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. 2023 Oct 31;11:1286094. doi: 10.3389/fpubh.2023.1286094

Table 1.

Hunger Category by adverse economic event adjusted for food pantry and covariates, food pantry users in 10 food pantries in eastern Massachusetts, June 2018 – August 2018, n = 616.

Moderate hungera, n = 124 Severe hungera, n = 121
Odds ratio (95% CI) p-valueb Odds ratio (95% CI) p-valueb
Experience of adverse economic eventc
No Ref Ref
Yes 2.03 (1.07, 3.85) 0.03 5.39 (2.78, 10.48) <0.0001
Number of adverse economic eventsd
0 Ref Ref
1 1.20 (0.83, 1.74) 0.33 0.74 (0.52, 1.06) 0.10
2+ 2.09 (1.11, 3.92) 0.02 4.16 (2.39, 7.26) <0.0001
Type of adverse economic eventse
Death of a family member 1.59 (0.75, 3.37) 0.23 2.43 (1.21, 4.90) 0.01
Divorce 1.31 (0.61, 2.83) 0.49 0.38 (0.02, 8.75) 0.55
Pay reduction 1.87 (1.12, 3.14) 0.02 2.95 (1.24, 7.04) 0.01
Legal expenses 0.21 (0.03, 1.67) 0.14 1.28 (0.66, 2.49) 0.46
Debt 2.71 (1.92, 3.84) <0.0001 3.46 (1.98, 6.04) <0.0001
Job loss 1.34 (0.80, 2.25) 0.26 1.77 (0.83, 3.79) 0.14
Home-related expenses 1.01 (0.34, 2.98) 0.9863 1.77 (0.60, 5.26) 0.3020
Eviction 4.19 (0.95, 18.50) 0.0587 4.19 (0.78, 22.51) 0.0947
Medical expenses 1.48 (0.75, 2.91) 0.2529 1.84 (0.84, 4.00) 0.1252
Other 1.56 (1.07, 2.27) 0.0218 1.64 (0.99, 2.72) 0.0541
a

Hunger categories were defined as little to no hunger in the household (HHS score = 0–1), moderate hunger in the household (HHS score = 2–3), and severe hunger in the household (HHS 4–6) according to the HHS score. Both groups are compared to the no/little hunger group.

b

Analyses were conducted using mixed effects modeling. The covariates included in the mixed-effects model are marital status, education status, age categories, income categories, seniors in the household, children in the household, race/ethnicity, occupation, and household size.

c

Economic hardship was defined as experiencing at least one of the listed hardships in the past three months: medical expenses, job loss, reduced pay/h, divorce, home-related expenses, foreclosure/eviction notice, death of a family member or breadwinner, debt, legal expenses, or other hardship.

d

Number of adverse economic events was determined based on the number selected by each participant.

e

Types of adverse economic events were coded as separate variables.