The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. Participants are selected via a random sampling method. The survey is unique in that it combines interviews and physical examinations. The NHANES interview includes demographic, socioeconomic, dietary, and health-related questions. The examination component consists of medical, dental, and physiological measurements, as well as laboratory tests administered by highly trained medical personnel.

The Medical Expenditure Panel Survey (MEPS) is a set of large-scale surveys of families and individuals, their medical providers (doctors, hospitals, pharmacies, etc.), and employers across the United States. MEPS collects data on the specific health services that Americans use, how frequently they use them, the cost of these services, and how they are paid for, as well as data on the cost, scope, and breadth of health insurance held by and available to U.S. workers. The two major components of MEPS are the Household Component and the Insurance Component.

The Global Health Expenditure Database (GHED) provides internationally comparable data on health spending for close to 190 countries. The database is open access and supports the goal of Universal Health Coverage by helping monitor the availability of resources for health and the extent to which they are used efficiently and equitably. This, in turn, helps ensure health services are available and affordable when people need them...WHO works collaboratively with Member States and updates the database annually using available data such as government budgets and health accounts studies. Where necessary, modifications and estimates are made to ensure the comprehensiveness and consistency of the data across countries and years. GHED is the source of the health expenditure data republished by the World Bank and the WHO Global Health Observatory. (from website)

Data were extracted from a review of computerized administrative claims for 15,507 Medicaid youth in an effort to assess differences in rates of mental health treatment for enrollees in one of 3 categories of aid. The study population consisted of individuals aged 0-19 years residing in a suburban county in a mid-Atlantic state during 1996 and enrolled in the fee-for-service Medicaid program. Mental health services were analyzed and compared for youth in foster care, receiving Supplemental Security Income (SSI), and all other forms of assistance such as Aid to Families with Dependent Children (AFDC). The dataset includes demographic information, type of mental health services provided, mental disorder diagnoses (in 15 subcategories), as well as psychotropic and certain nonpsychotropic medications prescribed.

This dataset was created to understand the mechanisms through which social capital shaped the community response to the coronavirus pandemic on the island of Menorca, Spain. Data was collected through qualitative interviews of 25 permanent residents of the island between April and June of 2020. The age range of the participants was between 26 to 89 years old. The semi-structured interview guide had questions about pre-pandemic and pandemic emergency response and recovery events. Questions were developed to capture information on different indicators, including emergent forms of social capital, dark sides of social capital and trust.

This study generated a replicable neighborhood-level physical activity location availability score (PALAS) from data variables associated with physical activity among adolescents. This score was used to determine if a relationship exists between PA and PA location availability in Baltimore City, Maryland. Nine PALAS component variables were applied to 218 locations. Private PA location variables were created in 2014 through a double-blind research procedure using pre-identified search terms in Google Maps. All other variables were obtained, compiled, and modified from existing digital spatial data layers, spanning 2010-2013 from the Capital Improvement office inventories at the Baltimore City Department of Recreation and Parks. 555 adolescent girls were recruited from 22 Baltimore city public schools serving predominantly low-income communities to participate in a health promotion study between 2009 and 2012. Height was measured using a portable stadiometer and weight was measured using the TANITA TBF-300 body composition scale. Gender-specific BMI-for-age percentiles were generated using CDC 2000 growth indices. An Actical accelerometer was used to track activity for at least 7 consecutive days. Home addresses were geocoded using ArcGIS software by ESRI.

This dataset represents a comparison of polypharmacy among youth with serious emotional and behavioral disorders enrolled in coordinated care services (CCS) versus those receiving traditional mental health services. Data were extracted from Medicaid administrative claims (demographic, diagnosis by ICD-9 code, procedure codes, and psychotropic medication), child welfare administrative records, and juvenile justice records. The final analytic sample included a total of 814 CCS youths and 993 in the traditional care cohort.

This dataset was used to support a study investigating potential connections between mental health symptoms and biomarkers of inflammation in HIV infected subjects. Data was collected from 407 HIV-positive patients on antiretroviral therapy in the Dar es Salaam, Tanzania area from March to May of 2018. Data was collected though a survey that utilized the World Health Organisation's STEPwise approach for noncommunicable diseases surveillance as well as through anthropometric measurements, review of medical records, blood pressure assessments, and biochemical assessment of biomarkers in blood samples.

An institutional-based cross-sectional study was conducted to assess the prevalence of self-reported symptoms of depression, anxiety, and stress during the COVID-19 pandemic among 846 healthcare workers (HCWs) in central Ethiopia. From June 25, 2020, to July 25, 2020, an online survey was administered to collect self-reported data using the Depression, Anxiety, and Stress Scale (DASS-21). Data were cleaned, coded, and analysed using SPSS Version 23. A multivariable logistic regression analysis was done to identify the associated factors for mental health outcomes at a p-value of less than 0.05.

The Global Health Data Exchange (GHDx) is a catalog that provides relevant data on population health. The catalog contains surveys, censuses, vital statistics, and other health-related data. The GHDx was created by the Institute for Health Metrics and Evaluations (IHME), an independent global health research center at the University of Washington. The GHDx is a place where information about data is brought together, discussed, and featured in the context of health and demographic research. The GHDx raises awareness about different groups collecting data worldwide and provides standardized citations to encourage appropriate acknowledgment of data owners’ contributions.