Socioeconomic Status and Age: The Effect of Income Sources and Portfolios on U.S. Adult Mortality

Despite the persistent inverse relationship between family income and mortality, no one has examined the effect of distinct income sources or income portfolios on mortality risk. We link the National Health Interview Survey to the Multiple Cause of Death file and use hazard models to examine income-related mortality across four age groups. Income from jobs, self-employment, interest, and dividends each predicts lower mortality at the younger, middle, and early old ages. Diverse income portfolios buffer against mortality risk at all ages, net of the amount of income received. These findings illuminate the various dimensions of income that shape U.S. mortality risks.     

Ethnic and Birth Weight Differences in Cause-Specific Infant Mortality

This article examines ethnic differences in cause-specific infant mortality, using linked birth and infant death records from a cohort of New Mexican singleton infants, 1980-1983. The research, which applies log-linear analysis, focuses on the combined influences of ethnicity, birth weight, maternal age, and plurality on birth outcomes--that is, on infant survival and deaths due to perinatal, congenital, and respiratory diseases and to sudden infant death syndrome. The results confirm the pronounced impact of birth weight on infant mortality and identify similarities and differences among Anglo, Hispanic, and American Indian babies with respect to cause-specific infant mortality.     

Using surname data in U.S. Puerto Rican mortality analysis

Evidence suggests that among mainland-born decedents. Hispanic (particularly Puerto Rican) origin may have been underreported in states that have added an ancestry item to their death certificates. This study uses the 1980 Census Bureau Spanish-surname list to code surnames on New York City death certificates. By examining the correspondence between surname type and the response to the ancestry item, we identify potential underreporting of Hispanic ethnicity for Spanish-surnamed decedents. A surname-based method then is used to adjust mortality data for mainland-born Puerto Rican decedents.     

Origin dependence, secondary migration, and the indirect estimation of migration flows from population stocks

US census data from 1940 to 2000 are used in this paper to illustrate the importance of origin dependence on migration streams and to examine the effects of such dependence on patterns of interregional migration. These findings are then used to make possible the indirect estimation of migration flows. A method is introduced that uses historical regularities found in the ratios of secondary to primary migration and two consecutive birthplace-specific counts of multiregional population stocks. The results demonstrate how patterns of primary and secondary migration act to shape population redistribution processes.     

Living and dying in the U.S.A.: Sociodemographic determinants of death among blacks and whites

This paper examines the demographic and social factors associated with differences in length of life by race. The results demonstrate that sociodemographic factors--age, sex, marital status, family size, and income--profoundly affect black and white mortality. Indeed, the racial gap in overall mortality could close completely with increased standards of living and improved lifestyles. Moreover, examining cause-specific mortality while adjusting for social factors shows that compared to whites, blacks have a lower mortality risk from respiratory diseases, accidents, and suicide; the same risk from circulatory diseases and cancer; and higher risks from infectious diseases, homicide, and diabetes. These results underscore the importance of examining social characteristics to understand more clearly the race differences in overall and cause-specific mortality.     

Emergy-based Simulation to Assess Brazil’s Long-term Carrying Capacity: Environment, Electricity and Population

A macroscopic mini-model of Brazil’s electrical generating capacity (BRAZELECTRIX, Brazilian Electricity Matrix) was developed using the Energy Systems Language and simulated with iconographic Extend® software to explore long-term (200 years) population carrying capacity. South American reserves of natural gas (NG) and Brazilian stream hydro-power potential were assumed as the main inputs to electric power production. Energy values (e.g., kWh, joules) for fuels, electricity and environment were transformed to solar emergy (i.e., solar equivalent joules) to simplify cross comparison with a single metric. BRAZELECTRIX was calibrated using a holistic method that used mean component life-times and conservation of material and energy for each individual unit. Validation of BRAZELECTRIX, based on historical data, gave a root mean square error of 8% for hydroelectricity and 28% for natural gas use. Investments in natural gas infrastructure (e.g., contracts, pipelines, processing plants and electric power plants) accelerated Brazil’s expansion of electrical generating capacity for a finite period, allowing the country to reach its renewable (hydro-power only) carrying capacity 100 years sooner than without (2040 vs. 2140). Brazil has a total of 560 zetta-solar equivalent joules per annum (1 Zseja = 1 ×10²¹ sej per year) of stream hydro-power potential; 170 Zseja is currently used for electricity generation. According to BRAZELECTRIX, eventually 390 Zseja will be tapped for hydroelectricity. The standard of living, as measured by annual per capita electrical solar emergy, had risen 680% from 166 tera-solar equivalent joules (Tseja) to 1130 Tseja during the 35 year period following 1965 and was predicted to increase another 75% to its maximum (1973 Tseja) in 2050. By comparison, an urbanizing state of the United States (North Carolina) had an annual per capita electrical solar emergy of 7815 Tseja in 1992, indicating that Brazil could reach a living standard, as measured by per capita electricity usage, equal to one-forth the level of United States. Macroscopic mini-models combined with emergy accounting evaluated long-term paths for Brazil’s electricity supply and related it to natural environment trade-offs to demonstrate how sustainable carrying capacity of a developing nation can be forecast.     

Worry and rumination: Explanatory roles in the relation between pain and anxiety and depressive symptoms among college students with pain

Objective: Pain affects a significant proportion of college students in the United States and has been linked to anxiety and depressive symptoms. Rumination and worry, two transdiagnostic factors linked to comorbidity, may explain the relationship between pain and mental health symptoms.

Current Study: The current study examined worry and rumination as explanatory factors in the relationship between pain and anxiety and depressive symptoms in a sample of college students with pain (n?=?1,577; 79.9% female).

Results: Results indicated that both rumination and worry explained the relationship between pain and depressive and social anxiety symptoms, while rumination alone explained the relationship between pain and anxious arousal symptoms.

Conclusion: The current study provides novel empirical evidence that worry and rumination each help explain the relationship between pain and anxiety and depressive symptoms among college students with current pain, and college students in pain may benefit from targeted psychosocial strategies aimed at decreasing worry and ruminative responses.     

Joint modelling of pre-randomisation event counts and multiple post-randomisation survival times with cure rates: application to data for early epilepsy and single seizures

In this paper, we consider the analysis of recurrent event data that examines the differences between two treatments. The outcomes that are considered in the analysis are the pre-randomisation event count and post-randomisation times to first and second events with associated cure fractions. We develop methods that allow pre-randomisation counts and two post-randomisation survival times to be jointly modelled under a Poisson process framework, assuming that outcomes are predicted by (unobserved) event rates. We apply these methods to data that examine the difference between immediate and deferred treatment policies in patients presenting with single seizures or early epilepsy. We find evidence to suggest that post-randomisation seizure rates change at randomisation and following a first seizure after randomisation. We also find that there are cure rates associated with the post-randomisation times to first and second seizures. The increase in power over standard survival techniques, offered by the joint models that we propose, resulted in more precise estimates of the treatment effect and the ability to detect interactions with covariate effects.     

Estimation of interregional migration streams from place-of-birth-by-residence data

Place-of-birth-by-residence data, tabulated by age and sex for the same areal units in two successive censuses, have been used to estimate intercensal net migration flows. However, a fuller use of the same data permits the estimation of place-to-place flows. This paper describes a method for estimating intercensal migration streams from place-of-birth-by-residence data and illustrates its application with data on the white female native population of the United States.     

Individual and contextual risks of death among race and ethnic groups in the United States

An emerging area of social science research focuses on individual-level and contextual-level determinants of black-white adult mortality differentials in the United States. However, no research on adult mortality differentials has distinguished multiple Hispanic subgroups and explored the role of nativity at both the individual and contextual levels for small geographic areas. Using the 1986-1997 National Health Interview Survey-National Death Index linked file, we examine the effects of individual and contextual factors on black-white and multiple Hispanic subgroups (Mexican Americans, Puerto Ricans, and "other" Hispanic) differentials in adult mortality. In addition, we use a new, innovative geographic area--the very small area--as our contextual unit of analysis. We find that excess mortality risks for all race-ethnic groups considered are associated with not only individual characteristics, but also neighborhood characteristics. In addition, percent foreign born in a neighborhood is protective of Hispanic subgroup mortality for Puerto Rican, Mexican American, and "other" Hispanic adults in the 45-64 age category. These findings indicate a need for future research to examine more throughly the pathways through which neighborhood factors affect multiple Hispanic subgroup mortality and the role of nativity as a protective factor for older adult Hispanic mortality.