Economic insecurity during the Great Recession and metabolic, inflammatory and liver function biomarkers: analysis of the UK Household Longitudinal Study

Background: Economic insecurity correlates with adverse health outcomes, but the biological pathways involved are not well understood. We examine how changes in economic insecurity relate to metabolic, inflammatory and liver function biomarkers. Methods: Blood analyte data were taken from 6520 individuals (aged 25–59 years) participating in Understanding Society. Economic insecurity was measured using an indicator of subjective financial strain and by asking participants whether they had missed any bill, council tax, rent or mortgage payments in the past year. We investigated longitudinal changes in economic insecurity (remained secure, increase in economic insecurity, decrease in economic insecurity, remained insecure) and the accumulation of economic insecurity. Linear regression models were calculated for nine (logged) biomarker outcomes related to metabolic, inflammatory, liver and kidney function (as falsification tests), adjusting for potential confounders. Results: Compared with those who remained economically stable, people who experienced consistent economic insecurity (using both measures) had worsened levels of high-density lipoprotein (HDL)-cholesterol, triglycerides, C reactive protein (CRP), fibrinogen and glycated haemoglobin. Increased economic insecurity was associated with adverse levels of HDL-cholesterol (0.955, 95% CI 0.929 to 0.982), triglycerides (1.077, 95% CI 1.018 to 1.139) and CRP (1.114, 95% CI 1.012 to 1.227), using the measure of financial strain. Results for the other measure were generally consistent, apart from the higher levels of gamma-glutamyl transferase observed among those experiencing persistent insecurity (1.200, 95% CI 1.110 to 1.297). Conclusion: Economic insecurity is associated with adverse metabolic and inflammatory biomarkers (particularly HDL-cholesterol, triglycerides and CRP), heightening risk for a range of health conditions

Occupations at risk and organizational well-being: an empirical test of a Job Insecurity Integrated Model

One of the more visible effects of the societal changes is the increased feelings of uncertainty in the workforce. In fact, job insecurity represents a crucial occupational risk factor and a major job stressor that has negative consequences on both organizational well-being and individual health. Many studies have focused on the consequences about the fear and the perception of losing the job as a whole (called quantitative job insecurity), while more recently research has begun to examine more extensively the worries and the perceptions of losing valued job features (called qualitative job insecurity). The vast majority of the studies, however, have investigated the effects of quantitative and qualitative job insecurity separately. In this paper, we proposed the Job Insecurity Integrated Model aimed to examine the effects of quantitative job insecurity and qualitative job insecurity on their short-term and long-term outcomes. This model was empirically tested in two independent studies, hypothesizing that qualitative job insecurity mediated the effects of quantitative job insecurity on different outcomes, such as work engagement and organizational identification (Study 1), and job satisfaction, commitment, psychological stress and turnover intention (Study 2). Study 1 was conducted on 329 employees in private firms, while Study 2 on 278 employees in both public sector and private firms. Results robustly showed that qualitative job insecurity totally mediated the effects of quantitative on all the considered outcomes. By showing that the effects of quantitative job insecurity on its outcomes passed through qualitative job insecurity, the Job Insecurity Integrated Model contributes to clarifying previous findings in job insecurity research and puts forward a framework that could profitably produce new investigations with important theoretical and practical implications

Institutional Insecurity

Already the world's second biggest energy consumer, China is presently on track to become the world's largest user of energy by the year 2030. This phenomenon has kindled a profusion of literature to address how China will meet this demand and the affect it will have on global energy security. Current analyses overwhelmingly focus on the notion that energy security is based on the assurance of reliable energy supply at a reasonable price, invoking a disproportionate emphasis on the security of China's oil supply. This is largely a result of the psychological elements arising from the uncertainty of guaranteed oil supplies for China. In reality, however, oil imports are merely one dimension of China's energy security concerns and not even the most important. Far less attention has been given to the more obscure though imperative factor of China's domestic energy institutions and their role in meeting the country's energy security challenges both at home and abroad

A competing risk model for health and food insecurity in the West Bank

This paper explores the interactions between the risk of food insecurity and the decision to health insure in the Palestinian Territories. The risk of adverse health conditions is insurable; the risk of food insecurity is a background risk and no market insurance exists. The vulnerability to food insecurity influences the individual utility from health insuring. We present a competing risk model to reveal this interdependence. We specify the empirical model as a bivariate probit model and evaluate the impact of food insecurity on the household decision to health insure. We find evidence of significant complementarity between the risk of food insecurity and the propensity to health insure. The predicted conditional probabilities reveal that the propensity to health insure is higher in presence of food insecurity among Palestinian households. This study shows that, in presence of a background risk, there are complementarities among risks that policy should be mindful of

Household food insecurity and mental distress among pregnant women in Southwestern Ethiopia : a cross sectional study design

Background: There are compelling theoretical and empirical reasons that link household food insecurity to mental distress in the setting where both problems are common. However, little is known about their association during pregnancy in Ethiopia. Methods: A cross-sectional study was conducted to examine the association of household food insecurity with mental distress during pregnancy. Six hundred and forty-two pregnant women were recruited from 11 health centers and one hospital. Probability proportional to size (PPS) and consecutive sampling techniques were employed to recruit study subjects until the desired sample size was obtained. The Self Reporting Questionnaire (SRQ-20) was used to measure mental distress and a 9-item Household Food Insecurity Access Scale was used to measure food security status. Descriptive and inferential statistics were computed accordingly. Multivariate logistic regression was used to estimate the effect of food insecurity on mental distress. Results: Fifty eight of the respondents (9 %) were moderately food insecure and 144 of the respondents (22.4 %) had mental distress. Food insecurity was also associated with mental distress. Pregnant women living in food insecure households were 4 times more likely to have mental distress than their counterparts (COR = 3.77, 95 % CI: 2.17, 6.55). After controlling for confounders, a multivariate logistic regression model supported a link between food insecurity and mental distress (AOR = 4.15, 95 % CI: 1.67, 10.32). Conclusion: The study found a significant association between food insecurity and mental distress. However, the mechanism by which food insecurity is associated with mental distress is not clear. Further investigation is therefore needed to understand either how food insecurity during pregnancy leads to mental distress or weather mental distress is a contributing factor in the development of food insecurity

Screening for Food Insecurity, Accessing Healthy Foods, and Resources for Patients

Food Insecurity and access to healthy food is a large health care issue in the United States, Vermont, and Chittenden County. This project aimed to educate health care providers at Colchester Family Practice about food insecurity to increase the amount of patients screened for food insecurity. The project also investigated local resources for people with food insecurity and made this information available to providers so they are better able to help people struggling with food insecurity.https://scholarworks.uvm.edu/fmclerk/1427/thumbnail.jp

Estimating the prevalence of hunger and food insecurity: The validity of questionnaire-based measures for the identification of households

This study had three objectives: (1) to assess the validity of questionnaire-based measures in identifying households experiencing hunger and food insecurity, (2) to examine the interrelationships of different questionnaire-based measures, and (3) to examine the construction of a continuous food insecurity scale intended to differentiate three levels of food insecurity within households. A 1993 survey of 193 randomly sampled rural households with women and children living at home provided data on demographics, risk factors for food insecurity, Radimer/Cornell, CCHIP, and NHANES III hunger and food insecurity items, coping strategies, fruit and vegetable consumption, disordered eating behaviors, height, weight, dietary recall, and household food-stores inventory. This information was used to develop a definitive criterion measure for hunger and food insecurity, against which the Radimer/Cornell and CCHIP questionnaire-based measures, the NHANES III item, and the continuous food insecurity scale were tested for their specificity and sensitivity in measuring levels of food insecurity.

PENGARUH JOB SATISFACTION DAN JOB INSECURITY TERHADAP TURNOVER INTENTION PADA COFFEE SHOP KOTA MALANG

This research aims to determine the influence of job satisfaction and job insecurity on turnover intention at Coffee Shops in Malang City. The sample in this study consisted of 55 employees using a purposive sampling technique. This type of research is explanatory research with a quantitative approach. The data collection technique in this research uses a questionnaire. The data analysis techniqueuses a range of scales and multiple linear regression with the SPSS version 27 software. The research results show that job satisfaction has a significant effect on turnover intention, job insecurity has a significant effect on turnover intention, job satisfaction and job insecurity have a significant effect on turnover intention, and job insecurity is the variable that has the most influence on turnover intention

Mapping food insecurity and food sources in New Hampshire cities and towns

Using a series of detailed New Hampshire maps, this brief presents a geographic picture of the towns and cities at risk for food insecurity as well as the food resources available across the state. By detailing places with high food insecurity risk and comparing them to places where food is available, these maps show areas of unmet need. This information will enable organizations partnering with New Hampshire Hunger Solutions to identify where initiatives addressing food insecurity and hunger could have the greatest potential impact

State-Level and County-Level Estimates of Health Care Costs Associated with Food Insecurity.

IntroductionFood insecurity, or uncertain access to food because of limited financial resources, is associated with higher health care expenditures. However, both food insecurity prevalence and health care spending vary widely in the United States. To inform public policy, we estimated state-level and county-level health care expenditures associated with food insecurity.MethodsWe used linked 2011-2013 National Health Interview Survey/Medical Expenditure Panel Survey data (NHIS/MEPS) data to estimate average health care costs associated with food insecurity, Map the Meal Gap data to estimate state-level and county-level food insecurity prevalence (current though 2016), and Dartmouth Atlas of Health Care data to account for local variation in health care prices and intensity of use. We used targeted maximum likelihood estimation to estimate health care costs associated with food insecurity, separately for adults and children, adjusting for sociodemographic characteristics.ResultsAmong NHIS/MEPS participants, 10,054 adults and 3,871 children met inclusion criteria. Model estimates indicated that food insecure adults had annual health care expenditures that were $1,834 (95$1,073-2,595, P < .001) higher than food secure adults. For children, estimates were 80 higher, but this finding was not significant (95% CI, -$171 to$329, P = .53). The median annual health care cost associated with food insecurity was $687,041,000 (25th percentile,$239,675,000; 75th percentile, $1,140,291,000). The median annual county-level health care cost associated with food insecurity was$4,433,000 (25th percentile, $1,774,000; 75th percentile,$11,267,000). Cost variability was related primarily to food insecurity prevalence.ConclusionsHealth care expenditures associated with food insecurity vary substantially across states and counties. Food insecurity policies may be important mechanisms to contain health care expenditures