Relevant bibliographies by topics / Socioeconomics status

Academic literature on the topic 'Socioeconomics status'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Socioeconomics status"

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Wirsching, H., C. Morel, P. Roth, and M. Weller. "OS7.6 Socioeconomic burden and associations with quality of life in meningioma patients." Neuro-Oncology 21, Supplement_3 (August 2019): iii15. http://dx.doi.org/10.1093/neuonc/noz126.049.

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Abstract BACKGROUND Socioeconomics affect the outcome of neurological patients, but the socioeconomic burden of brain tumors has not been studied in detail. PATIENTS AND METHODS This survey study in a clinically well-annotated cohort of meningioma patients was designed to explore socioeconomic status parameters at diagnosis and one year thereafter. The survey comprised level of education, profession, employment status, subjective work ability, monthly income and the EPICES social deprivation score. Quality of life (QoL) and symptom burden were queried utilizing the EORTC-QLQ-C30/BN20 and MDASI-BT. A multivariate binary regression model was applied to explore associations of socioeconomics with QoL. RESULTS Completed surveys were obtained from 249 of 410 patients (61%) who were invited to participate. The level of education was an apprenticeship or higher in 214 patients (86%). One year after diagnosis, there was a 20% decline in the fraction of employed patients and a more than twofold increase in unemployment and disability (p<0.001). There was a decrease in monthly income among patients with a baseline income below national average (p=0.008). On multivariate analyses, there was an association of inferior QoL with pre-operative unemployment or retirement (OR 2.43, 95% CI 1.02–5.88), whereas a subjective work ability of >70% was associated with better QoL (OR 0.37, 95% CI 0.15–0.92). CONCLUSION Socioeconomics assessments should be incorporated in prospective neuro-oncology clinical trials. A more detailed knowledge of the effects of socioeconomics on patient outcome will aid in identifying patients at risk for deterioration and allow to implement improved preventive and supportive strategies.
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Mooney, Edward S., and Carol A. Thornton. "Mathematics Attribution Differences by Ethnicity and Socioeconomics Status." Journal of Education for Students Placed at Risk (JESPAR) 4, no. 3 (July 1999): 321–32. http://dx.doi.org/10.1207/s15327671espr0403_9.

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Kirti, Prof. "Socio-Economic Survey: A Case Study of Village Bagda Doran District Dehradun, Uttrakhand." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (October 31, 2021): 920–28. http://dx.doi.org/10.22214/ijraset.2021.38507.

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Abstract: Socioeconomics is the field of study that examines social and economic factors to better understand how the combination of both influences something. Here is the report on the socioeconomic status of a small village which is situated on a hill near tourist spot Sahstaradhara. Socioeconomic study of villages is mainly for understanding the present condition of villages regarding the lifestyle, education status, health status, water hazards, food scarcity and overall development of rural areas. People of such areas are totally dependent on their shops which are in Sahastradhara. Apart from this, the people of the village are little engaged in primary activites like agriculture and forestry. Keywords: Field survey, Sex Ratio, Litteracy Rate, LPG
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Muzayyanah, Mujtahidah Anggriani Ummul, Sudi Nurtini, Rini Widiati, Suci Paramitasari Syahlani, and Tri Anggraeni Kusumastuti. "HOUSEHOLD DECISION ANALYSIS ON ANIMAL PROTEIN FOOD CONSUMPTION: EVIDENCE FROM D.I YOGYAKARTA PROVINCE." Buletin Peternakan 41, no. 2 (May 30, 2017): 203. http://dx.doi.org/10.21059/buletinpeternak.v41i2.18062.

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Food consumption pattern in Indonesia has change. Consumption of animal protein food is increasing as income increase. Animal protein foods are come from fish products and livestock products. The aim of this study is to analyze household decision on animal protein food consumption based on socioeconomics determinant of the households. Household expenditure data were used in this study. Discrete choice model is used to measure household decision in consuming these foods. Socioeconomics determinants are measured by Binary Logistic regression to know the influence of these to the household’s decision. Marginal effect value from binary logistic regression analysis showed that households tend to increase consuming animal protein food from livestock products varies from 0.5 to 6.09 times associated to socioeconomic factors of the households. Further research need to analyze nutritional status of the household’s members.
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Huang, Lyen C., Yifei Ma, Justine V. Ngo, and Kim F. Rhoads. "Do insurance status and neighborhood characteristics explain why minorities underutilize NCI cancer centers?" Journal of Clinical Oncology 30, no. 15_suppl (May 20, 2012): 6010. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.6010.

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6010 Background: National Cancer-Institute (NCI) designated cancer centers provide some of the highest quality cancer care in the US, in part due to the availability of cutting edge technologies and access to cancer clinical trials. Racial/ethnic minorities suffer from persistent disparities in cancer outcomes, and these groups are typically under-represented in clinical trials. This may be due in part to under-utilization of NCI centers by these groups. Methods: A unique dataset linking the California Cancer Registry with California patient discharge abstracts was used to identify patients undergoing resection for a primary diagnosis of colorectal cancer (CRC) (1996-2006). Travel distance to treatment hospital was determined using GIS software. Chi-square analysis correlated patient demographics, clinical characteristics, insurance status, and neighborhood socioeconomics with NCI center use. Multivariable regression models were constructed to predict the likelihood of using an NCI center. Results: 95,994 CRC patients were identified. Median travel distance for care was <5 miles. Only 12,659 (13%) lived within a 5 mile radius of an NCI center; and of those, fewer than 10% used the center for CRC care (n=1130). Black (OR 0.83 95%CI 0.72-0.95) and Hispanic (OR 0.72 95%CI 0.65-0.81) patients were less likely than white patients to use NCI centers. Neighborhood socioeconomics, but not insurance status, were significantly correlated with NCI under-utilization. Asian populations were more likely to use NCI centers than white patients (OR 1.40 95%CI 1.28-1.54). Conclusions: Black and Hispanic patients are less likely to use nearby NCI hospitals for CRC care. Outreach efforts in communities with low socioeconomic status and educational attainment may increase use of NCI centers, improve CRC outcomes, and increase minority enrollment in clinical trials.
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Mohajeri, Mahsa, Shiva Hoojeghani, Azimeh Izadi, Mohammad Ghahremanzadeh, Farhad Pourfarzi, Ali Nemati, and Ali Barzegar. "Food choice motivations among Ardabil – Iran adults?" Nutrition & Food Science 50, no. 4 (October 11, 2019): 641–52. http://dx.doi.org/10.1108/nfs-04-2019-0117.

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Purpose This study aims to investigate the food choice motivations and some healthy food intake among Ardabil adults with different socioeconomic status. Design/methodology/approach The analysis is based on a focus group study conducted in September 2018. Self-assessed other food choice motivations, healthy food intake and socioeconomic status were reported in questionnaires. The study data were analyzed by one-way ANOVA test and χ2 test in groups of study. Findings Price was a primary motivation of food choice for low-level socioeconomic status persons. The wealthiest people total vegetable consumption was 3.59Â ± 0.004 serving/day, whereas the total vegetable consumption of poorest participants was significantly less than them (p = 0.012). Of the socioeconomics category 1 (SEC1) group participants, 82 per cent said that they consider food price when they were purchasing for their households, while only 28 per cent of SEC4 group said that they consider food prices when food choosing. Only 1 per cent of this group participants pay attention to food label when they choose foods. Originality/value This is the first study that investigated the food choice motivations in Ardabil adults. The results indicated that food price is the most critical food choice motivation. Based on this study results, the food policymaker can change people food security and food choices with some programs like as healthy food subsidies and unhealthy food taxes.
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Chiappori, Pierre-André, Sonia Oreffice, and Climent Quintana-Domeque. "BLACK–WHITE MARITAL MATCHING: RACE, ANTHROPOMETRICS, AND SOCIOECONOMICS." Journal of Demographic Economics 82, no. 4 (November 14, 2016): 399–421. http://dx.doi.org/10.1017/dem.2016.20.

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Abstract:We analyze the interaction of black–white race with physical and socioeconomic characteristics in the US marriage market, using data from the Panel Study of Income Dynamics. We estimatewho inter-racially marries whomalong anthropometric and socioeconomic characteristics dimensions. The black women who inter-marry are the thinner and more educated in their group; instead, white women are the fatter and less educated; black or white men who inter-marry are poorer and thinner. While women in “mixed” couples find a spouse who is poorer but thinner than if they intra-married, black men match with a white woman who is more educated than if they intra-married, and a white man finds a thinner spouse in a black woman. Our general findings are consistent with the “social status exchange” hypothesis, but the finding that black men who marry white women tend to be poorer than black men who marry black women isnot.
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Shaffer, Nancy Chiles. "THE HIGH COST OF SOCIOECONOMICS ON RACIAL DISPARITIES IN HEALTHY AGING." Innovation in Aging 3, Supplement_1 (November 2019): S591. http://dx.doi.org/10.1093/geroni/igz038.2193.

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Abstract Race-related differences in overall health across the age-span are well established; how differences manifest within a cohort selected for good functional status is unclear. Using data from Black and White older adults aged 70-79, in the Health, Aging and Body Composition (Health ABC) study, we created a healthy aging index (HAI) of mental health, fitness, lung capacity, bone mineral density, inflammation, and metabolic syndrome. We assessed if racial differences existed in HAI, the extent education, financial resources and stress attenuated any observed differences, and whether this varied by site (Memphis v. Pittsburgh). Blacks had lower HAI than whites, adjusted for age and site. Further adjustment for finances and education eliminated the effect of race in women and reduced the effect in men by 64%. A significant interaction between site and financial stress was observed. Future research should assess ways to reduce the harmful impact of low socioeconomic status on health.
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Urban, Katelyn, Rachel Lynn Giesey, Maria Delost, and Gregory Raymond Delost. "An Update on the Global Burden and Socioeconomics of Scabies." SKIN The Journal of Cutaneous Medicine 4, no. 6 (October 27, 2020): 534–42. http://dx.doi.org/10.25251/skin.4.6.5.

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Introduction: Scabies represents a significant burden worldwide, but epidemiologically, how it relates to socioeconomic status, and impact of recent global interventions remains largely unknown.Methods: We analyzed global scabies trends from 2015 to 2017 in 195 countries worldwide through the Global Burden of Disease Study (GBD) database, including age-standardized prevalence rates, relationship to comorbidities, and age and sex patterns. We also compared scabies burden to a country’s socioeconomic status by using disability-adjusted life years and socio-demographic index, respectively. Results: The age-specific prevalence rate in 2017 demonstrated a right skewed distribution with a peak between 15 and 20 years of age, and a roughly equal male:female ratio across all ages. Scabies burden was higher in resource-poor countries. The world regions of Oceania, Southeast Asia, East Asia, and tropical Latin America had the greatest prevalence of scabies. The individual countries with highest scabies burden were Papua New Guinea (age-standardized DALYs 148.2), Solomon Islands (140.5), Kiribati (139.9), Timor-Leste (138.2) and the Maldives (134.9). A positive linear relationship exists between scabies burden and burden of rheumatic fever and bacterial skin disease.Conclusion: The burden of scabies is highest in children, adolescents, tropical climates, and low income countries. Rheumatic fever and bacterial skin disease burden is higher in areas where scabies burden is also higher. These global data may potentially serve as a purposeful measure for directing resources to improve the global burden of scabies.
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Dantoft, Thomas Meinertz, Steven Nordin, Linus Andersson, Marie Weinreich Petersen, Sine Skovbjerg, and Torben Jørgensen. "Multiple chemical sensitivity described in the Danish general population: Cohort characteristics and the importance of screening for functional somatic syndrome comorbidity—The DanFunD study." PLOS ONE 16, no. 2 (February 24, 2021): e0246461. http://dx.doi.org/10.1371/journal.pone.0246461.

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Background Multiple chemical sensitivity (MCS) is characterized by widespread symptoms attributed to exposure to airborne chemicals. MCS is categorized as a functional somatic syndrome (FSS), and MCS cases often meet the criteria for other types of FSS, e.g. fibromyalgia. The primary aim was to characterize MCS regarding symptom triggers, symptoms, lifestyle and describe demographics, socioeconomics and lifestyle factors associated with MCS. A secondary aim was to examine the implication of FSS comorbidity. Methods Data were derived from a random sample of the Danish adult population enrolled in the Danish Study of Functional Disorders (DanFunD; n = 9,656). Questionnaire data comprised information used to delimit MCS and four additional types of FSS, as well as data on demographics, socioeconomics and lifestyle. MCS cases (n = 188) was stratified into subgroups; MCS only (n = 109) and MCS with comorbid FSS (n = 73). Information regarding FSS comorbidities were missing for six MCS cases. MCS subgroups and controls without FSS comorbidities (n = 7,791) were compared by means of logistic regression analyses, adjusted for age and sex. Results MCS was associated with female sex, not being in occupation and low social status, but not with age or education. MCS cases reported normal dietary intake and smoking habits and lower alcohol consumption. Additional associations were found between MCS and low rate of cohabitation, sedentarism, daily physically limitations, and poor quality of sleep. However, subgroup analysis revealed that these findings were primarily associated with MCS with comorbid FSS. Conclusions MCS was associated with lower socioeconomic status, physically inactivity and poor quality of sleep. Subgroup analysis revealed that several associations was explained by FSS comorbidity, i.e. MCS cases with no comorbid FSS showed normal rate of cohabitation and did not report physical limitations or difficulties sleeping. Overall, our findings emphasise the importance of screening MCS cases for FSS comorbidity both in epidemiological and clinical settings.
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Dissertations / Theses on the topic "Socioeconomics status"

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Lucas, Robyn Marjorie, and robyn lucas@anu edu au. "Socioeconomic status and health: exploring biological pathways." The Australian National University. National Centre for Epidemiology and Population Health, 2004. http://thesis.anu.edu.au./public/adt-ANU20060426.095241.

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The cross-sectional Biomarkers Study was undertaken in Canberra, Australia (2000-2002) to examine the role of psychosocial factors in the socioeconomic health gradient, via physiological changes consequent upon activation of the neuroendocrine stress response.¶ The study population was derived from healthy 40-44 year old men and women already participating in a longitudinal cohort study. Using data from the cohort study, four groups with similar occupational status were formed. The study sample was randomly selected within these groups, thus representing the socioeconomic spectrum.¶ A pilot study involved 60 participants with blood and saliva samples measured on two occasions. A further 302 people had blood and saliva samples taken on one occasion. Socioeconomic status was measured by occupational code and status, personal and household income, education and perceived position in the community and in Australia. Psychosocial and behavioural factors, including job strain, job security, coping style, anxiety, depression, optimism, self-esteem, sense of belonging and trust, social support, smoking, exercise and alcohol intake were assessed by selfreport. Five biological parameters: plasma fibrinogen, glycated haemoglobin, waisthip ratio, serum neopterin and salivary IgA were measured as outcome variables.Three hypotheses were tested:¶ 1. There is a socioeconomic gradient in measures of psychosocial stress, and of psychological resilience.¶ 2. There is a socioeconomic gradient in biological measures that have a plausible¶ association with future disease. 3. Psychosocial factors mediate the demonstrated association between socioeconomic status and the biological measures.¶ Data analysis confirmed a socioeconomic gradient in some psychosocial and behavioural variables: economic strain (r=-0.44, p<0.001), job demands (r=0.45, p<0.001), job control (r=0.26, p<0.001), active coping style (r=0.28, p <0.001), sense of optimism (r=0.24, p<0.001), social capital (r=0.26, p<0.001), job security (r=0.17, p=0.002), job marketability (r=-0.16, p=0.005), sense of belonging (r=0.22, p<0.001), number of adverse life events (r=-0.13, p=0.01) and positive interaction with family and friends (r=0.20, p<0.001 ), vigorous physical activity (r=-0.16, p=0.002), alcohol consumption (r=0.30, p<0.001) and smoking status (r=-0.25, p<0.001). There was no socioeconomic gradient in anxiety, depression, neuroticism, hostility, locus of control, self-esteem, perceived stress or mental health (SF-12). Four of the five biological markers varied with socioeconomic status: plasma fibrinogen (female (F): r=-0.26, p=0.002, male (M) r=-0.08, p=0.30), glycated haemoglobin (F: r=-0.23, p=0.01, M: r=-0.11, p=0.17), waist-hip ratio (F: r=-0.19, p=0.03, M: r=-0.27, p<0.001), serum neopterin (F: r=-0.21, p=0.009, M: r=-0.04, p=0.56), salivary IgA (F: r=-0.07, p=0.38, M: r=0.004, p=0.97). A more adverse biological profile was associated with lower socioeconomic status. Work characteristics, coping style, smoking and exercise were particularly important mediators of the association between the biological markers and socioeconomic status. Particular psychosocial factors were consistent mediators of the association between specific biomarkers and socioeconomic status (with little variation for different measures of socioeconomic status). However, the particular psychosocial factors providing significant mediation varied for the different markers.¶ In this sample of healthy 40-44 year olds, four out of five biological markers showed moderate socioeconomic variation with a more favourable profile associated with higher SES. The data provide limited support for the importance of psychosocial factors in the socioeconomic health gradient.
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Norman, Patty C. "Teacher Attitudes and Perceptions of Low and High Socioeconomic Status Students." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4873.

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In this qualitative study, the author explored the perceptions of 10 middle-class, teachers regarding the socioeconomic class of both impoverished and advantaged students with whom they worked. Teachers in two public elementary schools from one Intermountain West school district participated; one school generally served children living in poverty and the other generally served affluent children. Through analysis of surveys, interviews, teacher journals, and researcher journal, the complex and often times contradictory feelings these teachers have about the socioeconomic class of students were revealed. Literature in class, socioeconomic class, deficit thinking, race and whiteness, and identity and multiple identities, situated the study. The author, who grew up in poverty herself, weaved in her own complex and often time contradictory memories and feelings about poverty throughout the manuscript. The work revealed that teacher’s positionality led them to a belief of “normal.” All teachers expressed the belief that parents were instrumental in determining their child’s academic success. Teachers had also not recognized that their perceptions contributed to student learning. Perceptions were based on teacher’s upbringing, belief system, gender, race, and class. Students at high socioeconomic schools were perceived to be leaders, well-dressed, supported by families, and in constant need of enrichment. In contrast, students at low socioeconomic schools were perceived to need discipline and structure, opportunities to gather background knowledge, and support from parents. Teacher’s felt student behavior was connected to their backgrounds, role models, race, class, and gender. Rarely did teachers feel students could attribute success or failure to their own actions. The final overarching theme was referred to as “SES-blind” in which teachers stated they did not notice the socioeconomic status (SES) of the students, or they felt all of their students were the same. The author noted there was much overlap between the literature on White teacher perceptions of children of color and teacher perceptions of children living in poverty.
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Pentikäinen, Linnéa, and Sarah Fagerström. "Skillnader i barns kostvanor beroende på socioekonomisk status." Thesis, Högskolan i Skövde, Institutionen för hälsa och lärande, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9662.

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Bakgrund: Låg socioekonomisk status ökar risken för osunda beteendemönster, bland annat vad gäller matvanorna. Barns levnadsvanor är av stor vikt, då grunden för deras framtida vanor läggs under barndomen.Syfte: Att beskriva skillnaderna i barns kostvanor beroende på vilken socioekonomisk grupp de tillhör.Metod: Litteraturstudie. Resultatet i tio vetenskapliga artiklar sammanfattades genom att söka återkommande ämnen, av vilka teman skapades.Resultat: Socioekonomiska faktorer, föräldrars inkomst och utbildningsnivå påverkar barns matvanor och måltidsmönster. Det framkom att låg socioekonomisk status vanligtvis innebär mer osund och mindre sund mat, samt mer oregelbundna måltidsmönster.Slutsats: Fler undersökningar av barns matvanor beroende på socioekonomisk status bör genomföras för att få bättre insikt i anledningarna till dessa. Detta för att kunna sätta in riktade interventioner i syfte att minska ojämlikheterna i kostvanor mellan barn.
Background: Socioeconomic differences influence the risk of unhealthy behavior, like the diet, among other things. Children’s habits are of extra importance, since future habits are established during childhood.Aim: To describe the differences in children’s diet due to socioeconomic background. Method: Integrative literature review. The results of ten scientific articles were summarized by searching for recurring topics, which were turned into themes.Results: Socioeconomic background, the parents’ income and the parents’ education affected the children’s diet and meal patterns. Low socioeconomic status were usually connected to more unhealthy foods, smaller amounts of healthy foods and irregular meal patterns. Conclusion: More studies of children’s diets due to socioeconomic background should be conducted to get better insight into the reasons for these differences. This should be done so that interventions aimed at closing the gaps of inequity between children in different socioeconomic groups can be implemented.
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Faulkner, Lina, and Cecilia Rosenius. "Brott, kön och socioekonomi i Uppsala : en analys av statistik om ungdomar misstänkta för brott i Uppsala kommun." Thesis, Högskolan i Gävle, Avdelningen för socialt arbete och psykologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-22173.

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Syftet med examensarbetet var att analysera ungdomsbrottsligheten i Uppsala kommun vad gäller brottstyper, områden och kön samt undersöka om det fanns några samband mellan ungdomsbrottslighet och socioekonomisk status på områdesnivå. Med hjälp av statistik över misstänkta ungdomar i åldern 13 till 20 i Uppsala kommun, så gjorde vi univariata och bivariata statistiska analyser. För att studera sambandet mellan områdesstatistik och misstankesfrekvens använde vi oss först av en korrelationsmatris, för att sedan gå vidare med en multipel linjär regressionsanalys. Resultaten visade på att det finns både skillnader och likheter gällande flickors och pojkars ungdomsbrottslighet. Den mest påtagliga skillnaden är dock frekvensen av misstankar. Vad gäller sambandsanalysen så förklarar den socioekonomiska statusen en relativ stor del av variansen i misstankesfrekvensen.
The aim of this thesis was to analyze delinquency in Uppsala regarding types of crime, neighborhoods and gender, as well as to study whether there was any correlation between delinquency and socioeconomics. By using data on suspected youths in the age of 13-20 in Uppsala, we did a univariate and bivariate statistical analysis. To study the relationship between the neighborhood structure and frequency of suspected youths we first used a correlation matrix and then proceeded with a multiple linear regression analysis. The results indicated that there are similarities and differences regarding delinquency of boys and girls. The most distinct difference was the frequency of suspected youths. Regarding the regression analysis, the socioeconomics explains a relatively large part of the variance of frequencies of suspected youths.
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Smith, Trevor K. "Relationships Between Political Competition and Socioeconomic Status in the United States." Walden University, 2013.

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Smith, Trevor K. "Relationships Between Political Competition and Socioeconomic Status in the United States." ScholarWorks, 2011. https://scholarworks.waldenu.edu/dissertations/1032.

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Over the past 30 years there has been an increase in socioeconomic inequities between Black and White persons in the United States. Some research suggests that political ideology, which in turn impacts political competition levels, may at least partially explain these disparities, though the body of academic literature in this area is sparse. Little is known about how Black political ideology is formed by perceptions of inequality. The purpose of this study was to examine the phenomenon of Black political ideology, political competition, and socioeconomic status to determine how political competition relates to social inequities between Blacks and Whites. The theoretical framework of the study was Lockean social contract theory. The overarching question guiding this study explored how competition could better defend natural rights to reduce social disparities and the obligations of government to equally protect, similarly to the protections of government historically extended to Whites. Multiple and multivariate regression models were developed using data from the 2010 General Social Survey, the 2010 American Community Survey, and the presidential election results of 2008. Results showed no significant relationship between Black beliefs of inequality with Black political ideology and that high political competition rates might contribute to the increasing Black/White socioeconomic gaps. Contrary to economic competition models developed through Locke's social contract, there was no evidence that political competition reduces socioeconomic inequities between Blacks and Whites. The implications for positive social change include education of policy makers that higher political competition rates in their states contribute to lower socioeconomic outcomes for Blacks.
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Greek, April A. "Pathways to differential adult mortality by socioeconomic status in the United States /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/8896.

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Seward, Hannah. "Socioeconomic status and weight loss behaviors." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3322.

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In the United States and many other countries, obesity is viewed as a public health crisis that must be handled. Many social and individual solutions to the problem are proposed in research and policy. On an individual level, many Americans try to get rid of their fat with a multitude of weight loss practices as part of a healthy lifestyle. Obesity rates, feelings towards fatness, and weight control behaviors are significantly affected by a number of sociocultural factors. In this project I explore the relationship between the desire to lose weight and weight control practices with income. Using data from the National Health and Nutritional Examination Survey (NHANES) 2009-2010 (N=4,341), I explore how income is associated with body satisfaction and weight control behaviors. I then examine if specific weight loss strategies differ by SES among those who have tried to lose weight (N=1,512). Results indicate that income impacts the desire to lose weight, weight loss attempts (OR=.778, CI=.663-.913), and some weight control strategies such as exercise (OR=1.392, CI=1.055-1.836), switching to lower calorie foods (OR=1.364, CI=1.027-1.813), and eating less fat to lose weight (OR=1.449, CI=1.094-1.919). However, other sociodemographic characteristics, such as education, gender, and race, played very important roles in predicting these behaviors. Overall, these findings suggest that an individual’s socioeconomic status influences feelings about one’s weight and what one does to change it, but it is only one piece of the puzzle. This study has several implications; most notably that one-size-fits-all obesity solution policy platform cannot be created if real changes are expected. Tailoring interventions to specific groups based on education and income are important to creating lasting change.
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Qasim, Mehwish. "Socioeconomic status and outcomes post-surgery." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6627.

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Compared to wealthy individuals, individuals with low socioeconomic status (SES) often receive health services of lower intensity or quality and have difficulty accessing care. This is particularly true in the area of inpatient surgery. Individuals with low socioeconomic status are often less likely than individuals associated with high socioeconomic status to receive timely surgical care, and less likely than high SES to receive evidence-based treatments for surgical care. Despite these large gaps, there is a lack of consensus whether disparities in surgical outcomes are primarily due to differences in patient characteristics such as acuity or whether they are attributable to disparities in the quality of surgical care among those with access. The overall goal of this dissertation is to illuminate the relationship between socioeconomic status and surgical outcomes. The project aims are: 1) classify trends in post-surgical quality and analyze data on the relationship between socioeconomic status and surgical outcomes; 2) to evaluate whether changes in access to care can eliminate disparities in outcomes by analyzing the impact of the Massachusetts health reform on socioeconomic disparities in inpatient surgery; and 3) to show the potential effects of SES on surgical outcomes by using the Theory of Fundamental Causes. To meet the study objectives, this study proposes to use data from the Nationwide Inpatient Sample (NIS) and the State Inpatient Database (SID). This approach uses socioeconomic information in the NIS and SID that is a quartile classification of the estimated median household income of residents in the patient’s ZIP Code. The outcomes of interest are widely used quality measures: post-surgery mortality and complications at the national level, post-surgical mortality in Massachusetts for select inpatient surgeries, and difference-in-difference estimates. The approach used to identify trends in post-surgical quality uses two analytical software products to analyze the NIS using a regression-based approach. Study findings will identify progress and gaps in the quality of inpatient surgical care over recent years and further determine whether improving access to care through policy design can eliminate or reduce disparities in surgical care outcomes. In the face of health reform, this research will offer important insight into the study of surgical disparities and potential impact following health policy changes such as the expansion of Medicaid, implementation of health insurance exchanges, and the individual mandate requiring individuals to obtain health coverage.
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Silva, Ana Cristina da. "De pequenino se torce o destino: o envolvimento na escola de crianças de meios socioeconómicos desfavorecidos." Master's thesis, Universidade de Évora, 2014. http://hdl.handle.net/10174/11942.

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As crianças com baixo estatuto socioeconómico são consideradas crianças mais vulneráveis e em risco de insucesso escolar. A literatura tem demonstrado que, no âmbito dos contextos de desenvolvimento são vários os fatores que parecem contribuir para um bom desempenho académico ou inversamente, para um baixo desempenho e em consequência para o insucesso escolar. Com o intuito de identificar quais os fatores de risco e proteção que permitem diferenciar os/as alunos/as com sucesso e insucesso escolar, procedeu-se à realização de entrevistas semiestruturadas a 16 alunos/as do 3º e 4º ano do ensino básico. As respostas dos/as participantes foram examinadas de forma “artesanal” e com recurso à técnica de analise de conteúdo. Os resultados desta investigação destacam a preponderância do contexto familiar enquanto fator de proteção contra o insucesso escolar. As características da criança e o seu nível de envolvimento na escola, emergiram igualmente enquanto fatores preditores da realização escolar, observando-se em simultâneo a influência dos pares e do/a professor/a sobre o desempenho académico dos/as alunos/as, no entanto ambos estes fatores revelaram um impacto menor que a família ou a própria criança sobre a realização escolar. Assim, esperamos contribuir para clarificar quais os fatores de risco e proteção da realização escolar e definir estratégias de intervenção que possam concorrer para reduzir o insucesso e abandono escolar; ‘De pequenino se torce o destino’ – The school engagement of children from disadvantaged background. Abstract: Children from low socioeconomic status are considered more vulnerable and at risk of school failure. Literature has shown that, within the contexts of development are several factors that appear to contribute to a successful academic performance or on the contrary, for a low performance and consequently for school failure. Aiming to identify the risk and protective factors that allow differentiating the successful from the unsuccessful students, semi-structured interviews were held with 16 students of the 3rd and 4th grades of primary school. The answers of the participants were analyzed manually and using the technique of content analysis. The results of this research, highlight the influence of family context as a protective factor against school failure. The children’s characteristics and their level of engagement in school, also emerged as predictors of school achievement, observing simultaneously the influence of peers and teacher on the academic performance of students, however both these factors revealed a minor impact that the family or the child itself on academic achievement. Thus, we hope to contribute to clarify which risk and protective factors influences school achievement, defining at the same time intervention strategies that may contribute to minimize school failure and dropout.
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Books on the topic "Socioeconomics status"

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Powers, Mary G. Measures of Socioeconomic Status. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429049170.

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Kim, Doo-Sub. Socioeconomic status, inequality and fertility. [Seoul, South Korea]: Population and Development Studies Center, Seoul National University, 1987.

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Reibert, Sarah, and Alice Jannings. Socioeconomic status and health implications. Hauppauge, N.Y: Nova Science Publisher's, 2011.

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Baum, Charles L. Age, socioeconomic status and obesity growth. Cambridge, MA: National Bureau of Economic Research, 2007.

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National Center for Health Statistics (U.S.), ed. Obesity and socioeconomic status in children and adolescents: United States, 2005-2008. Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2010.

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Carnevale, Anthony Patrick. Socioeconomic status, race/ethnicity, and selective admissions. New York: The Century Foundation, 2003.

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Currie, Janet M. Early test scores, socioeconomic status and future outcomes. Cambridge, MA: National Bureau of Economic Research, 1999.

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New York Academy of Sciences, ed. The biology of disadvantage: Socioeconomic status and health. Boston, Mass: Published by Blackwell Pub. on behalf of the New York Academy of Sciences, 2010.

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1942-, Ellis Lee, ed. Social stratification and socioeconomic inequality. Westport Conn: Praeger, 1993.

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Tsang, Wing Kwong. Educational and early socioeconomic status attainment in Hong Kong. Hong Kong: Hong Kong Institute of Asia-Pacific Studies, The Chinese University of Hong Kong, 1993.

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Book chapters on the topic "Socioeconomics status"

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Colabianchi, Natalie. "Socioeconomic Status." In Encyclopedia of Women’s Health, 1234–36. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-306-48113-0_412.

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Russell, Charles H., and Inger Megaard. "Socioeconomic Status." In Recent Research in Psychology, 73–104. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3890-4_4.

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Sariipek, Doğa Başar, and Bora Yenihan. "Socioeconomic Status." In Encyclopedia of Gerontology and Population Aging, 1–5. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_204-1.

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Lynch, Gordon S., David G. Harrison, Hanjoong Jo, Charles Searles, Philippe Connes, Christopher E. Kline, C. Castagna, et al. "Socioeconomic Status." In Encyclopedia of Exercise Medicine in Health and Disease, 797. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-29807-6_3048.

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Sirin, Selcuk R. "Socioeconomic Status." In Encyclopedia of Cross-Cultural School Psychology, 911–18. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-71799-9_395.

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Sariipek, Doğa Başar, and Bora Yenihan. "Socioeconomic Status." In Encyclopedia of Gerontology and Population Aging, 4704–8. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22009-9_204.

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Perkins, Amanda M. "Socioeconomic Status." In Applied Exercise Psychology, 197–209. New York, NY : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9780203795422-17.

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Nam, Charles B., and E. Walter Terrie. "Measurement of Socioeconomic Status from United States Census Data." In Measures of Socioeconomic Status, 29–42. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429049170-2.

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Villalba, Cynthia M. H. "Socioeconomic Status (SES)." In Encyclopedia of Quality of Life and Well-Being Research, 6210–12. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2805.

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Harrison, Cynthia M. "Socioeconomic Status (SES)." In Encyclopedia of Quality of Life and Well-Being Research, 1–3. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-69909-7_2805-2.

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Conference papers on the topic "Socioeconomics status"

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Hansen, John D., and Justin Reich. "Socioeconomic status and MOOC enrollment." In LAK '15: the 5th International Learning Analytics and Knowledge Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2723576.2723615.

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Ramsey, CD, R. Walld, E. Forget, K. Delaive, H. Prior, and M. Kryger. "Socioeconomic Status and Obstructive Sleep Apnea." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a1255.

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Parker, Miranda C., Amber Solomon, Brianna Pritchett, David A. Illingworth, Lauren E. Marguilieux, and Mark Guzdial. "Socioeconomic Status and Computer Science Achievement." In ICER '18: International Computing Education Research Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3230977.3230987.

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Eisner, MD, PD Blanc, G. Sanchez, EH Yelin, S. Sidney, PP Katz, TA Omachi, and C. Iribarren. "Socioeconomic Status and Acute Exacerbations of COPD." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a3759.

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Xie, Zhihao. "Selective Attention Ability’s Relationship with Socioeconomic Status." In 2021 6th International Conference on Modern Management and Education Technology（MMET 2021）. Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.211011.104.

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Acar, Selcuk. "Socioeconomic Status and Creativity: A Meta-Analysis." In 2022 AERA Annual Meeting. Washington DC: AERA, 2022. http://dx.doi.org/10.3102/1881587.

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Heidari, Hoda, and Jon Kleinberg. "Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract)." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/737.

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Opportunities such as higher education can promote intergenerational mobility, leading individuals to achieve levels of socioeconomic status above that of their parents. In this work, which is an extended abstract of a longer paper in the proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, we develop a dynamic model for allocating such opportunities in a society that exhibits bottlenecks in mobility; the problem of optimal allocation reflects a trade-off between the benefits conferred by the opportunities in the current generation and the potential to elevate the socioeconomic status of recipients, shaping the composition of future generations in ways that can benefit further from the opportunities. We show how optimal allocations in our model arise as solutions to continuous optimization problems over multiple generations, and we find in general that these optimal solutions can favor recipients of low socioeconomic status over slightly higher-performing individuals of high socioeconomic status --- a form of socioeconomic affirmative action that the society in our model discovers in the pursuit of purely payoff-maximizing goals. We characterize how the structure of the model can lead to either temporary or persistent affirmative action, and we consider extensions of the model with more complex processes modulating the movement between different levels of socioeconomic status.
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Ghazouani, Dhouha, Luigi Lancieri, Habib Ounelli, and Chaker Jebari. "Assessing Socioeconomic Status of Twitter Users: A Survey." In Recent Advances in Natural Language Processing. Incoma Ltd., Shoumen, Bulgaria, 2019. http://dx.doi.org/10.26615/978-954-452-056-4_046.

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Soesilo, Albertus Maqnus. "Socioeconomic Status and Gastrointestinal Infection in Developing Countries." In The 6th International Conference on Public Health 2019. Masters Program in Public Health, Graduate School, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/the6thicph.01.65.

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Blanpied, Evan, Jessica Good, and Tabitha Peck. "Shooter Bias and Socioeconomic Status in Virtual Reality." In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2019. http://dx.doi.org/10.1109/vr.2019.8797679.

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Reports on the topic "Socioeconomics status"

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Das, Sreyoshi, Camelia Kuhnen, and Stefan Nagel. Socioeconomic Status and Macroeconomic Expectations. Cambridge, MA: National Bureau of Economic Research, November 2017. http://dx.doi.org/10.3386/w24045.

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II, Charles L. Baum, and Christopher Ruhm. Age, Socioeconomic Status and Obesity Growth. Cambridge, MA: National Bureau of Economic Research, August 2007. http://dx.doi.org/10.3386/w13289.

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Meara, Ellen. Why is Health Related to Socioeconomic Status? Cambridge, MA: National Bureau of Economic Research, April 2001. http://dx.doi.org/10.3386/w8231.

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Cutler, David, Adriana Lleras-Muney, and Tom Vogl. Socioeconomic Status and Health: Dimensions and Mechanisms. Cambridge, MA: National Bureau of Economic Research, September 2008. http://dx.doi.org/10.3386/w14333.

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Kuhnen, Camelia, and Andrei Miu. Socioeconomic Status and Learning from Financial Information. Cambridge, MA: National Bureau of Economic Research, May 2015. http://dx.doi.org/10.3386/w21214.

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Currie, Janet, and Duncan Thomas. Early Test Scores, Socioeconomic Status and Future Outcomes. Cambridge, MA: National Bureau of Economic Research, February 1999. http://dx.doi.org/10.3386/w6943.

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Kapur, Kanika, Jeannette Rogowski, Vicki Freedman, Steven wickstrom, John Adams, and Jose Escarce. Socioeconomic Status and Medical Care Expenditures in Medicare Managed Care. Cambridge, MA: National Bureau of Economic Research, September 2004. http://dx.doi.org/10.3386/w10757.

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Safilios-Rothschild, Constantina. Socioeconomic Indicators of Women's Status in Developing Countries, 1970–1980. Population Council, 1986. http://dx.doi.org/10.31899/pgy1986.1001.

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From 1970–1980, several conferences were held and publications produced regarding the need to improve data collection on indicators of women’s status, as well as a number of publications offering concrete proposals for such improvements. During this period, the disaggregation of statistics by sex has expanded in many countries and indicators, and such disaggregated statistics are presented with increased frequency in international data compiled by United Nations specialized organizations. In addition, two major sets of statistics on the status of women have appeared. These statistics on socioeconomic indicators of the status of women in developing countries include statistics on men as well. The data cover 45 indicators for 75 countries at the beginning and end of the 1970–1980 decade. The statistics for the end of the decade cover 76 countries, because Zimbabwe was added. This monograph differs from already published monographs because of its inclusion of different types of indicators of women’s access to education, economic participation, and social visibility; the wider coverage of national published and unpublished statistics; the time period covered by the statistics; and the extent of the analysis of the available data on different indicators.
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Hustead, Georgie. Age, Intelligence, and Socioeconomic Status Variance in Preposition Acquisition by Children. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2172.

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Autor, David, David Figlio, Krzysztof Karbownik, Jeffrey Roth, and Melanie Wasserman. Males at the Tails: How Socioeconomic Status Shapes the Gender Gap. Cambridge, MA: National Bureau of Economic Research, May 2020. http://dx.doi.org/10.3386/w27196.

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