Demographic Components Research Articles

EDUCATION-DEVELOPMENT NEXUS: THE NIGERIA’S EXPERIENCE

Development as a concept and a process transcends individuals and society, thus, considered as a multidimensional process of change and transformation manifesting in economic growth, progress and prosperity in environmental, social, psychological, political and demographic components of society. It is about increasing the chances and improving the well-being of every individual to attain their full potentials in society, through human capital investment. Education has been equated to be the indisputable means of investing in people in order to explore their potentialities, creativity, innovation and self-consciousness. This conceptualises the concept of development as growth in the nation’s or societal income and economy with corresponding enhancement of material well-being of individuals in terms of basic necessities of life such as education, food, clothing, shelter, skills, freedom, self-discipline. It showcases some development issues in Nigeria and argued that provision of qualitative education to citizenry directly affects the level of society’s growth and development. The growth theory however lays emphasis on growth rate differentials across countries, the role of externalities in determining the rate of return on capital investments, and assuming that both public and private investments in human capital help in generating external economies and productivity improvements.

Examining the Effects of E-Satisfaction, E-Trust and Perceived Value on Repurchase Intention among Young Adults

This study adapted some of the dimensions in the ES-QUAL model that contribute to e-satisfaction, with additional factors of e-trust and perceived value about repurchase intention among young adults in an online shopping setting. The research methodology involved a sample size of 103 full-time students of Bachelor of Business Administration (BBA) Retail Management (Hons.) in UiTM Puncak Alam aged between 18 to 26 years old, utilizing a structured adapted questionnaire to capture demographic profiles and components of e-satisfaction, e-trust and perceived value about repurchase intention. The descriptive statistics show a substantial increase, with the highest mean obtained by e-satisfaction, followed by perceived value and e-trust. In addition, the finding implies that there is a high degree of repurchase intention among these students.

Less can be more: representational vs. stereotypical gender bias in facial expression recognition

AbstractMachine learning models can inherit biases from their training data, leading to discriminatory or inaccurate predictions. This is particularly concerning with the increasing use of large, unsupervised datasets for training foundational models. Traditionally, demographic biases within these datasets have not been well-understood, limiting our ability to understand how they propagate to the models themselves. To address this issue, this paper investigates the propagation of demographic biases from datasets into machine learning models. We focus on the gender demographic component, analyzing two types of bias: representational and stereotypical. For our analysis, we consider the domain of facial expression recognition (FER), a field known to exhibit biases in most popular datasets. We use Affectnet, one of the largest FER datasets, as our baseline for carefully designing and generating subsets that incorporate varying strengths of both representational and stereotypical bias. Subsequently, we train several models on these biased subsets, evaluating their performance on a common test set to assess the propagation of bias into the models’ predictions. Our results show that representational bias has a weaker impact than expected. Models exhibit a good generalization ability even in the absence of one gender in the training dataset. Conversely, stereotypical bias has a significantly stronger impact, primarily concentrated on the biased class, although it can also influence predictions for unbiased classes. These results highlight the need for a bias analysis that differentiates between types of bias, which is crucial for the development of effective bias mitigation strategies.

Changes in demographic components during the COVID-19 pandemic and economic recession in Sri Lanka

The objective of this paper is to investigate the impact of the COVID-19 pandemic and subsequent economic recession on the three demographic components, namely mortality, fertility and migration in Sri Lanka and possible implications. A secondary data analysis of mortality, fertility, migration, and marriage data from the Registrar General’s Department of Sri Lanka and the Ministry of Health was conducted. Although excess mortality (COVID-19 deaths) in 2022 was substantially lower, it was elevated in 2021. In comparison to non-COVID-19 years, the number of deaths has increased substantially during the post-COVID-19 era – 146 thousand deaths in 2019 increased to 194 thousand in 2023 (30.1%). This marked increase could be attributed to the economic recession and related serious constraints faced by the health system in Sri Lanka. Further, a marked decrease in marriages (14.2%) was observed in 2020 due to COVID-19 which recovered to pre-COVID-19 level in 2021. However, instead of experiencing the “babyboom” phenomenon (as observed in some previous pandemics) in the aftermath of the COVID-19 pandemic, the observed data for Sri Lanka indicates a significant downward trend in fertility. Unexpectedly, 319 thousand births were reported in 2019 in Sri Lanka dropping to 257 thousand by 2023, which is a decline of over 62 thousand births (19%). This situation is further complicated by the highest reported outbound migration ever reported in Sri Lanka in 2022, displaying a 250% year-to-year increase. The changes in these demographic components would impact the macroeconomics.

Decomposition of official population projections in Brazil

Brazil’s population has continually changed over time. However, the effects of each demographic component on official population projections are still unclear. In this research, we replicate the Population Projections Revision 2018 of the Brazilian Institute of Geography and Statistics using a projection matrix model and the cohort-component method by sex, age and geographic regions. Thereafter, we established four alternative scenarios to decompose the official benchmark scenario into four demographic effects (fertility, age structure, mortality, and migration) and one residual effect. The results reveal that fertility and age structure effects have been the main drivers of the population dynamics between 2010 and 2060. On the one hand, the negative effect of fertility below replacement level has been mostly offset by the still positive effect of the age structure, even across regions in the country. On the other hand, age structure effect has been decreasing over time. By 2048, the effects of age structure, mortality and migration will no longer counterbalance fertility effects, resulting in a population decline.

Severe fire regimes decrease resilience of ectothermic populations.

Understanding populations' responses to environmental change is crucial for mitigating human-induced disturbances. Here, we test hypotheses regarding how three essential components of demographic resilience (resistance, compensation and recovery) co-vary along the distinct life histories of three lizard species exposed to variable, prescribed fire regimes. Using a Bayesian hierarchical framework, we estimate vital rates (survival, growth and reproduction) with 14 years of monthly individual-level data and mark-recapture models to parameterize stochastic integral projection models from five sites in Brazilian savannas, each historically subjected to different fire regimes. With these models, we investigate how weather, microclimate and ecophysiological traits of each species influence their vital rates, emergent life history traits and demographic resilience components in varying fire regimes. Overall, weather and microclimate are better predictors of the species' vital rates, rather than their ecophysiological traits. Our findings reveal that severe fire regimes increase populations' resistance but decrease compensation or recovery abilities. Instead, populations have higher compensatory and recovery abilities at intermediate degrees of fire severity. Additionally, we identify generation time and reproductive output as predictors of resilience trends across fire regimes and climate. Our analyses demonstrate that the probability and quantity of monthly reproduction are the proximal drivers of demographic resilience across the three species. Our findings suggest that populations surpass a tipping point in severe fire regimes and achieve an alternative stable state to persist. Thus, higher heterogeneity in fire regimes can increase the reproductive aspects and resilience of different populations and avoid high-severity regimes that homogenize the environment. Despite being more resistant, species with long generation times and low reproductive output take longer to recover and cannot compensate as much as species with faster paces of life. We emphasize how reproductive constraints, such as viviparity and fixed clutch sizes, impact the ability of ectothermic populations to benefit and recover from disturbances, underscoring their relevance in conservation assessments.

Factors affecting physicians’ specialty selection: A demographic and socioeconomic perspective

Objectives: The medical field is advancing toward increasing specialization in knowledge, technology, and expertise. To meet the demands of quality health care, a practical, pragmatic, and well-balanced enrollment and distribution of physicians among specialties is crucial. The process of selecting a specialty as an ultimate future career is sensitive and conveys multidimensional implications on physicians, the health systems and society as a whole. Numerous complex and miscellaneous factors contribute to the development and adjustment of that decision that needs rigorous efforts to understand and hopefully control. Material and Methods: This is a cross-sectional and descriptive study, conducted through a comprehensive questionnaire encompassing demographic information, socioeconomic indicators, and components of the modified Kuppuswamy and MacArthur Scales. Data were collected using simple random sampling with considering design efficiency. Two-variable analysis with Pearson correlation and Chi-squared test was used to identify the associations and their significance. P < 0.05 was considered statistically significant. Results: A total of 389 respondents completed the questionnaire: 58.87% females, 41.13% males. Among them, 67.8% were internship physicians, and 32.2% were general practitioners. The mean Kuppuswamy score was 15.17, and the mean subjective socioeconomic status (SES) score was 4.28. Female physicians presented a critical propensity toward choosing obstetrics and gynecology, and pediatrics as their primary future career (P ≤ 0.01), whereas male physicians were more willing to specialize in surgical specialties (P ≤ 0.01). Obstetrics, gynecology, and family medicine correlated with below-average Kuppuswamy scores (P = 0.010359), while surgical specialties correlated with higher scores (P < 0.01). Physicians with above-average subjective SES scores preferred surgical specialties (P = 0.036596). Family medicine, obstetrics, gynecology, and pediatrics correlated with below-average subjective SES scores (P = 0.041828). Conclusion: Demographic and socioeconomic factors have a significant influence on physicians’ specialty preferences and selection.

Evolution of an epidemic: Understanding the opioid epidemic in the United States and the impact of the COVID-19 pandemic on opioid-related mortality.

We conduct this research with a two-fold aim: providing a quantitative analysis of the opioid epidemic in the United States (U.S.), and exploring the impact of the COVID-19 pandemic on opioid-related mortality. The duration and persistence of the opioid epidemic lends itself to the need for an overarching analysis with extensive scope. Additionally, studying the ramifications of these concurrent severe public health crises is vital for informing policies to avoid preventable mortality. Using data from CDC WONDER, we consider opioid-related deaths grouped by Census Region spanning January 1999 to October 2022 inclusive, and later add on a demographic component with gender-stratification. Through the lens of key events in the opioid epidemic, we build an interrupted time series model to reveal statistically significant drivers of opioid-related mortality. We then employ a counterfactual to approximate trends in the absence of COVID-19, and estimate excess opioid-related deaths (defined as observed opioid-related deaths minus projected opioid-related deaths) associated with the pandemic. According to our model, the proliferation of fentanyl contributed to sustained increases in opioid-related death rates across three of the four U.S. census regions, corroborating existing knowledge in the field. Critically, each region has an immediate increase to its opioid-related monthly death rate of at least 0.31 deaths per 100,000 persons at the start of the pandemic, highlighting the nationwide knock-on effects of COVID-19. There are consistent positive deviations from the expected monthly opioid-related death rate and a sizable burden from cumulative excess opioid-related deaths, surpassing 60,000 additional deaths nationally from March 2020 to October 2022, ∼70% of which were male. These results suggest that robust, multi-faceted measures are even more important in light of the COVID-19 pandemic to prevent overdoses and educate users on the risks associated with potent synthetic opioids such as fentanyl.

Оценка уровня экономического развития старопромышленных регионов Юга России

The study of the level of development of a region is an important tool for comprehension and analysis of the characteristics and trends in the formation of a certain territory from the point of view of the economy. The old industrial regions in southern Russia, such as the Rostov, Volgograd, and Astrakhan regions, play a crucial role in national economic formation. They have a rich history of industrial development and underwent significant transformation during the transition from a Soviet-era industrial structure to a modern, diversified economic system. This circumstance determined the purpose of the article, which is the analysis of key economic indicators of the regions of the south of the country classified as old industrial ones, reflecting the level of their development. The article uses a variety of methods to analyze key economic indicators in these regions, including systematic, economic, statistical, comparative, and retrospective analysis. A study of various economic indicators in the region, including gross regional product, industrial production, retail trade turnover, and agricultural production, was conducted. This made it possible to assess the situation in different regions based on their main industries. The authors offer an algorithm for the calculation of a regional development assessment index that includes economic, social, demographic, and innovative components. It helps understand the overall condition of a region and its potential. The algorithm can be adjusted according to the research objectives. The obtained results and recommendations can be applied to develop an effective development strategy and a set of measures to improve regional policy, which, in turn, can lead to an improvement in the economic condition of old industrial regions, strengthening their positions in the national economic system.

"It's like your days are empty and yet there's life all around": A mixed methods, multi-site study exploring boredom during and following homelessness.

To identify experiences of boredom and associations with psychosocial well-being during and following homelessness. Using a convergent, mixed-methods explanatory design, we conducted quantitative interviews with 164 participants) (n = 102 unhoused; n = 62 housed following homelessness) using a 92-item protocol involving demographic components and seven standardized measures of psychosocial well-being. A sub-sample (n = 32) was approached to participate in qualitative interviews. Data were analyzed by group (unhoused; housed). Quantitative data were analyzed using descriptive statistics designed to generate insights into boredom, meaningful activity engagement, and their associations with psychosocial well-being during and following homelessness. Qualitative data were analyzed using thematic analysis. Quantitative and qualitative findings were integrated at the stage of discussion. Quantitative analyses revealed small to moderate correlations between boredom and increased hopelessness (rs = .376, p < .01), increased drug use (rs = .194, p < .05), and lowered mental well-being (rs = -.366, p < .01). There were no statistically significant differences between unhoused and housed participants on any standardized measures. Hierarchical regression analyses revealed that housing status was not a significant predictor of boredom or meaningful activity engagement (p>.05). Qualitative interviews revealed profound boredom during and following homelessness imposing negative influences on mental well-being and driving substance use. Boredom and meaningful activity are important outcomes that require focused attention in services designed to support individuals during and following homelessness. Attention to this construct in future research, practice, and policy has the potential to support the well-being of individuals who experience homelessness, and to contribute to efforts aimed at homelessness prevention.

Childhood internal migration in Europe: Developments across cohorts and countries

AbstractInternal migration is the driving force behind population re‐distribution within countries. Although internal migration has been extensively studied among adults, little is known about patterns in childhood migration, and even less so in a comparative manner. This study, therefore, adopts a child‐centred approach and contributes to the literature by exploring cross‐national changes in childhood migration across birth cohorts. Moreover, it examines how patterns of childhood migration relate to the postponement of childbearing. Drawing on retrospective residential histories from the SHARE survey, we analyzed childhood migration trajectories of 178,476 individuals born between 1935 and 1994 in 28 European countries. Cohort analyses confirm a country gradient in childhood migration, with the highest migration rates in Northern Europe and the lowest in Southeastern Europe. Nonetheless, across nearly all countries, childhood migration has consistently declined since the 1970s. Furthermore, when children relocate, it happens at increasingly younger ages. Finally, we find that these patterns are related to the increasing childbearing age across Europe. Our results thereby highlight the interplay between childhood migration and adult family life's changing dynamics, offering a novel perspective on the link between these two demographic components.

Diagnostics of the influence of medical and demographic indicators on regional socio-economic systems

The article presents approaches to monitoring and assessing social aspects of regional systems with identification of elements of the health system and demographic components that potentially affect the economic efficiency of functioning of territories. The relevance of the article is determined by objective features of the development of mesoterritories. The analysis of spatial features of the systems’ functioning was conducted on the materials of the Central Federal District. The purpose of the study is to assess the features of the regional genesis using regression analysis and the resulting indicator – gross regional product (hereinafter referred to as GRP), which allows us to give a more reliable characterisation of the mesoterritorial transformation. The subjects were grouped according to the quality of medical and demographic characteristics on the basis of the cluster analysis with further allocation of flagship, catching-up and lagging regions. To substantiate the reliability of the territories’ affiliation to a specific cluster group, a statistical analysis was performed on average values with consideration to identification of the level of medical and demographic development. The conclusion is made about the influence of some factor criteria on the regional space with the construction of a scatter plot. It displays the affiliation to the selected confidence interval and distribution of the elements of the set in the plane between the resulting and factor values, describing the dependence of the GRP on the medical and demographic indicator. These econometric and analytical models can be used by regional governments in the process of strategic planning.

Early outcomes of the Oxford unicompartmental knee arthroplasty: 140 cases from a single institute in Taiwan.

The clinical and radiologic outcomes of the Oxford unicompartmental knee arthroplasty utilizing Microplasty® instrumentation have not been extensively investigated in Taiwanese patients. Despite the efficacy of this treatment for unicompartmental knee diseases, its specific impact on this population remains unknown. We retrospectively analyzed prospectively collected data of patients who underwent OUKA with MP between 2018 and 2021, including demographic information, component position, preoperative and postoperative knee range of motion (ROM), numeric rating scale (NRS), and 2011 Knee Society Score-functional activity score (2011 KSS-FAS). We compared preoperative and postoperative data and analyzed the correlation between clinical and radiographic outcomes. Among 140 patients with an average age of 66.8 years, predominantly female, the majority exhibited components that fell within the radiographically acceptable tolerance ranges. The mean 2.5-year follow-up revealed significant improvements in knee ROM from 102.6° ± 12.9° to 127.3° ± 9.8° ( p < 0.05), pain reduction from 7.7 ± 0.8 to 0.4 ± 0.7 ( p < 0.001), and KSS-FAS from 30.7 ± 10.5 to 94.3 ± 5.2 ( p < 0.001). Notably, a tibial component medial overhang within tolerance predicted shorter hospital stays, and a higher preoperative KSS correlated with lower postoperative NRS. No independent variables were identified as predictors of a higher postoperative KSS. Our study on OUKA with MP in Taiwanese patients reveals promising early clinical and radiographic outcomes. Tibial component medial overhang <3 mm is associated with shorter hospital stays, and a higher preoperative KSS predicts lower NRS at 1 year postoperatively.

Clinical Profile and Outcome of Neonates Admitted in Intensive Care Unit: A Cross Sectional Study in District Hospital

Neonatal period, which is the first 28 days of an infant’s life, is the most crucial and vulnerable period. A remarkable decline in mortality rates during neonatal period for the past two decades is due to the advances of obstetric practice in term of medical screening and surveillance and increased neonatal specialization. However, respiratory tract disorders, along with sepsis and other types of infection, are the major causes of neonatal morbidities and mortalities. Hence, this study is aimed to bridge these gaps and provide inputs to the program implementers to design necessary interventions that could contribute to the reduction of neonatal morbidity and mortality.Aims: To determine the clinical profile and neonatal outcome admitted to NICU in district hospitalObjectives: 1. To determine the socio demographic factors associated with neonatal outcome 2. To determine the obstetric profile associated with neonatal outcome.Methods: This hospital based retrospective study was conducted in the NICU of Tumakuru district hospital from Jan to March 2023. Records of all the admitted neonates were reviewed. The details were collected based on a structured questionnaire prepared in English. This contained information regarding obstetric and antenatal care (ANC), gestational age at birth, birth weight, sex, APGAR score, age at admission, admission diagnosis, neonatal outcomes and other related details. The data collected was entered in Microsoft excel (MS Excel) and quantitative variables was analysed by mean and qualitative variable by proportion by epi in go 3.4.3. Chi square was used to find out the association between the neonatal outcome and other variables. P value &lt;0.05 was considered significant.&#x0D; Results: A total of 120 neonates were admitted during the study period. 47 (39.1%) mothers of the neonates were aged 21-25years and followed by 34 (28.3%) mothers in the age of 26-30 years. Association between neonatal outcome and socio demographic components was not statistically significant but definitely outcome was better with the good socio demographic profile. Regarding ANC follow up, 119 (99.1%) mothers had attended at leastone prenatal visit and majority 100 (80%) were having ANC check-up at government hospital. The most commoncauses of neonatal mortality were respiratory distress syndrome 4(3.33%), followed by low birth weight 4(3.33%), and preterm 3(2.5%).Conclusion: Inspite of improved technology and facilities available still the neonatal outcome is worst. These all are preventable causes of neonatal mortality and morbidities which has to be taken care bygiving due importance to its predictors. Maternal and environmental factors has to be taken care and dealt.

Quasi-stationary distribution of a single species model under demographic stochasticity and Allee effects

In this paper, we utilize an absorbed diffusion process to model the dynamics of a single species under the influence of demographic stochasticity and component Allee effects. The trajectories of stochastic solutions exhibits multi-scale dynamics distinct from those of the corresponding mean-field model. The primary focus is on analyzing transient dynamics before extinction, which is described by the quasi-stationary distribution. The paper provides results on the existence, uniqueness, and exponential convergence to the quasi-stationary distribution for initial distributions with compact support. Due to the singularity of the noise at 0, we employ the idea of changing variables to transfer the model into one-dimensional Kolmogorov diffusions with a drift possibly exploding at 0, to prove the main results.

Impact of indoor air pollution from cooking fuel usage and practices on self-reported health among older adults in India: Evidence from LASI

This research aims to explore the impact of various components of Indoor air pollution (IAP) on the Self-Reported Health (SRH) of older adults in India. Using a sample of 27,090 from the Longitudinal Aging Study in India (LASI) Wave-1, a multiple binary logistic regression model was employed to identify specific risk factors associated with poor SRH among older adults. Adjusting for demographic, socioeconomic, and IAP-related components, it was revealed that IAP significantly contributes to poor SRH. The adjusted model indicated that individuals using solid cooking fuels face a higher risk of poor SRH compared to those using liquid fuels. Additionally, individuals not using electric chimneys and cooking near windows are associated with an elevated risk of poor SRH, highlighting the importance of adequate ventilation. Health risk factors, including lung disease, diabetes, cough, and depression, further contribute to poor SRH among older adults exposed to IAP. Overall, the study offers crucial insights for policymakers, healthcare professionals, and environmentalists to improve the well-being of the vulnerable older population in India.

НЕЖЕЛАННАЯ БЕРЕМЕННОСТЬ: АНАЛИЗ ПРИЧИН И ФАКТОРОВ АРТИФИЦИАЛЬНЫХ АБОРТОВ

The article examines the problem of abortion and its consequences for the demographic component of the country. Based on the research conducted in a questionnaire format, the results of an analysis of the reasons and factors that influenced women’s decision to terminate their pregnancy are presented. The results of the research have shown that the leading cause of abortion is unplanned pregnancy which arose against the background of difficult social conditions and financial difficulties. In 70% of cases, women who chose abortion had not been informed about modern methods of contraception as well as about its consequences and complications. 80% of respondents have noted that they did not have the opportunity to share their fears and experiences with qualified specialists having found themselves in a difficult life situation at the time of making a decision. In a number of cases, a previously performed abortion was complicated by the development of acute metroendometrium and salpingoophoritis in 26.7%, cervicitis in 6.8% of cases, and 3.4% of respondents were operated on due to tubal pregnancy. Thus, the results of the research have shown that it is important to solve this problem by creating an accessible information environment telling about the dangers of abortion and alternative methods of contraception for women of different age groups. Organization and implementation of offices to provide timely psychological assistance to women who find themselves in difficult life situations at the decision-making stage as well as social and financial support from government bodies for women who decide to end their pregnancy with childbirth

Jews of the Don in the 19&lt;sup&gt;th&lt;/sup&gt; – early 21&lt;sup&gt;st&lt;/sup&gt; century: geodemographic dynamics and reproductive processes in a regional community

The article analyzes the reproductive and migration processes, as well as the quantitative, spatial, gender, and age dynamics of the Jewish population in the Don region. It identifies the main periods of its geodemographic evolution in the 19th – early 21st centuries and examines the specificities of the settlement system and gender structure of urban and rural Jews. It has been established that the high level of urbanization and sociocultural modernization of the Don Jews activated the process of assimilation as early as at the beginning of the 20th century. Demographic losses of the community during the World War II predetermined its accelerated decline in the post-war period and further intensified assimilation tendencies. The reverse side of the growing assimilation since the 1920s–1930s has been the process of absolute growth and specific expansion of the regional group of mixed population with Jewish roots, which has not been recorded by the official statistics. For certain periods of the 20th – beginning of the 21st century, an assessment of this latent demographic component has been carried out. It is established that by the end of the 20th century, this group repeatedly exceeded the size of the ethnic core of the regional community and is currently a significant factor in the demographic reproduction and sociocultural life of the Jewish population of the Don region.

A STUDY ON CUSTOMER PERCEPTION TOWARDS MOBILE- WALLET AMONG YOUTH WITH SPECIAL REFERENCE TO COIMBATORE CITY (GPAY &amp; PHONEPE)

According to the examine it seems that many human beings truly consider the authorities at the usefulness of cashless financial system because it enables to combat towards terrorism, corruption, cash laundering however one largest hassle with inside the running of cashless financial system in India is cybercrime and unlawful get right of entry to number one facts. It became observed that demographic component anticipate schooling does now no longer have a good deal effect at the adoption of the virtual fee. It shows that adoption of virtual fee is inspired through the instructional degree of the Payments. The increase of customers of clever telecast smartphone and net penetration in such location additionally facilitated the adoption of virtual fee.

Evaluating the Impact of Environmental Performance and Socioeconomic and Demographic Factors on Land Use and Land Cover Changes in Kibira National Park, Burundi

In Kibira National Park, Burundi, socioeconomic and demographic factors lead to environmental performance challenges that impede biodiversity; thus, understanding the impact of these determinants on land use and land cover change is important to address these challenges. In this study, a multivariate analysis of variance (MANOVA) model was used to quantify the impact of socioeconomic and demographic factors on land cover/land use (LCLU) changes using Landsat images captured between 1990 and 2021. In addition, the impact of the environmental performance index (EPI), particularly ecosystem vitality (ECO), on landscape fragmentation was examined using a Spearman correlation analysis. A Pearson correlation analysis and a principal component analysis (PCA) were used to investigate the connections between the indicators of relevance in this study. The results reveal a decrease in forestland from 86.1% to 81.32%, a decrease in water bodies from 0.352% to 0.178%, and a decrease in open land from 2.124% to 1.134%, whereas grassland increased from 11.43% to 17.37% between 1990 and 2021. The landscape fragmentation in the edge density, contagion (CONTAG), largest patch index (LPI), number of patches (NP), and patch density (PD) was reduced in 2011 but increased again from 2016 to 2021, when only the ED fragmentation continued to decrease. The MANOVA results show that the rural population had a significant impact on LCLU changes at the 5% level of significance. Demographic factors significantly contributed to changes in grassland and forestland at a probability of 5%. In addition, moderately significant connections were observed between population growth per year and water and between gross domestic product (GDP) and grassland at the 10% level. ECO issues in ecosystem services (ECSs) were statistically significant for the increased fragmentation metrics, while biodiversity and habitat (BDH) were important for reducing the edge density (ED) at a 5% level of significance. The Pearson correlations showed a substantial positive relationship between the socioeconomic and demographic components, whereas a negative connection was found between the forestland and BDH indicators. These findings are essential for understanding the significant drivers of LCLU changes and the influence of environmental performance on the landscape pattern.