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      Differences in Chlamydia trachomatis seroprevalence between ethnic groups cannot be fully explained by socioeconomic status, sexual healthcare seeking behavior or sexual risk behavior: a cross-sectional analysis in the HEalthy LIfe in an Urban Setting (HELIUS) study

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          Abstract

          Background

          In the Netherlands, there are strong disparities in Chlamydia trachomatis (CT) prevalence between ethnic groups. The current study aims to identify whether socioeconomic status, sexual risk behavior and sexual healthcare seeking behavior may explain differences in CT seroprevalence between ethnic groups.

          Methods

          We used 2011–2014 baseline data of the HELIUS (HEalthy LIfe in an Urban Setting) study, a multi-ethnic population-based cohort study in Amsterdam, the Netherlands, including participants from Dutch, African Surinamese, South-Asian Surinamese, Ghanaian, Moroccan and Turkish origin. For this analysis, we selected sexually active, heterosexual participants aged 18–34 years old. CT seroprevalence was determined using a multiplex serology assay. The CT seroprevalence ratios between different ethnicities are calculated and adjusted for potential indicators of socioeconomic status, sexual risk behavior and sexual healthcare seeking behavior.

          Results

          The study population consisted of 2001 individuals (52.8% female) with a median age of 28 years (IQR 24–31). CT seropositivity differed by ethnicities and ranged from 71.6% (African Surinamese), and 67.9% (Ghanaian) to 31.1% (Turkish). The CT seroprevalence ratio of African Surinamese was 1.72 (95% CI 1.43–2.06) and 1.52 (95% CI 1.16–1.99) of Ghanaian as compared to the Dutch reference group, after adjustment for socioeconomic status, sexual risk behavior and sexual healthcare seeking behavior.

          Conclusions

          Indicators of socioeconomic status, sexual risk behavior, and sexual health seeking behavior could not explain the higher CT seroprevalence among African Surinamese and Ghanaian residents of Amsterdam.

          Electronic supplementary material

          The online version of this article (10.1186/s12879-018-3533-7) contains supplementary material, which is available to authorized users.

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          Most cited references25

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          The Vaginal Microbiota: What Have We Learned after a Decade of Molecular Characterization?

          We conducted a systematic review of the Medline database (U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD, U.S.A) to determine if consistent molecular vaginal microbiota (VMB) composition patterns can be discerned after a decade of molecular testing, and to evaluate demographic, behavioral and clinical determinants of VMB compositions. Studies were eligible when published between 1 January 2008 and 15 November 2013, and if at least one molecular technique (sequencing, PCR, DNA fingerprinting, or DNA hybridization) was used to characterize the VMB. Sixty three eligible studies were identified. These studies have now conclusively shown that lactobacilli-dominated VMB are associated with a healthy vaginal micro-environment and that bacterial vaginosis (BV) is best described as a polybacterial dysbiosis. The extent of dysbiosis correlates well with Nugent score and vaginal pH but not with the other Amsel criteria. Lactobacillus crispatus is more beneficial than L. iners. Longitudinal studies have shown that a L. crispatus-dominated VMB is more likely to shift to a L. iners-dominated or mixed lactobacilli VMB than to full dysbiosis. Data on VMB determinants are scarce and inconsistent, but dysbiosis is consistently associated with HIV, human papillomavirus (HPV), and Trichomonas vaginalis infection. In contrast, vaginal colonization with Candida spp. is more common in women with a lactobacilli-dominated VMB than in women with dysbiosis. Cervicovaginal mucosal immune responses to molecular VMB compositions have not yet been properly characterized. Molecular techniques have now become more affordable, and we make a case for incorporating them into larger epidemiological studies to address knowledge gaps in etiology and pathogenesis of dysbiosis, associations of different dysbiotic states with clinical outcomes, and to evaluate interventions aimed at restoring and maintaining a lactobacilli-dominated VMB.
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            The utility of 'country of birth' for the classification of ethnic groups in health research: the Dutch experience.

            The relationship between ethnicity and health is attracting increasing attention in international health research. Different measures are used to operationalise the concept of ethnicity. Presently, self-definition of ethnicity seems to gain favour. In contrast, in the Netherlands, the use of country of birth criteria have been widely accepted as a basis for the identification of ethnic groups. In this paper, we will discuss its advantages as well as its limitations and the solutions to these limitations from the Dutch perspective with a special focus on survey studies. The country of birth indicator has the advantage of being objective and stable, allowing for comparisons over time and between studies. Inclusion of parental country of birth provides an additional advantage for identifying the second-generation ethnic groups. The main criticisms of this indicator seem to refer to its validity. The basis for this criticism is, firstly, the argument that people who are born in the same country might have a different ethnic background. In the Dutch context, this limitation can be addressed by the employment of additional indicators such as geographical origin, language, and self-identified ethnic group. Secondly, the country of birth classification has been criticised for not covering all dimensions of ethnicity, such as culture and ethnic identity. We demonstrate in this paper how this criticism can be addressed by the use of additional indicators. In conclusion, in the Dutch context, country of birth can be considered a useful indicator for ethnicity if complemented with additional indicators to, first, compensate for the drawbacks in certain conditions, and second, shed light on the mechanisms underlying the association between ethnicity and health.
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              Unravelling the impact of ethnicity on health in Europe: the HELIUS study

              Background Populations in Europe are becoming increasingly ethnically diverse, and health risks differ between ethnic groups. The aim of the HELIUS (HEalthy LIfe in an Urban Setting) study is to unravel the mechanisms underlying the impact of ethnicity on communicable and non-communicable diseases. Methods/design HELIUS is a large-scale prospective cohort study being carried out in Amsterdam, the Netherlands. The sample is made up of Amsterdam residents of Surinamese (with Afro-Caribbean Surinamese and South Asian-Surinamese as the main ethnic groups), Turkish, Moroccan, Ghanaian, and ethnic Dutch origin. HELIUS focuses on three disease categories: cardiovascular disease (including diabetes), mental health (depressive disorders and substance use disorders), and infectious diseases. The explanatory mechanisms being studied include genetic profile, culture, migration history, ethnic identity, socio-economic factors and discrimination. These might affect disease risks through specific risk factors including health-related behaviour and living and working conditions. Every five years, participants complete a standardized questionnaire and undergo a medical examination. Biological samples are obtained for diagnostic tests and storage. Participants’ data are linked to morbidity and mortality registries. The aim is to recruit a minimum of 5,000 respondents per ethnic group, to a total of 30,000 participants. Discussion This paper describes the rationale, conceptual framework, and design and methods of the HELIUS study. HELIUS will contribute to an understanding of inequalities in health between ethnic groups and the mechanisms that link ethnicity to health in Europe.
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                Author and article information

                Contributors
                bhulstein@ggd.amsterdam.nl , s.h.hulstein@amc.nl
                amatser@ggd.amsterdam.nl
                catharina.j.alberts@gmail.com
                m.b.snijder@amc.nl
                mwf-kg@willhauck.de
                k.hufnagel@Dkfz-Heidelberg.de
                mprins@ggd.amsterdam.nl
                h.j.devries@amc.nl
                mschim@ggd.amsterdam.nl
                T.Waterboer@dkfz-heidelberg.de
                Journal
                BMC Infect Dis
                BMC Infect. Dis
                BMC Infectious Diseases
                BioMed Central (London )
                1471-2334
                3 December 2018
                3 December 2018
                2018
                : 18
                : 612
                Affiliations
                [1 ]ISNI 0000 0000 9418 9094, GRID grid.413928.5, Department of Infectious Diseases, , Public Health Service of Amsterdam (GGD Amsterdam), ; Nieuwe Achtergracht 100, 1018 WT Amsterdam, The Netherlands
                [2 ]ISNI 0000000404654431, GRID grid.5650.6, Department of Internal Medicine, , Amsterdam Institute for Infection and Immunity (AI&II), Academic Medical Center, ; Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
                [3 ]Department of Public Health, Amsterdam Public Health Research Institute, Academic Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
                [4 ]Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Academic Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
                [5 ]ISNI 0000 0004 0492 0584, GRID grid.7497.d, Molecular Diagnostics of Oncogenic Infections Division, German Cancer Research Center (Deutsches Krebsforschungszentrum DKFZ), ; Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
                [6 ]ISNI 0000000404654431, GRID grid.5650.6, Department of Dermatology, , Academic Medical Center, ; Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
                Author information
                http://orcid.org/0000-0003-3328-3062
                Article
                3533
                10.1186/s12879-018-3533-7
                6278015
                30509189
                98bbb1ca-98a4-4cae-9856-41fae8c42d72
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 22 May 2018
                : 20 November 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002996, Hartstichting;
                Award ID: 2010T084
                Funded by: FundRef http://dx.doi.org/10.13039/501100001826, ZonMw;
                Award ID: 200500003
                Funded by: European Integration Fund
                Award ID: 2013EIF013
                Funded by: FP7 Ideas: European Research Council ()
                Award ID: 278901
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Infectious disease & Microbiology
                ethnicity,chlamydia trachomatis,sexual healthcare seeking behavior,socioeconomic status,sexual risk behavior

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