IMR Press / CEOG / Volume 50 / Issue 8 / DOI: 10.31083/j.ceog5008161
Open Access Original Research
Health-Related Quality of Life with Cervical Cancer and Precancer: A Cross-Sectional Study in Yunnan Province, China
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1 Medical Administration Department, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), 650118 Kunming, Yunnan, China
2 School of Public Health, Kunming Medical University, 650500 Kunming, Yunnan, China
3 Medical Insurance Office, Yan'an Hospital of Kunming City, 650051 Kunming, Yunnan, China
4 Administrative Office, Qujing No.1 Hospital, 655000 Qujing, Yunnan, China
*Correspondence: caile002@hotmail.com (Le Cai)
These authors contributed equally.
Clin. Exp. Obstet. Gynecol. 2023, 50(8), 161; https://doi.org/10.31083/j.ceog5008161
Submitted: 27 March 2023 | Revised: 24 April 2023 | Accepted: 26 April 2023 | Published: 2 August 2023
Copyright: © 2023 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Background: Cervical cancer is the fourth most common cancer in women, with an estimated 600,000 new cases and 340,000 deaths worldwide in 2020. However, there remains limited understanding of the association between individual socioeconomic status, clinical characteristics, and health-related quality of life (HRQoL) of women with cervical precancerous lesions. This study investigates socioeconomic and clinical variations in HRQoL of women with cervical precancerous lesions and cervical cancer in Yunnan Province, China. Methods: The present study employed a cross-sectional survey design. An EuroQol Five Dimensions Five Level (EQ-5D-5L) questionnaire was used to assess HRQoL of 400 patients with cervical precancerous lesions and cervical cancer in Yunnan Province, China, from 2019 to 2020. Analysis of variance (ANOVA) and independent samples t-tests were performed to identify the independent variables associated with EQ-5D-5L utility scores and visual analogue scale (VAS) scores. Predictors of utility scores were confirmed using a Tobit regression model. Results: The mean EQ-5D-5L utility scores of cervical precancerous lesions and cervical cancer patients was 0.939 (standard deviation (SD), 0.104), and the mean VAS score was 80.84 (SD, 16.551). Patients aged 40–59 years (β = –0.037, p = 0.005), patients who were not aware of the human papillomavirus (HPV) vaccine (β = –0.032, p = 0.004), and patients who underwent radical hysterectomy (β = –0.036, p = 0.006) had significantly lower utility scores, whereas having high monthly household income (β = 0.023, p = 0.033) was significantly associated with higher EQ-5D-5L utility scores. Age (p = 0.023) was statistically significant in differences in patients’ VAS scores. Anxiety/depression was the most frequently reported issue (35.75%) among participants. Conclusions: Future cervical cancer prevention and treatment guidelines should focus on low-income women, women aged 40–59 years, and those lacking knowledge about cervical cancer prevention.

Keywords
cervical precancerous lesions and cancer
health-related quality of life
China
EQ-5D-5L
1. Introduction

Cervical cancer is the second most common female malignant cancer worldwide [1]and is a serious threat to women’s health [2]: the International Agency for Research on Cancer’s latest estimates on the global burden of cancer found cervical cancer is the most common cancer in women, with an estimated 600,000 new cases and 340,000 deaths worldwide in 2020 [3]. Persistent infection with specific types of human papillomavirus (HPV) is a necessary factor in the development of cervical cancer, and cervical intraepithelial neoplasia (CIN) is a precancerous lesion for development of invasive cervical cancer. In China, there were 106,400 new cervical cancer cases in 2018 [4], an incidence rate of 17.69 per 100,000 people, and a mortality rate of 5.52 per 100,000 people, which made it the 8th highest cause of female cancer mortality [5].

Women diagnosed with cervical cancer can experience both significant physical and psychological trauma as the diagnosis leads to financial burden on their families, changing body image, altered relationships with partners, as well as other major life changes. These many changes can adversely impact health-related quality of life (HRQoL) of patients and their families.

HRQoL is a patient-reported outcome that refers to individuals’ subjective assessment of well-being and ability to perform social roles. It is used as a health indicator in medical settings, including clinical interventions, treatments, and health surveys [6]. Evaluation of HRQoL in cervical cancer patients can help determine the burden of disease and provide essential information for planning interventions. Thus, it is important to understand the HRQoL of patients with precancerous lesions or cervical cancer, and to explore the factors that affect it.

Based on Casper Tax’s study in 2017, which provided an overview of the HRQoL tools used to measure cervical cancer patients [7], these tools were categorized as generic, cancer-specific, and cervical cancer-specific. At present, research on HRQoL of cervical cancer patients has been conducted in numerous countries [8, 9, 10]. However, in China, there have been few studies on HRQoL of patients with cervical cancer [11, 12, 13], and even fewer among Chinese ethnic minority populations of cervical cancer survivors.

Yunnan Province, a high altitude region located on the Yunnan-Guizhou Plateau in southwestern China, has the largest concentration of ethnic minorities in China. According to a 2017 study, the incidence of cervical cancer in Yunnan Province was 11.51 per 100,000 people and the mortality rate was 5.94 per 100,000 people [14], substantially higher than the national average. The mean age of onset of patients with cervical cancer in Yunnan Province has also gradually risen in the past five years [15]. However, few studies have evaluated HRQoL among precancerous or cervical cancer patients in Yunnan. In turn, it remains unclear what effect cervical lesions and cervical cancer have on HRQoL of women, independent of age, socio-economic status, and other confounders such as clinical stage, therapeutic regimen, and degree of tumor differentiation.

This study thus examined HRQoL of women with cervical precancerous lesions and cervical cancer along with its socio-demographic and clinical determinants in order to guide cervical cancer prevention and treatment efforts in Yunnan Province, China.

2. Methods
2.1 Instruments

Internationally, several instruments have been developed to evaluate the HRQoL of patients with cervical precancerous lesions and cervical cancer, including the EuroQol Five Dimensions (EQ-5D) [10], the Medical Outcomes Study 36-Item Short Form (SF-36) [13], the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Cervical Cancer Module (EORTC QLQ-CX24) [16, 17], and the Functional Assessment of Cancer Therapy-Cervix (FACT-Cx) [11, 18]. Of these, EQ-5D is one of the most commonly used instruments to describe and assess HRQoL [19]. This instrument has been translated into Chinese and has been shown to have satisfactory psychometric properties [20]. The simplified Chinese version of the EQ-5D-5L questionnaire consists of two key components: the EQ-5D descriptive system and the EQ visual analogue scale (EQ-VAS). The EQ-5D-5L descriptive system is a preference-based HRQoL measure with one question for each of the five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression [18]. In this study, each of these five dimensions had five scoring levels: no problems, slight problems, moderate problems, severe problems, and extreme problems. Each health status can be assigned a weighted utility score based on different scoring systems. In this study, we used the Chinese EQ-5D-5L value set to calculate the quality of life utility score of individual health status, which ranged from –0.391 (the worst state) to 1.000 (the second-best state) [20]. We also leveraged EQ-VAS, a 20 cm vertical line with clearly defined endpoints within which respondents can report their present health status with a grade ranging from 0 (the worst possible health status) to 100 (the best possible health status). The simplified Chinese version of the EQ-5D-5L questionnaire employed in this study can be downloaded from the EQ-5D website (https://euroqol.org/).

2.2 Participants and Procedures

The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center) in Kunming, the capital of Yunnan Province in southwest China, was selected through a convenience sampling method. It is a cancer hospital in Yunnan with integrated medical services, scientific research, teaching, and cancer prevention programs. The patients admitted to the hospital mainly come from the 16 states/cities of Yunnan Province, as well as other surrounding provinces and countries (Vietnam, Laos, Myanmar, etc.). All patients with cervical precancerous lesions and cervical cancer who previously received or are currently receiving treatment at this hospital were considered eligible for participation in this study. The following inclusion criteria were used to select participants among this population: age 18 years, a positive cervical tissue biopsy diagnosis of cervical precancerous lesions or cervical cancer (diagnosed by a gynecologist), not having received any treatment from another hospital, being able to read, write and speak Mandarin Chinese, and being willing and able to give informed consent to participate in the study. All diagnoses and treatment of cervical cancer were carried out in accordance with the cervical cancer clinical practice guidelines put forth by the National Comprehensive Cancer Network of the United States (NCCN) [21]. The following criteria led to exclusion from the study: having severe co-morbidities (including mental illness or cognitive impairment), the presence of other non-cervical cancer malignant tumors, and contraindications prior to radiotherapy, chemotherapy, and surgery. The survey was conducted through face-to-face interviews in a private office during participants’ hospital stays. The Third Affiliated Hospital of Kunming Medical University Ethics Committee approved this study prior to initiating the project (KYCS202016).

2.3 Data Collection and Measurement

The cross-sectional survey was performed from 2019 through 2020. All participants who consented to participate signed informed consent forms and were individually interviewed by trained interviewers using a simplified Chinese version of the EQ-5D-5L questionnaire. Demographic data was collected along with the questionnaire survey, including age, sex, ethnicity (e.g., Han majority or ethnic minority), occupation (e.g., farmer), level of education (primary school or below, junior high school, senior high school, or college or above), marital status (unmarried, married, widowed, divorced, or separated), monthly household income, health insurance type (e.g., basic medical insurance for urban employees, basic medical insurance for urban and rural residents), and awareness of the HPV vaccine (yes or no). Monthly household income was separated into two classifications (low and high), with the median value as the cutoff point. Low income referred to a monthly household income <$US 500, while high income referred to a monthly household income $US 500.

2.4 Statistical Analysis

Descriptive analyses were used to calculate absolute and relative frequencies (%). Counts and percentages were used to present categorical variables. Mean values of EQ-5D-5L utility scores and VAS scores were expressed as mean ± standard deviation (SD). T-tests and ANOVA were used to determine differences in utility and VAS scores of the respondents with different characteristics. Regarding censored data for outcome variables, as health utility scores ranged from –0.391 to 1.000 in this study, a Tobit regression model was used to examine the associations between EQ-5D-5L utility score and other independent variables. All data analyses were conducted using SPSS 22.0 software (IBM Corp., Chicago, IL, USA) and STATA V.12.0 (StataCorp LP, College Station, TX, USA). All statistical significance decisions were based on two-tailed p value of less than 0.05.

2.5 Quality Control

First, all researchers had been involved in specific trainings and got familiar with a detailed training document (on the study purpose, interview procedure, questionnaire interviewing, data collection and data input). Second, face-to-face interviews were administered by trained interviewers who could answer any doubts the patients had about the interview. The completed questionnaires were checked carefully at the end of each day. Furthermore, data input and data logistical checks were conducted by well-trained researchers.

3. Results

Overall, this study examined HRQoL of women with cervical precancerous lesions and cervical cancer and its socio-demographic and clinical determinants in Yunnan Province. The analysis included 400 patients. Participants were classified as having CIN (n = 136) or cervical cancer (n = 264). The demographic and clinical characteristics of the study population are described in Table 1. Participant ages ranged from 23 years to 75 years, with the majority of participants between the ages of 40 to 59 years. The percentage of Han ethnicity participants was 76%. The majority of participants were farmers (64%). More than half of the participants had a low education level (primary school or below). Greater than 90% of patients were married, while 1% were single. All participants were covered by some form of social health insurance. Data revealed that 54% of participants were low-income (monthly household income <$US 500).

Table 1.Demographic and clinical characteristics of the study population.
Characteristics n %
Age (years)
39 83 20.75
40–59 267 66.75
60 50 12.5
Ethnicity
Han ethnicity 304 76.00
Ethnic minorities 96 24.00
Occupation
Farmer 256 64.00
Other 144 36.00
Level of education
Primary school or below 217 54.25
Junior high school 107 26.75
Senior high school 36 9.00
College or above 40 10.00
Monthly household income ($US)
Low 217 54.2
High 183 45.8
Marital status
Unmarried 5 1.25
Married 362 90.5
Widowed 22 5.5
Divorced or separated 11 2.75
Type of health insurance
Basic medical insurance for urban employees 67 16.75
Basic medical insurance for urban and rural residents 333 83.25
Awareness of the human papilloma virus (HPV) vaccine
Aware 131 32.75
Unaware 269 67.25
Degree of tumor differentiation
Undifferentiated 172 43.00
Well differentiated 20 5.00
Moderately differentiated 103 25.75
Poorly differentiated 105 26.25
Clinical stages
CIN 136 34.00
I 133 33.25
II 88 22.00
III 32 8.00
IV 11 2.75
Type of disease
CIN 136 34.00
Cervical cancer 264 66.00
Therapeutic regimen
Loop electrosurgical excision procedure (LEEP) 118 29.5
Radical hysterectomy 141 35.25
Concurrent chemoradiotherapy 105 26.25
Surgery followed by adjuvant therapy 36 9.00

Abbreviation: CIN, cervical intraepithelial neoplasia.

Regarding degree of tumor differentiation, the proportions of patients in the undifferentiated, well differentiated, moderately differentiated, and poorly differentiated categories were 43.00%, 5.00%, 25.75%, and 26.25%, respectively. Most participants were at clinical stages CIN or I (136 and 133, respectively). The most common intervention received by participants was radical hysterectomy (35.25%), followed by loop electrosurgical excision procedure (LEEP) (29.5%), concurrent chemoradiotherapy (26.25%), and surgery followed by adjuvant therapy (9.00%).

Table 2 compares the summary statistics for participants’ EQ-5D-5L utility and VAS scores based on their socio-demographic and clinical characteristics. The mean EQ-5D-5L utility scores of cervical precancerous lesions and cervical cancer patients was 0.939, and VAS score was 80.84. Han ethnicity patients had significantly lower EQ-5D-5L utility scores than other ethnic minorities (p = 0.027). Patients aged 40–59 years had the lowest EQ-5D-5L utility scores (p = 0.012). Low monthly household income also correlated with lower utility scores (p = 0.013). Patients with cervical cancer had lower utility scores than patients with CIN (p = 0.047). Participants who were aware of the HPV vaccine had higher utility scores (p = 0.001). The difference in utility scores was statistically significant among different therapeutic regimens (p = 0.038). The characteristic of age (p = 0.023) was statistically significant in patients’ VAS scores. No statistical significance was found among the other variables with utility scores and VAS scores (p > 0.05).

Table 2.EQ-5D five-level utility scores and VAS scores across different characteristics.
Characteristics n EQ-5D utility values p value VAS scores p value
mean ± SD mean ± SD
Age (years) 0.012 0.023
39 83 0.965 ± .0601 80.57 ± 14.354
40–59 267 0.929 ± 0.116 79.81 ± 17.538
60 50 0.953 ± 0.088 86.78 ± 13.196
Ethnicity 0.027 0.436
Han ethnicity 304 0.934 ± 0.112 80.48 ± 17.254
Ethnic minorities 96 0.956 ± 0.076 81.99 ± 14.115
Occupation 0.115 0.945
Farmer 256 0.933 ± 0.115 80.88 ± 16.924
Other 144 0.949 ± 0.082 80.76 ± 15.923
Level of education 0.191 0.51
Primary school or below 217 0.931 ± 0.114 81.48 ± 16.736
Junior high school 107 0.948 ± 0.102 78.93 ± 17.582
Senior high school 36 0.938 ± 0.085 80.47 ± 14.858
College or above 40 0.966 ± 0.059 82.80 ± 14.026
Monthly household income ($US) 0.013 0.311
Low 217 0.935 ± 0.111 80.08 ± 18.017
High 183 0.958 ± 0.068 81.74 ± 14.622
Marital status 0.944 0.198
Unmarried 5 0.959 ± 0.444 81.00 ± 12.450
Married 362 0.940 ± 0.105 80.99 ± 16.561
Widowed 22 0.930 ± 0.120 83.41 ± 14.751
Divorced or separated 11 0.944 ± 0.075 70.73 ± 19.540
Type of health insurance 0.118 0.706
Basic medical insurance for urban employees 67 0.956 ± 0.900 81.54 ± 14.830
Basic medical insurance for urban and rural residents 333 0.936 ± 0.107 80.70 ± 16.893
Awareness of the human papillomavirus (HPV) vaccine 0.001 0.728
Aware 131 0.961 ± 0.714 80.43 ± 15.300
Unaware 269 0.929 ± 0.116 81.04 ± 17.151
Degree of tumor differentiation 0.066 0.259
Undifferentiated 172 0.955 ± 0.095 81.440 ± 16.434
Well differentiated 20 0.932 ± 0.082 79.400 ± 17.795
Moderately differentiated 103 0.927 ± 0.107 78.300 ± 17.602
Poorly differentiated 105 0.927 ± 0.117 82.630 ± 15.315
Clinical stages 0.406 0.281
CIN 136 0.954 ± 0.102 81.47 ± 16.332
I 133 0.934 ± 0.097 81.63 ± 15.254
II 88 0.931 ± 0.122 78.28 ± 18.762
III 32 0.929 ± 0.103 83.91 ± 15.038
IV 11 0.927 ± 0.070 75.00 ± 18.841
Type of disease 0.047 0.585
CIN 136 0.954 ± 0.102 81.47 ± 16.332
cervical cancer 264 0.932 ± 0.105 80.52 ± 16.684
Therapeutic regimen 0.038 0.187
Loop electrosurgical excision procedure (LEEP) 118 0.962 ± 0.087 82.53 ± 14.957
Radical hysterectomy 141 0.926 ± 0.112 80.60 ± 16.134
Concurrent chemoradiotherapy 105 0.936 ± 0.101 81.03 ± 17.991
surgery followed by adjuvant therapy 36 0.926 ± 0.128 75.67 ± 18.291
Total 400 0.939 ± 0.104 80.84 ± 16.551

Abbreviations: VAS, visual analogue scale; SD, standard deviation; CIN, cervical intraepithelial neoplasia; EQ-5D, EuroQol Five Dimensions.

As shown in Table 3, among the patients studied, the most frequently reported problem was anxiety/depression (35.75%), followed by pain/discomfort (24.0%), mobility challenges (9.25%), restrictions in usual activity (7.75%), and challenges to maintaining self-care (7.25%). Data revealed that 53.65% (n = 228) of patients reported no problems in all five of these dimensions.

Table 3.Challenges reported by respondents in different dimensions of EQ-5D.
Mobility Self-care Usual activities Pain/discomfort Anxiety/depression
n (%) n (%) n (%) n (%) n (%)
No problem 363 (90.75) 371 (92.75) 369 (92.25) 304 (76.0) 257 (64.25)
Slight problem 31 (7.75) 25 (6.25) 28 (7.0) 71 (17.75) 116 (29.0)
Moderate problem 4 (1.0) 4 (1.0) 3 (0.75) 18 (4.5) 22 (5.5)
Severe problem 2 (0.5) 0 (0.0) 0 (0.0) 7 (1.75) 5 (1.25)
Extreme problem 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0)

Abbreviations: EQ-5D, EuroQol Five Dimensions.

The factors associated with patients’ EQ-5D-5L utility scores extracted through a Tobit regression model are shown in Table 4. The model indicates that being aged 40–59 years (β = –0.037, p = 0.005), lacking awareness of the HPV vaccine (β = –0.032, p = 0.004), and having undergone radical hysterectomy (β = –0.036, p = 0.006) are significantly associated with lower utility scores, whereas having high monthly household income (β = 0.023, p = 0.033) is significantly associated with higher EQ-5D-5L utility scores.

Table 4.Results of Tobit regression model on EQ-5D five-level utility scores of respondents.
Variables Regression coefficient 95% CI p value
Age (Reference: 39 years)
40–59 years –0.037 –0.062~–0.011 0.005**
60 years –0.012 –0.049~0.024 0.502
Monthly household income ($US) (Reference: Low)
High 0.023 0.002~0.044 0.033*
Awareness of human papillomavirus (HPV) vaccine (Reference: aware)
Unaware –0.032 –0.053~–0.010 0.004**
Therapeutic regimen (Reference: LEEP)
Radical hysterectomy –0.036 –0.061~–0.010 0.006**
Concurrent chemoradiotherapy –0.026 –0.053~0.002 0.065
Surgery followed by adjuvant therapy –0.036 –0.075~0.003 0.072

* p < 0.05, ** p < 0.01.

Abbreviations: EQ-5D, EuroQol Five Dimensions; LEEP, loop electrosurgical excision procedure; CI, confidence interval.

4. Discussion

This cross-sectional study revealed a relatively high score of HRQoL in patients with cervical precancerous lesions and cervical cancer in Yunnan Province, China, with HRQoL significantly associated with patients’ socio-demographics, clinical characteristics, and awareness of cervical cancer prevention.

The mean EQ-5D-5L utility and VAS scores (0.939 and 80.84, respectively) among patients with cervical precancerous lesions and cervical cancer in the present study were higher than in India (0.64 and 67.6, respectively) [10], Indonesia (0.76 and 75.8, respectively) [8], and Ethiopia (0.77 and 65.7, respectively) [22], while utility scores were similar to those found in Italy (0.93) [23] and higher than in Taiwan (0.84) [12]. These differences may be related to the percentage of participants in each cancer stage: most patients in the present study were at the cervical precancerous lesion or earlier stages (67.25% in stages CIN and I), and CIN patients have little physical discomfort, few clinical symptoms, and do not need radical surgery or chemoradiotherapy, possibly explaining the overall comparatively high utility score. Moreover, the difference may also be partially attributed to the use of different HRQoL questionnaires: the use of different value sets would yield different utility scores [24], which could also explain differences in utility scores across studies.

Our study found that patients with cervical precursor lesions and cervical cancer aged 40–59 years had the lowest HRQoL utility and VAS scores. Previous research indicates that the incidence of cervical cancer is highest in those aged 40–59 years [18]. This finding thus underscores an urgent need to perform early screening, diagnosis, and treatment of cervical cancer, particularly in those aged 40–59 years, in order to improve their quality of life.

The present study indicated that level of education, marital status, and occupation were not associated with utility scores, a finding consistent with studies in India [10], but differing from other study results [11, 25] that have found that higher education levels and marital status are associated with higher HRQoL scores. The reasons for this discrepancy are currently unclear.

Our findings indicate that low household income is associated with lower HRQoL utility scores, a finding consistent with study results from Thailand [26]. This association of household income with HRQoL of patients with cervical precursor lesions and cervical cancer suggests wealthier patients may be more conscious of and have the financial ability to promote their health. Previous research [18] has demonstrated that patients with cervical cancer often have serious economic problems and that medical expenses contribute to the stress and negative feelings brought upon by the disease, therefore negatively impacting quality of life.

This study found that EQ-5D utility scores were higher in patients who were aware of the HPV vaccine. The awareness of HPV vaccine is low among women with cervical precancerous lesions and cervical cancer in Yunnan Province, with most women having never been screened. Andrea Giannini’s study suggested that the use of HPV vaccination did not improve the outcomes of the high-risk group [27]. So, it is necessary for the health providers and health-related departments to invest more resources including health and financial resources to expand the awareness and participation of national screening projects. It could be helpful to strengthen the awareness of HPV vaccine so that the targeted population can pay more attention to health. Patients can benefit from disease prevention and early-diagnosis and get higher HRQoL.

The association between HRQoL and stage of cervical precursor lesions and cervical cancer also merits further exploration. We found a decreasing trend in HRQoL as the disease progressed, consistent with findings in India [10] and Ghana [25]. However, one study found utility score in stage IV cancer was actually higher than that found in stages II and III [8]. This may be explained by the fact that late stage cervical cancer patients cannot be treated so treatment complications are avoided, leading to higher quality of life scores during this stage.

Different treatments led to different outcomes of HRQoL in this study, which was consistent with the results of Ma Li’s study [28]. The present study found that patients with cervical precursor lesions and cervical cancer undergoing radical hysterectomy were more likely to have lower utility scores. However, no significant difference in utility scores was found between surgical treatment and concurrent chemoradiotherapy in our study, in contrast to other studies [25, 29], including one in Brazil that found women who had undergone hysterectomy presented better QoL scores than those in the chemoradiotherapy treatment group [30]. Furthermore, in our study utility scores of patients undergoing cervical conization were higher than those undergoing surgical treatment and concurrent chemoradiotherapy.

Anxiety and depression commonly occur in cancer patients who are facing multiple biological and psychosocial stressors [31]. The EQ-5D health states of patients in our study showed anxiety/depression as the most frequently reported problem of respondents (35.75%, all levels inclusive), differing from findings in India [10] and Indonesia [8]. However, a survey of eight low- and middle-income countries in Southeast Asia revealed the proportion of patients with anxiety/depression was highest among cervical cancer patients [32], consistent with our findings. We also found that 24% of cervical precursor lesions and cervical cancer patients face pain/discomfort. However, problems of mobility, self-care, and engaging in usual daily activities were reported by less than 10% of participants, consistent with findings in Taiwan [12]. These results together indicate that cervical precursor lesions and cervical cancer patients have some degree of psychological and physical discomfort that can affect their quality of life. Thus, further efforts should be made to improve the management of anxiety/depression and pain/discomfort, and early assessments of anxiety, depression, and social support of women with gynecologic cancer should be conducted.

The following limitations of the present study should be noted: first, the sample size of this study is relatively small, especially for patients with stage IV cervical cancer, and all of the participants were selected from one hospital in Yunnan Province, China. Second, as this is a cross-sectional study, causal conclusions should be made with caution. Future studies should focus on longitudinal evaluation and assessment of HRQoL of patients at different stages of cervical cancer treatment.

5. Conclusions

In conclusion, the present study indicates that patients with cervical precancerous lesions and cervical cancer in Yunnan Province, China, had higher HRQoL than in other countries. The results suggest that future implementation of prevention and treatment guidelines in cervical cancer should focus on low-income patients, patients aged 40–59 years, and patients lacking knowledge about cervical cancer prevention.

Availability of Data and Materials

The datasets used during the current study are available from the corresponding author on reasonable request.

Author Contributions

MZ: study design and writing-original draft. MJZ: formal analysis and wrote the manuscript. LJH and CMZ: conducted the survey and collected data. SRD: performed the statistical analysis. ARG and LC contributed to data interpretation and the conceptualization of the study. LC revised the manuscript critically for important intellectual content. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. All authors contributed to editorial changes in the manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.

Ethics Approval and Consent to Participate

The Third Affiliated Hospital of Kunming Medical University Ethics Committee approved this study prior to commencement of research (KYCS202016), and all patients signed informed consent forms.

Acknowledgment

The authors thank all the participants and staff in the study for their valuable contributions.

Funding

The present study was supported by grant from Program for Innovative Research Team of Yunnan Province (202005AE160002); the Major Union Specific Project Foundation of Yunnan Provincial Science and Technology Department and Kunming Medical University (202201AY070001-167); the Scientific Research Fund Project of the Yunnan Provincial Department of Education (2022J0144) and the Research on Precise Prevention and Treatment of Gynecological Tumors and Application Promotion Innovation Team in Yunnan Province (202305AS350020).

Conflict of Interest

The authors declare no conflict of interest.

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