scholarly journals Social Determinants of Health of Child Marriage (Analysis of IFLS 2000, 2007, 2014)

2019 ◽  
Vol 15 (1) ◽  
pp. 62-68
Author(s):  
Tri Wahyudi ◽  
Mubasysyir Hasanbasri ◽  
Hari Kusnanto ◽  
Mohammad Hakimi

Early marriage is defined as a marriage of women aged <18 years old. The current world prevalence is declining, but when compared with the growth in population, the total number of married children tends to increase. Today, early marriage reaches 41.000 every day, especially in Sub-Saharan Africa and South Asia. This research aims to identify the social determinants of health that encourage early marriage. This research used a quantitative observational analytic study with cross-sectional design. The number of <18 year-old married women were 1.96% (IFLS5), <18 year-old married men were 0.15% (IFLS5). The average age at first birth was 22.96 years old. The economic status of early marriage was mostly in Quintile 1, and the majority of residences were in rural area. The ratio of married women and men aged <18 years old was 11-14: 1. Employment, education, residence and poverty were associated with early marriage and were statistically significant.

Author(s):  
Pietro Renzi ◽  
Alberto Franci

Background Social determinants of health (SDOH) have increasingly entered health policy conversations as a growing body of researches, reveal the direct relationship between social determinants and health outcome. In fact, the recent literature is moving from the traditional model that focus on how health affects economic status, to a new view that economic status affects health. Objectives To investigate the principal conceptual frameworks for action on social determinants of health. Another aim is to contribute on the ongoing discourse on feasible measures which could be used to alert regions to inequalities in the distribution of health. Methodology, Italian data are used as a demonstration. Quadrant charts illustrate associations between how much regions spend on health and how effectively health system functions. The relevant inequality measures are used to rank health inequalities. Main results Frameworks have been presented to help communities, health professionals and others begin to better understand and address a variety of factors that affects health. Quadrant analysis technique shows the extent to which spending more on health, translates into better health outcomes, higher quality of care and improve access to care across the Italian regions, whilst also recognition the importance of major risk factors. Conclusions The social inequalities in health and what this means for how we understand and reduce them, as not to date been compressively examined empirically. There is an urgent need to expand our knowledge with comparable data on health determinants and more refined health outcomes. Furthermore, there is a need for feasible inequality measures in the health information systems. The measures used in this study, provide a step to inform and guide the uptake of equity-sensitive policies.


2022 ◽  
Vol 21 (1) ◽  
pp. 179-202
Author(s):  
Mariel Heredia ◽  
Esther Carlota Gallegos Cabriales

Objective: Describe the relationship between social determinants of health and risk of type 2 diabetes mellitus in Mexican population.Methods: This was a cross-sectional descriptive correlational study of a sample of 256 individuals from a rural community in Sinaloa, Mexico. Data collection was carried out from October 2020 to February 2021. A snowball non-probability sampling method was used. The Instruments used were the International Physical Activity Questionnaire (IPAQ), short version, the IPAQ-A for adults, the IPAQ-C for children, and a sociodemographic, anthropometric, and clinical data sheet.Results: The most frequent risk indicators for T2DM for adults are hypertension (81.7%) and overweight/obesity (68.6%); in children, it was overweight/obesity (34.9%). The risk of T2DM increased according to age (r = .560, p < .01) but decreased as education level increased (r = −.127, p < .05)Conclusions: The approach to T2DM risk factors from the perspective of social determinants of health allows strategic healthcare planning that considers the contextual factors associated with a lifestyle that reinforces the actions of healthcare providers. Objetivo: Describir la relación de los determinantes sociales de salud con el riesgo de DMT2 en población mexicana.Métodos: Estudio descriptivo correlacional transversal, con una muestra de 256 individuos de una comunidad rural de Sinaloa, México. La recolección de datos se realizó durante octubre de 2020 y febrero de 2021. El muestreo fue no probabilístico por bola de nieve. Los instrumentos utilizados fueron el cuestionario internacional de actividad física (IPAQ) versión corta, IPAQ-A, IPAQ-C y una hoja de registro datos sociodemográficos, antropométricos y clínicos.Resultados: Los indicadores de riesgo de DMT2 con mayor frecuencia para adultos fue padecer hipertensión arterial (81.7%) y SP/OB (68.6%) y para menores de edad fue tener SP/OB (34.9%). Resultó que el riesgo de DMT2 se acrecentaba según lo hacía la edad (r = .560, p < .01) pero disminuía al aumentar la escolaridad de las personas (r = -.127, p < .05).Conclusiones: El abordaje de factores de riesgo de DMT2 bajo la perspectiva de los DSS brinda la oportunidad de plantear estrategias de salud que contemplen factores contextuales simultáneos al estilo de vida que refuercen las acciones del personal de salud para contribuir a la reducción de los índices de morbimortalidad causados por la DMT2.


2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Sheila V. Kusnoor ◽  
Taneya Y. Koonce ◽  
Suzanne T. Hurley ◽  
Kalonji M. McClellan ◽  
Mallory N. Blasingame ◽  
...  

Author(s):  
Jessica Wallace ◽  
Erica Beidler ◽  
Johna K. Register-Mihalik ◽  
Tamaria Hibbler ◽  
Abigail Bretzin ◽  
...  

Abstract Context: There is limited research concerning the relationship between social determinants of health, including race, healthcare access, socioeconomic status (SES), and physical environment; and, concussion nondisclosure in college-athletes. However, in high school athletes, disparities have been noted, with Black athletes attending under-resourced schools and lacking access to an athletic trainer (AT) disclosing fewer concussions. Objective: To investigate whether concussion nondisclosure disparities exist by 1) race, 2) SES, and 3) AT healthcare access prior to college; and to understand the differential reasons for concussion nondisclosure between Black and White college-athletes. Design: Cross-sectional Setting: College athletics Participants: 735 college-athletes (84.6% White, 15.4% Black) Main Outcome Measures: Participants completed a questionnaire that directly assessed concussion nondisclosure, including reasons for not reporting a suspected concussion. With the premise of investigating social determinants of health, race was the primary exposure of interest. The outcome of interest, nondisclosure, was assessed with a binary (yes/no) question, “Have you ever sustained a concussion that you did not report to your coach, athletic trainer, parent, teammate, or anyone else?” Results: Overall, among White and Black athletes 15.6% and 17.7% respectively reported a history of concussion nondisclosure. No significant differences were found by race for distributions of history of concussion nondisclosure (p=0.57). Race was not associated with concussion nondisclosure when evaluated as an effect modification measure or confounder; and, no significant associations were noted by SES or high school AT access. Differences by race for reported reasons for nondisclosure were found for: “At the time I did not think it was a concussion” (p=0.045) and “I thought my teammates would think I am weak” (p=0.03) with Black athletes reporting these more frequently than White athletes. Conclusions: These data help to contextualize race and its intersection with other social determinants of health that could influence concussion nondisclosure outcomes in college-athletes.


2021 ◽  
pp. 089011712110449
Author(s):  
Candace C. Nelson

Purpose This study aims to assess the relationship between social determinants of health (SDoH) burden and overall health. Design Three years of Behavioral Risk Factor Surveillance System (BRFSS) data (2017–2019) were combined for this cross-sectional study. Setting Massachusetts. Subjects Out of a possible 21,312 respondents, 16,929 (79%) were eligible for inclusion. Measures To create the SDoH summary measure, items assessing social risk experiences including financial instability (1 item), housing instability (2 items), perceptions of neighborhood crime (1 item), and food insecurity (2 items) were summed to create a count of risk experiences. Outcome measures included self-rated general health, days of poor physical health, and days of poor mental health. Analysis Multivariable logistic regression was used to evaluate the association between each outcome and the SDoH summary measure, adjusting for demographic confounders. Results In adjusted analyses, respondents who reported experiencing 1, 2, 3, or 4+ SDoH had a 1.6 (95% CI: 1.3–2.0), 2.9 (95% CI: 2.3–3.7), 3.2 (95% CI: 2.4–4.3), or 5.3 (95% CI: 4.0–7.0) increased odds (respectively) of self-rated fair/poor health, compared to those who reported zero SDoH. The adjusted relationship between the SDoH summary measure and physical health and mental health was similar in magnitude and statistically significant. Conclusions These results demonstrate that the overall burden of risk due to SDoH is an important predictor of health.


2015 ◽  
Vol 23 (2) ◽  
pp. 183-191 ◽  
Author(s):  
Gilmara Holanda da Cunha ◽  
Maria Luciana Teles Fiuza ◽  
Elucir Gir ◽  
Priscila de Souza Aquino ◽  
Ana Karina Bezerra Pinheiro ◽  
...  

OBJECTIVE: to analyze the quality of life (QoL) of men with AIDS from the perspective of the model of social determinants of health (MSDH). METHOD: cross-sectional study conducted in an outpatient infectious diseases clinic from a Brazilian university hospital over the course of one year with a sample of 138 patients. A form based on the MSDH was used to collect sociodemographic data addressing individual, proximal, intermediate determinants and the influence of social networks together with an instrument used to assess the QoL of people with HIV/AIDS. The project was approved by the Institutional Review Board (Protocol No. 040.06.12). RESULTS: according to MSDH, most men with AIDS were between 30 and 49 years old (68.1%), mixed race (59.4%), heterosexual (46.4%), single (64.5%), Catholic (68.8%), had a bachelor's degree (39.2%), had no children (61.6%), and had a formal job (71.0%). The perception of QoL in the physical, level of independence, environment, and spirituality domains was intermediate, while QoL was perceived to be superior in the domains of psychological and social relationship. A perception of lower QoL was presented by homosexual (p=0.037) and married men (p=0.077), and those with income below one times the minimum wage (p=0.042). A perception of greater QoL was presented by those without a religion (p=0.005), living with a partner (p=0.049), and those who had a formal job (p=0.045). CONCLUSION: social determinants influence the QoL of men with AIDS.


2019 ◽  
pp. 89-101 ◽  
Author(s):  
José M Ocampo Chaparro ◽  
Carlos A Reyes Ortiz ◽  
Ximena Castro Flórez ◽  
Fernando Gómez

Objective: To estimate the prevalence of frailty and evaluate the relationship with the social determinants of health in elderly residents in urban and rural areas of Colombia. Methods: The SABE (Health, Wellbeing, and Aging) Colombia project is a cross-sectional study, carried out in 2014-2015, involving 24,553 men and women aged 60 years and older who live in the community in Colombia. For this analysis, we used data from 4,474 participants included as a subsample with grip strength measurements. The frailty syndrome was diagnosed according to the Fried criteria (weakness, low speed, low physical activity, exhaustion, and weight loss). The independent variables were grouped as (a) biological and genetic flow, (b) lifestyle (adverse conditions in childhood) (c) social networks and community, and (d) socio-economic, cultural and environmental conditions. Multiple logistic and linear regression analyses were used to assess the prognostic value of frailty for the outcomes of interest. Results: The prevalence of frailty was 17.9%. The factors significantly associated with frailty were older age, being women, living in rural areas, having low education, a greater number of medical conditions, insufficient current income, childhood health problems and a poor economic situation in childhood. Conclusions: Our results support the need to include frailty prevention programs, to improve the socioeconomic health conditions of infants to avoid future development of frailty.


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