Socio-economic inequality in prevalence of type 2 diabetes among adults in north-west of Iran: a Blinder-Oaxaca decomposition

Comparative Analysis of Differences in Functional Ability Among Older People Between Urban and Rural Areas: A Cross-sectional Study From China

PURPOSE

The health of older people, especially functional ability, has become a hot topic for scholars in various countries. There is insufficient research on the urban-rural disparity in the functional ability of older people. This study aimed to explore the urban-rural gap in the functional ability of older people and the related influencing factors.

METHODS

The data analyzed in this study were collected through a cross-sectional survey conducted in China. Furthermore, binary logistic regression was utilized to assess the relationship between functional ability and the independent variables, and Oaxaca-Blinder decomposition was used to explore urban-rural differences in functional ability among older people.

RESULTS

The percentage of urban older people who were functionally robust was 65.9%, which was significantly higher than the rural 40.4%. Furthermore, our study identified factors affecting the functional ability of older people in urban areas, including age, body mass index, education, social participation, and trust. In contrast, for older people in rural areas, in addition to these factors, gender, drinking, and social connection were also found to be factors affecting their functional ability. Moreover, the results of the Oaxaca-Blinder decomposition showed that the most critical factor influencing the urban-rural differences in functional ability among older people was social participation (26.5%). Besides, education (14.4%), living status (-10.8%), age (7.3%), and trust (-6.9%) likewise influence the urban-rural disparity.

CONCLUSION

A higher proportion of older people in rural areas have limited functional ability than those in urban areas. Moreover, the disparity in social participation levels significantly contributed to the differences in functional ability observed between older adults in urban and rural settings. This study underscores the significance of enhancing the social engagement of older adults, particularly those living in rural communities.

Socioeconomic inequalities in type 2 diabetes mellitus: a study based on a population-based survey in Iran

BACKGROUND

Type 2 diabetes mellitus (T2DM) is the most prevalent form of Diabetes Mellitus (DM), with social and economic determinants significantly influencing its prevalence. This study aimed to analyze the socioeconomic inequalities associated with T2DM in Iran.

METHODS

Data from an observational survey in Iran, titled "Diabetes Care (DiaCare)," were utilized for this study. Socioeconomic inequalities were assessed through variables including Hemoglobin A1C (HbA1c), Fasting Blood Glucose (FBG), and Triple target (HbA1c, blood pressure, LDL-C), using concentration indices (CIs) and a multivariate logistic regression analysis. Individual socioeconomic status (SES) was determined by calculating an asset index using principle component analysis (PCA) based on their properties. Data analysis was conducted using STATA software version 14.

RESULTS

A total of 13,321 participants were included in the study. The CIs were significantly positive for controlled HbA1c (0.0324) and triple target (0.1067), while for controlled FBG, it was 0.0125, although not significant. Among females, the CIs were significantly positive for controlled HbA1c (0.0745), FBG (0.0367), and triple target (0.209). Additionally, in the 45-55 and 65-75 age groups, the CIs were significantly positive for controlled HbA1c (0.0607) and FBG (0.0708), respectively. This index was significant for controlled Triple target in the 35-45 (0.376) and 65-75 (0.124) age groups. The CI for controlled FBG was significant in rural dwellers (-0.044) while the concentration of controlled triple target was significant in urban dwellers (0.0967). Controlled HbA1c showed significant concentration in both urban (0.0306) and rural (-0.0576) dwellers. Furthermore, the CIs were significant for controlled HbA1c in regions with medium prevalence (0.0534) and FBG in regions with low prevalence (-0.0277). This index was significantly positive for controlled triple target in regions with high prevalence (0.124).

CONCLUSIONS

Diabetes care is more concentrated among individuals with higher SES. Policymakers should consider this to mitigate the inequality and alleviate the burden of T2DM.

Contrasting socioeconomic inequality with noncommunicable diseases: Insights from a population-based survey using the concentration index in Kong cohort study

Background

Noncommunicable diseases (NCDs) are the major causes of mortality across the globe, which impose a substantial burden on health care systems, particularly in low- and middle-income countries. The present study aimed to determine socioeconomic inequality in the prevalence of NCDs using the concentration index (CI).

Methods

This cross-sectional study was conducted on the baseline data of the Bandar Kong cohort. The principal component analysis was used to determine people's socioeconomic status (SES). The CI and Lorenz Curve were used for the assessment of socioeconomic inequality. Multivariate logistic regression was used to assess the relationship between SES and the prevalence of NCDs. A p Value less than 0.05 is considered significant.

Results

Frequency and prevalence of diabetes was 653 (16.22%), hypertension 848 (21.06%), chronic lung diseases 161 (4%), epilepsy 70 (1.74%), mental disorders 191 (4.74%), stillbirth 299 (13.94%), thyroid disorders 391 (9.71%) and depression 146 (3.63%). CI for the prevalence of diabetes was [-0.107, %95 CI: -0.146 to -0.068], hypertension [-0.122, %95 CI: -0.155 to -0.088], chronic lung disease [-0.116, %95 CI: -0.202 to -0.03], psychiatric disorders [-0.230, %95 CI: -0.304 to -0.155], depression [-0.132, %95 CI: -0.220 to-0.043] and stillbirth [-0.162, %95 CI: -0.220 to -0.105]. The Gini index was negative for all these diseases, indicating that these are significantly concentrated in people of poor SES.

Conclusions

The findings suggest that selected NCDs were concentrated among the poor and the low-income. Particular attention may be necessary to address the problem of NCDs among these groups.

Socio-economic factors, mood, primary care utilization, and quality of life as predictors of intervention cessation and chronic stress in a type 2 diabetes prevention intervention (PREVIEW Study)

BACKGROUND

Sedentary lifestyle and unhealthy diet combined with overweight are risk factors for type 2 diabetes (T2D). Lifestyle interventions with weight-loss are effective in T2D-prevention, but unsuccessful completion and chronic stress may hinder efficacy. Determinants of chronic stress and premature cessation at the start of the 3-year PREVIEW study were examined.

METHODS

Baseline Quality of Life (QoL), social support, primary care utilization, and mood were examined as predictors of intervention cessation and chronic stress for participants aged 25 to 70 with prediabetes (n = 2,220). Moderating effects of sex and socio-economic status (SES) and independence of predictor variables of BMI were tested.

RESULTS

Participants with children, women, and higher SES quitted intervention earlier than those without children, lower SES, and men. Lower QoL, lack of family support, and primary care utilization were associated with cessation. Lower QoL and higher mood disturbances were associated with chronic stress. Predictor variables were independent (p ≤ .001) from BMI, but moderated by sex and SES.

CONCLUSIONS

Policy-based strategy in public health should consider how preventive interventions may better accommodate different individual states and life situations, which could influence intervention completion. Intervention designs should enable in-built flexibility in delivery enabling response to individual needs.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01777893.

Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis

OBJECTIVE

to identify the space-time pattern of mortality due to Diabetes Mellitus in Brazil, as well as its relationship with social development indicators.

METHOD

an ecological and time series nationwide study based on secondary data from the Unified Health System Informatics Department, with space-time analysis and inclusion of indicators in non-spatial and spatial regression models. The following was performed: overall mortality rate calculation; characterization of the sociodemographic and regional profiles of the death cases by means of descriptive and time analysis; and elaboration of thematic maps.

RESULTS

a total of 601,521 deaths related to Diabetes Mellitus were recorded in Brazil, representing a mean mortality rate of 29.5/100,000 inhabitants. The states of Rio Grande do Norte, Paraíba, Pernambuco, Alagoas and Sergipe, Rio de Janeiro, Paraná and Rio Grande do Sul presented high-high clusters. By using regression models, it was verified that the Gini index (β=11.7) and the Family Health Strategy coverage (β=3.9) were the indicators that most influenced mortality due to Diabetes Mellitus in Brazil.

CONCLUSION

in Brazil, mortality due to Diabetes presents an overall increasing trend, revealing itself as strongly associated with places that have worse social indicators.

HIGHLIGHTS

(1) The time-space pattern of mortality due to Diabetes presents an increasing trend. (2) The Northeast and South regions present high rates of mortality due to Diabetes. (3) Mortality due to Diabetes is associated with worse sociodemographic indicators. (4) A relationship is observed between income, access to health and mortality due to Diabetes.

Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis

OBJECTIVE

to identify the space-time pattern of mortality due to Diabetes Mellitus in Brazil, as well as its relationship with social development indicators.

METHOD

an ecological and time series nationwide study based on secondary data from the Unified Health System Informatics Department, with space-time analysis and inclusion of indicators in non-spatial and spatial regression models. The following was performed: overall mortality rate calculation; characterization of the sociodemographic and regional profiles of the death cases by means of descriptive and time analysis; and elaboration of thematic maps.

RESULTS

a total of 601,521 deaths related to Diabetes Mellitus were recorded in Brazil, representing a mean mortality rate of 29.5/100,000 inhabitants. The states of Rio Grande do Norte, Paraíba, Pernambuco, Alagoas and Sergipe, Rio de Janeiro, Paraná and Rio Grande do Sul presented high-high clusters. By using regression models, it was verified that the Gini index (β=11.7) and the Family Health Strategy coverage (β=3.9) were the indicators that most influenced mortality due to Diabetes Mellitus in Brazil.

CONCLUSION

in Brazil, mortality due to Diabetes presents an overall increasing trend, revealing itself as strongly associated with places that have worse social indicators.

HIGHLIGHTS

(1) The time-space pattern of mortality due to Diabetes presents an increasing trend. (2) The Northeast and South regions present high rates of mortality due to Diabetes. (3) Mortality due to Diabetes is associated with worse sociodemographic indicators. (4) A relationship is observed between income, access to health and mortality due to Diabetes.