Assessment of the correlation between KAP scores regarding sugar-sweetened beverage consumption and hyperuricemia amongst Chinese young adults

Background The prevalence of hyperuricemia in China has been consistently increasing, particularly among the younger generation. The excessive consumption of sugar-sweetened beverages is associated with hyperuricemia. This study examined the knowledge, attitudes, and practices (KAP) of Chinese young adults regarding sugar-sweetened beverage consumption and the correlation with hyperuricemia. Methods This cross-sectional investigation was conducted from June 28th, 2023, to July 21st, 2023, and enrolled Chinese young adults. Demographics and KAP were evaluated using a questionnaire (Cronbach’s α = 0.787). Factors influencing KAP scores were analyzed using multivariable analyses. Results A total of 1288 valid questionnaires were analyzed. The median knowledge, attitude, and practice scores were 16 (12,19)/22, 22 (20,24)/30, and 27.5 (23,31.75)/40. The multivariable analysis showed that bachelor’s/associate education (OR = 1.912, 95%CI: 1.128–3.239), white collar/employee (OR = 0.147, 95%CI: 0.105–0.206), educator (OR = 0.300, 95%CI: 0.174–0.518), healthcare worker (OR = 0.277, 95%CI: 0.188–0.407), not suffering from hyperuricemia (OR = 0.386, 95%CI: 0.253–0.590), and not having gout (OR = 0.456, 95%CI: 0.282–0.736) were independently associated with knowledge. Age 26–30 (OR = 1.470, 95%CI: 1.052–2.052), age 31–35 (OR = 1.489, 95%CI: 1.097–2.022), age 36–40 (OR = 0.328, 95%CI: 1.010–1.746), age 41–44 (OR = 1.548, 95%CI: 1.091–2.198), and not having hyperuricemia (OR = 0.512, 95%CI: 0.345–0.760) were independently associated with attitude. White collar/employee (OR = 0.386, 95%CI: 0.285–0.521), educator (OR = 0.534, 95%CI: 0.317–0.899), healthcare worker (OR = 0.341, 95%CI: 0.236–0.493), having siblings (OR = 0.725, 95%CI: 0.573–0.917), and not suffering from hyperuricemia (OR = 0.442, 95%CI: 0.296–0.659), were independently associated with practice. Conclusion Chinese young adults display moderate KAP toward sugar-sweetened beverages. Notably, an association was observed between hyperuricemia and each KAP dimension. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-024-18513-x.


Background
Hyperuricemia refers to an elevated concentration of uric acid in the blood (i.e., blood uric acid ≥ 420 µmol/L), potentially leading to gout and nephrolithiasis [1,2].Hyperuricemia results from the interplay of increased uric acid production (e.g., purine-rich diet, enzyme deficiencies, and cell breakdown/turnover) and excretion (e.g., chronic kidney disease, acidosis, and medications) [2,3].In recent years, hyperuricemia has emerged as a significant global public health concern since it is estimated that 21% of the general population and 25% of hospitalized patients have asymptomatic hyperuricemia [4,5].The prevalence of hyperuricemia has been steadily increasing in China, particularly among the younger generation [6].Fructose is increasingly recognized as an underlying cause of hyperuricemia [7,8].Indeed, fructose metabolism generates uric acid salts as byproducts, contributing to hyperuricemia [7][8][9].Moreover, such metabolism perturbations can give rise to other metabolic disorders, including dyslipidemia and hyperglycemia, which are also public health issues [10,11].Sugar-sweetened beverages, replete with substantial fructose content, have thus emerged as pivotal factors linked to hyperuricemia [12,13].
Drinking or not sweetened beverages is part of everyday life habits, and proper knowledge of the potential harms is necessary to adopt the proper habits.A knowledge, attitude, and practice (KAP) survey is a structured survey methodology that was traditionally extensively used in sociology and psychology, and nowadays, it is more and more used in the medical domain.KAP surveys allow the identification of knowledge gaps, misconceptions, and misunderstandings that constitute barriers to correctly implementing a specific subject in a specific population [14,15].KAP can provide elementary information for designing and refining health education and disease management strategies.While KAP studies have already explored hyperuricemia [16] and one study in Mexico examined sugar-sweetened beverage consumption and the risk of hyperuricemia [12], no data is available regarding the relationship between the KAP pertaining to sugarsweetened beverage consumption and the correlation with hyperuricemia in Chinese young adults.
Therefore, this study aimed to examine the KAP toward sugar-sweetened beverages and its correlation with hyperuricemia among Chinese young adults.The results could lay the groundwork for more tailored health education initiatives.

Study design and participants
This cross-sectional investigation was conducted from June 28th, 2023, to July 21st, 2023, and enrolled Chinese young adults.The study was approved by the Ethics Committee of Peking Union Medical College Hospital affiliated to the Chinese Academy of Medical Sciences (approval #I-23ZM0019).Written informed consent was obtained from all participants.
The inclusion criteria were (1) voluntary participation and (2) individuals aged 14 to 44 years.The exclusion criteria were (1) age mismatch and (2) inability to complete the electronic questionnaire.The study was conducted by convenient sampling.The participants were recruited from the gout clinic of Peking Union Medical College Hospital, the public WeChat account of the gout clinic, and the medical examination center of hospitals in Shanghai, Jiangsu, Guangdong, Sichuan, Xinjiang, Guizhou, Hebei, and other cities.The questionnaire was developed using the Wenjuanxing (Questionnaire Star https://www.wjx.cn/app/survey.aspx) app.The participants accessed the questionnaire and responded to it via a QR code.

Questionnaire development
The questionnaire design adhered to the pertinent guidelines and literature [12,[17][18][19][20][21].After the preliminary questionnaire was finalized, two small-scale preexperiments were conducted.The first pre-experiment was in 51 participants and revealed a Cronbach's α of 0.680.According to the results of the first pre-experiment, the questionnaire was fine-tuned regarding the wording of attitude and practice options.The second pre-experiment was performed in 40 participants and revealed a Cronbach's α of 0.787.
The questionnaire encompassed four sections: demographic data, knowledge dimension, attitude dimension, and practice dimension.For a detailed questionnaire, please refer to supplementary file.The knowledge dimension comprises 14 questions within two categories: 12 single-choice questions scored 1 for correct answers and 0 for incorrect or unclear responses and two multiple-choice questions with each correct option awarded 1 point.The knowledge component scores ranged from 0 to 22.The attitude dimension had seven questions, of which six were scored using a 5-point Likert scale, ranging from "extremely positive" (5 points) to "extremely negative" (1 point), yielding scores between 6 and 30.The practice dimension comprised 11 questions, with nine being scoring items and scores spanning 7 to 40.Likert scales provide a convenient way to measure unobservable constructs, and published tutorials detailing the process of their development have been highly influential [22,23].

Statistical analysis
The distribution of the scores within each dimension was examined for normal distribution.Non-normally distributed data were presented using median, 25th percentile, and 75th percentile and analyzed using the Wilcoxon-Mann-Whitney test (comparison of two groups) or the Kruskal-Wallis analysis of variance (comparison of more than two groups).The correlation between scores across dimensions was assessed using the Spearman correlation coefficient.The results were categorized based on the median scores within each dimension.The variables with P < 0.10 in the univariable analyses were included in the multivariable regression analyses.Two-sided P-values < 0.05 were considered statistically significant.

Characteristics of the study population
A total of 1288 valid questionnaires were collected and analyzed.Most participants were between 19 and 40 years of age (82.3%).The gender distribution was predominantly female (56.6%).The educational levels of participants were predominantly with a bachelor's degree or above (93.4%).Among the participants, 15.8% were students, 37.4% were white-collar/company employees, 5.8% were educators, and 27.1% were healthcare workers.Most participants had siblings (53.4%).Body weight distribution was mainly categorized as normal (46.7%) and overweight (29.5%).The study included 253 participants with hyperuricemia, accounting for 19.2%, and 183 participants with gout, accounting for 14.2% (Table 1).

Knowledge, attitudes, and practices scores
The average knowledge score was 16 (12,19) out of a total of 22 points (72.7%) (Table 1).Among the participants, 72.7% had heard of hyperuricemia, 47.0% were aware of the triggering factors of hyperuricemia, 51.5% were aware of the risk factors of hyperuricemia, 59.2% were aware that the consumption of sweetened beverages was associated with hyperuricemia, 46.8% were aware that fructose was responsible for hyperuricemia, 47.1% knew that purine levels in sweetened beverages were not related to hyperuricemia, 71.8% knew that hyperuricemia was related to gout, 56.0% were aware that hyperuricemia increases the risk of diabetes, 65.2% knew that hyperuricemia was associated with kidney diseases, and 68.7% were familiar with the sugar content of beverages (Tables 2 and 3).
The attitude score was 22 (20,24) out of 30 points (73.3%).The distribution of responses for each item in the attitude section is presented in Tables 4 and 5.The mean practice score was 27.5 (23, 31.75)out of 40 points (68.75%).The distribution of responses for each item in the practice section is provided in Table 6.
Significant differences were found in attitude and practice scores across different age groups (P < 0.001).There were statistically significant differences in knowledge and practice scores across varying levels of education (P < 0.05), with higher education correlating with higher knowledge scores.Different occupational categories yielded statistically significant variations in knowledge, attitude, and practice scores (P < 0.001), with healthcare workers having the highest scores across dimensions.Single children demonstrated higher knowledge and practice levels than children with siblings (P < 0.05).Distinct weight categories also exhibited statistically significant differences in KAP scores (P < 0.05), with the overweight group displaying higher knowledge and attitude scores.Participants with hyperuricemia scored significantly higher in knowledge, attitudes, and practices than those without gout (P < 0.001).Participants with gout also achieved significantly higher scores in all dimensions than those without gout (P < 0.001).

Correlations
The correlation analysis reveals that the knowledge scores were positively correlated with the attitude (r = 0.326, P < 0.001) and practice (r = 0.485, P = 0.001) scores, while the attitude scores were positively correlated with the practice scores (r = 0.448, P < 0.001) (Table 7).

Discussion
The prevalence of hyperuricemia in China has been consistently increasing, particularly among the younger generation [6].The excessive consumption of sugar-sweetened beverages is associated with hyperuricemia [12,13].This study examined the KAP of Chinese young adults regarding sugar-sweetened beverage consumption and the correlation with hyperuricemia.The results suggest that Chinese young adults display moderate KAP toward sugar-sweetened beverages.Notably, the participants with hyperuricemia exhibited significantly higher KAP scores than their counterparts without hyperuricemia.The results suggest the influence of passive learning or patient education among young adults.Furthermore, a proper KAP toward sugar-sweetened is necessary to prevent hyperuricemia and subsequent complications.It calls for subsequent efforts to enhance proactive engagement and education on relevant content.
The present study revealed moderate KAP toward sugar-sweetened beverages among Chinese young adults (18-44 years).The participants were mostly female, highly educated, workers, and with a normal body weight.In contrast, a study from Malaysia showed good knowledge, moderate attitude, and poor practice toward sugar-sweetened beverages among adolescents; higher body fat was associated with a more favorable attitude, while being female, having a low income, being 16-17 years old, and being from urban areas were associated with better KAP [24].Encouragingly, in the present study, half of the participants were understanding the predisposing factors of hyperuricemia, However, it is worth noting that a small proportion of participants did not know whether sugar-sweetened beverage intake is associated with hyperuricemia.This knowledge gap may be attributed, in part, to the inadequate or unclear delivery of health-related information.The observed weak correlation between knowledge and attitudes could be attributed to the undeniable allure of sugar-sweetened beverages, which, due to their delightful taste, may  overshadow concerns regarding their adverse impact on health.In addition, sugar-sweetened beverages potentially have addictive effects [25], and such addiction could preclude individuals from seeing harm in such beverages.Still, having a proper practice toward sugar-sweetened beverages is important as the consumption of these beverages over the long-term will have detrimental effects on health, including hyperuricemia, dyslipidemia, and hyperglycemia and their complications such as chronic kidney diseases, type 2 diabetes mellitus, and cardiovascular diseases [10,11].The female gender was not associated with the KAP scores.Indeed, females are generally more concerned about body appearance [26][27][28], but older age was independently associated with higher attitude scores, as supported by an Australian study [26].In addition, before menopause, women are protected by estrogens against the development of hyperuricemia and other metabolic disorders [29][30][31], possibly making younger women adopt a more casual attitude toward   hyperuricemia.As individuals age, they can become more concerned with their health.
In the present study, a higher socioeconomic status was associated with higher KAP scores.A higher socioeconomic status has been associated with higher health literacy [32].Socioeconomic status is also a major contributor to the knowledge about nutrition [33,34].It should be emphasized that the majority of the participants were highly educated (56.8% with a bachelor's degree; 36.6% with postgraduate and above studies).Moreover, around 32.9% of the participants were healthcare workers (27.1%) and educators (5.8%).Although the present study showed that a higher socioeconomic status was associated with higher KAP scores, the study population was biased toward a population with more favorable health literacy, which probably overestimated the results.Nevertheless, a major factor to consider is that unhealthy foods are inexpensive, while healthy foods are expensive; therefore, a lower socioeconomic status can be associated with poorer practice, but not always as per the individual's choice [35].Furthermore, all three  KAP dimensions were positively correlated to each other, meaning that improving knowledge should also improve attitude and practice.Indeed, according to the KAP theory, knowledge is the basis for practice, while attitude is the force driving practice [14,15].Hence, stakeholders should design and implement educational interventions to improve the knowledge of Chinese young adults about sugar-sweetened beverages.Such educational programs should include the types of sugar-sweetened beverages, the risks associated with sugar-sweetened beverages, and how to adopt appropriate lifestyle habits to avoid sugar-sweetened beverages.The programs should target everyone in the society.To do so, the programs should be available on every platform available, including the Internet, TV, radio, schools, hospitals, and workplaces.It could take the form of brief information about general knowledge and good lifestyle habits, with an invitation to consult healthcare providers.The present study also has limitations.The frequencies of gout were high because many participants were enrolled at a gout clinic.The information collected via the questionnaire in the present study is online and self-reported; thus, the results might be subject to inaccuracy.The cross-sectional study prevented any causality inference.In addition, the results were from a single point in time, but they could serve as a historical control to examine the impact of future interventions.The questionnaire was designed by local investigators and had to reflect the local reality of the participants.Furthermore, the questionnaire could be influenced by local practices, guidelines, and policies.All KAP studies are at risk of social desirability bias.It entails that a participant could be tempted to answer what they  [36,37].Considering that the attitude and practice levels were about the same as the knowledge level, that bias is possible.

Conclusion
In conclusion, Chinese young adults display moderate KAP toward sugar-sweetened beverages.Notably, an association was observed between hyperuricemia and each KAP dimension.The consumption of sugarsweetened beverages is part of bad lifestyle habits.The results should guide the design of educational programs to improve the knowledge of the health risks associated with sugar-sweetened beverages and encourage individuals to control their consumption of sugar-sweetened beverages.

Table 1
Baseline participant information and scores in KAP dimensions

Table 2
Responses to items in the participant knowledge dimension

Table 3
Responses to items in the participant knowledge dimension (Multiple choices allowed)

Table 4
Responses to the items in the participant attitude dimension

Table 5
Responses to the items in the participant attitude dimension (Multiple choices allowed) a.

Table 6
Responses to items in the participant practice dimension

Table 7
Correlation of scores among KAP dimensions

Table 8
Logistic regression analysis of the knowledge dimension

Table 9
Logistic regression analysis of the attitude dimension

Table 10
Logistic regression analysis of the Practice dimension