Diet and Food and Nutrition Insecurity and Cardiometabolic Disease

Food Insecurity and Social Policy: A Comparative Analysis of Welfare State Regimes in 19 Countries

We sought to determine whether a country's social policy configuration-its welfare state regime-is associated with food insecurity risk. We conducted a cross-sectional study of 2017 U.N. Food and Agriculture Organization individual-level food insecurity survey data from 19 countries (the most recent data available prior to COVID-19). Countries were categorized into three welfare state regimes: liberal (e.g., the United States), corporatist (e.g., Germany), or social democratic (e.g., Norway). Food insecurity probability, calibrated to an international reference standard, was calculated using a Rasch model. We used linear regression to compare food insecurity probability across regime types, adjusting for per-capita gross domestic product, age, gender, education, and household composition. There were 19,008 participants. The mean food insecurity probability was 0.067 (SD: 0.217). In adjusted analyses and compared with liberal regimes, food insecurity probability was lower in corporatist (risk difference: -0.039, 95% CI -0.066 to -0.011, p  =  .006) and social democratic regimes (risk difference: -0.037, 95% CI -0.062 to -0.012, p  =  .004). Social policy configuration is strongly associated with food insecurity risk. Social policy changes may help lower food insecurity risk in countries with high risk.

Association of food insecurity with successful aging among older Indians: study based on LASI

PURPOSE

Whether food insecurity (FI), a social determinant of health, is linked with successful aging (SA) in the older generation remains uncertain. This study explored the association of FI with SA among older Indians.

METHODS

Data were collected from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-2018). Older adults (≥ 60 years) who completed both the FI and the SA surveys were selected. FI was indicated by the lack of access to enough food in the past year. SA was determined by five components: (1) low probability of diseases; (2) low probability of disability; (3) high cognitive functionality; (4) low probability of depression; and (5) active social engagement. The association of FI and SA was assessed using multivariable logistic regression adjusted for potential covariates. Subgroup analyses were performed to evaluate interactions with age, sex, alcohol use, smoking, and place of residence.

RESULTS

27,579 participants met the eligibility criteria. Overall prevalence was 7.13% for FI and 19.41% for SA. Following full adjustment, FI was inversely associated with SA (OR 0.56; 95% CI 0.49-0.65) and with each of SA's five components. No significant interactions of FI and SA were observed in subgroup analyses stratified by age, sex, alcohol use, smoking, or place of residence.

CONCLUSIONS

FI was inversely associated with SA among older Indians. These findings need to be validated by future studies which should also explore potential underlying mechanisms, and whether interventions decreasing FI might increase SA.

Food Insecurity and Premature Mortality and Life Expectancy in the US

Importance

Food insecurity has been linked to multiple causes of disease and premature mortality; however, its association with mortality by sex and across racial and ethnic groups remains unknown in the US.

Objective

To investigate the associations of the entire range of food security with all-cause premature mortality and life expectancy across racial and ethnic and sex groups in US adults.

Design, Setting, and Participants

This cohort study included adults (aged ≥18 years) who participated in the National Health and Nutrition Examination Survey from 1999 to 2018, with linkage to the National Death Index through December 31, 2019. Data analysis was performed from August to November 2023.

Exposures

Levels of food security were assessed with the US Department of Agriculture Adult Food Security Survey Module (full, marginal, low, and very low).

Main Outcomes and Measures

All-cause premature mortality (death that occurs before age 80 years) and life expectancy.

Results

The study included 57 404 adults (weighted mean [SE] age, 46.0 [0.19] years; 51.8% female; 12 281 Black individuals [21.4%]; 10 421 Mexican individuals [18.2%]; 4627 Other Hispanic individuals [8.1%]; 24 817 White individuals [43.2%]; and 5258 individuals of other races, including multiracial [9.2%]). During a median (IQR) of 9.3 (5.0-14.3) years of follow-up, 4263 premature deaths were documented. Compared with the full food security group, the adjusted hazard ratios were 1.50 (95% CI, 1.31-1.71), 1.44 (95% CI, 1.24-1.68), and 1.81 (95% CI, 1.56-2.10) across marginal, low, and very low food security groups, respectively (P < .001 for trend). The corresponding life expectancy at age 50 years in each group was 32.5 (95% CI, 32.4-32.6), 29.9 (95% CI, 28.9-30.9), 30.0 (95% CI, 28.9-31.0), and 28.0 (95% CI, 26.8-29.2) years. Equivalently, adults with marginal, low, or very low food security lived on average 2.6 (95% CI, 1.5-3.7), 2.5 (95% CI, 1.4-3.7), or 4.5 (95% CI, 3.2-5.8) fewer years at age 50 years, respectively, compared with those with full food security. The associations appeared to be stronger in women than in men (hazard ratios comparing very low food security with full food security, 2.29 [95% CI, 1.83-2.86] in women and 1.46 [95% CI, 1.19-1.78] in men; P = .009 for interaction) and stronger in White adults than in Black adults (hazard ratios comparing very low food security with full food security, 2.07 [95% CI, 1.70-2.53] in White adults and 1.33 [95% CI, 1.01-1.75] in Black adults; P < .001 for interaction) or in Hispanic adults (hazard ratios comparing very low food security with full food security, 1.06 [95% CI, 0.71-1.58]; P < .001 for interaction).

Conclusions and Relevance

In this cohort study, although the association of food security and life expectancy varied across sex and racial and ethnic groups, overall, lower levels of food security were associated with a higher risk of premature mortality and a shorter life expectancy. The findings of this study highlight the potential importance of improving food security in promoting population health and health equity.

Social Isolation, Loneliness, and Quality of Life Among Food-Insecure Adults

INTRODUCTION

Food insecurity is associated with adverse health outcomes, but may also have a detrimental effect on social relationships, potentially exacerbating social isolation and loneliness, and consequently affecting health-related quality of life. This study examined the associations of food insecurity with social isolation, loneliness, and health-related quality of life among U.S. adults.

METHODS

A retrospective cohort study was conducted using panel data from the 2020-2021 Medical Expenditure Panel Survey. Regression models were used to assess the associations of food insecurity in 1 year with the outcomes of interest in the subsequent year while adjusting for baseline individual-level characteristics. Analysis was conducted in December 2023.

RESULTS

Experiencing food insecurity in 2020 was significantly associated with increased reports of social isolation (3.1 percentage points [95% CI: 1.2-5.1]) and loneliness (9.7 percentage points [95% CI: 1.0-18.3]) in 2021. Additionally, food insecurity in 2020 was significantly associated with lower self-reported good mental health (-2.9 percentage points [95% CI: -5.1, -0.6]) and mental component summary score from the Short Form-12 Health Survey (-3.3 points [95% CI -3.8, -2.9]) in 2021. However, there were no or small associations with physical health-related quality of life.

CONCLUSIONS

Food insecurity is associated with worse social and mental well-being among U.S. adults. This suggests that food insecurity interventions should not focus too narrowly on nutrition, but instead give holistic consideration to the multiple ways food insecurity harms health-not only via lower quality diets, but through worse mental health and impairing the ability to participate in social life.

Use of wearables for monitoring cardiometabolic health: A systematic review

INTRODUCTION

Cardiometabolic disorders (CMD) such as hyperglycemia, obesity, hypertension, and dyslipidemia are the leading causes of mortality and significant public health concerns worldwide. With the advances in wireless technology, wearables have become popular for health promotion, but its impact on cardiometabolic health is not well understood.

PURPOSE

A systematic literature review aimed to describe the features of wearables used for monitoring cardiometabolic health and identify the impact of using wearables on those cardiometabolic health indicators.

METHODS

A systematic search of PubMed, CINAHL, Academic Search Complete, and Science and Technology Collection databases was performed using keywords related to CMD risk indicators and wearables. The wearables were limited to sensors for blood pressure (BP), heart rate (HR), electrocardiogram (ECG), glucose, and cholesterol.

INCLUDED STUDIES

1) were published from 2016 to March 2021 in English, 2) focused on wearables external to the body, and 3) examined wearable use by individuals in daily life (not by health care providers). Protocol, technical, and non-empirical studies were excluded.

RESULTS

Out of 53 studies, the types of wearables used were smartwatches (45.3%), patches (34.0%), chest straps (22.6%), wristbands (13.2%), and others (9.4%). HR (58.5%), glucose (28.3%), and ECG (26.4%) were the predominant indicators. No studies tracked BP or cholesterol. Additional features of wearables included physical activity, respiration, sleep, diet, and symptom monitoring. Twenty-two studies primarily focused on the use of wearables and reported direct impacts on cardiometabolic indicators; seven studies used wearables as part of a multi-modality approach and presented outcomes affected by a primary intervention but measured through CMD-sensor wearables; and 24 validated the precision and usability of CMD-sensor wearables.

CONCLUSION

The impact of wearables on cardiometabolic indicators varied across the studies, indicating the need for further research. However, this body of literature highlights the potential of wearables to promote cardiometabolic health.

Social, Behavioral, and Metabolic Risk Factors and Racial Disparities in Cardiovascular Disease Mortality in U.S. Adults : An Observational Study

BACKGROUND

Cardiovascular disease (CVD) mortality is persistently higher in the Black population than in other racial and ethnic groups in the United States.

OBJECTIVE

To examine the degree to which social, behavioral, and metabolic risk factors are associated with CVD mortality and the extent to which racial differences in CVD mortality persist after these factors are accounted for.

DESIGN

Prospective cohort study.

SETTING

NHANES (National Health and Nutrition Examination Survey) 1999 to 2018.

PARTICIPANTS

A nationally representative sample of 50 808 persons aged 20 years or older.

MEASUREMENTS

Data on social, behavioral, and metabolic factors were collected in each NHANES survey using standard methods. Deaths from CVD were ascertained from linkage to the National Death Index with follow-up through 2019.

RESULTS

Over an average of 9.4 years of follow-up, 2589 CVD deaths were confirmed. The age- and sex-standardized rates of CVD mortality were 484.7 deaths per 100 000 person-years in Black participants, 384.5 deaths per 100 000 person-years in White participants, 292.4 deaths per 100 000 person-years in Hispanic participants, and 255.1 deaths per 100 000 person-years in other race groups. In a multiple Cox regression analysis adjusted for all measured risk factors simultaneously, several social (unemployment, low family income, food insecurity, lack of home ownership, and unpartnered status), behavioral (current smoking, lack of leisure-time physical activity, and sleep <6 or >8 h/d), and metabolic (obesity, hypertension, and diabetes) risk factors were associated with a significantly higher risk for CVD death. After adjustment for these metabolic, behavioral, and social risk factors separately, hazard ratios of CVD mortality for Black compared with White participants were attenuated from 1.54 (95% CI, 1.34 to 1.77) to 1.34 (CI, 1.16 to 1.55), 1.31 (CI, 1.15 to 1.50), and 1.04 (CI, 0.90 to 1.21), respectively.

LIMITATION

Causal contributions of social, behavioral, and metabolic risk factors to racial and ethnic disparities in CVD mortality could not be established.

CONCLUSION

The Black-White difference in CVD mortality diminished after adjustment for behavioral and metabolic risk factors and completely dissipated with adjustment for social determinants of health in the U.S. population.

PRIMARY FUNDING SOURCE

National Institutes of Health.