scholarly journals P416 Longitudinal relationship and sexual health outcomes for adolescent and young adults with pelvic inflammatory disease

2019 ◽  
Author(s):  
Maria Trent ◽  
Jamie Perin ◽  
Jacquelin Toppins ◽  
Julia Rowell ◽  
Steven Huettner ◽  
...  
Keyword(s):  
Young Adults ◽  
Sexual Health ◽  
Health Outcomes ◽  
Pelvic Inflammatory Disease ◽  
Inflammatory Disease ◽  
Adolescent And Young Adults

scholarly journals Adverse Adolescent Reproductive Health Outcomes After Pelvic Inflammatory Disease

2011 ◽  
Vol 165 (1) ◽  
Author(s):  
Maria Trent ◽  
Catherine L. Haggerty ◽  
Jacky M. Jennings ◽  
Sunghee Lee ◽  
Debra C. Bass ◽  
...  
Keyword(s):  
Reproductive Health ◽  
Health Outcomes ◽  
Pelvic Inflammatory Disease ◽  
Inflammatory Disease ◽  
Adolescent Reproductive Health

Pelvic inflammatory disease associated with Chlamydia trachomatis but not Mycoplasma genitalium in New Zealand

Sexual Health ◽  
2016 ◽  
Vol 13 (1) ◽  
pp. 43 ◽  
Author(s):  
Jeannie Oliphant ◽  
Sunita Azariah
Keyword(s):  
New Zealand ◽  
Chlamydia Trachomatis ◽  
Sexual Health ◽  
Pelvic Inflammatory Disease ◽  
Inflammatory Disease ◽  
Trichomonas Vaginalis ◽  
Mycoplasma Genitalium ◽  
Control Group ◽  
Sexual Health Service ◽  
Relevant Variables

Background There is a paucity of studies looking at associations between Mycoplasma genitalium and pelvic inflammatory disease (PID). The objectives of this study were to estimate the prevalence of M. genitalium in women attending a sexual health service in New Zealand and secondly to examine for an association of M. genitalium with PID. Methods: Women consecutively attending the service for a sexual health screen (Chlamydia trachomatis, Neisseria gonorrhoeae and Trichomonas vaginalis) were recruited to establish a baseline prevalence of M. genitalium. An extra cervical swab was taken for the detection of M. genitalium. Recruitment of additional women with a clinical diagnosis of PID continued until a sufficient sample size was obtained to examine the association of PID with M. genitalium. Women in the baseline sample without PID were used as the control group. Results: The control group included 250 women, with M. genitalium diagnosed in 8.7% (95% CI 5.8–12.9%) and C. trachomatis in 9.9% (95% CI 6.8–14.2%). Ninety-one women were recruited with PID; M. genitalium was diagnosed in 9.9% (95% CI 5.3–17.7%) and C. trachomatis in 27.5% (95% CI 19.4–37.4%). Multivariate analysis using clinically relevant variables showed that a diagnosis of C. trachomatis (OR 2.44, 95% CI 1.24–4.81) but not M. genitalium (OR 0.91, 95% CI 0.38–2.20) was significantly associated with a PID diagnosis. Conclusions: M. genitalium was almost as commonly diagnosed as C. trachomatis in this population. C. trachomatis was the only infection that was significantly associated with PID.

Trends in diagnosis of pelvic inflammatory disease in an Australian sexual health clinic, 2002–16: before and after clinical audit feedback

Sexual Health ◽  
2019 ◽  
Author(s):  
Jane L. Goller ◽  
Christopher K. Fairley ◽  
Alysha M. De Livera ◽  
Marcus Y. Chen ◽  
Catriona S. Bradshaw ◽  
...  
Keyword(s):  
Sexual Health ◽  
Pelvic Inflammatory Disease ◽  
Inflammatory Disease ◽  
Clinical Audit ◽  
Health Clinic ◽  
Before And After

scholarly journals Incidence of Pelvic Inflammatory Disease Associated With Mycoplasma genitalium Infection: Evidence Synthesis of Cohort Study Data

2020 ◽  
Vol 71 (10) ◽  
pp. 2719-2722 ◽  
Author(s):  
Joanna Lewis ◽  
Paddy J Horner ◽  
Peter J White
Keyword(s):  
Cohort Study ◽  
Sexual Health ◽  
Pelvic Inflammatory Disease ◽  
Inflammatory Disease ◽  
Evidence Synthesis ◽  
Age Groups ◽  
Mycoplasma Genitalium ◽  
Credible Interval ◽  
Study Data ◽  
Health Cohort Study

Abstract We synthesized evidence from the POPI sexual-health cohort study and estimated that 4.9% (95% credible interval, .4–14.1%) of Mycoplasma genitalium infections in women progress to pelvic inflammatory disease versus 14.4% (5.9–24.6%) of chlamydial infections. For validation, we predicted PID rates in 4 age groups that agree well with surveillance data.

scholarly journals How does the sexual, physical and mental health of young adults not in education, employment or training (NEET) compare to workers and students?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Clare Tanton ◽  
Lorraine McDonagh ◽  
Melissa Cabecinha ◽  
Soazig Clifton ◽  
Rebecca Geary ◽  
...  
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Young People ◽  
Sexual Health ◽  
Health Outcomes ◽  
Poor Health ◽  
Computer Assisted ◽  
Risk Behaviours ◽  
Health Domains ◽  
Mental And Physical Health

Abstract Background Syndemic theory highlights the potential for health problems to interact synergistically, compounding impact. Young adults not in education, employment or training (NEET) are more likely to experience disadvantage and poorer general health outcomes. However, there is little research on their sexual health, or the extent to which this clusters with mental and physical health outcomes. Methods Analysis of data from 16 to 24 year olds (1729 men, 2140 women) interviewed 2010–12 for Britain’s third National Survey of Sexual Attitudes and Lifestyles. Natsal-3 is a national probability sample survey using computer-assisted personal interviewing with computer-assisted self-interviewing. Participants were classified as workers, students or NEET. We used multivariable logistic regression to examine associations between being NEET (relative to worker or student) and risk behaviours and outcomes in physical, sexual and mental health domains. We then examined how risk behaviours and poor health outcomes cluster within and across domains. Results 15% men and 20% women were NEET; 36% men and 32% women were workers; and 49% men and 48% women were students. Young people who were NEET were more likely to report smoking and drug use (men) than other young people. There were few differences in sexual health, although NEETs were more likely to report condomless sex, and NEET women, unplanned pregnancy (past year). Risk behaviours clustered more within and across domains for NEET men. Among NEET women, poor health outcomes clustered across mental, physical and sexual health domains. Conclusions Harmful health behaviours (men) and poor health outcomes (women) clustered more in those who are NEET. This points to a possible syndemic effect of NEET status on general ill health, especially for women. Our paper is novel in highlighting that elevated risk pertains to sexual as well as mental and physical health.

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