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1 patterns of social ties affect individuals' economic status.
2 network, is highly correlated with personal economic status.
3 ritional status, educational attainment, and economic status.
4 ing due to age, sex, smoking, race and socio-economic status.
5 determined based on self-reported household economic status.
6 essment was negatively associated with socio-economic status.
7 ontrolling for age, sex, race/ethnicity, and economic status.
8 pitalizations by geographic region and socio-economic status.
9 ied by comparable international quintiles of economic status.
10 nd environmental risk factors, stratified by economic status.
11 al evaluation including patients' social and economic status.
12 educated to degree level or of higher socio-economic status.
13 ans and to benefit donors by improving their economic status.
14 erall in age, sex, percentage of blacks, and economic status.
15 f allergic sensitization (age, sex and socio-economic status adjusted odds ratio (95% confidence inte
16 f these variables may be indicative of socio-economic status and could be used as proxies of exposure
17 e consistent across communities of different economic status and geographic regions since efforts to
18 on Successful Midlife Development and Socio-economic Status and Health, Unilever, and Departments of
19 ender, distance from screening center, socio-economic status and length of time since they were last
22 y noted relationship between childhood socio-economic status and oral health in adulthood appears, wi
23 plementary dimensions of inequality (such as economic status and urban/rural residence) as well as se
25 g for sex, age, race, ethnicity, site, socio-economic status, and hour of the day when the TSST was c
26 uding contact HIV status, contact age, socio-economic status, and index case sputum smear grade, the
28 dictors such as demographic variables, socio-economic status, and self-rated health; the density of b
31 ed from sale, how money was spent, change in economic status, change in health status, advice for oth
33 is was altered by region of residence, socio-economic status, country of birth or history of migratio
35 t poverty, particularly in the form of worse economic status, diminished wealth, and unemployment is
36 tation availability, hygiene practice, socio-economic status, education level, filter operation and m
37 alth and disease exist, including social and economic status, education, employment, housing, and phy
38 iderably across different dimensions such as economic status, education, sex, and urban/rural residen
39 rence greater than 1% in 24 populations; and economic status for 15 of 18 populations with a differen
40 tion was less common in women with low socio-economic status, HIV infection and undernutrition, but w
41 nd in neighborhoods with low educational and economic status levels, high levels of public disorder a
45 species body mass, taxonomic group and socio-economic status of study site are important predictors o
46 ible to make sustainable improvements in the economic status of the poor with a relatively short-term
47 nce (OR 2.5; 95% CI 1.46-3.01), higher socio-economic status (OR 4.1; 95% CI 2.40-6.98), and increasi
48 confounders such as age, sex, region, socio-economic status, other lifestyle factors, body mass inde
49 ucation, knowledge about malaria/IPTp, socio-economic status, parity, and number and timing of antena
50 me-varying confounding included age, income, economic status, relationship (couple) status, and physi
53 women are more likely to have a lower socio-economic status (SES) but it is unclear whether SES is a
54 roportions of European ancestry (PEA), socio economic status (SES), body mass index (BMI), alcohol co
55 ses survey data to calculate household socio-economic-status (SES) indices in seven countries where n
56 Zambia have substantially poorer social and economic status than do their peers with non-stigmatised
57 likely to be female and have a higher socio-economic status than those who did not report reactions
58 3 dominate in most countries irrespective of economic status, the largest proportions of genotypes 4
60 d not vary after adjusting for common social economic status variables (e.g. household income), envir
62 data on solid waste, population density, and economic status, we estimated the mass of land-based pla
63 N coverage, household demographics and socio-economic status were collected using an adapted version
64 worldwide, and their disproportionately poor economic status, women need special consideration in dis
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