Food insecurity is associated with poor sleep outcomes among US adults

Translational science approaches for food insecurity research

Food insecurity is a pervasive problem that impacts health and well-being across the lifespan. The human research linking food insecurity to poor metabolic and behavioral health outcomes is inherently correlational and suffers from a high degree of variability both between households and even within the same household over time. Further, food insecurity is impacted by societal and political factors that are largely out of the control of individuals, which narrows the range of intervention strategies. Animal models of food insecurity are being developed to address some of the barriers to mechanistic research. However, animal models are limited in their ability to consider some of the more complex societal elements of the human condition. We believe that understanding the role that food insecurity plays in ingestive behavior and chronic disease requires a truly translational approach, and that understanding the health impacts of this complex social phenomenon requires understanding both its psychological and physiological dimensions. This brief review will outline some key features of food insecurity, highlighting those that are amenable to investigation with controlled animal models and identifying areas where integrating animal and human studies can improve our understanding of the psychological burden and health impacts of food insecurity. In the interest of brevity, this review will largely focus on food insecurity in the United States, as the factors that contribute to food insecurity vary considerably across the globe.

Sleep quality and associated factors among people who inject drugs in Iran: a nationwide survey using respondent-driven sampling

BACKGROUND

Poor sleep quality is a significant issue among people who inject drugs (PWID). This study aimed to evaluate sleep quality and associated factors among PWID in Iran.

METHODS

Using respondent-driven sampling, 2,652 PWID (2,563 male) were recruited in 11 major cities in Iran between 2019 and 2020. The Pittsburgh Sleep Quality Index was utilized to measure sleep quality, and logistic regression was used to assess associations in RDSAnalyst, a software designed for respondent-driven sampling.

RESULTS

The overall prevalence of poor sleep quality was 68.4% (68.3% among males and 70.2% among females). Married PWID had higher odds of poor sleep quality (Adjusted Odds Ratio (AOR): 1.41; 95% CI: 1.05, 1.91). Lack of access to sufficient food in the past 12 months was also associated with poor sleep quality (AOR: 1.73; 95% CI: 1.17, 2.57 for sometimes having no access, and AOR: 2.95; 95% CI: 1.93, 4.52 for always having no access compared to always having access). Additionally, good self-rated health was significantly associated with lower odds of poor sleep quality (AOR: 0.19; 95% CI: 0.11, 0.31).

CONCLUSION

Poor sleep quality is prevalent among PWID in Iran. It is recommended to mitigate the adverse effects of this issue and enhance the overall quality of life for PWID. Supportive interventions aimed at preventing and treating poor sleep quality, as well as improving overall health outcomes, are essential.

Sleep-related impairment among people who use opioids: The critical role of structural vulnerability

OBJECTIVE

People who use opioids are vulnerable to sleep disturbances due to a range of factors, including the substances they use and the various structural vulnerabilities they face. We aimed to understand the burden of sleep-related impairment and problems pertaining to sleep context and schedule among people who use opioids.

METHODS

We explored sleep quality and problems among a suburban sample of people who use opioids experiencing extensive structural vulnerabilities (N = 170). Participants reported their most urgent concern in the past week (e.g., sleep, drug use, housing), their sleep context, sleep problems, sleep schedules, and scores on the PROMIS Sleep-Related Impairment measure. We then quantified associations between Sleep-Related Impairment scores and sociodemographics and substance use.

RESULTS

Participants were primarily men (66%) and non-Hispanic Black (67%) with a mean age of 42 (SD: 12.1). Many experienced hunger (44%) and literal homelessness (40%). One-quarter (28%) reported that sleep was their most urgent concern in the past week. The most common problems when falling or staying asleep were mental health-related symptoms (81%) and pain/discomfort (32%). Literal homelessness (β = 2.2, 95% CI: 0.6, 3.7), hunger (β = 2.3, 95% CI: 1.0, 3.6), and frequent alcohol use (β = 1.5, 95% CI: 0.2, 2.7) were significantly associated with Sleep-Related Impairment scores.

CONCLUSIONS

Homelessness and hunger are associated with sleep-related impairment in people who use opioids. Poor sleep quality, substance use, structural vulnerability, and mental health problems are all interrelated sources of functional impairment in this population. Interventions that address poverty as an underlying cause of sleep-related impairment and provide safe sleeping environments are needed.

Food insecurity and the risk of sleep disorders in people living with HIV/AIDS as a neglected health concern: A national survey in Iran

Food insecurity (FI) and sleep problems are major modifiable health issues among people living with HIV/AIDS (PLWH), and there is limited knowledge about their prevalence among this underrepresented population. Our study aimed to assess the relationship between FI and sleep problems as important environmental factors affecting PLWH in Iran. The national survey was conducted on 1185 confirmed HIV-positive patients who attended consulting centers in 15 geographically diverse provinces in Iran, during 2021-2022. Standard questionnaires were used to measure FI and sleep problems (Insomnia, Obstructive Sleep apnea (OSA), Excessive Daytime Sleepiness (EDS), and Poor sleep quality), and a logistic regression model was used to assess the association between FI and the odds of experiencing sleep problems. About 764 (The prevalence of FI = 64.47 %) of the participants had insecure status, with a mean score of 11.73 (SE = 0.34). Those with FI had a higher prevalence of insomnia, EDS, and poor sleep quality (54.84 %, 31.79 %, and 55.17 %, respectively) compared to those without FI (30.69 %, 17.03 %, and 40.42 %, respectively). FI increased the odds of being at risk for Insomnia (OR = 2.39, 95 % CI: 1.81-3.15), EDS (OR = 1.44, 95 % CI: 1.04-2.01), and poor sleep quality (OR = 1.79, 95 % CI: 1.29-2.48) in the multiple regression model. The results highlight the strong association between FI and a broad range of sleep problems in PLWH. Considering the impact of FI and impaired sleep health on PLWH, more attention is needed for at-risk groups for screening and intervention purposes.

Examining ADHD and Cognitive Disengagement Syndrome Symptoms in Relation to Food Insecurity in Early Adolescents

Approximately 13.8 million U.S. households face food insecurity, which severely affects child development, with more than half of these households including children. Research links food insecurity to cognitive deficits and mental health challenges, highlighting the need for thorough understanding and intervention. Although existing studies have explored the association between food insecurity and internalizing symptomatology, less research has examined food insecurity in relation to attention-deficit/hyperactivity disorder (ADHD) symptoms. Further, no studies have explored the connection between food insecurity and cognitive disengagement syndrome (CDS) symptoms, closely related to ADHD symptoms. Despite extant research linking CDS to environmental factors, empirical attention to its potential association with food insecurity is notably lacking. Additionally, adolescents, almost twice as likely as younger children to experience household food insecurity, are likely more aware and respond differently to challenges during this developmental period. Accordingly, this study investigated the unique associations of parent-, teacher-, and youth self-reported ADHD dimensions and CDS symptoms in relation to parent-reported food insecurity in early adolescents (N = 136, ages 10-12). Controlling for age, sex, race, and medication use, no informant's ratings of ADHD symptom dimensions were uniquely related to food insecurity. In contrast, higher parent-, teacher-, and youth self-reported CDS symptoms were uniquely associated with greater food insecurity. This finding was robust to additional control of family income for teacher- and youth self-reported CDS symptoms. These findings highlight the complex link between food insecurity and mental health, suggest a connection with CDS symptoms, and stress the need to address food insecurity as a public health priority, especially in early adolescence.

Food sufficiency status and sleep outcomes in older adults: the National Health and Aging Trends Study (NHATS)

BACKGROUND

Studies investigating the relationship between food insecurity and sleep among older populations are limited. This study aimed to cross-sectionally examine the associations between food sufficiency status and sleep outcomes in a nationally representative sample of older adults.

METHODS

Our study included 1,665 older adults (≥ 65 years), using data from the 2013 and 2014 National Health and Aging Trends Study (NHATS). Food insufficiency was determined via participants' experience and utilization of food assistance programs (FAP). Sleep outcomes, including nighttime and total sleep hours, sleep latency, and sleep quality, were derived from self-reported data. Multivariable linear regression and logistic regression models were used to estimate the associations between food sufficiency status and sleep outcomes.

RESULTS

In 2013-2014, 86.1% of older adults were classified as food sufficient without FAP, 9.85% as food sufficient with FAP, and 4.08% as food insufficient. Adjusting for sociodemographic characteristics, food sufficient older adults with FAP reported more total sleep hours (𝛽 = 0.31, 95% CI: -0.02, 0.64) than those participants who are food sufficient without FAP. Further adjusting for health factors, food sufficient participants with FAP had more nighttime sleep hours and greater total sleep hours compared to those participants food sufficient without FAP. Compared to those deemed as food sufficient without FAP, food sufficient participants with FAP had lower odds of having longer sleep latency (OR = 0.50, 95% CI: 0.28, 0.89), after further adjusting for physical function performance.

CONCLUSIONS

Among older adults, food sufficiency with FAP is associated with greater total sleep hours, greater nighttime sleep hours, and lower odds of longer sleep latency. Our findings may help inform nutrition food assistance programs targeting older populations.

Longitudinal Associations of Diet, Food Insecurity, and Supplemental Nutrition Assistance Program Use with Global Cognitive Performance in Middle-Aged and Older Adults

BACKGROUND

Diet quality, food access, and food assistance policies may be key modifiable factors related to cognitive decline.

OBJECTIVE

We aimed to evaluate whether diet quality, food insecurity, and Supplemental Nutrition Assistance Program (SNAP) use are associated with longitudinal changes in cognition among older adults in the United States.

METHODS

Food intake data from the Health Care and Nutrition Study were linked with longitudinal health information from 5 waves of the Health and Retirement Study (2012-2020). The analytic sample (n = 6968) included community-dwelling United States adults aged ≥51 y without cognitive impairment. Global cognition was measured using a telephone-based cognitive status interview (range: 0-27). Diet quality was measured with the Healthy Eating Index, using participants' average intake of 13 dietary components. Questions regarding food access and affordability were used to determine food insecurity and use of SNAP benefits. Linear mixed-effects regression models were used to estimate longitudinal associations between diet-related factors and cognitive score changes.

RESULTS

Poorer diets [β: -0.24; 95% confidence interval (CI): -0.33, -0.15], food insecurity (β: -1.08; 95% CI: -1.31, -0.85), and SNAP use (β: -0.57; 95% CI: -0.82, -0.32) were associated with lower baseline cognitive scores. Poorer diets (β: -0.17; 95% CI: -0.29, -0.05) and food insecurity (β: -0.23; 95% CI: -0.47, -0.01) were associated with significantly steeper declines in cognitive scores over time, after 8 and 2 y of follow-up, respectively; however, SNAP use was not significantly associated with the rate of cognitive decline over time. Estimates were qualitatively similar when restricting the sample to participants aged ≥65 y.

CONCLUSIONS

Results suggest that food access and adherence to healthy diet recommendations may be important elements to maintain cognitive health in aging. SNAP benefits may be insufficient to prevent negative cognitive effects of poor diet and limited access to nutritious foods.

Food insecurity and its impact on substance use and suicidal behaviours among school-going adolescents in Africa: evidence from the Global School-Based Student Health Survey

The study sought to assess the prevalence and factors associated with Food Insecurity (FI) and further quantify its impact on substance use and suicidal behaviours (ideation, planning, and repeated attempted suicide) among school-going adolescents in Africa. The study involved a secondary analysis of cross-sectional data from the Global School-Based Student Health Survey (GSHS) conducted in Africa. Substance use and suicidal behaviours were the main outcomes. We employed the Double Selection Least Absolute Shrinkage and Selection Operator Poisson regression (DSLASSOPM) model to assess risk factors associated with FI and further employed Coarsened Exact Matching involving DSLASSOPM to assess the influence of FI on the study outcomes. Meta-analysis was conducted to obtain between-country heterogeneity in the prevalence of FI and the prevalence ratio of substance use and suicidal behaviours. The study involved 34,912 school-going adolescents. The pooled 30-day prevalence estimate of FI was 11.1% (95% CI  9.1-18.6), ranging from 6.7% (95% CI 5.0-8.3) in Tanzania to 18.4% (95% CI 14.4-22.4) in Benin. The most common associated factors included the experience of insomnia and the number of times injured. The pooled prevalence ratio of substance use, suicidal ideation, suicidal planning, and repeated attempted suicide among adolescents experiencing food insecurity were 1.92(95% CI 1.69-2.16), 1.56(95% CI 1.46-1.66), 1.50 (95% CI 1.41-1.58), and 1.90 (95% CI 1.73-2.07) respectively. A considerable heterogeneity between the sub-regions prevalence ratio for suicidal ideation and planning was also observed (I2 = 0, p value > 0.05). The study observed a high prevalence of food insecurity in West Africa with negligible heterogeneity between the countries. A significant positive association between FI and the study outcomes (substance use and suicidal behaviours) was observed. The study recommends country-specific social and school-based health interventions to screen risk factors associated with food insecurity for early identification. Measures to achieve Sustainable Development Goal 2 (Zero Hunger) by 2030 are key in these African countries and is likely to yield demographic dividends through improvement in mental health among school-going adolescents.

Associations between food insecurity and Sleep Duration, Quality, and Disturbance among older adults from six low- and middle-income countries

OBJECTIVES

Although food insecurity has been associated with poor sleep outcomes in young and middle-aged adults, few studies have examined this relationship in older adults. This study aimed to examine the relationship between food insecurity and sleep duration, quality, and disturbance among older adults in six low-income countries (LMICs).

DESIGN AND SETTING

We analyzed nationally representative cross-sectional data from 33,460 adults (≥50 years) from the Study on global AGEing and adult health (SAGE).

MEASUREMENTS

Food insecurity (FI) was assessed using two questions regarding the frequency of eating less and hunger caused by a lack of food. Sleep outcomes included self-reported sleep duration, sleep quality, and sleep disturbances (difficulty falling asleep, frequent sleep interruptions, and early awakening) assessed based on self-reports over two nights. Multivariable logistic regression was used to assess country-specific relationships between food insecurity and sleep outcomes, and random-effects models were used to estimate pooled associations.

RESULTS

The prevalence of FI among older adults in the overall population was 16.2%. In pooled analyses, FI was significantly associated with long sleep duration ≥ 9 h (OR=1.58, 95% CI: 1.30 to 1.93; P=0.001). There were also significant pooled associations between FI and poor sleep quality (OR=1.34, 95% CI: 1.14 to 1.56; P < 0.001) and sleep disturbances (OR=1.44, 95% CI: 1.08 to 1.91; P = 0.014).

CONCLUSIONS

In conclusion, the current study found that FI is adversely associated with sleep duration, quality and disturbances in older adults, with some heterogeneity by country. The findings suggest food policies and intervention programs are needed for vulnerable households.

Methods for Assessing Health Outcomes Associated with Food Insecurity in the United States College Student Population: A Narrative Review

In the United States, college students experience disproportionate food insecurity (FI) rates compared to the national prevalence. The experience of acute and chronic FI has been associated with negative physical and mental health outcomes in this population. This narrative review aims to summarize the current methodologies for assessing health outcomes associated with the experience of FI in college students in the United States. To date, assessing the health outcomes of FI has predominately consisted of subjective assessments, such as self-reported measures of dietary intake, perceived health status, stress, depression, anxiety, and sleep behaviors. This review, along with the emergence of FI as an international public health concern, establishes the need for novel, innovative, and objective biomarkers to evaluate the short- and long-term impacts of FI on physical and mental health outcomes in college students. The inclusion of objective biomarkers will further elucidate the relationship between FI and a multitude of health outcomes to better inform strategies for reducing the pervasiveness of FI in the United States college student population.

Sleep deprivation in development of obesity, effects on appetite regulation, energy metabolism, and dietary choices

Sleep deprivation, which is a decrease in duration and quality of sleep, is a common problem in today's life. Epidemiological and interventional investigations have suggested a link between sleep deprivation and overweight/obesity. Sleep deprivation affects homeostatic and non-homoeostatic regulation of appetite, with the food reward system playing a dominant role. Factors such as sex and weight status affect this regulation; men and individuals with excess weight seem to be more sensitive to reward-driven and hedonistic regulation of food intake. Sleep deprivation may also affect weight through affecting physical activity and energy expenditure. In addition, sleep deprivation influences food selection and eating behaviours, which are mainly managed by the food reward system. Sleep-deprived individuals mostly crave for palatable energy-dense foods and have low desire for fruit and vegetables. Consumption of meals may not change but energy intake from snacks increases. The individuals have more desire for snacks with high sugar and saturated fat content. The relationship between sleep and the diet is mutual, implying that diet and eating behaviours also affect sleep duration and quality. Consuming healthy diets containing fruit and vegetables and food sources of protein and unsaturated fats and low quantities of saturated fat and sugar may be used as a diet strategy to improve sleep. Since the effects of sleep deficiency differ between animals and humans, only evidence from human subject studies has been included, controversies are discussed and the need for future investigations is highlighted.

The association of the quality of life with Afghan households' food insecurity before and after the recent political change in Afghanistan: a comparative analysis

The overreaching objective of the current study is to investigate the association of quality of life with Afghan households' food insecurity. The data was collected immediately after the Taliban took control of a large part of Afghanistan. About a total of 555 households' heads participated in a face-to-face interview, using the HFIAS and WHOQOL-100 questionnaires along with some questions related to their socioeconomic characteristics at two different times, before and after the Taliban's takeover. The comparative analysis showed that 98% of Afghan households were food insecure after the Taliban takeover, while 70% of them faced food insecurity before the Taliban's takeover. The quality of life in the Taliban era is worse than before the Taliban. All dimensions of quality of life have decreased, and this decrease was more pronounced for the psychological, environmental, and physical domains. It is recommended that international organizations, NGOs, and local agents focus on these dimensions of the quality of life to improve food security.

Association of food insecurity and sleep difficulty among 189,619 school-going adolescents: a study from the global in-school students survey

Introduction

Adolescents' sleep disturbances are associated with chronic and dramatic physical, emotional, and mental development and school performance consequences. Although food insecurity could significantly contribute to these effects, few studies have explored the effect of food insecurity on sleep disturbances among adolescents. The study aimed to examine the relationship between adolescents' food insecurity and sleep disturbance.

Methods

Data on 189,619 adolescents were drawn from the cross-sectional global adolescent health surveys conducted between 2015 and 2018 in 35 countries and territories. Univariate and multivariable multinomial regression models were fitted to examine the hypothesized associations.

Results

Overall pooled prevalence of moderate [45.2% (95%CI = 43-47)] and severe [5.8% (95%CI = 5-6)] food insecurity levels were reported. About [52.6% (95%CI = 51-54)] moderate and [8.6% (95%CI = 8-9)] severe worry-induced sleep disturbances were found. Considering the fully adjusted multinomial logistic model, moderate food insecurity was significantly associated with moderate (AOR = 1.70 CI = 1.59-1.81; p < 0.0001) and severe (AOR = 1.63 CI = 1.42-1.87; p < 0.0001) sleep disturbances. Also, adolescents reporting severe levels of food insecurity had moderate (AOR = 1.88 CI = 1.68-2.11; p < 0.0001) and severe (AOR = 4.07 CI = 4.74-6.11; p < 0.0001) sleep disturbances. Females and those aged between 15 and 17 years and 18 or more were at higher risk of moderate and severe sleep disturbances in the context of food insecurity.

Conclusion

Reducing food insecurity could be an effective policy strategy for enhancing adolescent sleep quality.

Menopausal symptoms by HIV status and association with health-related quality of life among women in Zimbabwe: a cross-sectional study

BACKGROUND

The scale-up of antiretroviral therapy programmes has resulted in increased life expectancy of people with HIV in Africa. Little is known of the menopausal experiences of African women, including those living with HIV. We aimed to determine the prevalence and severity of self-reported menopause symptoms in women at different stages of menopause transition, by HIV status, and evaluate how symptoms are related to health-related quality of life (HRQoL). We further sought to understand factors associated with menopause symptoms.

METHODS

A cross-sectional study recruited women resident in Harare, Zimbabwe, sampled by age group (40-44/45-49/50-54/55-60 years) and HIV status. Women recruited from public-sector HIV clinics identified two similarly aged female friends (irrespective of HIV status) with phone access. Socio-demographic and medical details were recorded and women staged as pre-, peri- or post-menopause. The Menopausal Rating Scale II (MRS), which classified symptom severity, was compared between those with and without HIV. Linear and logistic regression determined factors associated with menopause symptoms, and associations between symptoms and HRQoL.

RESULTS

The 378 women recruited (193[51.1%] with HIV), had a mean (SD) age of 49.3 (5.7) years; 173 (45.8%), 51 (13.5%) and 154 (40.7%) were pre-, peri and post-menopausal respectively. Women with HIV reported more moderate (24.9% vs. 18.1%) and severe (9.7% vs. 2.6%) menopause symptoms than women without HIV. Peri-menopausal women with HIV reported higher MRS scores than those pre- and post-menopausal, whereas in HIV negative women menopausal stage was not associated with MRS score (interaction p-value = 0.014). With increasing severity of menopause symptoms, lower mean HRQoL scores were observed. HIV (OR 2.02[95% CI 1.28, 3.21]), mood disorders (8.80[2.77, 28.0]), ≥ 2 falls/year (4.29[1.18, 15.6]), early menarche (2.33[1.22, 4.48]), alcohol consumption (2.16[1.01, 4.62]), food insecurity (1.93[1.14, 3.26]) and unemployment (1.56[0.99, 2.46]), were all associated with moderate/severe menopause symptoms. No woman reported use of menopausal hormone therapy.

CONCLUSIONS

Menopausal symptoms are common and negatively impact HRQoL. HIV infection is associated with more severe menopause symptoms, as are several modifiable factors, including unemployment, alcohol consumption, and food insecurity. Findings highlight an unmet health need in ageing women in Zimbabwean, especially among those living with HIV.

Food insecurity and sleep health by race/ethnicity in the United States

Food insecurity, poised to increase with burgeoning concerns related to climate change, may influence sleep, yet few studies examined the food security-sleep association among racially/ethnically diverse populations with multiple sleep dimensions. We determined overall and racial/ethnic-specific associations between food security and sleep health. Using National Health Interview Survey data, we categorised food security as very low, low, marginal and high. Sleep duration was categorised as very short, short, recommended and long. Sleep disturbances included trouble falling/staying asleep, insomnia symptoms, waking up feeling unrested and using sleep medication (all ≥3 d/times in the previous week). Adjusting for socio-demographic characteristics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95 % confidence intervals (95 % CIs) for sleep dimensions by food security. Among 177 435 participants, the mean age of 47⋅2 ± 0⋅1 years, 52⋅0 % were women, and 68⋅4 % were non-Hispanic (NH)-White. A higher percent of NH-Black (7⋅9 %) and Hispanic/Latinx (5⋅1 %) lived in very low food security households than NH-White (3⋅1 %) participants. Very low v. high food security was associated with a higher prevalence of very short (PR = 2⋅61 [95 % CI 2⋅44-2⋅80]) sleep duration as well as trouble falling asleep (PR = 2⋅21 [95 % CI 2⋅12-2⋅30]). Very low v. high food security was associated with a higher prevalence of very short sleep duration among Asian (PR = 3⋅64 [95 % CI 2⋅67-4⋅97]) and NH-White (PR = 2⋅73 [95 % CI 2⋅50-2⋅99]) participants compared with NH-Black (PR = 2⋅03 [95 % CI 1⋅80-2⋅31]) and Hispanic/Latinx (PR = 2⋅65 [95 % CI 2⋅30-3⋅07]) participants. Food insecurity was associated with poorer sleep in a racially/ethnically diverse US sample.

Assessing the relationship between food insecurity and lifestyle behaviors among university students: a comparative study between Lebanon and Germany

BACKGROUND

Food insecurity is a common public health problem in both developed and developing countries. This study aimed to profile food insecurity among university students in a developed country with stable economic circumstances (Germany) and a developing Mediterranean country undergoing a severe economic and financial crisis (Lebanon) and examine the associations between food insecurity and lifestyle behaviors (i.e., physical activity, sleep, and adherence to a healthy eating pattern, such as the Mediterranean diet), stress, and financial well-being.

METHOD

This online cross-sectional study was conducted between September 2021 and March 2022. Subjects were recruited through social media platforms (Facebook, WhatsApp, Instagram, and personal email) and in-class announcements by several university professors of various majors and from different universities in Lebanon and Germany. The final sample included 547 participants (197 from Lebanon and 350 from Germany).

RESULTS

Our findings showed a higher food insecurity rate in Lebanon compared with Germany (59% versus 33%). In the bivariate analysis, food insecurity was associated with insomnia (r = 0.230; p < 0.001) and stress (r = 0.225; p = 0.001); German university students had higher physical activity (p < 0.001), better diet quality (p < 0.001), and lower adherence to the Mediterranean diet (p < 0001) than Lebanese students. In the multivariable analyses, more stress was related to insomnia (B = 0.178; p < 0.001), while financial well-being was not associated with any of the lifestyle behaviors. Physical activity, insomnia, and Mediterranean diet adherence were not associated with the country or food insecurity (p > 0.05); however, living in Germany was associated with better diet quality (B = -7.85; p < 0.001).

CONCLUSION

The high prevalence of food insecurity reported in this study is alarming, particularly among Lebanese students; German students had better diet quality and higher physical activity but worse adherence to the Mediterranean diet. Moreover, food insecurity was also associated with worse sleep and stress. Further studies are necessary to assess the role of food insecurity as a mediating factor between sociodemographic characteristics and lifestyle behaviors.

Food insufficiency, adverse childhood experiences and mental health: results of the Singapore Mental Health Study 2016

OBJECTIVE

This study aimed to investigate the prevalence and correlates of food insufficiency and its association with mental disorders and adverse childhood experiences (ACE) in Singapore.

DESIGN

This analysis utilised data from the Singapore Mental Health Study (SMHS 2016).

SETTING

SMHS 2016 was a population-based, psychiatric epidemiological study conducted among Singapore residents.

PARTICIPANTS

Interviews were conducted with 6126 respondents. Respondents were included if they were aged 18 years and above, Singapore citizens or permanent residents and able to speak in English, Chinese or Malay.

RESULTS

The prevalence of food insufficiency was 2·0 % (95 % CI (1·6, 2·5)) among adult Singapore residents. Relative to respondents who did not endorse any ACE, those with ACE (OR: 2·9, 95 % CI (1·2, 6·6)) had higher odds of food insufficiency. In addition, there were significant associations between lifetime mental disorders and food insufficiency. Bipolar disorder (OR: 2·7, 95 % CI (1·2, 6·0)), generalised anxiety disorder (OR: 4·5, 95 % CI (1·5, 13·5)) and suicidal behaviour (OR: 2·37, 95 % CI (1·04, 5·41)) were shown to be significantly associated with higher odds of food insufficiency.

CONCLUSIONS

The prevalence of food insufficiency is low in Singapore. However, this study identifies a vulnerable group of food-insufficient adults that is significantly associated with mental disorders, including suicidality. Government-funded food assistance programmes and multi-agency efforts to deal with the social determinants of food insufficiency, such as income sufficiency and early detection and intervention of mental distress, are key to ensuring a sustainable and equitable food system.

Food insecurity and health outcome nexus: empirical evidence from the informal sector enterprises in Bangladesh

BACKGROUND

Food insecurity indicates the difficulty of constantly obtaining adequate food because of limited economic resources. Food insecurity challenges the desired health outcomes. Although extensive literature has examined the associations between food security and health, low-wage informal sector workers have been less frequently addressed in this topic. The present study has focused on food insecurity among the workers working in the informal sector enterprises who experienced entrenched disadvantage during COVID-19 and examines the relationship between food insecurity and health status as measured by self-reported physical and mental health conditions.

METHODS

This study has utilized cross-sectional data collected from workers working in informal manufacturing and business enterprises in Dhaka city of Bangladesh. The Food Insecurity Experience Scale (FIES) with eight items is used to screen for food insecurity, and the Short Form 12v2 (SF12v2) scale with 12 questions, and validated for use with Bengali respondents, is used to measure the health status of the informal workers. A health production function has been constructed where the health status (both physical and mental) of workers is associated with food insecurity and other socio-economic and health care factors. Empirical analyses of the study have included descriptive statistics, mean score comparisons, and multivariate regression analyses to identify the predictive factors of the physical and mental health status of the workers.

RESULTS

A moderate to severe food insecurity is found to be responsible for the poor health status (both physical and mental) of the selected working group population. Moreover, age over 40 years, having a large family, dissatisfaction with the work place, and the prevalence of occupational health risks are linked to lower physical health, while dissatisfaction with the work place and the incidence of severe diseases contribute to poor mental health status along with food insecurity.

CONCLUSIONS

Extending social and economic protection towards health coverage and basic consumption is suggested as an immediate action to save lives and ensure productivity of the informal workers. Besides, an increase in income and ensuring decent working conditions are also recommended for the health, safety and satisfaction of workers working in informal sector enterprises.

Food insecurity is associated with an unhealthy lifestyle score in middle- and older-aged adults: findings from the EPIPorto cohort

The association of food insecurity with the combined effect of lifestyles is still limited. This study evaluated the association between food insecurity and a lifestyle score in middle- and older-aged adults. A cross-sectional study (2013-2016) was performed among 595 individuals (≥ 50 years) from the EPIPorto cohort (Porto, Portugal). Food security status was assessed using the US Household Food Security Survey Module: Six-Item Short Form. Information on fruit and vegetable consumption (F&V), physical activity (PA) practice, tobacco smoking, and alcohol consumption were included in a lifestyle score. Those with F&V < five portions/day, < 150 min/week of moderate-intensity PA or < 75 min/week of vigorous-intensity PA, current smokers, consumers of > one drink of alcoholic beverages in women, and > two in men were assigned with one point; all the others had nil points. The score could range from 0 to 4, and was further categorised into three categories. Food insecurity was positively associated with an unhealthy lifestyle profile (OR = 2.272; 95%CI:1.079-4.782), independently of the adjustment variables. Analysing each lifestyle component, food insecurity was associated with low PA practice (OR = 2.365; 95%CI:1.020-5.485). Individuals from food insecure households were more likely to have an unhealthy lifestyle profile. Public health strategies should be developed among food insecure individuals to promote healthy lifestyles.

Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research

STUDY OBJECTIVES

This review aims to assess the association between socioeconomic status (SES) and sleep health in the general population and the mediating effects of lifestyle and mental and physical health in this relationship.

METHODS

Observational studies testing the independent association between objective or subjective SES indicators and behavioral/physiological or clinical sleep health variables in the general population were included. PubMed/MEDLINE was searched for reports published from January 1990 to December 2019. The direction of effect was used as the primary effect measure, testing the hypothesis that low SES is associated with poor sleep health outcomes. Results are presented in the form of direction effect plots and synthesized as binomial proportions.

RESULTS

Overall, 336 studies were identified. A high proportion of effects at the expected direction was noted for measures of sleep continuity (100% for sleep latency, 50-100% for awakenings, 66.7-100% for sleep efficiency), symptoms of disturbed sleep (75-94.1% for insomnia, 66.7-100% for sleep-disordered breathing, 60-100% for hypersomnia), and general sleep satisfaction (62.5-100%), while the effect on sleep duration was inconsistent and depended on the specific SES variable (92.3% for subjective SES, 31.7% for employment status). Lifestyle habits, chronic illnesses, and psychological factors were identified as key mediators of the SES-sleep relationship.

CONCLUSIONS

Unhealthy behaviors, increased stress levels, and limited access to health care in low-SES individuals may explain the SES-sleep health gradient. However, the cross-sectional design of most studies and the high heterogeneity in employed measures of SES and sleep limit the quality of evidence. Further research is warranted due to important implications for health issues and policy changes.

CITATION

Papadopoulos D, Etindele Sosso FA. Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research. J Clin Sleep Med. 2023;19(3):605-620.

Food insecurity and insomnia-related symptoms among adults from low- and middle-income countries

Little is known about the relationship between food insecurity and sleep problems in low- and middle-income countries, while the mediators of this association are largely unknown. Therefore, we investigated the association between food insecurity and insomnia-related symptoms in six low- and middle-income countries (i.e., China, Ghana, India, Mexico, Russia, South Africa), and the potential mediators of this relationship. Cross-sectional, nationally representative data from the Study on Global AGEing and Adult Health (2007-2010) were analysed. Past 12-month food insecurity was assessed with two questions on the frequency of eating less, and on hunger owing to a lack of food. Insomnia-related symptoms referred to severe or extreme sleep problems in the past 30 days. Multivariable logistic regression and mediation analysis were conducted. Data on 42,489 adults aged ≥18 years were analysed (mean [standard deviation] age 43.8 [14.4] years; 50.1% females). The prevalence of any food insecurity and insomnia-related symptoms was 11.9% and 4.4%, respectively. After adjustment, compared with no food insecurity, moderate (odds ratio = 1.53, 95% confidence interval = 1.11-2.10) and severe food insecurity (odds ratio = 2.35, 95% confidence interval = 1.56-3.55) were significantly associated with insomnia-related symptoms. Anxiety, perceived stress, and depression mediated 27.7%, 13.5%, and 12.5% of the relationship between any food insecurity and insomnia-related symptoms, respectively (total percentage = 43.3%). Food insecurity was positively associated with insomnia-related symptoms in adults from six low- and middle-income countries. Anxiety, perceived stress, and depression explained a substantial proportion of this relationship. Addressing food insecurity itself or the identified potential mediators among people with food insecurity may lead to a reduction in sleep problems among adults in low- and middle-income countries, pending confirmation with longitudinal studies.

SNAP Participation and Emergency Department Use

OBJECTIVES

To examine whether Supplemental Nutrition Assistance Program (SNAP) participation is associated with emergency department use among low-income children and whether any such association is mediated by household food hardship and child health status and/or moderated by special health care needs (SHCN) status. We hypothesized SNAP to be associated with reduced likelihoods of emergency department use, with greater effect sizes for children with SHCN and mediation by food hardship and health status.

METHODS

In this secondary analysis, we estimated a bivariate probit model (with state-level SNAP administrative policies as instruments) within a structural equation modeling framework using pooled cross-sectional samples of children in low-income households from the 2016 to 2019 iterations of the National Survey of Children's Health (n = 24 990).

RESULTS

Among children with and without SHCN, respectively, SNAP was associated with: 22.0 percentage points (pp) (95% confidence interval [CI] 12.2-31.8pp) and 17.1pp (95% CI 7.2-27.0pp) reductions in the likelihood of household food hardship exposure (4.8pp difference-in-differences, 95% CI 2.3-7.4pp), 9.7pp (95% CI 3.9-15.5pp) and 7.9pp (95% CI 2.2-13.6) increases in the likelihood of excellent health status (1.9pp difference-in-differences, 95% CI 0.7-3.0pp), and 7.7pp (95% CI 2.9-12.5pp) and 4.3pp (95% CI 1.0-7.6pp) reductions in the likelihood of emergency department use (3.4pp difference-in-differences, 95% CI 1.8-5.1pp).

CONCLUSIONS

We found SNAP participation was associated with lower likelihoods of emergency department use, that better food hardship and health statuses mediated this association, and that effect sizes were larger among children with SHCN. Food hardship relief may improve outcomes for vulnerable children and the health systems serving them.

Food insecurity, sleep, and cardiometabolic risks in urban American Indian/Alaska Native youth

OBJECTIVES

Food insecurity contributes to racial/ethnic disparities in health. This is the first study to examine associations among food insecurity, sleep, and cardiometabolic outcomes in urban American Indian/Alaska Native (AI/AN) youth.

DESIGN

Participants were 142 urban AI/AN youth (mean age = 14 years, 58% female). Food insecurity and self-reported sleep disturbance were measured using validated surveys. A multi-dimensional sleep health composite was derived using questionnaires (ie, satisfaction, alertness) and actigraphy-derived indices (ie, duration, efficiency, regularity, timing). Cardiometabolic measures included body mass index, blood pressure, glycosylated hemoglobin, waist circumference, cholesterol, and triglycerides. Covariates were sex, age, and single-parent household.

RESULTS

Greater food insecurity was significantly associated with greater body mass index (b = 0.12, p = .015), higher systolic blood pressure (b = 0.93, p = .03), and greater sleep disturbance (b = 1.49, p < .001), and marginally associated with lower sleep health composite scores (b = -0.09, p = .08). There was a significant indirect path from greater food insecurity to greater waist circumference through poorer sleep health (0.11, 95% bootstrapping CI: [0.01, 0.30]).

CONCLUSION

Food insecurity is an important correlate of sleep and cardiometabolic health among urban AI/AN youth and should be addressed to reduce emerging health risks during this important developmental period. Policies to reduce food insecurity and increase access to healthy foods as well as sleep interventions for these youth could help, as preliminary findings suggest that sleep health may mediate the negative impact of food insecurity on cardiometabolic risks.

Food insecurity is associated with the sleep quality and quantity in adults: a systematic review and meta-analysis

OBJECTIVE

We evaluated associations between food insecurity (FI) and the quality and quantity of sleep in adults (≥18 years).

DESIGN

The current study represented a systematic review and meta-analysis of observational studies.

SETTING

Databases of PubMed, Scopus, Embase and Web of Science were searched from inception until 6 June 2022. Meta-analyses were conducted using random-effects models, and effect sizes were reported as OR and 95 % CI.

PARTICIPANTS

Data from ten eligible observational studies, including 83 764 participants, were included.

RESULTS

FI was associated with an increased risk of poor sleep quality (OR = 1·45; 95 % CI (1·24, 1·70), I2 = 95, P < 0·001, n 7). Besides, subgroup analysis showed increased risk of poor sleep quality corresponding to the severity of FI across mild (OR = 1·31; 95 % CI (1·16, 1·48), I2 = 0 %, P < 0·001, n 5), moderate (OR = 1·49; 95 % CI (1·32, 1·68), I2 = 0 %, P < 0·001, n 5) and severe (OR = 1·89; 95 % CI (1·63, 2·20), I2 = 0 %, P < 0·001, n 5) levels. Similarly, subgroup analysis by sleep problems showed that FI was associated with an increased the risk of trouble falling asleep (OR = 1·39; 95 % CI (1·05, 1·83), I2 = 91 %, P = 0·002, n 3) and trouble staying asleep (OR = 1·91; 95 % CI (1·37, 2·67), I2 = 89 %, P < 0·001, n 3). Moreover, FI was associated with the odds of shorter (OR = 1·14; 95 % CI (1·07, 1·21), I2 = 0 %, P < 0·001, n 4) and longer sleep duration (OR = 1·14; 95 % CI (1·03, 1·26), I2 = 0 %, P = 0·010, n 4).

CONCLUSIONS

Collective evidence supports that FI is associated with poor sleep quality and quantity in adults. Preventative and management strategies that address FI may provide health benefits beyond improving nutritional status per se.

The Ukraine–Russia War Is Deepening Food Insecurity, Unhealthy Dietary Patterns and the Lack of Dietary Diversity in Lebanon: Prevalence, Correlates and Findings from a National Cross-Sectional Study

Background: Due to Russia and Ukraine’s key roles in supplying cereals and oilseeds, the Russia–Ukraine war intensifies the current food availability and price challenges in Lebanon, which is a major wheat importer. Given these constraints, we conducted this study to assess the prevalence and correlates of food insecurity, low dietary diversity (DD), unhealthy dietary patterns, and the shifts in households’ food-related habits in response to the Russia–Ukraine war among a representative sample of Lebanese household’s members aged 18 years and above (N = 914). Methods: Data were collected between June and July 2022 using self-administered questionnaires; Results: Findings showed that nearly half of the households consume an undiversified diet (46%), and 55.3% ate fewer than two meals per day. The prevalence of food insecurity among Lebanese households was 74%, with one in every four households being severely food insecure. In addition, the majority of households’ members went out shopping and purchased food less than the pre-war period (68.7% and 70.3%, respectively). Furthermore, almost 68.3% of households’ members highlighted price increases for cereal products, which were the least available and most stocked items. Findings obtained through binary logistic regression also showed that food insecurity was two times higher among households with low monthly income, 35% higher among females, and three times higher among married participants; Conclusions: The impact of the Russia–Ukraine conflict on food security in Lebanon requires a systems-thinking approach as well as international effort to understand the challenges and find solutions to minimize the war’s negative effects.

Unpacking determinants and consequences of food insecurity for insulin resistance among people living with HIV: Conceptual framework and protocol for the NOURISH-OK study

Background:

Over the past four decades, advances in HIV treatment have contributed to a longer life expectancy for people living with HIV (PLWH). With these gains, the prevention and management of chronic co-morbidities, such as diabetes, are now central medical care goals for this population. In the United States, food insecurity disproportionately impacts PLWH and may play a role in the development of insulin resistance through direct and indirect pathways. The Nutrition to Optimize, Understand, and Restore Insulin Sensitivity in HIV for Oklahoma (NOURISH-OK) will use a novel, multi-level, integrated framework to explore how food insecurity contributes to insulin resistance among PLWH. Specifically, it will explore how food insecurity may operate as an intermediary risk factor for insulin resistance, including potential linkages between upstream determinants of health and downstream consequences of poor diet, other behavioral risk factors, and chronic inflammation.

Methods/design:

This paper summarizes the protocol for the first aim of the NOURISH-OK study, which involves purposeful cross-sectional sampling of PLWH (n=500) across four levels of food insecurity to test our conceptual framework. Developed in collaboration with community stakeholders, this initial phase involves the collection of anthropometrics, fasting blood samples, non-blood biomarkers, 24-hour food recall to estimate the Dietary Inflammatory Index (DII^®) score, and survey data. A 1-month, prospective observational sub-study (total n=100; n=25 for each food security group) involves weekly 24-hour food recalls and stool samples to identify temporal associations between food insecurity, diet, and gut microbiome composition. Using structural equation modeling, we will explore how upstream risk factors, including early life events, current discrimination, and community food access, may influence food insecurity and its potential downstream impacts, including diet, other lifestyle risk behaviors, and chronic inflammation, with insulin resistance as the ultimate outcome variable. Findings from these analyses of observational data will inform the subsequent study aims, which involve qualitative exploration of significant pathways, followed by development and testing of a low-DII^® food as medicine intervention to reverse insulin resistance among PLWH (ClinicalTrials.gov Identifier: NCT05208671).

Discussion:

The NOURISH-OK study will address important research gaps to inform the development of food as medicine interventions to support healthy aging for PLWH.

Food Security as Ethics and Social Responsibility: An Application of the Food Abundance Index in an Urban Setting

High levels of food insecurity signal the presence of disparities and inequities in local food access that have been shown to negatively impact the health and well-being of individuals and communities. Some argue that the lack of healthy, affordable and culturally relevant food within a community represents a troubling social and ethical concern for any society. The current research conducts an assessment of a specific community utilizing the framework outlined by the Food Abundance Index (FAI) scorecard. Combined with contemporary regional data on the demographics of the area, data revealed extremely low scores for both access and density dimensions. Our findings can help business, community and policymakers better understand and target evidence-based solutions to address the issue of food insecurity within this region.

Does Food Insecurity in Early Life Make People More Depressed?—Evidence from CHARLS

Based on the China Health and Retirement Longitudinal Study (CHARLS) data, this paper estimates the long-term association between food insecurity and later adult health and health behaviors with the Probit model. The results show that food insecurity in early life significantly increases adults’ depression likelihood (measured by the CES-D scale). The food insecurity experience is also negatively and significantly associated with individual self-rated health status, memory, sleep quality, and life satisfaction. The negative association between food insecurity and cognitive ability and sleep hours is larger for females.

Campus Food Pantry Use Is Linked to Better Health Among Public University Students

OBJECTIVE

To examine retrospectively whether access to a campus food pantry (CFP) is related to improvements in sleep, mental health, and physical health among college students in a public university system.

DESIGN

Retrospective, cross-sectional study of student CFP users who completed an online survey in the summer of 2019.

SETTING

Ten-campus University of California system.

PARTICIPANTS

A total of 1,855 students completed the survey.

MAIN VARIABLES MEASURED

Students reported the number of CFP visits in a usual week or month. Students retrospectively rated their perceived health, depressive symptoms, and sleep sufficiency before and after having food pantry access. The difference between pre- and post-food pantry access responses was calculated.

ANALYSIS

Path analysis was used to examine direct and indirect paths of the relationship between CFP visits with self-reported changes in depressive symptoms and perceived health through positive changes in self-reported sleep sufficiency, controlling for sociodemographic factors.

RESULTS

More monthly CFP visits were directly related to decreased depressive symptoms and improved perceived health (β_depressive = 0.10, P < 0.001; β_health = 0.12, P < 0.001). In addition, more CFP visits were related to improved sleep sufficiency (β = 0.09, P = 0.001), which in turn was related to a decrease in depressive symptoms (β = 0.24, P = 0.001; indirect effect: 0.02, P < 0.01) and improved perceived health (β = 0.23, P < 0.001; indirect effect: 0.02, P < 0.01).

CONCLUSIONS AND IMPLICATIONS

Findings suggest that college campus emergency food access is associated with self-reported improvements in student health outcomes associated with food security. Until more long-term solutions that improve college student nutrition are developed, food pantries may be filling a gap.

Association between food insecurity and major depressive episodes amid Covid-19 pandemic: results of four consecutive epidemiological surveys from southern Brazil

OBJECTIVE

To assess the association between household food insecurity (FI) and major depressive episodes (MDE) amid Covid-19 pandemic in Brazil.

DESIGN

Cross-sectional study carried out with data from four consecutive population-based studies.

SETTING

The study was conducted between May and June 2020, in Bagé, a Brazilian southern city. Household FI was measured using the short-form version of the Brazilian Food Insecurity Scale. Utilising the Patient Health Questionnaire-9, we used two different approaches to define MDE: the cut-off point of ≥ 9 and the diagnostic criteria proposed by the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR). Association between FI and MDE was analysed using crude and adjusted Poisson regression models.

PARTICIPANTS

1550 adults (≥ 20 years old).

RESULTS

The prevalence of household FI was 29·4 % (95 % CI 25·0, 34·4). MDE prevalence varied from 4·4 % (95 % CI 3·1, 6·0), when we used the DSM-IV-TR criteria to define this condition, to 9·6 % (95 % CI 7·3, 12·5) of the sample, when we used the cut-off point of ≥ 9 as definition. The prevalence of MDE was more than two times higher in those individuals living with FI, independent of the criteria adopted to define the outcome. Adjustment for potential confounders did not change the association's magnitude.

CONCLUSIONS

Household FI has been positively associated with MDE amid Covid-19 pandemic, independent of socio-demographic characteristics of participants. Actions are needed to warrant basic living conditions to avoid FI and hunger and its consequences for the Brazilian population, especially those consequences linked to mental health disorders.

The link between food insecurity and psychological distress: The role of stress exposure and coping resources

This study examines the association between food insecurity and mental health over a 3-year period. It also assesses the salience of life stressors and psychosocial coping resources for this association. We utilize data from a two-wave community survey of Miami-Dade County, Florida residents (N = 1488). Findings from SEM analysis reveal that greater food insecurity at W1 is associated with greater depressive symptoms at W2, lending credence to characterizations of food insecurity as a chronic stressor. This association is partly mediated by variation over the study period in social support and mastery. However, no significant mediating effects are observed for the social stress indicators assessed. Food insecurity is associated with diminished psychosocial coping resources, which leads to greater psychological distress. We discuss how these findings extend a stress and coping model of food insecurity, and implications for research and practice.

Using a Food Bank as a Platform for Educating Communities during the COVID-19 Pandemic

PURPOSE

To describe a partnership between a public university and a regional foodbank aimed to promote health in food insecure communities, and to support nursing students' learning experiences in community health.

DESIGN

A single setting case study.

METHODS

A comprehensive health needs assessment conducted through a windshield survey and key informant interviews was used to identify the community's priorities.

FINDINGS

Nursing interventions were tailored to the community's needs by creating healthy recipes and providing education on food safety, lower back injury prevention, and chronic disease prevention and 15 management.

CONCLUSION

During pandemics, nursing program partnerships with food banks could play pivotal roles in community health promotion.

CLINICAL EVIDENCE

Food banks can serve as clinical platforms for nursing education and community wellness activities.

Chronic pain and depressive symptoms are related to food insecurity among urban food bank users

BACKGROUND

Food bank users suffer high food insecurity. Food insecurity increases risk for chronic health conditions. However, chronic pain and its relation to food insecurity among food bank users is unknown. Knowledge about populations with chronic pain is important to direct appropriate public health nutritional strategies.

METHODS

Participants completed a survey including sleep, pain, depressive symptoms and food insecurity measures. Descriptive statistics characterized the burden of chronic pain among the sample, and a series of chi-square and t-tests assessed for demographic differences between food bank users who reported pain compared to those who did not. Logistic regression tested for variables predicting food insecurity.

RESULTS

Within the sample (N = 207), 53% reported a chronic pain diagnosis. Adults with pain were more likely to receive food stamps and to have a mental health condition than those without pain. Regression analyses revealed that depressive symptoms and chronic pain significantly predicted food insecurity when controlling for age and gender.

CONCLUSIONS

Exploring the link between depression, pain and nutritional resources may enhance understanding of causal relationships driving food insecurity. Public health officials should address nutritional needs of adults including those with chronic pain who use food bank services.

Food insecurity is associated with serious psychological distress among low-income California adults

This study examined differences in the associations between food insecurity and serious psychological distress (SPD) by key sociodemographic factors in a population-based sample of low-income adults from the 2017 California Health Interview Survey (n = 6266). After adjusting for sociodemographic characteristics, low food security, and very low food security were both positively associated with SPD among all low-income adults. Upon stratification, these associations were most pronounced among adults under age 50, males, and in adults with children. Understanding disparities in the associations between food insecurity and psychological distress is critical in developing effective programs or policies to target the most vulnerable sub-groups.

Caloric Restriction and Cardiovascular Health: the Good, the Bad, and the Renin-Angiotensin System

Much excitement exists over the cardioprotective and life-extending effects of caloric restriction (CR). This review integrates population studies with experimental animal research to address the positive and negative impact of mild and severe CR on cardiovascular physiology and pathophysiology, with a particular focus on the renin-angiotensin system (RAS). We also highlight the gaps in knowledge and areas ripe for future physiological research.

Lifestyle Factors and Sleep Health across the Lifespan

Sleep health, operationalized as a multidimensional construct consisting of sleep regularity, satisfaction, alertness, timing, efficiency, and duration, is an emerging concept in the field of sleep medicine which warrants further investigation. The purpose of the present study was to: (1) compare sleep health across the lifespan, (2) determine lifestyle factors associated with sleep health, and (3) examine whether lifestyle factors associated with sleep health varied between and within age groups. Participants consisted of 3284 individuals (Mean age = 42.70; 45% male) who participated in a cross-sectional online survey of sleep and health. Sleep health was measured using the RU-SATED scale, while demographic and lifestyle factors (e.g., daily social media use, sedentary activity, fast food consumption, etc.) were all self-reported. Sleep health was the highest among older adults (M = 8.09) followed by middle-aged (M = 7.65) and younger adults (M = 7.16). Across age groups, fast-food consumption, daily regularity, and daily TV, social media, or internet use were all negatively correlated with sleep health (ps < 0.05). Few differences in the association between lifestyle factors and sleep health across age groups were found. Overall, these findings may help to inform sleep health promotion efforts by targeting the most pertinent lifestyle factors for promoting sleep health.

Disentangling the Relationship between Food Insecurity and Poor Sleep Health

The COVID-19 pandemic has created disruptions in global and national food supply chains. Along with an increase in the unemployment rate, this resulted in a rise in food insecurity at the community-level, threatening individual and family well-being. Food insecurity is associated with inadequate nutrient intakes, weight gain, and psychological distress, including anxiety and depressive symptoms, all of which are known to affect sleep. Yet, little is known about whether and how food insecurity is associated with sleep health, a critical but underrecognized health outcome. This paper reviews literature describing associations between food insecurity and sleep, summarizes key findings based on proposed mechanisms, and discusses directions for future research.

Trajectory of Food Insecurity and Its Association with Longitudinal Mental Health and Sleep Outcomes in Adolescents from Economically Disadvantaged Families

BACKGROUND

Adolescence is a critical transition period in the course of human development. Although food insecurity (FI) has been shown to be associated with adverse mental health and sleep outcomes in US adolescents, there is a paucity of research examining the relationships between FI, mental health, and sleep outcomes in Taiwanese adolescents. Furthermore, it is unknown how the change of FI over time (i.e., the trajectory of FI) is related to health outcomes.

METHODS

The data come from the Taiwan Database of Children and Youth in Poverty, which is a national longitudinal project measuring FI in five survey waves (2009-2017). We employed group-based trajectory modeling to classify various FI trends over the five waves using STATA. Furthermore, a generalized estimating equation analysis was conducted with FI trajectories as the independent variable to see how FI trajectory is related to mental health and sleep outcomes.

RESULTS

In total, 1921 participants aged 12-18 years in the first wave were deemed valid for the analysis. We classified the participants into four FI trajectory groups: persistently low FI (24.8%), persistently moderate FI (64.7%), declining from high to low FI (4.1%), and food-secure groups (6.4%). As compared to food-secure adolescents, the persistently moderate FI group was more likely to have mental problems (β = 0.30, [95% confidence interval 0.21-0.38]), while the other FI groups were only marginally associated with mental health problems. Moreover, adolescents in the persistently low FI group (β = 0.13, [0.02-0.23]) and persistently moderate FI group (β = 0.39, [0.29-0.48]) were found to have more sleep problems than those in the food-secure group.

CONCLUSIONS

Our study describes the FI profile of adolescents from economically disadvantaged families and the difficulties they might encounter. With this information, healthcare providers can aid adolescents in the early stages of mental health problems and provide guidance when appropriate.

Examining Sleep Disturbance Among Sheltered and Unsheltered Transition Age Youth Experiencing Homelessness

BACKGROUND

The estimated 3.5-million transition age youth (TAY) who experience homelessness in the United States annually are routinely exposed to inadequate sleep environments and other psychosocial risk factors for deficient sleep. Although staying in a shelter versus being unsheltered may facilitate sleep, research suggests that perceived safety wherever one sleeps may be just as important. In this study, which is the first known study to investigate sleep disturbances among TAY experiencing homelessness, we examine associations of sleep disturbances with sheltered status and perceived safety of usual sleep environment.

METHODS

We surveyed TAY (aged 18-25) experiencing homelessness in Los Angeles, CA about their sleep, psychosocial health, and living situations. Participants (n=103; 60% sheltered) self-reported sleep disturbances using the Patient-Reported Outcomes Measurement Information System Sleep Disturbance short form, while individual items assessed sheltered status and perceived safety where they usually slept. Regression analyses examined associations of sheltered status and perceived sleep environment safety with sleep disturbance, adjusting for age, sex, race, self-rated health, depression symptoms, serious mental illness, high-risk drinking, and severe food insecurity.

RESULTS

Twenty-six percent of participants reported moderate-severe sleep disturbances. Sleep disturbance was not associated with sheltered status, but was positively associated with feeling unsafe in one's sleep environment, depression symptoms, severe food insecurity, and decreased age.

CONCLUSIONS

Our findings suggest that sleep disturbances among TAY experiencing homelessness are associated more closely with how safe one feels rather than one's sheltered status. This highlights the importance of providing safe places to live for sheltered and unsheltered TAY.

College student sleep quality and mental and physical health are associated with food insecurity in a multi-campus study

Objective:

To assess the relationship between food insecurity, sleep quality, and days with mental and physical health issues among college students.

Design:

An online survey was administered. Food insecurity was assessed using the ten-item Adult Food Security Survey Module. Sleep was measured using the nineteen-item Pittsburgh Sleep Quality Index (PSQI). Mental health and physical health were measured using three items from the Healthy Days Core Module. Multivariate logistic regression was conducted to assess the relationship between food insecurity, sleep quality, and days with poor mental and physical health.

Setting:

Twenty-two higher education institutions.

Participants:

College students (n 17 686) enrolled at one of twenty-two participating universities.

Results:

Compared with food-secure students, those classified as food insecure (43·4 %) had higher PSQI scores indicating poorer sleep quality (P < 0·0001) and reported more days with poor mental (P < 0·0001) and physical (P < 0·0001) health as well as days when mental and physical health prevented them from completing daily activities (P < 0·0001). Food-insecure students had higher adjusted odds of having poor sleep quality (adjusted OR (AOR): 1·13; 95 % CI 1·12, 1·14), days with poor physical health (AOR: 1·01; 95 % CI 1·01, 1·02), days with poor mental health (AOR: 1·03; 95 % CI 1·02, 1·03) and days when poor mental or physical health prevented them from completing daily activities (AOR: 1·03; 95 % CI 1·02, 1·04).

Conclusions:

College students report high food insecurity which is associated with poor mental and physical health, and sleep quality. Multi-level policy changes and campus wellness programmes are needed to prevent food insecurity and improve student health-related outcomes.

Sleep, Food Insecurity, and Weight Status: Findings from the Family Life, Activity, Sun, Health, and Eating Study

Background: Shorter sleep duration and lower sleep quality have been previously associated with greater obesity risk among adult samples. Food insecurity has also been found to impact sleep patterns and obesity. Yet few studies have explored associations between sleep, food insecurity, and obesity in adolescent populations, who may have more irregular sleep patterns. Thus, the objectives of this study were to determine associations between measures of sleep, food insecurity, and weight status. Methods: Data were obtained from the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study, an online cross-sectional study of parent and adolescent (12-17-year old) dyads. Participants were drawn from a Consumer Opinion Panel representative of the general population of the United States with respect to sex, education, income, age, household size, and region. First, multinomial logistic regression analyses were conducted to determine associations between sleep measures (adolescent-reported average nighttime sleep duration, having a regular bedtime, and having difficulty staying asleep), food insecurity (a validated two-item parent-reported measure), and weight status (being underweight, of healthy weight, overweight, and obese). Weight status was based upon adolescent BMI z-scores using Centers for Disease Control and Prevention growth charts using information from parent report of adolescent height and weight and adolescent-reported age and sex among adolescents (N = 1544). Conditional process models were also fitted to the data to determine whether food insecurity moderates the associations between sleep measures and weight status, and to determine whether the association between food insecurity and weight status is mediated by average sleep duration. Results: Compared to those with food security, a greater percentage of those with food insecurity reported having difficulties staying asleep and a longer average sleep duration. Multinomial logistic regression models demonstrated that having a regular bedtime was associated with lower odds of having obesity, having difficulties staying asleep was associated with greater odds of being underweight, and having food insecurity was associated with greater odds of being overweight. Conditional process models demonstrated that food insecurity did not moderate associations between sleep measures and weight status and that average nighttime sleep duration did not mediate the association between food insecurity and weight status. Conclusions: This is one of the first studies to examine associations between sleep, food insecurity, and weight status among adolescents. Results provide additional support for the need to uncover mechanisms for how sleep and food insecurity affect pediatric obesity using longitudinal data.

Associations of cumulative violence and structural vulnerability with restless sleep among female sex workers in Baltimore, Maryland

OBJECTIVE

To investigate correlates of restless sleep among street-based female sex workers (FSW) in the United States, an understudied population experiencing high rates of structural vulnerabilities (e.g., homelessness, food insecurity) and trauma.

METHODS

Using data from a cohort of street-based cisgender FSW (n = 236; median age = 35 years, 68% non-Hispanic White), we examined cross-sectional associations of individual, interpersonal, and structural factors with frequent restless sleep over the past week (5-7 vs. <5 days).

RESULTS

Participants reported a high prevalence of homelessness (62%), food insecurity (61%), daily heroin injection (53%), lifetime sexual or physical violence (81%), and frequent restless sleep (53%). Older age, food insecurity, poor self-rated health, and cumulative violence exposure were independently associated with frequent restless sleep.

CONCLUSION

Frequent restless sleep was prevalent among FSW with higher odds among those experiencing intersecting vulnerabilities and multiple exposures to violence. Further research on sleep health in this population is needed to understand its role in health risks.

The Relationship between Food Security Status and Sleep Disturbance among Adults: A Cross-Sectional Study in an Indonesian Population

Background: The relationship between food insecurity and the experience of sleep disturbance has received little attention among researchers, although food insecurity is associated with poor physical and mental health globally. This study aimed to investigate the relationship between food security status and sleep disturbance among adults 20–64 years old. Methods: The study’s population-based sample included 20,212 Indonesian adults who participated in the fifth wave of the Indonesia Family Life Survey (IFLS5) in 2014. Dietary intake data, gathered using a food frequency questionnaire (FFQ), were used to assess the food security status. Sleep disturbance was assessed using the 10-item Patient-Reported Outcomes Measurement Information System (PROMIS) questionnaire. We used multiple linear and logistic regression models to test the study hypothesis. Results: A higher likelihood of experiencing sleep disturbance was recorded in people aged older than 56 years (OR = 1.78, 95% CI: 1.17–2.72, p = 0.007), people with depressive symptoms (OR = 3.57, 95% CI: 2.77–4.61, p < 0.001), and food-insecure people (OR = 1.32, 95% CI: 1.02–1.70, p = 0.036). A lower likelihood of experiencing sleep disturbance was recorded in people with low educational attainment (OR = 0.41, 95% CI: 0.30–0.57, p < 0.001). Sleep disturbance was dependent on the food consumption groups and food security status among men (p = 0.004). Conclusions: Sleep disturbance may be affected by the food-insecure status of adults, and later, may lead to serious health outcomes.

Food insecurity among nursing students: A mixed methods study

BACKGROUND

College students are among 48.1 table million Americans who experience food insecurity, affecting aspects of daily living, health, and academic performance. This study sought to assess food security in nursing students to determine the prevalence and significance of this issue.

METHODS

A mixed-methods descriptive design was utilized to collect and analyze data through an online survey of junior and senior undergraduate nursing students. Both qualitative and quantitative questions were related to personal experience with food insecurity.

RESULTS

Approximately 40% of students responded that they were Sometimes/Often worried that food would run out before the next income arrived. In addition, 52% of the participants Sometimes/Often could not afford an adequate amount of food, and 35% reported having a shortage of food.

CONCLUSION

University leadership, College of Nursing administrators, and nursing faculty should be aware of food insecurity among their students and identify strategies to assess and decrease this issue.

Food insecurity is associated with multiple chronic conditions and physical health status among older US adults

In the past two decades, food insecurity has increased by 45% among older adults but its relationship to health outcomes has not been extensively studied. The objective of this study was to examine the associations between food insecurity, multiple chronic conditions, and self-reported health status among a nationally representative sample of older U.S. adults. Data came from the National Poll on Healthy Aging, a national cross-sectional survey conducted in December 2019 among 2,048 individuals aged 50–80 years. Food insecurity was assessed using the six-item short form of the USDA Food Security Survey Module. The primary outcomes of interest were the number of self-reported chronic conditions and self-reported physical health status. Multinomial logistic regression models were used to examine the associations between food security status and the outcomes of interest, adjusting for sociodemographic characteristics. The overall prevalence of food insecurity among older adults was 14%. After adjustment for sociodemographic characteristics, food insecurity was positively associated with multiple chronic conditions (RRR 1.60, 95% CI 1.08, 2.36, for 2–3 conditions vs. 0–1; RRR 2.59, 95% CI 1.55, 4.33 for 4–10 chronic conditions vs. 0–1). Food insecurity was also associated with lower self-reported health status (RRR 1.84, 95% CI 1.16, 2.93 for good vs. excellent/ very good health; RRR 5.13, 95% CI 3.08, 8.52 for fair/poor vs. excellent/very good health). Food insecurity is an important social determinant of health among older adults. These findings can contribute to clinical and public health efforts to simultaneously alleviate food insecurity and promote health behaviors among older adults.

Sleep and Obesity: Mechanisms of Association

Epidemiologic studies demonstrate that both prolonged and reduced sleep duration is associated with increased risk of excessive weight and obesity. The aim of the review was to analyze probable mechanisms of association of sleep duration and obesity elucidated in current scientific literature. Several proposed mechanisms of such an association exist: an imbalance of appetite regulating hormones resulting from decreased sleep duration; fatigue or decreased activity during the daytime, leading to sedentary behavior with decreased energy expenditure; changes in eating behavior with increased daily calorie intake. The article gives a comprehensive review of factors, mediating the association of sleep duration and obesity (age, gender, ethnic origin), studies of neurohormonal regulation of sleep in association with obesity (the influence of sleep duration on thermoregulation, appetite center – increased grelin-to-leptin ratio); the relationship of sleep with growth hormone and insulin-like growth factor-1, with hypothalamic-pituitary-adrenal axis, and non-hormonal factors, stimulating food intake. Data indicating that increased sleep duration is often associated with decreased sleep quality are presented. Besides traditional risk factors – unhealthy diet and decreased physical exercise, specific attention should be given to the problems, associated with sleep disorders to increase the efficacy of treatment and prevention of obesity.

Food Insecurity and the Risk of Obesity, Depression, and Self-Rated Health in Women

Background/Introduction/Objective: Recent studies have shown that food insecurity is associated with obesity, depression, and other adverse health outcomes although little research has been focused on these relationships in underrepresented cultural and social groups. In this study we elucidate the relationship between food insecurity, community factors, dietary patterns, race/ethnicity and health among underrepresented women. Materials and Methods: The data for this investigation come from a cross-sectional survey of women drawn from five urban Utah communities of color, including African immigrants/refugees, African Americans, Hispanics, American Indians/Alaska Natives, and Pacific Islanders, and women from four rural Utah counties. Multivariate logistic regression was used to assess the relationship between food insecurity and obesity risk, self-reported depression, and self-assessed health. Results: Urban women of color were more likely to report food insecurity than rural non-Hispanic white women. Obesity and depression scores were positively associated with food insecurity. Conclusions: Utah women of color had higher levels of food insecurity than reported in state or national data, highlight an important disparity. Nutritional education initiatives, evaluating food assistance programs, and screenings in clinical settings targeting specific racial/ethnic groups may help address the disparities observed in this study.

Household Food Insecurity and the Association with Cumulative Biological Risk among Lower-Income Adults: Results from the National Health and Nutrition Examination Surveys 2007-2010

Household food insecurity has been associated with adverse health outcomes; however, the mechanisms underlying these associations are not well-defined. Using data from 5005 adults from the 2007-2010 National Health and Nutrition Examination Surveys (NHANES), we examined associations between household food insecurity and cumulative biological risk, a measure of the body's physiological response to chronic stress. Household food security was assessed using the 18-item Household Food Security Survey Module. Marginal food security refers to 1-2 positive responses, and food insecurity refers to ≥3 positive responses. The cumulative biological risk scores were calculated based on the distributions of ten biomarkers from the cardiovascular, metabolic, and immune systems. Elevated biological risk was defined as a risk score of ≥3. Multivariable regression models were used to examine associations between food security and cumulative biological risk scores, adjusting for sociodemographic characteristics. After multivariable adjustment, food insecurity was associated with a 0.14-unit higher cumulative biological risk score (95% CI 0.05-0.22, p-trend = 0.003) and higher odds of elevated biological risk (OR 1.20, 95% CI 1.05-1.37, p-trend = 0.003). These associations differed by gender. Among women, food insecurity was associated with 0.30-unit higher cumulative biological risk score (95% CI 0.14-0.45, p-trend = 0.0004) and higher odds of elevated biological risk (OR 1.61, 95% CI 1.29-2.00, p-trend < 0.0001). These associations were not observed in men. Women experiencing food insecurity demonstrated elevated levels of biological risk. These findings support the hypothesis that food insecurity may be associated with women's chronic health outcomes through the pathway of chronic stress. Further research is needed to understand why these associations were not observed in men.

Measuring Food Insecurity Using the Food Abundance Index: Implications for Economic, Health and Social Well-Being

High levels of food insecurity signal the presence of disparities and inequities in local food access, which have been shown to negatively impact the health and well-being of individuals and communities. However, the approaches used to define and measure high food insecurity, also known as a "food desert", vary widely across research study and intervention methodology. This paper describes the development and validation of a measurement tool called the "Food Abundance Index" (FAI) which is a scorecard for assessing levels of food insecurity across five key dimensions: access, diversity, quality, density, and affordability. A pilot study was conducted to examine levels of food insecurity in order to test the extent to which the FAI can detect food deserts. Nine neighborhoods were selected based on the demographic characteristics of communities shown to be related to food insecurity. Our findings provide evidence that the Food Abundance Index provides a robust measurement tool to assess the extent of food insecurity within a community or neighborhood. Thus, this multidimensional scorecard can be used in future research to detect levels of food insecurity within urban areas and help to bridge the gap between academics, policymakers and practitioners in this important area.