Table 4 Findings from structural equation models on the association between the general latent factor of financial hardship and inflammation (N = 863)

General Financial Hardship and IL6

 Financial hardship

0.34 (0.04) ^***

[0.28, 0.40]

0.28 (0.04) ^***

[0.22, -0.34]

0.25 (0.05) ^***

[0.17, 0.32]

 Age

0.44 (0.03) ^***

[0.39, 0.50]

0.44 (0.03) ^***

[0.39, 0.48]

0.44 (0.03) ^***

[0.40, 0.49]

 Sex (0 = female, 1 = male)

0.01 (0.03)

[-0.04, 0.07]

0.02 (0.03)

[-0.02, 0.07]

0.03 (0.03)

[-0.02, 0.08]

 Body mass index

0.35 (0.02) ^***

[0.32, 0.38]

0.34 (0.02) ^***

[0.31, 0.37]

 Education (0 = lower, 1 = bachelor’s or higher)

-0.01 (0.04)

[-0.07, 0.05]

 Race (0 = minorities, 1 = NH white)

-0.09 (0.03) ^**

[-0.14, -0.04]

General Financial Hardship and CRP

 Financial hardship

0.24 (0.04) ^***

[0.17, 0.31]

0.17 (0.04) ^***

[0.10, 0.23]

0.11 (0.05) ^*

[0.03, 0.19]

 Age

0.21 (0.04) ^***

[0.15, 0.27]

0.20 (0.03) ^***

[0.15, 0.25]

0.19 (0.03) ^***

[0.14, 0.25]

 Sex (0 = female, 1 = male)

-0.14 (0.03) ^***

[-0.19, -0.08]

-0.13 (0.03) ^***

[-0.18, -0.08]

-0.13 (0.03) ^***

[-0.18, -0.08]

 Body mass index

0.40 (0.01) ^***

[0.38, 0.42]

0.39 (0.01) ^***

[0.27, 0.41]

 Education (0 = lower, 1 = bachelor’s or higher)

-0.10 (0.04) ^**

[-0.15, -0.04]

 Race (0 = minorities, 1 = NH white)

-0.04 (0.03)

[-0.09, 0.01]

General Financial Hardship and Fibrinogen

 Financial hardship

0.24 (0.04) ^***

[0.18, 0.30]

0.18 (0.04) ^***

[0.12, 0.24]

0.12 (0.05) ^**

[0.05, 0.19]

 Age

0.29 (0.03) ^***

[0.23, 0.34]

0.28 (0.03) ^***

[0.23, 0.33]

0.28 (0.03) ^***

[0.23, 0.33]

 Sex (0 = female, 1 = male)

-0.15 (0.03) ^***

[-0.20, -0.10]

-0.14 (0.03) ^***

[-0.19, -0.09]

-0.14 (0.03) ^***

[-0.19, -0.09]

 Body mass index

0.32 (0.01) ^***

[0.30, 0.34]

0.31 (0.01) ^***

[0.29, 0.34]

 Education (0 = lower, 1 = bachelor’s or higher)

-0.07 (0.04) ^*

[-0.14, -0.01]

 Race (0 = minorities, 1 = NH white)

-0.10 (0.03) ^**

[-0.15, -0.05]