Health-Related Quality of Life and Psychosocial Variables in Women with Colorectal Pelvic Floor Dysfunction: A Cross-Sectional Study
Abstract
:1. Introduction
2. Patients and Methods
2.1. Study Design
2.2. Participants
2.3. Primary Outcome Measures
- 1.
- Pelvic floor burden—The Short Form of the Pelvic Floor Distress Inventory (PFDI-20): This is a self-administered 20-item questionnaire which produces a summary score and encompasses three sub-scales: the 6-item Urinary Distress Inventory (UDI-6), the 6-item Pelvic Organ Distress Inventory (POPDI-6), and the 8-item Colorectal–Anal Distress Inventory (CRADI-8). Each sub-scale score ranges from 0 to 100 and the total score is calculated by adding the three sub-scales scores. Higher scores are indicative of greater distress [17].
- 2.
- Pelvic floor impact—The Short Form of the Pelvic Floor Impact Questionnaire (PFIQ-7): This is a self-administered 7-item questionnaire that assesses how the bladder, bowel, or vaginal symptoms separately impact functioning. It encompasses three sub-scales: the 7-item Urinary Impact Questionnaire (UIQ-7), the 7-item Colorectal–Anal Impact Questionnaire (CRAIQ-7), and the 7-item Pelvic Organ Prolapse Impact Questionnaire (POPIQ-7). Each sub-scale score ranges from 0 to 100 and the overall summary score is obtained by adding the total scores of the three sub-scales. Higher scores are indicative of greater impact [17].
2.4. Secondary Outcome Measures
- 1.
- Health-related quality of life—The 36-Item Short-Form Health Survey (SF-36): This is self-reported questionnaire that is widely used to evaluate health-related quality of life. Its 36 items cover the following eight domains: Physical Functioning (PF), Role Physical (RP), Bodily Pain (BP), General Health (GH), Vitality (VT), Social Functioning (SF), Role Emotional (RE), and Mental Health (MH). These can be summarized in two components: Physical Component Summary (PCS), and Mental Component Summary (MCS). The score for each dimension ranges from 0 to 100, with higher scores indicating better performance in each domain [19]. We used the Spanish-validated version [20].
- 2.
- Depression—The Beck Depression Inventory II (BDI-II): The BDI-II is a self-reported questionnaire consisting of 21 items. Total scores range from 0 to 63, with higher scores indicating more severe symptomatology. Range values of 0–13 are considered minimal depression, 14–19 indicate mild depression, 20–28 suggest moderate depression, and 29–63 indicate severe depression [21]. We used the Spanish-validated version [22].
- 3.
- Anxiety—The Beck Anxiety Inventory (BAI): The BAI is a self-reported questionnaire consisting of 21 items. Total scores range from 0 to 63, with higher scores indicating more severe symptomatology. Scores of 0–9 are considered normal, 10–18 indicate mild to moderate anxiety, 19–29 suggest moderate to severe anxiety, and 30–63 indicate severe anxiety [23]. We used the Spanish-validated version [24].
- 4.
- Sleep disturbance—The Insomnia Severity Index (ISI): The ISI is a self-reported questionnaire consisting of 7 items. Total scores range from 0 to 28, with higher scores indicating more severe sleep problems. Scores of 0–7 are considered normal, 8–14 indicate subthreshold insomnia, 15–21 suggest moderate insomnia, and 22–28 indicate severe insomnia [25]. We used the Spanish-validated version [26].
- 5.
- Sexual behavior—The Changes in Sexual Functioning Scale (CSFQ): The CSFQ is a self-reported questionnaire comprising 14 items for females and 14 items for males. Total scores range from 14 to 70, with cut-off points of 41 for females and 47 for males, where lower values indicate sexual dysfunction. It has five sub-scales that specifically measure the following domains: sexual desire/frequency, sexual desire/interest, sexual pleasure, sexual arousal/excitement, and sexual orgasm/completion [27]. We used the Spanish-validated questionnaire [28].
2.5. Sample Size and Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Wu, J.M.; Vaughan, C.P. Prevalence and trends of symptomatic pelvic floor disorder in U.S. women. Obstet. Gynecol. 2014, 123, 141–148. [Google Scholar] [CrossRef] [PubMed]
- Kenne, K.A.; Wendt, L. Prevalence of pelvic floor disorders in adult women being seen in a primary care setting and associated risk factors. Sci. Rep. 2022, 12, 9878. [Google Scholar] [CrossRef] [PubMed]
- Haylem, B.T.; Ridder, D. An International Urogynecological Association (IUGA)/International Continence Society (ICS) joint report on the terminology for female pelvic floor dysfunction. Int. Urogynecol. J. 2010, 21, 5–26. [Google Scholar] [CrossRef] [PubMed]
- Sung, V.W.; Hampton, B.S. Epidemiology of pelvic floor dysfunction. Obstet. Gynecol. Clin. N. Am. 2009, 36, 421–446. [Google Scholar] [CrossRef] [PubMed]
- National Institute for Health and Care Excellence (NICE). Pelvic Floor Dysfunction: Prevention and NON-Surgical Management; National Institute for Health and Care Excellence (NICE): London, UK, 2021; pp. 1–200. [Google Scholar]
- Manella, P.; Palla, G. The female pelvic floor through midlge and ageing. Maturitas 2013, 76, 230–234. [Google Scholar] [CrossRef] [PubMed]
- Ramalingam, K.; Monga, A. Obesity and pelvic floor dysfunction. Best Pract. Res. Clin. Obstet. Gynaecol. 2015, 29, 451–547. [Google Scholar] [CrossRef] [PubMed]
- Aubert, M.; Mege, D. Surgical management of the rectocele—An update. J. Visc. Surg. 2021, 158, 145–157. [Google Scholar] [CrossRef]
- Mack, I.; Hahn, H. Prevalence of Fecal Incontinence in Community-Dwelling Adults: A Systematic Review and Meta-analysis. Clin. Gastroenterol. Hepatol. 2023; online ahead of print. [Google Scholar] [CrossRef]
- Cerdan, C.; Arroyo, A. Consenso “Baiona” sobre incontinencia fecal. Cirugía Española 2024, 102, 158–173. [Google Scholar] [CrossRef]
- Barberio, B.; Judge, C. Global prevalence of functional constipation according to the Rome criteria: A systematic review and meta-analysis. Lancet Gastroenterol. Hepatol. 2021, 6, 638–648. [Google Scholar] [CrossRef]
- Rao, S.; Patcharatrakul, T. Diagnosis and Treatment of Dyssynergic Defecation. J. Neurogastroenterol. Motil. 2016, 22, 423–435. [Google Scholar] [CrossRef] [PubMed]
- Sadeghi, A.; Akbarpour, E. Dyssynergic Defecation: A Comprehensive Review on Diagnosis and Management. Turk. J. Gastroenterol. 2023, 34, 182–195. [Google Scholar] [CrossRef] [PubMed]
- Juganavar, A.; Joshi, K.S. Chronic Pelvic Pain: A Comprehensive Review. Cureus 2022, 14, e30691. [Google Scholar] [CrossRef] [PubMed]
- Bharucha, A.E.; Knowles, C.H. Faecal incontinence in adults. Nat. Rev. Dis. Primers 2022, 8, 53. [Google Scholar] [CrossRef] [PubMed]
- Fu, Y.; Jackson, C. Exploring support, experiences and needs of older women and health professionals to inform a self-management package for urinary incontinence: A qualitative study. BMJ Open 2023, 13, e071831. [Google Scholar] [CrossRef] [PubMed]
- Barber, M.D.; Walters, M.D. Short forms of two condition-specific quality-of-life questionnaires for women with pelvic floor disorders (PFDI-20 and PFIQ-7). Am. J. Obstet. Gynecol. 2005, 191, 103–113. [Google Scholar] [CrossRef] [PubMed]
- Sánchez-Sánchez, B.; Torres-Lacomba, M. Cultural adaptation and validation of the Pelvic Floor Distress Inventory Short-Form (PFDI-20) and the Pelvic Floor Impact Questionnaire Short-Form (PFIQ-7) Spanish versions. Eur. J. Obstet. Gynecol. Rep. Biol. 2013, 170, 281–285. [Google Scholar] [CrossRef] [PubMed]
- Ware, J.E.; Snow, K.K. SF-36 Health Survey. Manual & Interpretation Guide; The Health Institute, New England Medican Center: Boston, MA, USA, 1993. [Google Scholar]
- Alonso, J.; Prieto, L. La versión española del SF-36 Health Survey (Cuestionario de Salud SF-36): Un instrumento para la medida de los resultados clínicos. Med. Clin. 1995, 104, 771–776. [Google Scholar]
- Smarr, K.L.; Keefer, A.L. Measures of depression and depressive symptoms: Beck Depression Inventory-II (BDI-II), Center for Epidemiologic Studies Depression Scale (CES-D), Geriatric Depression Scale (GDS), Hospital Anxiety and Depression Scale (HADS), and Patient Health Questionnaire-9 (PHQ-9). Arthritis Care Res. 2011, 63, S454–S466. [Google Scholar]
- Sanz, J.; Perdigón, A.L. Adaptación española del Inventario para la Depresión de Beck-II (BDI-II): Propiedades psicométricas en población general. Clin. Salud 2003, 14, 249–280. [Google Scholar]
- Julian, L.J. Measures of anxiety: State-Trait Anxiety Inventory (STAI), Beck Anxiety Inventory (BAI), and Hospital Anxiety and Depression Scale-Anxiety (HADS-A). Arthritis Care Res. 2011, 63, S467–S472. [Google Scholar] [CrossRef]
- Magán, I.; Sanz, J. Psychometric properties of a Spanish version of the Beck Anxiety Inventory (BAI) in general population. Span. J. Psychol. 2008, 11, 626–640. [Google Scholar] [CrossRef] [PubMed]
- Omachi, T.A. Measures of sleep in rheumatologic diseases: Epworth Sleepiness Scale (ESS), Functional Outcome of Sleep Questionnaire (FOSQ), Insomnia Severity Index (ISI), and Pittsburgh Sleep Quality Index (PSQI). Arthritis Care Res. 2011, 63, S287–S296. [Google Scholar] [CrossRef] [PubMed]
- Fernandez-Mendoza, J.; Rodriguez-Muñoz, A. The Spanish version of the Insomnia Severity Index: A confirmatory factor analysis. Sleep Med. 2012, 13, 207–210. [Google Scholar] [CrossRef] [PubMed]
- Clayton, A.H.; McGarvey, E.L. Clavet. The Changes in Sexual Functioning Questionnaire (CSFQ): Development, reliability, and validity. Psychopharmacol. Bull. 1997, 33, 731–745. [Google Scholar] [PubMed]
- Bobes, J.; Gonzalez, M.P. Validation of the Spanish version of the Changes in Sexual Functioning Questionnaire (CSFQ). J. Sex. Marital Ther. 2000, 26, 119–131. [Google Scholar] [PubMed]
- Jarbøl, D.E.; Haastrup, P.F. Women′s barriers for contacting their general practitioner when bothered by urinary incontinence: A population-based cross-sectional study. BMC Urol. 2021, 2, 99. [Google Scholar]
- Gamé, X.; Piollet-Calmette, I. Enquête miroir auprès de patients et de professionnels de santé portant sur l’incontinence urinaire par urgenturie ou mixte [Mirror survey of patients with urge urinary incontinence and healthcare professionals]. Prog. Urol. 2021, 31, 747–754. [Google Scholar] [CrossRef]
- Hammad, F.T. Prevalence, social impact and help-seeking behaviour among women with urinary incontinence in the Gulf countries: A systematic review. Eur. J. Obstet. Gynecol. Reprod. Biol. 2021, 266, 150–156. [Google Scholar] [CrossRef]
- Creamer, F.; Orlando, A. A European snapshot of psychosocial characteristics and patients’ perspectives of faecal incontinence-do they correlate with current scoring systems? Int. J. Color. Dis. 2021, 36, 1175–1180. [Google Scholar] [CrossRef]
- Peinado-Molina, R.A.; Hernández-Martínez, A. Pelvic floor dysfunction: Prevalence and associated factors. BMC Public Health 2023, 23, 2005. [Google Scholar] [CrossRef] [PubMed]
- Harvie, H.S.; Arya, L.A. Utility preference score measurement in women with fecal incontinence. Am. J. Obstet. Gynecol. 2011, 204, 72.e1–72.e6. [Google Scholar] [CrossRef] [PubMed]
- De Sam Lazaro, S.; Nardos, R. Obesity and pelvic floor dysfunction: Battling the bulge. Obstet. Gynecol. Surv. 2016, 71, 114–125. [Google Scholar] [CrossRef] [PubMed]
- Volløyhaug, I.; Mørkved, S. Forceps delivery is associated with increased risk of pelvic organ prolapse and muscle trauma: A cross-sectional study 16–24 years after first delivery. Untrasound Obstet. Gynecol. 2015, 46, 487–495. [Google Scholar] [CrossRef] [PubMed]
- Vrijens, D.; Berghmans, B. Prevalence of anxiety and depressive symptoms and their association with pelvic floor dysfunctions: A cross-sectional cohort study at a Pelvic Care Centre. Neurourol. Urodyn. 2017, 36, 1816–1823. [Google Scholar] [CrossRef] [PubMed]
- Peinado-Molina, R.A.; Hernández-Martínez, A. Influence of pelvic floor disorders on quality of life in women. Front. Public Health 2023, 11, 1180907. [Google Scholar] [CrossRef] [PubMed]
- Verbeek, M.; Hayward, L. Pelvic floor dysfunction and its effect on quality of sexual life. Sex. Med. Rev. 2019, 7, 559–564. [Google Scholar] [CrossRef]
- Martínez-Galiano, J.M.; Peinado-Molina, R.A. Influence of pelvic floor disorders on sexuality in women. Int. J. Gynecol. Obstet. 2023; in press. [Google Scholar] [CrossRef]
- Savitz, D.A.; Wellenius, G.A. Can Cross-Sectional Studies Contribute to Causal Inference? It Depends. Am. J. Epidemiol. 2023, 192, 514–516. [Google Scholar] [CrossRef]
Patients (N = 84) | Controls (N = 57) | p Value | |
---|---|---|---|
Age (years) [mean ± s.d.] | 50.5 ± 10.8 | 50.4 ± 13.6 | 0.967 |
Body Mass Index (BMI) [N(%)] | |||
Normal (18.5–24.9) | 20 (23.8) | 35 (61.4) | 0.0003 |
Overweight (25–29.9) | 34 (40.5) | 15 (26.3) | |
Obesity (≥30) | 21 (25.0) | 7 (12.3) | |
Missing data | 9 (10.7) | ||
Marital status [N(%)] | |||
With partner | 73 (86.9) | 53 (92.9) | 0.762 |
Without partner | 7 (8.3) | 4 (7.0) | |
Missing data | 4 (4.8) | ||
Educational status [N(%)] | |||
Primary school | 41 (48.8) | 19 (33.3) | 0.059 |
Secondary school | 19 (22.6) | 19 (33.3) | |
University | 16 (19.0) | 19 (33.3) | |
Missing data | 8 (9.5) | ||
Employment status [N(%)] | |||
Not working | 34 (40.5) | 21 (36.8) | 0.379 |
Working | 42 (50.0) | 36 (63.3) | |
Missing data | 8 (9.5) |
Patients (N = 84) | Controls (N = 57) | p Value * | |
---|---|---|---|
Number of children [N(%)] | |||
0 | 5 (5.9) | 18 (31.6) | 0.0003 |
1–3 | 55 (65.5) | 38 (66.7) | |
≥4 | 8 (9.5) | 1 (1.7) | |
Missing data | 16 (19.0) | ||
Delivery type [N(%)] | |||
Vaginal | 102 (91.9) | 49 (72.1) | 0.0006 |
Cesarean section | 9 (8.1) | 19 (27.9) | |
At least one instrumental delivery [N(%)] | |||
No | 31 (38.1) | 22 (38.6) | <0.0001 |
Yes: forceps | 21 (25.0) | 4 (7.1) | |
Yes: vacuum | 2 (2.4) | 12 (21.1) | |
Missing data | 30 (35.7) | 19 (33.3) | |
Comorbidities: | |||
Cardiovascular | 15 (17.8) | 7 (12.3) | 0.0001 |
Gastrointestinal | 15 (17.8) | 4 (26.3) | |
Metabolic | 21 (25.0) | 8 (14.0) | |
Musculoskeletal | 26 (30.1) | 12 (21.1) | |
Neurological | 20 (23.8) | 1 (1.8) | |
Neoplastic | 5 (5.9) | 0 | |
Renal/urinary | 19 (22.6) | 1 (1.8) | |
Respiratory | 9 (10.7) | 7 (12.3) | |
Psychiatric | 25 (29.8) | 5 (8.8) |
Patients (N = 84) | Controls (N = 57) | p Value * | |
---|---|---|---|
PFDI-20 total scores | 118.3 ± 58.5 | 47.7 ± 40.3 | <0.0001 |
(14.6–279.9) | (0–169.8) | ||
UDI-6 | 37.8 ± 25.8 | 21.9 ± 16.7 | <0.0001 |
(0–100) | (0–58.3) | ||
POPDI-6 | 34.5 ± 26.2 | 15.4 ± 16.1 | <0.0001 |
(0–108.3) | (0–54.2) | ||
CRADI-8 | 58.1 ± 17.5 | 15.1 ± 16.1 | <0.0001 |
(12.5–96.9) | (0–65.6) | ||
PFIQ-7 total scores | 112.3 ± 74.2 | 35.3 ± 37.9 | <0.0001 |
(0–295) | (0–152.4) | ||
UIQ-7 | 29.9 ± 30.8 | 13.2 ± 17.8 | <0.0001 |
(0–100) | (0–57.1) | ||
POPIQ-7 | 28.9 ± 32.8 | 9.4 ± 17.6 | <0.0001 |
(0–100) | (0–100) | ||
CRAIQ-7 | 55.9 ± 31.2 | 12.6 ± 15.7 | <0.0001 |
(0–100) | (0–61.9) |
Patients (N = 84) | Controls (N = 57) | p Value * | |
---|---|---|---|
PF (Physical Functioning) | 56.9 ± 27.6 | 89.7 ± 11.3 | <0.0001 |
(0–100) | 40–100 | ||
RP (Role Physical) | 36.1 ± 42.8 | 79.9 ± 23.1 | <0.0001 |
(0–100) | (0–100) | ||
BP (Bodily Pain) | 41.4 ± 29.2 | 67.1 ± 26.4 | <0.0001 |
(0–100) | (0–100) | ||
GH (General Health) | 43.3 ± 22.9 | 45.5 ± 14.6 | 0.0994 |
(0–95) | (10–75) | ||
VT (Vitality) | 37.6 ± 22.8 | 51.3 ± 14.4 | <0.0001 |
(0–95) | (25–80) | ||
SF (Social Functioning) | 46.1 ± 28.6 | 73.7 ± 20.6 | <0.0001 |
(0–100) | (12.5–100) | ||
RE (Role Emotional) | 36.5 ± 43.8 | 63.2 ± 27.9 | <0.0001 |
(0–100) | (0–100) | ||
MH (Mental Health) | 47.9 ± 25.8 | 56.8 ± 14.5 | 0.0104 |
(0–96) | (8–92) | ||
PCS (Physical Component Summary) | 38.2 ± 11.1 | 51.0 ± 5.15 | <0.0001 |
(20–60.8) | (33.8–60.6) | ||
MCS (Mental Component Summary) | 33.5 ± 10.4 | 36.9 ± 7.2 | 0.0261 |
(14.2–57.6) | (13.6–49.9) |
Patients (N = 84) | Controls (N = 57) | p Value * | |
---|---|---|---|
BDI total scores | 20.3 ± 14.1 | 10.8 ± 9.3 | <0.0001 |
(0–50) | (0–35) | ||
BAI total scores | 19.5 ± 15.2 | 10.5 ± 7.3 | <0.0001 |
(0–57) | (0–32) | ||
ISI total scores | 14.3 ± 8.3 | 8.0 ± 4.9 | <0.0001 |
(0–28) | (0–20) | ||
CSFQ total scores | 37.5 ± 11.3 | 43.9 ± 9.5 | <0.0001 |
(22–66) | (22–66) | ||
Desire/frequency | 5.1 ± 2.0 | 6.4 ± 1.4 | <0.0001 |
(2–9) | (2–9) | ||
Desire/interest | 5.7 ± 2.3 | 7.2 ± 2.2 | <0.0001 |
(3–13) | (3–13) | ||
Pleasure | 2.4 ± 1.2 | 3.4 ± 0.9 | <0.0001 |
(1–5) | (2–5) | ||
Arousal/excitement | 7.7 ± 3.3 | 9.8 ± 2.6 | <0.0001 |
(3–15) | (3–15) | ||
Orgasm/completion | 8.1 ± 3.7 | 11.2 ± 2.8 | <0.0001 |
(3–15) | (3–15) |
(A) | |||||||
---|---|---|---|---|---|---|---|
Patients | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
1. PFDI-20 | 0.464 *** | −0.215 * | −0.169 | 0.122 | 0.162 | 0.023 | −0.040 |
2. PFIQ-7 | — | −0.598 *** | −0.346 ** | 0.041 *** | 0.385 *** | 0.268 * | −0.269 * |
3. SF-36 PCS | — | — | 0.558 *** | −0.685 *** | −0.718 *** | −0.404 *** | 0.412 *** |
4. SF-36 MCS | — | — | — | −0.769 *** | −0.719 *** | −0.550 *** | 0.317 ** |
5. BDI-II | — | — | — | — | 0.877 *** | 0.703 *** | −0.339 ** |
6. BAI | — | — | — | — | — | 0.616 *** | −0.459 *** |
7. ISI | — | — | — | — | — | — | −0.316 ** |
8. CSFQ | — | — | — | — | — | — | — |
(B) | |||||||
Controls | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
1. PFDI-20 | 0.784 *** | −0.138 | 0.106 | 0.302 * | 0.348 ** | 0.267 * | −0.023 |
2. PFIQ-7 | — | −0.286 * | −0.055 | 0.344 ** | 0.421 ** | 0.341 ** | −0.209 |
3. SF-36 PCS | — | — | −0.182 | −0.020 | −0.052 | 0.006 | −0.121 |
4. SF-36 MCS | — | — | — | 0.021 | 0.038 | −0.038 | 0.261 * |
5. BDI-II | — | — | — | — | 0.832 *** | 0.747 *** | −0.323 * |
6. BAI | — | — | — | — | — | 0.808 *** | −0.322 * |
7. ISI | — | — | — | — | — | — | −0236 |
8. CSFQ | — | — | — | — | — | — | — |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Molina-Barea, R.; Slim, M.; Calandre, E.P. Health-Related Quality of Life and Psychosocial Variables in Women with Colorectal Pelvic Floor Dysfunction: A Cross-Sectional Study. Healthcare 2024, 12, 668. https://doi.org/10.3390/healthcare12060668
Molina-Barea R, Slim M, Calandre EP. Health-Related Quality of Life and Psychosocial Variables in Women with Colorectal Pelvic Floor Dysfunction: A Cross-Sectional Study. Healthcare. 2024; 12(6):668. https://doi.org/10.3390/healthcare12060668
Chicago/Turabian StyleMolina-Barea, Rocío, Mahmoud Slim, and Elena P. Calandre. 2024. "Health-Related Quality of Life and Psychosocial Variables in Women with Colorectal Pelvic Floor Dysfunction: A Cross-Sectional Study" Healthcare 12, no. 6: 668. https://doi.org/10.3390/healthcare12060668
APA StyleMolina-Barea, R., Slim, M., & Calandre, E. P. (2024). Health-Related Quality of Life and Psychosocial Variables in Women with Colorectal Pelvic Floor Dysfunction: A Cross-Sectional Study. Healthcare, 12(6), 668. https://doi.org/10.3390/healthcare12060668