The Influence of the COVID 19 Pandemic on Food Insecurity Among Cancer Survivors Across New York State

TL;DR

The study found that cancer survivors in New York City faced higher food insecurity before and during the pandemic compared to other areas, with factors like race and income playing a role.

Contribution

This study uniquely examines the impact of the pandemic on food insecurity among cancer survivors in New York State.

Findings

Food insecurity was higher in New York City compared to the rest of the state before and during the pandemic.

Low income and more co-morbidities were significant factors associated with food insecurity during the pandemic.

New associations like being out of work and having children in the household were linked to food insecurity during the pandemic.

Abstract

People surviving cancer represent a particularly vulnerable population who are at a higher risk for food insecurity (FI) due to the adverse short- and long-term effects of cancer treatment. This analysis examines the influence of the COVID-19 pandemic on the prevalence of FI among cancer survivors across New York State (NYS). Data from the 2019 and 2021 NYS Behavioral Risk Factor Surveillance System (BRFSS) were used to estimate the prevalence of FI. Multivariable logistic regression was used to explore socioeconomic determinants of FI. Among cancer survivors, FI varied geographically with a higher prevalence in New York City compared to the rest of the state (ROS) prior to (25.3% vs. 13.8%; p = .0025) and during the pandemic (27.35% vs. 18.52%; p = 0.0206). In the adjusted logistic regression model, pre-pandemic FI was associated with non-White race (OR 2.30 [CI 1.16–4.56]), household income <$15,000 (OR 22.67 [CI 6.39–80.43]) or $15,000 to less than <$25,000 (OR 22.99 [CI 6.85–77.12]), and more co-morbidities (OR 1.39 [CI 1.09–1.77]). During the pandemic, the association of FI with non-White race (OR 1.76 [CI 0.98–3.16]) was attenuated but remained significant for low household income and more co-morbidities. FI was newly associated with being out of work for less than one year (OR 6.36 [CI 1.80–22.54] and having one (OR 4.42 [CI 1.77–11.07]) or two or more children in the household (OR 4.54 [CI 1.78–11.63]). Our findings highlight geographic inequities and key determinants of FI among cancer survivors that are amendable to correction by public health and social policies, for which several were momentarily implemented during the pandemic.

Full text

Background

As defined by the United States Department of Agriculture, food insecurity is a lack of consistent access to enough food for every person in a household to live an active, healthy life. This can be a temporary situation for a family or can last a long time. In 2019, the year that preceded the Coronavirus Disease (COVID-19) pandemic, an estimated 10.5% of US households (down from 11.1% in 2018) were food insecure at least sometime during the prior year [1]. Historically, rates of food insecurity have been higher than the national average for the following groups: households with incomes near or below the federal poverty level ($14,580 for a household size of 1) [2]; all households with children and particularly households with children headed by single women or single men; women and men living alone; Black- and Hispanic-headed households; and households in principal cities and nonmetropolitan areas. The prevalence of food insecurity also varies by state, ranging from 6.6% in New Hampshire to 15.7% in Mississippi in 2017–2019. Food insecurity rates across New York State (NYS) during this same 3-year period were similar to the national average (10.8%) [3].

The COVID-19 pandemic caused widespread economic hardships and disrupted food systems across the country, disproportionately impacting the most vulnerable populations, especially in states hardest hit by the pandemic, such as New York. People surviving cancer represent a particularly vulnerable population secondary to their higher oncological risk (recurrent or secondary cancer). Food insecurity may be more prevalent in cancer survivors due to the high cost of treatment, lost wages, unemployment, and increased burden placed on caregivers within the same household [4]. Additionally, among those with a cancer diagnosis, food insecurity has been associated with decreased adherence to cancer treatment, foregone medical care, increased mental health issues such as depression, and adverse physical health outcomes. To our knowledge, the impact of the COVID-19 pandemic on food access has not been assessed among cancer survivors across NYS. Hence, this analysis is the first to (1) describe the prevalence of food insecurity amongst cancer survivors before (2019) and during the COVID pandemic (2021) across the state, as well as any geographic variability; (2) examine demographic and socioeconomic determinants associated with food insecurity among cancer survivors during both periods.

Methods

We used publicly available data from the NYS Behavioral Risk Factor Surveillance System (BRFSS) for 2019 and 2021. BRFSS is sponsored by the Centers for Disease Control and Prevention and is an annual telephone survey administered by individual states to collect state-specific data on health-related risk behaviors, chronic health conditions, and the use of preventive services among the noninstitutionalized civilian population aged 18 years and older [5]. Interviews are conducted throughout the year in both English and Spanish and reach households with landline telephones or cell phones. The BRFSS allows for a sub-division of analysis to compare respondents residing in NYC (five boroughs combined) to residents in the rest of the state (ROS). The data within the BRFSS data set are neither identifiable nor private and thus do not meet the federal definition of “human subject” as defined in 45 CFR 46.102. Therefore, this study did not need to be reviewed and approved by the Institutional Review Board.

The 2021 annual NYS BRFSS was an expanded BRFSS [6] designed to support regional and county-level analysis, resulting in a larger sample size. The BRFSS uses a core set of questions and allows states to include additional questions to serve their specific needs [7]. Food security was a NYS-Added Module in the 2019 and 2021 BRFSS surveys. The module included the following question: How often in the past 12 months would you say you were worried or stressed about having enough money to buy nutritious meals? Would you say—always, usually, sometimes, rarely, never? Food insecure individuals were defined as respondents who indicated they were always, usually, or sometimes worried or stressed about having enough money to buy nutritious meals in the past 12 months. Cancer survivors were defined as respondents who indicated they were ever told by a doctor, nurse, or other health professionals that they had any type of cancer other than skin cancer. Respondents only reporting a skin cancer diagnosis were excluded as the survey does not distinguish between melanoma and nonmelanoma skin cancers, and nonmelanoma skin cancer typically does not require treatment beyond surgery [8].

Statistical Analysis

All statistical analyses were performed in SAS version 9.4 software (Cary, NC, USA). Considering the complex survey design of BRFSS, all statistical analyses incorporated stratification and weighting following the methodology established by the Centers for Disease Control and Prevention [9, 10]. We computed unweighted and survey-weighted descriptive statistics to summarize the demographic and clinical characteristics of respondents in 2019 and 2021 based on cancer survivorship status, then used SAS proc surveyfreq to perform survey-weighted chi-squared tests comparing characteristics among four cohorts: 2019 cancer survivors (A), 2019 respondents without cancer (B), 2021 cancer survivors (C), and 2021 respondents without cancer (D). We performed an additional survey-weighted chi-squared analysis in the subset of cancer survivors to compare the geographic distribution of food insecurity in the following four cohorts: 2019 NYC (A), 2019 ROS (B), 2021 NYC (C), and 2021 ROS (D). We then performed univariable logistic regression models using SAS proc surveylogistic to identify factors associated with food insecurity in 2019 and 2021. We chose the most scientifically and evidence-based relevant variables with a significance of p < 0.10 in the univariable models to include in multivariable models predicting food insecurity among cancer survivors in 2019 and 2021.

Covariates

The following covariates were included in the multivariable analyses: age (18–64, 65+), sex at birth (male, female), self-identified race (White, Others), education (less than high school, high school or higher), income (<$15,000,$15,000 to less than $25,000,$25,000 to less than $50,000, or$50,000 or more), employment status (employed for wages, self-employed, out of work less than 1 year, retired, or unemployed), marital status (married/member of an unmarried couple, widowed/divorced/separated, or never married), number of children (one child, two or more children, no children), health insurance (Medicaid, Medicare, private plan, other insurance, or no coverage) and total number of chronic health conditions (0–7). The chronic conditions included have been previously associated with an increased burden of food insecurity and include diabetes, myocardial infarction, angina/coronary heart disease, asthma, chronic obstructive pulmonary disease, depressive disorder, or kidney disease [11–15].

Results

Respondents who did not answer the question regarding a cancer diagnosis were excluded from the analysis, resulting in 14,182 respondents in 2019 and 38,927 respondents in 2021. Tables 1 and 2 depict the characteristics of the respondents to the BRFSS survey in 2019 and 2021, stratified by those who met the criteria of being a cancer survivor versus those who never had a cancer diagnosis. In both years, cancer survivors were more often older (57.4% vs. 18.6%; 60.1% vs. 19.9% p < 0.0001), female (61.6% vs. 51.3%; 60.8% vs. 51.4% p < 0.0001), self-identified as white (70.9% vs. 54.4%; 75.9% vs. 55.0% p < 0.0001), disabled (41.1% vs. 24.8%; 41.8% vs. 25.4% p < 0.0001), retired (44.5% vs. 16.31%; 49.5% vs. 17.41% p < 0.0001), divorced/separated or widowed (31.0% vs. 17.2%; 31.4% and 17.1%; p < 0.0001), resided with no children in the household (86.4% vs. 63.9%; and 86.1% vs. 65.8% p < 0.0001), and had Medicare as their primary health insurance (43.5% vs. 16.2%; 49.7% vs. 19.1% p < 0.0001). Regarding cancer risk factors, cancer survivors were more often former smokers (38.4% vs. 22.4%; 37.6% vs. 19.9% p < 0.0001) and less physically active (32.3% vs. 26.8%; 32.1% vs. 25.3% p < 0.0001). They also self-reported a higher proportion of other chronic health conditions, including diabetes (19.5% vs. 11%; 20.5% vs. 11.9%; p < 0.0001), myocardial infarction (9.6% vs. 3.5%; 8.0% vs. 3.2%; p < 0.0001), angina/CHD (9.1% vs. 3.5%; 9.1% vs. 3.6% p < 0.0001), chronic obstructive lung disease (13.94% vs. 5.11%; 13.69% vs. 4.88% p < 0.0001), depression (18.2% vs. 15.1% p = 0.0308; 21% vs. 16.7%; p = 0.0010) and kidney disease (7.5% vs. 2.1%; 8.2% vs. 2.4%; p < 0.0001).Table 1. Characteristics of New York State (NYS) BRFSS survey respondents by cancer survivorship status in 2019 (N = 14,182)Cancer survivors (n = 1422)Respondents without a cancer diagnosis (n = 12,760)p-ValuesUnweighted FreqWeighted FreqWeighted percent (95% CI)Unweighted FreqWeighted FreqWeighted percent (95% CI)Age (years) 18–64454440,82042.58 (38.68, 46.48)837011,377,14581.37 (80.54, 82.2)<0.000165 or older938594,39557.42 (53.52, 61.32)40282,604,98718.63 (17.8, 19.46)Sex at birth Female851652,33461.63 (57.89, 65.37)67857,364,69351.32 (50.05, 52.6)<0.0001 Male571406,13638.37 (34.63, 42.11)59756,984,86448.68 (47.4, 49.95)Race/ethnicity White1145726,43370.95 (67.01, 74.88)86187,565,24954.41 (53.17, 55.64)<0.0001 Black96109,62810.71 (7.9, 13.52)11911,987,62414.29 (13.33, 15.25) Hispanic81133,58013.05 (9.97, 16.12)15342,694,31119.38 (18.32, 20.43) Multiracial, non-Hispanic1913,8591.35 (0.53, 2.18)180100,5930.72 (0.58, 0.87) Other race, non-Hispanic4040,4383.95 (2.04, 5.85)8461,557,33811.2 (10.17, 12.23)Education Less than high school grade103136,45912.97 (9.95, 15.99)9741,946,11913.69 (12.66, 14.72)0.6625 High school grad or higher1310916,00287.03 (84.01, 90.05)11,67512,270,23586.31 (85.28, 87.34)Disability status^a^560408,13841.01 (37.15, 44.86)33563,287,63624.89 (23.77, 26.02)<0.0001Income <$15,0009883,73410.65 (7.7, 13.6)902989,6309.13 (8.29, 9.98)0.2387$15,000 to less than $25,000188112,14014.26 (11.21, 17.31)16871,832,74516.92 (15.83, 18)$25,000 to less than $50,000273158,81320.2 (17.03, 23.37)21502,179,39920.12 (18.95, 21.28)$50,000 or more536431,50054.89 (50.58, 59.19)51715,831,98253.83 (52.39, 55.27)Employment status Employed for wages304276,31426.56 (23.12, 30.01)53296,668,29147.88 (46.60, 49.17)<0.0001 Self-employed9877,5037.45 (5.39, 9.51)12341,505,31110.81 (10.00, 11.61) Out of work for less than 1 year1411,4611.10 (0.18, 2.03)309467,7593.36 (2.85, 3.87) Retired741462,89444.50 (40.70, 48.29)34142,271,38216.31 (15.50, 17.12) Unemployed241212,04120.38 (17.17, 23.59)21713,013,13421.64 (20.50, 22.78)Marital status Never married175131,85012.57 (10.09, 15.05)28144,249,55930.04 (28.80, 31.29)<0.0001 Married/living as married646591,64256.40 (52.66, 60.14)63487,467,37352.79 (51.51, 54.08) Divorced/widowed/separated590325,54531.03 (27.64, 34.42)34232,427,17417.16 (16.31, 18.01)No. of Children in the household 01256899,40086.43 (83.76, 89.09)91278,861,64463.93 (62.64, 65.22)<0.0001 17884,2108.09 (5.85, 10.33)14602,100,81815.16 (14.16, 16.15) 2 or more6557,0485.48 (3.87, 7.10)18432,898,67120.91 (19.79, 22.03)Primary health insurance Private plan465385,70237.97 (34.18, 41.77)58216,701,79350.64 (49.32, 51.95)<0.0001 Medicare697441,53143.47 (39.71, 47.23)30752,130,80416.1 (15.26, 16.94) Medicaid114109,74610.8 (8.2, 13.41)14061,894,92014.32 (13.36, 15.28) Other insurance7850,0354.93 (3.34, 6.51)651713,2515.39 (4.79, 5.99) No coverage3828,6992.83 (1.71, 3.94)10951,794,02513.56 (12.55, 14.56)Smoking status Current smoker—every day12696,2399.68 (7.38, 11.97)10781,075,8258.18 (7.49, 8.88)<0.0001 Current smoker—some days3318,3801.85 (1.04, 2.66)471594,8804.52 (3.93, 5.12) Former smoker539382,63838.48 (34.67, 42.28)32552,945,65422.4 (21.36, 23.44) Never smoked645497,20250 (46.07, 53.92)70408,534,65164.9 (63.67, 66.13)Heavy drinking^b^102101,99110.76 (7.75, 13.76)17362,168,07717.21 (16.19, 18.23)0.0008No exercise^c^420314,58132.33 (28.65, 36.01)31093,431,67026.77 (25.57, 27.96)0.0033Presence of comorbidities Diabetes293205,97419.49 (16.59, 22.39)16681,571,88010.98 (10.20, 11.76)<0.0001 Myocardial Infarction (MI)144100,5159.58 (7.34, 11.82)609492,6473.46 (3.03, 3.9)<0.0001 Angina/coronary heart disease (CHD)14694,1169.06 (6.7, 11.43)599493,8353.47 (2.99, 3.95)<0.0001 Asthma219180,76117.19 (14.10,20.28)18562,083,92414.57 (13.68,15.45)0.0900 Chronic obstructive lung disease225146,90113.94 (11.41, 16.47)976729,6305.11 (4.62, 5.6)<0.0001 Depressive disorder276192,16218.18 (15.32, 21.03)21042,146,14215.06 (14.15, 15.97)0.0308 Kidney disease11177,8857.46 (5.61, 9.31)373301,4122.11 (1.8, 2.41)<0.0001Food Insecure171149,17217.78 (14.31, 21.25)16832,033,38919.5 (18.31, 20.69)0.3716^a^Respondents who reported at least one type of disability (cognitive, self-care, independent living, vision, mobility or hearing)^b^Heavy drinking is defined as consuming 8 or more drinks per week for women and 15 or more drinks per week for men^c^Leisure time physical activity is defined as any physical activities or exercises engaged in not related to one’s regular jobTable 2Characteristics of New York State (NYS) BRFSS survey respondents by cancer survivorship status in 2021 (N = 38,297)Cancer survivors (n = 3897)Respondents without a cancer diagnosis (n = 35,030)p-ValuesUnweighted FreqWeighted FreqWeighted percent (95% CI)Unweighted FreqWeighted FreqWeighted percent (95% CI)Age (years) 18–641198390,84639.87 (36.81, 42.93)22,49811,644,78380.1 (79.43, 80.77)<0.0001 65 or older2606589,46960.13 (57.07, 63.19)11,3822,892,91219.9 (19.23, 20.57)Sex at birth Female2343613,40460.84 (57.96, 63.73)18,6847,705,41851.46 (50.53, 52.39)<0.0001 Male1554394,76539.16 (36.27, 42.04)16,3467,267,83148.54 (47.61, 49.47)Race/ethnicity White3302747,90775.96 (73.08, 78.84)25,0967,988,31155.07 (54.18, 55.96)<0.0001 Black16998,3479.99 (8.02, 11.96)27202,068,12614.26 (13.59, 14.92) Hispanic13990,8559.23 (7.17, 11.28)34412,717,70218.74 (18.02, 19.45) Multiracial, non-Hispanic8368940.7 (0.42, 0.98)666119,2260.82 (0.69, 0.95) Other race, non-Hispanic10740,6054.12 (2.53, 5.72)21121,612,29411.11 (10.39, 11.84)Education Less than high school grad20787,1818.7 (6.87, 10.53)25281,939,70813.07 (12.36, 13.77)0.0002 High school grad or higher3674914,90491.3 (89.47, 93.13)32,26512,906,09886.93 (86.23, 87.64)Disability status^a^1,626394,58541.83 (38.74, 44.93)94503,475,57525.48 (24.63, 26.32)<0.0001Income <$15,00020043,0576.08 (4.46, 7.7)1759754,1727 (6.45, 7.55)0.1345$15,000 to less than $25,00037868,5579.68 (7.89, 11.47)31281,231,72711.43 (10.74, 12.12)$25,000 to less than $50,000925206,10929.1 (25.83, 32.37)72552,693,04324.99 (24.07, 25.92)$50,000 or more1409390,52955.14 (51.63, 58.65)14,1026,095,86256.58 (55.52, 57.63)Employment status Employed for wages736234,03823.69 (20.96, 26.42)14,3146,904,70947.74 (46.79, 48.68)<0.0001 Self-employed21071,1617.20 (5.60, 8.80)29731,363,1639.42 (8.88, 9.97) Out of work for less than 1 year5328,0892.84 (1.29, 4.39)957515,9093.57 (3.21, 3.93) Retired2283489,01849.50 (46.48, 52.51)10,0552,518,35717.41 (16.78, 18.05) Unemployed559165,70316.77 (14.55, 18.99)58093,162,00321.86 (21.03, 22.69)Marital status Never married396115,32611.61 (9.72, 13.51)73134,386,83229.72 (28.83, 30.61)<0.0001 Married/living as married1934566,02256.98 (54.05, 59.92)18,1327,849,85853.18 (52.25, 54.12) Divorced/widowed/separated1531311,93931.40 (28.74, 34.07)90992,523,43117.10 (16.46, 17.74)Number of children in the household 03479845,85386.11 (83.69, 88.54)25,2319,473,33965.76 (64.84, 66.68)<0.0001 118776,9747.84 (5.79, 9.89)37462,119,58514.71 (14.01, 15.42) 2 or more16259,4226.05 (4.55, 7.55)49192,813,34919.53 (18.76, 20.30)Primary health insurance Private plan1079319,08633.15 (30.14, 36.15)14,8106,847,12549.34 (48.38, 50.3)<0.0001 Medicare2030478,23449.68 (46.61, 52.75)95192,653,11019.12 (18.42, 19.82) Medicaid28681,8408.5 (6.84, 10.16)36412,020,90114.56 (13.85, 15.28) Other insurance28472,0837.49 (5.85, 9.13)35091,471,99210.61 (10.01, 11.2) No coverage4311,3911.18 (0.63, 1.74)1433883,1606.36 (5.89, 6.84)Smoking status Current smoker—every day32566,0576.55 (5.31, 7.80)34001,081,3287.22 (6.76, 7.68)<0.0001 Current smoker—some days12031,4013.11 (2.17, 4.06)1295569,6173.80 (3.46, 4.15) Former smoker1521378,62237.56 (34.68, 40.43)89592,977,08419.88 (19.18, 20.58) Never smoked1715465,71546.19 (43.20, 49.19)18,5438,944,16559.73 (58.83, 60.64)Heavy drinking^b^23260,3556.66 (5.1, 8.22)42722,013,62915.47 (14.73, 16.2)<0.0001No exercise^c^1271323,58632.12 (29.35, 34.9)87173,782,81525.33 (24.51, 26.15)<0.0001Presence of comorbidities Diabetes883206,65420.50 (18.16, 22.84)48841,775,62511.89 (11.28, 12.50)<0.0001 Myocardial Infarction (MI)39879,4687.99 (6.62, 9.35)1689476,7273.21 (2.91, 3.52)<0.0001 Angina/coronary heart disease (CHD)41890,6889.11 (7.48, 10.75)1705527,6423.55 (3.23, 3.87)<0.0001 Asthma621145,56014.48 (12.49,16.47)50902,112,38614.16 (13.50,14.82)0.7640 Chronic obstructive lung disease661137,56113.69 (11.72, 15.66)2678726,7794.88 (4.48, 5.28)<0.0001 Depressive disorder865206,07120.54 (18.21, 22.87)68162,485,94616.74 (16.08, 17.41)0.0010 Kidney disease34881,6968.15 (6.36, 9.94)1171360,9752.42 (2.15, 2.69)<0.0001Food Insecure362177,16120.36 (17.15, 23.56)39073,143,77425.12 (24.04, 26.19)0.0061^a^Respondents who reported at least one type of disability (cognitive, self-care, independent living, vision, mobility or hearing)^b^Heavy drinking is defined as consuming 8 or more drinks per week for women and 15 or more drinks per week for men^c^Leisure time physical activity is defined as any physical activities or exercises engaged in not related to one’s regular job

Prior to the COVID pandemic, the proportion of cancer survivors across the state experiencing food insecurity in comparison to respondents with no prior cancer diagnosis did not significantly differ (17.78% vs. 19.5%; p = 0.3716). However, food insecurity among cancer survivors varied geographically, with a higher prevalence in the five boroughs of NYC compared to the ROS (25.3% vs. 13.8%; p = 0025), as shown in Table 3. While food insecurity rates increased across the state because of the pandemic, the geographic difference among cancer survivors persisted (27.35% vs. 18.52%; p = 0.0206).Table 3. Food insecurity—NYC vs. Rest of State (ROS), 2019 and 2021Cancer survivors 2019Cancer survivors 2021Unweighted FreqWeighted FreqWeighted percent95% CIp-ValueUnweighted FreqWeighted FreqWeighted percent95% CIp-ValueNew York City5373,52025.2617.52–33.010.00256149,58127.3520.29–34.420.0206Rest of the state11875,65313.8110.57–17.04301127,58018.5215.05–21.98

The multivariable survey-weighted logistic regression models predicting food insecurity among cancer survivors in both years are shown in Table 4. Pre-pandemic cancer survivors had higher odds of being food insecure if they self-identified as non-White race (Odds Ratio 2.30 [95% Confidence Interval, 1.16, 4.56], had a household income <$15,000 (22.67 [6.39, 80.43]) or$15,000 to less than <$25,000 (22.99 [6.85, 77.12]), and had more cumulative chronic health conditions (1.39 [1.09, 1.77]). During the pandemic, the odds of being food insecure among cancer survivors were attenuated for non-White race (1.76 [0.98–3.16]) but remained significant for those with a household income <$15,000 (15.25 [5.3–43.91]) or $15,000 to less than <$25,000 (OR 11.81 [4.80–29.06]) as well as those with more co-morbidities (1.56 [1.28, 1.90]). Cancer survivors out of work for less than one year (6.36 [1.80, 22.54) and those with children in the household (one child: 4.42 [1.77, 11.07]; two or more children; 4.54 [1.78, 11.63]) also had a higher odd of being food insecure. The odds of food insecurity were lower among cancer survivors with private health insurance (0.20 [0.06, 0.64]) compared to no health insurance.Table 4. Determinants of food insecurity among cancer survivors across NYS State in 2019 and 202120192021Cancer survivors (N = 897)Cancer survivors (N = 1631)OR (95% CI)p-ValuesOR (95% CI)p-ValuesLevelOverallLevelOverallAge (18–64 vs. 65 years or older)1.49 (0.55, 4.03)–0.4300.88 (0.42, 1.86)–0.735Sex (Female vs. male)1.02 (0.50, 2.07)–0.9641.23 (0.73, 2.07)–0.440Race (Others vs. White)2.30 (1.16, 4.56)–0.0171.76 (0.98, 3.16)–0.059Education (High school or higher vs. less than high school)1.13 (0.44, 2.89)–0.7981.10 (0.47, 2.53)–0.831Income <$15,000 vs.$50,000 or more22.67 (6.39, 80.43)0.002<0.000115.25 (5.30, 43.91)0.003<0.0001 $15,000 to less than$25,000 vs. $50,000 or more22.99 (6.85, 77.12)0.000411.81 (4.80, 29.06)0.005$25,000 to less than $50,000 vs.$50,000 or more8.09 (2.77, 23.63)0.9894.68 (2.31, 9.46)0.458Employment status Employed for wages vs. unemployed0.76 (0.26, 2.23)0.4360.2520.81 (0.35, 1.88)0.4630.001 Self-employed vs. unemployed0.24 (0.03, 1.75)0.2670.41 (0.12, 1.34)0.043 Out of work <1 year vs. unemployed0.65 (0.14, 3.01)0.7846.36 (1.80, 22.54)0.0001 Retired vs. unemployed0.45 (0.20, 0.99)0.5710.54 (0.26, 1.13)0.016Marital status Widowed/divorced/separated vs. never married1.25 (0.48, 3.29)0.8230.8600.30 (0.14, 0.63)0.0100.006 Married/member of an unmarried couple vs. never married1.33 (0.47, 3.72)0.6680.36 (0.16, 0.77)0.134Number of children 1 child vs. no children2.07 (0.55, 7.88)0.7940.1564.42 (1.77, 11.07)0.1100.001 2 or more children vs. no children3.05 (0.94, 9.96)0.2094.54 (1.78, 11.63)0.098Health insurance Medicaid vs. no coverage0.40 (0.06, 2.67)0.5690.8770.40 (0.10, 1.58)0.9890.041 Medicare vs. no coverage0.40 (0.06, 2.54)0.4770.26 (0.08, 0.87)0.096 Other insurance vs. no coverage0.50 (0.06, 4.56)0.9360.51 (0.13, 1.97)0.489 Private plan vs. no coverage0.49 (0.08, 2.91)0.8730.20 (0.06, 0.64)0.008Total number of chronic health conditions1.39 (1.09, 1.77)–0.0091.56 (1.28, 1.90)–<0.0001

Discussion

In this study, the prevalence of food insecurity even before the COVID-19 pandemic was disproportionally experienced by cancer survivors residing in NYC compared to the ROS. The burden of food insecurity amongst this vulnerable population exceeds the national average (11%) by almost twofold and is higher than the overall state average (24.9%) [16]. While other studies have reported a prevalence of food insecurity among cancer survivors in the range of 4.0–26.2%, we are unaware of any studies that have described a similar geographic inequity with urban areas outpacing more suburban or rural areas [17–19]. Among cancer survivors, the most significant determinant of food insecurity during both periods was an annual household income of less than $25,000. Our findings of low-income and non-White race as independent factors that increase the likelihood of being food insecure align with previous studies [20].

While the goal of this study was to assess whether cancer survivors experienced higher rates of food insecurity because of the pandemic, we instead observed an interesting attenuation of the disparity related to the social construct of race and ethnicity accompanied by a lowering of the odds based on household income. This finding may have occurred due to the increased availability of food assistance programs, unemployment insurance, and stimulus payments across NYS [21–23], especially in NYC as the pandemic’s epicenter. Evaluations of NYS policies demonstrate that food policy reforms gained significant momentum during the COVID-19 pandemic. More than 300 policy provisions were implemented across the State during the state of emergency (March 2020–June 2021). About two-thirds of the policies focused on supporting food businesses and workers, while the other third targeted ensuring adequate food access (32%) for needy communities [24]. These additional state programs layered on top of federal programs like the Federal Pandemic Unemployment Compensation program may have buffered the most vulnerable populations. Evidence of social protection programs in other countries resulting in reductions in food insecurity because of the pandemic further demonstrates the capabilities of these programs to close critical gaps in food access created by social determinants such as poverty, race, and ethnicity [25–28].

During the pandemic, about 40% of cancer survivor survey respondents were of working age (18–64). While the overall percentage (2.84%) of cancer survivors in 2021 who reported they were out of work for less than a year was small, it represented a significant increase compared to the prevalence in 2019 (1.1%). Employed individuals diagnosed with cancer have a variety of postdiagnosis employment trajectories [29]. While some survivors may report their most significant limitations in the first year postdiagnosis, in at least one study, cancer survivors more than 11 years postdiagnosis reported nearly double the number of work absence days within the preceding year versus their colleagues with no cancer diagnosis [30]. Unfortunately, in 2019 and 2021, NYS did not include the optional module of years since the first cancer diagnosis. Thus, we were unable to factor that into the analysis. However, data from the 2020 BRFSS module demonstrates that about 43% of respondents in that year were diagnosed with cancer more than 10 years, 19% 6–10 years, 38% 5 years or less, and 18% were still actively undergoing treatment.

There are several study strengths and limitations to consider in the context of our findings. Strengths of the study include the use of survey data provided by the BRFSS, which provides population-based estimates of food insecurity that are generalizable to all NYS adults. Furthermore, the pre- and intra-pandemic data comparisons allow for further examination of secular trends in food insecurity. To our knowledge, this is the first study to examine this trend in association with cancer. Most recently, Crossa et al., using data from the 2017–2018 NYC Community Health Survey, explored the associations between food insufficiency, a more severe form of food insecurity, and the chronic health conditions of hypertension, diabetes, obesity, and depression [31]. Food insufficiency was associated with a higher odd for all chronic health conditions except obesity. Similarly, they found geographic inequities regarding the neighborhoods with the highest prevalence of food insufficiency being those areas with the “greatest social and economic inequities associated with the legacy of structural racism.” As recent findings have demonstrated that the Bronx has the highest rate of food insecurity (39%) in the state our findings of geographic inequities of food insecurity among cancer survivors across the state is not surprising.

Lastly, the sample size of the BRFSS permitted more nuanced examination of food insecurity patterns across social and demographic characteristics, as well as geography, yielding novel insights in subgroups that are at increased risk for experiencing food insecurity and its sequelae. Unfortunately, given the cross-sectional nature of the BRFSS, we are unable to examine the persistence of food insecurity within NYS households over time, or the trajectory of cancer patients’ illness. Furthermore, we are unable to ascertain the impacts of food insecurity on chronic disease prevention or management, including among cancer survivors, which may have clinical implications for individuals living with cancer. More longitudinal data is needed to fully elucidate the associations and pathways between food insecurity and health status, including poor diet quality, adverse mental health outcomes, or avoidance of medical treatment or medication adherence due to cost.

In light of the Biden Administration’s commitment coming out of the White House Conference on Hunger, Nutrition, and Health to Ending Hunger and Reducing Diet-Related Diseases and Disparities, continued research highlighting the deleterious effects of food insecurity on cancer risk, early detection, and cancer treatment response and outcomes, as well as on interventions to address food insecurity, are warranted [32]. Research is currently being conducted on the effectiveness of monthly unconditional guaranteed income for people with cancer and its impact on food insecurity and cancer outcomes [33]. Within NYC, interventions to address food insecurity through vouchers and linkages to food pantries have shown promise in improving cancer treatment completion [34]. NYC has also taken steps to institutionalize long-term food systems planning through the 10-year food policy plan, “Food Forward NYC,” mandated by local law LL 2020/040. The plan outlines five strategic areas for developing future food policy around food access and food security, food economy and good jobs, supply chains and regional infrastructure, environmental sustainability, and food system knowledge and governance [35].

Implementing ongoing, embedded food insecurity screening across all cancer care sites, at an evidence-based cadence to be determined, could serve as a cancer and food insecurity surveillance system and an indicator of the impact of food insecurity policies, which could be an essential policy intervention. This should be coupled with community-engaged interventions and advocacy for upstream policy approaches, including food voucher systems for low-income individuals, potentially coupled with Medicaid and Emergency Medicaid enrollment, to ensure progress toward addressing health inequities across the cancer continuum.