Childhood Socioeconomic Status and Type 2 Diabetes Mellitus among Mid-late Chinese: A Structural Equation Modeling Analysis

2020 ◽  
Author(s):  
xiaoning zhang ◽  
xue jiang ◽  
qiong zhou
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Socioeconomic Status ◽  
Type 2 Diabetes Mellitus ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Childhood Socioeconomic Status

Abstract Objectives This present study was aimed to examine the associations between childhood socioeconomic status (CSES) and type 2 diabetes mellitus (T2DM) among mid-late Chinese and disentangle the pathways using structural equation modelling (SEM). Methods Using cross-sectional data from China Health and Retirement Longitudinal Study (CHARLS), this study included 19767 participants aged 45 and over. SEM models were constructed to decompose the intricate relationships between CSES, childhood health history (CHH), adulthood socioeconomic status (ASES), health-related behaviors (HRB) and T2DM. Results The results showed that T2DM was significantly associated with CSES (sβ = -0.239; P = 0.001), CHH (sβ = -0.016; P = 0.005) and ASES (sβ = -0.180; P = 0.002) directly, While the indirect effect of CSES on T2DM was sβ = -0.111; P = 0.001with an acceptable goodness-of-fit. The model presented an acceptable goodness of fit: RMSA0.082, CFI 0.803, GFI 0.938, AGFI 0.904, and SRMR 0.060. Conclusions CSES had direct and indirect effects on later incidence of T2DM, which was mediated by ASES and CHH, supporting the life course theory, indicating that optimal interventions should be conducted in the early stages of life to narrow the socioeconomic and obtain maximal health benefits.

scholarly journals The Effect of Social Support on Glycemic Control in Patients with Type 2 Diabetes Mellitus: The Mediating Roles of Self-Efficacy and Adherence

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Yechang Shao ◽  
Lu Liang ◽  
Linjing Shi ◽  
Chengsong Wan ◽  
Shouyi Yu
Keyword(s):  
Diabetes Mellitus ◽  
Social Support ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Self Efficacy ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Ample Evidence

Ample evidence suggests that social support, self-efficacy, and adherence significantly, independently, and together affect glycemic control in patients with type 2 diabetes mellitus (T2DM), but the pathway from social support to glycemic control remains unclear. This study hypothesized that the effect of social support on glycemic control was mediated sequentially by self-efficacy and adherence. Patients with T2DM were recruited from two hospitals in Guangzhou, China, from January 1 to July 31, 2014, and their sociodemographic clinical data and their assessments on social support, self-efficacy, and adherence were obtained from medical records and self-completed questionnaires. Of the 532 patients who participated, 35% achieved glycemic control (i.e., HbA1c < 7%). Social support, self-efficacy, and adherence had significant correlations with each other and with glycemic control (P<0.05). Regression analyses and structural equation modeling showed that better social support was associated to better patient self-efficacy, which, in turn, was associated with better medical adherence, which was associated with improved glycemic control, and the relationship between social support and glycemic control was sequentially and completely mediated by self-efficacy and adherence. The five goodness-of-fit indices confirmed that our data fitted the hypothesized pathway model strongly.

scholarly journals PREVALENCE OF TYPE 2 DIABETES MELLITUS AND ITS ASSOCIATION WITH SOCIOECONOMIC STATUS IN KANDAHAR CITY: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 21 (3) ◽  
pp. 26-35
Author(s):  
Abdul Wahed Wasiq ◽  
Najibullah Fazli ◽  
Abdul Nasir Ahadi ◽  
Mohammad Zakariya Amirzada ◽  
Mohammad Sami Hayat ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Socioeconomic Status ◽  
Type 2 Diabetes Mellitus ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Study Population

Diabetes mellitus is a chronic disease with a life long duration and generally of gradual progression. Beside the upward trend in the prevalence rate, diabetes and its complications also have a significant economic impact on countries and their health systems. This study was aimed to assess the prevalence of type 2 diabetes mellitus (T2DM) and its association with socioeconomic status (SES) in the urban population of Kandahar city. A population-based cross-sectional study was conducted from January 2019 to May 2019 in the urban area of Kandahar province. A total of 1308 subjects, 837 (64%) women and 471 (36%) men, were included in the study. Data on sociodemographic characteristics, medical history, dietary intake and physical activity were collected in a standardized questionnaire. Diagnosis of diabetes was established according to the WHO criteria. Mean age (SD) was significantly higher in men than in women (50.3 (14.4) vs. 44.9 (11.4) years). The difference in BMI was not significant between men and women (28.1 vs. 28.7 kg/m2). Majority of the study population was aged 40-54 years (46.3%), married (86.7%), illiterate (87.4%), and obese (39%). 6.6% were tobacco smokers, higher in men (13.6%) than in women (2.6%). The prevalence of diabetes mellitus, hypertension, obesity and central obesity was 15.2%, 25.5%, 39%, and 67.1%, respectively. In this study population, it could be suggested that socioeconomic factors are associated with T2DM and socioeconomic status is worth further investigation nationwide to properly understand the role of SES.

Large-Scale Cross-Sectional Study of the Problem Areas in Diabetes Survey among Japanese Patients with Type 2 Diabetes Mellitus

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2393-PUB
Author(s):  
KENICHIRO TAKAHASHI ◽  
MINORI SHINODA ◽  
RIKA SAKAMOTO ◽  
JUN SUZUKI ◽  
TADASHI YAMAKAWA ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Large Scale ◽  
Japanese Patients ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diabetes Survey

ASSESSMENT OF DEMENTIA IN THE TYPE 2 DIABETES BY MOCA

2017 ◽  
pp. 35-44
Author(s):  
Dinh Toan Nguyen
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Sensitivity ◽  
Cross Sectional ◽  
Average Value ◽  
Lifestyle Risk ◽  
Diabetes Mellitus Risk

Background: Studies show that diabetes mellitus is the greatest lifestyle risk factor for dementia. Appropriate management and treatment of type 2 diabetes mellitus could prevent the onset and progression of mild cognitive impairment to dementia. MoCA test is high sensitivity with mild dementia but it have not been used and studied widespread in Vietnam. Aim: 1. Using MoCA and MMSE to diagnose dementia in patients with type 2 diabetes mellitus. 2. Assessment of the relationship between dementia and the risk factors. Methods: cross-sectional description in 102 patients with type 2 diabetes mellitus. The Mini-Mental State Examination(MMSE) and the Montreal Cognitive Assessment (MoCA) were used to assess cognitive function. The diagnosis of dementia was made according to Diagnostic and Statistical Manual of Mental Disorders. Results: The average value for MoCA in the group of patients with dementia (15.35 ± 2.69) compared with non-dementia group (20.72 ± 4.53). The sensitivity and specificity of MoCA were 84.8% and 78.3% in identifying individuals with dementia, and MMSE were 78.5% and 82.6%, respectively. Using DSMIV criteria as gold standard we found MoCA and MMSE were more similar for dementia cases (AUC 0.871 and 0.890). The concordance between MoCA and MMSE was moderate (kappa = 0.485). When considering the risk factors, the education,the age, HbA1c, dyslipidemia, Cholesterol total related with dementia in the type 2 diabetes. Conclusion: MoCA scale is a good screening test of dementia in patients with type 2 diabetes mellitus.When compared with the MMSE scale, MoCA scale is more sensitive in detecting dementia. Key words: MoCA, dementia, type 2 diabetes mellitus, risk factors

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