scholarly journals Social determinants of malnutrition in Chilean children aged up to five

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Sandra Alvear-Vega ◽  
Héctor Vargas-Garrido
Keyword(s):  
Social Determinants ◽  
Reference Group ◽  
Multinomial Logistic Regression ◽  
Geographical Location ◽  
Vulnerable Groups ◽  
Outcome Variable ◽  
Multinomial Logistic Regression Model ◽  
The North ◽  
The Social ◽  
Child Nutritional Status

Abstract Background This study aimed to ascertain the Social Determinants (SDs) of malnutrition (over and undernutrition) of Chilean children aged up to five. Methods The study was carried out using a sample of children from zero to five years old (n = 1,270,485; 52.2% female) from the National Socioeconomic Characterization Survey (CASEN) 2017. A multinomial logistic regression model was used, where the “child nutritional status” outcome variable assumed three possible values: normal nutrition, overnutrition, and undernutrition, while taking those variables reported in previous literature as independent variables. Results The model, by default, set normal nutrition as the reference group, Count R2 = 0.81. Results show a higher likelihood of both overnutrition and undernutrition among male children from the lowest quintiles, with native ethnic backgrounds, reporting health problems, having public health insurance, and who attend kindergarten. Additionally, higher probabilities of undernutrition in younger than two and living in the north of the country, while overnutrition is more likely in the south. Conclusions Socioeconomic variables are fundamentally related to both over and undernutrition; the current single schema program to prevent malnutrition should consider SDs such as ethnicity and geographical location, among others; moreover, successful nutritional programs—which focused on the lowest quintiles, need to be expanded to other vulnerable groups and pay more attention to overnutrition.

Social Determinants of Malnutrition in Chilean Children Aged Under Five

2021 ◽  
Author(s):  
Sandra Alvear-Vega ◽  
Héctor Vargas-Garrido
Keyword(s):  
Social Determinants ◽  
Reference Group ◽  
Multinomial Logistic Regression ◽  
Geographical Location ◽  
Vulnerable Groups ◽  
Multinomial Logistic Regression Model ◽  
Under Five ◽  
The North ◽  
The Social ◽  
Child Nutritional Status

Abstract Background: This study aimed to ascertain the Social Determinants (SDs) of malnutrition (over and undernutrition) of Chilean children aged under five.Methods: The study was carried out using a sample of children from zero to five years old (n = 1,270,485; 52.2% female) from the National Socioeconomic Characterization Survey (CASEN) 2017. A multinomial logistic regression model was used, where the "child nutritional status" dependent variable assumed three possible values: normal nutrition, overnutrition, and undernutrition, while taking those variables reported in previous literature as control variables.Results: The model, by default, set normal nutrition as the reference group, Count R2 = 0.81. Results show a higher likelihood of both overnutrition and undernutrition among male children from the lowest quintiles, with native ethnic backgrounds, reporting health problems, having public health insurance, and who attend kindergarten. Additionally, higher probabilities of undernutrition in younger than two and living in the north of the country, while overnutrition is more likely in the south.Conclusions: Socioeconomic variables are fundamentally related to both over and undernutrition; the current single schema program to prevent malnutrition should consider SDs such as ethnicity and geographical location, among others; moreover, successful nutritional programs—which focused on the lowest quintiles, need to be expanded to other vulnerable groups and pay more attention to overnutrition.

A TODIM-based approach for the assessment of social vulnerability in Jiangsu province from 2012 to 2017

2021 ◽  
pp. 1-15
Author(s):  
Xiaobing Yu ◽  
Xuejing Wu ◽  
Hong Chen ◽  
Xuming Wang ◽  
Chenliang Li ◽  
...  
Keyword(s):  
Vulnerability Assessment ◽  
Social Vulnerability ◽  
Local Economic Development ◽  
Geographical Location ◽  
Jiangsu Province ◽  
Three Dimensions ◽  
The North ◽  
The Social ◽  
North Part ◽  
Social Vulnerability Assessment

Social vulnerability assessment is of great significance for risk management and reduction. Carrying out the assessment is beneficial to the sustainability of the development of society and the economy. For this purpose, Jiangsu province in China is taken as the study area to explore the social vulnerability assessment at a city level. A framework has been constructed from three dimensions of demographics, economics, and social security. In our study, a new approach based on the maximizing deviation method and TODIM model is proposed to evaluate social vulnerability in Jiangsu province. For the sake of analysis, we divide 13 cities of Jiangsu province into three parts, namely the southern part, central part, and northern part, according to the geographical location. As a result, the north part performance of social vulnerability is the worst among the three regions. The average of the northern part has always obviously exceeded the others of Jiangsu province from 2012 to 2017, which indicates that the north part is the most vulnerable to natural hazards. In addition, the performance of the southern part is relatively better than that of the central region. Especially, Suqian has always been at the bottom from 2012 to 2017, which reveals the ability to withstand natural disasters is the most insufficient. Our findings also imply that social vulnerability is related to local economic development to some extent.

Acceptance of Prostitution and Its Social Determinants in Canada

2015 ◽  
Vol 61 (10) ◽  
pp. 1171-1190 ◽  
Author(s):  
Liqun Cao ◽  
Ruibin Lu ◽  
Xiaohan Mei
Keyword(s):  
Social Determinants ◽  
Structural Equation ◽  
Public Attitude ◽  
Law Reform ◽  
Equation Modeling ◽  
Outcome Variable ◽  
Direct And Indirect Effects ◽  
Direct Effects ◽  
The Public ◽  
The Social

The nature of collective perception of prostitution is understudied in Canada. Except some rudimentary reports on the percentages of the key legal options, multivariate analysis has never been used to analyze the details of public opinion on prostitution. The current study explores the trend of public attitude toward prostitution acceptability in Canada over a 25-year span and examines the social determinants of the acceptability of prostitution, using structural equation modeling (SEM), which allows researchers to elaborate both direct and indirect effects (through mediating variables) on the outcome variable. Results show that the public has become more acceptant of prostitution over time. In addition, the less religious, less authoritarian, and more educated are more acceptant of prostitution than the more religious, more authoritarian, and less well educated. The effects of religiosity and authoritarianism mediate out the direct effects of age, gender, gender equality, marriage, marriage as an outdated institution, Quebec, race, and tolerance. The findings may serve as a reference point for the law reform regarding the regulation of prostitution in Canada.

scholarly journals A Quantitative Study Exploring the Social Determinants of Health in the North West Region of Cameroon

2020 ◽  
Vol 6 (1) ◽  
pp. 8
Author(s):  
Joel Ngwa Ambebila ◽  
Ebenezer Obi Daniel ◽  
Paul Olaiya Abiodun ◽  
Israel Olukayode Popoola ◽  
Stellamaris Moronkeji ◽  
...  
Keyword(s):  
Social Determinants Of Health ◽  
Quantitative Study ◽  
Social Determinants ◽  
Determinants Of Health ◽  
North West ◽  
The North ◽  
West Region ◽  
The Social

scholarly journals Determinantes sociais de pacientes com neoplasia peniana

2019 ◽  
Vol 13 (2) ◽  
pp. 338
Author(s):  
Vander Monteiro da Conceição ◽  
Alexandre Inácio Ramos ◽  
Jeferson Santos Araújo ◽  
Rafaela Azevedo Abrantes de Oliveira ◽  
Julia Valéria de Oliveira Vargas Bitencourt ◽  
...  
Keyword(s):  
Social Determinants ◽  
Skin Color ◽  
Preventive Measures ◽  
University Hospital ◽  
Vulnerable Groups ◽  
White Skin ◽  
Oncology Nurse ◽  
The Social ◽  
Quantitative Descriptive ◽  
Medical Surgical Nursing

RESUMOObjetivo: descrever os determinantes sociais dos pacientes diagnosticados com câncer de pênis atendidos em um hospital universitário. Método: trata-se de um estudo quantitativo, descritivo e retrospectivo, em que se procedeu à busca pelas características dos adoecidos atendidos entre os anos de 1982 e 2013. Analisaram-se e se tabularam os dados pela estatística descritiva, após a apresentação em tabelas e figuras. Resultados: compôs-se o estudo por 107 pacientes, entre estes, prevaleceu a idade média de 63,7 anos, casados, com cor da pele branca e ensino fundamental completo e aposentados. Conclusão: conclui-se que os determinantes sociais podem servir de base para que o enfermeiro oncológico identifique grupos vulneráveis e, assim, estabelecer medidas preventivas e educação em saúde para aqueles que estão em risco da doença. Descritores: Neoplasias Penianas; Enfermagem Oncológica; Saúde do Homem; Neoplasias; Enfermagem; Enfermagem Médico-Cirúrgica.ABSTRACT Objective: to describe the social determinants of patients diagnosed with penile cancer treated in a university hospital. Method: this is a quantitative, descriptive and retrospective study, in which the characteristics of the patients treated between 1982 and 2013 were searched. The data was analyzed and tabulated by descriptive statistics, after the presentation in tables and figures. Results: the study was composed by 107 patients, among these, the average age of 63.7 years prevailed, married, with white skin color and complete primary education and retirees. Conclusion: it can be concluded that social determinants can serve as a basis for the oncology nurse to identify vulnerable groups and, thus, establish preventive measures and health education for those who are at risk of the disease. Descriptors: Penile neoplasias; Nursing Oncology; Men's Health; Neoplasias; Nursing; Medical-Surgical Nursing. RESUMEN Objetivo: describir los determinantes sociales de los pacientes diagnosticados con cáncer de pene atendidos en un hospital universitario. Método: se trata de un estudio cuantitativo, descriptivo y retrospectivo, en que se procedió a la búsqueda por las características de los enfermos atendidos entre los años 1982 y 2013. Se analizaron y se tabularon los datos por la estadística descriptiva, después de la presentación en tablas y figuras. Resultados: se compuso el estudio por 107 pacientes, entre éstos, prevaleció la edad media de 63,7 años, casados, con color de la piel blanca y enseñanza básica completa y jubilados. Conclusión: se concluye que los determinantes sociales pueden servir de base para que el enfermero oncológico identifique a grupos vulnerables y, así, establecer medidas preventivas y educación en salud para aquellos que están en riesgo de la enfermedad. Descritores: Neoplasias del Pene; Enfermagem Oncológica; Salud del Hombre; Neoplasias; Enfermería; Enfermería Médico-Quirúrgica.

Application of Deep Learning for Level of Engagement in Civic Activities Prediction in Emerging Adulthood for Smart City Development

2021 ◽  
Author(s):  
Hyemin Han
Keyword(s):  
Deep Learning ◽  
Emerging Adulthood ◽  
Data Science ◽  
Logistic Regression Model ◽  
Smart Cities ◽  
Multinomial Logistic Regression ◽  
Outcome Variable ◽  
City Development ◽  
Multinomial Logistic Regression Model ◽  
Political Purpose

We applied the deep learning method, which has been developed in the fields of computer and data science for accurate prediction, to predict political purpose development during emerging adulthood. We tested whether deep learning more accurately predicted Wave 2 political purpose with Wave 1 predictors compared with traditional regression. A convolutional neural network consisting of two dense and dropout layers was trained to predict the outcome variable. For comparison, we also estimated a multinomial logistic regression model. The result demonstrated that deep learning outperformed traditional regression in general while effectively minimizing overfitting. Moreover, from exploratory analysis, we found that deep learning might be able to model the non-linear relationship between the predictors and outcome variable. Based on the findings, we discussed the implications of the present study within the context of improving citizens’ lives in smart cities.

scholarly journals Politics, policies and processes: a multidisciplinary and multimethods research programme on policies on the social determinants of health inequity in Australia

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e017772 ◽  
Author(s):  
Fran Baum ◽  
Sharon Friel
Keyword(s):  
Critical Discourse Analysis ◽  
Health Equity ◽  
Social Determinants ◽  
Media Coverage ◽  
Reference Group ◽  
Research Programme ◽  
Health Inequities ◽  
Policy Makers ◽  
The Social ◽  
The Impact

IntroductionThe development and implementation of multisectoral policy to improve health and reduce health inequities has been slow and uneven. Evidence is largely focused on the facts of health inequities rather than understanding the political and policy processes. This 5-year funded programme of research investigates how these processes could function more effectively to improve equitable population health.Methods and analysisThe programme of work is organised in four work packages using four themes (macroeconomics and infrastructure, land use and urban environments, health systems and racism) related to the structural drivers shaping the distribution of power, money and resources and daily living conditions. Policy case studies will use publicly available documents (policy documents, published evaluations, media coverage) and interviews with informants (policy-makers, former politicians, civil society, private sector) (~25 per case). NVIVO software will be used to analyse the documents to see how ‘social and health equity’ is included and conceptualised. The interview data will include qualitative descriptive and theory-driven critical discourse analysis. Our quantitative methodological work assessing the impact of public policy on health equity is experimental that is in its infancy but promises to provide the type of evidence demanded by policy-makers.Ethics and disseminationOur programme is recognising the inherently political nature of the uptake, formulation and implementation of policy. The early stages of our work indicate its feasibility. Our work is aided by a Critical Policy Reference Group. Multiple ethics approvals have been obtained with the foundation approval from the Social and Behavioural Ethics Committee, Flinders University (Project No: 6786).The theoretical, methodological and policy engagement processes established will provide improved evidence for policy-makers who wish to reduce health inequities and inform a new generation of policy savvy knowledge on social determinants.

scholarly journals Social Determinants of Traumatic Brain Injury in the North American Indigenous Population: A Review

2017 ◽  
Vol 44 (5) ◽  
pp. 525-531 ◽  
Author(s):  
Kaitlin J. Zeiler ◽  
Frederick A. Zeiler
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Social Determinants ◽  
North American ◽  
Interpersonal Violence ◽  
Indigenous Population ◽  
Indigenous Populations ◽  
Cochrane Library ◽  
The North ◽  
The Social

AbstractObjective:Given the difficult to navigate literature on social determinants in Indigenous traumatic brain injury (TBI) we wished to identify all available literature on the social determinants of health linked to TBI in the North American Indigenous populations.Methods:We performed a systematically conducted review. We searched MEDLINE, BIOSIS, EMBASE, Global Health, SCOPUS, and Cochrane Library from inception to January 2016. A two-step review process of the search results was performed, applying defined inclusion/exclusion criteria. The final group of articles had the data extracted and summarized.Results:Ten manuscripts were identified to discuss some social determinant linked to TBI in the North American Indigenous populations. Two studies were focused on Canadian populations, with the remaining 8 studies focused on populations within the United States. Six social health determinants were identified within the studies, including: Rural location (Physical Environment) in seven studies, Male gender in five studies and Female gender in one study (in the setting of interpersonal violence) (Gender), Substance use in four studies and failure to utilize personal protective equipment in one study (Personal Health Practices and Coping Skills), Interpersonal Violence in one study (Social Environment), availability of rehabilitation services in one study (Health Services), and lack of family and friend presence during meetings with healthcare professionals in one study (Social Support Network).Conclusions:To date, little literature is available on the social determinants that impact TBI in the North American Indigenous population. Further research is warranted to better determine the incidence and social determinants associated.

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