Socioeconomic Domains Research Articles

Clinical Pharmacist Approach towards Effectiveness of Pulmonary Rehabilitation of the Patient with COPD: A Randomized Controlled Study

Abstract: Background: COPD is characterized by chronic obstruction of lung airflow that interferes with normal breathing and is not fully reversible. Pulmonary rehabilitation is widely accepted as a best result outcome treatment for COPD patients. Clinical pharmacist play a very important role in patient prescription analysis, promoting the Quality of life, patient education, in developing the drug regimen, sensitivity and allergic condition of the patient to the drugs, finding out any ADRs. Objectives: To compare and assess the impact of pharmacist approach on Health related quality of Life of COPD patients undergoing pulmonary rehabilitation at two different time point. Results: Total 112 patients were screened as per study criteria, 70 were recruited and randomized into control and intervention groups of 35 each, respectively. Compared to baseline QOL score, it was improved at the follow-up in intervention group. Out of 35 subjects 33 subjects has shown good and very good QOL (94.28%). All the domains of QOL were improved compared to control group at the follow-up. Highest improved domain was physical health domain among all (difference 25.83) and lowest was socio-economic domain (difference 12.14) Mean total score of quality of life at follow-up has the significant difference 18.1 (p<0.0001). Conclusion: This study elaborated that quality of life of patients with COPD undergoing pulmonary rehabilitation was improved after the clinical pharmacists approach when compared to only standard treatment (control group). Key words: COPD, Pulmonary rehabilitation, Collaborative approach, Pharmacist’s intervention, Pharmaceutical care, Quality of life.

Environmental quality model to have sustainable environment

The aim of this study is to propose environmental quality model in order to have sustainable environment. This survey study distributed the questionnaires to 375 persons of local community in Jakarta in Indonesia using Structural Equation Modeling (SEM). The research found that model suggested was good fit for the data. The study result presents that socio-economic domain have significant positive association with of environmental quality. However, the positive associations between ecological domain and meteorological domain was not confirmed in this study. The use intensity of water resources and food production have significant positive association with ecological domain. However, the relationship between waste management and ecological domain was not supported in this study. Air pollutant, water pollution, and earth temperature have significant positive connection with meteorological domain. Water shortages, human health problems, and community environmental awareness have significantly positive relationship with socio-economic domain. It can be concluded that environmental quality model hypothesized can be used for local community in Jakarta in Indonesia in order to have sustainable environment.

A Land Resources Planning Toolbox to Promote Sustainable Land Management

This paper provides a brief overview of how traditional concepts and approaches of land use planning have evolved into a more widely accepted vision of &amp;lsquo;land resources planning&amp;rsquo; and its requirements for participatory processes, involvement of multi-sectoral stakeholders, and multi-thematic information at appropriate scales. Given its comprehensive ambitions, land resource planning (LRP) has a growing demand for a wide-ranging toolset, encompassing different tools in the biophysical, socio-economic, and governance (in a form of guidelines, methods, approaches and support tools). In order to collate knowledge, experiences and lessons from the LRP tools users, the Food and Agriculture Organization of the United Nations (FAO) - Land and Water Division held a consultation process through a survey among a range of stakeholders operating at different levels, sectors and regions. The survey evidenced limited awareness about the current availability of tools for land use planning. To remedy this situation, FAO developed the Land Resources Planning Toolbox (LRPT), a web-based inventory of existing tools. The Toolbox makes distinguishing between the tools in the socio-economic domain, those in the biophysical and the ones combining the two domains. The Toolbox explains the ability and restrictions of the LRP tools and their appropriateness to different regions, stakeholders and levels, and can be searched according to several criteria. It is concluded that, the Toolbox offers a useful mechanism for knowledge sharing and exchange of recent tools to enhance participatory LRP. It also has a great potential to support sustainable land management and landscape restoration. In this way it addresses, indirectly, conflicts and competition over resources.

The effect of cognitive dysfunction on mid- and long-term mortality after vascular surgery

BackgroundIn recent decades, previous studies have noted the importance of frailty, which is a frequently used term in perioperative risk evaluations. Psychological and socioeconomical domains were investigated as part of frailty syndrome. The aim of this study was to assess the importance of these factors in mortality after vascular surgery.MethodsIn our prospective, observational study (ClinicalTrials.gov Identifier: NCT02224222), we examined 164 patients who underwent elective vascular surgery between 2014 and 2017. At the outpatient anaesthesiology clinic, patients completed a questionnaire about cognitive functions, depression and anxiety, social support and self-reported quality of life were assessed using a comprehensive frailty index, in addition to medical variables. Propensity score matching was performed to analyse the difference between patients and controls in a nationwide population cohort. The primary outcome was 4 year mortality. The Kaplan-Meier method and Cox regression analysis were used for statistical analyses.ResultsThe patients’ mean age was 67.05 years (SD: 9.49 years). Mini-Mental State Examination scores of less than 27 points were recorded for 41 patients. Overall mortality rates were 22.4 and 47.6% in the control and cognitive impairment groups, respectively (p = 0.013). In the univariate Cox regression analysis, cognitive impairment measured using age- and education-adjusted MMSE scores increased the risk of mortality (AHR: 2.842, 95% CI: 1.389-5.815, p = 0.004).ConclusionEven mild cognitive dysfunction measured preoperatively using the MMSE represents a potentially important risk factor for mortality after vascular surgery.

Development of integrated sustainability performance indicators for better management of smart cities

As the world population grows rapidly, the global energy demand increases exponentially and the technological advancements require more resilient infrastructure than ever, there is a strong need to develop innovative energy systems in smart cities. This paper introduces a novel model to assess cities for their smartness. A smart city is characterized by assessing 8 main domains including economy, environment, society, governance, energy, infrastructure, transportation, and pandemic resiliency. Each domain is evaluated by assessing several key parameters that reflect the condition of that domain in any given city. All indicators are measurable and can be assessed, which gives this approach more credibility and accuracy. This model has been applied on 20 cities worldwide. Enhancing the smart energy index by 25 % results in doubling the smart economy index for all cities. Furthermore, enhancing the GDP per capita by 50 % results in modest increase in the smart economy index. Smart governance has a positive and linear relationship with smart economy with a p value of 0.004. Montreal has the highest Smart City Index of 0.8 while Abuja has the lowest of 0.3. Socioeconomic and energy domains are critical domains that must be improved to achieve higher Smart City Index scores and therefore resilient and smart cities.

Unravelling the linkages of cryosphere and mountain livelihood systems: A case study of Langtang, Nepal

Globally, mountains are often characterized as fragile and hazardous terrains, with vast areas covered by the cryosphere. The livelihoods of communities in the Hindu Kush Himalayan region are closely linked with the cryosphere. But over the past few decades, communities in the region have experienced multiple changes, including those driven by climat e change, with direct and immediate impacts on their lives and livelihoods. In this study, we explore linkages between the cryosphere and high-mountain livelihoods using a social‒ecological system approach. It examines how the complex social‒ecological system in villages in Langtang Valley, Nepal, has evolved in response to both cryospheric and socioeconomic changes. The local communities perceive gradual but significant changes in the cryospheric system, such as receding and thinning glaciers, changing snowfall patterns, changes in temperature and precipitation patterns, and a growing incidence of cryosphere-related hazards, such as avalanches and landslides. Communities in the Langtang Valley are also facing a number of socioeconomic changes, resulting in changing aspirations, particularly among the youth. The growing disconnection between society and the surrounding cryosphere, with direct impacts on the transfer and growth of local knowledge systems, are discussed. These simultaneous changes in the cryosphere and the socioeconomic domain have also resulted in a homogenization of livelihood sources, with tourism emerging as the dominant source of livelihood. This has resulted in a dependence of the local population on food imported from outside the valley. A growing dependence on tourism for livelihoods, dependence on imports for food and other basic needs, and the lack of a risk reduction strategy might pose great risks for local lives and livelihoods in the long run. Interventions pertaining to diversifying livelihoods, harmonizing social capital, and hazard risk assessment are essential for strengthening linkages between cryosphere and the socioeconomic system.

A Study on the Association of Socioeconomic and Physical Cofactors Contributing to Power Restoration After Hurricane Maria

The electric power infrastructure in Puerto Rico suffered substantial damage as Hurricane Maria crossed the island on September 20, 2017. Despite significant efforts made by authorities, it took almost a year to achieve near-complete power recovery. In this study, we used spaceborne daily nighttime lights (NTL) imagery as a surrogate measure of power loss and restoration. We quantified the spatial and temporal extent of loss of electric power and trends in gradual recovery at the 889 county subdivisions for over eight months and computed days without service at the above tabulation areas. We formulated a Quasi-Poisson regression model to identify the association of the features from physical and socioeconomic domains with the power recovery effort. According to the model, the recovery time extended for areas closer to the landfall location of the hurricane, with every 50-kilometer increase in distance from the landfall corresponding to 30% fewer days without power (95% CI = 26% - 33%). Road connectivity was a major issue for the restoration effort, areas having a direct connection with hi-speed roads recovered more quickly with 7% fewer outage days (95% CI = 1% - 13%). The areas which were affected by moderate landslide needed 5.5% (95% CI = 1% - 10%), and high landslide areas needed 11.4% (95% CI = 2% - 21%) more days to recover. Financially disadvantaged areas suffered more from the extended outage. For every 10% increase in population below the poverty line, there was a 2% increase in recovery time (95% CI = 0.3% - 2.8%).

Oral Presentation

Oral Presentation

Geospatial approach for assessment of vulnerability to flood in local self governments

Recent years have shown a significant increase in the occurrence of floods globally, with an impact on habitation and different sectors of the economy. This, in turn, necessitates the use of different flood mitigation strategies, wherein flood vulnerability assessment plays a significant role. The proposed work presents a methodology that combines vulnerability under physical-environmental and socio-economic domains to assess the overall flood vulnerability at the local self-government level. The methodology was illustrated to the case of Aluva municipality, located on the banks of River Periyar, in Kerala state, India. The spatial variation of hazard inducing factors and population statistics were analysed using Geographic Information System (GIS) tools. The machine learning algorithm, Random Forest, which uses hazard inducing factors as input was implemented for the evaluation of physical-environmental vulnerability. The social vulnerability of the region was analysed using the GIS Multi-criteria decision analysis approach (MCDA), with criteria weights to incorporate the interests of different stakeholders. The critical combinations of the two domains of vulnerability in the assessment of the vulnerability to flood, to have efficient flood management in local self-government was demonstrated in this study and can be made use of for any flood event.

County-level phenomapping to identify disparities in cardiovascular outcomes: An unsupervised clustering analysis: Short title: Unsupervised clustering of counties and risk of cardiovascular mortality

IntroductionSignificant heterogeneity in cardiovascular disease (CVD) risk and healthcare resource allocation has been demonstrated in the United States, but optimal methods to capture heterogeneity in county-level characteristics that contribute to CVD mortality differences are unclear. We evaluated the feasibility of unsupervised machine learning (ML)-based phenomapping in identifying subgroups of county-level social and demographic risk factors with differential CVD outcomes. MethodsWe performed a cross-sectional study using county-level data from 2008 to 2018 from the Centers for Disease Control (CDC) WONDER platform and the 2020 Robert Wood Johnson County Health Rankings program. Unsupervised clustering was performed on 46 facets of population characteristics spanning the demographic, health behaviors, socioeconomic, and healthcare access domains. Spatial autocorrelation was assessed using the Moran’s I test, and temporal trends in age-adjusted CVD outcomes were evaluated using linear mixed effect models and least square means. ResultsAmong 2676 counties, 4 county-level phenogroups were identified (Moran’s I p-value <0.001). Phenogroup 1 (N ​= ​924; 24.5%) counties were largely white, suburban households with high income and access to healthcare. Phenogroup 2 counties (N ​= ​451; 16.9%) included predominantly Hispanic residents and below-average prevalence of CVD risk factors. Phenogroup 3 (N ​= ​951; 35.5%) counties included rural, white residents with the lowest levels of access to healthcare. Phenogroup 4 (350; 13.1%) comprised counties with predominantly Black residents, substantial cardiovascular comorbidities, and physical and socioeconomic burdens. Least square means in age-adjusted cardiovascular mortality over time increased in a stepwise fashion from 223 in phenogroup 1 to 317 per 100,000 residents in phenogroup 4. ConclusionsUnsupervised ML-based clustering on county-level population characteristics can identify unique phenogroups with differential risk of CVD mortality. Phenogroup identification may aid in developing a uniform set of preventive initiatives for clustered counties to address regional differences in CVD mortality.

Sexual Health Implications of COVID-19 Pandemic.

IntroductionA novel coronavirus (COVID-19) reached pandemic levels by March 11th, 2020, with a destructive impact across socioeconomic domains and all facets of global health, but little is known of its impact on sexual health.ObjectiveTo review current knowledge on sexual health-related containment measures during pandemics, specifically COVID-19, and focus on 2 main areas: intimacy and relational dynamics and clinical effects on sexual health.MethodsWe carried out a literature search encompassing sexual health and pandemic issues using Entrez-PubMed and Google Scholar. We reviewed the implications of the COVID-19 pandemic on sexual health regarding transmission and safe sex practices, pregnancy, dating and intimacy amid the pandemic, benefits of sex, and impact on sexual dysfunctions.ResultsCoronavirus transmission occurs via inhalation and touching infected surfaces. Currently, there is no evidence it is sexually transmitted, but there are sexual behaviors that pose a higher risk of infectivity due to asymptomatic carriers. Nonmonogamy plays a key role in transmission hubs. New dating possibilities and intimacy issues are highlighted. Sexual activity has a positive impact on the immune response, psychological health, and cognitive function and could mitigate psychosocial stressors. COVID-19 pandemic affects indirectly the sexual function with implications on overall health.ConclusionIncreased awareness of health-care providers on sexual health implications related to the COVID-19 pandemic is needed. Telemedicine has an imperative role in allowing continued support at times of lockdown and preventing worsening of the sexual, mental, and physical health after the pandemic. This is a broad overview addressing sexual issues related to the COVID-19 pandemic. As this is an unprecedented global situation, little is known on sexuality related to pandemics. Original research is needed on the topic to increase the understanding of the impact the current pandemic may have on sexual health and function.Pennanen-Iire C, Prereira-Lourenço M, Padoa A, et al. Sexual Health Implications of COVID-19 Pandemic. Sex Med Rev 2021;9:3–14.

Associations between stress exposure and new mothers’ brain responses to infant cry sounds

Exposure to severe stress has been linked to negative postpartum outcomes among new mothers including mood disorders and harsh parenting. Non-human animal studies show that stress exposure disrupts the normative adaptation of the maternal brain, thus identifying a neurobiological mechanism by which stress can lead to negative maternal outcomes. However, little is known about the impact of stress exposure on the maternal brain response to infant cues in human mothers. We examined the association of stress exposure with brain response to infant cries and maternal behaviors, in a socioeconomically diverse (low- and middle-income) sample of first-time mothers (N=53). Exposure to stress across socioeconomic, environmental, and psychosocial domains was associated with reduced brain response to infant cry sounds in several regions, including the right insula/inferior frontal gyrus and superior temporal gyrus. Reduced activation in these regions was further associated with lower maternal sensitivity observed during a mother–infant interaction. The findings demonstrate that higher levels of stress exposure may be associated with reduced brain response to an infant's cry in regions that are important for emotional and social information processing, and that reduced brain responses may further be associated with increased difficulties in developing positive mother–infant relationships.

Disparities by Skin Color Among Young African-American Women

Light-skin disadvantage (hypothesized to result from resentment by darker-skinned individuals) has been described in majority African-American populations but is less studied than dark-skin disadvantage. We investigated both light- and dark-skin disadvantage in a contemporary African-American study population. We used skin reflectance and questionnaire data from 1693, young African-American women in Detroit, Michigan, and dichotomized outcomes as advantaged/disadvantaged. We compared outcomes for women with light vs. medium skin color with prevalence differences (PDs) and 95% confidence intervals (CIs), and dark-skin disadvantage with prevalence ratios (PRs) and 95% CIs for a 10-unit increase in skin color. There was little evidence for light-skin disadvantage, but darker skin was associated with disadvantage across socioeconomic, health, and psychosocial domains. The strongest associations were for SES, but even controlling for SES, other associations included higher body mass index (PR 1.14 95% CI 1.08-1.20) and more stressful events (PR 1.10 95% CI 1.01-1.20). Dark-skin disadvantage was the predominant form of colorism. Skin color metrics in public health research can capture more information than simple racial/ethnic categories, and such research could bring awareness to the deep-rooted colorism in society.

Qualidade de vida de enfermeiros e sua relação com a alimentação e o cortisol

Objetivo: Avaliar a qualidade de vida de enfermeiros de um serviço público em Sinop-MT Metodologia: Estudo transversal com 33 enfermeiros. As variáveis sociodemográficas, de qualidade de vida, do consumo alimentar e antropométricas foram obtidas através de quatro questionários autoaplicáveis. O cortisol plasmático foi coletado e avaliado por laboratório privado da região. As análises foram realizadas pelo Statistical Package for the Social Sciences e Graph Pad Prism, com nível de significância de 5%. Resultados e Conclusões: Houve predomínio de enfermeiros casados, do sexo feminino e de classe econômica A ou B. O escore de alimentação correlacionou-se positiva e significantemente com o dominio psicológico e nível de cortisol. O cortisol médio foi de 11,6 ug/dle correlacionou-se positiva e significantemente com os domínios físico, ambiente e ao escore geral de qualidade de vida. O peso corporal correlacionou-se inversa e significantemente com os domínios físico, psicológico, ambiente, o escore geral de qualidade de vida e à classe socioeconômica. Os enfermeiros possuem alto nível socioeconômico e baixa prevalência de excesso de peso. A percepção da qualidade de vida geral e nos seus quatro domínios pelos enfermeiros estudados foi regular e boa. O consumo alimentar e outros hábitos de vida apresentaram-se razoáveis, requerendo atenção por parte destes profissionais.

Implementation of robotic devices in nursing care. Barriers and facilitators: an integrative review.

BackgroundRobots in healthcare are gaining increasing attention; however, their implementation is challenging due to the complexity of both interventions themselves and the contexts in which they are implemented. The objective of this integrative review is to identify barriers to and facilitators of the implementation of robotic systems in nursing.MethodsArticles published from 2002 to 2019 reporting on projects to implement robotic devices in nursing care were searched on Medline (via PubMed), CINAHL and databases on funded research projects (Community Research and Development Information Services and Technische Informationsbibliothek) and in journals for robotic research in November 2017 and July 2019 for an update. No restrictions regarding study designs were imposed. All included articles underwent quality assessments with design-specific critical appraisal tools. Barriers to and facilitators of implementation were classified using the Context and Implementation of Complex Interventions framework.ResultsAfter removing all duplicates, the search revealed 11 204 studies, of which 17 met the inclusion criteria and were included in the synthesis. The majority of the studies dealt with the implementation of robots designed to support individuals, either living at home or in nursing homes (n=11). The studies were conducted in Europe, the USA and New Zealand and were carried out in nursing homes, individual living environments, hospital units and laboratories. The quality of reporting and quality of evidence were low in most studies. The most frequently reported barriers were in socioeconomic and ethical domains and were within the implementation outcomes domain. The most frequently reported facilitators were related to the sociocultural context, implementation process and implementation strategies.DiscussionThis review identified barriers to and facilitators of the implementation of robotic devices in nursing within different dimensions. The results serve as a basis for the development of suitable implementation strategies to reduce potential barriers and promote the integration of elements to facilitate implementation.PROSPERO registration numberCRD42018073486.

Geospatial analysis of female fertility in Oman: do immigrant female domestic workers make a difference?

ABSTRACT Despite the progress achieved in transformational development in socioeconomic domains, in Oman, like other Gulf Cooperation Council states, fertility rates are higher compared with those in other Middle East nations. Reproductive behaviour often varies geographically; consequently, analysing and modelling this phenomenon should be conducted at subnational and finer levels to capture spatial heterogeneity patterns. In this research, data from the last Omani census are used and local indicators of spatial associations (LISA) as well as spatial econometric models have been employed to examine the effects of sociocultural factors, particularly foreign female domestic workers, on local fertility variations. Remarkable spatial differences were observed in the effects of structural covariates on fertility rates. Several spatial clusters indicate a correlation between higher fertility rates and higher values of other explanatory sociocultural variables. Furthermore, the subnational variations of fertility rates are significantly explained by geographical and sociocultural factors, such a surban-rural settlement, education, female employment in governmental sectors, unemployed women, and the proportion of foreign female domestic workers. The findings also reveal that the rural and Bedouin communities, particularly in the internal governorates, not only displayed higher fertility rates, but also had more unemployed women.

Use of time-varying and time-constant coefficient in hazard event analysis of Girl’s child marriage: A study from the Empowered Action Group (EAG) states of India

IntroductionPractice of child marriage in India still is not an uncommon event and considered as one of the social evil that should be addressed properly. Enactment of law is still far from eliminating the practices of girl child marriage and it remains a widespread practice in the Empowered Action Group (EAG) states in India. ObjectiveThe study examines the effect of selected time varying and time constant coefficients on the prevalence of girl child marriage in the EAG states. In this regard the study has incorporated 4th round (2015–2016) of National Family Health Survey data. MethodsCox regression hazard model were employed to assess how likelihood of hazard (girl’s child marriage) vary in different socio-economic domains. Girls’s are susceptible to get marriage prior to completion of 18 years age, considered as a hazard or failure otherwise survived from the hazard. ResultsFindings consolidated and revealed the ground truth that there has a significant association between girl child marriage and respondent’s wealth status, level of education, place of residence, as well as their religious belief and caste/tribe affiliation. Girls with no education or primary level of education, living in rural areas belong to poorest or poorer wealth quintile are more likely to be married at an early age. The likelihood of marriage of girl child is also higher among those girls whose religious belief is Hindu and affiliated to general category. ConclusionFindings suggest that by facilitating the educational opportunity for girls, economic support to families belongs to poorest categories, increasing awareness in rural area about the adverse effect of early childhood marriage are the key and effective steps to mitigate the issue with a coordinated way.

Correlates of the Abnormal Involuntary Movement Scale in Veterans With Tardive Dyskinesia.

To add to limited evidence on the Abnormal Involuntary Movement Scale (AIMS) as a measure of tardive dyskinesia (TD) in clinical practice settings, the characteristics and correlates of AIMS scores were assessed. Veterans with schizophrenia/schizoaffective, bipolar, or major depressive disorders receiving antipsychotics and at least 1 AIMS score during October 1, 2014, to September 30, 2015, were identified. Tardive dyskinesia was determined by the International Classification of Diseases, Ninth Revision, Clinical Modification, codes. Correlates of AIMS scores were examined using χ or t tests. Odds ratios and β parameters with 95% confidence intervals for categorical and continuous variables associated with AIMS scores were derived from a multivariate logistic and linear regression, respectively. Among 7985 veterans receiving antipsychotics, only 4706 (58.9%) had at least 1 AIMS examination. Of these, 229 (4.9%) were diagnosed with possible TD. The mean total AIMS scores and AIMS awareness/incapacitation scores were significantly higher for patients with TD (both P < 0.0001). Comparing diagnostic threshold criteria of AIMS ratings, only 17.5% to 37.1% of veterans with TD were successfully identified. Among TD patients, 21.4% had a total score of moderate-severe and 15.3% had ratings of at least mild movements in 2 or more body regions. In the regression analyses, being older, African-American, having schizophrenia/schizoaffective disorder, and receiving antipsychotics or benztropine significantly increased the severity of AIMS scores. Higher AIMS scores were not predictive of outcomes other than marital status in socioeconomic or healthcare domains. Although the AIMS is essential for TD research, its value in clinical practice without training and oversight remains unclear. Efforts to adapt screening procedures to clinical needs may be worthwhile.

Socioeconomic and Political Issues in Transportation Public–Private Partnership Failures

Transportation public–private partnership (PPP) projects are long-term projects that usually break the status quo of public ownership. In fact, opposition to PPP projects stems from a variety of factors, such as political influence to favor certain interest groups and high toll prices. Close examination reveals that vulnerability to societal and political domains originates at certain individual points and creates a complex web of problems as it propagates through different socioeconomic and political levels and project stages. This article attempts to unveil such complex and problematic trends by analyzing ten failed transportation PPP projects to identify critical socioeconomic and political failure factors. Employing questionnaire surveys and path analysis, a failure-mechanism model is developed to depict all possible transportation PPP project vulnerabilities to the socioeconomic and political domains. This article's failure-mechanism model could act as a vulnerability-prediction model for transportation PPP practitioners in the public and private sectors, and it can help better understand socioeconomic and political issues’ impacts to transportation PPP projects.

Philosophical Transmission and Contestation

Southern Vietnam was reclaimed by the Vietnamese in the mid-seventeenth century. They first brought their folk Buddhism and various popular religions to new land; however, the bureaucratic system then forced the Chinese Han–Song dynasties’ institutionalized and politicalized Confucianism on the population. The arrival of the Chinese from overseas since the late seventeenth century marked the introduction of Qing Confucianism into Southern Vietnam, shaping the pro-Yangming studies among local literati. Many writers claim that Qing Confucianism had no impact on Vietnam. Obviously, however, these writers ignored the diversity of Vietnamese Confucianism in the new frontiers in the South. Qing Confucianism was truly absorbed into many aspects of life among the local gentry, popularizing the so-called pro-Yangming studies.The article aims to study the transmission, contestation, transformation, and manipulation of Qing Confucianism in Southern Vietnam by penetrating deeper into the life, career, mentality, merits, and influence of local Confucianists and reviving the legacies of practical learning in local scholarship. The research discovers that the practical learning of Qing Confucianism dominated the way of thinking and acting of local elites, affecting ideological, educational, cultural and socio-economic domains of local society. However, the domination of the classical Confucian orthodoxy and the lack of state-sponsored institutionalization in late feudal periods, as well as the later overwhelming imposition of Western civilization under French colonial rule, seriously challenged and downgraded the impacts of Qing Confucianism in Vietnam. Therefore, Yangming studies were once transmitted but had limited impact on Vietnam.