Neighborhood risk factors for low birthweight in Baltimore: a multilevel analysis

Using internet-assisted geocoding of 1940 census addresses to reconstruct enumeration districts for use with redlining and longitudinal health datasets

Many historical administrative documents, such as the 1940 census, have been digitized and thus could be merged with geographic data. Merged data could reveal social determinants of health, health and social policy milieu, life course events, and selection effects otherwise masked in longitudinal datasets. However, most exact boundaries of 1940 census enumeration districts have not yet been georeferenced. These exact boundaries could aid in analysis of redlining and other geographic and social contextual factors important for health outcomes today. Our objective is to locate and map a large set of 1940 enumeration districts. We use online resources and algorithmic solutions to locate and georeference unknown 1940 enumeration districts. We geocode addresses using the OpenCage API and construct "virtual" enumeration districts by using a convex hull algorithm on those geocoded addresses. We also merge in Home Owners' Loan Corporation (HOLC) redlining maps from the 1930s to demonstrate how 1940 enumeration districts could be used in future work to examine the association between historic redlining and current health. We geocode 7,228,656 1940 census addresses from the largest 191 US cities in 1940 that contained 84% of the 1940 US urban population from the Geographic Reference File and construct 34,472 virtual enumeration districts in areas that had HOLC redlining maps. 18,340 virtual enumeration districts were previously unmapped, covering cities containing an additional 40% of the 1940 US urban population. Where virtual enumeration districts match with previously mapped districts, 96.8% of paired districts share HOLC redlining categorization. Researchers can use algorithmic methods to quickly process, geocode, merge, and analyze large scale repositories of historical documents that provide important data on social determinants of health. These 1940 enumeration district maps could be used with studies such as the Health and Retirement Study, Panel Study for Income Dynamics, and Wisconsin Longitudinal Study.

Quantifying the magnitude of the general contextual effect in a multilevel study of SARS-CoV-2 infection in Ontario, Canada: application of the median rate ratio in population health research

BACKGROUND

Regional variations in SARS-CoV-2 infection were observed in Canada and other countries. Studies have used multilevel analyses to examine how a context, such as a neighbourhood, can affect the SARS-CoV-2 infection rates of the people within it. However, few multilevel studies have quantified the magnitude of the general contextual effect (GCE) in SARS-CoV-2 infection rates and assessed how it may be associated with individual- and area-level characteristics. To address this gap, we will illustrate the application of the median rate ratio (MRR) in a multilevel Poisson analysis for quantifying the GCE in SARS-CoV-2 infection rates in Ontario, Canada.

METHODS

We conducted a population-based, two-level multilevel observational study where individuals were nested into regions (i.e., forward sortation areas [FSAs]). The study population included community-dwelling adults in Ontario, Canada, between March 1, 2020, and May 1, 2021. The model included seven individual-level variables (age, sex, asthma, diabetes, hypertension, congestive heart failure, and chronic obstructive pulmonary disease) and four FSA census-based variables (household size, household income, employment, and driving to work). The MRR is a median value of the rate ratios comparing two patients with identical characteristics randomly selected from two different regions ordered by rate. We examined the attenuation of the MRR after including individual-level and FSA census-based variables to assess their role in explaining the variation in rates between regions.

RESULTS

Of the 11 789 128 Ontario adult community-dwelling residents, 343 787 had at least one SARS-CoV-2 infection during the study period. After adjusting for individual-level and FSA census-based variables, the MRR was attenuated to 1.67 (39% reduction from unadjusted MRR). The strongest FSA census-based associations were household size (RR = 1.88, 95% CI: 1.71-1.97) and driving to work (RR = 0.68, 95% CI: 0.65-0.71).

CONCLUSIONS

The individual- and area-level characteristics in our study accounted for approximately 40% of the between-region variation in SARS-CoV-2 infection rates measured by MRR in Ontario, Canada. These findings suggest that population-based policies to address social determinants of health that attenuate the MRR may reduce the observed between-region heterogeneity in SARS-CoV-2 infection rates.

Bayesian rank likelihood-based estimation: An application to low birth weight in Ethiopia

BACKGROUND

Low birth weight is a significant risk factor associated with high rates of neonatal and infant mortality, particularly in developing countries. However, most studies conducted on this topic in Ethiopia have small sample sizes, often focusing on specific areas and using standard models employing maximum likelihood estimation, leading to potential bias and inaccurate coverage probability.

METHODS

This study used a novel approach, the Bayesian rank likelihood method, within a latent traits model, to estimate parameters and provide a nationwide estimate of low birth weight and its risk factors in Ethiopia. Data from the Ethiopian Demographic and Health Survey (EDHS) of 2016 were used as a data source for the study. Data stratified all regions into urban and rural areas. Among 15, 680 representative selected households, the analysis included complete cases from 10, 641 children (0-59 months). The evaluation of model performance considered metrics such as the root mean square error, the mean absolute error, and the probability coverage of the corresponding 95% confidence intervals of the estimates.

RESULTS

Based on the values of root mean square error, mean absolute error, and probability coverage, the estimates obtained from the proposed model outperform the classical estimates. According to the result, 40.92% of the children were born with low birth weight. The study also found that low birth weight is unevenly distributed across different regions of the country with the highest amounts of variation observed in the Afar, Somali and Southern Nations, Nationalities, and Peoples regions as represented by the latent trait parameter of the model. In contrast, the lowest low birth weight variation was recorded in the Addis Ababa, Dire Dawa, and Amhara regions. Furthermore, there were significant associations between birth weight and several factors, including the age of the mother, number of antenatal care visits, order of birth and the body mass index as indicated by the average posterior beta values of (β1= -0.269, CI=-0.320, -0.220), (β2= -0.235, CI=-0.268, -0.202), (β3= -0.120, CI=-0.162, -0.074) and (β5= -0.257, CI=-0.291, -0.225).

CONCLUSIONS

The study showed that the low birth weight estimates obtained from the latent trait model outperform the classical estimates. The study also revealed that the prevalence of low birth weight varies between different regions of the country, indicating the need for targeted interventions in areas with a higher prevalence. To effectively reduce the prevalence of low birth weight and improve maternal and child health outcomes, it is important to concentrate efforts on regions with a higher burden of low birth weight. This will help implement interventions that are tailored to the unique challenges and needs of each area. Health institutions should take measures to reduce low birth weight, with a special focus on the factors identified in this study.

Are individual-level risk factors for gastroschisis modified by neighborhood-level socioeconomic factors?

BACKGROUND

Two strong risk factors for gastroschisis are young maternal age (<20 years) and low/normal pre-pregnancy body mass index (BMI), yet the reasons remain unknown. We explored whether neighborhood-level socioeconomic position (nSEP) during pregnancy modified these associations.

METHODS

We analyzed data from 1269 gastroschisis cases and 10,217 controls in the National Birth Defects Prevention Study (1997-2011). To characterize nSEP, we applied the neighborhood deprivation index and used generalized estimating equations to calculate odds ratios and relative excess risk due to interaction.

RESULTS

Elevated odds of gastroschisis were consistently associated with young maternal age and low/normal BMI, regardless of nSEP. High-deprivation neighborhoods modified the association with young maternal age. Infants of young mothers in high-deprivation areas had lower odds of gastroschisis (adjusted odds ratio [aOR]: 3.1, 95% confidence interval [CI]: 2.6, 3.8) than young mothers in low-deprivation areas (aOR: 6.6; 95% CI: 4.6, 9.4). Mothers of low/normal BMI had approximately twice the odds of having an infant with gastroschisis compared to mothers with overweight/obese BMI, regardless of nSEP (aOR range: 1.5-2.3).

CONCLUSION

Our findings suggest nSEP modified the association between gastroschisis and maternal age, but not BMI. Further research could clarify whether the modification is due to unidentified biologic and/or non-biologic factors.

Neighborhood-level Socioeconomic Position During Early Pregnancy and Risk of Gastroschisis

BACKGROUND

Neighborhood-level socioeconomic position has been shown to influence birth outcomes, including selected birth defects. This study examines the un derstudied association between neighborhood-level socioeconomic position during early pregnancy and the risk of gastroschisis, an abdominal birth defect of increasing prevalence.

METHODS

We conducted a case-control study of 1,269 gastroschisis cases and 10,217 controls using data from the National Birth Defects Prevention Study (1997-2011). To characterize neighborhood-level socioeconomic position, we conducted a principal component analysis to construct two indices-Neighborhood Deprivation Index (NDI) and Neighborhood Socioeconomic Position Index (nSEPI). We created neighborhood-level indices using census socioeconomic indicators corresponding to census tracts associated with addresses where mothers lived the longest during the periconceptional period. We used generalized estimating equations to estimate odds ratios (ORs) and 95% confidence intervals (CIs), with multiple imputations for missing data and adjustment for maternal race-ethnicity, household income, education, birth year, and duration of residence.

RESULTS

Mothers residing in moderate (NDI Tertile 2 aOR = 1.23; 95% CI = 1.03, 1.48 and nSEPI Tertile 2 aOR = 1.24; 95% CI = 1.04, 1.49) or low socioeconomic neighborhoods (NDI Tertile 3 aOR = 1.28; 95% CI = 1.05, 1.55 and nSEPI Tertile 3 aOR = 1.32, 95% CI = 1.09, 1.61) were more likely to deliver an infant with gastroschisis compared with mothers residing in high socioeconomic neighborhoods.

CONCLUSIONS

Our findings suggest that lower neighborhood-level socioeconomic position during early pregnancy is associated with elevated odds of gastroschisis. Additional epidemiologic studies may aid in confirming this finding and evaluating potential mechanisms linking neighborhood-level socioeconomic factors and gastroschisis.

The associations of objective and perceived neighborhood disadvantage with stress among pregnant black women

BACKGROUND

Neighborhood disadvantage may impact risk of preterm birth through stress. Few studies have examined how neighborhood disadvantage relates to stress during pregnancy, especially for Black women.

METHODS

Secondary data analysis of 572 women in a prospective cohort in Detroit, MI and Columbus, OH. Participants completed questionnaires including the ROSS Neighborhood Disorder Scale, the crime subscale of the Perceived Neighborhood Scale (PNS), and the Perceived Stress Scale. An objective neighborhood disadvantage index (NDI) was created using principal components analysis after geocoding residential addresses and linking to Census data.

RESULTS

All models used logistic regression. Adjusted for maternal age and annual household income, perceived stress was positively associated with perceived neighborhood disorder (p < .01). In a separate model, perceived neighborhood crime was positively associated with perceived neighborhood disorder (p = .005). In a joint model adjusted for age and income, the association of disorder with stress was similar in magnitude (p < .01) but the association between crime and stress weakened. The NDI was not associated with perceived stress before or after adjustment for confounders.

CONCLUSIONS

Perceived neighborhood disadvantage may capture a different dimension than objective neighborhood disadvantage. Future studies should test stress as a pathway by which neighborhood environment increases risk of preterm birth.

The application of intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to examine birthweight inequities in New York City

Exploring the intersection of dimensions of social identity is critical for understanding drivers of health inequities. We used multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to examine the intersection of age, race/ethnicity, education, and nativity status on infant birthweight among singleton births in New York City from 2012 to 2018 (N = 725,875). We found evidence of intersectional effects of various systems of oppression on birthweight inequities and identified U.S.-born Black women as having infants of lower-than-expected birthweights. The MAIHDA approach should be used to identify intersectional causes of health inequities and individuals affected most to develop policies and interventions redressing inequities.

Why Social (Political, Economic, Cultural, Ecological) Determinants of Health? Part 1: Background of a Contested Construct

This article is the first half of a 2-part essay on the Social Determinants of Health (SDOH) as a field of scientific inquiry and theoretical framework, exploring its historical roots, current applications, and the controversies that surround it. Part 1 (this article) discusses the background and rationale of the SDOH framework, whilst part 2 (forthcoming) will analyze the current alternatives to this framework. The authors analyze the debate surrounding the contested term "social" in the field of health equity, through a clarification of the terms "social" and "social systems" and providing an alternative model through realist semantics and ethics. Despite the misunderstandings of the term "social," the authors argue that SDOH remains a useful umbrella term to capture the political, economic, cultural, and ecological determinants of health. Through this essay, the authors outline the reasons behind our decision to change this journal's title from International Journal of Health Services to International Journal of Social Determinants of Health and Health Services.

Determining Gentrification's Relationship to Birth Outcomes in Metropolitan California

There is inconsistent evidence as to whether gentrification, the increase of affluent residents into low-income neighborhoods, is detrimental to health. To date, there is no systematic evidence on how gentrification may matter for a range of birth outcomes across cities with varying characteristics. We utilize California's Birth Cohort File (2009-2012), Decennial Census data, and the American Community Survey (2008-2012) to investigate the relationship of gentrification to: preterm birth, low birthweight, and small-for-gestational-age across California. We find that socioeconomic gentrification is uniformly associated with better birth outcomes. Notably, however, we find that only places specifically experiencing increases in non-White gentrification had this positive impact. These associations vary somewhat by maternal characteristics and by type of gentrification measure utilized; discrepancies between alternative measurement strategies are explored. This study provides evidence that socioeconomic gentrification is positively related to birth outcomes and the race-ethnic character of gentrification matters, emphasizing the continued need to examine how gentrification may impact a range of health and social outcomes.

Prevalence and Factors Associated With Suicidal Ideation Among Adult Eritrean Refugees in Northern Ethiopia

Background

The present study assessed the prevalence of and factor associated with suicidal ideations among adult Eritrean refugees in Tigray, Ethiopia.

Methods

A community-based cross-sectional study was carried out among 400 adult refugees living in the Mai-Aini refugee camp in Tigray, Northern Ethiopia from September 2019 to May 2020. The response variable was suicidal ideation and was measured using World Mental Health (WMH) Survey Initiative Version of the World Health Organization Composite International Diagnostic Interview. We applied bivariate and multivariate logistic regression to determine predictors for suicide ideations. Odds ratios and p-values were determined to check the associations between variables, and a p-value <0.05 was considered as a cut-off for statistical significance.

Results

The prevalence of suicidal ideations was 20.5% (95% CI: 16.4%, 24.5%). Having previous history of trauma [AOR = 2.3, 95% CI: 1.4, 4.5], a history of chronic illness [AOR = 2.9, 95% CI: 1.3, 6.5], a family history of mental disorder [AOR = 3.08, 95% CI: 1.3, 7.06], and history of post-traumatic stress disorder [AOR = 5.7, 95% CI: 2.8, 11.5] were significantly associated with suicidal ideations.

Conclusions

This study showed that during the stay in the refugee camp, there was a high prevalence of suicide ideations compared to the prevalence of suicide ideations among the general populations of Ethiopia, Europe, and China, and the lifetime pooled prevalence across 17 countries. Having previous history of trauma, a history of chronic illness, a family history of mental disorder, and history of post-traumatic stress disorder were the factors statistically associated with the suicidal ideation.

Socioeconomic disadvantages and vulnerability to the pandemic among children and youth: A macro-level investigation of American counties

This study intends to reveal the underlying structural inequity in vulnerability to infection of the novel coronavirus disease pandemic among children and youth. Using multi-source data from New York Times novel coronavirus disease tracking project and County Health Rankings & Roadmap Program, this study shows that children and youth in socioeconomically disadvantaged status are faced with disproportionate risk of infection in this pandemic. On the county level, socioeconomic disadvantages (i.e., single parent family, low birthweight, severe housing problems) contribute to the confirmed cases and death cases of the novel coronavirus disease. Policymakers should pay more attention to this vulnerable group to implement more targeted and effective epidemic prevention and control.

Association of historic redlining and present-day health in Baltimore

BACKGROUND

In the 1930s, the Home Owners' Loan Corporation categorized neighborhoods by investment grade along racially discriminatory lines, a process known as redlining. Although other authors have found associations between Home Owners' Loan Corporation categories and current impacts on racial segregation, analysis of current health impacts rarely use these maps.

OBJECTIVE

To study whether historical redlining in Baltimore is associated with health impacts today.

APPROACH

Fifty-four present-day planning board-defined community statistical areas are assigned historical Home Owners' Loan Corporation categories by area predominance. Categories are red ("hazardous"), yellow ("definitely declining") with blue/green ("still desirable"/"best") as the reference category. Community statistical area life expectancy is regressed against Home Owners' Loan Corporation category, controlling for median household income and proportion of African American residents.

CONCLUSION

Red categorization is associated with 4.01 year reduction (95% CI: 1.47, 6.55) and yellow categorization is associated with 5.36 year reduction (95% CI: 3.02, 7.69) in community statistical area life expectancy at baseline. When controlling for median household income and proportion of African American residents, red is associated with 5.23 year reduction (95% CI: 3.49, 6.98) and yellow with 4.93 year reduction (95% CI: 3.22, 6.23). Results add support that historical redlining is associated with health today.

Association between maternal periodontal disease and adverse pregnancy outcomes: an analysis of claims data

BACKGROUND

While a number of studies have explored the link between periodontal disease and adverse pregnancy outcomes, both epidemiological studies and intervention trials have reached contradictory results with relatively small sample sizes. Utilizing large-scale claims data, we aim to investigate the association between maternal periodontal disease and adverse pregnancy outcomes.

OBJECTIVE

Utilizing large-scale claims data, we aim to investigate the association between maternal periodontal disease and adverse pregnancy outcomes.

METHODS

Using de-identified claims data from a national commercial insurer in the USA, records of all observed pregnancies from 2015 to 2019 were included in this retrospective cohort study. Adverse pregnancy outcomes, including low birthweight (LBW) of the newborn, preterm birth (PTB) and spontaneous abortion, were primary outcomes. To evaluate the association between periodontal disease and pregnancy outcomes, logistic mixed-effect model was estimated with periodontal disease status, age, existing clinical conditions of mothers and geographic location as covariates.

RESULTS

Out of 748 792 observed pregnancy records, 18.66% resulted in adverse pregnancy outcomes; 5.92% in LBW, 14.46% in PTB and 2.22 % in spontaneous abortion. Adjusting for individual-level risk factors, periodontal disease was significantly associated with maternal complications with odds ratios of 1.19 (95% CI:1.15, 1.24) for any adverse pregnancy outcomes, 1.10 (95% CI:1.03, 1.17) for LBW, 1.15 (95% CI:1.10, 1.19) for PTB and 1.34 (95% CI:1.23, 1.46) for spontaneous abortions.

CONCLUSIONS

Maternal periodontal disease may be associated with an increased risk of maternal complications and neonatal morbidity. A timely diagnosis and treatment of periodontal disease during pregnancy should be encouraged by considering oral health as part of routine prenatal care.

Integrating the Built and Social Environment into Health Assessments for Maternal and Child Health: Creating a Planning-Friendly Index

Environmental and community context earliest in the life course have a profound effect on life-long health outcomes. Yet, standard needs assessments for maternal and child health (MCH) programs often overlook the full range of influences affecting health in-utero and early childhood. To address this, we developed a methodology for assessing community risk in MCH based on six domains integrating 66 indicators across community, environment, socioeconomic indicators, and MCH outcomes. We pilot this methodology in Pennsylvania, and share examples of how local governments, planners, and public health officials across the geographic spectrum can integrate this data into community planning for improved maternal and child health.

Black Pregnant Women "Get the Most Judgment": A Qualitative Study of the Experiences of Black Women at the Intersection of Race, Gender, and Pregnancy

BACKGROUND

Pronounced racial disparities in maternal and infant health outcomes persist in the United States. Using an ecosocial and intersectionality framework and biopsychosocial model of health, we aimed to understand Black pregnant women's experiences of gendered racism during pregnancy.

METHODS

We conducted semistructured interviews with 24 Black pregnant women in New Haven, Connecticut. We asked women about their experience of being pregnant, experiences of gendered racism, and concerns related to pregnancy and parenting Black children. Transcripts were coded by three trained analysts using grounded theory techniques.

RESULTS

Women experienced gendered racism during pregnancy-racialized pregnancy stigma-in the form of stereotypes stigmatizing Black motherhood that devalued Black pregnancies. Women reported encountering assumptions that they had low incomes, were single, and had multiple children, regardless of socioeconomic status, marital status, or parity. Women encountered racialized pregnancy stigma in everyday, health care, social services, and housing-related contexts, making it difficult to complete tasks without scrutiny. For many, racialized pregnancy stigma was a source of stress. To counteract these stereotypes, women used a variety of coping responses, including positive self-definition.

CONCLUSIONS

Racialized pregnancy stigma may contribute to poorer maternal and infant outcomes by way of reduced access to quality health care; impediments to services, resources, and social support; and poorer psychological health. Interventions to address racialized pregnancy stigma and its adverse consequences include anti-bias training for health care and social service providers; screening for racialized pregnancy stigma and providing evidence-based coping strategies; creating pregnancy support groups; and developing a broader societal discourse that values Black women and their pregnancies.

Designing healthier neighbourhoods: a systematic review of the impact of the neighbourhood design on health and wellbeing

Several studies have investigated the impact of neighbourhood design on health and wellbeing, yet there are limited reviews investigating the quality of the evidence and the most effective interventions at a population level. This systematic review aims to clarify the impact of the neighbourhood design on health and wellbeing and evaluate the quality of the evidence underpinning such associations. Eight electronic databases were searched for studies conducted between 2000 and 2016. Additional searches were conducted on Google to identify potentially eligible grey literature. A total of 7694 studies were returned from the literature search, and a final selection of 39 studies were deemed eligible for inclusion. Quality appraisal was conducted using the Quality Assessment Tool for Quantitative Studies. Findings from the studies showed important associations between neighbourhood design principles such as walkability, access to green space and amenities on health and wellbeing. Findings from this review also highlight areas with inconsistent findings and gaps in the evidence for future research.

Associations of Socioeconomic Status, Public vs Private Insurance, and Race/Ethnicity With Metastatic Sarcoma at Diagnosis

IMPORTANCE

Approximately 10% to 30% of patients with sarcoma present with detectable metastases at diagnosis. However, the extent to which presentation with metastases is due to delayed diagnosis vs other factors remains unclear.

OBJECTIVE

To evaluate whether socioeconomic status, insurance status, or race/ethnicity were associated with the presence of metastases at diagnosis of sarcoma.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used data from the population-based Surveillance, Epidemiology, and End Results program. Adult and pediatric patients with an initial diagnosis of soft-tissue and bone sarcoma between 2001 and 2015 were stratified by age group (pediatric, <20 years; adult, 20-65 years; older adult, >65 years) and sarcoma subtype. Statistical analyses were performed between August 2019 and January 2020.

EXPOSURES

Surveillance, Epidemiology, and End Results Census tract-level socioeconomic status index, insurance status, and race/ethnicity.

MAIN OUTCOMES AND MEASURES

The odds of presenting with metastases at diagnosis were calculated.

RESULTS

A total of 47 337 patients with first primary malignant sarcoma were included (24 343 male patients [51.4%]), with 29 975 non-Hispanic White patients (63.3%), 5673 non-Hispanic Black patients (12.0%), 7504 Hispanic patients (15.8%), and 4185 American Indian-Alaskan Native and Asian Pacific Islander patients (8.8%). Liposarcoma in adults was the only subtype and age group combination that demonstrated a significant trend in incidence across socioeconomic status levels (odds ratio, 0.85; 99% CI, 0.76-0.96; P = .001). However, compared with having non-Medicaid insurance, having Medicaid or no insurance in adults was associated with an increased odds of metastases at diagnosis for 6 of the 8 sarcoma subtypes evaluated; osteosarcoma and Ewing sarcoma were the only 2 subtypes in adults for which metastases were not associated with insurance status. In addition, there was an increased risk of presenting with metastases among non-Hispanic Black adults diagnosed with leiomyosarcoma (odds ratio, 1.87; 99% CI, 1.41-2.48) and unclassified sarcomas (odds ratio, 1.65; 99% CI, 1.01-2.67) compared with non-Hispanic White adults that was independent of socioeconomic and insurance status.

CONCLUSIONS AND RELEVANCE

These findings suggest that delayed access to care is associated with advanced stage at diagnosis for several soft-tissue sarcoma subtypes in adults, whereas other factors may be associated with the metastatic progression of osteosarcoma and Ewing sarcoma, as well as the racial disparities observed with metastatic leiomyosarcoma and unclassified sarcomas.

Reproductive health of Roma women in Slovakia

OBJECTIVE

In most indicators of the way of life, the Roma community is generally different from the majority population and dominant culture. The objective of the study was to describe factors affecting the health of the Roma living in Slovakia, with an emphasis on the sexual and reproductive health of Roma women, and report on the results of analysis of high-risk pregnancies of Roma women in the district of Rimavská Sobota, Slovakia.

METHODS

A retrospective study of medical documentation was used. The results were analyzed using the absolute and relative frequencies. Statistical methods were used.

RESULTS

A total of 1,256 high-risk pregnancies were analyzed, of which 622 (49.52%) were in Roma women. The average age of Roma respondents was lower by 5 years compared to non-Roma. The age of Roma women at the first pregnancy was statistically significantly lower compared to non-Roma (p < 0.001). The Roma respondents achieved statistically significantly lower levels of education than non-Roma. There was a demonstrably higher number of pregnancies as well as a higher number of artificial and spontaneous abortions per Roma woman. These results were statistically significant. For Roma women, pregnancy began to be risky demonstrably earlier than for non-Roma (p < 0.001). There was a statistically significant difference in attending prenatal counselling. Roma women attended prenatal counselling statistically significantly less frequently than non-Roma (p < 0.001). A significant statistical dependence was found between attending prenatal counselling and the onset of pregnancy problems in Roma women. There was no significant difference in the incidence of other diseases associated with high-risk pregnancy among Roma and non-Roma respondents.

CONCLUSION

The findings indicate that Roma women are exposed to health problems in the area of sexual and reproductive health in Slovakia. In the approach to the Roma, it is essential to focus on improving accessibility to health care, prevention, knowledgeableness and effectively preventing, eradicating and strongly penalizing all forms of discrimination in access to health care, especially for Roma women, who are more likely to receive health care.

Preterm birth disparities between states in the United States: an opportunity for public health interventions

Objective: To examine associations between statelevel characteristics and state-level preterm birth rates.Study design: We conducted a retrospective ecological cross-sectional study using statelevel data from 2013 to 2014 extracted from publicly available sources -the March of Dimes PeriStats database, the U.S. Census Bureau, the US Department of Education, and the US Department of Justice.Results: State-level preterm birth rates correlated with the following state characteristics: poverty rate, obesity rate, percentage of non-Hispanic Black women residents, smoking rate, percent of C - section deliveries, percent of births to women <20 years old, pregnancies receiving late/no prenatal care, and violent crimes per capita. Linear regression analysis found that only the percent of non-Hispanic Black women by state remained a significant predictor of state-level preterm birth rates after adjusting for other risk factors.Conclusions: States with higher percentages of non-Hispanic Black women had higher rates of preterm birth, even after adjusting for sociodemographic characteristics, prenatal care, and maternal health by state. These findings suggest that public health interventions that target contextual and environmental risk factors affecting non-Hispanic Black women may help to curb rising rates of preterm birth in the United States.

Ambient air pollution and markers of fetal growth: A retrospective population-based cohort study of 2.57 million term singleton births in China

BACKGROUNDS

Evidence is scarce on the relation between maternal exposure to ambient air pollution during pregnancy and fetal growth in developing countries. Moreover, the current evidence is inconsistent. We aimed to investigate the association of trimester-specific exposure to air pollution with risk of being born small for gestational age (SGA) and birth weight-markers of fetal growth-among Chinese term births.

METHODS

This retrospective population-based cohort study consisted of 2,567,457 singleton term live-births from January 1, 2014 to December 31, 2017 across 123 Chinese districts and counties. Personal exposure to ambient air pollutants including carbon monoxide (CO), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), ozone (O₃), particulate matter with aerodynamic diameter < 2.5 μm (PM_2.5), and PM₁₀ was assigned using the inverse distance weighting spatial interpolation algorithm. Generalized estimating equations (GEE) logistic regression models were performed to estimate the associations between trimester-specific exposure to air pollution and risk of SGA or low birth weight (LBW), and GEE linear regression to examine the associations between the exposure and term birth weight, adjusting for maternal demographics, maternal cigarette smoking status during pregnancy, mode of delivery, gravidity, gestational age, year and month of conception, neonate's sex, and meteorological factors. Stratified and sensitivity analyses were also performed.

RESULTS

When mother exposed to ambient air pollutants over the entire pregnancy, per IQR increment (0.122 mg/m³) in ambient CO concentrations was associated with higher risk of SGA (odds ratio (OR) = 1.04, 95% confidence interval (CI): 1.02, 1.05) and reduced birth weight among term births (-5.95 g, 95% CI: -8.01, -3.89). This association was also pronounced in the second and third trimesters. Term birth weight was negatively associated with per IQR increase of O₃ (-3.52 g, 95% CI: -6.23, -0.81), PM_2.5 (-5.93 g, 95% CI: -8.36, -3.49) and PM₁₀ (-7.78 g, 95% CI: -10.41, -5.16) during the entire pregnancy, respectively. No significant association was detected between maternal exposure to air pollutants and term LBW. Effect estimates of heterogeneity suggested that maternal age and infant sex modified the impact of air pollution on birth weight.

CONCLUSIONS

The findings suggest that maternal exposure to air pollution during pregnancy is adversely affecting fetal growth. Further studies are warranted to integrate these findings and take clinical or public health interventions in pregnancy.

Adjusting for spatial variation when assessing individual-level risk: A case-study in the epidemiology of snake-bite in Sri Lanka

Background

Health outcomes and causality are usually assessed with individual level sociodemographic variables. Studies that consider only individual-level variables can suffer from residual confounding. This can result in individual variables that are unrelated to risk behaving as proxies for uncaptured information. There is a scarcity of literature on risk factors for snakebite. In this study, we evaluate the individual-level risk factors of snakebite in Sri Lanka and highlight the impact of spatial confounding on determining the individual-level risk effects.

Methods

Data was obtained from the National Snakebite Survey of Sri Lanka. This was an Island-wide community-based survey. The survey sampled 165,665 individuals from all 25 districts of the country. We used generalized linear models to identify individual-level factors that contribute to an individual’s risk of experiencing a snakebite event. We fitted separate models to assess risk factors with and without considering spatial variation in snakebite incidence in the country.

Results

Both spatially adjusted and non-adjusted models revealed that middle-aged people, males, field workers and individuals with low level of education have high risk of snakebites. The model without spatial adjustment showed an interaction between ethnicity and income levels. When the model included a spatial adjustment for the overall snakebite incidence, this interaction disappeared and income level appeared as an independent risk factor. Both models showed similar effect sizes for gender and age. HEmployment and education showed lower effect sizes in the spatially adjusted model.

Conclusions

Both individual-level characteristics and local snakebite incidence are important to determine snakebite risk at a given location. Individual level variables could act as proxies for underling residual spatial variation when environmental information is not considered. This can lead to misinterpretation of risk factors and biased estimates of effect sizes. Both individual-level and environmental variables are important in assessing causality in epidemiological studies.

The Great Recession and adverse birth outcomes: Evidence from California, USA

Objectives

Prior studies of the health effects of recessions have shown mixed results. Ecological studies often report a positive relationship between economic downturns and population health while individual-level studies often show that conditions related to recessions are deleterious. Our study examines the spatially and temporally heterogenous effects of the Great Recession (TGR) on adverse birth outcomes, a contemporaneous measure of population health that is highly responsive to changing social conditions.

Methods

We use restricted birth cohort data from California (2004–2012) merged with both county- and tract-level socio-demographic data, to explore birth selectivity and temporal and unemployment effects during TGR on adverse birth outcomes.

Results

We find that gestational exposure – more specifically, second trimester exposure – during or adjacent to the months of TGR was generally deleterious for birth outcomes, more so, in some cases, for mothers with lower levels of education, and that increases in county-level unemployment were generally deleterious for birth outcomes.

Conclusions

Although recessionary effects on population health are problematic and may have far-reaching effects, it appears that these effects may be largely universal, even given potential selective fertility favoring advantaged groups.

•

We use restricted data from California to determine the effects of The Great Recession on adverse birth outcomes.

•

We find that increases in unemployment are generally harmful to birth outcomes.

•

We also find these effects to be largely universal and not differential in disparity populations.

Hot Spots of Crime are Not Just Hot Spots of Crime: Examining Health Outcomes at Street Segments

In this paper we seek to identify whether the relationship between health disparities and crime occurs at a micro geographic level. Do hot spot streets evidence much higher levels of mental and physical illness than streets with little crime? Are residents of crime hot spots more likely to have health problems that interfere with their normal daily activities? To answer these questions, we draw upon a large National Institutes of Health study of a sample of hot spots and non-hot spots in Baltimore, Maryland. This is the first study we know of to report on this relationship, and accordingly we present unique descriptive data. Our findings show that both physical and mental health problems are much more likely to be found on hot spot streets than streets with little crime. This suggests that crime hot spots are not simply places with high levels of crime, but also places that evidence more general disadvantage. We argue that these findings have important policy implications for the targeting of health services and for developing proactive prevention programs.

Bridging the Housing and Health Policy Divide: Lessons in Community Development from Memphis and Baltimore

Governments and nonprofits routinely partner to launch place-based initiatives in distressed neighborhoods with the goal of stabilizing real estate markets, reclaiming vacant properties, abating public nuisances, and reducing crime. Public health impacts and outcomes are rarely the major policy drivers in the design and implementation of these neighborhood scale initiatives. In this article, we examine recent Health Impact Assessments in Baltimore, Maryland and Memphis, Tennessee to show how public health concepts, principles, and practices can be infused into existing and new programs and policies, and how public health programs can help to improve population health by addressing the upstream social determinants of health. We provide a portfolio of ideas and practices to bridge this classic divide of housing and health policy.

Neighborhood and Social Environmental Influences on Child Chronic Disease Prevalence

We investigate how distinct residential environments uniquely influence chronic child disease. Aggregating over 200,000 pediatric geocoded medical records to the census tract of residence and linking them to neighborhood-level measures, we use multiple data analysis techniques to assess how heterogeneous exposures of social and environmental neighborhood conditions influence an index of child chronic disease (CCD) prevalence for the neighborhood. We find there is a graded relationship between degree of overall neighborhood disadvantage and children's chronic disease such that the highest neighborhood CCD scores reside in communities with the highest concentrated disadvantage. Finally, results show that higher levels of neighborhood concentrated disadvantage and air pollution exposure associate with higher risks of having at least one chronic condition for children after also considering their individual- and family-level characteristics. Overall, our analysis serves as a comprehensive start for future researchers interested in assessing which neighborhood factors matter most for child chronic health conditions.

Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care

Background

Multidisciplinary cleft care depends on follow-up at specified time points to monitor and address functional or aesthetic concerns that may arise during a child's development. However, loss to follow-up (LTFU) is common and can lead to missed opportunities for therapeutic and surgical intervention. This study explores clinical, demographic, and geographic determinants of LTFU in cleft care.

Methods

Medical records were retrospectively evaluated for 558 pediatric patients of a single mid-volume cleft team. The primary outcome was LTFU. Spatial dependency was evaluated using variograms. The probability of LTFU was assessed using a generalized linear geostatistical model within a Bayesian framework. Risk maps were plotted to identify vulnerable communities within our state at higher risk of LTFU.

Results

Younger age at last encounter was a strong predictor of LTFU (P < 0.0001), even when ignoring spatial dependency among observations. When accounting for spatial dependency, lower socioeconomic status [OR = 0.98; 95% CI = (0.97-0.99)] and cleft phenotype [OR = 0.55; 95% CI = (0.36, 0.81)] were significant predictors of LTFU. Distance from the cleft team and rural/urban designation were not statistically significant predictors. Cartographic representation of predicted probability of LTFU revealed vulnerable communities across our state, including in the immediate vicinity of our cleft center.

Conclusions

Geostatistical methods are able to identify risk factors missed by traditional statistical analysis. Knowledge of vulnerable populations allow a cleft team to allocate more resources toward high-risk areas to rectify or prevent deficiencies in care.

The research topic landscape in the literature of social class and inequality

The literature of social class and inequality is not only diverse and rich in sight, but also complex and fragmented in structure. This article seeks to map the topic landscape of the field and identify salient development trajectories over time. We apply the Latent Dirichlet Allocation topic modeling technique to extract 25 distinct topics from 14,038 SSCI articles published between 1956 to 2017. We classified three topics as "hot", eight as "stable" and 14 as "cold", based on each topic's idiosyncratic temporal trajectory. We also listed the three most cited references and the three most popular journal outlets per topic. Our research suggests that future effort may be devoted to Topics "urban inequalities, corporate social responsibility and public policy in connected capitalism", "education and social inequality", "community health intervention and social inequality in multicultural contexts" and "income inequality, labor market reform and industrial relations".

Mean Streets and Mental Health: Depression and Post-Traumatic Stress Disorder at Crime Hot Spots

This study explores the relationship between mental health and place at microgeographic units of analysis. We examine self-reported symptomology for depression and PTSD for 2,724 survey respondents interviewed in three types of randomly selected street segments: violent crime hot spots, cool spots, and cold spots. We find that the mean symptomology score is 61% higher for depression in violent crime hot spots than cold spots, and 85% higher for PTSD. Overall, we estimate that 14.8% of residents of violent crime hot spots meet thresholds for moderate depression or a diagnosis of PTSD. This can be compared to only 6.5% of residents at the cold spots. Using PSM and weighted negative binomial regression approaches we show that observable selection factors are not responsible for the relationships identified. Examining geographic influences, we find an important area effect of violent crime for both mental health measures, and an additional impact of the specific street of residence for PTSD.

Family Socioeconomic Status, Cortisol, and Physical Health in Early Childhood: The Role of Advantageous Neighborhood Characteristics

OBJECTIVE

Children from families with lower socioeconomic status (SES) evidence greater physiological dysregulation and poorer health. Despite recognition of environmental contributors, little is known about the influence of neighborhood characteristics. The present study examined the moderating role of community-level risks and resources on the relation of family SES to children's daily cortisol output and physical health during the kindergarten year.

METHODS

In fall and spring of kindergarten, children's (N = 338) daily total cortisol was measured and parents and teachers rated children's global physical health. Parents reported family SES. Neighborhood characteristics were assessed using the Child Opportunity Index, a population-level tool that evaluates the quality of multiple domains of neighborhood attributes.

RESULTS

In fall, children reared in lower SES family environments had higher cortisol when residing in lower quality (lower opportunity) neighborhoods (b = -.097, p < .001), but there was no relation between family SES and children's cortisol in more advantaged (higher opportunity) neighborhoods (b = -.023, p = .36). Lower family SES was prospectively associated with poorer physical health in spring (controlling for fall health) only among children living in lower opportunity neighborhoods (b = -.250, p = .018) and was unrelated to physical health among children residing in higher opportunity neighborhoods (b = .042, p = .70).

CONCLUSIONS

Higher opportunity neighborhoods may protect against the negative consequences of low family SES on children's stress physiology and physical health. Public health interventions that bolster neighborhood opportunities may benefit young children reared in socioeconomically disadvantaged family environments.

Multiscale measurement error models for aggregated small area health data

Spatial data are often aggregated from a finer (smaller) to a coarser (larger) geographical level. The process of data aggregation induces a scaling effect which smoothes the variation in the data. To address the scaling problem, multiscale models that link the convolution models at different scale levels via the shared random effect have been proposed. One of the main goals in aggregated health data is to investigate the relationship between predictors and an outcome at different geographical levels. In this paper, we extend multiscale models to examine whether a predictor effect at a finer level hold true at a coarser level. To adjust for predictor uncertainty due to aggregation, we applied measurement error models in the framework of multiscale approach. To assess the benefit of using multiscale measurement error models, we compare the performance of multiscale models with and without measurement error in both real and simulated data. We found that ignoring the measurement error in multiscale models underestimates the regression coefficient, while it overestimates the variance of the spatially structured random effect. On the other hand, accounting for the measurement error in multiscale models provides a better model fit and unbiased parameter estimates.

Multilevel analysis of the role of human factors in regional disparities in crash outcomes

A growing body of research has examined the disparities in road traffic safety among population groups and geographic regions. These studies reveal disparities in crash outcomes between people and regions with different socioeconomic characteristics. A critical aspect of the road traffic crash epidemic that has received limited attention is the influence of local characteristics on human elements that increase the risk of getting into a crash. This paper applies multilevel logistic regression modeling techniques to investigate the influence of driver residential factors on driver behaviors in an attempt to explain the area-based differences in the severity of road crashes across the State of Alabama. Specifically, the paper reports the effects of characteristics attributable to drivers and the geographic regions they reside on the likelihood of a crash resulting in serious injuries. Model estimation revealed that driver residence (postal code or region) accounted for about 7.3% of the variability in the probability of a driver getting into a serious injury crash, regardless of driver characteristics. The results also reveal disparities in serious injury crash rate as well as significant proportions of serious injury crashes involving no seatbelt usage, driving under influence (DUI), unemployed drivers, young drivers, distracted driving, and African American drivers among some regions. The average credit scores, average commute times, and populations of driver postal codes are shown to be significant predictors for risk of severe injury crashes. This approach to traffic crash analysis presented can serve as the foundation for evidence-based policies and also guide the implementation of targeted countermeasures.

Health and income inequalities in Europe: What is the role of circumstances?

Equality of opportunity theories distinguish between inequalities due to individual effort and those due to external circumstances. Recent research has shown that half of the variability in income of World population was determined by country of birth and income distribution. Since health and income are generally strictly related, the aim of this paper is to estimate how much variability in income and health is determined by external circumstances. We use data from the Survey of Health, Ageing and Retirement (SHARE) and the English Longitudinal Survey on Ageing (ELSA), two comparable multidisciplinary surveys that provide micro-level data on health and financial resources among the elderly for a large number of European countries. Our baseline estimation shows that about 20% of the variability in income is explained by current country-specific circumstances, while health outcomes range from 12% using BMI to 19% using self-rated health. By including early-life circumstances, the explained variability increases almost 20 percentage points for income and for self-rated health but less for other health outcomes. Finally, by controlling for endogeneity issues linked with effort, our estimates indicate that circumstances better explain variability in health outcomes. Results are robust to some tests, and the implications of these findings are discussed.

Living in violence: Neighborhood domestic violence and small for gestational age births

OBJECTIVES

To determine the association between neighborhood domestic violence and small-for-gestational-age (SGA) birth and to examine if there is a differential impact of neighborhood domestic violence on SGA births by race in a high crime community.

METHODS

This analysis includes all birth records issued in New Orleans, Louisiana from 2011 to 2012 geocoded by census tract (N=177 census tracts, N=8322 women). Hierarchical modeling and ecologic spatial analysis were used to examine the area-effect of neighborhood domestic violence on SGA births, independent of individual-level predictors and accounting for the propensity to live in high domestic violence neighborhoods.

RESULTS

Tests for spatial autocorrelation reveled area-level clustering and overlap of SGA and domestic violent rates. Pregnant women living in high domestic violence areas were more likely to give birth to an SGA infant compared to women in low-domestic violence areas (OR=1.04, 95%CI: 1.01, 1.08), net of the effects of individual-level factors and propensity scores.

CONCLUSION

Neighborhood-level attributes including rates of domestic violence may increase women's risk for SGA birth, highlighting a policy-relevant and potentially amenable exposure.

Neoliberalization's Propagation of Health Inequity in Urban Rebuilding Processes: The Dependence on Context and Path

This article will discuss how neoliberal processes during urban redevelopment sustain and increase health inequities through uneven wealth accumulation and development. It will use examples of urban development in Baltimore, Maryland, United States, to highlight how key neoliberal strategies of territorial development, economic development, and place promotion- mediated through the process of creative destruction-result in uneven development and wealth accumulation, which in turn result in health inequities. The history of rebuilding processes in Baltimore offers insight into the context and path-dependency of current neoliberalization rebuilding processes and current health inequities.

Community Poverty and Child Abuse Fatalities in the United States

BACKGROUND AND OBJECTIVE

Child maltreatment remains a problem in the United States, and individual poverty is a recognized risk factor for abuse. Children in impoverished communities are at risk for negative health outcomes, but the relationship of community poverty to child abuse fatalities is not known. Our objective was to evaluate the association between county poverty concentration and rates of fatal child abuse.

METHODS

This was a retrospective, cross-sectional analysis of child abuse fatalities in US children 0 to 4 years of age from 1999 to 2014 by using the Centers for Disease Control and Prevention Compressed Mortality Files. Population and poverty statistics were obtained from US Census data. National child abuse fatality rates were calculated for each category of community poverty concentration. Multivariate negative binomial regression modeling assessed the relationship between county poverty concentration and child abuse fatalities.

RESULTS

From 1999 to 2014, 11 149 children 0 to 4 years old died of child abuse; 45% (5053) were <1 year old, 56% (6283) were boys, and 58% (6480) were white. The overall rate of fatal child abuse was 3.5 per 100 000 children 0 to 4 years old. In the multivariate model, counties with the highest poverty concentration had >3 times the rate of child abuse fatalities compared with counties with the lowest poverty concentration (adjusted incidence rate ratio, 3.03; 95% confidence interval, 2.4-3.79).

CONCLUSIONS

Higher county poverty concentration is associated with increased rates of child abuse fatalities. This finding should inform public health officials in targeting high-risk areas for interventions and resources.

Spatial Accessibility to Health Care Services: Identifying under-Serviced Neighbourhoods in Canadian Urban Areas

BACKGROUND

Urban environments can influence many aspects of health and well-being and access to health care is one of them. Access to primary health care (PHC) in urban settings is a pressing research and policy issue in Canada. Most research on access to healthcare is focused on national and provincial levels in Canada; there is a need to advance current understanding to local scales such as neighbourhoods.

METHODS

This study examines spatial accessibility to family physicians using the Three-Step Floating Catchment Area (3SFCA) method to identify neighbourhoods with poor geographical access to PHC services and their spatial patterning across 14 Canadian urban settings. An index of spatial access to PHC services, representing an accessibility score (physicians-per-1000 population), was calculated for neighborhoods using a 3km road network distance. Information about primary health care providers (this definition does not include mobile services such as health buses or nurse practitioners or less distributed services such as emergency rooms) used in this research was gathered from publicly available and routinely updated sources (i.e. provincial colleges of physicians and surgeons). An integrated geocoding approach was used to establish PHC locations.

RESULTS

The results found that the three methods, Simple Ratio, Neighbourhood Simple Ratio, and 3SFCA that produce City level access scores are positively correlated with each other. Comparative analyses were performed both within and across urban settings to examine disparities in distributions of PHC services. It is found that neighbourhoods with poor accessibility scores in the main urban settings across Canada have further disadvantages in relation to population high health care needs.

CONCLUSIONS

The results of this study show substantial variations in geographical accessibility to PHC services both within and among urban areas. This research enhances our understanding of spatial accessibility to health care services at the neighbourhood level. In particular, the results show that the low access neighbourhoods tend to be clustered in the neighbourhoods at the urban periphery and immediately surrounding the downtown area.

Explaining racial and ethnic inequalities in postpartum allostatic load: Results from a multisite study of low to middle income woment

BACKGROUND

Racial and ethnic inequalities in women's health are widely documented, but not for the postpartum period, and few studies examine whether neighborhood, psychosocial, and biological factors explain these gaps in women's health.

METHODS

Using prospective longitudinal data collected from 1766 low to middle income women between 2008 and 2012 by the Community Child Health Network (CCHN), we tested the extent to which adjustment for neighborhood, economic, psychological, and medical conditions following a birth explained differences between African American, Latina, and White women in an indicator of physiological dysregulation allostatic load (AL), at one year postpartum as measured by 10 biomarkers: Body Mass Index, Waist Hip Ratio, systolic and diastolic blood pressure, high sensitivity C-reactive protein, Hemoglobin A1c, high-density lipoprotein and cholesterol ratio, and diurnal cortisol.

RESULTS

Mean postpartum AL scores were 4.65 for African American, 4.57 for Latina and 3.86 for White women. Unadjusted regression estimates for high AL for African American women (with White as the reference) were 0.80 (SD = 0.11) and 0.53 (SD = 0.15) for Latina women. Adjustment for household poverty, neighborhood, stress, and resilience variables resulted in a reduction of 36% of the excess risk in high AL for African Americans versus Whites and 42% of the excess risk for Latinas compared to Whites.

CONCLUSIONS

Racial and ethnic inequalities in AL were accounted for largely by household poverty with additional contributions by psychological, economic, neighbourhood and medical variables. There remained a significant inequality between African American, and Latina women as compared to Whites even after adjustment for this set of variables. Future research into health inequalities among women should include a fuller consideration of the social determinants of health including employment, housing and prepregnancy medical conditions.

Smoking and associated factors among adolescents in Tallinn, Helsinki and Moscow: a multilevel analysis

Aims: To investigate variations in smoking and associated factors on individual and aggregate level among adolescents in Tallinn (Estonia), Helsinki (Finland) and Moscow (the Russian Federation). Methods: The data was collected in Tallinn (N=1268 in Estonian and N=901 in Russian schools), in Helsinki (N=1396) and in Moscow (N=618) from pupils aged 13 - 18 by self-administered questionnaire. Multilevel analysis was used to estimate the possible effects of background characteristics, of the proximity of other smokers and the school context on the tobacco use of pupils. Results: The prevalence rate of smoking among girls in Russian schools in Tallinn (34.6%), among girls in Helsinki (39.5%), and in Moscow (32.1%) was higher than that among girls in Estonian schools in Tallinn (17.6%). Smoking was slightly less prevalent among boys in Helsinki (27.5%), compared to boys in Estonian (33.6%) and Russian (35.6%) schools in Tallinn, and to boys in Moscow (32.8%). Smoking increased with age. Multilevel analysis showed that smoking differed by school among pupils. Individual determinants of smoking as study site, grade, friends', siblings' and parental smoking behaved differently depending upon school. Friends and siblings' smoking showed interaction with study site to the smoking among girls. Conclusions: Strategies aimed at influencing smoking behaviour need to be directed not only towards the individual, but also towards the influences within the child's school environment.

Age Variation in the Relationship between Community Socioeconomic Status and Adult Health

Research demonstrating that socioeconomic status (SES) differentials in health are smaller at older ages often considers only individual SES measures (e.g., income, education) but not community SES measures (e.g., community poverty rate), although the gerontological literature suggests that community context may be particularly salient in the lives of older adults. This study uses two national surveys of adults, each matched with census data about respondents’ communities, to examine whether the association between community SES and individual health is stronger at consecutively older age groups. The association between community SES and health is nonexistent or weak during younger adulthood, stronger through middle ages, strongest at ages 60 to 69, and weak again at ages 70 and older. At ages 60 to 69, community SES effects are stronger than or comparable to individual SES effects. Community SES should be considered an important dimension of SES when exploring the impact of SES on health over the life course.

Explaining Race Differences in Health among Older Adults

Research demonstrates that race disparities in health often persist after controlling for individual socioeconomic status (SES). Yet little is known about the contribution of community socioeconomic context to race disparities in health among older adults. The authors hypothesized that Black older adults’ disadvantaged health status is partly explained by individual SES but further explained by their greater likelihood of living in more socioeconomically disadvantaged communities. The results of multilevel analyses demonstrate that living in such communities helps explain Black older adults’higher number of chronic conditions and worse self-rated health compared to non-Black older adults. Moreover, Black older adults may even have slightly better self-rated health than non-Black older adults once individual SES and community socioeconomic context are controlled. Understanding race and socioeconomic inequalities in health over the life course will require attention to the complex relationships between race, individual SES, and the socioeconomic and racial community contexts in which people interact and live their lives.

Male Incarceration Rates and Rates of Sexually Transmitted Infections: Results From a Longitudinal Analysis in a Southeastern US City

BACKGROUND

In the United States, rates of certain sexually transmitted infections (STIs) are increasing. Contextual factors seem to play an important role in shaping STI transmission dynamics. This longitudinal study explores the relationship between one contextual determinant of health (the male incarceration rate) and rates of newly diagnosed STIs in census tracts in Atlanta, GA.

METHODS

The sample consisted of all census tracts in Atlanta (n = 946). Annual data on STI diagnoses were drawn from the Georgia surveillance system for 2005 to 2010; annual male incarceration data were drawn from the Georgia Department of Corrections for 2005 to 2010; and data on potential confounders were drawn from the US Census. Multivariable growth models were used to examine the association between the male incarceration rate and rates of newly diagnosed STIs, controlling for covariates.

RESULTS

Census tracts with higher baseline male incarceration rates had a higher baseline rate of newly diagnosed STIs. Census tracts with increasing male incarceration rates experienced a more rapid increase in their rate of newly diagnosed STIs. Census tracts with medium and high baseline male incarceration rates experienced a decrease in their rate of newly diagnosed STIs over time.

CONCLUSIONS

The present study strengthens the evidence that male incarceration rates have negative consequences on sexual health outcomes, although the relationship may be more nuanced than originally thought. Future multilevel research should explore individual sexual risk behaviors and networks in the context of high male incarceration rates to better understand how male incarceration shapes rates of STIs.

Mental Health, Racial Discrimination, and Tobacco Use Differences Across Rural-Urban California

OBJECTIVE

Disparities in tobacco use persist despite successful policies reducing use within the United States. In particular, the prevalence of tobacco use in rural and certain minority communities is significantly higher compared to that of their counterparts. In this work, we examine the impact of rurality, mental health, and racial discrimination on tobacco use.

METHODS

Data come from the 2003 California Health Interview Survey (n = 42,044). Modified Poisson regression models were adjusted for age, sex, race/ethnicity, birth origin, education, income, insurance, and marital status.

RESULTS

Compared to urban residents, rural residents had a significantly higher risk for smoking after adjustment (RR = 1.10, 95% CI: 1.01-1.19). Those who reported having experienced racial discrimination also had a significantly greater risk for smoking compared to those who did not (RR = 1.17, 95% CI: 1.07-1.27). Additionally, those who reported higher stress had a significantly greater risk for smoking (RR = 1.61, 95% CI: 1.07-1.67). There was evidence of interaction between rurality and race/ethnicity, and rurality and gender (P < .05).

CONCLUSION

Residing in rural areas was associated with an increased risk for smoking, above and beyond sociodemographics. There were no significant differences across rural-urban environments for the relationship between stress and tobacco use-an indication that the impact of stress and discrimination is not buffered or exacerbated by environmental characteristics potentially found in either location. Mechanisms that explain rural-urban tobacco use disparities need to be explored, and smoking cessation programs and policies should be tailored to target these factors within rural communities.

Neighborhood deprivation and maternal psychological distress during pregnancy: a multilevel analysis

Maternal psychosocial distress is conceptualized as an important factor underlying the association between neighborhood deprivation and pregnancy outcomes. However, empirical studies to examine effects of neighborhood deprivation on psychosocial distress during pregnancy are scant. Based on a large multicenter cohort of pregnant women in Montreal, we examined (1) the extent to which psychosocial distress is clustered at the neighborhood-level, (2) the extent to which the clustering is explained by neighborhood material or social deprivation, and (3) whether associations between neighborhood deprivation and psychosocial distress persist after accounting for neighborhood composition (individual-level characteristics) using multilevel analyses. For 5,218 women residing in 740 neighborhoods, a prenatal interview at 24-26 gestational weeks measured both general and pregnancy-related psychological distress using well-validated scales: perceived stress, social support, depressive symptoms, optimism, commitment to the pregnancy, pregnancy-related anxiety, and maternal locus-of-control. Neighborhood deprivation indices were linked to study participants by their residential postal code. Neighborhood-level clustering (intraclass correlation) ranged from 1 to 2 % for perceived stress (lowest), optimism, pregnancy-related anxiety, and commitment to pregnancy to 4-6 % for perceived social support, depressive symptoms, and maternal locus of control (highest). Neighborhood material deprivation explained far more of the clustering (23-75 %) than did social deprivation (no more than 4 %). Although both material and social deprivation were associated with psychological distress in unadjusted analyses, the associations disappeared after accounting for individual-level socioeconomic characteristics. Our results highlight the importance of accounting for individual-level socioeconomic characteristics in studies of potential neighborhood effects on maternal mental health.