Relevant bibliographies by topics / Socioeconomic status

Academic literature on the topic 'Socioeconomic status'

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Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Socioeconomic status"

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Cirino, Paul T., Christopher E. Chin, Rose A. Sevcik, Maryanne Wolf, Maureen Lovett, and Robin D. Morris. "Measuring Socioeconomic Status." Assessment 9, no. 2 (June 2002): 145–55. http://dx.doi.org/10.1177/10791102009002005.

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Brooks, Brandon, Howard T. Welser, Bernie Hogan, and Scott Titsworth. "SOCIOECONOMIC STATUS UPDATES." Information, Communication & Society 14, no. 4 (March 23, 2011): 529–49. http://dx.doi.org/10.1080/1369118x.2011.562221.

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Zimmer, Zachary, Heidi A. Hanson, and Ken Smith. "Childhood socioeconomic status, adult socioeconomic status, and old-age health trajectories." Demographic Research 34 (February 12, 2016): 285–320. http://dx.doi.org/10.4054/demres.2016.34.10.

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Shishehbor, Mehdi H., and David Litaker. "Socioeconomic Status and Mortality." Annals of Internal Medicine 144, no. 10 (May 16, 2006): 781. http://dx.doi.org/10.7326/0003-4819-144-10-200605160-00017.

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Alter, David A. "Socioeconomic Status and Mortality." Annals of Internal Medicine 144, no. 10 (May 16, 2006): 782. http://dx.doi.org/10.7326/0003-4819-144-10-200605160-00018.

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Grotto, Itamar, Michael Huerta, and Yehonatan Sharabi. "Hypertension and socioeconomic status." Current Opinion in Cardiology 23, no. 4 (July 2008): 335–39. http://dx.doi.org/10.1097/hco.0b013e3283021c70.

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Leng, Bing, Yana Jin, Ge Li, Ling Chen, and Nan Jin. "Socioeconomic status and hypertension." Journal of Hypertension 33, no. 2 (February 2015): 221–29. http://dx.doi.org/10.1097/hjh.0000000000000428.

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Gallo, Linda C., Karla Espinosa de los Monteros, and Smriti Shivpuri. "Socioeconomic Status and Health." Current Directions in Psychological Science 18, no. 5 (October 2009): 269–74. http://dx.doi.org/10.1111/j.1467-8721.2009.01650.x.

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Addo, Juliet, Luis Ayerbe, Keerthi M. Mohan, Siobhan Crichton, Anita Sheldenkar, Ruoling Chen, Charles D. A. Wolfe, and Christopher McKevitt. "Socioeconomic Status and Stroke." Stroke 43, no. 4 (April 2012): 1186–91. http://dx.doi.org/10.1161/strokeaha.111.639732.

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Dandona, R. "Socioeconomic status and blindness." British Journal of Ophthalmology 85, no. 12 (December 1, 2001): 1484–88. http://dx.doi.org/10.1136/bjo.85.12.1484.

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Dissertations / Theses on the topic "Socioeconomic status"

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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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Kazemekaityte, Austeja. "Socioeconomic Status and Individual Decision Making." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/321234.

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Socioeconomic disparities in life outcomes is a widely observed occurrence. In particular, low socioeconomic status (SES) has been related to a variety of behaviours that tend to perpetuate or even exacerbate the conditions that individuals of such social standing are already facing. The last two decades have been marked by a growing number of studies seeking to disentangle behavioural differences associated with one’s socioeconomic status that fuel the persistence of these differences. This Doctoral thesis joins the discussion by investigating a subset of behaviours associated with low SES. Three empirical chapters and one literature review seeks to answer the following questions: first, what are the consumer behaviour patterns exhibited by low SES individuals? Second, how do poverty-related thoughts influence consumption of (un)taxed temptation goods? Third, what is the effect of perceived individual control on intertemporal preferences? And fourth, how does salient socioeconomic status affect intertemporal choices regarding effort? Chapter 1 overviews literature on socioeconomic status and consumer happiness. We discuss channels through which low SES can impact consumption decisions and present main behavioural patterns of low SES consumers. Low SES has been found to have a significant impact on dietary patterns that include consumption of fruits and vegetables, foods with high calorie content, as well as consumption of temptation goods like alcohol, tobacco, and sugar-sweetened beverages. Moreover, low SES individuals also tend to engage in status-signalling behaviours, despite the scarcity of financial resources. We discuss how SES can delineate consumer happiness, in particular, regarding experiential and material goods. Finally, we review evidence on socioeconomic disparities in satisfaction with product-specific characteristics and health care as well as consumer loyalty. Chapter 2 presents an empirical investigation of the intersection between socioeconomic status and consumer behavior. In particular, we study demand for temptation goods such as alcohol, tobacco or high-calorie foods. One of the most conventional ways that governments control the consumption of these products is through taxes; however, a growing body of research shows the presence of numerous behavioral biases that might prove such fiscal policies less effective. One of these biases is related to financial worries - a concept familiar to deprived individuals. Previous studies have shown that increasing worries shift attention towards pressing needs, potentially at the cost of forward-looking decisions. We run an online experiment in which we manipulate financial worries and ask participants to choose between necessities and temptation goods in the experimental market. We also randomly impose taxes on temptation goods for a subset of participants. Results suggest that under financial worries and no taxes participants demand less temptation goods and this effect is stronger for lower income individuals. However, when taxes are introduced and financial concerns are salient, lower income participants do not react to taxes. This suggests that, on the one hand, financial worries can protect against over-consumption of temptation goods when there are no tax changes; however, low income consumers can be hurt the most when additional taxes are implemented. Chapter 3 investigates another psychological occurrence - a feeling of control - and its impact on intertemporal preferences. Generally, low SES individuals have less chances to exert control in their lives compared with high SES people. If perceived control has a substantial impact on the intertemporal choice, these disparities may have a long lasting impact that might make it harder to move up in terms of social status. In an online experiment we manipulate the feeling of control by asking participants to remember a certain situation. We vary control in terms of level - not having control vs being in full control – and type – being in a situation involving other people or a non-social situation. Afterwards, we ask participants to make intertemporal allocation decisions - either regarding a monetary experimental budget or a number of real effort tasks. We find no evidence of present bias in monetary discounting for either of the control treatments. Results are different for effort discounting: on aggregate level, participants in this condition reverse their preferences more often as they choose to perform more tasks sooner when the decision involves only future points in time, but less when the decision involves also present. Moreover, we find evidence of significant present bias in the low control condition. Allocation decisions are mediated by emotional states activated in the feeling of control manipulation: for money condition, the strongest mediator is the feeling of fear, while for effort discounting it is sadness. Overall, the results suggest that although recalling a situation of (no) control does not influence intertemporal allocation decisions regarding windfall money, it can impact decisions about the allocation of effort. Chapter 4 continues the discussion on intertemporal preferences and socioeconomic status. It is a well established that low SES is related to impatient behaviours. While many works have analyzed psychological channels which mediate this effect, such as cognitive load, stress, emotional affects, and self-control issues, this work seeks to test whether the mere salience of one’s subjective SES has an impact on intertemporal preferences regarding effort. In an online experiment, I prime participants on their SES and ask to make effort allocation decisions. I find that priming affects only low status participants: this group made more present-biased choices by postponing effort to the future even if it mean higher workload. No effect was found for nonprimed low SES participants or higher status individuals in both treatment and control groups. I conclude that even a mere act of making SES salient in your mind can have an adverse effect to low SES individuals by pushing them to postpone work to the future.
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Mumah, Joyce Ndueh. "Socioeconomic Status, Women, and HIV: Do the Determinants of Female HIV Vary by Socioeconomic Status in Cameroon?" DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1110.

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The HIV/AIDS epidemic is argued to be one of the greatest health challenges facing Sub-Saharan African countries, with more than 25 million Africans currently infected. Social epidemiology posits that for most types of illness, there is an inverse relationship between indicators with SES. In most developed nations, and in some developing countries, the incidence of HIV follows this classic pattern, with the poor having the greatest risk of infection and eventual mortality. However, a growing body of research on HIV in Sub-Saharan Africa suggests an intriguing reversal of this pattern, particularly with respect to HIV among women. In the Cameroonian case most specifically, previous research indicates that higher socioeconomic status women present higher rates of HIV infection compared to low socioeconomic status women, albeit rates higher than those in the United States. However, the mechanisms of risk appear to be distinct for each group. Using data from the 2004 National Demographic and Health Survey (DHS) in Cameroon, this paper explores relationships between the various indicators of socioeconomic status and HIV, as well as estimates and tests a series of multivariate models designed to highlight the distinct causal pathways that put higher SES women at increased risk of HIV. In general, my results show that women with increased resources had higher rates of HIV, confirming results published elsewhere. Additionally, women with riskier sexual behaviors also presented higher rates of infection. Counterintuitively, however, women with increased knowledge of HIV, more domestic making authority, and access to health care all had higher rates of HIV infection. Multivariate analysis revealed that the mechanisms of risk varied by socioeconomic status. For women in low socioeconomic group, what seemed to increase their risk was relative inequality (i.e. having a partner outside their socioeconomic bracket). Conversely, for women in the high socioeconomic group, their own sexual behavior seemed to account for their higher rates of HIV infection. What the results of this study indicated therefore was that the mechanisms of risk differed by SES and different approaches targeting each sub-group were needed to effectively combat the disease.
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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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Lucas, Robyn Marjorie. "Socioeconomic status and health : exploring biological pathways /." View thesis entry in Australian Digital Theses, 2003. http://thesis.anu.edu.au/public/adt-ANU20060426.095241/index.html.

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Fletcher, Kimberly. "Socioeconomic Determinants of HIV Status in Kenya." TopSCHOLAR®, 2008. http://digitalcommons.wku.edu/theses/366.

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The spread of Human Immunodeficiency Virus (HIV) is one of the greatest threats to stability and development in Kenya. The country's infection rate is estimated between seven and eight percent, making it one of the highest in the world. Several studies have been done that examine subpopulations such as truck drivers, sex workers, and migrants. However, to date there is little research that examines who, across the country, is contracting HIV. Kenya's 2003 Demographic and Health Survey includes data that make it possible to determine which groups have the highest odds of being infected. The question of who is contracting HIV in Kenya was examined using a structural violence framework. Proponents of the theory suggest that those marginalized for social or economic reasons in any society are at the highest risk of contracting infectious diseases. Because marginalization occurs in different spheres and to different degrees for men and women, only women were included in the analysis. Logistic regression was used in analyzing the data, with HIV status entered as the dependent variable. While a few of the hypotheses suggested by structural violence were supported by the data, the theory did not provide an adequate explanation for who is contracting the disease. However, the findings do have practical implications regarding who to target when trying to slow the spread of HIV in sub-Saharan Africa.
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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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Boyer, Zachary Alan. "Socioeconomic Status and Grit in Adolescent Students." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1597011838167245.

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

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

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L, Kincheloe Joe, and Steinberg Shirley R. 1952-, eds. Cutting class: Socioeconomic status and education. Lanham: Rowman & Littlefield Pubs., 2007.

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

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National Center for Health Statistics (U.S.), ed. Obesity and socioeconomic status in adults: 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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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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1943-, Auerbach James A., Krimgold Barbara Kivimae, National Policy Association (U.S.), and Academy for Health Services Research and Health Policy., eds. Income, socioeconomic status, and health: Exploring the relationships. Washington, D.C: National Policy Association, 2001.

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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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Book chapters on the topic "Socioeconomic 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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Perkins-Ball, Amanda M. "Socioeconomic Status." In Applied Exercise Psychology, 240–52. 2nd ed. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003279587-19.

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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 "Socioeconomic 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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Vasko, E., A. Kaur, J. Z. Reardon, and R. L. ZuWallack. "Socioeconomic Status and Pulmonary Rehabilitation Completion." In American Thoracic Society 2023 International Conference, May 19-24, 2023 - Washington, DC. American Thoracic Society, 2023. http://dx.doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a4686.

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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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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 "Socioeconomic 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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Abstract:
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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