This fact sheet uses the 2023 Gambling Module of the California Health Interview Survey (CHIS) data to examine gambling in California and associated health behaviors and risks to inform future regulatory approaches and public health interventions.
This fact sheet uses the 2023 Gambling Module of the California Health Interview Survey (CHIS) data to examine gambling in California and associated health behaviors and risks to inform future regulatory approaches and public health interventions.
A recent analysis of health insurance effects in the U.S. reveals that while average health improvements are inconsistent, certain subgroups experience significant benefits.
A recent analysis of health insurance effects in the U.S. reveals that while average health improvements are inconsistent, certain subgroups experience significant benefits.
Authors investigate health insurance generated improvements in cardiovascular risk factors (blood pressure and hemoglobin levels) for identifiable subpopulations and use machine learning to identify characteristics of people predicted to benefit highly.
Authors investigate health insurance generated improvements in cardiovascular risk factors (blood pressure and hemoglobin levels) for identifiable subpopulations and use machine learning to identify characteristics of people predicted to benefit highly.
This study aimed to identify the prevalence of contraceptive use and its pattern in Asian American women with a focus on different Asian ethnic subgroups. Data on demographics, self-rated health, contraceptive use, and related information were collected from women ages 18–44 years who were at risk of unintended pregnancy.
This study aimed to identify the prevalence of contraceptive use and its pattern in Asian American women with a focus on different Asian ethnic subgroups. Data on demographics, self-rated health, contraceptive use, and related information were collected from women ages 18–44 years who were at risk of unintended pregnancy.
This policy brief utilizes pooled data from the Gun Violence module of the 2021 and 2022 CHIS to provide information about risks and fear of firearm victimization among LGBT populations in California.
This policy brief utilizes pooled data from the Gun Violence module of the 2021 and 2022 CHIS to provide information about risks and fear of firearm victimization among LGBT populations in California.
This report examines health disparities among some of California's diverse Asian communities, highlighting differences in health outcomes, access to care, and social drivers of health. This study used data from the 2021 California Health Interview Survey.
This report examines health disparities among some of California's diverse Asian communities, highlighting differences in health outcomes, access to care, and social drivers of health. This study used data from the 2021 California Health Interview Survey.
This brief uses pooled data from the 2021 and 2022 CHIS to provide a snapshot of the adult LEP population in California, including their demographic characteristics, access to care, health outcomes, and challenges faced when communicating with providers.
This brief uses pooled data from the 2021 and 2022 CHIS to provide a snapshot of the adult LEP population in California, including their demographic characteristics, access to care, health outcomes, and challenges faced when communicating with providers.
Authors used data from the 2021 CHIS to analyze the association between respondent characteristics and self-report of negative mental health effects following exposure to extreme weather events.
Authors used data from the 2021 CHIS to analyze the association between respondent characteristics and self-report of negative mental health effects following exposure to extreme weather events.
Data were from a 2013–2014 population-based case-control study in the San Francisco Bay Area, U.S. Survey items were adapted from dietary acculturation scales developed for AANHPI populations.
Data were from a 2013–2014 population-based case-control study in the San Francisco Bay Area, U.S. Survey items were adapted from dietary acculturation scales developed for AANHPI populations.
Demographic information and pharyngeal images were collected from patients who visited 64 primary care clinics in Japan for influenza-like symptoms. Authors trained a deep learning-based classification model to predict reported sex on 20,319 images from 51 clinics.
Demographic information and pharyngeal images were collected from patients who visited 64 primary care clinics in Japan for influenza-like symptoms. Authors trained a deep learning-based classification model to predict reported sex on 20,319 images from 51 clinics.