- Academic Editor
Background: Stress urinary incontinence (SUI) is a
commonly occurring urological disorder in females, particularly among the elderly
population. Females with SUI often experience significant stigma associated with
their condition. This study aimed to investigate the current status of stigma
among elderly females with SUI and analyze its heterogeneous subtypes.
Methods: The Stigma Scale for Chronic Illness (SSCI) was used to survey
245 participants in two tertiary hospitals in Guangdong from November 2021 to
September 2022. Latent profile analysis was employed to create a classification
model, and variance and correlation analyses were conducted to assess the
influencing factors. Results: A total of 245 elderly females with SUI
participated in the survey. They had an average stigma score of 83.70
Stress urinary incontinence (SUI) is a urinary system disorder characterized by involuntary urine leakage during activities like coughing, sneezing, physical exertion, or other situations that elevate intra-abdominal pressure, resulting in temporary urinary incontinence (UI) [1]. Among females, especially in the elderly demographic, SUI stands as a prevalent urologic condition. Studies have reported prevalence rates ranging from 18.9% to 40%, with a notably higher prevalence of up to 28.2% in females aged over 60 years [2, 3, 4, 5]. A study has revealed that 60.6% of patients experiencing UI perceive it as significantly more embarrassing than depression and cancer [6]. This embarrassment often leads to a delay in seeking medical treatment due to the presence of qualitative shame. Consequently, patients find it challenging to access timely and effective therapeutic measures, which worsens disease symptoms and adds to their psychological stress. The intensifying symptoms and negative emotions further contribute to an increased sense of shame among patients, subsequently diminishing their social participation and reducing their inclination to seek medical treatment [7, 8, 9, 10]. This creates a vicious circle that adversely impacts the overall quality of life of these patients. Additionally, it is important to acknowledge that several factors, including a lack of awareness and education, cultural norms, gender roles, and age, contribute to the stigma surrounding incontinence [8, 9, 10]. Currently, research concerning the experienced stigma among elderly females with SUI [9, 10, 11, 12] predominantly focuses on evaluating clinical outcomes using composite scores, often without considering the heterogeneity among the items in these scales. However, latent profile analysis (LPA) is a clustering method based on a latent variable model, offering the capability to identify different groups within the data and describe the unique characteristics of each group [13]. Hence, this study aims to use LPA as a tool for exploring and analyzing the various subgroups of stigma characteristics present among elderly females with SUI. The results of this study provide evidence to furnish valuable insights for the development of targeted nursing interventions. These interventions are designed to reduce stigma, minimize its impact on patients’ health-related behavior, and ultimately improve their overall quality of life.
This cross-sectional study was conducted from November 2021 to September 2022 at
two tertiary hospitals located in Guangzhou, Guangdong Province. The study
specifically targeted participants admitted to the urology and geriatric
departments, employing a simple random sampling method. The inclusion criteria
were as follows: (1) Patients who met the diagnostic criteria outlined by the
International Association of Urinary Control for UI [14]; (2) SUI diagnosis
confirmed by a physician; (3) elderly females aged
The current study was designed to conduct a cross-sectional assessment of the prevalence of morbidity and the stigma experienced by female patients with SUI in a specific location. We conducted a two-sided test with a significance level (alpha) set at 0.05, considering an expected standard deviation of 30 and a margin of error of 5. The sample size was determined using PASS 15 software (NCSS, LLC., Kaysville, UT, USA) [15], resulting in a calculation of N = 139 cases. Accounting for a 20% anticipated loss to follow-up rate, a minimum of 174 cases were required as study participants. Ultimately, the study successfully enrolled 245 elderly female patients with SUI.
Based on the existing literature, the survey questionnaire assessed various sociodemographic characteristics, including age, educational attainment, income, marital status, obesity, history of constipation, and water intake. It also collected data on participants’ smoking and drinking habits. Furthermore, the questionnaire gathered information regarding clinical characteristics, encompassing the type and number of chronic diseases, history of genitourinary surgeries, and details pertaining to UI, such as the type of incontinence, number of leakage episodes, and frequency of micturition.
The Stigma Scale for Chronic Illness (SSCI) is a comprehensive measurement tool developed by Rao et al. [16] in 2009. This tool was specifically designed to assess the extent of stigma experienced by patients with various chronic diseases and builds upon the foundation of the Patient-Reported Outcome Measurement Information System. The SSCI comprises 24 items classified into two dimensions: self-stigma and perceived stigma. Out of these, 13 items pertain to self-stigma, while the remaining 11 items are associated with perceived stigma. A 5-point Likert scale, ranging from 1 (none) to 5 (always), is employed in the scale, resulting in a total score range of 24 to 120 points. Higher scores indicate a greater degree of morbid shame. Deng et al. [17] adapted this scale into a Chinese version known as the Chronic Disease Stigma Scale. The adapted scale exhibited excellent internal consistency and stability, as reflected by Cronbach’s alpha coefficient of 0.95. Moreover, the total scale exhibited a content validity of 0.932, while each individual item demonstrated a content validity ranging from 0.800 to 1.000.
Mplus 8.3 software (Muthén & Muthén, Los Angeles, CA, USA) was employed
to construct a latent profile classification model. This model used the SSCI
scores as exogenous variables and targeted elderly female patients with SUI.
Initially, the model consisted of a single category, and subsequent iterations
expanded the number of category models. Model fitness was assessed based on
multiple criteria, including Akaike Information Criterion (AIC), Bayesian
Information Criterion (BIC), sample-corrected BIC (aBIC), entropy index, and the
Roe-Mondale-Reuben-corrected likelihood ratio criterion (LMR), using the
Bootstrap Likelihood Ratio Test (BLRT) [18, 19]. The criteria for evaluating the
model’s fitness encompassed the following: (1) Smaller values of AIC, BIC, and
aBIC indicate better model fit [18]; (2) Higher entropy values closer to 1,
indicate a greater probability of accurate individual categorization [13, 20]; (3)
LMR and BLRT were employed to compare the fit difference between the “k” and
“k-1” models. A p-value
Upon determining the optimal model, sociodemographic and clinical
characteristics were compared among profiles using the combined sample from the
discovery and replication cohorts. IBM SPSS statistics for Windows (version 23;
IBM Corp., Armonk, NY, USA) was utilized to analyze the sociodemographic and
clinical characteristics across different profiles. Variations were examined
through the analysis of variance (ANOVA), t-tests, and
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by The Ethics Committee of the First Affiliated Hospital of Guangdong Pharmaceutical University (2022-87). Before we distributed the questionnaires, we assured the medical staff that the questionnaire will be used for academic research, their personal information will remain confidential, and they could withdraw at any stage. Moreover, the participants signed informed consent forms.
The mean scores for total, self, and perceived stigma were 83.70
Variable | Classification | Number (%) | Total stigma | Self-stigma | Perceive stigma |
Age (year) | 60–80 | 172 (70.2) | 84.42 |
49.00 |
35.41 |
Over 80 | 73 (29.8) | 82.01 |
47.79 |
34.21 | |
t/z | 1.242 | 1.072 | 1.262 | ||
p | 0.216 | 0.285 | 0.208 | ||
Educationlevel | Below elementary | 57 (23.3) | 78.79 |
45.61 |
33.17 |
Middle school | 114 (46.5) | 84.55 |
48.83 |
35.71 | |
High school or above | 74 (30.2) | 86.18 |
50.67 |
35.50 | |
F | 4.140 | 5.640 | 2.433 | ||
p | 0.018 | 0.004 | 0.092 | ||
Income level (Yuan Renminbi/¥) | 38 (15.5) | 87.97 |
50.86 |
37.10 | |
3000–5000 | 135 (55.1) | 84.14 |
49.09 |
35.04 | |
5000–7000 | 46 (18.8) | 81.76 |
47.06 |
34.69 | |
26 (10.6) | 78.62 |
45.80 |
32.80 | ||
F | 2.887 | 2.787 | 2.377 | ||
p | 0.041 | 0.047 | 0.077 | ||
Marital status | Married | 177 (72.2) | 84.94 |
49.02 |
35.90 |
Single | 68 (27.8) | 80.49 |
47.63 |
32.85 | |
t/z | 2.109 | 1.080 | 3.205 | ||
p | 0.037 | 0.283 | 0.002 | ||
Obesity (BMI |
Yes | 54 (22.0) | 83.74 |
48.42 |
35.31 |
No | 191 (77.9) | 83.69 |
48.70 |
34.98 | |
t/z | 0.028 | –0.222 | 0.360 | ||
p | 0.978 | 0.825 | 0.757 | ||
Constipation frequency | Never | 89 (36.3) | 83.61 |
48.51 |
35.08 |
Occasionally | 131 (53.5) | 83.65 |
48.41 |
35.23 | |
Frequently | 25 (10.2) | 84.32 |
50.28 |
34.04 | |
F | 0.028 | 0.580 | 0.324 | ||
p | 0.973 | 0.561 | 0.724 | ||
Water intake | 0–1000 mL | 17 (6.9) | 69.53 |
40.05 |
29.47 |
1000–2000 mL | 178 (72.7) | 83.46 |
48.60 |
34.85 | |
Over 2000 mL | 50 (20.4) | 89.38 |
51.68 |
37.70 | |
F | 11.204 | 11.897 | 8.197 | ||
p | 0.001 | ||||
Smoking and alcohol use | Yes | 76 (31.0) | 88.87 |
52.57 |
36.28 |
No | 169 (69.0) | 81.38 |
46.86 |
34.50 | |
t/z | 4.722 | 6.038 | 2.209 | ||
p | 0.028 | ||||
History of urogenital surgery | Yes | 26 (10.6) | 78.88 |
44.65 |
34.23 |
No | 219 (89.4) | 84.27 |
49.11 |
35.15 | |
t/z | –1.38 | –2.125 | –0.498 | ||
p | 0.179 | 0.042 | 0.623 | ||
Multiple chronic diseases | 1 or 2 types | 101 (41.2) | 84.72 |
49.48 |
35.23 |
3 types | 58 (23.7) | 83.21 |
48.22 |
34.98 | |
4 types | 63 (25.7) | 84.51 |
49.07 |
35.42 | |
More than 5 | 23 (9.4) | 78.26 |
44.78 |
33.47 | |
F | 1.024 | 1.847 | 0.325 | ||
p | 0.387 | 0.146 | 0.807 | ||
High blood pressure | Yes | 88 (35.9) | 83.85 |
48.43 |
35.42 |
No | 157 (64.1) | 83.62 |
48.75 |
34.85 | |
t/z | –0.127 | 0.289 | –0.617 | ||
p | 0.899 | 0.773 | 0.538 | ||
Coronary heart disease | Yes | 77 (31.4) | 82.09 |
47.31 |
35.19 |
No | 168 (68.5) | 84.44 |
49.25 |
34.77 | |
t/z | 1.157 | 1.757 | 0.413 | ||
p | 0.249 | 0.08 | 0.680 | ||
Chronic kidney disease | Yes | 141 (57.5) | 83.99 |
48.84 |
35.14 |
No | 104 (42.4) | 83.32 |
48.36 |
34.95 | |
t/z | 0.358 | 0.445 | 0.209 | ||
p | 0.721 | 0.657 | 0.834 | ||
Diabetes | Yes | 76 (31.0) | 92.95 |
52.86 |
40.07 |
No | 169 (68.9) | 79.54 |
46.73 |
32.80 | |
t/z | –9.043 | –6.784 | –9.902 | ||
p | |||||
Others (Endometriosis, Osteoporosis, Autoimmune diseases, etc.) | Yes | 67 (27.3) | 85.99 |
50.53 |
35.44 |
No | 178 (72.6) | 82.84 |
47.92 |
34.91 | |
t/z | 1.857 | 2.668 | 0.544 | ||
p | 0.065 | 0.008 | 0.587 | ||
Number of leakage episodes | Once a week or less | 64 (26.1) | 77.89 |
45.32 |
32.56 |
2–3 times a week or more | 93 (38.0) | 83.83 |
48.73 |
35.09 | |
Once a day | 44 (18.0) | 83.80 |
48.97 |
34.81 | |
Several time a day | 44 (18.0) | 91.80 |
52.93 |
38.86 | |
F | 13.384 | 10.586 | 10.911 | ||
p | |||||
Frequency of micturition | 2–3 times a day | 42 (17.1) | 79.26 |
46.11 |
33.14 |
3–5 times a day | 111 (45.3) | 82.60 |
48.22 |
34.37 | |
More than 5 times | 92 (37.6) | 87.05 |
50.29 |
36.76 | |
F | 5.019 | 3.746 | 5.357 | ||
p | 0.008 | 0.027 | 0.006 |
BMI, body mass index. 1 USD
The process began with the initial model, progressively constructing potential
category models ranging from 1 to 6, with the results outlined in Table 2. As the
number of model categories increased, both the AIC and BIC values exhibited a
gradual decrease, indicative of an improved model fit. It is worth noting that
each model maintained an entropy index
Log-likelihood | AIC | BIC | SSA-BIC | Relative frequecy of smallest class (%) | LMRT | BLRT | Enropy | |
1 | –6989.473 | 14,074.947 | 14,243.007 | 14,090.851 | - | - | - | - |
2 | –5693.488 | 11,532.976 | 11,788.568 | 11,557.164 | 14 | 0.0000 | 0.0000 | 0.998 |
3 | –5275.590 | 10,747.180 | 11,090.303 | 10,779.650 | 14 | 0.0006 | 0.0000 | 0.961 |
4 | –5096.284 | 10,438.567 | 10,869.222 | 10,479.321 | 9 | 0.0157 | 0.0000 | 0.965 |
5 | –4910.355 | 10,116.710 | 10,634.896 | 10,165.747 | 7 | 0.7509 | 0.0000 | 0.958 |
6 | –4819.996 | 9985.992 | 10,591.710 | 10,043.313 | 3 | 0.4184 | 0.0000 | 0.965 |
AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion; SSA-BIC, Sample-Size Adjusted Bayesian Information Criterion; LMRT, Lo-Mendell-Rubin Adjusted Likelihood Ratio Test; BLRT, Bootstrap Likelihood Ratio Test.
The scores of the three potential categories on the SSCI scale are shown in Fig. 1. Class 1, comprising 14.69% of the population, exhibited scores below the mean in all dimensions and was consequently labeled as the “low-self-low-perceived” group. Class 2, constituting 49.38% of the population, scored close to the mean in perceived stigma and above the mean in self-stigma and was labeled as the “high-self-medium-perceived” group. Class 3, comprising 35.91% of the population, achieved scores above the mean in all dimensions and was labeled as the “high-self-high-perceived” group.
Latent profile indicators mean values for the three profiles. Note: S1–S24 refers to entries 1 to 24 of the Stigma Scale for Chronic Illness (SSCI) scale.
An ANOVA was conducted, using the participants’ potential categories as
independent variables and the scores of the dimensions as well as the total
scores as dependent variables, as outlined in Table 3. The results revealed
statistically significant differences (p
Variable | Classification | Number (%) | Total score of Stigma | Self-Stigma | Perceive stigma |
Various potential profiles | Class 1 | 36 (14.6) | 55.69 |
32.80 |
22.88 |
Class 2 | 121 (49.3) | 83.36 |
49.54 |
33.80 | |
Class 3 | 88 (35.9) | 95.64 |
53.87 |
41.76 | |
F | 754.156 | 363.804 | 1132.166 | ||
p | 0.000 | 0.000 | 0.000 |
The potential categories were analyzed using a
Considering water intake, the “low-self-low-perceived” group had the highest
proportion of individuals consuming 0–1000 mL (27.8%), with an adjusted
residual of 5.3, while the “high-self-medium-perceived” group had the highest
proportion of individuals consuming 1000–2000 mL (79.3%), with an adjusted
residual of 2.3. Meanwhile, the “high-self-high-perceived” group had the highest
proportion of individuals consuming
Correlation chord plot depicting participant characteristics and potential categories.
This study aimed to investigate the prevailing levels of stigma among elderly females experiencing SUI. Additionally, the study also employed the LPA technique to categorize participants according to their stigma experiences, leading to the identification of three distinctive profiles: low-self-low-perceived, high-self-medium-perceived, and high-self-high-perceived. The findings indicated that the most substantial proportion of participants fell into the “high-self-medium-perceived” group.
In this study, it was observed that elderly female patients experiencing SUI exhibited elevated levels of stigma. Furthermore, the patients’ level of self-stigma was found to surpass their levels of perceived stigma. These findings can be attributed to several factors. Firstly, SUI can exert a significant impact on patients’ social activities and overall quality of life. Consequently, patients may harbor increased concerns about their own physical well-being, leading to an increased sense of self-morbid shame [23, 24, 25]. Moreover, older adults often have limited social circles and may place less emphasis on external evaluations. Consequently, their perceived morbid shame scores tend to be relatively low [26, 27]. A study involving 506 female patients experiencing UI, Guan et al. [27] also found that patients had the highest scores for intrinsic shame, which is consistent with the findings of this current study.
The study revealed that educational attainment (level of literacy), marital status, and water intake emerged as significant factors influencing the sense of shame among elderly female patients with SUI. Patients with varying levels of literacy may harbor different attitudes toward themselves and their illness, thereby impacting the degree of shame they experience [28]. Those with higher levels of literacy might place greater importance on etiquette and cultural refinement in social interactions, potentially leading to a greater mental and psychological burden when experiencing incontinence. This, in turn, may increase the likelihood of falling into the “high-self-medium-perceived” group. Conversely, patients with low levels of literacy may tend to belong to the “low-self-low-perceived” group. These findings align with those of Wang et al. [28], which is a study investigating the relationship between stigma and healthcare-seeking behaviors in elderly females. The study found that marital status independently influenced the intention of patients to seek healthcare. However, that study did not identify a direct impact of marital status on the stigma of patients. Conversely, our study demonstrated that patients with a spouse were more inclined to belong to the “high-self-high-perceived” group, while patients without a spouse were more likely to fall into the “low-self-low-perceived” group. This difference could be attributed to patients with spouses being more concerned about their image and privacy, which may lead to an intensified sense of stigma. However, these findings should be further explored with larger sample sizes. The daily water intake exhibited a positive correlation with the stigma, with higher water intake associated with a higher likelihood of falling into the “low-self-low-perceived”, “high-self-medium-perceived”, and “high-self-high-perceived” groups. This might be because excessive water intake can burden the digestive system, exacerbating UI symptoms and intensifying feelings of shame and embarrassment. The findings from Andersen et al. [29] also suggest that a well-managed water intake regimen can help alleviate the UI symptoms, consequently reducing the stigma of the patient [30, 31].
The study also found that the presence of diabetes mellitus, the frequency of
urine leakage, and the number of chronic diseases can impact the perception of
stigma in elderly females with SUI [32]. Patients with comorbid diabetes were
more inclined to belong to the “high-self-high-perceived” group, whereas patients
without diabetes were more likely to fall into the “high-self-medium-perceived”
group. This phenomenon may be attributed to the fact that diabetes not only
affects incontinence symptoms but can also lead to other health issues like
retinopathy and neuropathy. These additional health concerns increase the
susceptibility of patients to external influences, thereby amplifying their
perception of stigma [33, 34, 35, 36, 37]. This finding is consistent with the findings of
Akyirem et al. [33]. Furthermore, patients with less frequent urine
leakage were more likely to fall into the “low-self-low-perceived” group, while
those with more frequent leakage tended to belong to the
“high-self-high-perceived” group. This observation can be attributed to the fact
that urinary leakage not only impacts the social activities of the patients but
also increases the burden and discomfort experienced by others. Consequently,
patients become more acutely aware of their incontinence [7, 8, 38, 39]. This aligns
with the results reported by Cai [38], which indicated that
patients with UI often have their social interactions and comfort affected by
urine leakage. It is important to note that while some studies have shown that
chronic diseases can lead to patients developing a sense of shame [40, 41, 42], the
present study found that patients with
In conclusion, this study highlights the significant impact of stigma on elderly females experiencing SUI. The comprehension of factors influencing these emotional responses, such as level of literacy, marital status, water intake, the presence of diabetes mellitus, the frequency of urinary leakage, and the number of chronic diseases, can help healthcare professionals design customized interventions and support systems aimed at enhancing the psychosocial well-being of these patients. Through the reduction of stigma and the promotion of acceptance, there is the potential to improve the overall quality of life for elderly females living with SUI.
This study has certain limitations. First, due to its cross-sectional design, causal relationships could not be inferred from the results. Second, data collection was limited to participants from the two tertiary hospitals in Guangdong, China, and focused exclusively on older adults, thereby limiting the generalizability of the results.
In summary, this study used the potential profile analysis method alongside the SSCI scale to investigate the stigma among elderly female patients with SUI. The findings identified three distinct subgroups, with the majority falling into the “high-self-medium-perceived” group. Particular attention should be directed toward patients with high levels of literacy, elevated water intake, a spouse, serious urine leakage, and coexisting diabetes. Tailored nursing interventions should be implemented to enhance their mental well-being and diminish the burden of stigma they experience.
The raw data supporting the findings of this study are available from the authors, without undue reservation.
HH, BY, YL, and XY participated in the concept and design of the study. HH, YL and XH collected data and controlled quality. HH, BY, and QZ drafted and edited the manuscript. HH, QZ, and LO performed the statistical analyses. XY will be responsible for the paper’s pre-publication. All authors made substantial contributions to interpret data and revised the manuscript for important intellectual content. All authors contributed to the article and approved the final version.
The Ethics Committee of the First Affiliated Hospital of Guangdong Pharmaceutical University (2022-87) approved the study. Before we distributed the questionnaires, we assured the medical staff that the questionnaire will be used for academic research, their personal information will remain confidential, and they could withdraw at any stage. Moreover, the participants signed informed consent forms.
The authors would like to acknowledge the cooperation of the elderly population who participated in this study and express their gratitude for the valuable contributions of the research assistants.
This study received support from the Medical and Health Science and Technology Project funded by the Special Funds for Economic and Scientific Development of Longgang District, Shenzhen, China (LGWJ2021-042).
The authors declare no conflict of interest.
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