ライフサイエンスコーパス: socioeconomic

1 laws and accurately predict kilometre-level socioeconomic activity.

2 adaptation to urban infrastructure and human socioeconomic activity.

3 g for sex, maternal genotype, and indices of socioeconomic adversity (housing, employment, education,

4 Socioeconomic adversity is associated with accelerated e

5 Difference in maternal age, parity, socioeconomic and behavioral characteristics did not acc

6 ase event in the country, with unprecedented socioeconomic and commercial consequences.

7 ioning populations, particularly in specific socioeconomic and cultural contexts, calls for conceptua

8 Interventions tailored at socioeconomic and cultural factors that influence CVD ri

9 enting and school interventions, and broader socioeconomic and cultural interventions.

10 cifically, a fine-grained description of the socioeconomic and environmental heterogeneities involved

11 demands for goods and services, which causes socioeconomic and environmental issues, particularly uns

12 es seem to reflect local factors, especially socioeconomic and ethnic population composition.

13 ous and are likely multifactorial, including socioeconomic and health care access, treatment, and pre

14 Influenza continues to have a substantial socioeconomic and health impact despite a long establish

15 international concern that brings formidable socioeconomic and healthcare challenges.

16 The group reviewed socioeconomic and structural challenges to changing envi

17 able biological, neighborhood, psychosocial, socioeconomic, and behavioral factors in young adulthood

18 for biological, neighborhood, psychosocial, socioeconomic, and behavioral factors measured over time

19 en after adjusting for multiple demographic, socioeconomic, and clinical factors, suggesting that TB

20 hazard ratios, controlling for demographic, socioeconomic, and clinical potential confounders.

21 and models controlled for sociodemographic, socioeconomic, and work-related characteristics.

22 were robust when including sociodemographic, socioeconomic, and working characteristics.

23 rated research, management, enforcement, and socioeconomic attributes, showed wide variation among co

24 analyses took account of age, sex, parental socioeconomic background, education, and cognitive funct

25 severe asthma, representing a non-negligible socioeconomic burden for health services.

26 orbidity and disability, with a considerable socioeconomic burden.

27 illness worldwide and generate a significant socioeconomic burden.

28 Socioeconomic challenges continue to mount for half a bi

29 pulations reflects the far-ranging and rapid socioeconomic changes to which they have been exposed ov

30 stimate outdoor exposures by race-ethnicity, socioeconomic characteristics (income, age, education),

31 Collecting socioeconomic characteristics and asking about donation-

32 ain individual patient data for clinical and socioeconomic characteristics of children aged younger t

33 Here, we present a method that estimates socioeconomic characteristics of regions spanning 200 US

34 effects of oral health, general health, and socioeconomic characteristics on accuracy of periodontit

35 Age and gender distribution, socioeconomic characteristics, and injury characteristic

36 Ds) who donated from 01/2015 to 3/2016 about socioeconomic characteristics, predonation cost concerns

37 r controlling for a range of demographic and socioeconomic characteristics.

38 ined by shared familial (genetic, lifestyle, socioeconomic) characteristics.

39 he causal relationship between deteriorating socioeconomic circumstances and tooth loss.

40 a natural experiment involving deteriorating socioeconomic circumstances following exposure to the 20

41 INTERPRETATION: Socioeconomic circumstances, in addition to the 25 x 25

42 re access to groups traditionally limited by socioeconomic class or remote geography.

43 s japonica remains a major public health and socioeconomic concern in Southeast Asia.

44 Children residing in poor socioeconomic conditions, as in Zanzibar, are heavily ex

45 how that, after controlling for climatic and socioeconomic conditions, earthquake severity was associ

46 hat addresses transactional pathophysiology, socioeconomic conditions, health system structures, and

47 cies addressing risk factors such as adverse socioeconomic conditions, unhealthy lifestyle, and lower

48 associated with ocean warming, given current socioeconomic constraints.

49 ons for these associations are confounded by socioeconomic, cultural, and lifestyle patterns.

50 determined each patient's neighborhood-level socioeconomic data from 2010 U.S. Census tract data, and

51 investigates accuracy of oral, systemic, and socioeconomic data on estimating periodontitis developme

52 on comorbidity diagnoses and demographic and socioeconomic data.

53 sthma (OR 6.43; 95%CI 5.85-7.07), and higher socioeconomic deprivation (OR 2.90; 95%CI 2.72-3.09 for

54 ues to be worst in regions with the greatest socioeconomic deprivation, and deficiencies exist in tra

55 China, during 2001-2015 and investigate the socioeconomic determinants of any changes.

56 association between incidence/mortality and socioeconomic development (Human Development Index [HDI]

57 ens in the context of a changing climate and socioeconomic development patterns.

58 We examined race and socioeconomic differences associated with these changes.

59 ies on human neurobiology should control for socioeconomic differences between ethnic groups.

60 Socioeconomic differences in behaviour are pervasive and

61 Race and socioeconomic differences in statin eligibility were mor

62 y Study in relation to the level of maternal socioeconomic disadvantage and their involvement in offs

63 Smokers with psychiatric conditions and socioeconomic disadvantage are more addicted and less li

64 xamine the effect of family and neighborhood socioeconomic disadvantage as well as the moderating eff

65 Socioeconomic disadvantage is a risk factor for dementia

66 Here we investigate whether socioeconomic disadvantage is associated with gestationa

67 ing might ameliorate the negative effects of socioeconomic disadvantage on frontal lobe development (

68 jective is to understand the manner in which socioeconomic disadvantage shapes dementia risk by exami

69 Socioeconomic disadvantage was associated with poorer co

70 ducation level) and neighborhood measures of socioeconomic disadvantage were assessed.

71 bility most among adults with nonwhite race, socioeconomic disadvantage, and no health insurance.

72 tal neurodevelopment, exacerbated in part by socioeconomic disadvantage.

73 We observe significant socioeconomic disparities in arsenic testing and treatme

74 The observed socioeconomic disparities in disease incidence and age a

75 Understanding the effects of socioeconomic disparities in health outcomes is importan

76 Socioeconomic disparities.

77 alcohol consumption, and physical activity), socioeconomic (education, neighbourhood deprivation, and

78 ing to individual demographics, neighborhood socioeconomic environment, and neighborhood air pollutio

79 .00), followed by activities (2.20/5.00) and socioeconomic factors (2.13/5.00), and then ocular sympt

80 Results indicate socioeconomic factors and BMI are strong predictors of s

81 Whether socioeconomic factors at the patient level may influence

82 Concern about socioeconomic factors correlated with VF MD of the bette

83 The potential of "Big Data" to estimate socioeconomic factors in Africa has been proven.

84 However, socioeconomic factors influencing non-communicable disea

85 We explored the extent to which socioeconomic factors might explain this racial disparit

86 Several demographic, clinical, and socioeconomic factors play important roles in predicting

87 ent decision-making process and identify key socioeconomic factors that result in barriers to care.

88 An understanding of the socioeconomic factors underlying decision-making is key

89 Six psychosocial and socioeconomic factors were associated with cardiovascula

90 fter mutual adjustment, six psychosocial and socioeconomic factors were associated with increased ris

91 lling for year, demographics, comorbidities, socioeconomic factors, and Organ Procurement Organizatio

92 We observe friendship networks, socioeconomic factors, and treatment delivery outcomes f

93 in 35 countries with information on health, socioeconomic factors, climate, and watershed condition.

94 access to care, cancer screening, and other socioeconomic factors, disparities remain after adjustme

95 ount of the potential confounding effects of socioeconomic factors, ethnic minority women were less l

96 % CI 1.20-1.33) after further adjustment for socioeconomic factors, health-related behaviours, depres

97 Better QOL was independently associated with socioeconomic factors, not factors related to general he

98 in hypothesised explanatory factors such as socioeconomic factors, substance use, depression, and se

99 evels, controlling for other nutritional and socioeconomic factors.

100 e dependence (p < 0.001) after adjusting for socioeconomic factors.

101 sociated MRSA rates was largely explained by socioeconomic factors.

102 n early death and demographic, clinical, and socioeconomic factors.

103 DE serum concentrations were associated with socioeconomic factors; for example, a $20,000 increase i

104 Socioeconomic gaps in survival have also increased.

105 e have built the TB Portals, a repository of socioeconomic/geographic, clinical, laboratory, radiolog

106 PC in ESLD patients increased substantially; socioeconomic, geographical, and ethnic barriers to acce

107 Importantly, efforts to mitigate the socioeconomic gradient in obesity may also need to addre

108 l disease cases aged <5 y or from the lowest socioeconomic group and fatal respiratory disease cases

109 The health and financial effects across socioeconomic groups are important considerations for po

110 High socioeconomic groups were found to be less physically ac

111 Low socioeconomic groups were found to have a significantly

112 y to reach families from racial, ethnic, and socioeconomic groups who historically have not sought or

113 erences in alcohol consumption between these socioeconomic groups, reverse causation (ie, downward so

114 nce of tobacco and alcohol use than did high socioeconomic groups.

115 follow-up is suboptimal, especially in lower socioeconomic groups.

116 the United States and France, and across all socioeconomic groups.

117 d significantly between members of different socioeconomic groups.

118 uch region identifies how climate change and socioeconomic growth will alter the availability and use

119 ted worldwide, underscoring the clinical and socioeconomic impact of this chronic infection.

120 ings worldwide and results in a considerable socioeconomic impact.

121 prescription drug abuse and its devastating socioeconomic impacts on public health.

122 e region, with profound eco-hydrological and socioeconomic impacts.

123 Despite the socioeconomic importance of allergic rhinitis (AR), very

124 for demographic (sex, age, race, ethnicity), socioeconomic (income, education, insurance type), geogr

125 sessed at age 38 years using the New Zealand Socioeconomic Index-2006 (NZSEI-06; range, 10 [lowest]-9

126 d parental social class based on the Swedish socioeconomic index.

127 haracteristics, including neighborhood-level socioeconomic indicators.

128 lipid levels), presenting visual acuity, and socioeconomic indicators.

129 els that can deepen our understanding of how socioeconomic inequalities can become amplified and embe

130 ap and the further widening and hardening of socioeconomic inequalities in health.

131 rval: 0.50, 2.59), suggesting a reduction in socioeconomic inequalities in mental health.

132 Understanding the nature of socioeconomic influences, as well as their potential use

133 n on health, prescribed medicine, social and socioeconomic information, and analogous information amo

134 TION: Frequent HIV screening combined with a socioeconomic intervention facilitated sampling and risk

135 385 women completed the 48 week socioeconomic intervention, of whom 231 were followed up

136 sexual risk behaviour, and the effect of the socioeconomic intervention.

137 In addition to socioeconomic issues, biological factors may contribute

138 After adjustment for demographic, socioeconomic, lifestyle factors, and urinary creatinine

139 nd responsible for human health problems and socioeconomic loss to a large extent.

140 iate, and high to represent hierarchy in the socioeconomic marker) with cognitive performance, cognit

141 gression were used to assess associations of socioeconomic markers (height, education, and midlife oc

142 prior to diagnosis differed as a function of socioeconomic markers.

143 .61; 95% CI: 1.35, 1.92) after adjusting for socioeconomic measures (SES); PM2.5 was positively assoc

144 e the association between census tract-level socioeconomic measures and MRSA incidence, which may inc

145 ION: Advances in medications, lifestyle, and socioeconomics might compress activities of daily living

146 atus in adulthood and with changes in IQ and socioeconomic mobility between childhood and midlife.

147 , CI 2.21-3.03), or residence in the highest socioeconomic neighborhood quintile versus lowest (OR 2.

148 birth rate, but not in maternal age, parity, socioeconomic or behavioral characteristics contribute t

149 and women's cancers are not only a tractable socioeconomic policy target in themselves, but also an i

150 x, higher maternal age, preeclampsia, higher socioeconomic position (SEP) and maternal birth in Hong

151 d ethnic differences in associations between socioeconomic position (SEP) and risk of childhood acute

152 Lower socioeconomic position (SEP) in both childhood and adult

153 in health outcomes in relation to Americans' socioeconomic position is rising.

154 n of behavioural risk factors is affected by socioeconomic position within LLMICs.

155 phics, individual and area-level measures of socioeconomic position, and clinical and lifestyle facto

156 stimating equations, adjusting for age, sex, socioeconomic position, causes of death, urban and rural

157 umber of sickness absences in previous year, socioeconomic position, chronic illnesses, sleep problem

158 ng adjustment for age, sex, body mass index, socioeconomic position, diet, smoking, alcohol consumpti

159 in a male patient, lower community household socioeconomic position, indoor air pollution, previous t

160 cted from work-related predictors (age, sex, socioeconomic position, job strain) were 0.79 and 0.78,

161 x may not have fully captured differences in socioeconomic position; however, the use of multiple nat

162 es is typically associated with increases in socioeconomic productivity, but it also creates strong i

163 regardless of academic, ethnic, gender, and socioeconomic profiles.

164 Allergy is a public health issue of high socioeconomic relevance, and development of evidence-bas

165 tionately more prevalent among people of low socioeconomic resources.

166 However, the prevalence of psychosocial and socioeconomic risk factors and their HRs were similar be

167 amage prediction based on climate change and socioeconomic scenarios.

168 Several taxa have socioeconomic significance, being important ornamental b

169 with vaccine introduction varied across the socioeconomic spectrum.

170 general cognitive ability ( 3.5%) and family socioeconomic status ( 7%).

171 d boys when living in households with higher socioeconomic status (2.87 points [0.27 to 5.47] in the

172 onfidence interval, 0.16-0.65; P=0.001), and socioeconomic status (beta coefficient=0.10; 95% confide

173 llect information about demographic factors, socioeconomic status (education, income, and employment)

174 (not in children <5 years), time period, and socioeconomic status (household wealth) quintile for HIV

175 ater mortality compared with those with high socioeconomic status (HR 1.42, 95% CI 1.38-1.45 for men;

176 Socioeconomic status (primary outcome) was assessed at a

177 than 90 years (2.20, 2.09-2.29), and of low socioeconomic status (Scottish Index of Multiple Depriva

178 Differences in genetic ancestry and socioeconomic status (SES) among Latin American populati

179 The association between low socioeconomic status (SES) and obesity is well documente

180 Associations between socioeconomic status (SES) and substance abuse are somet

181 epregnancy BMI (P < 0.001), and lower family socioeconomic status (SES) at time of birth (P = 0.001),

182 in early learning experiences across diverse socioeconomic status (SES) backgrounds, particularly whe

183 cknesses in all neighborhoods categorized by socioeconomic status (SES) between 1988-1992 and 1998-20

184 ese adaptations under conditions such as low socioeconomic status (SES) can have negative consequence

185 e on cognition for children raised in higher socioeconomic status (SES) families, including recent pr

186 Socioeconomic status (SES) is associated with asthma mor

187 Low socioeconomic status (SES) is associated with earlier on

188 Prospective data on effects of childhood socioeconomic status (SES) on measures of LV structure a

189 o determine the roles of race, sex, age, and socioeconomic status (SES) on survival rates based on th

190 vestigate the role that genetic ancestry and socioeconomic status (SES) play in the epidemiology of t

191 es in gene methylation associated with lower socioeconomic status (SES) predict changes in risk-relat

192 ith higher proportions of nonwhite and lower-socioeconomic status (SES) residents.

193 ether a 9p21.3 common variant interacts with socioeconomic status (SES) to influence CAC and incident

194 Many behavioral and psychological effects of socioeconomic status (SES), beyond those presented by Pe

195 Parents responded to queries related to socioeconomic status (SES), family structure, number of

196 Family and neighborhood socioeconomic status (SES), measured at baseline, were a

197 scounting" is an appropriate response to low socioeconomic status (SES), or deprivation.

198 uster of behaviours is associated with lower socioeconomic status (SES), which we call "the behaviour

199 Human beings differ in their socioeconomic status (SES), with accompanying difference

200 sure to poverty and brain development in low socioeconomic status African American individuals from t

201 o greenness and mortality risks, by personal socioeconomic status among individuals living in general

202 39), from whom we obtained information about socioeconomic status and health status in 2010 (i.e., pr

203 Differences in socioeconomic status and health-care access play a key r

204 Associations between socioeconomic status and increasing burden of mortality

205 The influences of neighborhood socioeconomic status and marital status suggest that soc

206 ly adversity, in the form of abuse, neglect, socioeconomic status and other adverse experiences, is a

207 standing of the complex relationship between socioeconomic status and pediatric health outcomes for A

208 ional hazards regression models adjusted for socioeconomic status and potential risk factors were use

209 dels adjusted for age, sex, chronic disease, socioeconomic status and smoking social integration was

210 ilt environment and pollution, as well as by socioeconomic status and social networks.

211 iverse Hispanic population and suggests that socioeconomic status and structural factors, such as res

212 MICs presenting data on multiple measures of socioeconomic status and tobacco use, alcohol use, diet,

213 ID prevalence varied depending on socioeconomic status and type of milk fed (i.e., human o

214 to study moderation of differences by family socioeconomic status and wealth, and structural equation

215 leton pregnancies of women of high or middle socioeconomic status and without known environmental con

216 a greater risk of harm in individuals of low socioeconomic status compared with those of higher statu

217 Confounding by parental socioeconomic status explained little of the increased r

218 er blood lead levels and a decline in IQ and socioeconomic status from childhood to adulthood was obs

219 Participants with low socioeconomic status had greater mortality compared with

220 re is associated with cognitive function and socioeconomic status in adulthood and with changes in IQ

221 dicted by the following variables: household socioeconomic status in childhood, extended absence of a

222 65 years of age and older, and indicators of socioeconomic status including poverty, education, incom

223 levels were observed among children from all socioeconomic status levels in this cohort.

224 interaction between EduYears GPS and family socioeconomic status on educational achievement or on ge

225 nce (IRR, 1.17; 95% CI, 1.02 to 1.35); lower socioeconomic status quintiles (IRRs, 1.09 to 1.29); com

226 Here we show that the mere feeling of lower socioeconomic status relative to others stimulates appet

227 for HIV/AIDS and tuberculosis mortality and socioeconomic status that persisted from 2001 to 2013.

228 udy, we aimed to compare the contribution of socioeconomic status to mortality and years-of-life-lost

229 Neighborhood socioeconomic status was an important factor in all canc

230 Low socioeconomic status was associated with a 2.1-year redu

231 Socioeconomic status was based on the family income to p

232 Socioeconomic status was characterized as annual income

233 lation between alcohol-attributable harm and socioeconomic status was investigated for four measures

234 Socioeconomic status was unrelated to BMIz (95% CI, -0.2

235 ighborhood- and individual-level measures of socioeconomic status work together to play an important

236 tient-level factors (including age, sex, and socioeconomic status) and practice-level factors (includ

237 verity (asthma duration, age, sex, race, and socioeconomic status) did not associate with exacerbatio

238 king, alcohol, education (as a surrogate for socioeconomic status), physical activity, psychosocial v

239 ential effect modifiers (e.g., age, sex, and socioeconomic status), with adjustment for day of the we

240 challenge virus, affectivity, and childhood socioeconomic status).

241 to 5.31] in the highest quartile of parental socioeconomic status).

242 her the harmful effects of alcohol differ by socioeconomic status, accounting for alcohol consumption

243 for maternal body mass index, delivery year, socioeconomic status, age, parity, and comorbid conditio

244 t for relevant psychiatric comorbidities and socioeconomic status, an almost doubled hazard of violen

245 ysis, inflammation, vitamin A insufficiency, socioeconomic status, and age were also significantly as

246 index injury after adjustment for age group, socioeconomic status, and chronic conditions.

247 TEC-contaminated environments, demographics, socioeconomic status, and immunity.

248 ities in control of CVD risk factors by sex, socioeconomic status, and level of disability.

249 for maternal and pregnancy characteristics, socioeconomic status, and maternal and paternal cardiova

250 rgy intake, sex, physical activity, smoking, socioeconomic status, and stress.

251 ity values of private gardens in relation to socioeconomic status, and the decline in sizes of privat

252 d be focused on females, subjects from lower socioeconomic status, and those with physical disabiliti

253 th involvement of hormonal changes with age, socioeconomic status, birth characteristics, and pathoge

254 confounding variables (demographics, current socioeconomic status, body mass index, season, baseline

255 Confederate race and socioeconomic status, both of which were randomized, are

256 and after multivariable adjustment for age, socioeconomic status, depressive symptoms, health-relate

257 c and behavioral factors (being male, higher socioeconomic status, early dating, more externalizing b

258 risk factors (age, sex, immigration status, socioeconomic status, education, and substance misuse) f

259 for age, sex, urban or rural residence, and socioeconomic status, elevated AGP was positively associ

260 Age, denture use, socioeconomic status, health status, and health behavior

261 mental determinants (ie, parental education, socioeconomic status, home environment, and maternal dep

262 ective cohort studies with information about socioeconomic status, indexed by occupational position,

263 ovascular risk factors, serological studies, socioeconomic status, left ventricular structure, and me

264 gression, adjusting for age, sex, ethnicity, socioeconomic status, neighborhood-level deprivation, an

265 al confounding variables, including maternal socioeconomic status, obstetric complications, obesity,

266 latitude, independent of race or ethnicity, socioeconomic status, or body mass index.

267 while controlling for participants' current socioeconomic status, suggesting that obesity is rooted

268 (P = 0.027) at follow-up independent of sex, socioeconomic status, Tanner stage, monitor wear time, o

269 whom 47514 (5%) immigrated since 1985, sex, socioeconomic status, urban (vs rural) residence, and ca

270 l deprivation history, smoking, drinking and socioeconomic status, working-age men in fast-privatised

271 Oral health status is correlated with socioeconomic status.

272 getables, fish, and fibre than those of high socioeconomic status.

273 moking, followed by physical inactivity then socioeconomic status.

274 s with cardiovascular health might depend on socioeconomic status.

275 g factors and adjusted for comorbidities and socioeconomic status.

276 dence of effect modification by age, sex, or socioeconomic status.

277 nder and development, controlling for family socioeconomic status.

278 unit lower score (95% CI, -3.17 to -0.40) in socioeconomic status.

279 r alcohol-related death, with adjustment for socioeconomic status.

280 , taking into account the moderating role of socioeconomic status.

281 children and adolescents and those with low socioeconomic status.

282 these resources are distributed by community socioeconomic status.

283 nting for differences in racial identity and socioeconomic status.

284 rth, with outcomes improving with increasing socioeconomic status.

285 ial/ethnic minorities and individuals of low socioeconomic status.

286 , and processed food than individuals of low socioeconomic status.

287 nority race and ethnicity, and disadvantaged socioeconomic status.

288 tent significant associations with household socioeconomic status.

289 ace/ethnicity, maternal BMI, study site, and socioeconomic status.In this study, 214 infants (78%) we

290 lyses were stratified by body mass index and socioeconomic status.Scenarios 1 and 2 showed reductions

291 nce of present-oriented thinking among lower-socioeconomic-status (SES) groups and overlook key socia

292 ar risk factors among US adults in different socioeconomic strata.

293 Adults in each socioeconomic stratum have not benefited equally from ef

294 Eruptions are also followed by socioeconomic stress with increased hereditary land sale

295 ates real-world demographic, human mobility, socioeconomic, temperature, and vector density data.

296 energy sources are, among others, potential socioeconomic threats that our community faces today.

297 we also explored demographic, clinical, and socioeconomic variables associated with mortality.

298 atabase was used to abstract demographic and socioeconomic variables, including age, race, sex, marit

299 ity traits was associated with lifestyle and socioeconomic variables, such as smoking, diet and depri

300 Using linear regression and adjusting for socioeconomic variables, there were no differences in QO