2017
DOI: 10.1017/s2045796017000142
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Taking an intersectional approach to define latent classes of socioeconomic status, ethnicity and migration status for psychiatric epidemiological research

Abstract: This is the first study to examine the intersections of SES, ethnicity and migration status with CMD using LCA. Results showed that both the migrant, economically inactive and the White British, economically inactive classes had a similarly high prevalence of CMD. Findings suggest that LCA is a useful methodology for investigating health inequalities by intersectional identities.

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Cited by 43 publications
(59 citation statements)
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References 55 publications
(73 reference statements)
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“…Assessing the evidence that has accumulated in four areas, they suggest (Phelan et al 2010) that SES does indeed shape disease outcomes via various risk factors, through the differential deployment of resources, a pattern which is very stable and reproduced over time via the emergence and decay of intervening mechanisms. This clearly leads in exactly the opposite direction from contemporary epidemiological sophisticationthere is little point in identifying more and more (and smaller) risk and protective Table 1 Social epidemiologies of urban life Socio-economic status, ethnicity, migration-and their intersection (Goodwin et al 2017) Social disadvantage, isolation and function (Morgan et al 2017) Socio-economic status and social inclusion (Yi and Liang (2017) Social isolation and social "defeat" (Frissen et al 2017) Social minority status-ethnicity, household, social class (Schofield et al 2016) Social disadvantage (Stilo 2016) Social status, social support, and racial discrimination (Mama et al 2016) Social networks, social support, and ethnicity (Smyth et al 2015) Social network structure and culture (Perry and Pescosolido 2015) Social deprivation, social support, discrimination, stress, trust (Wickham et al 2014) Social coherence, density of social networks, and population density (Lederbogen et al 2013) Social adversity, population density, social fragmentation and deprivation (Heinz et al 2013) Social ties, social support, and stress buffering (Thoits 2011) Socio-economic status, social capital, and social disorder (Kim 2008) Social fragmentation, social isolation and social inequality (Van Os 2004) factors with larger and larger samples, if there is an underlying mechanism generated by SES that over time continues to reproduce ill health.…”
Section: Strategy 2: Cut Through On a Clear Path: Ses As A 'Fundamentmentioning
confidence: 99%
“…Assessing the evidence that has accumulated in four areas, they suggest (Phelan et al 2010) that SES does indeed shape disease outcomes via various risk factors, through the differential deployment of resources, a pattern which is very stable and reproduced over time via the emergence and decay of intervening mechanisms. This clearly leads in exactly the opposite direction from contemporary epidemiological sophisticationthere is little point in identifying more and more (and smaller) risk and protective Table 1 Social epidemiologies of urban life Socio-economic status, ethnicity, migration-and their intersection (Goodwin et al 2017) Social disadvantage, isolation and function (Morgan et al 2017) Socio-economic status and social inclusion (Yi and Liang (2017) Social isolation and social "defeat" (Frissen et al 2017) Social minority status-ethnicity, household, social class (Schofield et al 2016) Social disadvantage (Stilo 2016) Social status, social support, and racial discrimination (Mama et al 2016) Social networks, social support, and ethnicity (Smyth et al 2015) Social network structure and culture (Perry and Pescosolido 2015) Social deprivation, social support, discrimination, stress, trust (Wickham et al 2014) Social coherence, density of social networks, and population density (Lederbogen et al 2013) Social adversity, population density, social fragmentation and deprivation (Heinz et al 2013) Social ties, social support, and stress buffering (Thoits 2011) Socio-economic status, social capital, and social disorder (Kim 2008) Social fragmentation, social isolation and social inequality (Van Os 2004) factors with larger and larger samples, if there is an underlying mechanism generated by SES that over time continues to reproduce ill health.…”
Section: Strategy 2: Cut Through On a Clear Path: Ses As A 'Fundamentmentioning
confidence: 99%
“…The relatively high proportion of patients prescribed opioids in this system may be partially explained by the specific needs of patients who access care through a safety-net system, who often have lower socioeconomic resources and higher rates of mental illness, chronic pain, and disability than the general population. 23,24 The increase in number of prescriptions may simply reflect changes in opioid policies (eg, prohibition of HCP refills by telephone), requiring more frequent in-person visits and thus more prescriptions were written. As noted previously, primary care access improved and several urgent care centers were opened during the study time frame in this health system, which may have increased the number of opioid prescriptions to some extent.…”
Section: Discussionmentioning
confidence: 99%
“…What is urgently needed is a public health sociology to understand these interactions and dynamisms. Sociologically informed studies of how health consequences such as mental health (Goodwin et al, 2018) or heart disease (Shim, 2014) result from intersectional configurations of positionings of class, ethnicity, gender and other social relations will be an essential contribution to developing methods that can capture the dynamic variegation in urban populations and the intersections between them.…”
Section: Populations: Dynamic and Heterogeneousmentioning
confidence: 99%