62 research outputs found

    AGE DIFFERENCES AND MACROECONOMIC EFFECTS ON FOOD STAMP PROGRAM PARTICIPATION

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    Low income populations are more severely affected by economic downturns than their high income counterparts because they are at high risk of unemployment and face reduced earnings in recessions. The use of food stamp benefits and other types of welfare are one mechanism that families can use to buffer the economic shock brought about by income losses due to unemployment during a recession. As a result, during unfavorable economic conditions, low income households disproportionately rely on public assistance including food stamps. What is less understood are the differential effects of macroeconomic conditions on the participation propensities of different population subgroups. Of particular importance are differential effects by age. Depending on their age, poor workers are likely to experience different patterns of unemployment so that their welfare participation patterns also differ. For example, once older workers lose their jobs, their probability of re-employment is lower than that of their younger counterparts. The reduced expectations of re-employment coupled with fewer opportunities to invest in re-training are discouraging to older unemployed persons, often implying that job losses for older workers are permanent, and eventually lead to long term reliance on welfare programs. In contrast, younger poor workers have comparatively higher chances of re-employment and exit from welfare. Whether the age differences in welfare participation will remain unchanged during economic recessions as well is still unanswered. Understanding variations in FSP participation propensities across age groups and their dependency on macroeconomic conditions is essential to predict future demand for food stamp benefits and, by extension, other welfare programs. The continuing growth in FSP demand may point to unexpectedly large fiscal burdens for future taxpayers. Moreover, understanding differential effects of macroeconomic conditions on participation propensities for different groups will allow policy makers to better identify and eventually reach genuine needy families. Therefore, this study aims to investigate FSP participation patterns with a special emphasis on the differential impact of macroeconomic factors across several demographic groups with a particular focus on age cohort effects. Specifically, transitions into and out of FSP will be explicitly addressed using longitudinal data from the Survey of Income and Program Participation (SIPP) 2004 panel. To measure the impact of economic conditions, we match SIPP data with economic measures such as the unemployment rate and wages at the state level available from the Bureau of Labor Statistics. Using the data, monthly movements on and off of FSP of individuals is followed and categorized into entry sample and continuation sample. A household not participating in FSP in one month, and thus being part of the entry sample, can choose between entering or not entering FSP in the subsequent month. Similarly, a household enrolled in one month (and thus part of the continuation sample) can choose between either continuing to stay on FSP or exiting FSP in the next month. This gives rise to two types of transition models. The first model, referred to as the entry model, tackles the decision between entry versus non-entry into FSP, conditional on non-participation in the previous months. The second model, referred to as continuation model, addresses the decision between exiting from versus continuing FSP, conditional upon participation in the preceding month. Two transition models are estimated using probit technique while controlling for individual specific effects. This study finds several important results. First, there are significant age differences in entry into and exit from the FSP. The propensity of entry into the FSP among younger people is higher than among older people while young cohorts are more prone to exiting FSP than the oldest cohort of retired or retirement-bound people. The implication for the elderly is that once receiving FSP benefits, they are very likely to continue the FSP. Their observed low FSP participation rates can thus primarily be attributed to FSP entry barriers. Second, rising unemployment boosts FSP entry propensities and lengthens FSP spells. Changes in wage levels, however, affect neither entry nor exit propensities. Third, the effect of unemployment on FSP continuation propensities varies by age. The youngest cohort responds to increasing unemployment by drastically prolonging their FSP spells whereas the older extend their FSP spells more gradually. For the oldest cohort, FSP exit probabilities are even found to rise in association with rising unemployment, a phenomenon that can be explained by retirement and special transfer programs for the elderly.Food Stamp Program, Age, Macroeconomy, Transition, Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety, I38, J64,

    Identification of Primo-Vascular System in Abdominal Subcutaneous Tissue Layer of Rats

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    The primo-vascular system (PVS) is a novel network identified in various animal tissues. However, the PVS in subcutaneous tissue has not been well identified. Here, we examined the putative PVS on the surface of abdominal subcutaneous tissue in rats. Hemacolor staining revealed dark blue threadlike structures consisting of nodes and vessels, which were frequently observed bundled with blood vessels. The structure was filled with various immune cells including mast cells and WBCs. In the structure, there were inner spaces (20–60 µm) with low cellularity. Electron microscopy revealed a bundle structure and typical cytology common with the well-established organ surface PVS, which were different from those of the lymphatic vessel. Among several subcutaneous (sc) PVS tissues identified on the rat abdominal space, the most outstanding was the scPVS aligned along the ventral midline. The distribution pattern of nodes and vessels in the scPVS closely resembled that of the conception vessel meridian and its acupoints. In conclusion, our results newly revealed that the PVS is present in the abdominal subcutaneous tissue layer and indicate that the scPVS tissues are closely correlated with acupuncture meridians. Our findings will help to characterize the PVS in the other superficial tissues and its physiological roles

    Non-Invasive Epigenetic Detection of Fetal Trisomy 21 in First Trimester Maternal Plasma

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    BACKGROUND: Down syndrome (DS) is the most common known aneuploidy, caused by an extra copy of all or part of chromosome 21. Fetal-specific epigenetic markers have been investigated for non-invasive prenatal detection of fetal DS. The phosphodiesterases gene, PDE9A, located on chromosome 21q22.3, is completely methylated in blood (M-PDE9A) and unmethylated in the placenta (U-PDE9A). Therefore, we estimated the accuracy of non-invasive fetal DS detection during the first trimester of pregnancy using this tissue-specific epigenetic characteristic of PDE9A. METHODOLOGY/PRINCIPAL FINDINGS: A nested, case-control study was conducted using maternal plasma samples collected from 108 pregnant women carrying 18 DS and 90 normal fetuses (each case was matched with 5 controls according to gestational weeks at blood sampling). All pregnancies were singletons at or before 12 weeks of gestation between October 2008 and May 2009. The maternal plasma levels of M-PDE9A and U-PDE9A were measured by quantitative methylation-specific polymerase chain reaction. M-PDE9A and U-PDE9A levels were obtained in all samples and did not differ between male and female fetuses. M-PDE9A levels did not differ between the DS cases and controls (1854.3 vs 2004.5 copies/mL; P = 0.928). U-PDE9A levels were significantly elevated in women with DS fetuses compared with controls (356.8 vs 194.7 copies/mL, P<0.001). The sensitivities of U-PDE9A level and the unmethylation index of PDE9A for non-invasive fetal DS detection were 77.8% and 83.3%, respectively, with a 5% false-positive rate. In the risk assessment for fetal DS, the adjusted odds ratios of U-PDE9A level and UI were 46.2 [95% confidence interval: 7.8-151.6] and 63.7 [95% confidence interval: 23.2-206.7], respectively. CONCLUSIONS: Our findings suggest that U-PDE9A level and the unmethylation index of PDE9A may be useful biomarkers for non-invasive fetal DS detection during the first trimester of pregnancy, regardless of fetal gender

    Infrared spectroscopy characterization of normal and lung cancer cells originated from epithelium

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    The vibrational spectral differences of normal and lung cancer cells were studied for the development of effective cancer cell screening by means of attenuated total reflection infrared spectroscopy. The phosphate monoester symmetric stretching νs(PO32-) band intensity at ~970 cm-1 and the phosphodiester symmetric stretching νs(PO2-) band intensity at ~1,085 cm-1 in nucleic acids and phospholipids appeared to be significantly strengthened in lung cancer cells with respect to the other vibrational bands compared to normal cells. This finding suggests that more extensive phosphorylation occur in cancer cells. These results demonstrate that lung cancer cells may be prescreened using infrared spectroscopy tools

    Genetic Drivers of Heterogeneity in Type 2 Diabetes Pathophysiology

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    Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P \u3c 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care

    Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

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    Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P &lt; 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.</p

    Participation in the Supplemental Nutrition Assistance Program: The role of age and macroeconomic conditions

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    This dissertation investigates Supplemental Nutrition Assistance Program (SNAP) participation pattern highlighting the effects of age, cohort and macroeconomy in SNAP participation. The earlier portion of this research is dedicated to a description of the SNAP and other nutrition assistance programs. The chapter three addresses SNAP participation rates of birth cohorts over time with particular emphasis on age and cohort effects in order to better understand low SNAP participation among eligible elderly people. Using data drawn from the Current Population Survey March Supplements from 1980 to 2010, cohort participation rates were calculated and, thereby, decomposed by age, cohort and period effects. Controlling for cohort and period effects, the estimates of age effects indicate that aging is negatively associated with SNAP participation. Moreover, holding age constant, younger generations are less likely to depend on the SNAP than their parents. Combined with negative age effects, the estimated cohort effects imply that low participation of today\u27s elderly people is attributable to the age effects rather than generational differences in SNAP participation. Since younger generations have lower propensities to participate in the SNAP, participation rates may decrease further from the current level. However, the demand for SNAP benefits among the elderly still remains unclear because of the growing elderly population. In chapter four, transitions into and out of the SNAP were examined with particular focus on the macroeconomic impact differing by age. Provided that labor market conditions differentially affect the employment opportunities across age groups, this research aims to answer what would happen to age differences in SNAP participation if an economic downturn occurs. This study estimates the probability of entry into the SNAP and continuation of SNAP participation. Probit models were estimated using the Survey of Income and Program Participation (SIPP) 2004 panel. The estimation results indicate that older people are less likely to move into the SNAP but more likely to stay longer on the SNAP than younger people. Entry into the SNAP and continuation of SNAP participation increases during recessions and, conversely, they decrease during economic booms. Furthermore, the economic downturn leads to a different impact on entry and continuation of SNAP participation across age groups. The estimates indicate that people aged 20 to 39 increase the probability of entry at a higher rate compared to older people when the unemployment rate increases. On the contrary, people aged 40 to 59 extend their SNAP receipt at a higher rate in response to economic recessions than people aged 20 to 39

    Government credit policy

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    Factors Associated with Unmet Dental Care Needs among Korean Adult Cancer Survivors: Cross-Sectional Analysis of the 2016&ndash;2018 KNHANES

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    This study aimed to identify the factors associated with unmet dental care needs among Korean adult cancer survivors. This cross-sectional study used data from the seventh (2016&ndash;2018) Korea National Health and Examination Survey. It included 339 adult cancer survivors. Participants&rsquo; experience of unmet dental care needs was assessed using a health questionnaire survey. Moreover, the subjective oral health status (i.e., toothache) and behavior (i.e., toothbrushing and oral examination) were assessed through oral health interviews. The data were analyzed using descriptive statistics, chi-squared test, and logistic regression analysis. The rate of experience of unmet dental care needs among cancer survivors was 29.5%. Cancer survivors with limitations in performing daily activities of living were more likely to experience unmet dental care needs than cancer survivors without activity limitations ([aOR] = 2.14, [95%CI] = 1.04&ndash;4.40). Moreover, cancer survivors who did undergo oral examination within the past year were more likely to experience unmet dental care needs than cancer survivors who underwent oral examination ([aOR] = 2.49, [95%CI] = 1.22&ndash;5.07). Korean cancer survivors experienced unmet dental care needs when they did not receive an oral examination or had activity limitations. This study&rsquo;s findings provide insight into social and behavioral factors associated with unmet dental care needs among Korean cancer survivors

    Number of Teeth According to Hand Strength in Adults: A Cross-Sectional Study of 11,499 South Korean Adults

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    Background and Objectives: Grip strength is a measure of general health and is associated with oral health. This study aimed to investigate the relationship between the number of teeth and grip strength in Korean adults. Methods and Materials: We recruited adult participants who underwent oral examinations in the Korean National Health and Nutrition Examination Survey (KNHANES) between 2016–2018. When performing the KNHANES oral examination, an experienced dentist performed it according to the oral examination guidelines and recorded the results. A total of 24,269 participants from the 2016–2018 KNHANES were included in this study. Of these, only 16,489 participants underwent oral screening. A total of 3209 were non-adult children and adolescents, and 1781 did not respond to the grip strength test; those who did not respond to the main independent confounder were excluded. The relationships between grip strength, general characteristics, general health, oral health, and the number of remaining teeth were analyzed. There were 11,499 subjects in total in this study, with 4839 males and 6660 females. The age groups were 19–65 years of age, with 8387 subjects, and 65 years and older, with 3112 subjects, and the number of remaining teeth was 0–9 for 936 subjects, 10–19 for 1015 subjects, and 20–28 for 9548 subjects. Results: The probability that the higher the grip strength, the higher the residual number of gingiva was estimated by multinomial logistic regression analysis using complex sampling. The higher the grip strength, the higher the probability of having 20–28 teeth remaining (adjusted odds ratio, 1.59; 95% confidence interval, 1.19–2.13). Conclusions: Maintaining general health is related to maintaining teeth; the higher the grip strength, the higher the number of remaining teeth
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