In the United States (U.S.), currently more than 40% of adults have obesity. This high prevalence presents great concern to demographers because of the potential consequences obesity holds for population health trajectories in morbidity and mortality and individuals' well-being. Primary care providers are critical for managing chronic health conditions, including obesity. This makes it vital to understand whether and how weight shapes primary care use in the U.S. We make this contribution by investigating how obesity is related to annual visits with two of the most common primary healthcare providers used by U.S. men and women- general physicians and gynecologists. Analysis of data from National Health Interview Survey (2010-2018) participants suggests that obesity and overweight are positively associated with annual physician visits among both men and women, with men with class II and III obese having significantly higher odds of annual physician visits than women. In addition, although women with obesity have greater odds of general physician visits than women with normal weight, the former group has lower odds of gynecological visits. This study offers important insights into how obesity positively shapes annual physician visits but negatively shapes gynecological care of women-especially those with class III obesity.
The National Couples' Health and Time Study (NCHAT) is the first fully powered, population-representative study of couples in America containing large samples of sexual, gender, and racial and ethnic diverse individuals. Drawn from the Gallup Panel and the Gallup Recontact Sample, when weighted, the data are population representative of individuals in the United States who (1) are married or cohabiting, (2) are between 20 and 60, (3) speak English or Spanish, and (4) have internet access. The data were collected between September 2020 and April 2021 in the midst of a global pandemic as well as racial and political upheaval. NCHAT includes surveys of 3,642 main respondents and 1,515 partners along with time diaries. We describe the sampling process, challenges weighting a diverse population-representative samples, and sociodemographic characteristics of the NCHAT study. These data will provide opportunities for new research on the health and well-being of American families.
Racial/ethnic and age disparities in COVID-19 and all-cause mortality during 2020 are well documented, but less is known about their evolution over time. We examine changes in age-specific mortality across five pandemic periods in the United States from March 2020 to December 2022 among four racial/ethnic groups (non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic Asian) for ages 35+. We fit Gompertz models to all-cause and COVID-19 death rates by 5-year age groups and construct age-specific racial/ethnic mortality ratios across an Initial peak (Mar-Aug 2020), Winter peak (Nov 2020-Feb 2021), Delta peak (Aug-Oct 2021), Omicron peak (Nov 2021-Feb 2022), and Endemic period (Mar-Dec 2022). We then compare to all-cause patterns observed in 2019. The steep age gradients in COVID-19 mortality in the Initial and Winter peak shifted during the Delta peak, with substantial increases in mortality at working ages, before gradually returning to an older age pattern in the subsequent periods. We find a disproportionate COVID-19 mortality burden on racial and ethnic minority populations early in the pandemic, which led to an increase in all-cause mortality disparities and a temporary elimination of the Hispanic mortality advantage at certain age groups. Mortality disparities narrowed over time, with racial/ethnic all-cause inequalities during the Endemic period generally returning to pre-pandemic levels. Black and Hispanic populations, however, faced a younger age gradient in all-cause mortality in the Endemic period relative to 2019, with younger Hispanic and Black adults in a slightly disadvantageous position and older Black adults in a slightly advantageous position, relative to before the pandemic.

