scholarly journals Marital status, partner acknowledgment of paternity, and neighborhood influences on smoking during first pregnancy: findings across race/ethnicity in linked administrative and census data

2020 ◽  
Vol 217 ◽  
pp. 108273
Author(s):  
Alexandra N. Houston-Ludlam ◽  
Mary Waldron ◽  
Min Lian ◽  
Alison G. Cahill ◽  
Vivia V. McCutcheon ◽  
...  
Keyword(s):  
Marital Status ◽  
Census Data ◽  
Neighborhood Influences ◽  
Race Ethnicity

Hospitalization burden and end-of-life (EOL) care in elderly patients with glioblastoma (GBM).

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 31-31
Author(s):  
Laura Donovan ◽  
Donna Buono ◽  
Melissa Kate Accordino ◽  
Jason Dennis Wright ◽  
Andrew B. Lassman ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Palliative Care ◽  
Elderly Patients ◽  
Marital Status ◽  
End Of Life ◽  
Remaining Life ◽  
Care Services ◽  
Palliative Care Services ◽  
Race Ethnicity ◽  
Eol Care

31 Background: GBM is associated with a poor prognosis and early death in elderly patients. Prior studies have demonstrated a high burden of hospitalization in this population. We sought to evaluate and examine trends in hospitalizations and EOL care in GBM survivors. Methods: Using SEER-Medicare linked data, we performed a retrospective observational cohort study of patients aged ≥ 65 years diagnosed with GBM from 2005-2017 who lived at least 6 months from the time of diagnosis. Aggressive EOL care was defined as: chemotherapy or radiotherapy within 14 days of death (DOD), surgery within 30 DOD, > 1 emergency department visit, ≥ 1 hospitalization or intensive care unit admission within 30 DOD; in-hospital death; or hospice enrollment ≤ 3 DOD. We evaluated age, race, ethnicity, marital status, gender, socioeconomic status, comorbidities, prior treatment and percentage of time hospitalized. Multivariable logistic regression was performed to determine factors associated with aggressive end of life care. Results: Of 5827 patients, 2269 (38.9%) survived at least 6 months. Among these, 1106 (48.7%) survived 6-12 months, 558 (24.6%) survived 12-18 months, and 605 (26.7%) survived > 18 months. Patients who survived 6-12 months had the highest burden of hospitalization and spent a median of 10.6% of their remaining life in the hospital compared to those surviving 12-18 months (5.4%) and > 18 months (3%) (P < 0.001). 10.1% of the cohort had claims for palliative care services; 49.8% of initial palliative care consults occurred in the last 30 days of life. Hospice claims existed in 83% with a median length of stay 33 days (IQR 12, 79 days). 30.1% of subjects received aggressive EOL care. Receiving chemo at any time (OR 1.510, 95% CI 1.221-1.867) and spending ≥ 20% of life in the hospital after diagnosis (OR 3.331, 95% CI 2.567-4.324) were associated with aggressive EOL care. Women (OR 0.759, 95% CI 0.624-0.922), patients with higher socioeconomic status (OR 0.533, 95% CI 0.342-0.829), and those diagnosed ≥ age 80 (OR 0.723, 95% CI 0.528-0.991) were less likely to receive aggressive EOL care. Race, ethnicity, marital status, and extent of initial resection were not associated with aggressive EOL care. Conclusions: A minority of elderly patients with GBM in the SEER-Medicare database survived ≥ 6 months; hospitalizations were common and patients spent a significant proportion of their remaining life hospitalized. Although hospice utilization was high in this cohort, 30% of patients received aggressive EOL care. Despite the aggressive nature of GBM, few patients had palliative care consults during their illness. Increased utilization of palliative care services may help reduce hospitalization burden and aggressive EOL care in this population.

scholarly journals Demographic Losses Due To Alcohol-Related Mortality in Lithuania: Results Obtained Through Combining Death Records with the 2011 Population Census Data

2014 ◽  
Vol 53 (1) ◽  
pp. 15-23
Author(s):  
Daumantas Stumbrys ◽  
Domantas Jasilionis ◽  
Dalia Ambrozaitienė ◽  
Vlada Stankūnienė
Keyword(s):  
Marital Status ◽  
Mortality Risk ◽  
Census Data ◽  
Population Data ◽  
Mortality Data ◽  
Population Census ◽  
The Republic ◽  
The Individual ◽  
Education Groups ◽  
Related Mortality

This paper presents the results of a study on sociodemographic mortality differentials in Lithuania based on censuslinked mortality data. Population data come from the individual records of the 2011 Population and Housing Census of the Republic of Lithuania. The results of the research demonstrate that education and marital status are very strong predictors of alcohol-related mortality. Among males aged 30 and older, the alcohol-related mortality risk in non-married groups is up to 3.4 times as high as in the group of married males. The alcohol-related mortality risk in lower-education groups is up to 3.7 times as high as in the group of those with higher education. The findings of the study suggest that the elimination of educational differences would allow avoiding 55.7 %, the elimination of marital status differences – 40.2 %, the elimination of ethnic group differences – 11.1 % of alcohol-related deaths.

Socioeconomic Dualism: The Case of Israeli-born Immigrants in the United States

1989 ◽  
Vol 23 (2) ◽  
pp. 267-288 ◽  
Author(s):  
Yinon Cohen
Keyword(s):  
United States ◽  
Marital Status ◽  
Labor Force ◽  
Census Data ◽  
Past Research ◽  
White Collar ◽  
The United States ◽  
Foreign Born ◽  
Socioeconomic Characteristics ◽  
Education Industry

Relying on the 1980 U. S. Census of Foreign-Born Population and the 1979 INS Public Use File, this article compares Israeli-born Americans (including Arabs) to both the United States and Israeli populations with respect to age, marital status, unemployment, education, industry, occupation and income as of 1979–80. Some of the results, mainly those pertaining to the demographic and socioeconomic characteristics of Israeli immigrants as compared to their society of origin, corroborate previous research. Thus, Israeli-born immigrants in the United States held top white-collar jobs and were less likely to be unemployed than the rest of the Israeli labor force. Once in America, however, it seems that not all Israeli-born Americans are as successful as portrayed by past research. In fact, the Census data reveal occupational and economic dualism among the population of Israeli-born Americans. The reasons for this dualism are discussed.

scholarly journals Flavonoid Intake Varies by Racial/Ethnic Groups Within Sociodemographic Categories

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1426-1426
Author(s):  
Kijoon Kim ◽  
Kyungho Ha ◽  
Junichi Sakaki ◽  
Hwayoung Noh ◽  
Ock Chun
Keyword(s):  
High School ◽  
Marital Status ◽  
College Education ◽  
School Education ◽  
High School Education ◽  
Total Flavonoid ◽  
Sociodemographic Characteristics ◽  
Increased Risk ◽  
Flavonoid Intake ◽  
Race Ethnicity

Abstract Objectives Diets rich in flavonoids can reduce the risk of developing chronic diseases through their antioxidant and anti-inflammatory properties. While differences in flavonoid intake by race/ethnicity have been previously described, differences between race/ethnicity within categories sociodemographic characteristics have not been fully assessed. Therefore, the objective of this study was to estimate flavonoid intake and evaluate the disparities by race/ethnicity within categories of sociodemographic characteristics in US adults. Methods A total of 15,775 US adults aged 20 years and older in NHANES 2007–2014 were included in this cross-sectional study. Flavonoid intake was calculated by linking food consumption data from a 24-hour diet recall to a flavonoid database which has been expanded on by our research group using the USDA Databases for the Flavonoid (Release 3.3), and Isoflavone (Release 2.1) in addition to the USDA's Expanded Flavonoid Database for the Assessment of Dietary Intakes (Release 1.1). Mean (SE) flavonoid intakes by sociodemographic categories were compared with one-way ANOVA. Results Among US adults, mean (SE) total flavonoid intake was 227.6 (8.0) mg/day, and total flavonoid intake was highest in 40–59 year olds, non-Hispanic whites, those with a poverty-income ratio (PIR) ≥1.85, those with a college education or above, and those married or living with a partner. In most sociodemographic categories, Hispanics consistently had the lowest total flavonoid intakes compared to other races/ethnicities. Among Hispanic subgroups, total flavonoid intake was lowest in men, 20–39 years olds, PIR &lt; 1.3, less than high school education, and single marital status (men only). Ethnic disparities in flavonoid intake were more pronounced between certain sociodemographic subcategories including men, 40–59 year olds, PIR &lt; 1.3, less than high school education, and married marital status (men only). Conclusions These findings indicate that there are significant racial differences in flavonoid intake. Notably, Hispanics tended to have the lowest intake. Certain sociodemographic populations such as males, low income or low educated may be at an increased risk of flavonoid under-consumption. Funding Sources This research received no external funding.

scholarly journals ADMINISTRATIVE INDICATORS OF FAMILY SUPPORT AMONG COMPLEX PATIENTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S218-S219
Author(s):  
Elvira E Jimenez ◽  
Ranak Trivedi ◽  
Alexis Huynh ◽  
Taona Haderlein ◽  
Marian Katz ◽  
...  
Keyword(s):  
Marital Status ◽  
Family Support ◽  
Medical Records ◽  
Multiple Chronic Conditions ◽  
Psychosocial Needs ◽  
Next Of Kin ◽  
Complex Patients ◽  
Race Ethnicity ◽  
And Gender ◽  
Ethnicity And Gender

Abstract Greater access to family support has been shown to positively affect the management of complex patients (i.e., multiple chronic conditions and psychosocial needs). However, patients’ availability of family support is not easily obtainable from medical records. We aim to identify administrative variables that can be used as indicators of family support. We investigated secondary next-of-kin (i.e., patient identified two next-of-kin) and marital status as administratively defined family support availability in a Veteran sample (n=2210). A subsample (n=329) was further evaluated with documented responses to questions “Are there any friends/family members you would like to involve in any aspect of your health care?” (i.e., “actual availability”) and “Does anyone help you with your daily activities?” (i.e., “obtained” availability). We performed a logistic regression analysis to evaluate the association between administratively defined and “actual” or “obtained” availability of support controlling for age, race/ethnicity, and gender. The sample was 90% male, mean age 63 years, 50%White and 44% African American. We found that 32.9% had administratively defined availability by being married, and 32.5% by listing secondary next-of kin. Married Veterans were significantly more likely to report greater actual availability (p=0.01) and obtained (p=0.04) support. Veterans listing a secondary next-of-kin were significantly more likely to report “actual” availability (p= 0.04) but not on “obtained” (p=0.08) support. Marital status may be a useful proxy of actual family support and listing a secondary next-of kin may be an alternate indicator for complex patients. Our study provides guidance on the use of administrative data in understanding caregivers.

Differences in overall survival for patients with cholangiocarcinoma: Racial/ethnic disparity or socioeconomic factors?

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 380-380 ◽  
Author(s):  
Rachel M Lee ◽  
Yuan Liu ◽  
Mohammad Yahya Zaidi ◽  
Adriana Carolina Gamboa ◽  
Maria C. Russell ◽  
...  
Keyword(s):  
Overall Survival ◽  
Socioeconomic Factors ◽  
Ethnic Groups ◽  
Racial Differences ◽  
Low Income ◽  
Census Data ◽  
Private Insurance ◽  
Cancer Data ◽  
Race Ethnicity ◽  
Racial Ethnic

380 Background: Inequities in cancer survival are well documented. Whether disparities in overall survival (OS) result from inherent racial differences in underlying disease biology or socioeconomic factors (SEF) is not known. Our aim was to define the association of race/ethnicity and SEF with OS in pts with cholangiocarcinoma (CCA). Methods: Pts with CCA of all sites and stages in the National Cancer Data Base (2004-14) were included. Racial/ethnic groups were defined as non-Hispanic White (NH-W), non-Hispanic Black (NH-B), Asian, and Hispanic. Income and education were based on census data for pts’ zip code. Income was defined as high (³$63,000) vs low ( < $63,000). Primary outcome was OS. Results: 27,151 pts were included with a mean age of 68 yrs; 51% were male. 78% were NH-W, 8% NH-B, 6% Asian, and 6% Hispanic. 56% had Medicare, 33% private insurance, 7% Medicaid, and 4% were uninsured. 67% had high income. 21% lived in an area where > 20% of adults did not finish high school. NH-B and Hispanic pts had more unfavorable SEF including uninsured status, low income, and less formal education than NH-W and Asian pts (all p < 0.001). They were also younger, more likely to be female and to have metastatic disease (all p < 0.001). Despite this, NH-B race and Hispanic ethnicity were not associated with decreased OS. Male sex, older age, non-private insurance, low income, lower education, non-academic facility, location outside the Northeast, higher Charlson-Deyo score, worse grade, larger tumor size, and higher stage were all associated with decreased OS (all p < 0.001). On MV analysis, along with adverse pathologic factors, type of insurance (p = 0.003), low income (p < 0.001), and facility type and location of treatment (p < 0.001) remained associated with decreased OS; non-white race/ethnicity was not. Conclusions: Disparities in survival exist in CCA, however they are not driven by race/ethnicity. Non-privately insured and low-income pts had decreased OS, as did pts treated at non-academic centers and outside the Northeast. This suggests that decreased ability to access and afford care results in worse outcomes, rather than biological differences amongst racial/ethnic groups.

scholarly journals 0360 Neighborhood Disadvantage is Associated with Lower Quality Sleep and More Variability in Weeknight Sleep Duration Among Urban Adolescents

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A137-A138
Author(s):  
N G Nahmod ◽  
L Master ◽  
H F McClintock ◽  
L Hale ◽  
O M Buxton
Keyword(s):  
Sleep Duration ◽  
Summer School ◽  
Multilevel Models ◽  
Census Data ◽  
National Level ◽  
Neighborhood Disadvantage ◽  
Disadvantaged Neighborhoods ◽  
Falling Asleep ◽  
Adolescent Sleep ◽  
Race Ethnicity

Abstract Introduction Differential social and contextual environments may contribute to adolescent sleep disparities. Yet, most prior studies are limited to self-reported sleep data, and the actigraphic studies of sleep are not conducted at a national level, thus limiting the variation in neighborhood contexts. This study examined the association between neighborhood disadvantage and actigraphic assessment of adolescent sleep. Methods Participants (682 adolescents, mean age 15.4 years) were racially/ethnically diverse (44% Black, 26% Hispanic, 17% White, 14% other race/ethnicity), sampled from 20 large US cities in the Fragile Families and Child Wellbeing Study. Neighborhood disadvantage was calculated from American Community Survey 2015 census data using the Standardized Neighborhood Deprivation Index (SNDI), consolidating five variables (proportion of female-headed households, public assistance recipients, households in poverty, adults without high school degrees, and unemployed) into an index. SNDI quartiles 1-3 fell below national averages of SNDI variables (“most disadvantaged”) and were compared to quartile 4 (“least disadvantaged”). Sleep indicators (duration, quality, and timing) were measured over ≥5 nights using wrist-worn accelerometers. Separate multilevel models estimated differences in sleep indicators, adjusting for weekday/weekend and summer/school year. General linear models used within-person standard deviations of sleep indicators (controlling for number of days) to test for associations between neighborhood disadvantage and consistency of weeknight sleep patterns. Models adjusted for individual-level sociodemographic covariates (age, sex, race/ethnicity, household income, caregiver education, and family structure). Results In fully adjusted models, adolescents living in more disadvantaged neighborhoods spent more time awake after falling asleep (4.0 minutes/night, p&lt;0.05), spent greater percentage of nighttime sleep intervals awake (1%, p&lt;.01), and had less consistent sleep duration (11.7% higher standard deviation, p&lt;.05). Sleep duration and timing did not differ across neighborhood groups. Conclusion Living in more disadvantaged neighborhoods is associated with lower quality adolescent sleep; more research is needed to identify causal mechanisms. Support Research was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health (NIH), award numbers R01HD073352 (PI: Hale), R01HD36916, R01HD39135, and R01 HD40421, and private foundations. The content is the responsibility of the authors and does not represent official NIH views.

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