Income inequality and sexually transmitted in the United States: who bears the burden?

Association Between Area-Level Income Inequality and Health-Related School Absenteeism: Evidence From the COMPASS Study

BACKGROUND

Income inequality is theorized to impact health. However, evidence among adolescents is limited. This study examined the association between income inequality and health-related school absenteeism (HRSA) in adolescents.

METHODS

Participants were adolescents (n = 74,501) attending secondary schools (n = 136) that participated in the 2018-2019 wave of the COMPASS study. Chronic (missing ≥3 days of school in the previous 4 weeks) and problematic (missing ≥11 days of school in the previous 4 weeks) HRSA was self-reported. Income inequality was assessed via the Gini coefficient at the census division (CD) level. Multilevel modeling was used.

RESULTS

Greater income inequality was associated with a higher likelihood of chronic and problematic HRSA (chronic: OR = 1.17, 95% CI: 1.06, 1.30; problematic: OR = 1.29, 95% CI 1.11 to 1.50). Increased predicted probabilities for Problematic HRSA were observed at greater degrees of income inequality among students who identified as either white, black, Latinx, or mixed, while protective associations were observed among students who identified as Asian or other. No associations were modified by gender.

CONCLUSION

Income inequality demonstrated unfavorable associations with HRSA, which was modified by racial identity.

Diverging Neisseria gonorrhoeae Morbidity in Non-Hispanic Black and White Females: Application of Group-Based Trajectory Modeling to Trends in County-Level Morbidity 2003-2018

National trends in gonorrhea rates may obscure informative local variations in morbidity. We used group-based trajectory models to identify groups of counties with similar gonorrhea rate trajectories among non-Hispanic White (NHW) and non-Hispanic Black (NHB) females using county-level data on gonorrhea cases in US females from 2003 to 2018. We assessed models with 1-15 groups and selected final models based on fit statistics and identification of divergent trajectory groups with distinct intercepts and/or slopes. We mapped counties by assigned trajectory group and examined the association of county characteristics with group membership. We identified 7 distinct gonorrhea trajectory groups for NHW females and 9 distinct trajectory groups for NHB females. All identified groups for NHW female morbidity experienced increasing gonorrhea rates with a limited range (11.6-183.3/100,000 NHW females in 2018); trajectories of NHB female morbidity varied widely in rates (146.6-966.0/1000 NHB females in 2018) and included 3 groups of counties that experienced a net decline in gonorrhea rates. Counties with higher NHW female morbidity had lower adult sex ratios, lower health insurance coverage, and lower marital rates among NHW adults. Counties with higher NHB female morbidity were more urban, experienced higher rates of poverty, and had lower rates of marriage among NHB adults. Morbidity patterns did not always follow geographic proximity, which could be explained by variation in social determinants of health. Our results demonstrated a highly heterogenous gonorrhea epidemic among NHW and NHB US females, which should prompt further analysis into the differential drivers of gonorrhea morbidity.

Evidence for the Role of State-Level Economic Policy in HIV Risk Reduction: State Earned Income Tax Credit Generosity and HIV Risk Behavior Among Single Mothers

We investigated the impact of State-level Earned Income Tax Credit (SEITC) generosity on HIV risk behavior among single mothers with low education. We merged individual-level data from the Behavioral Risk Factor Surveillance System (2002-2018) with state-level data from the University of Kentucky Center for Poverty Research and conducted a multi-state, multi-year difference-in-differences (DID) analysis. We found that a refundable SEITC ≥ 10% of the Federal Earned Income Tax Credit was associated with 21% relative risk reduction in reporting any high-risk behavior for HIV in the last year, relative to no SEITC. We also found that a 10-percentage point increase in SEITC generosity was associated with 38% relative risk reduction in reporting any high-risk HIV behavior in the last year. SEITC policy may be an important strategy to reduce the burden of HIV infections among women with low socioeconomic status, particularly single mothers.

Socially Connected Neighborhoods and the Spread of Sexually Transmitted Infections

Sexually transmitted infections (STIs) in the United States have been increasing at record levels and exhibit unequal spatial patterning across urban populations and neighborhoods. Research on the effects of residential and nearby neighborhoods on STI proliferation has largely ignored the role of socially connected contexts, even though neighborhoods are routinely linked by individuals' movements across space for work and other social activities. We showcase how commuting and public transit networks contribute to the social spillover of STIs in Chicago. Examining data on all employee-employer location links recorded yearly by the Census Bureau for more than a decade, we assess network spillover effects of local community STI rates on interconnected communities. Spatial and network autoregressive models show that exposure to STIs in geographically proximate and socially proximate communities contributes to increases in local STI levels, even net of socioeconomic and demographic factors and prior STIs. These findings suggest that geographically proximate and socially connected communities influence one another's infection rates through social spillover effects.

Income Inequality and Bullying Victimization and Perpetration: Evidence From Adolescents in the COMPASS Study

Previous research indicates that the disproportionate distribution of income within society is associated with aggression and violence. Although research has been conducted identifying the relationship between income inequality and bullying victimization and perpetration, little is known about possible mediators. We investigated the association between income inequality and bullying perpetration and victimization among adolescents participating in the Cannabis, Obesity, Mental health, Physical activity, Alcohol use, Smoking, and Sedentary behavior (COMPASS) study. We identified whether school connectedness and psychosocial well-being mediated the relationship between income inequality and bullying behavior. This study used pooled cross-sectional data from 147,748 adolescents aged 13 to 18 from three waves (2015–2016, 2016–2017, 2017–2018) of the COMPASS study from 157 secondary schools in British Columbia, Alberta, Ontario, and Quebec (Canada). The Gini coefficient was calculated based on the school Census Divisions (CD) using the Canada 2016 Census and linked with student data. We used multilevel modeling to investigate the relationship between income inequality and self-reported bullying victimization and perpetration, while controlling for individual-, school-, and CD-level characteristics. A standard deviation increase in Gini coefficient was associated with increased odds for bullying victimization and perpetration. Findings were observed among girls; however, inequality was only associated with perpetration among boys. We identified social cohesion and psychosocial well-being as potential mediators. To counter the adverse effects of income inequality, school-based interventions designed to increase school connectedness and student psychosocial well-being should be implemented to protect against bullying.

Indigenous Peoples, concentrated disadvantage, and income inequality in New Mexico: a ZIP code-level investigation of spatially varying associations between socioeconomic disadvantages and confirmed COVID-19 cases

BACKGROUND

The coronavirus disease pandemic has disproportionately affected poor and racial/ethnic minority individuals and communities, especially Indigenous Peoples. The object of this study is to understand the spatially varying associations between socioeconomic disadvantages and the number of confirmed COVID-19 cases in New Mexico at the ZIP code level.

METHODS

We constructed ZIP code-level data (n=372) using the 2014-2018 American Community Survey and COVID-19 data from the New Mexico Department of Health (as of 24 May 2020). The log-linear Poisson and geographically weighted Poisson regression are applied to model the number of confirmed COVID-19 cases (total population as the offset) in a ZIP code.

RESULTS

The number of confirmed COVID-19 cases in a ZIP code is positively associated with socioeconomic disadvantages-specifically, the high levels of concentrated disadvantage and income inequality. It is also positively associated with the percentage of American Indian and Alaskan Native populations, net of other potential confounders at the ZIP code level. Importantly, these associations are spatially varying in that some ZIP codes suffer more from concentrated disadvantage than others.

CONCLUSIONS

Additional attention for COVID-19 mitigation effort should focus on areas with higher levels of concentrated disadvantage, income inequality, and higher percentage of American Indian and Alaska Native populations as these areas have higher incidence of COVID-19. The findings also highlight the importance of plumbing in all households for access to clean and safe water, and the dissemination of educational materials aimed at COVID-19 prevention in non-English language including Indigenous languages.

Neighborhood Income Inequality and Alcohol Use among Adolescents in Boston, Massachusetts

OBJECTIVES

Previous research has indicated that area-level income inequality is associated with increased risk in alcohol consumption. However, few studies have been conducted among adolescents living within smaller area units, such as neighborhoods. We investigated whether neighborhood income inequality is associated with alcohol consumption among adolescents.

METHODS

We analyzed cross-sectional data from a sample of 1878 adolescents living in 38 neighborhoods participating in the 2008 Boston Youth Survey. Multilevel logistic regression modeling was used to determine the role of neighborhood income inequality and the odds for alcohol consumption and to determine if social cohesion and depressive symptoms were mediators.

RESULTS

In comparison to the first tertile of income inequality, or the most equal neighborhood, adolescent participants living in the second tertile (AOR = 1.20, 95% CI: 0.89, 1.61) and third tertile (AOR = 1.44, 95% CI: 1.06, 1.96) were more likely to have consumed alcohol in the last 30 days. Social cohesion and depressive symptoms were not observed to mediate this relationship.

CONCLUSIONS

Findings indicate that the distribution of incomes within urban areas may be related to alcohol consumption among adolescents. To prevent alcohol consumption, public health practitioners should prioritize prevention efforts for adolescents living in neighborhoods with large gaps between rich and poor.

Adolescents' relative position in school and educational attainment: The mediating role of educational expectations

This study examines whether and how adolescents' relative deprivation in school is associated with their years of education by incorporating the social comparison perspective into the Wisconsin status attainment model. Using Waves 1, 2, and 4 of the National Longitudinal Study of Adolescent to Adult Health (Add Health), this study finds that adolescents who are positioned at the bottom of the economic hierarchy in school are likely to have up to one less year of education, compared to their counterparts positioned at the top of the hierarchy, when holding other variables constant. Also, by using causal mediation analyses, I find that educational expectations account for more than 20% of the relationship between adolescents' relative deprivation and educational attainment. The sensitivity analyses are conducted to examine how robust the main findings are to the violation of the assumption used in this study. These results provide evidence showing that adolescents' educational outcomes do not only depend on their material resources but also on their relative standing in the economic hierarchy.

Sexual Risk Behaviors Associated with Sexually Transmitted Infections in a US Military Population Living with HIV After the Repeal of "Don't Ask, Don't Tell"

Risk behaviors associated with sexually transmitted infections (STIs) among people living with HIV (PLWH) have not been well characterized in the US military. We identified risk behaviors associated with a new STI in this population after the repeal of "Don't Ask, Don't Tell." US Military HIV Natural History Study participants who completed the risk behavior questionnaire (RBQ) between 2014 and 2017 and had at least 1 year of follow-up were included (n = 1589). Logistic regression identified behaviors associated with incident STI in the year following RBQ completion. Overall, 18.9% acquired an STI and 52.7% reported condom use at last sexual encounter. Compared with those with no new sex partners, participants with between one and four or five or more new partners were 1.71 [1.25-2.35] and 6.12 [3.47-10.79] times more likely to get an STI, respectively. Individuals reporting low or medium/high perceived risk of STI were 1.83 [1.23-2.72] and 2.65 [1.70-4.15] times more likely to acquire a new STI than those reporting no perceived risk, respectively. Participants who preferred not to answer about sexual preference, number of new partners, or perceived STI risk were also more likely to acquire a new STI. Our study illustrates that despite regular access to health care and accurate perceptions of risk, rates of STI among PLWH remain high in the US military setting, as in others. Given the potential individual and public health consequences of STI coinfection after HIV, more work is needed to assess interventions aimed at sexual behavior change for PLWH.

The role of socio-demographic determinants in the geo-spatial distribution of newly diagnosed HIV infections in small areas of Catalonia (Spain)

BACKGROUND

Spatial visualization of HIV surveillance data could improve the planning of programs to address the HIV epidemic. The objectives of the study were to describe the characteristics and the spatial distribution of newly diagnosed HIV infection in Catalonia and to identify factors associated with HIV infection rates.

METHODS

Surveillance data from the national registry were presented in the form of descriptive and ring maps and used to study the spatial distribution of new HIV diagnoses in Catalonia (2012-2016) and associated risk factors at the small area level (ABS, acronym for "basic health area" in Catalan). Incident cases were modeled using the following as predictors: type of municipality, prevalence of young men and migrant groups, GBMSM activity indicators, and other variables at the aggregated level.

RESULTS

New HIV diagnoses are heterogeneously distributed across Catalonia. The predictors that proved to be significantly associated with a higher rate of new HIV diagnoses were ABS located in the city of Barcelona (IRR, 2.520; P < 0.001), a higher proportion of men aged 15-44 years (IRR, 1.193; P = 0.003), a higher proportion of GBMSM (IRR, 1.230; P = 0.030), a higher proportion of men from Western Europe (IRR, 1.281; P = 0.003), a higher proportion of men from Latin America (IRR, 1.260; P = 0.003), and a higher number of gay locations (IRR, 2.665; P < 0.001). No association was observed between the HIV diagnosis rate and economic deprivation.

CONCLUSIONS

Ring maps revealed substantial spatial associations for the rate of new HIV diagnoses. New HIV diagnoses are concentrated in ABS located in urban areas. Our results show that, in the case of HIV infection, the socioeconomic deprivation index on which the Catalan government bases its budget allocation policies among the ABS should not be the only criterion used.

Relative deprivation, social exclusion, and quality of life among Chinese internal migrants

OBJECTIVES

Factors contributing to diminishing quality of life (QOL) of migrants have been examined, but little is known about the impact of relative deprivation. This study aimed to clarify the effects of relative deprivation on QOL and mediating effects of social exclusion among Chinese internal migrants.

STUDY DESIGN

This is a secondary data analysis of a nationally representative survey.

METHODS

We obtained data from 14,816 internal immigrants, aged 15-59 years, throughout China using the 2014 China Migrants Dynamic Survey (CMDS). We measured relative deprivation via a modified Yitzhaki Index, social exclusion using a four-point Likert scale, and QOL using the Kessler Psychological Distress Short Scale, the Satisfaction with Life Scale, and a subscale of the 36-item Short-Form Health Survey. Survey data of 15,996 local residents were also retrieved and analyzed to make possible comparisons between the local and migrant population. Furthermore, we used descriptive and statistical analyses with data from the CMDS to identify relative deprivation and social exclusion.

RESULTS

The results show relative deprivation both directly and indirectly influences Chinese internal migrants' QOL. Specifically, compared with the local population, relative deprivation triggers serious social exclusion (β = 0.008, P < 0.001), ultimately deteriorating QOL. Social exclusion partially mediated the total effects of relative deprivation on mental illness (β = 0.004, P < 0.001), self-rated health (β = -0.285, P < 0.001), and life satisfaction (β = -0.020, P < 0.001) among Chinese internal migrants.

CONCLUSION

Relative deprivation significantly impacts QOL by exacerbating mental illness, eroding self-rated health, and inhibiting life satisfaction. Relative deprivation is significantly directly associated with various indicators of QOL and indirectly affects QOL through social exclusion. In addition, our results demonstrate that the relative deprivation theoretical approach and the modified Yitzhaki Index are worthy of future investigation in studies of migrants' health.

Sexually Transmitted Infections Prevalence in the United States and the Relationship to Social Determinants of Health

Rates of sexually transmitted infections (STI) are on the rise in the United States. Some STIs are at an all-time high. Research has shown that there is a higher prevalence of STIs among some racial and ethnic groups as compared with whites. Factors contributing to this endemic have been explored. Although some individual-level risk factors have previously been identified, data overwhelmingly suggest that social determinants of health are key factors in the overall increase in STIs. Additionally, these social factors have contributed to disparities in STI acquisition. Population-specific interventions targeting social factors are necessary in reducing the rates of STIs.

State- and county-level income inequality and infant mortality in the USA in 2010: a cohort study

OBJECTIVES

We examined the relationship between income inequality and the risk for infant/neonatal mortality at the state and county level and tested possible mediators of this relationship.

METHODS

We first linked state and county Gini coefficients to US Vital Statistics 2010 Cohort Linked Birth and Infant Death records (n = 3,954,325). We then fit multilevel models to test whether income inequality was associated with infant/neonatal mortality. County-level factors were tested as potential mediators.

RESULTS

Adjusted analyses indicated that income inequality at the county level-but not at the state level-was associated with increased odds of infant mortality (OR 1.14, 95% CI 1.10, 1.18) and neonatal death (OR 1.17, 95% CI 1.12, 1.23). Our mediators explained most of this variation. Bivariate analyses revealed associations between 3 county-level measures-patient-to-physician ratio, the violent crime rate, and sexually transmitted infection rate-and infant and neonatal mortality. Proportion of college-educated adults was associated with decreased odds for neonatal mortality.

CONCLUSIONS

Local variations in access to care, the rate of sexually transmitted disease, and crime are associated with infant mortality, while variations in college education in addition to these mediators explain neonatal mortality. To reduce infant and neonatal mortality, experiments are needed to examine the effectiveness of policies targeted at reducing income inequality and improving healthcare access, policing, and educational opportunities.

Differential relationship between state-level minimum wage and infant mortality risk among US infants born to white and black mothers

BACKGROUND

Compared to other Organisation for Economic Co-operation and Development (OECD) nations, US infant mortality rates (IMRs) are particularly high. These differences are partially driven by racial disparities, with non-Hispanic black having IMRs that are twice those of non-Hispanic white. Income inequality (the gap between rich and poor) is associated with infant mortality. One proposed way to decrease income inequality (and possibly to improve birth outcomes) is to increase the minimum wage. We aimed to elucidate the relationship between state-level minimum wage and infant mortality risk using individual-level and state-level data. We also determined whether observed associations were heterogeneous across racial groups.

METHODS

Data were from US Vital Statistics 2010 Cohort Linked Birth and Infant Death records and the 2010 US Bureau of Labor Statistics. We fit multilevel logistic models to test whether state minimum wage was associated with infant mortality. Minimum wage was standardised using the z-transformation and was dichotomised (high vs low) at the 75th percentile. Analyses were stratified by mother's race (non-Hispanic black vs non-Hispanic white).

RESULTS

High minimum wage (adjusted OR (AOR)=0.93, 95% CI 0.83 to 1.03) was associated with decreased odds of infant mortality but was not statistically significant. High minimum wage was significantly associated with reduced infant mortality among non-Hispanic black infants (AOR=0.80, 95% CI 0.68 to 0.94) but not among non-Hispanic white infants (AOR=1.04, 95% CI 0.92 to 1.17).

CONCLUSIONS

Increasing the minimum wage might be beneficial to infant health, especially among non-Hispanic black infants, and thus might decrease the racial disparity in infant mortality.

Examining neighborhood poverty-based disparities in HIV/STI prevalence: an analysis of Add Health data

PURPOSE

The purpose of the study was to estimate the effect of exposure to neighborhood poverty in adolescence on HIV/STI prevalence in early adulthood.

METHODS

Longitudinal data from three waves of the National Longitudinal Study of Adolescent to Adult Health were analyzed. The primary exposure was living in a high- versus medium/low-poverty neighborhood during wave I. The outcome was having a sexually transmitted infection (STI) or receiving a HIV/STI diagnosis in the past 12 months at wave III. Covariates included sociodemographic, behavioral, and mental health-related factors. Inverse probability weighted marginal structural models were used to estimate neighborhood poverty-based differences in HIV/STI prevalence.

RESULTS

The analytic sample comprised 8232 National Longitudinal Study of Adolescent to Adult Health participants. Of these, 16% and 84% resided in high- and medium/low-poverty neighborhoods, respectively. Eleven percent currently had an STI or HIV/STI diagnosis within the prior 12 months. Accounting for measured potential sources of confounding and selection bias, the HIV/STI prevalence difference (95% confidence limits) for those who grew up in high- versus medium/low-poverty neighborhoods was 0.015 (-0.015, 0.045).

CONCLUSIONS

Strong evidence for neighborhood poverty-based differences in HIV/STI prevalence was not observed. Researchers should continue to investigate the effect of neighborhood-level socioeconomic position measures and, if warranted, identify etiologically relevant exposure periods.

State minimum wage laws and newly diagnosed cases of HIV among heterosexual black residents of US metropolitan areas

This ecologic cohort study explores the relationship between state minimum wage laws and rates of HIV diagnoses among heterosexual black residents of U.S metropolitan areas over an 8-year span. Specifically, we applied hierarchical linear modeling to investigate whether state-level variations in minimum wage laws, adjusted for cost-of-living and inflation, were associated with rates of new HIV diagnoses among heterosexual black residents of metropolitan statistical areas (MSAs; n=73), between 2008 and 2015. Findings suggest that an inverse relationship exists between baseline state minimum wages and initial rates of newly diagnosed HIV cases among heterosexual black individuals, after adjusting for potential confounders. MSAs with a minimum wage that was $1 higher at baseline had a 27.12% lower rate of newly diagnosed HIV cases. Exploratory analyses suggest that income inequality may mediate this relationship. If subsequent research establishes a causal relationship between minimum wage and this outcome, efforts to increase minimum wages should be incorporated into HIV prevention strategies for this vulnerable population.

Opposite associations of household income with adolescent body mass index according to migrant status: Hong Kong's "Children of 1997" birth cohort

BACKGROUND/OBJECTIVES

In economically developed settings, household income is usually inversely associated with child and adolescent adiposity, but this association may not extend to migrants. Hong Kong is a unique developed setting to study how household income and adolescent adiposity vary by migrant status given many Hong Kong-born Chinese children were born to parents who migrated from neighboring provinces of Mainland China.

SUBJECTS/METHODS

We examined differences between the associations of absolute household income vs. relative household income on adolescent body mass index (BMI) z-score or overweight (including obesity) status using a linear or logistic model in a Chinese birth cohort (n = 5613, 68% follow-up). We focused on whether the associations differed by mother's or father's migrant status (birthplace).

RESULTS

No association was found between absolute household income and BMI z-score among adolescents with either native or migrant mothers. However, the association of relative household income with BMI z-score varied by mother's migrant status (P-values for interaction <0.0005). In adolescents of native born mothers, greater relative household income deprivation was associated with higher BMI z-score (0.03 z-score per USD 128 difference in Yitzhaki index, 95% confidence interval (CI) 0.01 to 0.05). However, in adolescents of migrant mothers, greater relative household income deprivation was associated with lower BMI z-score (-0.05, 95% CI -0.09 to -0.01). Similar association of relative household income with overweight (including obesity) status was found in adolescents of native born mothers but not in adolescents of migrant mothers.

CONCLUSIONS

Relative income (mediated by social comparisons with others in society) appears to be relevant to adolescent adiposity, but the association depends on the interplay between individual characteristics (migrant background) and societal context.

The Black-White Disparity in Sexually Transmitted Diseases During Pregnancy: How Do Racial Segregation and Income Inequality Matter?

BACKGROUND

We investigate the roles of residential racial segregation and income inequality for the black-white disparity in acquiring sexually transmitted diseases (STD) during pregnancy in a multilevel framework.

METHODS

The analytic sample consisted of non-Hispanic white (n = 79,271) and non-Hispanic black (n = 17,669) mothers from 2012 population birth data from Pennsylvania. We used the 2009 to 2013 American Community Survey for neighborhood characteristics of mothers; we used multilevel models.

RESULTS

First, neighborhood-level factors are important for understanding this disparity because racial segregation and income inequality are significantly associated with acquiring STD during pregnancy, regardless of race. Second, racial segregation moderates the relationships between race/ethnicity and the acquisition of STD during pregnancy. White mothers are more vulnerable to neighborhood segregation than black mothers, and black mothers are less likely to acquire STD during pregnancy than white mothers if they reside with co-ethnics. Third, mothers residing in the most socioeconomically disadvantaged neighborhoods-as indicated by both absolute and relative measures of income inequality-have the highest odds of acquiring STD during pregnancy, regardless of race.

CONCLUSIONS

Neighborhood-level segregation and income inequality are important for understanding the acquisition of STDs during pregnancy. Our findings have important implications for future research and for place-specific prevention and intervention to reduce the racial disparity in STD during pregnancy.

Prevalence and risk factors of sexually transmitted infections among French service members

INTRODUCTION

Sexually Transmitted Infections (STIs) have always represented a public health concern in the military, yet most studies rely on self-reports among non-random samples of military populations. In addition, most of the studies exploring STI rates among the military focus on US service members. This paper assesses the prevalence and correlates of STIs in the French military using biomarkers and compares self-reported versus diagnosed STIs.

METHODS

Data are drawn from the COSEMIL study, a national sexual health survey conducted in the French military in 2014 and 2015. A random sample of 784 men and 141 women aged 18-57 years completed a self-administered questionnaire and provided biological samples for STI testing. We used logistic regression modeling to identify the correlates of STI diagnosis and self-reports.

RESULTS

The prevalence of diagnosed STIs was 4.7% [3.8-5.9], mostly due to Chlamydia trachomatis. This rate was four times higher than the 12 months self-reported rate of 1.1% [0.6-2.3]. Reported STI rates were similar among men and women (1.1% versus 1.8%), but diagnosed STI rates were twice as high among females versus males (10.4% versus 4.1%, p = 0.007). There were significant differences in the determinants of reported versus diagnosed STIs. In particular, age and sexual orientation were associated with reported STIs, but not with diagnosed STIs. Conversely, STI counseling and depression were associated with STI diagnosis but not with STI reports.

CONCLUSION

This study underlines the need to use biomarkers in population-based surveys, given the differential and substantial underreporting of STIs. Results also highlight the need for programmatic adaptation to address gender inequalities in STI rates, by developing women's health services in the French military. Addressing such needs not only benefits women but could also serve as a strategy to reduce overall STI rates as most military women have military partners, increasing the risk of internal transmission.

Perceived Housing Discrimination and Self-Reported Health: How Do Neighborhood Features Matter?

BACKGROUND

While the association between perceived discrimination and health has been investigated, little is known about whether and how neighborhood characteristics moderate this association.

PURPOSE

We situate discrimination in the housing context and use relative deprivation and social capital perspectives to fill the knowledge gap.

METHODS

We applied multilevel logistic modeling to 9,842 adults in 830 neighborhoods in Philadelphia to examine three hypotheses.

RESULTS

First, the detrimental effect of discrimination on self-reported health was underestimated without considering neighborhood features as moderators. The estimated coefficient (β) increased from approximately 0.02 to 1.84 or higher. Second, the negative association between discrimination and self-reported health was enhanced when individuals with discrimination experience lived in neighborhoods with higher housing values (β = 0.42). Third, the adverse association of discrimination with self-reported health was attenuated when people reporting discrimination resided in neighborhoods marked by higher income inequality (β = -4.34) and higher concentrations of single-parent households with children (β = -0.03) and minorities (β = -0.01).

CONCLUSIONS

We not only confirmed the moderating roles of neighborhood characteristics, but also suggested that the relative deprivation and social capital perspectives could be used to understand how perceived housing discrimination affects self-reported health via neighborhood factors.

Relative deprivation: Measurement issues and predictive role for body image dissatisfaction

The study of how relative standing in the socioeconomic hierarchy affects health outcomes faces a number of challenges. Two critical issues are the choice of the indicator quantifying relative standard of living and the collinearity which typically arises when absolute standard of living is controlled for. We address these issues by taking into examination linear and concave measures of relative deprivation and by showing that collinearity can be lessened through manipulations of the measures' formulae. Importantly, we argue that the two issues are intertwined and should be jointly considered by researchers. We illustrate the points above using nationally representative data from Mexico (N = 44,214) and studying relative deprivation as a predictor of body image dissatisfaction - a growing public health concern whose effects go well beyond eating disorders. Controlling for several individual characteristics, binary and multinomial logit regressions indicate relative deprivation as a risk factor for body image dissatisfaction. By conducting subsample analyses and by introducing an interaction term between gender and relative deprivation, we show evidence of a gender-based heterogeneity in the role of relative deprivation - which predicts feeling smaller than desired for both females and males and feeling larger than desired for females but not for males. This heterogeneity is discussed in the light of the different social pressures females and males face for slenderness and muscularity. Our evidence enriches the literature on socioeconomic gradients in health, pointing to an additional domain in which a low position in the socioeconomic ladder translates into greater likelihood of developing health problems and adopting health-compromising behaviors.

Residential segregation and racial disparities in self-rated health: How do dimensions of residential segregation matter?

Previous research on segregation and health has been criticized for overlooking the fact that segregation is a multi-dimensional concept (i.e., evenness, exposure, concentration, centralization, and clustering) and recent evidence drawn from non-black minorities challenges the conventional belief that residential segregation widens racial health disparities. Combining a survey data (n = 18,752) from Philadelphia with the 2010 Census tract (n = 925) data, we examine two theoretical frameworks to understand why the association of segregation with health may differ by race/ethnicity. Specifically, we investigate how each dimension of segregation contributed to racial disparities in self-rated health. We found (1) high levels of white/black concentration could exacerbate the white/black health disparities up to 25 percent, (2) the white/Hispanic health disparities was narrowed by increasing the level of white/Hispanic centralization, and (3) no single dimension of segregation statistically outperforms others. Our findings supported that segregation is bad for blacks but may be beneficial for Hispanics.

Gender relations, sexual behaviour, and risk of contracting sexually transmitted infections among women in union in Uganda

BACKGROUND

Sexually transmitted infections (STIs) are a major reproductive and public health concern, especially in the era of HIV/AIDS. This study examined the relationship between sexual empowerment and STI status of women in union (married or cohabiting) in Uganda, controlling for sexual behaviour, partner factors, and women's background characteristics.

METHODS

The study, based on data from the 2011 Uganda Demographic and Health Survey (UDHS), analysed 1307 weighted cases of women age 15-49 in union and selected for the domestic violence module. Chi-squared tests and multivariate logistic regressions were used to examine the predicators of STI status. The main explanatory variables included sexual empowerment, involvement in decision making on own health, experience of any sexual violence, condom use during last sex with most recent partner, number of lifetime partners and partner control behaviours. Sexual empowerment was measured with three indicators: a woman's reported ability to refuse sex, ability to ask her partner to use a condom, and opinion regarding whether a woman is justified to refuse sex with her husband if he is unfaithful.

RESULTS

Results show that 28 % of women in union reported STIs in the last 12 months. Sexual violence and number of lifetime partners were the strongest predictors of reporting STIs. Women's sexual empowerment was a significant predictor of their STI status, but, surprisingly, the odds of reporting STIs were greater among women who were sexually empowered. Reporting of STIs was negatively associated with a woman's participation in decision-making with respect to her own health, and was positively associated with experience of sexual violence, partner's controlling behaviour, and having more than one life partner.

CONCLUSIONS

Our findings suggest that, with respect to STIs, sexual empowerment as measured in the study does not protect women who have sexually violent and controlling partners. Interventions promoting sexual health must effectively address negative masculine attitudes and roles that perpetuate unhealthy sexual behaviours and gender relations within marriage. It is also important to promote marital fidelity and better communication within union and to encourage women to take charge of their health jointly with their partners.

Socioeconomic disparities in preterm birth and birth weight in a non-Western developed setting: evidence from Hong Kong's 'Children of 1997' birth cohort

BACKGROUND

Preterm birth (PTB), low birth weight and small-for-gestational age (SGA) are associated with lower socioeconomic position (SEP) in developed Western settings, but it is unclear if such disparities persist to the same extent elsewhere, and whether associations differ by measure of SEP used. Here, we assessed the association of SEP with PTB, birth weight and SGA in the recently developed non-Western setting of Hong Kong where few women smoke or use alcohol.

METHODS

We used multivariable logistic and linear regression to assess the associations of parental and neighbourhood SEP with PTB, birth weight and SGA among 8173 singleton births from the Hong Kong population-representative 'Children of 1997' birth cohort.

RESULTS

The only measure of SEP associated with PTB was type of housing adjusted for maternal age (p for trend 0.046). Highest paternal education had a small positive association with birth weight adjusted for gestational age (21 g, 95% CI 0.2 to 43 g for ≥grade 12 compared with ≤grade 9), as did residing in private compared with public housing (21 g, 95% CI 3 to 39 g). However, these associations did not persist after adjusting for mother's age. Lower neighbourhood Gini coefficient adjusted for mother's age was associated with a lower risk of SGA (OR 0.78, 95% CI 0.63 to 0.98). None of these associations remained after adjusting for multiple comparisons.

CONCLUSIONS

PTB, birth weight and SGA may be less clearly socially patterned in Hong Kong than other developed settings, highlighting the need for setting-specific interventions to prevent adverse birth outcomes.

Household income and adolescent blood pressure in a Chinese birth cohort: "Children of 1997"

The inconsistent relation of national income with population blood pressure raises questions as to whether social comparisons of relative income at individual or neighbourhood level may be more relevant than absolute income. We examined the associations of absolute household income (income per se), absolute neighbourhood median income (average income among geographically-proximate households), relative household income [deprivation using Yitzhaki index, or rank by position] (differences in income or rank compared with others) and relative neighbourhood income inequality [Gini coefficient] (income gap within a neighbourhood) with blood pressure z-score, prehypertension or hypertension at ∼13 years using a fixed effects multilevel linear or logistic model in a Chinese birth cohort (n = 5063, 61% of follow-up). Absolute household or neighbourhood income was not associated with adolescent blood pressure. Greater relative household income deprivation was associated with higher diastolic blood pressure (0.01 z-score per USD 128 difference in Yitzhaki index, 95% confidence interval (CI) 0.005 to 0.02), so was lower relative household income rank (-0.10, 95% CI -0.15 to -0.04), but relative neighbourhood income inequality was not, when considering each income measure separately. Such associations remained when considering all income measures together. Income measures were not associated with prehypertension or hypertension. Relative household income (greater deprivation or lower rank) were positively associated with adolescent blood pressure independent of absolute household income while absolute or relative neighbourhood income had little contribution, suggesting social comparisons at a key developmental stage could be relevant. Clarifying specific effects of socioeconomic position across the life-course could inform interventions.

Systemic inflammation in the extremely low gestational age newborn following maternal genitourinary infections

PROBLEM

Gestational genitourinary infections are associated with lifelong disabilities, but it is unknown if neonatal inflammation is involved.

METHOD

Mothers of 914 infants born before 28th gestation week reported cervical/vaginal infection (CVI), and/or urine/bladder/kidney infection (UTI), or neither. Inflammation proteins measured in baby's blood on postnatal days 1, 7, and 14 were considered elevated if in the top quartile for gestational age. Logistic regression models adjusting for potential confounders assessed odds ratios.

RESULTS

Compared to mothers with neither UTI/CVI, those with CVI were more likely to have infants with elevated CRP, SAA, MPO, IL-1β, IL-6, IL-6R, TNF-α, RANTES, ICAM-3, E-selectin, and VEGF-R2 on day 1; those with UTI were more likely to have infants with elevated MPO, IL-6R, TNF-R1, TNF-R2, and RANTES on day 7. Placental anaerobes and genital mycoplasma were more common in pregnancies with CVI.

CONCLUSION

Gestational UTI/CVI should be targeted for preventing systemic inflammation in the very preterm newborn.

Income inequality and Neisseria gonorrhoeae notifications in females: a country-level analysis

Background Patterns of population susceptibility to sexually transmissible infections may be influenced by various social determinants of health, however these receive relatively little attention. Income inequality is one such determinant that has been linked to a number of poor health outcomes. The objective of this analysis was to determine whether there is an association between income inequality and Neisseria gonorrhoeae notification rates when measured at the country level. Methods: Gini coefficients, gonorrhoea notification rates among women, per capita gross domestic product and approximate size of female population were obtained for 11 countries of the OECD. Linear regression was used to measure the association between income inequality and gonorrhoea notification rates, using generalised estimation equations (GEE) to control for the non-independence of repeat measures from particular countries. Results: A total of 36 observations from 11 countries were included. Gini coefficients ranged from 0.21 to 0.38 and gonorrhoea notifications from 0.7 to 153 per 100000 females. Significant associations were found between country-level income inequality and gonorrhoea notification rates among women (b = 17.79 (95% CI: 10.64, 24.94, P < 0.01). Conclusions: Significant associations were found, highlighting the importance of acknowledging and accounting for social determinants of sexual health and suggesting that further research in this arena may be fruitful.