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Artykuły w czasopismach na temat „Health; socioecomic position”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Nettle, Daniel, and Melissa Bateson. "Childhood and adult socioeconomic position interact to predict health in mid life in a cohort of British women." PeerJ 5 (June 29, 2017): e3528. https://doi.org/10.7717/peerj.3528.

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Galobardes, B., J. Lynch, and G. D. Smith. "Measuring socioeconomic position in health research." British Medical Bulletin 81-82, no. 1 (2007): 21–37. http://dx.doi.org/10.1093/bmb/ldm001.

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Turner, R. Jay, Tony N. Brown, and William Beardall Hale. "Race, Socioeconomic Position, and Physical Health." Journal of Health and Social Behavior 58, no. 1 (2017): 23–36. http://dx.doi.org/10.1177/0022146516687008.

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A substantial and long-standing body of research supports the widely held conclusion that socioeconomic position (SEP) is a primary determinant of physical health risk. However, supporting evidence derives almost entirely from studies of dominantly white populations, and more recent research suggests that this relationship may vary across race-ethnicity. This article considers the extent to which such evidence applies to African Americans. It does so by examining the within-race relationships between SEP and physical health utilizing alternative research definitions of health and a nearly exha

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Gianaros, Peter J., and Stephen B. Manuck. "Neurobiological Pathways Linking Socioeconomic Position and Health." Psychosomatic Medicine 72, no. 5 (2010): 450–61. http://dx.doi.org/10.1097/psy.0b013e3181e1a23c.

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Moreno-Maldonado, Concepción, Pilar Ramos, Carmen Moreno, and Francisco Rivera. "Direct and Indirect Influences of Objective Socioeconomic Position on Adolescent Health: The Mediating Roles of Subjective Socioeconomic Status and Lifestyles." International Journal of Environmental Research and Public Health 16, no. 9 (2019): 1637. http://dx.doi.org/10.3390/ijerph16091637.

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The use of composite indices and subjective measures to evaluate socioeconomic position, taking into account the effect of inequalities on adolescent health-related behaviors, can contribute to understanding the effect of inequalities on health during adolescence. The aim of this study was to examine the direct and indirect contribution of objective and subjective socioeconomic factors in a broad range of health and lifestyles outcomes. The data come from a representative sample of adolescents (N = 15,340; M age = 13.69) of the Health Behavior in School-aged Children study in Spain. Structural

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Salmond, Clare, and Peter Crampton. "Measuring socioeconomic position in New Zealand." Journal of Primary Health Care 4, no. 4 (2012): 271. http://dx.doi.org/10.1071/hc12280.

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INTRODUCTION: Measures of socioeconomic position (SEP) are widely used in health research. AIM: To provide future researchers with empirically based guidance about the relative utility of five measures of SEP in predicting health outcomes. METHODS: Data from 12 488 adults were obtained from the 2006 New Zealand Health Survey. Seven health-related outcome measures with expected variations by SEP are modelled using five measures of SEP: a census-based small-area index of relative socioeconomic deprivation, NZDep2006; a questionnaire-based individual-level index of socioeconomic deprivation, NZiD

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Robert, Stephanie A. "SOCIOECONOMIC POSITION AND HEALTH: The Independent Contribution of Community Socioeconomic Context." Annual Review of Sociology 25, no. 1 (1999): 489–516. http://dx.doi.org/10.1146/annurev.soc.25.1.489.

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Lwin, Kaung Suu, Shuhei Nomura, Daisuke Yoneoka, Peter Ueda, Sarah Krull Abe, and Kenji Shibuya. "Associations between parental socioeconomic position and health-seeking behaviour for diarrhoea and acute respiratory infection among under-5 children in Myanmar: a cross-sectional study." BMJ Open 10, no. 3 (2020): e032039. http://dx.doi.org/10.1136/bmjopen-2019-032039.

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ObjectivesTo examine the associations of parental social and economic position with health-seeking behaviour for diarrhoea and acute respiratory infection (ARI) among under-5 children in Myanmar and explore potential underlying mechanisms.DesignA cross-sectional study.SettingA secondary dataset from the nationwide 2015–2016 Myanmar Demographic and Health Survey (MDHS).ParticipantsAll under-5 children in the sampled households with reported symptoms of diarrhoea and ARI during the 2-week period preceding the MDHS survey interview.Primary and secondary outcome measuresFour parental health-seekin

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Jones, Jennifer R. A., Sue Berney, Bronwen Connolly, et al. "Socioeconomic Position and Health Outcomes Following Critical Illness." Critical Care Medicine 47, no. 6 (2019): e512-e521. http://dx.doi.org/10.1097/ccm.0000000000003727.

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Akkoyun-Farinez, Julie, Abdou Y. Omorou, Johanne Langlois, et al. "Measuring adolescents’ weight socioeconomic gradient using parental socioeconomic position." European Journal of Public Health 28, no. 6 (2018): 1097–102. http://dx.doi.org/10.1093/eurpub/cky064.

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Komulainen, Kaisla, Murray A. Mittleman, Markus Jokela, et al. "Socioeconomic position and intergenerational associations of ideal health behaviors." European Journal of Preventive Cardiology 26, no. 15 (2019): 1605–12. http://dx.doi.org/10.1177/2047487319850959.

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Background Promoting ideal cardiovascular health behaviors is an objective of the American Heart Association 2020 goals. We hypothesized that ideal health behaviors of parents are associated with health behaviors of their adult offspring, and that higher socioeconomic position in either generation enhances intergenerational associations of ideal health behaviors. Design Prospective cohort study. Methods We included 1856 Young Finns Study participants who had repeated measurements of socioeconomic position (education, income, occupation), smoking status, body mass index, physical activity and d

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Frances, R. J. "Association of Socioeconomic Position With Health Behaviors and Mortality." Yearbook of Psychiatry and Applied Mental Health 2012 (January 2012): 188–89. http://dx.doi.org/10.1016/j.ypsy.2011.07.035.

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Roizen, M. F. "Association of Socioeconomic Position With Health Behaviors and Mortality." Yearbook of Anesthesiology and Pain Management 2011 (January 2011): 235–36. http://dx.doi.org/10.1016/j.yane.2011.01.014.

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Lal, Anita, Mohammad Siahpush, Marjory Moodie, Anna Peeters, and Robert Carter. "Weighting Health Outcomes by Socioeconomic Position Using Stated Preferences." PharmacoEconomics - Open 2, no. 1 (2017): 43–51. http://dx.doi.org/10.1007/s41669-017-0036-1.

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Perna, Laura, Andreas Mielck, Maria E. Lacruz, et al. "Socioeconomic position, resilience, and health behaviour among elderly people." International Journal of Public Health 57, no. 2 (2011): 341–49. http://dx.doi.org/10.1007/s00038-011-0294-0.

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Stringhini, Silvia. "Association of Socioeconomic Position With Health Behaviors and Mortality." JAMA 303, no. 12 (2010): 1159. http://dx.doi.org/10.1001/jama.2010.297.

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Sankar, Uma Vadassery, V. Raman kutty, and TN Anand. "Measuring childhood socioeconomic position in health research:Development and validation of childhood socioeconomic position questionnaire using mixed method approach." Health Promotion Perspectives 9, no. 1 (2019): 40–49. http://dx.doi.org/10.15171/hpp.2019.05.

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Background: There is no single best indicator to assess the childhood socioeconomic position (CSEP) in public health research. The aim of the study is to develop and validate a new questionnaire, with adequate psychometric properties, to measure the childhood SEP of the young adults. Methods: The first phase consisted of a qualitative phase to identify the variables to measure childhood SEP through the in-depth interviews among 15 young adults (18-45 years) of rural Kerala. The second phase was a quantitative phase to validate the questionnaire through a cross sectional survey among 200 young

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Manuel, Douglas G., Carol Bennett, Richard Perez, et al. "Burden of health behaviours and socioeconomic position on health care expenditure in Ontario." F1000Research 8 (March 18, 2019): 303. http://dx.doi.org/10.12688/f1000research.18205.1.

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Background: Smoking, unhealthy alcohol consumption, poor diet and physical inactivity are leading risk factors for morbidity and mortality, and contribute substantially to overall healthcare costs. The availability of health surveys linked to health care provides population-based estimates of direct healthcare costs. We estimated health behaviour and socioeconomic-attribute healthcare costs, and how these have changed during a period when government policies have aimed to reduce their burden. Methods: The Ontario samples of the Canadian Community Health Surveys (conducted in 2003, 2005, and 20

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Manuel, Douglas G., Carol Bennett, Richard Perez, et al. "Burden of health behaviours and socioeconomic position on health care expenditure in Ontario." F1000Research 8 (October 16, 2019): 303. http://dx.doi.org/10.12688/f1000research.18205.2.

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Background: Smoking, unhealthy alcohol consumption, poor diet and physical inactivity are leading risk factors for morbidity and mortality, and contribute substantially to overall healthcare costs. The availability of health surveys linked to health care provides population-based estimates of direct healthcare costs. We estimated health behaviour and socioeconomic-attribute healthcare costs, and how these have changed during a period when government policies have aimed to reduce their burden. Methods: The Ontario samples of the Canadian Community Health Surveys (conducted in 2003, 2005, and 20

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Barboza Solís DDS, MSc, PhD, Cristina, and Romain Fantin MSc. "The Role of Socioeconomic Position in Determining Tooth Loss in Elderly Costa Rican: Findings from the CRELES Cohort." Odovtos - International Journal of Dental Sciences 19, no. 3 (2017): 79. http://dx.doi.org/10.15517/ijds.v19i3.29851.

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Objective: Differences in health status between socioeconomic groups continue to challenge epidemiological research. To evaluate health inequalities in tooth loss, using indicators of socioeconomic position (education level, occupation and subjective economic situation), in a large representative sample of elderly Costa Ricans, can contribute to conceive better adapted public health interventions. Methods: Data are from the Costa Rican Longevity and Healthy Aging Study (CRELES Pre-1945), a longitudinal study of a nationally representative sample of elders. 2827 participants were included in th

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Herd, Pamela, Brian Goesling, and James S. House. "Socioeconomic Position and Health: The Differential Effects of Education versus Income on the Onset versus Progression of Health Problems." Journal of Health and Social Behavior 48, no. 3 (2007): 223–38. http://dx.doi.org/10.1177/002214650704800302.

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This article seeks to elucidate the relationship between socioeconomic position and health by showing how different facets of socioeconomic position (education and income) affect different stages (onset vs. progression) of health problems. The biomedical literature has generally treated socioeconomic position as a unitary construct. Likewise, the social science literature has tended to treat health as a unitary construct. To advance our understanding of the relationship between socioeconomic position and health, and ultimately to foster appropriate policies and practices to improve population

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Galobardes, B. "Indicators of socioeconomic position (part 1)." Journal of Epidemiology & Community Health 60, no. 1 (2006): 7–12. http://dx.doi.org/10.1136/jech.2004.023531.

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Galobardes, B. "Indicators of socioeconomic position (part 2)." Journal of Epidemiology & Community Health 60, no. 2 (2006): 95–101. http://dx.doi.org/10.1136/jech.2004.028092.

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Mckenzie, S., K. Carter, T. Blakely, and V. Ivory. "P1-206 Effects of childhood socioeconomic position on subjective health and health behaviours in adulthood: how much is mediated by adult socioeconomic position?" Journal of Epidemiology & Community Health 65, Suppl 1 (2011): A123. http://dx.doi.org/10.1136/jech.2011.142976d.99.

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Orton, Lois Catherine, Andy Pennington, Shilpa Nayak, et al. "What is the evidence that differences in ‘control over destiny’ lead to socioeconomic inequalities in health? A theory-led systematic review of high-quality longitudinal studies on pathways in the living environment." Journal of Epidemiology and Community Health 73, no. 10 (2019): 929–34. http://dx.doi.org/10.1136/jech-2019-212565.

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BackgroundLow control and high demand in the places where people work has been shown to partially explain why those in lower socioeconomic positions experience poorer health than their counterparts in higher socioeconomic positions. It would seem likely then that experiences of control in the wider living environment, beyond people’s places of work, might also play a role in shaping these health inequalities. Our recent review of theory revealed potential pathways by which low control in the living environment might explain the social patterning of health via low control beliefs and low actual

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Morris, N. M. "The influence of socioeconomic position on health--and vice versa." American Journal of Public Health 86, no. 11 (1996): 1649–50. http://dx.doi.org/10.2105/ajph.86.11.1649-a.

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Winnersjö, Rocio, Antonio Ponce de Leon, Joaquim F. Soares, and Gloria Macassa. "Violence and self-reported health: does individual socioeconomic position matter?" Journal of Injury and Violence Research 4, no. 2 (2012): 93–102. http://dx.doi.org/10.5249/jivr.v4i2.122.

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Choi, Yong-Jun, Baek-Geun Jeong, Sung-Il Cho, et al. "A Review on Socioeconomic Position Indicators in Health Inequality Research." Journal of Preventive Medicine and Public Health 40, no. 6 (2007): 475. http://dx.doi.org/10.3961/jpmph.2007.40.6.475.

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Materia, E. "Hysterectomy and socioeconomic position in Rome, Italy." Journal of Epidemiology & Community Health 56, no. 6 (2002): 461–65. http://dx.doi.org/10.1136/jech.56.6.461.

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Wu, Yu-Tzu, Sam Gnanapragasam, Albert Sanchez-Niubo, et al. "Childhood socioeconomic position and healthy ageing: results from five harmonised cohort studies in the ATHLOS consortium." BMJ Public Health 3, no. 1 (2025): e001590. https://doi.org/10.1136/bmjph-2024-001590.

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IntroductionChildhood socioeconomic position (SEP) has been identified as a key determinant of health. However, earlier literature is largely from high-income countries and provides limited evidence on the prolonging impacts of childhood disadvantage on healthy ageing across diverse settings and populations. The aim of this study is to investigate the associations between childhood SEP and healthy ageing across multiple countries and the mediation effects of adult SEP, individual education and wealth, on these associations.MethodsUsing the harmonised dataset of five cohort studies in the Agein

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Elgar, Frank J., Britt McKinnon, Torbjørn Torsheim, et al. "Patterns of Socioeconomic Inequality in Adolescent Health Differ According to the Measure of Socioeconomic Position." Social Indicators Research 127, no. 3 (2015): 1169–80. http://dx.doi.org/10.1007/s11205-015-0994-6.

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Laaksonen, Mikko, Ossi Rahkonen, Pekka Martikainen, and Eero Lahelma. "Socioeconomic Position and Self-Rated Health: The Contribution of Childhood Socioeconomic Circumstances, Adult Socioeconomic Status, and Material Resources." American Journal of Public Health 95, no. 8 (2005): 1403–9. http://dx.doi.org/10.2105/ajph.2004.047969.

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Rattay, Petra, Miriam Blume, Benjamin Wachtler, et al. "Socioeconomic position and self-rated health among female and male adolescents: The role of familial determinants in explaining health inequalities. Results of the German KiGGS study." PLOS ONE 17, no. 4 (2022): e0266463. http://dx.doi.org/10.1371/journal.pone.0266463.

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Objective Although health inequalities in adolescence are well documented, the underlying mechanisms remain unclear. Few studies have examined the role of the family in explaining the association between the family’s socioeconomic position and adolescents’ self-rated health. The current study aimed to explore whether the association between socioeconomic position and self-rated health was mediated by familial determinants. Methods Using data from wave 2 of the”German Health Interview and Examination Survey for Children and Adolescents” (KiGGS) (1,838 female and 1,718 male 11- to 17-year-olds),

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Dobe, Madhumita, and C. S. Taklikar. "Health Inequalities in India â€“ Will Looking through The Social Determinants Lens, Make A Difference?" Journal of Comprehensive Health 7, no. 2 (2019): 6–11. http://dx.doi.org/10.53553/jch.v07i02.002.

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In other words, what good will universal health coverage be, if we cannot change the circumstances in which people are born, grow up, live, work and age (the social determinants) These conditions are, in turn, shaped by political, social, and economic forces resulting in differences in health that are closely linked with social disadvantages, most of which are avoidable /preventable through well designed and implemented policies and programs.1These avoidable inequalities within and between societies which determine their risk of illness and the actions taken to prevent them becoming ill or tre

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Ljung, Rickard, and Johan Hallqvist. "Misclassification of occupation-based socioeconomic position and gender comparisons of socioeconomic risk." Scandinavian Journal of Public Health 35, no. 1 (2007): 17–22. http://dx.doi.org/10.1080/14034940600777260.

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Aims: Because occupational classification systems tend to be less precise in the female sector of the working market there has been concern that this might imply more misclassification of socioeconomic position among women, biasing comparisons of gender-specific socioeconomic differences in risk. Methods: The Stockholm Heart Epidemiology Program (SHEEP) is a population-based case-control study of risk factors for incident myocardial infarction. The study base included all Swedish citizens aged 45—70 in Stockholm County during 1992—94, 550 female and 1201 male cases, and 776 female and 1538 mal

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Andrade, Fabíola Bof de, José Leopoldo Ferreira Antunes, Paulo Roberto Borges de Souza Junior, Maria Fernanda Lima-Costa, and Cesar De Oliveira. "Life course socioeconomic inequalities and oral health status in later life." Revista de Saúde Pública 52, Suppl 2 (2019): 7s. http://dx.doi.org/10.11606/s1518-8787.2018052000628.

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OBJECTIVE: To investigate the association between life course socioeconomic conditions and two oral health outcomes (edentulism and use of dental prostheses among individuals with severe tooth loss) among older Brazilian adults. METHODS: This was a cross-sectional study with data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil) which includes information on persons aged 50 years or older residing in 70 municipalities across the five great Brazilian regions. Regression models using life history information were used to investigate the relation between childhood (parental education)

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Kawada, Tomoyuki. "Occupational class as the indicator of socioeconomic position." Occupational and Environmental Medicine 69, no. 8 (2012): 606.2–607. http://dx.doi.org/10.1136/oemed-2011-100565.

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Fuhrer, R., M. J. Shipley, J. F. Chastang, et al. "Socioeconomic Position, Health, and Possible Explanations: A Tale of Two Cohorts." American Journal of Public Health 92, no. 8 (2002): 1290–94. http://dx.doi.org/10.2105/ajph.92.8.1290.

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Eachus, J., P. Chan, N. Pearson, C. Propper, and G. Davey Smith. "An additional dimension to health inequalities: disease severity and socioeconomic position." Journal of Epidemiology & Community Health 53, no. 10 (1999): 603–11. http://dx.doi.org/10.1136/jech.53.10.603.

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Chinn, D. J., M. White, J. Harland, C. Drinkwater, and S. Raybould. "Barriers to physical activity and socioeconomic position: implications for health promotion." Journal of Epidemiology & Community Health 53, no. 3 (1999): 191–92. http://dx.doi.org/10.1136/jech.53.3.191.

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Amone-P’Olak, Kennedy, Huibert Burger, Johan Ormel, Martijn Huisman, Frank C. Verhulst, and Albertine J. Oldehinkel. "Socioeconomic position and mental health problems in pre- and early-adolescents." Social Psychiatry and Psychiatric Epidemiology 44, no. 3 (2008): 231–38. http://dx.doi.org/10.1007/s00127-008-0424-z.

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Jung-Choi, K., and Y. H. Khang. "P1-157 Effect of adolescent socioeconomic position on adulthood health status and health behaviors." Early Human Development 83 (September 2007): S127. http://dx.doi.org/10.1016/s0378-3782(07)70327-4.

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Adams, J. "Socioeconomic position and sleep quantity in UK adults." Journal of Epidemiology & Community Health 60, no. 3 (2006): 267–69. http://dx.doi.org/10.1136/jech.2005.039552.

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Coombs, N., and E. Stamatakis. "PP69 Occupational Sedentary Time, Socioeconomic Position, and Obesity." Journal of Epidemiology and Community Health 67, Suppl 1 (2013): A76.1—A76. http://dx.doi.org/10.1136/jech-2013-203126.163.

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Massar, Karlijn, Natalie Kopplin, and Karen Schelleman-Offermans. "Childhood Socioeconomic Position, Adult Educational Attainment and Health Behaviors: The Role of Psychological Capital and Health Literacy." International Journal of Environmental Research and Public Health 18, no. 17 (2021): 9399. http://dx.doi.org/10.3390/ijerph18179399.

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Socioeconomic circumstances during childhood and adulthood are known to negatively affect health promoting behaviors. On the other hand, psychological capital (PsyCap) and health literacy are positively associated with these lifestyle behaviors. We, therefore, reasoned that PsyCap and health literacy might “buffer” the negative influences of socioeconomic circumstances on health-promoting behaviors. Method: We measured subjective childhood socioeconomic position (SEP) and adult educational attainment (as a proxy for adult socioeconomic circumstances), health literacy, PsyCap, and health behavi

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Carmen, Salinas Goodier, López Torres Rómulo Guillermo, Lozada López Fanny Del Rocío, and Armijos Briones Fernando Marcelo. "Socioeconomic Position and Dental Caries in Latin America: A Systematic Review." Journal of Advanced Zoology 44, S-1 (2023): 9–14. http://dx.doi.org/10.17762/jaz.v44is-1.266.

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People who are in a bad socioeconomic position usually experience bad health outcomes. Moreover, higher mortality rates are linked to deteriorating socioeconomic status. This trend can also be observed in oral health. Worldwide, the highest prevalence of disease caries in permanent teeth was observed in Andean Latin America. The aim of this review was to determine the risk of caries based on the socioeconomic position in Latin America. The protocol was designed in accordance with the Cochrane standards for systematic reviews. The search criteria met the Preferred Reporting Items for Systematic

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Boclin, Karine de Limas Irio, Eduardo Faerstein, and Moyses Szklo. "Does life-course socioeconomic position influence racial inequalities in the occurrence of uterine leiomyoma? Evidence from the Pro-Saude Study." Cadernos de Saúde Pública 30, no. 2 (2014): 305–17. http://dx.doi.org/10.1590/0102-311x00025413.

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We aimed to investigate whether life-course socioeconomic position mediates the association between skin color/race and occurrence of uterine leiomyomas. We analyzed 1,475 female civil servants with baseline data (1999-2001) of the Pró-Saúde Study in Rio de Janeiro State, Brazil. Life-course socioeconomic position was determined by parental education (early life socioeconomic position), participant education (socioeconomic position in early adulthood) and their combination (cumulative socioeconomic position). Gynecological/breast exams and health insurance status were considered markers of acc

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Osler, Merete, Bjørn Holstein, Kirsten Avlund, Mogens Trab Damsgaard, and Niels Kr Rasmussen. "Socioeconomic position and smoking behaviour in Danish adults." Scandinavian Journal of Public Health 29, no. 1 (2001): 32–39. http://dx.doi.org/10.1177/14034948010290010801.

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Hyde, M. "Comparison of the effects of low childhood socioeconomic position and low adulthood socioeconomic position on self rated health in four European studies." Journal of Epidemiology & Community Health 60, no. 10 (2006): 882–86. http://dx.doi.org/10.1136/jech.2005.043083.

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Gurmeet, Kayin, and Arman Mohammadi. "Understanding the Social Determinants of Health: Implications for Health Sociology." Jurnal Perilaku Kesehatan Terpadu 2, no. 1 (2023): 12–17. http://dx.doi.org/10.61963/jpkt.v2i1.37.

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The purpose of this study was to investigate the social determinants of health and how health sociology may be affected. A mixed-methods approach was used to study both quantitative and qualitative data in order to fully comprehend the relationships between socioeconomic factors and various health outcomes. Higher levels of socioeconomic position and educational attainment were linked, according to the quantitative study, to lower death rates, a decline in the prevalence of chronic illnesses, and improved health practices. The qualitative study emphasized the significance of addressing social

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