Probit Regression Model Research Articles

Factors Influencing Access to Formal Credit by Pottery Households: Case Study in Bat Trang Village, Hanoi, Vietnam

Purpose:This paper aims to investigate the factors influencing pottery households’ access to formal credit in a craft village in Hanoi city, Northern Vietnam. Methods: By using Yamande’s formula, sample size of 167 households was determined. Descriptive statistics and Probit regression model were applied in quantitative data analysis. Results: Diversification of rural livelihood through the development of non-farm activities is one of important policies for holistic rural development in Vietnam. However, non-farm households in general and pottery households in particular have faced with capital shortage in production process. One of reasons for their capital limitation is difficulties in formal credit access. This research indicated that households’ credit access was influenced by factors including age, educational level, collateral value asset, and return from ceramic production after tax. Practical implications: This study presented important roles of formal credit for economic development of rural households in general and pottery households in particular. However, most households meet difficulties in accessing to formal credit due to their old age, lack of collateral assets and low return from their production. Originality: This study implied that policy makers in Vietnam should implement a specific credit support for non-farm households in rural areas. In addition, commercial banks should loose credit requirements on collateral value assets in order to help rural non-farm households to access to formal credit, particularly banking loan.

Financial stress among college students: New data about student loan debt, lack of emergency savings, social and personal resources

AbstractWe provide updated results about the link between student loan debt and emergency savings with financial stress, and after conditioning for differences in social and personal resources. We use the stress process model framework and data from the 2020 Study on Collegiate Financial Wellness (N = 25,310) to estimate ordered probit regression models. The 2020 data confirm that students report higher levels of stress if they hold more loan debt and have lower emergency savings. Students with higher levels of financial socialization and financial self‐efficacy experience less financial stress and experience more stress when they report both positive and negative financial management behaviors. Among student‐borrowers, the role of social and personal resources is weakened. The data confirm ongoing financial stress among college students and points to the important role of financial socialization through parents and financial skill in students' ability to cope with financial stress.

Semiparametric Probit Regression Model with General Interval-Censored Failure Time Data

Interval-censored data frequently arise in various biomedical areas involving periodical follow-ups where the failure or event time of interest cannot be observed exactly but is only known to fall into a time interval. This article considers a semiparametric probit regression model, a valuable alternative to other commonly used semiparametric models in survival analysis, to investigate potential risk factors for the interval-censored failure time of interest. We develop an expectation-maximization (EM) algorithm to conduct the pseudo maximum likelihood estimation (MLE) using the working independence strategy for general or mixed-case interval-censored data. The resulting estimators of regression parameters are shown to be consistent and asymptotically normal with the empirical process techniques. In addition, we propose a novel penalized EM algorithm for simultaneously achieving variable selection and parameter estimation in the case of high-dimensional covariates. The proposed variable selection method can be readily implemented with some existing software and considerably reduces the estimation error of the proposed pseudo-MLE approach. Simulation studies demonstrate the satisfactory performance of the proposed methods. An application to a set of interval-censored data on prostate cancer further confirms the utility of the methodology. Supplementary materials for this article are available online.

Study on Factors Contributing to Severity of Ship Collision Accidents in the Yangtze River Estuary

Abstract The Yangtze River estuary in China is characterized by a complex maritime geographical environment and presents significant challenges to ship maneuvering and control, thereby increasing the risk of ship collision accidents. Based on the 2013–2022 shipwreck investigation report published by Shanghai and Zhejiang Maritime Safety Administration, this paper analyzes the primary factors responsible for ship collision accidents severity in the Yangtze River estuary from four aspects, namely ship, environment, human, and management. Utilizing accident severity as the dependent variable and 24 factors, including ship type, gross tonnage, wind speed, and operational errors, as independent variables, the study employed a stepwise regression approach to filter the variables. Subsequently, an ordered probit regression model was constructed based on the ten most influential variables, followed by a marginal effect analysis. The findings indicate that a ship's gross tonnage, wind speed, ocean current speed, offshore distance, and day/night conditions significantly influence the likelihood of different accident levels. Specifically, wind speed, offshore distance, and ocean current speed have a negative impact on minor and general accidents while positively affecting major and severe accidents. Gross tonnage and daytime/nighttime have a positive impact on minor and general accidents but negatively impact major and severe accidents. Moreover, general accidents exhibit the most pronounced marginal effect for each explanatory variable. The findings can help the shipping authorities to identify the causes of ship collision accidents and take effective measures to reduce such accidents, thereby enhancing the safety of ship navigation in the area.

Determinants of COVID-19 vaccine uptake: evidence from a vulnerable global South setting

ObjectiveStudies are paying increasing attention to complex social determinants in explaining the variation in the rates COVID-19 vaccine uptake. This study examines the influence of various individual, contextual, and vaccine-related factors on COVID-19 vaccine uptake behaviour in a resource-scarce and vulnerable setting using a quantitative research approach. Using a multi-staged cluster sampling approach, 408 individuals from 204 households in Cape Coast, Ghana’s tourism hub, were surveyed. Probit and logistic regression models were estimated to test the vaccine-related factors.ResultsA significant difference is observed between wait time and vaccination status (χ2 = 21.17; p = 0.000). Moreover, age and religion, as controlled variables, equally played significant roles in influencing the adoption of the vaccine. Other factors encompass the perceived risk of contracting COVID-19, the perceived benefits of the vaccine in relation to its side effects, and the level of trust individuals have in the concern of vaccine producers for their health. These findings call for targeted campaigns by the Ministry of Health, health facilities and other institutions promoting the COVID-19 vaccine. These actors should emphasize the benefits of vaccination, prioritize trust-building initiatives, and provide clear guidance on vaccination schedules, and manage waiting time.

Associations between tobacco 21 and state flavour restrictions with young adult tobacco use

BackgroundStates have recently enacted tobacco-related age and flavour restrictions in addition to federal T21 laws. Little is known about the independent effects of these policies on young adult tobacco use.MethodsLinking...

Socioeconomic and demographic determinants of financial inclusion in South Asia: Integrated policy for targeted groups of population

This paper aims to analyze the individual’s socioeconomic and demographic determinants of financial inclusion and its barriers among for South Asian countries in the lens of existing financial inclusion policy, using World Bank Global Findex database for the period 2011, 2014, 2017, and 2021. We use the Probit regression model to explore the main objective of this study. In addition, we also analyze the trend, pattern, and barriers of financial inclusion for the period 2011- 2021 to identify differences among south Asian countries. Our results reveal that Sri Lanka is the best performer in the inclusivity of financial products as well as removing barriers to financial inclusion in all four periods. While Pakistan and Afghanistan are the least financially included countries, also they failed to remove barriers to financial inclusion. Moreover, our empirical results suggest that individuals who are male, older, wealthier, and more educated are more likely to access financial services, with income and education exerting a higher influence. Further, age shows a non-linear (inverted U-shaped) relationship with financial inclusion indicators. Additionally, we found that individuals having a formal account are the most important indicators of financial inclusion. And the reasons for financial exclusion (i.e., not having an account) are mainly voluntary among South Asian individuals. In fact, it is found that policies like Pradhan Mantri Jan Dhan Yojana for India and National Financial Inclusion Strategy across all South Asian countries play a significant role in accelerating financial inclusion and helping in removing its barriers with different magnitudes. Therefore, our finding stresses the importance of heterogeneous integrated policy measures for the targeted groups of the population, particularly the most vulnerable group among South Asian countries.

Participation and returns from informal service-oriented non-farm enterprises: Evidence from a survey of Nigerian households.

We investigate the factors that influence the selection and productivity of informal service-oriented family enterprises in Nigeria. Using nationally representative micro-data from the Nigerian General Household Survey (2010-2015), we employed random-effect probit and selectivity-adjusted regression models to estimate and analyze the results. The findings reveal that the location of informal Non-Farm Household Enterprises (NFHEs)-whether home-based or non-home-based-significantly impacts the wholesale, retail, personal, and consultancy service sectors operated by informal NFHEs. This impact remains significant even after accounting for variations in individuals, households, or locational characteristics. Furthermore, when considering selectivity in the earnings equation, we found that home-based informal enterprises exhibit lower productivity compared to non-home-based enterprises, a difference that varies across sectors. Overall, factors such as the gender of business owners, educational levels, geopolitical zones, infrastructure, and business characteristics play a crucial role in determining the locational and productivity disparities among service-oriented enterprises in Nigeria. Key recommendations stemming from this study include addressing gender-based segregation and economic disparities, prioritising financial inclusion for small business development, bridging infrastructure gaps, and implementing policies that acknowledge and bolster the informal sector.

Physical and socioeconomic driving forces of land use and land cover changes: the case of Hawassa City, Ethiopia

Background and objectives: Hawassa served as the country’s southern region’s capital from 1990 to 2019 and is currently experiencing rapid urbanization. Urban planners use the physical and socioeconomic driving elements of Land Use Land Cover Change (LULCC) to identify the variables influencing the trend of urbanization and then make appropriate plans.Methods: The study primarily employed advanced technologies like Geographic Information Systems and Remote Sensing to collect and analyze accurate and reliable information. The data were collected through questionnaires, interviews, and key interviews. Finally, the data were analyzed in different ways, using figures and tables, for example. Descriptive and econometric models were also used to analyze the data and probit regression models were used to investigate the impact of urban expansion on the livelihood of displaced farmers in the surrounding area.Findings: Multivariate analysis of variance indicated that the effect of urban expansion on the combined dependent variables, namely, on land use, socioeconomic activities, culture, and environmental change, is statistically significant F(8, 616) =12.704, p = 0.000, Wilk’s Lambda (λ) = .737, partial eta squared(partial η2) = 0.142, observed power = 1.000. Comparatively, the area covered by farmland, built-up areas, and bushland increased from 19.46% to 26.51%, 11.97% to 18.71%, and 3.07% to 4.51%, respectively. The mean score for the level of social relationship and values after land expropriation was 1.7 moderate, with a standard deviation of 0.852 in comparison with the mean score for the level of social relationship and values before land expropriation, which was 3.21 high, with a standard deviation of 0.79. This shows that the land expropriation program negatively affected farmers’ social relationships and values; their social relations levels were high before displacement and between low and moderate after displacement.Conclusion: Policy and strategy gaps in the urban expansion program and this policy issue have hindered the growth of the city and resulted in a serious issue regarding good governance in the area.

The Association of Socio-Economic Factors and Indigenous Crops on the Food Security Status of Farming Households in KwaZulu-Natal Province.

Indigenous crops have been proposed as part of a solution for household food security and sustainable farming systems. However, they have been overlooked and underutilised by households and farmers despite their potential contribution to household food security. The objective of this paper was to determine the association of socio-economic factors and indigenous crops with the household food security of farming households. About 260 farming households were selected using a simple random sampling procedure. The food security status was measured through the use of the Household Food Insecurity Access Scale (HFIAS). The Chi-square test and extended ordered probit regression model assessed the relationship of socio-economic factors and indigenous crops with household food security status. The results from the HFIAS showed that farming households were largely in the mildly and moderately food-insecure categories, with 34.2% and 36.2% of the sampled farmers found in these categories, respectively. The Chi-square test showed a statistically significant relationship between food security status and socio-economic factors. Young men and everyone were perceived to be the ones likely to consume indigenous crops. Consumption of indigenous crops was perceived to be associated with food security. The results also showed that farming experience is likely to positively contribute to the food security status of the farming households. Selling indigenous crops in a formal market is perceived to be associated with food security compared to selling in an informal market. This study concludes that consuming indigenous crops is likely associated with improved food security. Identifying an appropriate market for sales of indigenous crops is imperative. Government, extension officers, and nutritionists must conduct training workshops to encourage households to grow, market and buy indigenous crops. Government and policymakers need to include indigenous crops in the national food and nutrition security policy and create formal markets for indigenous crops.

Young Consumers’ Preferences for Natural Wine: An Italian Exploratory Study

Although much has been written about sustainable wine consumption, the topic of young consumers’ (age 18–39 years) preferences for natural wine in Italy has been poorly explored. Through an online survey of 640 Italian respondents, we investigate the characteristics that affect consumption of natural wine in Italy. First, a factor analysis was applied to reduce data to a smaller set of summary variables. A probit regression model was then used to explore the effects and evaluate the relative importance of identified factors on participants’ willingness to consume natural wine. The results reveal that being female, in the older age cohort (25–39 years), and being consumer of certified wine and/or biodynamic wine significantly increase the probability of drinking natural wine. The findings also showed that health benefits, natural product interest, previous experience with natural wine, and positive perception of natural wine also drive young consumers of natural wine.

Rural households' livelihood adaptation strategies in the face of changing climate: A case study from Pakistan

Rural and agricultural communities' adaptation to climate change has gained significant attention owing to many countries' vulnerability to climate change risks. A similar trend has been witnessed in South Asia, a highly climate-vulnerable region, where research has grown dramatically considering the agriculture sector's vulnerability to climate-induced disasters. However, little attention has been paid to the adaptation of the livelihoods of rural households. This research, therefore, takes the case of Pakistan to explore livelihood adaptation strategies of rural households to climate change and investigate the factors that expedite or halt the adoption of livelihood diversification strategies. A multistage sampling design is used in this research, where 480 rural households from the Punjab province of Pakistan were selected and interviewed using stratified and random sampling approaches. A multivariate probit (MVP) regression model is employed to analyze the factors affecting households' adoption of livelihood adaptation strategies. The results show that besides adaptation of agronomic operations (agricultural adaptation strategies), rural households in the study area employed a wide range of strategies to adapt their livelihoods to climate change. These strategies include poultry and livestock farming, value addition of farm produce, trading of animals and farm commodities, small businesses (shops, etc.), daily wage labor, horticultural crop farming, and non-farming jobs. The estimates of the MVP model revealed that respondents' education, household size, income, access to a credit facility, access to farm advisory services, and access to climate forecasts have significantly influenced the choice of livelihood adaptation strategies. Based on these findings, this research recommends that the authorities should make efforts to improve farmers' understanding of the adaptation of climate change risks and educate them to adopt multiple livelihood options to improve the resilience of their livelihoods to climate-induced risks. This research has important policy implications for other countries with similar socio-economic features.

Farmer-preferred traits and variety choices for finger millet in Uganda

Finger millet is a climate-resilient crop providing food and nutrition security and income In Uganda. However, the current productivity of finger millet in farmers’ fields is low and among other factors, this is due to the poor adoption of improved varieties. With this study we aim to identify and profile varietal traits preferred by finger millet farmers and consumers in Uganda. We specifically focus on how these traits vary among women and men in the Ugandan finger millet value chain. We collect data using semi-structured questionnaires among 170 households growing millet in Bushenyi, Lira, and Nwoya districts, and we triangulate questionnaires replies with qualitative information from 11 focus group discussions and 3 key informant interviews. Using descriptive statistics and probit regression models, we find that the majority of the farmers (97%) prefer growing landrace varieties of finger millet compared to only 3% growing improved varieties. The most preferred varieties were Kaguma in Bushenyi, Ajuko Manyige in Nwoya, Kal Atar, and Okello Chiba in Lira. Farmers’ choice of variety depends on a combination of traits including agronomic, marketing, and consumption traits. Gender, marital status, education levels, and occupation are the major socio-demographic factors that influence specific preferences related to finger millet variety. This study lays a foundation for designing a gender-responsive finger millet product profile to guide the development and release of new varieties by the finger millet crop improvement program.

Paid-Leave Availability and Public Health and Nutrition Program Participation Following a Birth in the U.S.

This study examines the relationships between state-provided paid-leave availability and enrollment in public health and nutrition programs (SNAP, Medicaid, WIC) among single low-income women following a birth in the U.S. We hypothesize that women in paid leave states will be less likely to participate in publicly available health and nutrition programs. Data are from the Survey of Income and Program Participation (SIPP), a nationally representative panel survey data set (N = 1168). Descriptive tests of significance and probit regression models are used to examine the relationship between paid-leave availability and participation in SNAP, Medicaid, and WIC following a birth. A descriptive analysis suggests significantly lower enrollment in SNAP but not Medicaid or WIC for single low-income women in paid-leave states compared to those in non-paid-leave states. The finding of significantly lower post-birth SNAP participation in paid-leave states holds in probit models that include potentially relevant mother, household, and state controls.

Analysis of dose-TSH response effect of levothyroxine soft-gel formulation.

Hypothyroidism is treated with daily levothyroxine (LT4). In recent years, soft gel caps of LT4 (LT4-C) have been commercialized, and their performance has been optimized. Since guidelines recommend dose LT4 according to the tablet preparation efficacy, the present study was undertaken to obtain data about the daily requirement, normalized per body weight, of LT4-C. Patients undergoing LT4-C after total thyroidectomy and radioiodine treatment for differentiated thyroid carcinoma were selected. There was no specific indication of suppression of TSH (i.e., <0.5 or <0.1 mIU/L). Patients were required to maintain a stable LT4 dose during the study period. Patients with interfering factors were excluded from this study. Thirty patients were enrolled (18 females and 12 males; median age, 50 years; median body weight, 71 kg; median LT4-C dose, 1.71 µg/kg/day). The analysis of patient age did not reveal any differences. The LT4-C dose correlated with free-T4 p = 0.03), but not with TSH (p = 0.42) and free-T3 (p = 0.13). TSH was <1.0 mIU/L in 90% of the cases. The LT4-C dose-TSH response effect was analysed by probit regression model: the probability to achieve TSH <1.0 mIU/l was 99% with a dose of 1.84 (95%CI 1.57-2.12) µg/kg/day, 75% with a dose of 1.38 µg/kg/day (95%CI 1.17-1.59), and 50% with a dose of 1.20 (95%CI 0.96-1.43). At ROC curve analysis, the most accurate cut-off of LT4-C dose to achieve TSH <1.0 mIU/l was 1.53 ug/kg/day with 70% sensitivity and 100% specificity. Athyreotic patients can be initially treated with an LT4-C dose lower than previously stated. Therefore, further prospective studies are warranted.

Khả năng tiếp cận tín dụng tín chấp của công chức tại tỉnh Vĩnh Long

Based on a survey of 178 public officials who have access to unsecured loans in the districts of Binh Tan, Binh Minh Town, and Vinh Long City, using the Probit and Tobit regression models, the results showed that the ability of officials to borrow unsecured loans is influenced by factors such as seniority, remaining work time, number of dependents, monthly income and expenditure, willingness of the unit leader to sign confirmation and the purpose of the loan. In addition, the amount of loans that officials receive is affected by factors such as gender, seniority, remaining work time, number of dependents, monthly income and expenditure, the willingness of the unit leader to sign confirmation, and the purpose of the loan. Based on the analysis results, the author proposes policy implications to help them improve their ability to access unsecured credit capital and increase the amount of capital borrowed from banks in Vinh Long province.

The formalization of microenterprises in middle-income countries: informal institutions as a mechanism to address institutional incongruence

PropósitoO objetivo deste estudo é investigar o papel das vendas, usadas como um indicador de tamanho, na mediação do impacto da incongruência institucional entre instituições formais e informais na formalização de microempresas em países de renda média na América Latina.MétodoUtilizamos um modelo de regressão Probit para examinar a formalização empresarial como um resultado binário de instituições formais e informais. Os dados foram coletados por meio de 110 entrevistas e pesquisas em 52 municípios da Região Metropolitana de Santiago, Chile. O estudo empregou uma abordagem de amostragem estratificada e foi realizado entre novembro de 2022 e janeiro de 2023.ResultadosNossos resultados oferecem três ideias-chave sobre a formalização de microempresas em países de renda média. Primeiro, demonstramos que as instituições formais não influenciam significativamente as decisões de formalização entre as microempresas em países de renda média; isso desafia a crença tradicional de que as instituições formais, por si só, influenciam significativamente a formalização nesses contextos. Segundo, nosso estudo mostra que as instituições informais são preditores significativos da informalidade, especialmente entre as microempresas menores. Terceiro, nosso estudo destaca que o efeito negativo das instituições informais sobre a formalização é mais forte para negócios de menor porte; portanto, a incongruência institucional entre instituições formais e informais diminui para negócios de maior porte.OriginalidadeEste artigo contribui para a literatura iluminando os impulsionadores da formalização em países de renda média, ao contrário da maioria dos estudos de formalização na região latino-americana, que se concentram principalmente em países de baixa renda. Nossos achados sugerem que os responsáveis pelas políticas em países de renda média deveriam focar em impulsionar o crescimento das microempresas por meio das vendas, em vez de se concentrar em grupos demográficos específicos ou depender exclusivamente do cumprimento institucional formal para promover a formalização.

Cocoa Farmers' Participation in Public and Private Agricultural Extension Delivery in Amenfi Central District, Ghana

Agricultural extension and knowledge management have become key blocks in driving sustainable food systems and rural development, especially in periods of dealing with the complexities surrounding climate change and sustainable food systems in localised systems. This study assessed cocoa farmers' participation in public and private agricultural extension services in Ghana. Using descriptive and inferential statistics and collecting data from 385 farmers, the study reveals that private extension services stand out in various indices: access to information (3.72), communication (3.96), and support and follow-up (3.45), while public extension services excel in social and environmental impact (3.54), and knowledge transfer (3.86). Intricate extension programme dynamics also reveal a clear preference for private extension in citizen power (23.6% vs. 7.3%), delegated power (33.2% vs. 8.6%), and partnership (39.2% vs. 13.5%). Using the binary probit regression model, this study examines how various socio-economic factors influence farmers' participation in extension programmes. Results indicate that key determinants for participation in public extension include gender, level of education, land size, availability of labour, and access to credit. Conversely, factors influencing participation in private extension programmes include membership in farmer groups, land ownership, land size, the availability of labour, and access to credit. Policymakers and extension workers can make extension services more useful and open to everyone by focusing on these socioeconomic factors and creating programmes that meet the unique needs and limitations of various farmer groups. This will ultimately lead to higher agricultural productivity, better livelihoods, and better rural development.

Peri-urban food insecurity and coping strategies among farm households in the face of rapid urbanization in Sub-Saharan Africa: Evidence from Ethiopia

A growing body of literature discusses food insecurity in rural and urban contexts in Sub-Saharan Africa (SSA). Peri-urban food insecurity and coping strategies remain an understudied topic. To fill this gap, household cross-sectional survey data was collected from randomly selected 300 farm households in the peri-urban area of Jimma City and complemented with key informant interviews (KIIs) and focus group discussions (FGDs) to assess their food insecurity status and coping strategies in the face of rapid urbanization. A structured questionnaire was used to collect quantitative data from farm households while an unstructured questionnaire was used to gather qualitative data from key informants. Twelve indicators involving the four food insecurity dimensions were identified to develop a food insecurity index and categorize households into four food insecurity levels. The Principal Component Analysis (PCA) is employed to determine the most important indicators of household food insecurity. The ordered probit regression model was employed to ascertain significant factors affecting farming household food insecurity. The results revealed that 46% of peri-urban farm households were food-insecure at various levels. The household food insecurity status varied with their level of human capital, physical endowments, risk aversion behaviour, and institutional barriers. The expansion of built-up areas and marketable crops, particularly eucalyptus trees have greatly affected the food security status of peri-urban farm households. Income diversification, farming diversification, social ties, and farming specialization were the main food insecurity coping strategies of peri-urban farm households. The findings of this study highlighted insights into the urban expansion of medium-sized cities and agricultural land loss, marginalization of staple food crops, and market food prices increase, which resulted in increased vulnerability to food insecurity and poverty among farm households in peri-urban areas. The recommendations drawn from these findings are formulating strategies that preserve agricultural land-use and promoting food insecurity mitigation programs that capitalize on the coping strategies of households in peri-urban areas in the face of rapid urbanization.

The impact of income level on skeletal muscle health in rural Chinese older residents: a study of mediating effects based on dietary knowledge.

China's rural residents have basically solved the problem of subsistence, but due to aging, the prevalence of sarcopenia (abbreviated as sarcopenia) has been increasing year by year, especially the skeletal muscle health of the rural older residents has not been sufficiently paid attention to, so analyses of the impact of income level on the skeletal muscle health of the older people in rural areas of China are of great practical significance. Based on the annual data of the China Health and Nutrition Survey (CHNS) in 2006, 2009, and 2011, we introduced the mediator variable of dietary knowledge and used the Probit model regression, mediation effect model, and instrumental variable regression to assess the skeletal muscle health status of the rural older people in China and explore the mechanism of the influence of the income level on the skeletal muscle health of the rural older residents in China. The primary objectives of this study were to evaluate the impact of income level on the skeletal muscle health status of older adults living in rural areas of China and to investigate the underlying mechanisms. By analyzing the findings of this study, our aim is to establish a correlation between the economic status and skeletal muscle health of older adults in rural communities, as well as elucidate the influence of income level and dietary knowledge on their skeletal muscle health. Through the attainment of these objectives, we hope to provide valuable insights and recommendations for enhancing skeletal muscle health among the rural older population in China. Based on our research findings, it can be inferred that there was a significant association between the financial status of rural older adults and their skeletal muscle health. Additionally, the prevalence of sarcopenia was lower among individuals with higher income levels, and there was a negative correlation between the prevalence of sarcopenia and the level of dietary knowledge among rural older individuals. The knowledge of dietary knowledge level of rural older people plays a mediating role in the income level and the prevalence of sarcopenia. Moreover, with the change in income level and the increase in age, the change in skeletal muscle health status showed obvious heterogeneity, in which the effect on the relatively younger (65-70 years old) samples was greater. Therefore, sustained income growth remains an effective way to improve the skeletal muscle health of older rural residents. At the same time, improving dietary knowledge and dietary quality among the older people is important in preventing a decline in muscle strength and physical function and in preventing the onset of sarcopenia.