This item contains Population Health Messaging TV Ad Data (2012 & 2016). There is a Stata 13 file and an SPSS file. These data are at the ad level, meaning each row is a unique ad. If you want information on when and where the ads aired, or the ads' video files, you'll need to purchase the ad files for the 2012 & 2016 cycles separately.

Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/.

This item is part of the project Population Health Messaging TV Ad Data (2012 & 2016).

In 2023, the home health care services industry in the United States spent approximately *** million U.S. dollars on advertising, up from ***** million dollars a year earlier. That represents an annual increase of roughly nine percent.

This item contains 2013-2018 Health Insurance TV Ad Airing Data v1.0. Includes SPSS and Stata 13 files.

Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/.

This item is part of the project Health Insurance TV Advertising 2013-2018.

The expenditure on digital static display advertising of the healthcare category in Ireland in 2021 increased by *** million U.S. dollars (***** percent) since the previous year. With **** million U.S. dollars, the advertising spending thereby reached its highest value in the observed period.For more insights about advertising in Ireland: In 2021, in comparison to the ad expenditure of the healthcare category on internet, the ad expenditure of the healthcare category on outdoor was lower and on magazines it was considerably lower.

Andorra AD: Current Health Expenditure: % of GDP data was reported at 7.928 % in 2023. This records an increase from the previous number of 7.537 % for 2022. Andorra AD: Current Health Expenditure: % of GDP data is updated yearly, averaging 6.786 % from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 8.787 % in 2020 and a record low of 4.923 % in 2007. Andorra AD: Current Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Social: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.;World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 4, 2025.;Weighted average;

Andorra AD: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2023. This records an increase from the previous number of 0.001 USD mn for 2022. Andorra AD: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 0.001 USD mn in 2023 and a record low of 0.000 USD mn in 2000. Andorra AD: Domestic Private Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Social: Health Statistics. Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.;World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 4, 2025.;Weighted average;

Andorra AD: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 10.981 % in 2023. This records an increase from the previous number of 8.845 % for 2022. Andorra AD: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 13.222 % from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 18.000 % in 2007 and a record low of 8.845 % in 2022. Andorra AD: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Social: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.;World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 4, 2025.;Weighted average;

Andorra AD: External Health Expenditure: % of Current Health Expenditure data was reported at 0.000 % in 2018. This stayed constant from the previous number of 0.000 % for 2017. Andorra AD: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2018, with 19 observations. The data reached an all-time high of 0.000 % in 2018 and a record low of 0.000 % in 2018. Andorra AD: External Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Social: Health Statistics. Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.;World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 4, 2025.;Weighted average;

Andorra AD: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.002 Intl $ mn in 2023. This records an increase from the previous number of 0.001 Intl $ mn for 2022. Andorra AD: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 0.002 Intl $ mn in 2023 and a record low of 0.001 Intl $ mn in 2000. Andorra AD: Domestic Private Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Social: Health Statistics. Current private expenditures on health per capita expressed in international dollars at purchasing power parity.;World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 4, 2025.;Weighted average;

Longitudinal study of pre-symptomatic Alzheimer's Disease. Longitudinal data from 348 participants are available. This includes multi-modal MRI images, neuropsychological tests, neurosensory assessments, general medical history, genetics and cerebrospinal fluid proteins levels.

RNA-seq sequencing data. Visit https://dataone.org/datasets/sha256%3A3beb7e1f5dde850aaf613589a726ce782a8f1369b3d6b14b768682744a4f0c9c for complete metadata about this dataset.

In the first half of 2023, Dr. Theiss Gruppe increased its advertising spending in the health and pharmaceuticals sector in Germany by ** million euros. On the other hand, Betterlife Healthcare decreased its ad expenditure on the health and pharma industry in the country by ** million.

Packages of care for AD/HD.

Full edition for scientific use. In addition to the core variables of the Microcensus Labour Force Survey (LFS), the LFS also has so-called ad-hoc-modules (AHM) that can vary from year to year. The EU-LFS ad-hoc-module 2020 on ‘Accidents at work and other work-related health problems’ is divided into three submodules: accidents at work, work-related health problems, exposure to risk factors for physical and mental well-being. All persons aged 15 and over, who were working or who had worked in the past were interviewed. The questions of the ad-hoc-module were asked following the questions of the basic programme. The dataset also includes all questions of the main survey of the Microcensus 2020.

Andorra AD: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2018. This stayed constant from the previous number of 0.000 Intl $ mn for 2017. Andorra AD: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2018, with 19 observations. The data reached an all-time high of 0.000 Intl $ mn in 2018 and a record low of 0.000 Intl $ mn in 2018. Andorra AD: External Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Social: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.;World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 4, 2025.;Weighted average;

Longitudinal research into health and growth of adolescents. The study up till now contains data from measurements in 1976-1979, 1985, 1991, 1993, 1996 and 1997. The longitudinal group consisted at the start of 307 pupils (age cohorts 1962, 1963 and 1964) from one school for secondary education in Amsterdam, of which 233 completed the first four years of the study. At the first four years a control group of 292 pupils from a comparable school near Amsterdam were studied. In 1985 200 pupils from the longitudinal group were remeasured, their number dropping slowly afterwards. In 1996 control-group subjects were invited for measurement again and this will continue in future. Measurements fell broadly into five categories: 1. Physical measurements of body build, body growth and body composition 2. Physiological measurements of functional and performance characteristics 3. Psychological measurements of personality traits 4. Lifestyle measurements, concerning dietary habits, habitual physical activity, psychosocial behaviour and stress 5. Health measurements, concerning both physical and mental aspects. ad 1. Physical measurements: height / weight / bone diameter / skinfold thickness / circumference / fat mass / skeletal age / curvature of thoracolumbar spine / bone mineral content. ad 2. Physiological measurements: motor performance fitness test / strength / speed / flexibility / aerobic endurance / maximal aerobic power and maximal isokinetic muscle power / treadmill running / cardiovascular measurement / ventilation, respiration, oxygen uptake and carbon dioxide production / maximal isokinetic torque / blood pressure / lung function / analysis of blood (cholesterol) , urine (catecholamines, drug use) and saliva (immoglobulin A). ad 3. Psychological measurements: Dutch Personality Inventory (inadequacy / social inadequacy / rigidity / self-sufficience / dominance) / Achievement motivation test (achievement motivation / debilitating anxiety / facilitating anxiety / social desirability) / sociometric status. ad 4. Lifestyle: Habitual food intake / parents dietary questionnaire / smoking / alcohol intake / habitual physical activity / sports injuries / psychosocial behaviour and stress / coronary-prone behaviour pattern / coping style / life events / daily hassles. ad 5. Health measurements: mental health: mild health complaints, sleep-wake problems, vital exhaustion, inadequacy / physical health: back pain, health questionnaire. The study contains at present some 185 files with varying numbers of cases and variables. Detailed information at the file level is available on request. Background variables: basic characteristics/ household characteristics/ characteristics of parental family/household/ occupation/employment/ income/capital assets/ education/ organizational membership.

The expenditure on digital static display advertising of the healthcare category in the Netherlands increased by **** million U.S. dollars (***** percent) in 2021 in comparison to the previous year. With ***** million U.S. dollars, the advertising spending thereby reached its highest value in the observed period. For more insights about advertising in the Netherlands: In 2021, in comparison to the ad expenditure of the healthcare category on internet, the ad expenditure of the healthcare category on magazines as well as on outdoor was considerably lower.

Women make up approximately 15% of today’s active duty (AD) military. Not only are more women volunteering for military service now than ever before in America’s history, but due to recent policy changes, they are also allowed to apply for more jobs. Therefore, since the number of women in the military is continuing to rise and there are more job opportunities for women in the military, it is important to understand the unique health effects they experience that differ from civilian women and AD males. Although there is current literature on the biological, psychological, social, and spiritual health of veteran women, few researchers have explored the biopsychosocial–spiritual effects of military service on AD women. Thus, the purpose of this systematic review was to explore the existing research on the biopsychosocial–spiritual health factors associated with military service in AD women. The results of this study indicated that there is more data on the biological health compared to the psychological and social health of AD women. There is even less research demonstrating the interconnectedness among biological, psychological, social, and spiritual health with AD women. Future research recommendations and policy implications are provided.

Descriptive statistics (N = 152,373).

Full edition for scientific use. In addition to the core variables of the Microcensus Labour Force Survey (LFS), the LFS also has so-called ad-hoc-modules (AHM) that can vary from year to year. The EU-LFS ad-hoc-module 2013 on ‘Accidents at work and other work-related health problems’ is divided into three submodules: accidents at work, work-related health problems, exposure to risk factors for physical and mental well-being. All persons aged 15 and over, who were working or who had worked in the past were interviewed. The questions of the ad-hoc-module were asked following the questions of the basic programme. The dataset also includes all questions of the main survey of the Microcensus 2013.