2021
DOI: 10.1016/j.jand.2021.06.001
|View full text |Cite
|
Sign up to set email alerts
|

Food Insecurity, Dietary Quality, and Health Care Utilization in Lower-Income Adults: A Cross-Sectional Study

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

2
16
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 26 publications
(18 citation statements)
references
References 32 publications
2
16
0
Order By: Relevance
“…Survey-weighted, multiple imputation linear regression models were fitted to test differences in diet quality (DGI total score and component scores; continuous dependent variables), total energy and nutrient intakes (continuous dependent variables) according to food security status (binary independent variable). Confounders were established a priori based on the previous literature [ 6 , 16 , 17 ]. Data were analysed using the following two covariate models: model 1 (minimally adjusted), included age (continuous) and sex (binary) as covariates; model 2 provided a sensitivity analysis (see supplement 2 ) and was adjusted for model 1 covariates (age, sex), as well as equivalised household income (categorical), educational obtainment (categorical), country of birth (categorical), marital status (categorical) and smoking status (categorical).…”
Section: Methodsmentioning
confidence: 99%
“…Survey-weighted, multiple imputation linear regression models were fitted to test differences in diet quality (DGI total score and component scores; continuous dependent variables), total energy and nutrient intakes (continuous dependent variables) according to food security status (binary independent variable). Confounders were established a priori based on the previous literature [ 6 , 16 , 17 ]. Data were analysed using the following two covariate models: model 1 (minimally adjusted), included age (continuous) and sex (binary) as covariates; model 2 provided a sensitivity analysis (see supplement 2 ) and was adjusted for model 1 covariates (age, sex), as well as equivalised household income (categorical), educational obtainment (categorical), country of birth (categorical), marital status (categorical) and smoking status (categorical).…”
Section: Methodsmentioning
confidence: 99%
“…Given the high levels of food insecurity observed during the early months of the pandemic from this study and others, [7][8][9]42 and the widening disparities documented in US Department of Agriculture annual food security estimates, 12 and prior evidence regarding associations between food insecurity and health, [43][44][45][46][47][48] findings from this study suggest that adverse diet-related health outcomes may follow. These findings are consistent with prior evidence showing that food insecurity is associated with poor diet quality, and that these findings are robust across dietary assessment methods and diet quality indexes.…”
Section: Discussionmentioning
confidence: 63%
“…
food insecurity, diet quality, racial and ethnic disparities in non-alcoholic fatty liver disease Food insecurity (FI), which is defined as the lack of access to affordable nutritious food owing to financial limitations, is a recognised social determinant of obesity, chronic health conditions (diabetes, hypertension, heart disease), and higher rates of health care use. 1,2 Nearly 13 million households in the United States were "food insecure" during 2020. In the U.S., FI tends to disproportionately affect certain racial, ethnic, and socioeconomically disadvantaged popula-
…”
mentioning
confidence: 99%
“…1 FI is strongly linked to poor healthy eating patterns. 2 Healthy food is expensive for some people living in low-income households, which limits healthy choices. Foods that are cheaper and easier to obtain tend to have higher levels of added sugars and saturated fat, 2 and therefore, can increase the risk of non-alcoholic fatty liver disease (NAFLD) and its severity.…”
mentioning
confidence: 99%
See 1 more Smart Citation