Table 1.
Variable | Year(s) | Source | Conceptual Reason for Inclusion |
---|---|---|---|
% Patients younger than 65 | 2009-2018 | SEER | Women aged 65 years and older may have better access to health insurance as they are mostly eligible for Medicare. |
Incidence rate of breast cancer (age-adjusted) | Incidence rate is a measure of the breast cancer burden in the population. | ||
Mammography use (age 40+) | 2010 | BRFSS | Mammography screening helps detect breast cancer at an early stage (1). |
Mammography facilities per 100,000 population | 2016 | FDA | The availability of mammography could impact the uptake of screening in an area (5-9). |
Hospitals per 100,000 population | 2015 | AHRF | Hospitals could recommend and provide screening services for women. |
Community Health Centers per 100,000 population | 2014 | Community Health Centers could provide screening services or facilitate referrals for screening. | |
Primary care physicians per 100,000 population | 2014 | Sufficient primary care physicians are essential for preventive cancer care, and referrals for diagnostic services when necessary (10-12). | |
Obstetricians-gynecologists per 100,000 population | 2015 | Obstetrician and gynecologists are more likely to discuss and perform breast cancer screening and more likely to recognize breast cancer than other physicians (22, 23). | |
Radiologists per 100,000 population | 2015 | Radiologists are essential for the diagnosis and staging of breast cancer. | |
Population estimate | 2014 | An indicator of urbanicity, which may be associated with screening uptake (24). | |
% Urban Population | 2010 | An indicator of urbanicity, which may be associated with screening uptake (24). | |
Per Capita Income | 2014 | Lower income is associated with late-stage diagnosis of breast cancer (10, 25). | |
Rural-Urban Continuum Code | 2013 | An indicator of urbanicity, which may be associated with screening uptake (24) | |
Urban Influence Code | 2013 | An indicator of urbanicity, which may be associated with screening uptake (24) | |
Health Professional Shortage Area - Primary Care | 2015 | Sufficient availability of primary care physicians is essential for preventive cancer care, and referrals for diagnostic services when necessary (10-12). | |
% Eligible for Medicare | 2014 | Medicare-eligible individuals are more likely to undergo all cancer preventive services (26). | |
Median Household Income | 2014 | Lower income has been associated with late-stage diagnosis of breast cancer (10, 25). | |
% People in Poverty | 2014 | Poverty has been associated with late-stage diagnosis of breast cancer (27). | |
% Food Stamp or SNAP Recipients | 2014 | Receipt of SNAP benefits may be predictive of breast cancer tumor size (28). | |
% Uninsured women (age 18-64) | 2014 | Women without health insurance are more likely to be diagnosed at late stage for breast cancer compared to those with insurance (29). | |
% People under 200% of Poverty (age 18-64) | 2014 | Lower income and poverty are associated with late stage at breast cancer diagnosis (10, 25, 27). | |
% People with poor or fair health | 2014 | CHR | Overall poor or fair health may be positively or negatively associated with mammography screening based on either increased healthcare contacts or competing health priorities (30). |
Poor physical health days | 2014 | More poor physical health days may be positively or negatively associated with mammography screening based on either increased healthcare contacts or competing health priorities (30). | |
Poor mental health days | 2014 | People with more poor mental health days may have lower priority of screening in the context of managing other medical and life issues (30). | |
Adult smoking | 2014 | Smoking may be inversely associated with use of colorectal cancer-screening tests. (31). | |
Excessive drinking | 2014 | Alcohol consumption may be associated with breast cancer screening rates (32). | |
Teen births | 2007-2013 | Teenage women who bear a child are more likely to have lower socioeconomic status and psychological distress in their later lives (33, 34). | |
Children in poverty | 2014 | Child poverty could reflect long term negative consequences of the population along various aspects of social determinants health (35). | |
Low birthweight | 2008-2014 | Low birthweight may indicate maternal exposure to various health risks (36). | |
Adult obesity | 2013 | High body mass is associated with late-stage breast cancer at diagnosis (37, 38). | |
Food environment index | 2010&2014 | The urgency of food insecurity may deprioritize the receipt of preventive screening services (39). | |
Physical Inactivity | 2013 | Physical activity may be associated with use of colorectal cancer screening tests (31). | |
Access to exercise opportunities | 2010&2014 | A study found that physical activity was also associated with use of colorectal cancer-screening tests (31). | |
Mammography use (Medicare age 67-69) | 2014 | Mammography screening helps detect breast cancer at an early stage (1). | |
Social associations | 2014 | People with adequate social support had more healthcare access and fostered more productive relationships with their healthcare providers (40). | |
Violent crime | 2012-2014 | Homicide rate in the neighborhoods of women’s nearest screening facility is associated with breast cancer late-stage diagnosis (41). | |
Severe housing problems | 2009-2013 | People with severe housing problems might have lower priority of screening in the context of managing other acute issues (42). | |
% Racial/Ethnic Minorities | 2012-2016 | ACS | Race and ethnicity have been strong predictors of late-stage breast cancer (25, 43). |
% Family with own children (age < 18) | Women with more children are less likely to receive follow-up of tests or seek care for symptoms suggestive of breast cancer (44). | ||
% Female-headed households | Women from neighborhoods with greater percentages of female-headed households may be at higher risk of LSBC (45). | ||
% Women with high school degree or higher (age 25+) | Women from neighborhoods with less educated people may be at higher risk of LSBC (45, 46). | ||
% People spoke English less than "very well" (age 18+) | Language may be a barrier to breast cancer screening (46-48). | ||
% Women in management/business/science/arts occupations (age 16+) | Occupation categories are associated with breast cancer stage at diagnosis (49, 50). | ||
% Women in service occupations (age 16+) | |||
% Women in sales and office occupations (age 16+) | |||
% Women in labor intensive occupations (age 16+) | |||
% Renter occupied households | Women living in area with higher rates of renter occupied households are more likely to be diagnosed with LSBC (48). | ||
% People moved residency in the past year | High frequency residential change is potentially a marker for the clinical risk of behavioral and emotional problems (51). | ||
% Women worker drove alone to work (age 16+) | Percentage of women driving alone to work is an indicator of vehicle availability, which is an indicator of spatial access to screening services (3). | ||
% Women worker with >= 30 min travel time to work (age 16+) | Travel time to work may be an indicator of proximity to urban centers where most screening services are located, which in turn may be associated with cancer stage at diagnosis (6-9). | ||
% Women (age 15-50) had a birth in the past 12 months | After a childbirth, mothers experience a transient increased risk of late-stage breast cancer (52). | ||
% Women unemployed among those in labor force (age 16+) | Women living in area with higher rates of unemployment were more likely to be diagnosed with LSBC (48). | ||
Area Deprivation Index | 2014 | R Package ‘Sociome’ | Neighborhood deprivation along various aspects of social determinants of health may be associated with LSBC (4, 5). |
SEER = Surveillance, Epidemiology, and End Results; BRFSS = Behavioral Risk Factor Surveillance System; FDA = Food and Drug Administration; AHRF = Area Health Resources Files; CHR: County Health Rankings & Roadmaps; ACS = American Community Survey