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Epidemiology
Original article
Ecological analysis examining the association between census tract-level incarceration and reported chlamydia incidence among female adolescents and young adults in San Francisco
  1. Juliet E Stoltey1,
  2. Ye Li2,3,
  3. Kyle T Bernstein4,5,
  4. Susan S Philip1,4
  1. 1Division of Infectious Diseases, University of California, San Francisco, California, USA
  2. 2Public Health Ontario, Toronto, Ontario, Canada
  3. 3Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
  4. 4STD Prevention and Control Services, San Francisco Department of Public Health, San Francisco, California, USA
  5. 5Division of Epidemiology, University of California, Berkeley, California, USA
  1. Correspondence to Dr Juliet Stoltey, UCSF, Division of Infectious Diseases, 513 Parnassus Ave, Box 0654, San Francisco, CA 94143, USA; juliet.stoltey{at}ucsf.edu

Abstract

Objectives Incarceration has been linked to increased risk of sexually transmitted infections (STIs). We conducted a census tract-level ecological analysis to explore the relationship between neighbourhood incarceration rates and chlamydia incidence among adolescent girls and young women under age 25 in San Francisco in 2010 to focus public health efforts in neighbourhoods at risk.

Methods Female chlamydial cases under age 25 that were reported to the San Francisco Department of Public Health in 2010 were geocoded to census tract, and chlamydia incidence was calculated. Addresses of incarcerated individuals were geocoded, and census tract-specific incarceration was estimated. American Community Survey data from 2005 to 2009 provided tract-specific survey estimates of demographic and socioeconomic characteristics of communities to allow for evaluation of potential census tract-level confounders. A Poisson mixed model was used to assess the relationship of census tract-level incarceration rate with chlamydial case rate.

Results Accounting for spatial dependence in neighbouring regions, there was a positive association between incarceration rates and chlamydia incidence in young women under age 25 in San Francisco, and this association decreased as poverty increased, after controlling for other risk factors in the model.

Conclusions This ecological analysis supports the neighbourhood role of incarceration in the risk of chlamydia among young women. These results have important implications for directing limited public health resources to local areas at risk in order to geographically focus prevention interventions and provide improved access to STI services in specific neighbourhoods with high incarceration rates.

  • ADOLESCENT
  • CHLAMYDIA INFECTION
  • EPIDEMIOLOGY (GENERAL)
  • WOMEN

https://doi.org/10.1136/sextrans-2014-051740

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    Introduction

    In the USA, African-American adolescents and young adults bear a disproportionate burden of sexually transmitted infections (STIs).1–3 This unequal distribution of morbidity is reflected in San Francisco, where in 2010 the reported chlamydia incidence among adolescents under age 21 was 1990.7 per 100 000 population, nearly four times the adult rate. Furthermore, chlamydial rates among African-Americans under age 21 were over 10 times higher than rates among white adolescents.4 As shown in prior studies, STI morbidity is not randomly distributed geographically5 and these patterns are seen locally; San Francisco's southern and central regions, which are historically largely African-American, have consistently demonstrated the highest STI incidence rates among adolescents in the city.4

    Largely, research has been focused on individual-level behavioural factors contributing to STI risk, such as condom use, number of sexual partners and substance use. However, these individual-level factors do not account for the substantial differences in disease burden among diverse age and racial groups.2 Research efforts have begun to shift toward risk factors within the broader context of sexual network and structural determinants of health. The determinants underlying the disproportionate burden of disease among African-American youth are complex and likely include the underlying high disease prevalence in the community, poverty, low male:female sex ratio and high rates of incarceration in this population.6 ,7 Multiple studies have identified the strong link between incarceration and increased STI risk among individuals,8 ,9 and between incarceration and increased sexual risk behaviours, including concurrency and multiple sexual partners.8 ,10 ,11 Young African-American women with a male sexual partner recently released from jail have been found to have increased risk of acquiring chlamydia.12 However, the relationship between individual STI risk, individual sexual behaviour and history of incarceration may not fully describe how community STI prevalence is influenced by census tract-level incarceration rates.

    Our study objective was to explore the ecological association between census tract-level incarceration and chlamydia incidence among female adolescents and young adults in San Francisco, while accounting for spatial dependence in neighbouring census tracts as well as other measures of correlated social disadvantage. Spatial dependence was included in the model to account for geographic clustering of STIs and to allow for an evaluation of the relationship between incarceration and chlamydia independent of spatial correlation. We hypothesised that incarceration rates after adjusting for other methods of disadvantage, including interaction effects related to selected demographic factors, would be associated with increased chlamydia incidence.

    Methods

    Chlamydia

    All chlamydial cases diagnosed in San Francisco residents are reportable to the San Francisco Department of Public Health (DPH) per Article 17 of the California Public Health Code; case reports include patient age, gender, gender of sex partners and residential address. Chlamydia counts for women under age 25 diagnosed in 2010 in San Francisco were obtained from the DPH STI surveillance system and geocoded with MapMarker Plus 14.2 (Pitney Bowes Software, Troy, NY). χ2 tests were performed to evaluate for potential differences between cases that could be geocoded and those that could not with regards to patient race and age. Once geocoded, aggregated case counts per census tract for chlamydia in women under age 25 were calculated. Population data for each census tract were obtained from the US 2010 census.13 Census tract-specific chlamydia incidence among women under age 25 was calculated.

    Census tract-level measures

    The unit of analysis was the census tract (n=178). Several census tract boundaries changed between 2000 and 2010; however, this analysis was conducted using the 2000 census tract boundaries, given that most of the morbidity and neighbourhood-level data were available within these 2000 census tract boundaries. Updated population counts using 2010 census data were used to populate tracts per the 2000 census tract boundaries. Two census tracts had boundaries change by one or two census block groups between 2000 and 2010; for each of these census tracts, the 2010 population count for the census tract that most closely approximated the year 2000 census tract boundary was used. Sensitivity analyses were conducted with and without these two census tracts and results did not change significantly, thus we included them in our analysis. Five census tracts with fewer than 20 female residents ages 10–24 were excluded from the analysis.

    The San Francisco Sheriff's Department provided the available residential addresses of all individuals in jail custody on 4 days representing each quarter in 2010 (30 March, 30 June, 30 September and 30 December 2010). The date and time of initial processing into jail were provided to allow for identification of duplicates. Initially, 6256 addresses were received. There were 1152 (18.4%) addresses located outside San Francisco; these were excluded from the analysis. An additional 1479 (23.6%) entries that had the same address, date and time were excluded as they likely represented the same individual in jail over the course of those four dates. There were 3625 (57.9%) addresses with a distinct date and time per address. Of these, 3385 (54.1% of all addresses received and 93.4% of addresses with a unique date and time) were geocoded to San Francisco census tracts. The census tract-specific incarceration count was then divided by the total population per tract, creating a proxy for incarceration rates based on available data from those four dates in 2010. For confidentiality reasons, we did not obtain any information about the incarcerated individuals other than address, and thus we were unable to evaluate for bias due to potential differences between individuals with addresses that were geocoded and those that were not.

    The U.S. Census Bureau American Community Survey (ACS) from 2005 to 2009 was used to estimate the following census tract-level measures: proportion of residents who are African-American, proportion of residents with income below poverty level in the past 12 months, proportion of housing units that are vacant, proportion of households that received food stamps/Supplemental Nutrition Assistance Programme in the past 12 months, and proportion of households with a female head of household. The proportion of households with a female head of household was used as a proxy for sex ratio in census tracts.

    Statistical analysis

    Pearson's correlation was obtained among the variables to examine the crude associations. A generalised linear mixed model with chlamydial count as Poisson response and population data from the 2010 census as offset was used to evaluate the association between census tract-level incarceration rates and chlamydia incidence. The model included the interaction between incarceration rates and poverty adjusting for potential confounders as covariates, and included spatial random effects on census tract levels to account for spatial correlation among contiguous census tracts. In addition, the model allowed for independent variations on census tract level by including an independent random effect to account for any overdispersion. This model is also known as the Besag–York–Mollie (BYM) model,14 which accounts for spatial correlation with aggregated count data. The BYM model is computationally efficient and results in a smooth risk surface and prediction variance that changes mainly as a function of the predicted risk. Accounting for spatial correlation helps to better estimate the SE of the covariates and therefore reduce the false discovery rate. The analysis was done using Integrated Nested Laplace Approximation 15 via Bayesian inference. All analyses were conducted using R (http://www.r-project.org). Only de-identified aggregated surveillance case report and incarceration data were used for public health programme planning and improvement purposes, and thus this study was considered exempt from human subjects considerations in accordance with the Code of Federal Regulations, Title 45.

    Results

    In San Francisco, there were 1298 chlamydial cases in women under age 25 reported to DPH in 2010. The reported chlamydia incidence in women under age 25 was 2097 cases per 100 000. Among these women, there were 1085 chlamydial cases geocoded to 152 of 178 census tracts. There were 213 chlamydial cases (16.4%) with missing addresses that could not be geocoded. There were no differences by race between those cases that could be geocoded and those that could not (p=0.413). However, cases aged 20–24 years were less likely to be geocoded to a valid address than those 19 and younger (p<0.0005). The distributions of incarceration and the other census tract-level factors are described in table 1, and maps of the chlamydia incidence and incarceration rate estimate in San Francisco by census tract are shown in figures 1 and 2.

    View this table:
    Table 1

    Distributions of incarceration and census tract-level factors in San Francisco census tracts (n=178) in 2010

    Figure 1
    Figure 1

    Chlamydia incidence among women under age 25 by census tract for San Francisco, 2010.

    Figure 2
    Figure 2

    Incarceration rate estimate by census tract for San Francisco, 2010.1Incarceration rate estimates were based on data from four discrete dates (30 March, 30 June, 30 September and 30 December 2010). This analysis of incarceration rate estimates was performed for public health evaluation and improvement purposes, and is not an official estimate for the City of San Francisco for 2010.

    The correlation of incarceration and the other census-tract level factors were examined. The highest unadjusted correlations were between incarceration rate and proportion African-American (r=0.759), incarceration rate and proportion of households receiving food stamps (r=0.755) and proportion African-American and proportion of households receiving food stamps (r=0.682). The correlation between incarceration rate and proportion below the federal poverty line was 0.411, and the correlation between incarceration rate and chlamydia incidence was 0.586.

    Results from the Poisson mixed model are presented in table 2. The proportion of African-American residents, households with a female head of household and population with income below poverty level were tested for possible interaction, and poverty was a significant effect modifier for the relationship between incarceration and chlamydia. Considering a baseline in which census tracts were modelled to have no population with income below poverty level, for every 1% increase in the incarceration rate in a census tract, the census tract-level chlamydia incidence is expected to increase by 149% (95% CI 76% to 243%) on average among young women under age 25 in San Francisco in 2010, after controlling for the proportion of African-American residents, households with a female head of household, vacant housing units and households that received food stamps. For every 1% increase in the census tract-level proportion of the population with income below poverty level, this association decreased by 1.8% (95% CI 0.8% to 2.9%). When census tracts were modelled to have no incarceration, for every 1% increase in the population with income below poverty level in a census tract, the census tract-level chlamydia incidence increased by 1.8% (95% CI 0.1% to 3.6%) on average among women under age 25 in San Francisco, after adjustment for other risk factors in the model. In addition, the proportion of residents who are African-American and the proportion of households with a female head of household in a census tract were also positively associated with chlamydial risk, and the proportion of housing units that are vacant in a census tract was inversely associated with chlamydial risk, on average among young women in San Francisco, adjusting for other risk factors in the model.

    View this table:
    Table 2

    Results of Poisson mixed model evaluating association between neighbourhood incarceration and chlamydial counts among adolescent girls and young women under age 25 in San Francisco in 2010*

    There was a very small amount of variation for both spatial structured random effects 0.25 (95% CI 0.12 to 0.58) and non-structured random effects 0.00054 (95% CI 0.0001 to 0.009).

    Discussion

    In this ecological analysis, we found that census tract-level incarceration rate estimates were positively associated with increased chlamydial risk among women under age 25 in San Francisco in 2010, after adjusting for spatial dependence. Further, the proportion of the population with income below poverty level was found to be an effect modifier for the relationship between incarceration and chlamydia, and was independently associated with chlamydial risk when census tracts were modelled to have no incarceration. These findings highlight the potential importance of considering not only individual risk behaviours but also area-level factors as interventions are developed to help reduce chlamydia among adolescents and young women.

    Our findings are consistent with the established literature linking incarceration with increased STI risk. In 2005, significant correlations were found between county-level incarceration rates and chlamydial and gonorrhoea rates in North Carolina,16 and a subsequent analysis in Durham County, North Carolina, identified an association between census tract incarceration rates and gonorrhoea rates.17 An ecological study in Chicago neighbourhoods employed homicide rates as a proxy for incarceration rates and identified an association with STI rates.18 Thomas et al have posited several potential mechanisms for the association between incarceration in communities and STIs. First, recently released individuals could bring infection (acquired prior to incarceration and never treated, or acquired while incarcerated) back to the community upon release, resulting in increased STI rates.16 Next, the effect of incarcerating large numbers of men changes the male:female sex ratio, such that men become more of a commodity, thus shifting power dynamics of sexual relationships and leading women into riskier sexual partnerships.6 ,16 ,19 ,20 Supporting this theory, Green et al21 found that lower county-level male:female sex ratios were associated with increased risky sexual behaviours among African-American individuals on probation and parole. Finally, social disorganisation contributes to increased prevalence of infection in neighbourhoods; incarceration is itself a ‘social force’ that leads to disruption of communities. Neighbourhoods experiencing the prolonged absence of many residents while incarcerated or the re-entry of the recently released may be fundamentally different from other communities and lacking in collective efficacy or social capital.16 ,18

    Poverty was found to be an effect modifier for the relationship between incarceration and chlamydia. Although the association between incarceration and chlamydia in a community was large in the model relative to the other covariates, the association decreased as poverty increased in a census tract. This highlights both the independent role of incarceration in chlamydial risk and the cumulative role of multiple structural determinants affecting health outcomes. While significant, high levels of neighbourhood incarceration alone do not explain the disproportionate burden of disease borne by young African-American women in San Francisco. Previous studies have found that after adjusting for sexual behaviour and socioeconomic factors, young African-Americans continue to have greater risk of STIs than teenagers of other races.22 ,23 High background prevalence of disease increases the likelihood of any sexual encounter resulting in infection.6 In addition, sexual network dynamics have been proposed as a mechanism for increased rates of bacterial STIs in African-American populations, with a comparatively increased number of sexual contacts between individuals with high-risk and low-risk sexual behaviours in sexual networks, leading to spread of infections throughout networks.24 Incarceration, poverty, skewed sex ratios, high background prevalence of disease and other unmeasured network factors all likely contribute to elevated chlamydial rates in these populations.

    In an unexpected finding, the proportion of housing units that are vacant in a census tract was inversely associated with chlamydial risk among women under 25. This result counters the theory that vacant households contribute to neighbourhood social disorder and thus would be associated with an increase rather than a decrease in STI rates. One study in Baltimore showed that people living in core gonorrhoea transmission areas lived closer to their sexual partners than individuals from lower gonorrhoea prevalence regions.25 The reason for our finding is unknown, but similarly it is possible that in San Francisco the population in neighbourhoods with more vacant housing units is less dense, and thus there are fewer people in close proximity and sharing sexual networks.

    There are inherent limitations in an ecological approach in that area-level characteristics cannot be reliably projected onto individuals within the communities examined (the ecological fallacy). Geocoding to census tracts to estimate neighbourhood incarceration rates was a strength of this analysis as historically these data have been difficult to obtain, limiting the ability to study the contribution of community incarceration to neighbourhood STI rates. In addition, this analysis accounted for spatial dependence in neighbouring regions, resulting in more accurate estimates of SE and therefore reduced possibility of making a false discovery.

    Additionally, there were data issues that might have impacted the magnitude of the association that we found. We were unable to geocode all cases of chlamydia in San Francisco or all of the addresses of incarcerated individuals. In comparisons of women with chlamydia that could and could not be geocoded, there were no differences by race; however, women ages 20–24 were less likely to be geocoded than those 19 and younger. We did not have individual-level data available to evaluate for differences among incarcerated individuals; however, we have no reason to believe that the lack of data was related to any of the measures examined. The incarceration rates used were estimates based on available residential addresses of all inmates in San Francisco jails on four dates throughout 2010; we were unable to obtain addresses of all incarcerated individuals in San Francisco for the year. By using the addresses of incarcerated individuals on four dates representing each of the four quarters in 2010, we attempted to obtain as representative a sample of the incarcerated population as possible given the resource constraints on obtaining additional data. Also, the ACS provides data on estimates of community characteristics and not actual counts, and these estimates reflected the five years prior to 2010. Finally, there is significant variation throughout the world in incarceration practices; the USA has more individuals in prison than any other country.7 Given the range in incarceration practices worldwide, there may be differences in the relationship between incarceration and STI risk that limit the international generalisability of these results.

    Collecting and analysing incarceration information with STI incidence rates at a local level may be one way to inform the development of data-guided programmatic efforts to decrease community STI morbidity. As one example of a possible linked STI prevention intervention, observational and modelling studies have suggested that jail-based chlamydial screening might lead to a decrease in community prevalence.26 ,27 Following release, STI screening could be incorporated into probation services for individuals returning to their communities. In addition, health departments could focus the provision of STI services in neighbourhoods with high incarceration rates.

    In conclusion, this ecological analysis supports the community-level role of incarceration in the risk of chlamydia among adolescent girls and young women. More broadly, our findings suggest the importance of multipronged upstream efforts that go beyond the individual to network and community levels to create public health interventions focusing on neighbourhoods with young women at risk. These results have important implications for directing limited public health resources to local regions in order to provide more effective prevention interventions and access to STI services in specific neighbourhoods, rather than across broader geographic regions. In addition, this study identifies neighbourhoods with higher risk where STI prevention and control programmes may be supported by collaboration between local public health departments and correctional partners.

    Key messages

    • Census tract-level incarceration rates were associated with higher chlamydia incidence among young women in San Francisco, and this association decreased as poverty increased.

    • Geocoding chlamydial case and incarcerated individual data to census tracts enabled more specific spatial information for assessment of this association.

    • Sexually transmitted infection (STI) prevention and control measures at the local level may be implemented more effectively by using incarceration data as an additional measure to guide geographically targeted interventions.

    • Collaboration between local public health departments and correctional partners in neighbourhoods at risk may result in more effective STI prevention programmes.

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    Footnotes

    • Handling editor Jackie A Cassell

    • Contributors JES led data collection, consulted regarding data analysis and interpretation of results, and led the writing. YL performed the analysis and interpretation of the data. KTB conceived the study, supervised the data analysis and interpretation, and assisted with writing and reviewing the manuscript. SSP conceived the study, provided critical review of the manuscript and supervised the study.

    • Funding This work has been supported in part by the US Public Health Service T32 Grant (AI007641-10) and by Comprehensive STD Prevention Projects (1H25PS001354-01) Centers for Disease Control and Prevention.

    • Competing interests All coauthors have reviewed and approved this work and have no conflicts of interest. SSP has grants supported by Roche, Cepheid, Abbott Diagnostics, SeraCare Life Sciences, Melinta Therapeutics and receives royalties from McGraw Hill Textbooks.

    • Provenance and peer review Not commissioned; externally peer reviewed.