This dataset contains statistics regarding the population exposed to tobacco, foods or overweight/obesity for country members and partners of OECD (The Organization for Economic Co-operation and Development) and for countries in accession negotiations with OECD. The exposure levels to health risk or protection factors statistics cover the period 1960-2018.

Estimated number of males/females/people aged 18 years and over whose health was at risk in one of the following categories: psychologically distressed, blood pressure, overweight, obesity, waist measurement, smoking, alcohol consumption, fruit consumption and no or low exercise, 2014-15 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS; estimates at the LGA and PHN level were derived from the PHA estimates.

This statistic shows selected health conditions and risk factors in the U.S. in 1988-1994 and 2017-2018. In 1988-1994, the risk factor of obesity among persons 20 years of age and older was 22.9 percent.

This dataset, released January 2020, contains for the years 2017-2018 the Estimated number of people aged 18 years and over with high or very high psychological distress based on the Kessler 10 Scale; Estimated number of people aged 18 years and over who had high blood pressure, overweight and obesity; Smoking (modelled estimates); Alcohol: lifetime risky drinking (modelled estimates); Fruit consumption (modelled estimates); Exercise (modelled estimates). The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS; estimates at the LGA and PHN level were derived from the PHA estimates. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.

In 2013 and subsequently, one question in the core of Behavioral Risk Factor Surveillance System (BRFSS) asks about vision: Are you blind or do you have serious difficulty seeing, even when wearing glasses? From 2011-2022 the BRFSS employed a ten question vision module regarding vision impairment, access, and utilization of eye care, and self-reported eye diseases. This dataset shows the results of that survey.

This dataset, released May 2017, contains for the years 2014-15 the Estimated number of people aged 18 years and over with high or very high psychological distress based on the Kessler 10 Scale; Estimated number of people aged 18 years and over who had high blood pressure; Overweight, obesity and waist measurement (modelled estimates); Smoking (modelled estimates); Alcohol: lifetime risky drinking (modelled estimates); Fruit consumption (modelled estimates); Exercise (modelled estimates). The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible. For more information please see the data source notes on the data. Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS;estimates at the LGA and PHN level were derived from the PHA estimates. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

The chart reveals the prevalence of health risk factors among Italians. Smoking rates in Italy have decreased since 2000, but one in five adults still smoked daily in 2017. Obesity, generally caused by bad dietary habits and lack of appropriate physical activity, reached 11 percent in 2017. On a more positive note, the proportion of adults who reported episodic heavy drinking was relatively low.

The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the adult population living in private residences or college housing who have either a landline or cellular telephone, aged 18 years and older. Adults living in group homes or congregate settings are excluded from the survey. Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available. For more information see: http://www.health.ny.gov/statistics/brfss/

This dataset, released May 2017, contains data pertaining to Overweight and obesity (children) (modelled estimates), 2014-15; Fruit consumption (children) (modelled estimates), 2014-15. The data is by Local Government Area (LGA) 2016 geographic boundaries.

For more information please see the data source notes on the data.

Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS;estimates at the LGA and PHN level were derived from the PHA estimates.

AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

This data package contains dataset on prevalence rates of health conditions and diseases like obesity, diabetes and hearing loss and health risk factors for diseases like tobacco, alcohol and drug use.

The 2011 BRFSS data reflects a change in weighting methodology (raking) and the addition of cell phone only respondents. Shifts in observed prevalence from 2010 to 2011 for BRFSS measures will likely reflect the new methods of measuring risk factors, rather than true trends in risk-factor prevalence. A break in trend lines after 2010 is used to reflect this change in methodolgy. Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements. For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm. Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].

2011 to 2012. BRFSS SMART County Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct

This dataset, released January 2020, contains data pertaining to Overweight and obesity (children) (modelled estimates), 2017-2018; Fruit consumption (children) (modelled estimates), 2017-18. The data is by Local Government Area (LGA) 2016 geographic boundaries.

For more information please see the data source notes on the data.

Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS; estimates at the LGA and PHN level were derived from the PHA estimates.

AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

This dataset presents the footprint of the crude percentage of adults who have high blood pressure. High blood pressure (or hypertension), is defined as including any of the following; systolic blood pressure greater than or equal to 140 mmHg, or; diastolic blood pressure greater than or equal to 90 mmHg, or; receiving medication for high blood pressure. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial year of 2014-2015 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).

Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery.

For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables.

Please note:

• AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

• The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences.

• Adults are defined as persons aged 18 years and over.

• Values assigned to "n.p." in the original data have been removed from the data.

• Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings.

This data set contains 2011 to present. BRFSS SMART MMSA Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: http://apps.nccd.cdc.gov/BRFSSQuest/index.asp

The dataset contains counts, rates, and measures of association between select risk factors and administratively identified maternal sepsis among live births during the pregnancy, delivery, and postpartum windows between 2016 and 2018.

Maternal sepsis is a leading cause of maternal mortality in the United States and is associated with increased rates of preterm labor, preterm delivery and fetal infection and maternal chronic pain and fertility problems.

Live births were identified from administrative coding of SPARCS acute care hospital claims between January 1, 2016 and December 31, 2018. Sepsis events were identified from SPARCS claims linked to these live birth events through a maternal identifier and occurring during pregnancy, delivery or within 42 days postpartum. Counts, rates, and measures of association are calculated within each of these thee windows separately.

Sepsis events are quantified for ‘Any Sepsis’ and ‘Severe Sepsis/Septic Shock’ (a subset of ‘Any Sepsis’).

Risk factors are captured using administrative coding from all SPARCS claims data available for each live birth during pregnancy or delivery, or from a linked birth certificate, when available.

Counts, rates, and measures of association are presented for each risk factor and maternal sepsis in the specified window for all eligible statewide live births between 2016 and 2018.

The Behavioral Risk Factor Surveillance System (BRFSS) is a state-based system of health surveys that collects information on health risk behaviors, preventive health practices, and health care access primarily related to chronic disease and injury. For many states, the BRFSS is the only available source of timely, accurate data on health-related behaviors.

The Prevalence and Trends Health Care Access documentation provides technical and statistical information regarding the Behavioral Risk Factor Surveillance System (BRFSS) responses as to the access and coverage to health care of people in the US.

The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the non-institutionalized adult household population, aged 18 years and older. Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available. For more information, check out http://www.health.ny.gov/statistics/brfss/.