Table 1.
Selected characteristics of included studies of adults
Author, year | Study design | Setting | Sample size | Follow-up | Key findings |
---|---|---|---|---|---|
Overweight/obesity | |||||
van der Velde et al.,2020 | Cross-sectional | “Deprived” urban area in Netherlands | 250 | n/a | Food insecurity associated with obesity (OR = 2.51, 95% CI 0.98, 6.48), but not with overweight (OR 1.15, 95% CI 0.46, 2.85) |
Castañeda et al. 2019 | Cross-sectional | Migrant farm workers in agribusiness areas of Northwest Mexico | 146 | n/a | Household food insecurity associated with obesity overall (OR 5.18, 95% CI: 1.37,19.58), but association changes sign between women (higher risk) and men (lower risk) |
Caspi et al. 2017 | Cross-sectional | Boston, MA | 828 | n/a | Those experiencing food hardship were more likely to be obese (RR 1.17, 95% CI 1.07, 1.29) than those not experiencing food hardship |
Ashe and Lapane 2017 | Cross-sectional | USA, nationally representative survey of women age ≥ 40 years | 4,672 | n/a | Food-insecure woman had 1.4 the odds of obesity. (95% CI 1.22, 1.62). |
El Zein, et al. 2020 | Cross-sectional | College students at 8 US universities | 683 | n/a | Marginal food security and food insecurity were associated with 3.16 (95% CI: 1.55, 6.46) and 5.13 (95% CI: 2.63, 10.00) greater odds of obesity |
Lund et al. 2018 | Cross-sectional | Denmark | 1,877 | n/a | Association between food insecurity and obesity not significant in adjusted models for women or men |
Nagata et al. 2019 | Cross-sectional | USA, nationally representative survey | 14,786 | n/a | In young adults (age 24–32 years), food insecurity not associated with obesity in adjusted models (OR 1.12, 95% Cl 0.97, 1.29) |
Moradi et al. 2019 | Meta-analysis | 31 studies from 14 countries | 115,993 (across all studies) | n/a | Adults in food-insecure households are more at risk of obesity (OR 1.15, 95% CI 1.06, 1.23). In food-insecure households, women had a higher risk of obesity than men (OR 1.26, 95% CI 1.05, 1.46). |
Keenan et al. 2021 | Cross-sectional | UK | 604 | n/a | In structural equation models, food insecurity was indirectly associated with higher BMI via greater distress and eating to cope |
Hypertension | |||||
Nagata et al. 2019 | Cross-sectional | USA, nationally representative survey | 14,786 | n/a | Food-insecure young adults (aged 24–32) have greater odds of hypertension (1.40, 95% CI 1.14, 1.72) compared with food-secure young adults |
Berkowitz et al. 2017 | Cross-sectional | USA, nationally representative survey | 21,196 | n/a | Age-standardized rates of food insecurity are greater in participants with hypertension (14.1% vs. 11.1%, P = 0.0003) |
Leung et al. 2020 | Cross-sectional | USA, nationally representative sample of older adults | 2,048 | n/a | Food insecurity not significantly associated with hypertension (40.3% hypertension among food-secure adults vs. 46.7% among food-insecure adults, P = 0.10) |
da Silva Miguel et al. 2020 | Systematic review | International | n/a | n/a | Direct association between food insecurity and hypertension after adjusting for sociodemographic, economic, and lifestyle characteristics |
Diabetes mellitus | |||||
Lee et al. 2018 | Cross-sectional | USA, nationally representative survey of participants aged 20–39 | 3,684 | n/a | Significantly greater odds of prediabetes/diabetes after adjustment for age, sex, and income (OR 1.36, 95% CI 1.00, 1.85) |
Walker et al. 2018 | Cross-sectional | Primary care clinics in the Southeast United States | 615 | n/a | Food insecurity associated with direct pathway to increased hemoglobin A1c (r = 0.66, P = 0.03) |
Murillo et al. 2017 | Cross-sectional | USA, nationally representative survey | 19,048 | n/a | Food insecurity associated with pre-diabetes in women (OR 1.62, 95% CI 1.22, 2.16) |
Vaccaro and Huffman 2017 | Cross-sectional | USA, nationally representative survey of adults aged ≥ 55 years | 3,871 | n/a | Food-insecure men have lower odds of diabetes in comparison to women (OR: 0.39, 95% CI 0.23, 0.66) |
Abdurahman et al. 2018 | Meta-analysis of cross-sectional studies | International | 55,353,915 (across all included studies) | n/a | Household food insecurity significantly associated with odds of type 2 diabetes (OR 1.27, 95% CI 1.11, 1.42) |
Silbert et al. 2018 | Narrative review | International | n/a | n/a | Food insecurity associated with increased hypoglycemia risk |
Tait et al. 2018 | Longitudinal | Ontario, CA | 4,739 | Median of 11.6 years | Food insecurity associated with increased risk of developing T2D (HR 2.40, 95% CI 1.17, 4.94) |
Berkowitz et al. 2018 | Longitudinal | Massachusetts | 391 | Mean of 37 months | Food insecurity associated with greater HbA1c (difference of 0.6 percentage points, 95% CI 0.4, 0.8 percentage points) |
Shalowitz et al. 2017 | Longitudinal | Multi-site federally qualified health center in Midwestern USA | 336 | 24 months | Food insecurity participants had higher hemoglobin A1c at baseline and difference did not resolve over 2 years of follow-up |
Schroeder et al. 2018 | Longitudinal | Colorado | 2,968 | 12 months | Association between food insecurity and emergency department visits and hospitalizations not significant after adjustment |
Blitstein et al. 2020 | Interventional, pre/post | Federally qualified health centers, Midwestern USA | 398 | 6–9 months | Intervention combining food insecurity screening, nutritional education, and assistance with accessing food resources associated with lower hemoglobin A1c (−0.22 percentage points, P = 0.01) post-intervention |
Berkowitz et al. 2019 | Interventional, crossover RCT | Massachusetts | 42 | 6 months | Healthy Eating Index diet quality score was 71.3 (SD 7.5) while receiving meals and 39.9 (SD 7.8) when not receiving meals (difference 31.4 points, P < 0.0001) |
Ferrer et al. 2019 | Interventional, RCT | Primary care practice in San Antonio, Texas | 43 | 6 months | Hemoglobin A1c decreased 3.1 percentage points in the intervention group vs. 1.7 percentage points in the control group (P = .01) |
Seligman et al. 2018 | Interventional, RCT | Food banks in Oakland, CA, Detroit, MI, and Houston, TX | 568 | 6 months | Intervention did not result in decreased hemoglobin A1c (difference between intervention and control group 0.24 percentage points; 95% CI −0.09, 0.58) but did reduce food insecurity (risk ratio 0.85. 95% CI 0.73, 0.98) and increase fruit and vegetable consumption |
Coronary heart disease, congestive heart failure, and stroke | |||||
Venci and Lee 2018 | Cross-sectional | USA, nationally representative survey | 30,010 | n/a | Very low food security was associated with greater odds of having been diagnosed with coronary heart disease (OR: 1.75, 95% CI: 1.37, 2.24) |
Berkowitz et al. 2017 | Cross-sectional | USA, nationally representative survey | 21,196 | n/a | Food insecurity was more prevalent in individuals with coronary heart disease (20.5% vs. 11.9%, P <.001) and congestive heart failure (18.4% vs. 12.1%, P = .004), compared with individual who did not have the condition |
Charkhchi et al. 2018 | Cross-sectional | Representative sample of 11 US states and 1 US territory | 84,353 | n/a | History of cardiovascular disease was associated with a greater likelihood of food insecurity (OR 1.75, 95% CI 1.12, 2.73) |
Hummel Scott et al. 2018 | Interventional, RCT | Michigan and New York, USA | 66 | 3 months | Those who received the meals had greater increases in quality of life than usual care participants (Kansas City Cardiomyopathy Questionnaire Clinical Summary Score increased from a mean of 47 to 65 in the intervention arm vs. 45 to 55 in the control arm; P = 0.053) |
Chronic kidney disease | |||||
Leung et al. 2020 | Cross-sectional | USA, nationally representative sample of older adults | 2,048 | n/a | Chronic kidney disease was more common in those with food insecurity, compared with those who were not (5.6% vs. 2.0%, P = .005) |
Banerjee et al. 2017 | Longitudinal | USA, nationally representative survey, adults with household income ≤ 400% of the federal poverty level | 12,768 | Median of 12 years | Of those with CKD at baseline, those who reported being food insecure were more likely to progress to end-stage renal disease than those who were food secure (relative hazard 1.38, 95% CI 1.08, 3.10) |
Crews et al. 2018 | Narrative review | International | n/a | n/a | Food insecurity is more prevalent in areas with greater CKD prevalence |
RCT, randomized clinical trial; CKD, chronic kidney disease; ESRD, end-stage renal disease; T2D, type 2 diabetes