[Development of an asthenopia survey questionnaire for general surveys].

Objective: To design a visual fatigue questionnaire that can be used for population surveys. Methods: This was a cross-sectional study that involved three stages of subjects' recruitment. In the first stage, by convenience sampling, 150 individuals who complained of visual fatigue were selected at public places in Wenzhou City in May 2016. The 19-Item Asthenopia Survey Questionnaire (ASQ-19) was used to conduct the survey, and the questionnaire was adjusted. In the second stage, 200 outpatient participants were recruited from Wenzhou Medical University Affiliated Eye and Optometry Hospital from June 2016 to May 2017 and were divided into a visual fatigue group and a control group based on clinical diagnosis. The adjusted visual fatigue questionnaire was used for validation. In the third stage, 64 outpatient participants who met the inclusion criteria were continuously recruited from the Wenzhou Medical University Affiliated Eye and Optometry Hospital in July 2022. They were tested using the adjusted visual fatigue questionnaire and retested one week later. During the questionnaire adjustment stage, factor analysis and feedback were used to adjust the scoring method and items of the ASQ-19 questionnaire. The adjusted questionnaire was then analyzed for reliability, validity, accuracy, and subject acceptance during the validation and retest stages. Results: A total of 403 participants were included, and 456 questionnaires were distributed. Eventually, 432 valid questionnaires were collected from 379 participants, resulting in a valid response rate of 94.7%. During the questionnaire adjustment phase, there were 140 valid questionnaires from 140 participants consisting of 56 males and 84 females with an average age of (35.2±12.4) years. In the questionnaire validation phase, there were 186 valid questionnaires from 186 participants. Sixty-two participants had visual fatigue and 124 were controls. During the questionnaire retesting phase, 53 participants yielded 106 valid questionnaires. The group consisted of 20 males and 33 females with an average age of (22.8±4.9) years. After factor analysis, the symptom severity graded as none, mild, moderate, severe, and very severe was scored as 0, 1, 2, 3, and 4 points, respectively. The total score was 44, and the final questionnaire consisted of 11 items (numbered 1, 2, 3, 5, 6, 8, 10, 15, 17, 18, and 19). The 11-Item Asthenopia Survey Questionnaire (ASQ-11) had a Cronbach's α coefficient of 0.89, a split-half reliability of 0.82, and a test-retest Pearson correlation coefficient of 0.90 (P<0.001). The structural validity was 51.26%, and the discriminative validity was a t-value of 9.19 (P<0.001). On average, it took (2.82±0.43) minutes for participants to complete the questionnaire. The receiver operating characteristic curve had a cutoff value of 8.5, with a sensitivity of 74.19% and a specificity of 80.65%. Conclusion: The ASQ-11, with fewer items and a shorter completion time, is easy for participants to use and is suitable for screening or self-assessment of visual fatigue in the general population. Additionally, it is convenient for clinical and epidemiological studies related to visual fatigue.

[A new valid and reliable questionnaire of asthenopia: development and evaluation].

Objective: To design a valid and reliable questionnaire to determine various causes of asthenopia for use by clinicians and researchers. Methods: The items to be included in the first version questionnaire were selected based on its definition and literature review. The second version was improved from patients interviews and the Delphi method. In this phase, 17 experts, 97 patients [47 males, 50 females, age (34.42±14.62) years old] with asthenopia and 20 controls [9 males, 11 females, age (33.50±7.31) years old] were involved to generated item list. In the Validation phase, we conducted two round interview through 275 asthenopia patients [97 males,186 females,age (34.42±14.62) years old] and 49 controls [17 males,32 females,age (35.79±8.88) years old]for item reduction and questionnaire validity and reliability assessment. Exploratory factor analysis was performed to reduce items and derive the subscale that each item belongs to. Internal consistency was calculated for all resulting subscales, using Cronbach's α coefficient, spilt-half reliability and repeatability. The repeatability of the questionnaire was measured by Pearson correlation analysis. Results: Our initial questionnaire contained 52 symptoms and 2 self-evaluation questions. After the item reduction and assessment, 19 items were selected and classified into three domains through factor analysis. Cronbach α for the three subscales of this version was between 0.79 and 0.85, while for the complete questionnaire it was 0.90, with a spilt-half reliability of 0.80. Factor analysis showed the three components had eigenvalues>3 and these explained 54.3% of the variance. Conclusions: The 19-item asthenopia questionnaire has acceptable psychometric properties, making it a valid and reliable tool for ophthalmologists and optometrists to evaluate asthenopia as well as to seek causes. It has the potential to be used in clinical trials and outcome research. (Chin J Ophthalmol, 2021, 57:284-291).

[Factors affecting the participation rates in epidemiologic surveys].

Objective: The aim of this study was to investigate the response in health-related epidemiological investigation among Chinese population aged 15 and over. We analyzed the specific causes of non-response, and explored the effective ways to improve the response rate, so as to provide reference for future epidemiological studies of this kind. Methods: Two modes of studies regarding the prevalence of important cardiovascular diseases were used in Chongqing, during the 12(th) Five-Year Plan period in oder to find out the cause related to non-response. Intervention programs were carried out to evaluate the effects. Results: When using the concentrated mode (CM), the completion rate to the questionnaires was only 20.00% in the pre-investigation, with the response rate as 13.48%. In the deconcentrated mode (DM), the completion rate was 31.16%, with the response rate as 25.19%. After a series of incentives provided to both the respondents and the project-related core staff in the two modes, response rates of the two modes increased to the expected 60%. Conclusions: CM appeared having advantages on quality control, but was more time consuming, with higher cost, and without effective follow-up measures to improve the response rate. However, DM had the advantages on controlling the cost and could increase the response rate through making advanced appointment with the households but quality control remained difficult. Two key points should be strengthened to improve the response rates, which including: Precisely finding out the research objects and providing incentives to the respondents to attract their interests of participating in the investigation.