High-income Individuals Research Articles

Income level is associated with differences in primary and secondary stroke prevention in China

IntroductionThe aim of this study was to assess differences in the effects of income level on the primary and secondary prevention of stroke in the Chinese population.Material and methodsThis was a population-based study using data from a China Kadoorie Biobank survey that began in 2004 in 10 geographical regions. Community residents (n = 512,715) aged 30–79 years were recruited. Stroke was determined by the self-reporting of a doctor’s diagnosis, and participants with a high risk of stroke were identified using the model developed in the Prediction for ASCVD Risk in China study.ResultsThe final numbers of people included in this study were 8,884 with stroke and 218,972 with a high risk of stroke. The participants’ income level was positively associated with high levels of physical activity and the consumption of a healthy diet, but negatively associated with the control of alcohol consumption (all p < 0.05). In addition, positive associations were observed between the control of smoking and the use of antiplatelet and antihypertensive medication for primary prevention (all p < 0.05), but there was a negative association with the control of blood pressure (p < 0.001).ConclusionsLow-income individuals were less likely to control smoking and their diet and use preventive medications, while high-income individuals were less likely to control their alcohol consumption and blood pressure. Moreover, medication use was low for both primary and secondary prevention in high-income individuals.

Impact of household income on acute decompensated heart failure outcomes: national representative sample

Abstract Background The clinical outcomes of ADHF have been extensively studied; however, the impact of household income still needs to be better understood. This study aimed to elucidate the relationship between household income and outcomes in patients with ADHF. Methods This national retrospective cohort study used data from the 2016-2020 National Inpatient Database, focusing on patients admitted with ADHF. We stratified the cohort into two groups based on the median household income: below $50k and above $86k. The selection criteria included patients aged ≥ 18 years diagnosed with ADHF, excluding those with incomplete income data. The primary outcome was all-cause inpatient mortality, with a length of stay (LOS) and total hospital charges as secondary outcomes. Statistical analysis employed logistic and linear regressions adjusted for confounders, with the significance level set at p<0.05. We accounted for missing data using multiple imputation analyses. Results 1,123,024 patients admitted with ADHF met the inclusion criteria. We divided the groups into two cohorts: low-income (64%, N=718,735) and high-income (36%, N=404,289). No increase in mortality was identified (adjusted aOR: 1.05; p = 0.212). The study revealed that high-income patients had marginally longer average LOS (5.62 days vs. 5.35 days, p < 0.0001) and higher hospital charges ($62,512.46 vs. $49,440.14, p < 0.0001) compared to their low-income counterparts. Low-income patients exhibited a higher prevalence of hypertension and obesity, whereas high-income individuals were more affected by atrial fibrillation and hyperlipidemia (hypertension and obesity, p < 0.0001; atrial fibrillation, p < 0.0001). Conclusion In this national retrospective cohort of patients admitted for ADHF over five years, income did not affect mortality. However, LOS and total charges were affected by the median household income.

Urban Air Mobility Passengers’ Profiling: Evidence from Milan Airports, Italy

Urban air mobility (UAM) is expected to offer new travel options for passengers to and from airports in the near future, despite uncertainties associated with regulatory issues, environmental concerns, and societal impacts. This paper analyzes the socioeconomic and behavioral factors that could influence users’ modal choices (including UAM services) for accessing and egressing airports. Using revealed and stated preference data collected at Milan airports (Italy), mixed logit and hybrid choice modeling specifications are estimated and compared with profile potential UAM passengers. Our findings suggest that the level of service, socioeconomic factors, and trip-related variables explain passengers’ choices better than latent traits such as fear of flying, propensity for technological advances, and expectations about the safety of UAM services. In other words, the additional complexity of hybrid choice modeling is not justified by the slight gain in likelihood compared with the estimated mixed logit model. The results also indicate that high-income individuals traveling for business purposes are the most likely demand segment to use UAM services, at least initially. Moreover, highly educated individuals and employees who have their travel expenses reimbursed for work trips are less likely to choose UAM services for airport access or egress, preferring traditional ground taxis.

Zakat, Non-state Welfare Provision and Redistribution in Times of Crisis: Evidence from the Covid-19 Pandemic

AbstractAround the world, the Covid-19 pandemic drew attention to state social protection and its limitations. Less attention has been paid to what is likely the world’s largest system of predominantly non-state welfare provision: zakat, an annual Islamic obligatory payment of a percentage of productive wealth to the poor and other eligible recipients. We explore how states and citizens engage with zakat during crises through a case study of the Covid-19 pandemic in Pakistan, Egypt, and Morocco, drawing on novel and nationally representative survey data of 5484 respondents across the three countries. While we may expect that citizens may be less motivated to pay zakat in times of personal economic hardship, we find that a large majority of the general population and of zakat contributors perceives zakat as particularly important in the Covid context. We show that while zakat may play an important role in non-state social welfare provision supplementing state social protection and redistribution in times of crisis, state attempts to harness it are often ineffective. However, while we find that higher income individuals are more likely to pay zakat, even only among those that are eligible, there are potentially negative equity impacts given the flat rate at which it is levied and the fact that people tend to give through personal networks.

Program Implementation of the Alternative Learning System

Educational stakeholders can enhance the effectiveness and impact of the Alternative Learning System (ALS) programs in providing educational opportunities for marginalized and underserved populations. It is on this premise that this study aimed to evaluate the extent of the ALS program’s implementation in a large school division within Central Philippines for the 2021-2022 academic year. Data needed for this descriptive study was taken from 51 ALS teacher-respondents using a self-made survey questionnaire that passed the rigorous test of validity and reliability. The study’s focus on program implementation revealed that the Assessment of Learning component exhibited a very high extent of implementation, as evidenced by mean scores surpassing 4.5 across all assessed aspects. Similarly, Learning Resources demonstrated a high level of implementation, with the majority of mean scores exceeding 3.5. However, implementing the Learning Environment aspect was deemed moderate, signifying potential areas for enhancement. Regardless of age, both younger and older educators experienced robust implementation in the Assessment of Learning and Learning Resources aspects. Similarly, male and female teachers encountered high implementation levels in these dimensions. While family income did not significantly impact the Assessment of Learning and Learning Resources domains, it did influence the Learning Environment aspect. Specifically, higher-income individuals benefited from a more extensive implementation of the Learning Environment. The study’s outcomes have important implications for designing future capability-building plans and enhancing the educational experience within the ALS program. Keywords: Alternative Learning System, ALS Program Implementation, ALS Teachers, ALS Community Learning Center, ALS Learning Resources, ALS Assessments Negros Occidental

Beyond Basics: The Dichotomy of Actual and Perceived Consumer Needs

Consumer behavior, particularly in distinguishing between actual and perceived needs, reveals complex dynamics that shape spending patterns. This study, titled “Beyond Basics: The Dichotomy of Actual and Perceived Consumer Needs,” examines how modern consumerism often blurs the lines between essential and discretionary expenditures. While actual needs—such as food, shelter, and clothing—are vital for survival, they often receive less financial attention compared to perceived needs, which are closely tied to social status, identity, and recognition. Using Maslow’s Hierarchy of Needs as a theoretical framework, this research explores the psychological and social factors influencing this discrepancy. The study employs a quantitative approach, collecting data from a diverse sample of consumers across different socio-economic backgrounds. Through hypothesis testing, including t-tests and regression analysis, the research investigates the significant differences in spending on actual versus perceived needs and the impact of social status on these spending priorities. The findings indicate that consumers, on average, allocate significantly more financial resources to perceived needs, with social status serving as a stronger predictor of this behavior than income level. This trend is particularly evident among higher-income individuals, but it is pervasive across all income groups, reflecting the deep-rooted influence of societal norms and marketing strategies on consumer choices. The study concludes by discussing the implications for marketers, policymakers, and consumer education. It suggests that promoting financial literacy, developing sustainable marketing strategies, and encouraging a shift towards prioritizing actual needs could lead to more balanced and sustainable consumer habits. By addressing the psychological and social drivers of consumption, it may be possible to mitigate the adverse effects of excessive spending on perceived needs and foster healthier, more sustainable consumption patterns.

Effect of Economic Policies on Income Inequality: A Comparative Study of Switzerland and Bolivia

Purpose: The aim of the study was to examine the effect of economic policies on income inequality: a comparative study of Switzerland and Bolivia. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Switzerland, with its advanced economy, implements progressive tax policies, robust social welfare programs, and equitable education systems, contributing to relatively low income inequality. In contrast, Bolivia, a developing nation, faces challenges in reducing income inequality due to less effective economic policies, limited social safety nets, and a larger informal sector. The study underscores that while Switzerland's policies effectively mitigate income disparities, Bolivia's efforts are hindered by structural economic issues and policy limitations. Unique Contribution to Theory, Practice and Policy: The Kuznets curve theory, the human capital theory & the social stratification theory may be used to anchor future studies of climate change on risk management practices in agriculture in Switzerland. From a practical perspective, the study provides actionable insights for improving the design and implementation of economic policies. The study offers several policy recommendations for both developed and developing economies. Policymakers in Switzerland should consider revising tax policies to address the increased burden on higher-income individuals and improve the overall equity of the system.

Infection patterns of scabies and tinea between inland and resettled indigenous Negrito communities in Peninsular Malaysia.

Skin infections cause significant health burden and affect underserved communities such as the indigenous Negrito communities disproportionately. There is only one study that has addressed skin infections among the Negrito communities, which is the smallest and most isolated indigenous tribe in Peninsular Malaysia, with approximately 6,500 individuals remaining in northern and central Peninsular Malaysia. This study, which aims to update the infection patterns of scabies and tinea among the Negrito communities, recruited 361 participants from eight villages representing all six Negrito subtribes. The results revealed an overall skin infection prevalence of 35.6%, with scabies (11.7%), tinea versicolor (11.3%), and tinea imbricata (7.5%) as major infections, with no co-infection. Notably, infection rates were significantly higher in resettled villages (55.2%) compared to inland villages (24.8%). Scabies and tinea versicolor were more prevalent in resettled villages (21.2% and 23.6%, respectively) than inland villages (6.4% and 4.7%, respectively), while tinea imbricata was more common in inland villages (9.4% vs 3.9%). Furthermore, there exist predisposition of scabies among Kensiu. High prevalence of tinea imbricata was observed among the inland Bateq while prevalence of tinea versicolor was high among the resettled Bateq. Risk analysis revealed specific associations: scabies with Kensiu subtribe (P = 0.002), high income (P = 0.001) and underweight individuals (P = 0.009); tinea versicolor with Bateq subtribe (P = 0.003), resettled villagers (P < 0.001), males (P = 0.040), and overweight/obese individuals (P = 0.015); and tinea imbricata with Bateq (P = 0.011) and smokers (P = 0.004). These findings highlight a complex interplay between environment and lifestyle in skin infection prevalence. Addressing these infections requires targeted interventions, including regular medical care in inland villages and socio-economic support for resettled communities, considering the distinct predispositions in different village types.

Flexibility justice: Exploring the relationship between electrical vehicle charging behaviors, demand flexibility and psychological factors

The adoption of electric vehicles (EVs) is transforming the landscape of energy consumption. While the technical and economic dimensions of EV adoption are increasingly well understood, the aspect of justice in demand flexibility remains underexplored. This study examines the complex relationship between flexibility in EV charging behaviors and the influence of socio-psychological and justice factors. We explore a range of demographic and social-psychological variables including charging anxiety, environmental concerns, perceived cost-saving perception, perceived privacy, and trust in utility providers. Our results reveal that these variables positively influence the changes in charging habits, including time-shifting and load-reduction. This study also uncovers disparities in charging behavior adjustments across various demographics groups. For instance, White respondents are more likely to charge their EVs during off-peak hours than their non-White counterparts and homeowners show a greater intention to reduce EV charging load during peak hours compared to renters. Additionally, high-income individuals exhibit a stronger willingness to shift charging times to off-peak, with White respondents within the high-income group being the most likely to reduce the amount of charging load during peak hours. Conversely, low-income White respondents are less inclined to make such adjustments. These disparities are likely tied to socioeconomic status, as more vulnerable groups often face greater constraints in adjusting their schedules. Therefore, it is imperative that policies prioritize flexibility justice by addressing the specific needs and behaviors of vulnerable groups, aiming to mitigate the additional burdens resulting from their limited flexibility.

Assessing Customer Satisfaction towards Electric Vehicle in Mysore Using the KANO Model

The study is entrenched in the recognition that the automotive industry is undergoing a significant transformation, with EVs emerging as a vital solution to reduce carbon emissions and foster sustainable transportation. Understanding customer satisfaction in this context is crucial for manufacturers and policymakers to support the broader adoption of EVs. The research problem is centered on the limited understanding of how specific EV features impact customer satisfaction, particularly in emerging markets like Mysore. This gap in knowledge poses a challenge for manufacturers aiming to align their products with customer expectations and for policymakers promoting sustainable transportation. The study addresses this by applying the Kano Model, a framework that categorizes product attributes into different needs—basic, performance, excitement, indifferent, and reverse—based on their impact on customer satisfaction. The research methodology involves a descriptive study based on a survey of 150 respondents from Mysore. The data were collected through primary and secondary sources adopting a convenient sampling method. The analysis for the study is done by simple percentage method. The results shows that the majority of respondents are young, educated, and earn less than Rs. 50,000 per month, indicating that EV adoption is not limited to higher-income individuals. There is a strong preference for two-wheeled EVs, with most respondents having used their EVs for less than a year, reflecting a growing interest in the market. The Kano Model analysis shows varying levels of satisfaction across different EV attributes. For instance, respondents expressed high satisfaction with the reliability, safety features, and battery life of their EVs, but there were concerns about the availability of charging stations and the maintenance costs. The study also identifies performance attributes, such as EV range and cost savings on fuel, as significant factors driving customer satisfaction. Excitement needs, including advanced technology features and the design of EVs, also play a crucial role in enhancing customer satisfaction. However, certain indifferent needs, such as the color options and brand of the EV, were found to have minimal impact on customer satisfaction.

Cross-class solidarity in times of crisis: the economic impact of the COVID-19 pandemic on support for redistribution

This study investigates how the economic crisis associated with the COVID-19 pandemic impacted support for social assistance in Germany. We formulate our expectations drawing from the classical political economy literature on self-interest and the burgeoning research on the role of solidarity. On the one hand, we hypothesize that only low-income individuals impacted economically by COVID-19, who can benefit from social assistance, will support its expansion. On the other hand, we expect higher-income individuals affected economically by COVID-19 to be more supportive of social assistance, even though they do not benefit from it, and less likely to consider welfare recipients ‘undeserving’ compared to higher-income individuals not economically affected by the pandemic. We argue that first-hand crisis experiences update people’s beliefs about how luck impacts one’s economic situation in the presence of an exogenous shock. We combine observational and experimental data from an original survey collected in Germany in April 2021 to test our expectations. On average, low-income respondents appear to be the most vigorous supporters of social assistance, but their support is not conditional on their experience of the COVID-19 pandemic. Instead, we find that the support for more social assistance among affluent individuals depends on the economic impact of the pandemic. We experimentally manipulated the deservingness of welfare recipients and found that better-off respondents impacted by the pandemic were less likely to penalize even the most ‘undeserving’ welfare beneficiaries. We suggest that solidarity between classes in hard times may occur through a convergence of the deservingness perception among individuals. The article has broader implications for studying the effect of crises on solidarity and the conditional nature of class-based explanations for support for different welfare policies.

The Relationship Between Electronic Word-of-Mouth Marketing and Consumption Types: The Moderating Role of Income

eWOM, a potent communication tool in today's digital age, is extensively utilized by consumers to evaluate products and services, share their experiences, and offer recommendations. Consumers now openly express their opinions about products and services through eWOM on online platforms such as social media, forums, and review websites. Therefore, understanding the impact of eWOM on consumer behaviour holds critical significance in shaping marketing strategies. This article examines how eWOM is specifically associated with conspicuous consumption and symbolic consumption and how these relationships are moderated by income levels. This study investigated the relationship between electronic word-of-mouth marketing (eWOM) and conspicuous consumption and symbolic consumption while considering the moderating role of income. A survey was conducted among 455 participants in the Karabük province, and the data were analyzed using Amos 20 and SPSS Process 21 software. The results confirm that eWOM influences both types of consumption. However, the moderating effects of income differ in this context. Income does not play a moderating role in symbolic consumption, meaning that consumers' interest in symbolic products or services remains unaffected by income levels. On the other hand, high-income individuals are observed to pay more attention to eWOM and prefer conspicuous consumption more frequently.

Navigating the personal carbon inclusion scheme: An evolutionary game theory approach to low-carbon behaviors among socio-economic groups

In response to the challenges posed by climate change, China has launched the Personal Carbon Inclusion (PCI) scheme to encourage individuals to transition towards low-carbon lifestyles. This study investigates the behaviors of participants within the PCI scheme using a tripartite evolutionary game model, encompassing high-income and low-income individuals, as well as the PCI platform itself. The research analyzes participants' strategies, examines the evolutionary stability of different strategies, and assesses the robustness of equilibrium points within the game dynamics. Key findings reveal: (1) High-income participants tend to be less willing to adopt low-carbon behaviors compared to low-income participants. (2) The PCI platform displays limited proactive engagement in promoting low-carbon policies. (3) Factors, particularly the cost and pricing mechanisms of low-carbon actions, significantly impact the evolutionary progression of the system. Moreover, practical recommendations are provided to enhance the effectiveness of PCI schemes.

The influence of selective mortality on poverty rates in later life: evidence from a Swedish cohort born in 1926.

Mortality influences the composition of the surviving population. Higher mortality among low-income individuals than high-income individuals may result in lower poverty rates in the surviving population. The objective of this study was to describe poverty rates for both survivors and deceased individuals in a cohort born in 1926. We used Swedish total population data on the 1926 birth cohort (n = 83,382), calculating annual poverty rates from 1991 to 2016. We compared poverty rates for the entire cohort, those who died the next year, and those who survived for 5, 10, or 20+ years, measuring the impact of selective mortality as the differences in poverty rates between the cohort and these subgroups. Individuals who died the following year had higher poverty rates than the cohort at ages 65-90. Conversely, individuals who survived 5, 10, or 20+ years had lower poverty rates, with relatively small differences (1.1% to 6.9% lower) for survivors of 5 years or longer, and larger differences (26.4% to 32.8% lower) for those who survived 20+ years. Despite differences in mortality rates by income, selective mortality had only a modest impact on poverty rates. If life expectancy rises for all, and a more diverse population reaches old age, our findings indicate a potential slight increase in poverty rates due to reduced mortality as a selective factor. These findings emphasise the need to consider mortality selection when addressing future poverty rates in older adults.

Nudging consumers about the issue of microplastics: an experimental auction study on valuation for sustainable food packaging

Plastic, integral to food packaging since the 1950s, has become a global environmental concern due to its contribution to microplastic pollution. Microplastics harm ecosystems, impacting wildlife and human health. Amid increasing focus on sustainability, global initiatives target sustainable production and consumption, but consumers struggle to verify product claims, leading to potential greenwashing, particularly in the food industry. We conducted an experiment focusing on pasta products with varied packaging and labeling attributes. Findings suggest that consumers are willing to pay more for products with both biodegradable packaging and Product Environmental Footprint (PEF) labels, indicating heightened trust and perceived sustainability. Information about microplastics’ adverse environmental effects influenced consumer valuation, particularly among females, higher-income individuals, and those with stronger environmental concerns.

What resources are needed for engaging in community coproduction? Evidence from China

This study uses data from the 2012 Chinese General Social Survey to examines what resources in the form of human, social, and cultural capital are needed for engaging in community coproduction. We find that, in terms of human capital, middle-income individuals are more likely to participate in community coproduction than lower-income and higher-income individuals; also, those with more education are more likely to participate in community coproduction. Regarding social capital, individuals who are more involved in community social networks and have higher levels of trust in their neighbors are more likely to engage in community coproduction. Finally, in terms of cultural capital, individuals with more community-centered values are more likely to participate in community coproduction. Implications for public management theory and practice are discussed.

Characteristics of the participants in mass sporting events in Vietnam

This study aimed to examine the characteristics of athletes and spectators at mass sports competitions, focusing on aspects such as quantity, age, gender, educational level, occupation, and income to provide a comprehensive demographic overview. The study employed a sociological survey method, sampling 10 localities out of 63 provinces and cities across Vietnam. The survey included 520 spectators (Group 1) and 220 athletes (Group 2), resulting in a total sample size of 740 participants. The results are illustrated using graphical representations. The majority of spectators at mass sport events are aged 23 to under 60, whereas athletes show a more even age distribution, indicating lower student participation in spectating. Men significantly outnumber women. Most participants hold high school or university degrees, with the largest group being unskilled workers. Students, freelancers, and retirees are more evenly distributed. Professional field participants make up 35.5% of the total. Income-wise, most participants are middle to high-income earners, with nearly half earning between 5 and 10 million VND per month, and 42.3% earning over 10 million VND. Low-income and very high-income individuals are mostly spectators, while medium to high-income individuals are more likely to be athletes.

A Comparative Study of Loan Approval Prediction Using Machine Learning Methods

Loan prediction plays an important role in the process of evaluating loan applications by financial institutions. Machine learning models can automate this process and make the lending process faster and more efficient. In this context, the main objective of this research is to develop models for loan approval prediction using machine learning algorithms such as Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Decision Tree, and Random Forest and to compare their performances. In addition, determining the effect of K-Best and Recursive Feature Elimination feature selection methods on model performances is another important objective of the research. Furthermore, the evaluation of the effectiveness of techniques such as cross-validation (K-Fold) and Train, Test and Validation in measuring the performance of models is also among the objectives of the research. The findings revealed that married individuals are more likely to be approved for loans than single individuals, high income individuals more likely than low-income individuals, males more likely than females, and university graduates more likely than non-university graduates. According to the performance measures, Random Forest was the most successful algorithm with an accuracy rate of 97.71% in loan approval prediction. To achieve this accuracy rate, feature selection was performed with the Recursive Feature Elimination method and the measurement was made with the cross-validation method. It was found that the feature selection methods have a significant impact on the model performances and the Recursive Feature Elimination method was the most successful method. Moreover, the highest accuracy rate achieved by the Random Forest algorithm, which showed the highest performance in all cases, was measured by cross-validation.

Urban growth and stratification: The role of locational externalities

Urban areas that have undergone rapid and recent growth processes can shed light on the forces driving urban stratification and gentrification. This article analyzes how the process of urban growth itself, driven by migration, affects the stratification of the city. The availability of detailed data makes it possible to observe how high-income settlement patterns are driven by attraction (homophily) and repulsion (heterophobia). We consider neighborhood composition (i.e., the number of high-income residents in the vicinity of a given location) as a potential factor that can explain agents' higher willingness to pay in some locations. We propose a model of urban spatial equilibrium with locational externalities, related to preexisting neighborhood characteristics, that can help explain why new rich neighborhoods are located close to existing rich neighborhoods and far from poor neighborhoods. In this model a monopolistic owner will allocate available locations to those agents willing to pay the most, taking advantage of agents' willingness to pay more when locations are surrounded by high-income individuals. The location externality influences the dynamics of urban configuration through attraction-repulsion effects, as new rich neighborhoods are located near other rich neighborhoods and far from poor neighborhoods, thus reinforcing socio-spatial-stratification. This mechanism sheds light on why gentrification occurs only in some areas, while others with a priori better localization do not experiment changes.

The levels of women’s awareness, experience, acceptability and preference for Vaginal Human Papillomavirus (HPV) self-sampling in three provinces of China: a cross-sectional study

BackgroundThe primary screening technique for precancerous lesions and cervical cancer is human papillomavirus (HPV) testing, and HPV self-sampling has been shown to be consistent with clinician sampling in terms of the accuracy of the results and may improve cervical cancer screening rates. The aim of this study was to understand the level of awareness, experience, acceptability, and preference for vaginal HPV self-sampling among women in Jiangsu, Zhejiang, and Shanghai, China, and to analyze the possible influencing factors to determine the feasibility of implementing self-sampling.MethodsOverall, 1793 women were included in the data analysis. A self-administered questionnaire was utilized. In addition to descriptive analysis, univariate and multivariate analyses were used to explore the associations between sociodemographic features, history of cervical cancer screening, and the level of awareness, experience, acceptability, and preference for HPV self-samples.ResultsThe participants’ level of awareness of and experience with HPV self-sampling were moderate. A total of 88.8% of participants rated the acceptability as “high”, and self-sampling was preferred by 64.2% of them for cervical cancer screening. People aged 45 to 54 years showed a preference for both clinician sampling(OR = 1.762 (1.116–2.163)) and self-sampling (OR = 1.823 (1.233–2.697)). Those who had graduated from high school or above (OR = 2.305 (1.517–3.503), OR = 2.432 (1.570–3.768), OR = 3.258 (2.024–5.244)) preferred clinician-sampling, and those with a bachelor’s degree or above (OR = 1.664 (1.042–2.657)) preferred self-sampling. Middle- and high-income individuals showed no preference for either sampling method (OR < 1).ConclusionsHPV self-sampling is widely accepted, but awareness, experience and preferences need to be improved. These results may help to adjust public health strategies for the early inclusion of HPV self-sampling as a screening method in national initiatives to prevent cervical cancer.