners across both rounds.

The Social Networks files (Datasets 5 and 6) contain one record for each person identified on the network roster. Respondents who refused to participate in the roster or who did not identify anyone are not represented in this file.

The Social Networks Update files (Datasets 7 and 8) detail respondents' current relationship status with each person identified on the network roster.

The Partner History file (Dataset 9) contains one record for each marriage, cohabitation, or romantic relationship identified in Section 6A of the questionnaire, including a current partner in Round 2 but excluding the partner from Round 1.

The Partner History Update file (Dataset 10) details respondents' current sexual partner information, as well as marital and cohabiting status.

The Medications Data file (Dataset 11) contains records for items listed in the medications log.

The Proxy Data files (Datasets 12 and 13) contain information from proxy interviews administered for Round 1 Respondents who were either deceased or whose health was too poor to participate in Round 2.

The Sleep Statistics Data files (Dataset 14 and 15) provide information on actigraphy sleep variables.

NACDA also maintains a Colectica portal with the NSHAP Core data across rounds 1-3, which allows users to interact with variables across rounds and create customized subsets. Registration is required.

The National Social Life, Health and Aging Project (NSHAP) is a population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships.

The National Opinion Research Center (NORC), along with Principal Investigators at the University of Chicago, conducted more than 3,000 interviews during 2005 and 2006 with a nationally representative sample of adults aged 57 to 85. Face-to-face interviews and biomeasure collection took place in respondents' homes. Round 3 was conducted from September 2015 through November 2016, where 2,409 surviving Round 2 respondents were re-interviewed, and a New Cohort consisting of adults born between 1948 and 1965 together with their spouses or co-resident partners was added. All together, 4,777 respondents were interviewed in Round 3. The following files constitute Round 3: Core Data, Social Networks Data, Disposition of Returning Respondent Partner Data, and Proxy Data.

Included in the Core files (Datasets 1 and 2) are demographic characteristics, such as gender, age, education, race, and ethnicity. Other topics covered respondents' social networks, social and cultural activity, physical and mental health including cognition, well-being, illness, history of sexual and intimate partnerships and patient-physician communication, in addition to bereavement items. In addition data on a panel of biomeasures including, weight, waist circumference, height, and blood pressure was collected. The Social Networks (Datasets 3 and 4) files detail respondents' current relationship status with each person identified on the network roster. The Disposition of Returning Respondent Partner (Datasets 5 and 6) files detail information derived from Section 6A items regarding the partner from Rounds 1 and 2 within the questionnaire. This provides a complete history for respondent partners across both rounds. The Proxy (Datasets 7 and 8) files contain final health data for Round 1 and Round 2 respondents who could not participate in NSHAP due to disability or death.

The COVID-19 sub-study, administered to NSHAP R3 respondents in the Fall of 2020, was a brief self-report questionnaire that probed how the coronavirus pandemic changed older adults' lives. The COVID-19 sub-study questionnaire was limited to assessing specific domains in which respondents may have been affected by the coronavirus pandemic, including: (1) COVID experiences, (2) health and health care, (3) job and finances, (4) social support, (5) marital status and relationship quality, (6) social activity and engagement, (7) living arrangements, (8) household composition and size, (9) mental health, (10) elder mistreatment, (11) health behaviors, and (12) positive impacts of the coronavirus pandemic. Questions about engagement in racial justice issues since the death of George Floyd in police custody were also added to facilitate analysis of the independent and compounding effects of both the COVID-19 pandemic and reckoning with longstanding racial injustice in America.

The Relationship Dynamics and Social Life (RDSL) Study aims to investigate the types of romantic relationships that produce early and/or unintended pregnancies. The study is based on a representative sample of 1,003 women aged 18 to 22 residing in Genesee County, Michigan. The research team focused on women ages 18 to 22 because these ages are characterized by the highest rates of unintended pregnancy, as well as significant instability and change in the dynamic determinants of unintended pregnancy.

Data collection for the baseline survey was conducted March 2008 through July 2009, and consisted of a 60-minute face-to-face interview to gather information on respondent attitudes and behaviors, intimate and familial relationships, contraceptive use, reproductive history, self-reported height and weight, and socio-demographic characteristics.

The baseline survey was followed by a series of three supplemental surveys administered over a two-and-a-half year period between May 2009 and August 2011. These surveys covered a wide range of topics, including family living arrangements, socioeconomic status, employment, media consumption, mental health, violence, personality traits, assumptions and knowledge regarding various forms of contraception, and attitudes and opinions about social life. The second major component of the RDSL features journal data collected concurrently with the supplemental surveys. The focus of the journal data collection was to gather dynamic, prospective measurements of pregnancy desires and contraceptive use, as well as relationship attributes such as commitment, sexual intimacy, and decision-making regarding contraception. Please consult the crosswalk to determine which level of restriction is required for research.

Demographic information collected includes respondent age, race, ethnicity, religious affiliation, marital status, education, employment status, income, and household size and composition.

The Relationship Dynamics and Social Life (RDSL) Study aims to investigate the types of romantic relationships that produce early and/or unintended pregnancies. The study is based on a representative sample of 1,003 women aged 18 to 22 residing in Genesee County, Michigan. The research team focused on women ages 18 to 22 because these ages are characterized by the highest rates of unintended pregnancy, as well as significant instability and change in the dynamic determinants of unintended pregnancy.

Data collection for the baseline survey was conducted March 2008 through July 2009, and consisted of a 60-minute face-to-face interview to gather information on respondent attitudes and behaviors, intimate and familial relationships, contraceptive use, reproductive history, and socio-demographic characteristics.

The baseline survey was followed by a series of three supplemental surveys administered over a two-and-a-half year period between May 2009 and August 2011. These surveys covered a wide range of topics, including family living arrangements, socioeconomic status, employment, media consumption, mental health, violence, personality traits, assumptions and knowledge regarding various forms of contraception, and attitudes and opinions about social life. The second major component of the RDSL features journal data collected concurrently with the supplemental surveys (please see ICPSR 34626 to access the journal component description and datasets). Please consult the crosswalk to determine which level of restriction is required for research.

Demographic information collected for the baseline and supplemental surveys includes respondent age, race, ethnicity, religious affiliation, marital status, education, employment status, income, and household size and composition.

Placental malaria is associated with maternal illness and anemia, low birth weight, and preterm birth. Mali has one of the highest malaria case incidence rates globally, according to World Health Organization (WHO) reports on malaria. Using a rural to urban longitudinal cohort of women who initially resided on the Bandiagara Escarpment at study enrollment, this observational study addressed the following questions:

1. Was risk for placental malaria higher in Bamako (urban) or on the Bandiagara Escarpment (rural)?
2. What were the maternal risk factors for placental malaria in this cohort?
3. What was the association between number of intermittent preventative treatment in pregnancy with sulfadoxine-pyrimethamine (IPTp-SP) doses, placental malaria, and birth outcomes?
4. What factors predicted how many doses women received?

Placental samples (N = 317) and accompanying demographic data were collected from 249 women living on the Bandiagara Escarpment or in the District of Bamako during the years 2011 to 2019. Samples were evaluated by histology to assess placental malaria infection stage and parasite density. Generalized estimating equations (GEE) for logistic regression were used to model the risk factors for placental malaria infection (yes/no) and to assess the characteristics of women who had no doses or fewer doses of SP versus 3 or more doses of SP during pregnancy. Lastly, GEE was used to model birth outcomes as continuous dependent variables (birth weight, birth length, and placenta weight).

The Sacramento Area Latino Study on Aging (SALSA Study) was a longitudinal cohort study of 1,789 community-dwelling Mexican Americans residing in California's Sacramento Valley who were aged 60-101 years at baseline in 1998-1999. Participants were followed every 12-15 months via home visits that included clinical and cognitive assessments. A semiannual phone call was made to obtain updates on medications, health events, and some sociodemographic risk factors. This study, Semi-Annual Phone Call Data, contains data from the six-month follow-up calls of the SALSA project.

The SALSA project tracked the incidence of physical and cognitive impairment as well as dementia and cardiovascular diseases in elderly Latinos in the Sacramento, California region. The SALSA project aimed to assess cognitive, physical, and social functions, which include the ability to follow instructions, to perform certain movements, and to interact with others. The project explored the effects that cultural, nutritional, social, and cardiovascular risk factors have on overall health and dementia, and examined the association between diabetes and functional status.

Demographic information collected in these data includes language and age given at follow-up visits.