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Article

Impact of Menopausal Status and Recurrent UTIs on Symptoms, Severity, and Daily Life: Findings from an Online Survey of Women Reporting a Recent UTI

1
Division of Population Medicine, School of Medicine, Cardiff University, Cardiff CF14 4YS, UK
2
Primary Care and Interventions Unit, UK Health Security Agency, Twyver House, Gloucester GL1 1DQ, UK
3
School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Antibiotics 2023, 12(7), 1150; https://doi.org/10.3390/antibiotics12071150
Submission received: 2 June 2023 / Revised: 23 June 2023 / Accepted: 1 July 2023 / Published: 5 July 2023
(This article belongs to the Special Issue Urinary Tract Infections and Antibiotic Intervention)

Abstract

:
Introduction: Current UKHSA UTI diagnostic guidance advises empirical antibiotics if two of the following symptoms are present: cloudy urine, dysuria, and new onset nocturia. Hormonal changes during menopause may impact UTI symptoms, and qualitative studies suggest women with recurrent UTIs may present with different UTI symptoms. This study aims to assess whether menopausal status and the presence of recurrent UTIs impact UTI symptoms in women. Methods: An e-survey was conducted between 13 March 2021 and 13 April 2021. Women aged 16 years or older with a history of a UTI in the last year were eligible for inclusion. We defined menopause as those aged 45–64 years; pre-menopause as those less than 45 years; and post-menopause as those 65 years and older. Recurrent UTIs were defined as three or more UTIs in the last year. The data were weighted to be representative of the UK population. Crude unadjusted and adjusted odds ratios were estimated using logistic regression. Results: In total, 1096 women reported a UTI in the last year. There were significant differences in UTI symptoms based on menopausal status and the presence of recurrent UTIs. Post-menopausal women self-reported more incontinence (OR 2.76, 95% CI 1.50,5.09), whereas menopausal women reported more nocturia. Women with recurrent UTIs reported less dysuria, more severe symptoms (OR 1.93 95% CI 1.37,2.73) and a greater impact on daily life (OR 1.68, 95% CI 1.19,2.37). Conclusions: This survey provides evidence that acute UTIs present differently based on menopausal status and in women with recurrent UTIs. It is important that healthcare professionals are aware of these differences when assessing women presenting with an acute UTI and, therefore, further research in this area is needed.

1. Introduction

Urinary tract infections (UTIs) in women have an estimated annual incidence of 10–13% with more than 50% of women experiencing at least one UTI during their lifetime [1,2,3]. Around 95% of women with a UTI see a healthcare professional, accounting for 1–3% of all UK primary care consultations [2,4,5]. The primary care diagnosis and management of UTIs is often based on symptoms alone or in conjunction with urine testing [6,7]. Current UK Health Security Agency (UKHSA) evidence-based guidance advises empirical antibiotics if two or more of the symptoms of cloudy urine, dysuria, and new onset nocturia are present [7,8]. There are concerns about empirical antibiotic use, especially since evidence suggests a significant proportion of antibiotics are prescribed inappropriately [9,10]. This has serious ramifications since antibiotic consumption is a major driver of antimicrobial resistance (AMR) [11]. Accurate diagnosis of acute infection is, therefore, a crucial step towards more appropriate antibiotic prescribing and reduced burden of AMR.
It is known that symptoms of an acute UTI may differ in those with cognitive impairment but not whether they differ in other patient populations. Evidence shows that UTI symptoms and their diagnostic properties can change with age [6,12]. The number of UTIs in women over 65 years increases over time, and the incidence of UTIs increases around menopause [13,14]. Menopause is a time of significant hormonal change and can result in the genitourinary syndrome of menopause (GSM) [15,16,17,18]. The symptoms of GSM include vaginal dryness and urinary symptoms, such as urgency, dysuria, and frequency [15,16,17,18]. GSM is seen in up to 50% of post-menopausal and is often chronic and progressive, starting 4–5 years after menopause [16,17,18]. Combined with the increasing prevalence of asymptomatic bacteriuria in older women, leading to false positive results, this renders urine sampling less effective and highlights the need for a greater understanding of UTI symptoms in this population [19,20].
Recurrent UTIs, defined as two UTIs in six months or three in twelve months, occur in up to 3% of women [2,21,22,23]. Women with recurrent UTIs are often prescribed repeated courses of antibiotics and, as such, have a greater risk of AMR [24,25,26,27]. Research into differences in the acute UTI symptoms of patients with recurrent UTIs is lacking and is limited to qualitative studies suggesting both ‘typical’ and ‘atypical’ symptoms [25,27]. It is, therefore, important to understand if the symptoms differ in women with recurrent UTIs to ensure the appropriate antibiotic treatment.
This study aims to assess whether menopausal status and the presence of recurrent UTIs impact the presenting symptoms of women with self-reported UTIs using an online survey.

2. Materials and Methods

2.1. Study Design

This was an online survey (e-survey) of adult women. The survey was based on a previously delivered computer-assisted in-person survey (2014) and was adapted to include information relevant to the COVID-19 pandemic [2].

2.2. Participants and Setting

The survey was administered between 13 March 2021 and 13 April 2021. The participants were recruited via Ipsos’ online panels. Ipsos (https://www.ipsos.com/en-uk, accessed on 30 June 2023) is a global market research group that utilises a variety of research methods, including in-person and telephone interviewing and internet surveys. For this survey, Ipsos utilised multi-source recruitment methods [28,29]. Eligible participants were defined as women aged 16 years or older with a previous experience of a UTI in the last 12 months. The definition of a UTI was clarified at the outset with the following statement: Urinary Tract Infections (UTIs) are often called urine, water, or bladder infections or cystitis. They can give you pain when passing urine and a need to pass urine more often.

2.3. Exposures and Outcomes

We assessed the associations between menopausal status and recurrent UTIs (exposures) and self-reported symptoms, symptom severity, and impact on daily life (outcomes).
As menopause typically occurs between the ages of 45 and 55 years (mean 55 years) and GSM occurs 4–6 years after the onset of menopause, we categorised women aged 45–64 as menopausal. This is comparable with other research [12,30]. We defined women aged less than 45 years as pre-menopausal and those aged 65 years and older as post-menopausal. Recurrent UTIs were defined as three or more UTIs reported in the last year.
The outcomes were related to the participants’ most recent UTI and the participants could respond with multiple symptoms associated with this UTI. The symptom severity was assessed by asking the participants “Thinking about your most recent UTI, how severe, if at all, were your symptoms? Please give your answer on a scale of 0 to 10 where 0 means you had no symptoms at all and 10 means your symptoms were very severe”. The severity was recorded on a 0 to 10 Likert scale. The impact on daily life was assessed by asking the participants “To what extent, if at all, did your most recent UTI affect your daily life?”. The possible responses included: it affected it a great deal, it affected it a fair amount, it didn’t affect it very much, or it didn’t affect it at all.

2.4. Analysis

The data were weighted by age, ethnicity, working status, housing tenure, social grade, education, and Government Office Region (GOR) to be representative of the UK population. The initial analyses were conducted by Ipsos. Additional analyses were performed using STATA v 14 (EC). Logistic regression models estimated the crude and adjusted odds ratios (OR) and 95% confidence intervals (CI) for each self-reported symptom and the presence of two or more of the three UTI predictive symptoms (cloudy urine, dysuria, and new onset nocturia) based on menopausal and recurrent UTI status. Ordinal logistic regression was used to assess how menopausal and recurrent UTI status influenced the symptom severity and quality of life. The adjusted ORs accounted for the age group, social grade, region, marital status, education, employment status, number of children, and ethnicity. Forest plots were created using R version 4.3.1.

3. Results

Approximately 53,000 women aged 16 years and over were approached to complete the survey. A total of 4153 women participated in the online survey with 2542 (61%) stating they had previously had a UTI, and of these, 1096 (26%) reported having a UTI in the last year and formed the study population. The mean age was 45 years, 90% (n = 988) were White, 30% (n = 327) were from North England, 30% (n = 327) were from the Midlands, 63% (n = 690) were married, and 636 (58%) were employed (Table 1).
The most common self-reported symptoms were dysuria (65%, n = 713) and urinary frequency (65%, n = 715), followed by lower abdominal pain (50%, n = 549), nocturia (47%, n = 515), and cloudy urine (37%, n = 407) (Figure 1).

3.1. Menopausal Status and Self-Reported Symptoms

Compared to pre-menopausal women (reference group), menopausal women were more likely to report urinary frequency (OR 1.44, 95% confidence interval (CI) 1.03,2.00), nocturia (OR 1.43, 95% CI 1.05,1.96), or new or worsening urinary incontinence (OR 1.66, 95% CI 1.06,2.62) (Figure 2). Post-menopausal women were more likely to report new or worsening urinary incontinence (OR 2.76, 95% CI 1.50,5.09) (Figure 3). Menopausal women were less likely to report haematuria (OR 0.58, 95% CI 0.36,0.94), vaginal discharge (OR 0.25, 95% CI 0.16,0.40), and unsteadiness (OR 0.55, 95% CI 0.31,0.99). Post-menopausal women were less likely to report dysuria (OR 0.61, 95% CI 0.38,0.97), lower abdominal pain (OR 0.56, 95% CI 0.35,0.87), haematuria (OR 0.46, 95% CI 0.23,0.93), vaginal discharge (OR 0.15, 95% CI 0.07,0.31), fever (OR 0.25, 95% CI 0.11,0.60), or kidney pain (OR 0.58, 95% CI 0.34,0.99). There was no difference by menopausal status for the presence of two or more of the strongly predictive symptoms of UTIs (dysuria, nocturia, or cloudy urine). Menopausal women were more likely to report greater severity of symptoms compared to pre-menopausal women (OR 1.39, 95% CI 1.04,1.86), whereas post-menopausal women reported a lesser impact on daily life compared to pre-menopausal symptoms (OR 0.62, 95% CI 0.39,0.98) (Table 2 and Table 3).

3.2. Recurrent UTIs and Self-Reported Symptoms

Compared to women with 1–2 UTIs in the previous year, women with recurrent UTIs were less likely to report dysuria (OR 0.63, 95% CI 0.44,0.89) (Figure 4) but were more likely to report unsteadiness (OR 1.85, 95% CI 1.10,3.10), shivering, shaking or rigours (OR 2.30, 95% CI 1.42,3.73), and kidney pain (OR 1.71, 95% CI 1.18,2.47). There was no difference between women with and without recurrent UTIs and the reporting of the strongly predictive symptoms of UTIs. Women with recurrent UTIs were more likely to report greater severity (OR 1.93 95% CI 1.37,2.73) (Table 2) and a greater impact on their daily life (OR 1.68, 95% CI 1.19,2.37) (Table 3).

4. Discussion

This online survey of 1096 women found differences in the acute UTI symptoms experienced by women based on menopausal status or having recurrent UTIs. We found that compared to pre-menopausal women, post-menopausal women were more likely to self-report new or worsening incontinence and less likely to report fever and abdominal pain. Menopausal women were more likely to report new nocturia and incontinence. Women with recurrent UTIs were less likely to report dysuria but more likely to report unsteadiness, shivering, shaking or rigours, and kidney pain. There was no difference based on menopausal or recurrent UTIs for reporting two or more of the three strongly predictive symptoms of a UTI. Women with recurrent UTIs self-reported more severe symptoms of their UTIs and a greater impact on life compared to those without recurrent UTIs. We found possible associations for other symptoms and the severity and impact on daily life based on menopausal status. However, we have less confidence in these findings as the OR confidence intervals were close to 1.

4.1. Comparison with Existing Literature

Several studies have evaluated the use of specific symptoms to diagnose UTIs [8,31,32]. Although various symptoms have been shown to be predictive of UTIs, symptom combinations are more predictive [8,31,32]. UKHSA guidance advises empirical antibiotics if two or more of the symptoms of cloudy urine, dysuria, and new onset nocturia are present, based on research that revealed that the positive predictive value of two or more symptoms was 74% and three or more symptoms was 82% [7,8]. However, it is unclear if the predictive value of these symptoms differs based on menopausal status or the presence of recurrent UTIs.
The results of our study provide some evidence that the symptoms of an acute UTI differ by menopausal status. Few studies have investigated this in detail. An observational study investigated 196 community-dwelling women in Israel between 2009 and 2010 and compared the acute UTI symptoms of women aged 45–54 years (defined as pre-menopausal) to those of women over 65 years (defined as post-menopausal) [12]. They found that post-menopausal women were more likely to report “urgency of urination”, “pain with voiding”, “incontinence”, “lower abdominal”, and “low back pain” but less likely to report “urinary frequency” and “painful” or “burning urination”. Our study demonstrates similarities in terms of incontinence and dysuria but the opposite finding in terms of abdominal pain. They also reported that post-menopausal women, compared to pre-menopausal women, reported more “frequency” and “urgency”, “back pain”, and “cold chills”. We found no increasing odds for such symptoms. Our study did, however, find that women of menopausal age reported more frequency, nocturia, or incontinence. Possible explanations for this discrepancy could be how “bladder pain” and “abdominal pain” were defined and how “painful urination”, “burning urination”, and “painful voiding” were distinguished, as this is not clear. Additionally, how pre-menopause was defined also differed. The findings of menopausal women being more likely to report new onset nocturia could be explained by the onset of menopause and GSM [15,16,17,18].
Another observational study of 1178 women presenting to Danish General Practice with UTI symptoms found that the symptoms were similar between age groups, although the reporting of dysuria decreased with age [6]. A questionnaire-based study of 661 women from UK General Practice similarly found that older women were less likely to report dysuria compared to younger women [33]. Both studies looked at age rather than menopausal status but appear to show less reported dysuria with increasing age. We found no clear association between menopausal status and dysuria. The reason why the presence of dysuria would change with age or menopause is not clear. Some potential explanations include reduced immune system function with increasing age, age and menopausal-related changes to the urinary tract, and the presence of asymptomatic bacteriuria [34].
The finding of post-menopausal women being less likely to self-report fever was not reported in the studies mentioned above but may be related to age rather than menopausal status. There is evidence that in the older population, between 20 and 30% will not have a fever with acute infection and that it has a limited diagnostic value for UTIs in the elderly [34,35,36,37]. The reasons for this blunted temperature response are not clear but may partially explain the results seen in our survey.
To date, no study has evaluated if women with recurrent UTIs present differently from women without recurrent UTIs. Evidence from qualitative research suggests that women with recurrent UTIs describe the typical symptoms of UTIs, such as dysuria, but also describe more atypical and generalised symptoms associated with UTIs, including shivering and weakness [25,27]. Our results show that women with recurrent UTIs report less dysuria (the reasons for which are unclear) whilst also reporting more non-specific symptoms associated with UTIs, like shivering, aligning with the qualitative evidence [25]. We also found that women with recurrent UTIs reported their symptoms as more severe compared to women without recurrent UTIs, and in the qualitative studies, women with recurrent UTIs often describe their UTIs as severe with a significant impact on their daily life [25,27].

4.2. Strengths and Limitations

This online survey study has several strengths and limitations. The surveyed population size was large and included 4153 participants from across England. It had a good representation of all age groups, social classes, and ethnic groups. Being an online survey may reduce the social desirability bias compared to face-to-face methods. Nearly two-thirds of women in this study (63%, n = 686) received antibiotics for a suspected UTI, but we aimed to explore the symptom experiences in women with a recent self-diagnosed UTI. Therefore, we did not restrict the participants to those who had a clinically diagnosed UTI, and we believe this is a strength of this study as it allowed us to assess women who chose not to seek care for their symptoms. There is a risk of recall bias with our survey since it relates to the respondents’ last UTI; however, this is reduced by focusing only on those with a UTI in the last year. We searched for any association between the severity score and the time of the participant’s last UTI and found that the severity scores were broadly similar, irrespective of the time from the last UTI (supplementary Table S3). The severity of the UTI symptoms was assessed using a 10-point Likert scale that was not validated and so might not accurately reflect the severity of the symptoms in this population. Finally, there is a risk of selection bias since certain populations may have been excluded due to limited internet access, the inability to complete the questionnaire online, or based on their survey preferences.

4.3. Implications for Clinical Practice and Future Research

Dysuria and nocturia are two of the three strongly predictive symptoms; however, women with recurrent UTIs have lower odds of reporting dysuria and menopausal women have higher odds of reporting nocturia. This has implications for the diagnosis and treatment of acute UTIs in these patient populations and suggests that a one-size-fits-all approach may not be suitable, and any assessment of acute UTI symptoms should consider the menopausal status and history of recurrent UTIs. The self-reporting of two of the three predictive symptoms of an acute UTI did not appear to differ in these patient populations, providing some evidence that the current UKHSA guidance remains applicable. There is very limited research in these areas, and further exploration is required to ensure the clinical guidelines reflect the differences in UTI symptoms within these populations.

5. Conclusions

This online survey provides evidence that acute UTIs present differently based on menopausal status and if women have recurrent UTIs. Post-menopausal women self-reported more incontinence, whereas menopausal women reported more nocturia and women with recurrent UTIs reported less dysuria, which are two of the predictive symptoms. Healthcare professionals need to be aware of how UTI symptoms differ in these patients, and further research is required to confirm that current guidance is applicable in these populations to ensure appropriate antibiotic stewardship.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antibiotics12071150/s1, Table S1: Prevalence of self-reported symptoms and odds of having the symptoms in the menopausal (45–64 years, n = 332) or post-menopausal (>65 years, n = 194) group compared to the pre-menopausal (16–44 years, n = 570) group; Table S2: Prevalence of self-reported symptoms of an acute UTI and odds of that symptoms in women with recurrent UTI (3 or more UTIs in the previous year, n = 164) compared to those with-out recurrent UTIs (1–2 UTIs in the previous year, n = 931); Table S3: Severity score according to time from last UTI.

Author Contributions

Conceptualization: E.C., B.R. and D.M.L.; Formal analysis: L.N.S., E.C., B.R., H.A. and D.M.L.; Methodology: E.C., B.R. and D.M.L.; Supervision: H.A. and D.M.L.; Writing—original draft: L.N.S. and E.C.; Writing—review and editing: L.N.S., E.C., B.R., H.A. and D.M.L. All authors have read and agreed to the published version of the manuscript.

Funding

Funded by the UK Health Security Agency.

Institutional Review Board Statement

Ethics Committee review is not required for healthcare market research conducted by professional market researchers. Ipsos is an independent research agency bound by the rules of the Market Research Society.

Informed Consent Statement

Consent for this e-survey was through implied consent and voluntary completion of the survey with no financial or other incentives.

Data Availability Statement

All data requests should be submitted to the corresponding author for consideration. Access to the data may be granted following review.

Acknowledgments

We would like to acknowledge Cliodna McNulty (retired Head of Primary Care and Interventions Unit, UKHSA) for her involvement in the survey questionnaire design and initial analysis, Daniel Marshall (Research Manager, Ipsos Observer) who supported the questionnaire set-up and oversaw the data collection, and Karl Ashworth (Head of Analytics (Public Affairs) at Ipsos, UK) and Zoran Orlic (Senior Data Scientist at Ipsos, UK) who conducted the data analysis for Ipsos.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Beerepoot, M.A.J.; Geerlings, S.E.; van Haarst, E.P.; Mensing Van Charante, N.; ter Riet, G. Nonantibiotic prophylaxis for recurrent urinary tract infections: A systematic review and meta-analysis of randomized controlled trials. J. Urol. 2013, 190, 1981–1989. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Butler, C.C.; Hawking, M.K.D.; Quigley, A.; McNulty, C.A.M. Incidence, severity, help seeking, and management of uncomplicated urinary tract infection: A population-based survey. Br. J. Gen. Pract. 2015, 65, e702–e707. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Medina-Bombardó, D.; Jover-Palmer, A. Does clinical examination aid in the diagnosis of urinary tract infections in women? A systematic review and meta-analysis. BMC Fam. Pract. 2011, 12, 111. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Butler, C.C.; Hillier, S.; Roberts, Z.; Dunstan, F.; Howard, A.; Palmer, S. Antibiotic-resistant infections in primary care are symptomatic for longer and increase workload: Outcomes for patients with E. coli UTIs. Br. J. Gen. Pract. 2006, 56, 686–692. [Google Scholar] [PubMed]
  5. Alam, M.F.; Cohen, D.; Butler, C.; Dunstan, F.; Roberts, Z.; Hillier, S.; Palmer, S. The additional costs of antibiotics and re-consultations for antibiotic-resistant Escherichia coli urinary tract infections managed in general practice. Int. J. Antimicrob. Agents 2009, 33, 255–257. [Google Scholar] [CrossRef]
  6. Holm, A.; Siersma, V.; Cordoba, G.C. Diagnosis of urinary tract infection based on symptoms: How are likelihood ratios affected by age? a diagnostic accuracy study. BMJ Open 2021, 11, e039871. [Google Scholar] [CrossRef]
  7. Public Health England. Diagnosis of Urinary Tract Infections: Quick Reference Tool for Primary Care for Consultation and Local Adaptation. 2020. Available online: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/927195/UTI_diagnostic_flowchart_NICE-October_2020-FINAL.pdf (accessed on 27 September 2022).
  8. Little, P.; Rumsby, K.; Jones, R.; Warner, G.; Moore, M.; Lowes, J.A.; Smith, H.; Hawke, C.; Leydon, G.; Mullee, M. Validating the prediction of lower urinary tract infection in primary care: Sensitivity and specificity of urinary dipsticks and clinical scores in women. Br. J. Gen. Pract. 2010, 60, 495–500. [Google Scholar] [CrossRef] [Green Version]
  9. Smieszek, T.; Pouwels, K.; Dolk, C.; Smith, D.; Hopkins, S.; Sharland, M.; Hay, A.; Moore, M.; Robotham, J.V. Potential for reducing inappropriate antibiotic prescribing in English primary care. J. Antimicrob. Chemother. 2018, 73, ii36–ii43. [Google Scholar] [CrossRef] [Green Version]
  10. Pouwels, K.B.; Dolk, F.C.K.; Smith, D.R.M.; Robotham, J.V.; Smieszek, T. Actual versus “ideal” antibiotic prescribing for common conditions in English primary care. J. Antimicrob. Chemother. 2018, 73, ii19–ii26. [Google Scholar] [CrossRef]
  11. Chatterjee, A.; Modarai, M.; Naylor, N.R.; Boyd, S.E.; Atun, R.; Barlow, J.; Holmes, A.H.; Johnson, A.; Robotham, J.V. Quantifying drivers of antibiotic resistance in humans: A systematic review. Lancet Infect. Dis. 2018, 18, e368–e378. [Google Scholar] [CrossRef] [Green Version]
  12. Arinzon, Z.; Shabat, S.; Peisakh, A.; Berner, Y. Clinical presentation of urinary tract infection (UTI) differs with aging in women. Arch. Gerontol. Geriatr. 2012, 55, 145–147. [Google Scholar] [CrossRef] [PubMed]
  13. Laupland, K.B.; Ross, T.; Pitout, J.D.D.; Church, D.L.; Gregson, D.B. Community-onset urinary tract infections: A population-based assessment. Infection 2007, 35, 150–153. [Google Scholar] [CrossRef] [PubMed]
  14. Ahmed, H.; Farewell, D.; Jones, H.M.; Francis, N.A.; Paranjothy, S.; Butler, C.C. Incidence and antibiotic prescribing for clinically diagnosed urinary tract infection in older adults in UK primary care, 2004–2014. PLoS ONE 2018, 13, e0190521. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Gandhi, J.; Chen, A.; Dagur, G.; Suh, Y.; Smith, N.; Cali, B.; Khan, S.A. Genitourinary syndrome of menopause: An overview of clinical manifestations, pathophysiology, etiology, evaluation, and management. Am. J. Obstet. Gynecol. 2016, 215, 704–711. [Google Scholar] [CrossRef] [Green Version]
  16. Kagan, R.; Kellogg-Spadt, S.; Parish, S.J. Practical Treatment Considerations in the Management of Genitourinary Syndrome of Menopause. Drugs Aging 2019, 36, 897–908. [Google Scholar] [CrossRef] [Green Version]
  17. Phillips, N.A.; Bachmann, G.A. The genitourinary syndrome of menopause. Menopause 2021, 28, 579–588. [Google Scholar] [CrossRef]
  18. Monteleone, P.; Mascagni, G.; Giannini, A.; Genazzani, A.R.; Simoncini, T. Symptoms of menopause—Global prevalence, physiology and implications. Nat. Rev. Endocrinol. 2018, 14, 199–215. [Google Scholar] [CrossRef]
  19. Ninan, S.; Walton, C.; Barlow, G. Investigation of suspected urinary tract infection in older people. BMJ 2014, 349, g4070. [Google Scholar] [CrossRef]
  20. Mody, L.; Juthani-Mehta, M. Urinary tract infections in older women: A clinical review. JAMA 2014, 311, 844–854. [Google Scholar] [CrossRef] [Green Version]
  21. Foxman, B. Recurring urinary tract infection: Incidence and risk factors. Am. J. Public Health 1990, 80, 331–333. [Google Scholar] [CrossRef] [Green Version]
  22. Ikähelmo, R.; Siitonen, A.; Heiskanen, T.; Kärkkäinen, U.; Kuosmanen, P.; Lipponen, P.; Mäkelä, P.H. Recurrence of Urinary Tract Infection in a Primary Care Setting: Analysis of a I-Year Follow-up of 179 Women. Clin. Infect. Dis. 1996, 22, 91–99. [Google Scholar] [CrossRef] [PubMed]
  23. National Institute for Health and Care Excellence (NICE). Urinary Tract Infection (Lower)—Women. 2022. Available online: https://cks.nice.org.uk/topics/urinary-tract-infection-lower-women/ (accessed on 6 October 2022).
  24. Lecky, D.M.; Howdle, J.; Butler, C.C.; McNulty, C.A. Optimising management of UTIs in primary care: A qualitative study of patient and GP perspectives to inform the development of an evidence-based, shared decision-making resource. Br. J. Gen. Pract. 2020, 70, e330–e338. [Google Scholar] [CrossRef] [PubMed]
  25. Flower, A.; Bishop, F.L.; Lewith, G. How women manage recurrent urinary tract infections: An analysis of postings on a popular web forum. BMC Fam. Pract. 2014, 15, 162. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Flower, A.; Winters, D.; Bishop, F.L.; Lewith, G. The challenges of treating women with recurrent urinary tract infections in primary care: A qualitative study of GPs’ experiences of conventional management and their attitudes towards possible herbal options. Prim. Health Care Res. Dev. 2015, 16, 597–606. [Google Scholar] [CrossRef] [PubMed]
  27. Eriksson, I.; Olofsson, B.; Gustafson, Y.; Fagerström, L. Older women’s experiences of suffering from urinary tract infections. J. Clin. Nurs. 2014, 23, 1385–1394. [Google Scholar] [CrossRef] [PubMed]
  28. Duffy, B.; Mori, K.S.; Terhanian, O.G.; Bremer, J. Comparing data from online and face-to-face surveys. Int. J. Mark. Res. 2005, 47, 615–639. [Google Scholar] [CrossRef] [Green Version]
  29. IPSOS. Survey Methods At Ipsos. 2006. Available online: https://www.ipsos.com/en-uk/survey-methods-ipsos-mori (accessed on 26 October 2022).
  30. National Institute for Health and Care Excellence (NICE). Menopause: Diagnosis and Management—NICE Guideline [NG23]. 2015. Available online: https://www.nice.org.uk/guidance/ng23/ifp/chapter/menopause (accessed on 6 October 2022).
  31. Giesen, L.G.; Cousins, G.; Dimitrov, B.D.; van de Laar, F.A.; Fahey, T. Predicting acute uncomplicated urinary tract infection in women: A systematic review of the diagnostic accuracy of symptoms and signs. BMC Fam Pract. 2010, 11, 78. [Google Scholar] [CrossRef] [Green Version]
  32. Bent, S.; Nallamothu, B.K.; Simel, D.L.; Fihn, S.D.; Saint, S. Does This Woman Have an Acute Uncomplicated Urinary Tract Infection? JAMA 2002, 287, 2701–2710. [Google Scholar] [CrossRef]
  33. Jolleys, J.V. The reported prevalence of urinary symptoms in women in one rural general practice. Br. J. Gen. Pract. 1990, 40, 335–357. [Google Scholar]
  34. Gavazzi, G.; Krause, K.H. Ageing and infection. Lancet Infect. Dis. 2002, 2, 659–666. [Google Scholar] [CrossRef]
  35. Norman, D.C. Fever in the Elderly. Clin. Infect. Dis. 2000, 31, 148–151. [Google Scholar] [CrossRef]
  36. van Duin, D. Diagnostic challenges and opportunities in older adults with infectious diseases. Clin. Infect. Dis. 2012, 54, 973–978. [Google Scholar] [CrossRef] [Green Version]
  37. Gbinigie, O.A.; Ordóñez-Mena, J.M.; Fanshawe, T.R.; Plüddemann, A.; Heneghan, C. Diagnostic value of symptoms and signs for identifying urinary tract infection in older adult outpatients: Systematic review and meta-analysis. J. Infect. 2018, 77, 379–390. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Self-reported symptoms in response to the question “Thinking about your most recent UTI, did you have any of the following signs or symptoms?”. Note that respondents could answer with multiple symptoms (n = 1096).
Figure 1. Self-reported symptoms in response to the question “Thinking about your most recent UTI, did you have any of the following signs or symptoms?”. Note that respondents could answer with multiple symptoms (n = 1096).
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Figure 2. Forest plot of the odds of having the self-reported symptoms in menopausal (45–64 years, n = 332) women compared to pre-menopausal (16–44 years, n = 570) women. Two or more of the strongly predictive symptoms include cloudy urine, dysuria, and new onset nocturia. See supplementary Table S1 for the prevalence of self-reported symptoms and odds of having these symptoms.
Figure 2. Forest plot of the odds of having the self-reported symptoms in menopausal (45–64 years, n = 332) women compared to pre-menopausal (16–44 years, n = 570) women. Two or more of the strongly predictive symptoms include cloudy urine, dysuria, and new onset nocturia. See supplementary Table S1 for the prevalence of self-reported symptoms and odds of having these symptoms.
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Figure 3. Forest plot of the odds of having the self-reported symptoms in post-menopausal women (>65 years, n = 194) compared to pre-menopausal (16–44 years, n = 570) women. Two or more of the strongly predictive symptoms include cloudy urine, dysuria, and new onset nocturia. See supplementary Table S1 for the prevalence of self-reported symptoms and odds of having these symptoms.
Figure 3. Forest plot of the odds of having the self-reported symptoms in post-menopausal women (>65 years, n = 194) compared to pre-menopausal (16–44 years, n = 570) women. Two or more of the strongly predictive symptoms include cloudy urine, dysuria, and new onset nocturia. See supplementary Table S1 for the prevalence of self-reported symptoms and odds of having these symptoms.
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Figure 4. Forest plot of the odds of having the self-reported symptoms in women with recurrent UTIs (3 or more UTIs in the previous year, n = 164) compared to those without recurrent UTIs (1–2 UTIs in the previous year, n = 931). Two or more of the strongly predictive symptoms include cloudy urine, dysuria, and new onset nocturia. See supplementary Table S2 for the prevalence of self-reported symptoms and the odds of having these symptoms.
Figure 4. Forest plot of the odds of having the self-reported symptoms in women with recurrent UTIs (3 or more UTIs in the previous year, n = 164) compared to those without recurrent UTIs (1–2 UTIs in the previous year, n = 931). Two or more of the strongly predictive symptoms include cloudy urine, dysuria, and new onset nocturia. See supplementary Table S2 for the prevalence of self-reported symptoms and the odds of having these symptoms.
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Table 1. Demographics of e-survey study population (unweighted).
Table 1. Demographics of e-survey study population (unweighted).
Demographicse-Survey Study Population (%) n = 1096
Age (years)16–24130 (12%)
25–34254 (23%)
35–44183 (17%)
45–54205 (19%)
55–64133 (12%)
65–74119 (11%)
Over 7572 (7%)
EthnicityWhite988 (90%)
Ethnic minorities101 (9%)
Social gradeAB284 (26%)
C1360 (33%)
C2159 (15%)
DE293 (27%)
RegionNorth England327 (30%)
Midlands327 (30%)
South England287 (26%)
London155 (14%)
Marital statusMarried/living as married690 (63%)
Single253 (23%)
Widowed/divorced/separated153 (14%)
EducationGCSE/O-level/NVQ12279 (25%)
A-level or equivalent276 (25%)
Degree/Masters/PhD401 (37%)
No formal qualifications140 (13%)
Employment statusEmployed (full-time/part-time or self-employed)636 (58%)
Unemployed460 (42%)
Children in the household (17 years of age or under)No children708 (65%)
1 child204 (19%)
2 children130 (12%)
3 or more children54 (5%)
Table 2. Severity of UTI symptoms according to menopausal status and presence of recurrent UTIs. Six participants responded ‘Don’t know’ to severity based on menopausal status (four in pre-menopausal group and two in the post-menopausal group). Six participants responded ‘Don’t know’ to severity based on presence of recurrent UTIs (four in the 1–2 UTIs in the previous year group and two in the 3 or more UTIs in the past year group.
Table 2. Severity of UTI symptoms according to menopausal status and presence of recurrent UTIs. Six participants responded ‘Don’t know’ to severity based on menopausal status (four in pre-menopausal group and two in the post-menopausal group). Six participants responded ‘Don’t know’ to severity based on presence of recurrent UTIs (four in the 1–2 UTIs in the previous year group and two in the 3 or more UTIs in the past year group.
Severity Score N (%)Adjusted OR (95% CI)
012345678910
Menopausal statusPre-menopause 5 (1%)11 (2%)17 (3%)40 (7%)45 (8%)80 (14%)132 (23%)113 (20%)71 (13%)35 (6%)19 (3%)Reference
Menopause 2 (1%)3 (1%)8 (2%)21 (6%)15 (4%)52 (16%)59 (18%)79 (24%)59 (18%)20 (6%)14 (4%)1.39 (1.04, 1.86)
Post-menopause 4 (2%)1 (0.5%)6 (3%)12 (6%)20 (11%)25 (13%)22 (12%)48 (25%)31 (16%)11 (5%)11 (6%)1.20 (0.78, 1.85)
UTIs in the previous year1–2 UTIs7 (1%)14 (1%)29 (3%)71 (8%)70 (8%)134 (14%)186 (20%)207 (22%)134 (14%)45 (5%)31 (3%)Reference
3 or more UTIs4 (2%)1 (0.5%)2 (1%)3 (2%)10 (6%)23 (14%)27 (17%)33 (20%)28 (17%)20 (12%)13 (8%)1.93 (1.37, 2.73)
Table 3. Impact on daily life of UTI symptoms according to menopausal status and presence of recurrent UTIs. Three participants responded ‘Don’t know’ to impact on quality of life according to menopausal status (all in the pre-menopausal group). Three participants responded ‘Don’t know’ to impact on quality of life based on presence of recurrent UTIs (all in the 1–2 UTIs in the previous year group).
Table 3. Impact on daily life of UTI symptoms according to menopausal status and presence of recurrent UTIs. Three participants responded ‘Don’t know’ to impact on quality of life according to menopausal status (all in the pre-menopausal group). Three participants responded ‘Don’t know’ to impact on quality of life based on presence of recurrent UTIs (all in the 1–2 UTIs in the previous year group).
Impact on Daily Life N (%)Adjusted OR (95% CI)
NoneNot MuchFair AmountGreat Deal
Menopausal statusPre-menopause19 (3%)125 (22%)307 (54%)117 (21%)Reference
Menopause7 (2%)72 (22%)184 (55%)69 (21%)1.09 (0.80, 1.47)
Post-menopause11 (6%)64 (33%)86 (45%)33 (17%)0.62 (0.39, 0.98)
UTIs in the previous year1–2 UTIs31 (3%)234 (25%)491 (53%)173 (19%)Reference
3 or more UTIs5 (3%)27 (16%)86 (53%)46 (28%)1.68 (1.19, 2.37)
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MDPI and ACS Style

Sanyaolu, L.N.; Cooper, E.; Read, B.; Ahmed, H.; Lecky, D.M. Impact of Menopausal Status and Recurrent UTIs on Symptoms, Severity, and Daily Life: Findings from an Online Survey of Women Reporting a Recent UTI. Antibiotics 2023, 12, 1150. https://doi.org/10.3390/antibiotics12071150

AMA Style

Sanyaolu LN, Cooper E, Read B, Ahmed H, Lecky DM. Impact of Menopausal Status and Recurrent UTIs on Symptoms, Severity, and Daily Life: Findings from an Online Survey of Women Reporting a Recent UTI. Antibiotics. 2023; 12(7):1150. https://doi.org/10.3390/antibiotics12071150

Chicago/Turabian Style

Sanyaolu, Leigh N., Emily Cooper, Brieze Read, Haroon Ahmed, and Donna M. Lecky. 2023. "Impact of Menopausal Status and Recurrent UTIs on Symptoms, Severity, and Daily Life: Findings from an Online Survey of Women Reporting a Recent UTI" Antibiotics 12, no. 7: 1150. https://doi.org/10.3390/antibiotics12071150

APA Style

Sanyaolu, L. N., Cooper, E., Read, B., Ahmed, H., & Lecky, D. M. (2023). Impact of Menopausal Status and Recurrent UTIs on Symptoms, Severity, and Daily Life: Findings from an Online Survey of Women Reporting a Recent UTI. Antibiotics, 12(7), 1150. https://doi.org/10.3390/antibiotics12071150

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