scholarly journals Socioeconomic inequalities in cardiometabolic control in patients with type 2 diabetes

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Berta Ibáñez ◽  
Arkaitz Galbete ◽  
María José Goñi ◽  
Luis Forga ◽  
Laura Arnedo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Socioeconomic Inequalities

scholarly journals Socioeconomic inequalities in type 2 diabetes among different population subgroups

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
B Safieddine ◽  
S Sperlich ◽  
J Beller ◽  
K Lange ◽  
J Epping ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Explanatory Power ◽  
Multivariate Logistic Regression Analysis ◽  
Socioeconomic Inequalities ◽  
School Education ◽  
Target Group ◽  
Lower Saxony ◽  
Important Target ◽  
Prevention Interventions

Abstract Background Type 2 diabetes (T2D) is a rising global epidemic with lower socioeconomic status (SES) groups being more affected. Considering specific population subgroups to examine prevalence and SES inequalities in T2D is rare. In addition, using only one indicator to depict SES inequalities in health has been a common practice despite evidence on differences in what different indicators measure. This study examines the prevalence of and SES (school education, occupation and income) inequalities in T2D in the three population subgroups: employed individuals, nonworking spouses and pensioners. This study also determines the SES indictor with the highest explanatory power. Methods This study is based on claims data from a statutory health insurance provider in Lower Saxony, Germany. T2D prevalence in the period between 2013 and 2017 was examined in 1,345,841 employed individuals, 180,949 nonworking spouses and 773,427 pensioners. Multivariate logistic regression analysis was applied to examine SES inequalities in T2D in the three subgroups. Explanatory power of the three SES indicators was compared by deviance analysis. Results T2D prevalence was four times higher in male nonworking spouses (24.2%) and 2.6 times higher in female nonworking spouses (12.7%) compared to employed men (6.4%) and women (4.7%) respectively, while it accounted for 40% of men and 36% of women in pensioners. Clear gradients in T2D inequalities emerged for all three SES indicators and were observed in the three population subgroups. School education had the highest explanatory power in employed men and women and male nonworking spouses. Conclusions Nonworking spouses are an important target group in T2D prevention interventions. The three SES indicators differ in their explanatory power where low school education appears to be a major risk factor. It can be discussed that health literacy and the associated health behavior play a role in mediating the association between education and T2D. Key messages The population subgroup “nonworking spouses” is an important target group for type 2 diabetes prevention interventions. The level of school education is a substantial determinant of socioeconomic inequalities in type 2 diabetes.

scholarly journals Socioeconomic inequalities in type 2 diabetes in employed individuals, nonworking spouses and pensioners

2020 ◽  
Vol 11 ◽  
pp. 100596
Author(s):  
Batoul Safieddine ◽  
Stefanie Sperlich ◽  
Johannes Beller ◽  
Karin Lange ◽  
Jelena Epping ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Socioeconomic Inequalities

scholarly journals Disentangling socioeconomic inequalities of type 2 diabetes mellitus in Chile: A population-based analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (9) ◽  
pp. e0238534
Author(s):  
Manuel S. Ortiz ◽  
Baltica Cabieses ◽  
Marcela Oyarte ◽  
Paula Repetto
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Population Based ◽  
Socioeconomic Inequalities

scholarly journals Socioeconomic inequalities and type 2 diabetes complications: A systematic review

2020 ◽  
Vol 46 (2) ◽  
pp. 89-99 ◽  
Author(s):  
S. Tatulashvili ◽  
G. Fagherazzi ◽  
C. Dow ◽  
R. Cohen ◽  
S. Fosse ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Diabetes Complications ◽  
Socioeconomic Inequalities

scholarly journals Linking socioeconomic inequalities and type 2 diabetes through obesity and lifestyle factors among Mexican adults: a structural equations modeling approach

2020 ◽  
Vol 62 (2, Mar-Abr) ◽  
pp. 192 ◽  
Author(s):  
Edgar Denova-Gutiérrez ◽  
Delfino Vargas-Chanes ◽  
Sheyla Hernández ◽  
Paloma Muñoz-Aguirre ◽  
David Napier ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Lifestyle Factors ◽  
Socioeconomic Inequalities ◽  
Structural Equations ◽  
Structural Equations Modeling ◽  
Modeling Approach ◽  
Mexican Adults

scholarly journals Socioeconomic inequalities in the incidence and prevalence of type 2 diabetes mellitus in Europe

2013 ◽  
Vol 27 (6) ◽  
pp. 494-501 ◽  
Author(s):  
Albert Espelt ◽  
Carme Borrell ◽  
Laia Palència ◽  
Alberto Goday ◽  
Teresa Spadea ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Socioeconomic Inequalities

scholarly journals Neighborhood Influences on Physical Activity Among Low-Income African American Adults With Type 2 Diabetes Mellitus

2020 ◽  
Vol 46 (2) ◽  
pp. 181-190 ◽  
Author(s):  
Soim Park ◽  
Wayne W. Zachary ◽  
Joel Gittelsohn ◽  
Charlene C. Quinn ◽  
Pamela J. Surkan
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
African American ◽  
Low Income ◽  
Socioeconomic Inequalities ◽  
Neighborhood Environment ◽  
Care Providers

Purpose The purpose of the study was to explore the influences of the neighborhood environment on physical activity (PA) among people living with type 2 diabetes mellitus (T2DM) in a community with limited resources. Methods Participants were adults with T2DM and their family members or friends who help in the management of T2DM and who were living in a low-income African American (AA) community. Health care providers working in the neighborhood were also included. Using an emergent design, qualitative data were collected through 7 focus group discussions (N = 63) and 13 in-depth interviews. Verbatim transcriptions were analyzed via thematic coding to explore contextual factors that limit PA and meaning around neighborhood features that promote or discourage PA. Results Levels of PA were strongly limited by neighborhood insecurity and a lack of recreational facilities in the neighborhood. People with T2DM and physical/mobility disabilities were more affected by the neighborhood environment than those without disabilities, particularly due to perceived safety concerns and social stigma. Despite socioeconomic inequalities within neighborhoods, participants showed resilience and made efforts to overcome social-environmental barriers to PA, applied various coping strategies, and received social support. Conclusions Results suggested that in an underserved neighborhood, individual barriers to physical activity were amplified by neighborhood-level factors such as crime, especially among individuals who have T2DM and disabilities. Socioeconomic inequalities should be addressed further to improve management of T2DM and its complications.

scholarly journals Marked and widening socioeconomic inequalities in type 2 diabetes prevalence in Scotland

2021 ◽  
pp. jech-2021-217747
Author(s):  
Jack Wang ◽  
Sarah H Wild
Keyword(s):  
Type 2 Diabetes ◽  
Population Based ◽  
Socioeconomic Inequalities ◽  
European Standard ◽  
Medium Term ◽  
Relative Risks ◽  
Standard Population ◽  
European Standard Population ◽  
Index Of Multiple Deprivation

BackgroundThis study investigated the association between socioeconomic status and type 2 diabetes (T2D) prevalence in Scotland in 2021 and tested the null hypothesis that inequalities had not changed since they were last described for 2001–2007.MethodsData from a national population-based diabetes database for 35-to-84-year-olds in Scotland for 2021 and mid-year population estimates for 2019 stratified by sex and fifths of the Scottish Index of Multiple Deprivation were used to calculate age-specific prevalence of T2D. Age-standardised prevalence was estimated using the European Standard Population with relative risks (RRs) compared between the most (Q1) and least (Q5) deprived fifths for each sex, and compared against similar estimates from 2001 to 2007.ResultsComplete data were available for 255 764 people (98.9%) with T2D. Age-standardised prevalence was lowest for women in Q5 (3.4%) and highest for men in Q1 (11.6%). RRs have increased from 2.00 (95% CI 1.52 to 2.62) in 2001–2007 to 2.48 (95% CI 2.43 to 2.53) in 2021 for women and from 1.58 (95% CI 1.20 to 2.07) in 2007 to 1.89 (95% CI 1.86 to 1.92) in 2021 for men.ConclusionsSocioeconomic inequalities in T2D prevalence have widened between 2001–2007 and 2021. Further research is required to investigate potential medium-term effects of the COVID-19 pandemic.

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