Socioeconomic status and prevalence of type 2 diabetes in mainland China, Hong Kong and Taiwan: a systematic review

Social determinants of health and type 2 diabetes in Asia

Type 2 diabetes mellitus (T2DM) is a major global public health challenge driven by a complex interplay of genetic, environmental, and social factors. This review highlights the effects of social determinants of health (SDOH) on T2DM in Asia, where rapid urbanization, worsening air pollution, and distinct socioeconomic structures uniquely influence disease outcomes. Key SDOH domains, socioeconomic status (education, income, and occupation), physical environment, food environment, healthcare access, and social context, were analyzed for their associations with T2DM prevalence, progression, and management. Among these, environmental and lifestyle shifts have emerged as particularly influential factors in Asia. Air pollution, particularly fine particulate matter, has been increasingly linked to insulin resistance and diabetes risk in Asian populations. Additionally, rapid urbanization and changing food environments contribute to rising T2DM incidence through shifts in lifestyle and dietary patterns. Across the diverse healthcare systems of Asian countries, primary care remains a universally critical component in addressing T2DM issues. Additionally, social capital and cohesion serve as protective factors, whereas social isolation heightens vulnerabilities. These insights underscore the importance of addressing SDOH in public health strategies to combat T2DM in Asia. Future research should prioritize longitudinal studies and culturally tailored interventions to reduce the region's diabetes burden.

Lactation duration and the risk of type 2 diabetes mellitus in parous women: A perspective on socioeconomic status disparity

BACKGROUND & AIMS

Whether and how socioeconomic status (SES) influences the associations between type 2 diabetes mellitus (T2DM) and lactation remains unknown. We aimed to evaluate the associations between lactation duration and T2DM from a perspective of SES disparity.

METHODS

A total of 263,859 parous women without diabetes at baseline (2004-2008) in the China Kadoorie Biobank were included. Lactation duration was counted for the first-child, per-child and lifetime. The latent class analysis of education level, household income, occupation, and residence was conducted to derive SES as low, intermediate, and high. T2DM cases were identified through linkage with records in hospitals, disease registry system and health insurance data during follow-up (2008-2015). Multivariable Cox proportional hazards regression models were applied to estimate hazard ratios (HRs) and 95 % confidence intervals for T2DM. Population attributable fraction evaluated the cases tied to insufficient lactation by SES.

RESULTS

In a median 9.2-year follow-up, 8,204 cases were identified. Women who breastfed their first child for 12-24 and > 24 months respectively, had a reduced risk of diabetes (fully adjusted HR: 0.84 [0.75-0.94] and 0.81 [0.70-0.95]). Similar results were found for per-child (0.84 [0.72-0.98] and 0.71 [0.59, 0.85]), and lifetime lactation for > 36 months (0.66 [0.56, 0.77]). For dose-response associations, every 5-month increase in lactation duration (first-child, per-child, lifetime) was linked to a 7 %, 10 %, and 4 % lower T2DM risk. These associations were significant among low SES women but not for intermediate or high SES women. For low SES women, 36.42 % of diabetes cases were attributable to per-child lactation duration of < 24 months, and 5.76 %, 25.37 %, 47.29 %, 19.04 % of cases would be prevented if women lactating for 0, 0-6, 6-12, and 12-24 months extended their per-child lactation duration to at least 2 years.

CONCLUSION

Longer lactation duration is associated with a decreased risk of T2DM among women, especially those with low SES. The promotion of extended breastfeeding could potentially prevent a significant proportion of diabetes events.

Diabetes in China part 1: epidemiology and risk factors

The prevalence of diabetes in China is rapidly increasing. China now has the largest number of people living with diabetes worldwide, accounting for approximately one-quarter of the global diabetes population. Since the late 1970s, China has experienced profound changes and rapid economic growth, leading to shifts in lifestyle. Changing dietary patterns, reduced physical activity, and stress have contributed to the growing prevalence of overweight and obesity, which are important determinants potentiating the link between insulin resistance and diabetes. Social and environmental factors, such as education, air pollution, and exposure to endocrine-disrupting chemicals, have also contributed to the growing diabetes epidemic in China. The country has one of the fastest ageing populations in the world, which forecasts continued increases in the prevalence of diabetes and its complications. This Review provides an overview of the ongoing diabetes epidemic and risk factors, providing evidence to support effective implementation of public health interventions to slow and prevent the diabetes epidemic in China.

Clinical and Microbiological Profile of Diabetic Foot Ulcers Infected With Staphylococcus aureus in a Regional General Hospital in Bahia, Brazil

It is necessary to know the resistance profile of Staphylococcus aureus to better control diabetic foot ulcer infections, to establish rational antibiotic therapy, and to avoid the development of resistant strains. This cross-sectional study evaluated the clinical parameters, virulence, and antimicrobial resistance profiles of S aureus in patients with diabetic foot disease admitted to a public hospital. S aureus strains were identified in patients with diabetes with amputation indication. Infected tissue samples were collected, microbes were isolated and identified. The microbial resistance profile was determined. Samples were also analyzed for biofilm formation and other virulence markers. The 34 individuals examined were mostly men, black, aged 60 years on average, and generally had a low income and education level. Most individuals had type 2 diabetes, and the mean time since diagnosis was 13.9 years. On an SF-36 (the Medical Outcomes Study 36-item short-form health survey) quality-of-life questionnaire, 75% of individuals obtained a score equal to 0 for physical impairment. S aureus specimens from 17 patients were isolated, corresponding to 50% of samples. Five isolates were classified as methicillin-resistant S aureus (MRSA). Molecular typing revealed that 20% of MRSA strains were SCCmec type V and 80% were type I. All isolates were sensitive to doxycycline; 61.5% were resistant to erythromycin, 38.5% to cefoxitin, 30.7% to clindamycin and ciprofloxacin, 23% to meropenem, 15.3% to gentamicin, 38.5% to oxacillin, and 7.7% (one strain) to vancomycin. Regarding biofilm production, 53% of samples were able to produce biofilms, and 84.6% had icaA and/or icaD genes. Additionally, the following enterotoxin genes were identified in the isolates: seb, sec, seg, and sei (5.9%, 5.9%, 11.8%, and 23.9%, respectively) and agr types 1 (5.9%) and 2 (11.8%). Genotypic evaluation made it possible to understand the pathogenicity of S aureus strains isolated from the diabetic foot; laboratory tests can assist in the monitoring of patients with systemic involvement.

Correspondence to "association of sleep patterns and cardiovascular disease risk is modified by glucose tolerance status"

After reading the article written by Wang et al., we have encountered several concerns that may compromise the credibility of the article. There are some factors, such as changes in sleep patterns, glucose tolerance status, and the use of hypnotics, which may interfere with the research results. Additionally, the design of the sleep pattern could lead to biased outcomes. Therefore, we are writing this letter to recommend that further research should take these concerns into consideration.

Ethnic disparities in the prevalence of diabetes and its association with sleep disorder among older adults in rural southwest China

OBJECTIVES

This study aimed to examine ethnic disparities in the prevalence of diabetes and its association with sleep disorders among the older adults Han and ethnic minority (Bai, Ha Ni, and Dai) population in rural southwest China.

METHODS

A cross-sectional survey of 5,642 was conducted among the rural southwest population aged ≥60 years, consisting of a structured interview and measurement of fasting blood glucose, height, weight, and waist circumference. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality.

RESULTS

The overall prevalence of diabetes and sleep disorder was 10.2% and 40.1%, respectively. Bai participants had the highest prevalence of diabetes (15.9%) and obesity (9.9%)(P < 0.01), while Ha Ni participants had the lowest prevalence of diabetes (5.1%) and obesity (3.4%)(P < 0.01). The highest prevalence of sleep disorder (48.4%) was recorded in Bai participants, while Dai participants had the lowest prevalence of sleep disorder (25.6%)(P < 0.01). In all four studied ethnicities, females had a higher prevalence of sleep disorder than males (P < 0.01), and the prevalence of sleep disorder increased with age (P < 0.01). The results of multivariate logistic regression analysis indicated older adults with sleep disorder had a risk of developing diabetes (P < 0.05). Moreover, the higher educational level, family history of diabetes, and obesity were the main risk factors for diabetes in participants (P < 0.01).

CONCLUSION

There are stark ethnic disparities in the prevalence of diabetes and sleep disorders in southwest China. Future diabetes prevention and control strategies should be tailored to address ethnicity, and improving sleep quality may reduce the prevalence of diabetes.

Prevalence of Diabetes and the Relationship Between Wealth and Social Demographic Characteristics Across 6 Low-and-Middle Income Countries

Background

As the global burden of diabetes persists, research is needed to understand the role of wealth and correlates of diabetes across regions of the world. The purpose of this study is to examine the prevalence and role of wealth and diabetes across 6 low- and middle- income countries while also accounting for independent correlates of diabetes by country.

Methods

Data from the Study on Global Ageing and Adult Health (SAGE), SAGE Wave 1 was used. Self-reported diabetes status was the primary dependent variable and wealth quintile, number of dwelling characteristics and possession of a set of assets, was the independent variable. Logistic regression models examined the relationship between wealth and presence of diabetes across 6 countries with the highest wealth quintile, quintile 1, serving as the reference group.

Results

Sample size by country included Ghana N = 5573, South Africa N = 4227, Russia N = 4947, Mexico N = 5448, India N = 12198, and China N = 15050. Average age across country ranged from 49 to 63 years of age. Prevalence of diabetes across country included 3.4% and 9.2% for Ghana and South Africa, respectively. In Russia, 8.3%; Mexico, 18.1%; India, 4.9%; and China, 5.9% of the sample reported having diabetes. In the adjusted logistic model, wealth was associated with higher odds of diabetes in Ghana (OR 2.26; CI 1.28; 4.13), South Africa (OR 4.57; CI 2.25; 10.32), Mexico (OR 2.00; CI 1.14; 3.60), India (OR 2.45; CI 1.60; 3.86), and China (OR 2.16; CI 1.62, 2.93).

Conclusions

These findings add to the growing body of evidence in our understanding between wealth and diabetes. As diabetes persists as a leading cause of death globally, future work should focus on mechanisms underlying the relationship between wealth and diabetes while also developing interventions to mitigate his burgeoning disease affecting communities across low- and middle-income countries.

Overadjustment bias in systematic reviews and meta-analyses of socio-economic inequalities in health: a meta-research scoping review

BACKGROUND

Overadjustment bias occurs when researchers adjust for an explanatory variable on the causal pathway from exposure to outcome, which leads to biased estimates of the causal effect of the exposure. This meta-research review aimed to examine how previous systematic reviews and meta-analyses of socio-economic inequalities in health have managed overadjustment bias.

METHODS

We searched Medline and Embase until 16 April 2021 for systematic reviews and meta-analyses of observational studies on associations between individual-level socio-economic position and health outcomes in any population. A set of criteria were developed to examine methodological approaches to overadjustment bias adopted by included reviews (rated Yes/No/Somewhat/Unclear).

RESULTS

Eighty-four reviews were eligible (47 systematic reviews, 37 meta-analyses). Regarding approaches to overadjustment, whereas 73% of the 84 reviews were rated as Yes for clearly defining exposures and outcomes, all other approaches were rated as Yes for <55% of reviews; for instance, 5% clearly defined confounders and mediators, 2% constructed causal diagrams and 35% reported adjusted variables for included studies. Whereas only 2% included overadjustment in risk of bias assessment, 54% included confounding. Of the 37 meta-analyses, 16% conducted sensitivity analyses related to overadjustment.

CONCLUSIONS

Our findings suggest that overadjustment bias has received insufficient consideration in systematic reviews and meta-analyses of socio-economic inequalities in health. This is a critical issue given that overadjustment bias is likely to result in biased estimates of health inequalities and accurate estimates are needed to inform public health interventions. There is a need to highlight overadjustment bias in review guidelines.

Uncovering the Burden of Diabetes in Ekiti State, Nigeria: Insights From a Statewide, Household-Based, Cross-Sectional Study

INTRODUCTION

Diabetes mellitus (DM) is an important global public health challenge, and the burden of the disease is huge, particularly in low- and middle-income countries (LMICs), where the majority of people with this condition reside. Undiagnosed DM is more prevalent in LMICs. The aim of this study is to determine the prevalence and associated factors for DM in Ekiti State.

MATERIALS AND METHODS

A cross-sectional, household-based survey using a four-stage multistage sampling design and the World Health Organization (WHO)-STEPS survey manual was conducted from July to September 2020 as a part of the Ekiti State coronavirus disease 2019 (COVID-19) survey. Of the 5,145 sampled households, 4,726 individuals gave consent to participate in the survey. Out of these, 3043 had fasting plasma glucose results available and were included in the analysis.

RESULTS

There were 2257 (74.2%) women and 786 (25.8%) men. The prevalence of DM was 6.5% (6.5% in males and 6.6% in females, P = 0.946). Diabetes was found to be more prevalent among those with a secondary school education or higher (10.9%); employed in the formal sector (13.4%); separated, divorced, or widowed (8.5%); with raised blood pressure (9.3%); and who were aged 30-59 years (all P < 0.05). Multivariable logistic regression showed that age, education, occupation, and hypertension were all positively and significantly associated with an increased risk of DM.

CONCLUSION

The prevalence of DM in Ekiti State is high, and its predictors include advancing age, hypertension, education, and occupation. This calls for scaling up public health interventions for controlling DM, targeting the identified risk factors among the people of Ekiti.

Relative Validity of a Short Food Frequency Questionnaire for Disadvantaged Families in Hong Kong

Individuals with lower socioeconomic status are more vulnerable in securing good nutritional quality. It was also found that people who had received a lower education level had greater difficulty in completing the conventional dietary assessment such as a food frequency questionnaire (FFQ). Previous studies have demonstrated the validity of a short FFQ in Hong Kong's pregnant women, but its validity among a wider community was still unknown. For the present study, we aimed to validate a short FFQ among disadvantaged communities in Hong Kong. Amongst 103 individuals participating in a dietary intervention programme, their dietary data were collected by FFQs and three-day dietary records. Relative validity was assessed by correlation analysis, cross-tabulation, one-sample t-test, and linear regression. In general, water and total energy intake had significant correlations (0.77 for crude water intake and 0.87 for crude total energy intake) between values reported by FFQ and dietary records, good agreement (both with over 50% of observations falling into the same quartile), and insignificant differences between assessment methods reported by one-sample t-test and linear regression. Meanwhile, several nutrients had good agreement in terms of the values reported by FFQ and dietary records, such as energy from total fat, carbohydrates, total fat, cholesterol, phosphorus, and potassium. The results of this study demonstrated that the short version FFQ could be a convenient assessment tool of multiple dietary behaviors, especially in total energy and water intakes.

Efficacy and Safety of Ertugliflozin Added to Metformin: A Pooled Population from Asia with Type 2 Diabetes and Overweight or Obesity

INTRODUCTION

The efficacy and safety of ertugliflozin have not been well characterized in Asian populations with type 2 diabetes (T2D) and overweight or obesity as defined by the Chinese Diabetes Society [body mass index (BMI) ≥ 24 kg/m²].

METHODS

These post hoc analyses of pooled data from two randomized, double-blind, 26-week studies assessed the efficacy and safety of ertugliflozin (5 mg or 15 mg) compared with placebo in participants from Asia with T2D and baseline BMI ≥ 24 kg/m², with inadequate glycemic control on metformin. Longitudinal analyses were used to calculate least squares (LS) mean [95% confidence interval (CI)] change from baseline in glycemic indices and body weight. The proportions of participants achieving efficacy targets and experiencing adverse events (AEs) were assessed.

RESULTS

The 445 participants had a mean age of 55.5 years, T2D duration 6.6 years, glycated hemoglobin (HbA1c) 8.1%, and BMI 27.6 kg/m². At week 26, placebo-adjusted LS mean (95% CI) changes from baseline for ertugliflozin 5 mg and 15 mg, respectively, were - 0.78% (- 0.95% to - 0.61%) and - 0.80% (- 0.98% to - 0.63%) for HbA1c, and - 1.74 kg (- 2.29 kg to - 1.19 kg) and - 2.04 kg (- 2.60 kg to - 1.48 kg) for body weight. A greater proportion of participants receiving ertugliflozin 5 mg and 15 mg versus placebo, respectively, achieved HbA1c < 7.0% (42.1% and 46.3% vs. 13.9%), body weight reduction ≥ 5% (35.5% and 38.3% vs. 11.1%), and systolic blood pressure < 130 mmHg (42.4% and 34.5% vs. 21.7%). The proportion of participants with AEs was 52.6% (ertugliflozin 5 mg), 52.3% (ertugliflozin 15 mg), and 55.6% (placebo).

CONCLUSIONS

In participants from Asia with T2D inadequately controlled by metformin monotherapy, and BMI ≥24 kg/m², ertugliflozin (5 mg or 15 mg) resulted in greater glycemic and body weight reductions compared with placebo and was generally well tolerated.

TRIAL REGISTRATION

Clinicaltrials.gov identifiers NCT02033889, NCT02630706.

Hospitalisation for mental health disorders in Australians with type 1 or type 2 diabetes

AIMS

To determine the burden and leading reasons for mental health hospitalisation among Australians with diabetes.

METHODS

We determined the incidence of hospitalisation for all mental health disorders in people with type 1 or type 2 diabetes of all ages by linking the National Diabetes Services Scheme to hospital admission datasets from 2010 to 2017. We compared those with type 2 diabetes aged 15 and above to the general population using excess hospitalisations per 100,000 person-years associated with diabetes.

RESULTS

Depressive disorders were the leading reason for mental health admission in Australians with diabetes, responsible for 6.09 (95% CI 5.78-6.42) and 7.05 (6.95-7.14) admissions per 1,000 person-years in those with type 1 and type 2 diabetes, respectively. When considering only one admission per person, mental health admission rates were up to 90% lower. Among males with type 2 diabetes, stress and adjustment disorders were the leading cause of excess admissions compared to the general population, while depressive disorders were the leading cause in females.

CONCLUSIONS

We found a substantial burden of psychiatric hospitalisations among Australians with diabetes, reinforcing the importance of mental health awareness among diabetes clinicians, and support by psychiatric teams for those with diabetes to prevent readmission.

The Interaction Between Age and Risk Factors for Diabetes and Prediabetes: A Community-Based Cross-Sectional Study

OBJECTIVE

This study aimed to investigate the interaction between age groups and risk factors for diabetes and prediabetes in Shanghai communities and to identify the effect of age on other risk factors for diabetes and prediabetes.

METHODS

This study recruited 3540 participants with undiagnosed diabetes or prediabetes in 14 communities in Shanghai from February to August 2019. All participants underwent a comprehensive examination, including filling out a detailed questionnaire, physical examination, 75 g oral glucose tolerance test, and blood sample collection. In addition, logistic regression was used to analyze the interaction between age and risk factors for prediabetes and diabetes.

RESULTS

The statistical analysis included 2776 people. In this study, the prevalence of diabetes and prediabetes were 15.1% and 52.3%, respectively. The prevalence of diabetes and prediabetes is higher in the elderly than in the middle-aged group. Among the risk factors for diabetes, overweight was associated with higher age (P-interaction 0.028). In addition, among the risk factors for prediabetes, a high level of education was associated with higher age (P-interaction 0.039) and elevated serum cholesterol level was associated with lower age (P-interaction 0.019).

CONCLUSION

This study confirmed an interaction between age and other influencing factors, which may be important in explaining differences in risk factors for diabetes and prediabetes in the middle-aged and elderly populations. Community health facilities can provide health guidance to people of different age groups to prevent and control prediabetes and diabetes.

Reciprocal/Authoritarian Filial Piety and Mental Well-Being in the Chinese LGB Population: The Roles of LGB-Specific and General Interpersonal Factors

Although filial piety is considered as a salient value in the Chinese culture, studies on the mental well-being of Chinese lesbian, gay, and bisexual (LGB) individuals rarely take filial piety into account or examine it in relation to other variables to clarify the mechanism between filial piety and mental well-being. A total of 1453 LGB participants from 30 provinces and regions in Mainland China completed the online survey. They provided demographic information and completed measures of filial piety, a general interpersonal factor (i.e., perceived burdensomeness and thwarted belongingness), an LGB-specific interpersonal factor (i.e., perceived parental support for sexual orientation), and mental well-being. Structural equation modelling results indicated that higher reciprocal filial piety was directly, and indirectly through lower thwarted belongingness, associated with better mental well-being. Lower authoritarian filial piety was indirectly associated with better mental well-being through higher perceived parental support for sexual orientation and lower thwarted belongingness. In addition, reciprocal filial piety had a stronger effect on perceived parental support for sexual orientation and perceived burdensomeness among lesbians and bisexual women than gay and bisexual men. These findings suggest that reciprocal filial piety is a protective factor, whereas authoritarian filial piety is a risk factor, for the mental well-being of Chinese LGB persons. Moreover, perceived parental support for sexual orientation and thwarted belongingness might be the mechanisms underlying the effect of reciprocal/authoritarian filial piety on mental well-being. Implications of findings for practice and research are discussed.

Effect of income level on stroke incidence and the mediated effect of simultaneous diagnosis of metabolic syndrome diseases; a nationwide cohort study in South Korea

BACKGROUND

This study aimed to determine whether a simultaneous diagnosis of main components of metabolic syndrome (MetS) (hypertension, diabetes mellitus, and dyslipidemia) plays a mediator between income level and stroke.

METHODS

We used the National Health Insurance Service National Sample Cohort database from 2006 to 2015. The mediator variables were the number of main MetS components diagnosed simultaneously (two or more/three or more). We used a weighting approach method of causal mediation analysis to apply counterfactual frameworks to the Cox proportional hazards regression model.

RESULTS

A total of 213,526 people were included with 1,690,665.3 person-years of followed up. Compared with the high-income group, the risk of being diagnosed with two or more components of MetS significantly increased in all other income groups [middle-income OR 1.05 (95% CI 1.02-1.08); low-income OR 1.09 (95% CI 1.05-1.12); Medical Aid beneficiaries OR 1.39 (95% CI 1.32-1.47)]. A lower level of income was significantly associated with a higher risk of stroke compared with the high-income group [middle-income HR 1.15 (95% CI 1.07-1.25); low-income HR 1.19 (95% CI 1.10-1.29); Medical Aid beneficiaries HR 1.63 (95% CI 1.48-1.80)]. In the Medical Aid beneficiaries, simultaneous diagnosis of the main metabolic components acted as a significant mediator between income levels and stroke incidence, with 26.6% mediated when diagnosed with two or more diseases and 21.1% when diagnosed with all three.

CONCLUSIONS

Co-diagnosis of MetS components played a significant mediator role between income level and stroke incidence.

Socioeconomic disparities between oral cavity cancer patients in Germany

Objective

In many countries the access to high quality medical service depends on socioeconomic factors. Therefore, these factors are associated with the treatment and prognosis of many diseases. In Germany health care is claimed to be independent from such factors due to obligatory health insurance and a well-developed medical infrastructure. Thus, socioeconomically caused health disparities should be absent. The aim of this study was to analyze the association between socioeconomic factors and the survival of oral cavity cancer in Germany.

Patients and methods

In this descriptive cohort study socioeconomic status related factors as well as demographic, tumor-specific, and comorbidity factors of 500 patients treated for oral cavity cancer were obtained in the university hospital of Dresden. Pearson correlation was used to describe associations between continuous variables. Associations between categorical variables were assessed using the chi-square test. Overall and recurrence-free survival were studied using the Kaplan-Meier method. Log-rank test was carried out to test between-group differences. Cox proportional hazard models were used to estimate the risk of death and the risk of recurrence.

Results

Significant differences in overall survival were found between the different educational levels and sex. Seventy-nine percent of the patients did not have a university degree or master craftsman/craftswoman. Less discrepancy was observed according to the marital status (49.4% married/engaged vs. 47.8% single, divorced, or widowed). In the multivariable analysis only sex, age at diagnosis, the Charlson score, the number of positive lymph nodes, and the nodal status were identified as independent predictors for overall survival whereas sex and the age at diagnosis were identified as independent predictors for recurrence-free survival.

Conclusion

Despite the equitable health system in Germany, significant associations between overall survival of oral cavity cancer and different socioeconomic factors could be found. For elimination of these disparities, health education programs should be established in socially deprived areas. Furthermore, clinicians should keep these factors in mind when determining recall periods for dental check-ups.

The prevalence and predictors of pre-diabetes and diabetes among adults 40-70 years in Kharameh cohort study: A population-based study in Fars province, south of Iran

Purpose

In this study, the prevalence of diabetes and pre-diabetes (pre-DM) has been estimated; also, some factors related to diabetes and pre-diabetes in the city of Kharameh, southern Iran, were investigated.

Methods

This cross-sectional study was conducted on a total of 10,474 subjects aged 40-70 years who participated in phase one of PERSIAN Kharameh cohort carried out between 2015 and 2016. Eligible individuals were included in the study by census method.

Results

Prevalence of diabetes is 20.17% (95% CI: 19.95-20.39) and that of pre-diabetes is 15.74% (95% CI 15.54-15.93). Multivariate logistic regression results showed that the prevalence of diabetes had a direct relationship with increasing age (p < 0.001), being single (p = 0.005), family history of diabetes (p < 0.001), abdominal obesity (p < 0.001), hypertension (p: < 0.001), and high triglycerides (p: < 0.001); also, it had an inverse relationship with residence in rural areas (p < 0.001), education (p < 0.001), and employment (p < 0.001).Also, the prevalence of pre-diabetes showed a direct relationship with increasing age (60-70 years p = 0.010), being single (p = 0.004), living in rural areas (P < 0.001), having a family history of diabetes ( both P = 0.023), abdominal obesity (P < 0.001), hypertension (P < 0.001), high cholesterol (P < 0.001) and high triglycerides (P < 0.001), and an inverse relationship with female gender (P < 0.001), education (high school P = 0.022), employment (P = 0.010), and smoking habit (P = 0.019). These results were all statistically significant.

Conclusion

The present study shows the high prevalence of diabetes and pre- diabetes in the city of Kharameh. Diabetes prevention policies should be developed and implemented for the public.

Health and health behaviors in China: Anomalies in the SES-health gradient?

Objectives

Fundamental Cause Theory (FCT) predicts that higher socioeconomic status (SES) leads to better health outcomes, through mechanisms including health-promoting behaviors. Most studies supporting FCT use data from Western countries. However, limited empirical studies from China, as well as theoretical considerations suggested by China's unique history and culture, raise questions about the generalizability of FCT to the Chinese context. This study explores whether the associations between SES, health behaviors, and health status in Western countries are also observed in China, and to what extent behavioral risk factors explain socioeconomic disparities in Chinese health.

Data and method

Using data on adults age 45+ from the nationally-representative 2015 China Health and Retirement Longitudinal Study (CHARLS; n = 14,420), we conduct regressions of multiple health outcomes (self-rated health, disease count, and several common chronic conditions) on demographic characteristics, SES (measured via education and wealth), and behavioral risk factors (smoking, high-frequency drinking, and overweight). To assess whether behavioral risk factors mediate the SES-health association, we use the Karlson, Holm and Breen (KHB) mediation analysis method.

Results

Supporting FCT, both education and wealth predict higher self-rated health and lower risk of arthritis. However, inconsistent with FCT, neither education nor wealth predict disease count, diabetes, or hypertension; education shows some positive association with cardiovascular disease; and higher SES is strongly associated with higher risk of dyslipidemia. Prevalence of smoking and high-frequency drinking are flat by wealth and inversely U-shaped by education, while overweight is somewhat concentrated in the highest SES groups. Results of mediation analyses show both suppression and mediation effects.

Conclusion

High prevalence of behavioral risk factors across SES groups appears to damage health in much of the Chinese population, and thus attenuates social gradients in health. A broader range of cultural, historical, and political factors should be incorporated into FCT's theoretical framework, particularly in non-Western contexts.

•

Most research on the SES-health association uses data from Western countries.

•

This study examine links between SES (education and wealth) and health in China.

•

Greater education and wealth sometimes predict worse health and health behaviors.

•

Countervailing cultural mechanisms may sometimes reverse health gradients in China.

Non-skilled occupation as a risk factor of diabetes among working population: A population-based study of community-dwelling adults in Hong Kong

Diabetes among working population brings to society concerns on productivity and social welfare cost, in addition to healthcare burden. While lower socio-economic status has been recognised as a risk factor of diabetes; occupation, compared with other socio-economic status indicators (e.g., education and income), has received less attention. There is some evidence from studies conducted in Europe that occupation is associated with diabetes risk, but less is known in Asia, which has different organisational cultures and management styles from the West. This study examines the association between occupation and diabetes risk in a developed Asian setting, which is experiencing an increasing number of young onset of diabetes and aging working population at the same time. This is a cross-sectional study of working population aged up to 65 with data from a population-based survey collecting demographic, socio-economic, behavioural and metabolic data from Hong Kong residents, through both self-administered questionnaires and clinical health examinations (1,429 participants). Non-skilled occupation was found to be an independent risk factor for diabetes, with an odds ratio (OR) of 3.38 (p < 0.001) and adjusted OR of 2.59 (p = 0.022) after adjusting for demographic, behavioural and metabolic risk factors. Older age (adjusted OR = 1.08, p < 0.001), higher body mass index (adjusted OR = 1.23, p < 0.001) and having hypertriglyceridemia (adjusted OR = 1.93, p = 0.033) were also independently associated with diabetes. Non-skilled workers were disproportionately affected by diabetes with the highest age-standardized prevalence (6.3%) among all occupation groups (4.9%-5.0%). This study provides evidence that non-skilled occupation is an independent diabetes risk factor in a developed Asian setting. Health education on improving lifestyle practices and diabetes screening should prioritise non-skilled workers, in particular through company-based and sector-based diabetes screening programmes. Diabetes health service should respond to the special needs of non-skilled workers, including service at non-office hour and practical health advice in light of their work setting.

Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study

BACKGROUND

Opportunely screening for diabetes is crucial to reduce its related morbidity, mortality, and socioeconomic burden. Machine learning (ML) has excellent capability to maximize predictive accuracy. We aim to develop ML-augmented models for diabetes screening in community and primary care settings.

METHODS

8425 participants were involved from a population-based study in Hubei, China since 2011. The dataset was split into a development set and a testing set. Seven different ML algorithms were compared to generate predictive models. Non-laboratory features were employed in the ML model for community settings, and laboratory test features were further introduced in the ML+lab models for primary care. The area under the receiver operating characteristic curve (AUC), area under the precision-recall curve (auPR), and the average detection costs per participant of these models were compared with their counterparts based on the New China Diabetes Risk Score (NCDRS) currently recommended for diabetes screening.

RESULTS

The AUC and auPR of the ML model were 0·697and 0·303 in the testing set, seemingly outperforming those of NCDRS by 10·99% and 64·67%, respectively. The average detection cost of the ML model was 12·81% lower than that of NCDRS with the same sensitivity (0·72). Moreover, the average detection cost of the ML+FPG model is the lowest among the ML+lab models and less than that of the ML model and NCDRS+FPG model.

CONCLUSION

The ML model and the ML+FPG model achieved higher predictive accuracy and lower detection costs than their counterpart based on NCDRS. Thus, the ML-augmented algorithm is potential to be employed for diabetes screening in community and primary care settings.

Gender-specific trends of educational inequality in diagnosed diabetes from 1999 to 2014 in Hong Kong: a serial cross-sectional study of 97,481 community-dwelling Chinese adults

Background

Gender differences in the trend of educational inequality in diabetes have been widely observed in the Western populations, indicating the increasing importance of educational attainment as a social determinant of diabetes among women. Nonetheless, relevant evidence is scarce in developed Asian settings for comparisons. This study examined the gender-specific trends of educational inequality in diagnosed diabetes in Hong Kong between 1999 and 2014.

Methods

A series of eight territory-wide population-representative samples of 97,481 community-dwelling Hong Kong Chinese adults aged 45 or above were surveyed between 1999 and 2014. Regression-based Relative Index of Inequality (RII) and age-standardized Slope Index of Inequality (SII) were adopted to examine the extent and trend of gender-specific educational inequality in self-reported physician-diagnosed diabetes.

Results

Age-standardized prevalence of diabetes increased in both genders over time, with a steeper surge among men. In addition, educational inequalities in diabetes, in both relative and absolute terms, significantly widened among women over the study period (annual RII change = 1.04; 95% CI = 1.02–1.07, annual SII change = 0.36%; 95% CI = 0.16–0.56%), with the peak in 2011 (RII = 2.44; 95% CI = 1.83–3.24, SII = 9.21%; 95% CI = 6.47–11.96%). However, no significant widening inequality was found among men. Further adjustment for household income level did not attenuate the observed educational inequality.

Conclusions

Despite a greater increase in diabetes prevalence among men, disparity in diabetes substantially widened across education levels among women in the past decade in Hong Kong. The gender perspective should be taken into considerations for policy making to alleviate the prevalence surge and rising educational inequality in diabetes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12963-021-00268-x.

Prevalence of Diabetes, Prediabetes, and Associated Risk Factors Among Agricultural Village Residents in the Dominican Republic

This study examined the prevalence and risk factors of prediabetes and type 2 diabetes among residents of agricultural settlement villages (bateyes) in the Dominican Republic. From March to April 2016, a cross-sectional, multi-stage cluster survey was conducted across the country's three agricultural regions (southwest, east, and north). At selected households, an adult completed a questionnaire to assess demographics, diabetes knowledge, and care, and two household residents of any age provided finger-prick blood samples that were analyzed for hemoglobin A1c (HbA1c). HbA1c was categorized as normal (< 5.7%), prediabetic (5.7-6.4%), or diabetic (≥ 6.5%). The prevalence rates of diabetes and prediabetes were 8.6% (95% confidence interval [CI], 6.2-11.8%) and 20.4% (95% CI, 17.9-23.2%), respectively, among all participants (N = 1293; median age, 35 years; range, 2-96 years), and 10.0% (95% CI, 7.2-13.8%) and 20.0% (95% CI, 17.4-23.0%), respectively, among adults 18 years or older (N = 730). The average age of participants with diabetes was 47.2 years. The average age of participants with prediabetes was 40.7 years. Among adult questionnaire respondents, 64.8% of all participants and 39.4% of patients with diabetes had not been tested for diabetes previously. Among patients with diabetes, 28.4% were previously diagnosed; 1.2% of prediabetes patients were previously diagnosed. Half (50.7%) of the respondents had heard of diabetes. The majority (94.1%) of patients previously diagnosed with diabetes reported using diabetes medication. Among both undiagnosed and previously diagnosed patients with diabetes, diabetes knowledge, previous diabetes testing, and diabetes care-seeking were lowest among Haitian-born participants. A high burden of undiagnosed diabetes and deficiencies in diabetes knowledge, access to care, and diagnosis exist among all batey inhabitants, but most acutely among Haitians. Improvements will require a multi-sectoral approach.

Warning signals of elevated prediabetes prevalence in the modern Iranian urban population

BACKGROUND

We sought to estimate the prevalence of diabetes mellitus (DM) and pre-DM and their associated factors among a sample of the Iranian urban population between 2017 and 2019.

METHODS

The present investigation is a sub-study on the HAMRAH cohort study, a longitudinal population-based cohort study to assess the 10-year risk of cardiovascular diseases and their related risk factors in the adult population of the Iranian capital, Tehran. Via a multistage cluster randomized sampling method, 2123 adults aged between 30 and 75 years who had no history of cardiovascular diseases were selected for the study. With the aid of the 2010 American Diabetes Association criteria for the definition of DM and pre-DM, age and sex-specific prevalence rates were estimated.

RESULTS

The estimated overall prevalence of DM was 14.3% (95% CI: 13.1%-15.8%): 10.4% known DM (95% CI: 9.1%-11.8%) and 4% newly diagnosed DM (95% CI: 3.1%-5.1%). Pre-DM was detected in about 29.2% of the study participants (95% CI: 22.9-36.3%). Our logistic regression analysis revealed that increasing age, higher systolic blood pressure, higher levels of triglycerides, and lower levels of high-density lipoprotein were significantly associated with DM.

CONCLUSIONS

DM and pre-DM follow a notable incremental pattern among the Iranian urban population. This finding underscores the significance of the need to improve prevention and screening strategies in the Iranian urban population.

Differential educational patterning of cardiometabolic risks between women and men among community-dwelling Chinese adults in Hong Kong: the mediating role of obesity

OBJECTIVES

Educational inequalities in cardiometabolic diseases (CMD) are globally recognised; nonetheless, the evidence on potential explanatory mechanisms and effective strategies for CMD prevention and inequality reduction is relatively scarce in Asia. Therefore, the current study examined the extent and potential mediators of the association of education level with CMD conditions (i.e., hypertension and diabetes) in an advanced economy in Asia.

DESIGN

A cross-sectional study.

SETTING

This territory-wide cross-sectional Population Health Survey in 2014-2015 was performed in Hong Kong. Demographic, socio-economic and lifestyle factors were collected via questionnaire, while clinical data on blood pressure and glucose levels, lipid profiles and anthropometric measures were obtained during health examination. Hypertension and diabetes statuses were objectively defined by both clinical data and the use of relevant medications.

PARTICIPANTS

2297 community-dwelling adults aged between 15-84 years recruited via systematic replicated sampling of living quarters.

RESULTS

Multivariable binary logistic regression analysis showed that lower education level was significantly associated with hypertension among women but not men, whereas similar pattern was also observed for diabetes and other related clinical risk factors. Also, general and abdominal obesity were independently associated with hypertension and diabetes among both women and men, and substantially mediated the observed inequalities across education levels among women. Specifically, abdominal obesity was a particularly strong risk factor and mediator for diabetes.

CONCLUSION

Educational patterning of CMD was more apparent among women in Hong Kong. Obesity control appears to be important for both overall CMD prevention and reduction of educational inequalities in CMD among women.

Prevalence and risk factors of diabetes among adults aged 45 years or older in China: A national cross-sectional study

Background

Although there is preponderance of literature on disease burden of diabetes in developed countries, limited investigations have been conducted in less developed regions including China. This study aimed to explore the current prevalence and risk factors for diabetes, pre‐diabetes, awareness, treatment and control of diabetes in China.

Methods

We included 12,458 adults from the China Health and Retirement Longitudinal Study. We estimated prevalence of diabetes and pre‐diabetes in the overall sample and by socio‐demographics. Bivariate associations of diabetes, pre‐diabetes, awareness, control and treatment of diabetes with health and function measures were evaluated by chi‐squared test and multivariate logistic regression analysis.

Results

We found that the prevalence of diabetes and pre‐diabetes was 13.21% and 25.16%. The prevalence of diabetes increased with advanced age (12.37%, 15.98% and 16.52% among persons who were 45 to 55, 55 to 65 and ≥65 years old, respectively), educational background (14.52%, 15.52% and 15.58% among persons who were illiterate, had primary education and had secondary or above education) and weight (8.18%, 17.05% and 22.54% among persons with a body mass index of 18.5 to 24.9, 25.0 to 29.9 and ≥30.0, respectively). The prevalence of diabetes was higher among urban residents than among rural residents (19.04% vs. 12.85%). We also observed that aged between 55 and 65 years, obesity, history of hypertension and coronary heart disease, and inactivity were significant risk factors of awareness of diabetes.

Conclusion

Our results indicated that diabetes is high prevalent in adults aged 45 years or above in China. The potentially modifiable risk factors should be further studied to develop interventions and strategies aimed at prevention and treatment of diabetes among middle‐aged and older Chinese adults.

The relationship between different C-peptide level and insulin dose of insulin pump

Background

This study aims to explore the insulin requirement profiles, and analyze the related factors of type-2 diabetes mellitus (T2DM) with different C-peptide levels on insulin pump therapy.

Methods

A retrospective study was conducted on 271 T2DM patients treated with insulin pumps from 2016 to 2018. These patients were divided into groups according to the ratio of C-peptide at 2 h after meals to fasting C-peptide (C₂h/C₀), and the dosage of insulin and influencing factors were analyzed.

Results

In comparing group A (C_2h/C₀ < 2.5) with group B (C_2h/C₀ ≥ 2.5), the percentage of the base amount in total (%TBa, 0.50 ± 0.06) in group A was higher than that in group B (0.48 ± 0.05) (P < 0.05). Furthermore, there was a correlation between C_2h/C₀ and waist circumference, HbA1c, Fasting Plasma Glucose (FPG) and Blood glucose 2 h after meal (2hPG) (r = −0.137, −0.154, −0.471, and −0.172; all, P < 0.05). The multiple linear regression analysis revealed that BMI and FPG were independent factors of %TBa (β′ = 0.124 and 0.144; all, P < 0.05), and BMI and FPG were independent factors of C_2h/C₀ (β′ = −0.134 and −0.502; all, P < 0.05).

Conclusions

The basal premeal dose ratio of T2DM with different C-peptide levels differs during intensive insulin pump therapy. Parameters that indicate the glycemic control and β-cell function should be taken into consideration for total insulin requirements.

The burden of type 2 diabetes pre-and during the COVID-19 pandemic - a review

Introduction

Diabetes Mellitus is a chronic disease and a global epidemic. It is a known fact that co-morbidities, including Diabetes Mellitus, pose a higher risk of infection by COVID-19. Additionally, the outcomes following infection are far worse than in people without such co-morbities.Factors contributing to the development of type 2 diabetes mellitus (T2DM) have long been established, yet this disease still bestows a substantial global burden. The aim was to provide a comprehensive review of the burden of diabetes pre-COVID-19 and the additional impact sustained by the diabetes population and healthcare systems during the COVID-19 pandemic, while providing recommendations of how this burden can be subsided.

Methodology

Literature searches were carried out on 'Google Scholar' and 'PubMed' to identify relevant articles for the scope of this review. Information was also collected from reliable sources such as the World Health Organisation and the International Diabetes Federation.

Results

T2DM presented with economic, social and health burdens prior to COVID-19 with an significant 'Disability Adjusted Life Years' impact. Whilst people with diabetes are more susceptible to COVID-19, enforcing lockdown regulations set by the Public Health department to reduce risk of infection brought about its own challenges to T2DM management. Through recommendations and adapting to new methods of management such as telehealth, these challenges and potential consequences of mismanagement are kept to a minimum whilst safeguarding the healthcare system.

Conclusion

By understanding the challenges and burdens faced by this population both evident pre-covid and during, targeted healthcare can be provided during the COVID-19 pandemic. Furthermore, implementation of targeted action plans and recommendations ensures the care provided is done in a safe and effective environment.

Validation of the Simplified Chinese Version of the Brief Diabetes Quality of Life (DQoL) Questionnaire Based on a Cross-Sectional Study

(1) Objective: To assess the reliability and validity of the simplified Chinese version of the brief Diabetes Quality of Life (DQoL) questionnaire in measuring health-related quality of life (HRQoL) in Chinese type 2 diabetes (T2D) patients. (2) Methods: A cross-sectional validation study including 277 patients was conducted at a tertiary hospital in Shanghai, China during April–May, 2018. The English brief DQoL was forward and back-translated into simplified Chinese. The expert interview, exploratory factor analysis (EFA), and Spearman correlation with the 5-level version of EuroQoL-5 (EQ-5D-5L) were employed to establish its validity. The internal reliability was assessed by Cronbach’s alpha. Participants were also stratified into subgroups to evaluate if the Chinese brief DQoL had more test effectiveness in a specific subpopulation. (3) Results: No items were removed from the original English brief DQoL based on the results of factor analysis and expert interview. The Spearman coefficient revealed a low-moderate inverse correlation between DQoL and EQ-5D-5L index and visual analogue scale (VAS), respectively (ρ1 = −0.364, p < 0.0001; ρ2 = −0.514, p < 0.0001). The Cronbach’s alpha coefficient of the final scale was 0.731. (4) Conclusions: The simplified Chinese version of the brief DQoL questionnaire showed reasonable reliability and validity, suggesting its potential appropriateness for evaluating quality of life in Chinese T2D patients. More future efforts should be made to generalize the application of the findings.

Fournier Gangrene Associated with Sodium-Glucose Cotransporter-2 Inhibitors: A Pharmacovigilance Study with Data from the U.S. FDA Adverse Event Reporting System

BACKGROUND

The U.S. Food and Drug Administration (FDA) released a safety warning of Fournier gangrene (FG), a rare but serious adverse effect of sodium-glucose cotransporter-2 (SGLT2) inhibitors in August 2018. However, existing studies have focused mainly on individual FG case reports. Although several previous studies conducted reviews of cases, objective scientific analysis was not applied, and the prognosis data were inadequate.

OBJECTIVE

This study is aimed at presenting data supplementary to existing studies by analysing postmarketing adverse event reports in the FDA Adverse Events Reporting System (FAERS) database. Multiple statistical analysis methods were applied to evaluate the potential association between SGLT2 inhibitors and FG, thus providing reliable and professionalized medication usage recommendations for SGLT2 inhibitors in clinical practice.

METHODS

Disproportionality analysis and Bayesian analysis were applied for data mining among the suspected adverse event reports of FG associated with SGLT2 inhibitors recorded in the FAERS database during the period from January 2004 to September 2019.

RESULTS

There were 542 FG cases identified in the FAERS database in patients receiving SGLT2 inhibitors. Among all SGLT2 inhibitor therapies, empagliflozin was associated with the highest number of FG reports (232 in total), while empagliflozin plus metformin had the strongest association with FG occurrence with the reporting odds ratio (ROR 54.79, 95% two-sided CI 31.56 to 95.12) and proportional reporting ratio (PRR 53.36, χ 2 666.70). There were 391 patients who underwent initial or prolonged hospitalization (72.14%), and 26 patients died (4.81%). Three new FG cases caused by ertugliflozin were found in 2019.

CONCLUSION

The analysis of SGLT2 inhibitor-associated FG reports in the FAERS database identified signals between the drug and adverse events of interest. It also provides comprehensive information on the characteristics of FG onset and prognosis. Clinicians should pay more attention to this rare but severe adverse event when prescribing SGLT2 inhibitors in clinical practice.

Anemia prevalence, severity and associated factors among children aged 6-71 months in rural Hunan Province, China: a community-based cross-sectional study

Background

In recent 10 years, with the rapid socioeconomic development and the extensive implementation of children nutrition improvement projects, the previous epidemiological data cannot reflect the actual level of anemia among children in China, especially in rural areas. Therefore, this study analyzed the prevalence, severity and associated factors of anemia among children aged 6–71 months in rural Hunan Province.

Methods

A community-based cross-sectional study was conducted. Through multistage stratified cluster sampling, 5229 children aged 6 to 71 months and their caregivers were randomly selected from 72 villages across 24 towns in 12 counties from rural Hunan. The demographic characteristics of children and their caregivers, feeding practice, nutritional status of children, caregivers’ anemia-related feeding knowledge, and gestational conditions of mothers were acquired by using a unified questionnaire. Peripheral blood from the left-hand middle fingertip was sampled from each child, and hemoglobin concentration was measured using a HemoCue301 portable hemoglobin analyzer (Sweden). Associated factors analyses involving overall anemia and anemia severities were conducted on multivariate logistic regression models.

Results

The overall anemia prevalence was 8.8%, and the prevalence of mild, moderate and severe anemia was 6.3, 2.5 and 0.1%, respectively. Children age groups of 6–11 months, 12–23 months and 36–47 months, exclusive breast-feeding within 6 months after birth, and maternal moderate/severe anemia were significantly associated with an increased risk of overall anemia in children. Children age groups of 6–11 months and 12–23 months were significantly associated with an increased risk of mild anemia in children. Children age groups of 6–11 months, 12–23 months and 36–47 months, low caregivers’ anemia-related feeding knowledge level, and maternal moderate/severe anemia were significantly associated with an increased risk of moderate/severe anemia in children. Children who underwent regular physical examination were less likely to have moderate/severe anemia. The common protective factor for overall, mild and moderate/severe anemia in children was high family income.

Conclusions

The anemia status of preschool children in rural Hunan Province was a mild public health problem and associated with children age group, feeding practice, regular physical examination, family income, caregivers’ anemia-related feeding knowledge level, and maternal moderate/severe anemia.

Diabetes Mellitus and Stroke - A cross Sectional Study of 2.5 Million Adults in the United States

Objectives: The main purpose of this work is to study diabetes mellitus and stroke in the United States during the years 2007-2017 and to find not only statistically significant predictors for diabetes, but also a possible association between diabetes and stroke. Methods: Chi-square test and One-way analysis of variance (ANOVA) were the statistical methods used to derive the results of this work in order to check the statistical significance of diabetes mellitus in relation to patients' socioeconomic factors. In addition, a multivariate logistic regression analysis was used to obtain odds ratio and find statistically significant prognostic factors for both diabetes and stroke. Results: According to multiple logistic regression analysis, the risk for diabetes mellitus is four times higher in widowed men and two times higher in unemployed male subjects who had previously worked. In addition, marital status and employment have been shown to be prognostic risks for stroke. Conclusion: The results describe for the first time the importance of deprivation (of work and partner) as a primary prognostic risk factor for diabetes. Moreover, the same factor was proved to be the primary prognostic risk factor for both stroke and diabetes, which implies a nexus between diabetes mellitus and stroke.

How does socioeconomic development in Brazil shape social inequalities in diabetes?

Many countries, including Brazil, are facing growing social inequalities in diabetes prevalence. The different states in Brazil represent different levels of development and by comparing diabetes inequalities across states we aim to get a better understanding of how educational inequalities in diabetes are linked to social development. We use the latest cross-sectional national health survey of Brazil - PNS-2013 (N = 60,202) and analyse the disparities in diabetes as well as the differential exposure and susceptibility to the effect of obesity across states for men and women. Among women in high-HDI states the prevalence of diabetes is 11.7 percentage units (CI: 9.3; 14.0) higher among the lowest compared to the highest educated. In less-developed states the disparity is smaller. Among men, there is no social gradient found for diabetes, but obesity is positively associated with education. The association between obesity and diabetes is stronger among the low educated particularly for men in high-HDI states. Here the interaction effect between low education and obesity is 11.7 (CI 8.1; 15.4) percentage units. The fact that economic development is associated with increasingly unequal levels of diabetes and with unequal levels of exposure and susceptibility to obesity indicates that other interacting determinants are important for the development of the diabetes epidemic in Brazil.

The Play of Genes and Non-genetic Factors on Type 2 Diabetes

Diabetes has been a disease of public health concern for a number of decades. It was in the 1930s when scientists made an interesting discovery that the disease is actually divided into two types as some patients were insensitive to insulin treatment then. Type 2 Diabetes which happens to be the non-insulin dependent one is the most common form of the disease and is caused by the interaction between genetic and non-genetic factors. Despite conflicting results, numerous studies have identified genetic and non-genetic factors associated with this common type of diabetes. This review has summarized literature on some genes and non-genetic factors which have been identified to be associated with Type 2 diabetes. It has sourced literature from PubMed, Web of Science and Medline without any limitation to regions, publication types, or languages. The paper has started with the introduction, the play of non-genetic factors, the impact of genes in general, and ended with the interaction between some genes and environmental factors.

Sex differences in the association between socioeconomic status and diabetes prevalence and incidence in China: cross-sectional and prospective studies of 0.5 million adults

AIMS/HYPOTHESIS

China has undergone rapid socioeconomic transition accompanied by lifestyle changes that are expected to have a profound impact on the health of its population. However, there is limited evidence from large nationwide studies about the relevance of socioeconomic status (SES) to risk of diabetes. We describe the associations of two key measures of SES with prevalent and incident diabetes in Chinese men and women.

METHODS

The China Kadoorie Biobank study included 0.5 million adults aged 30-79 years recruited from ten diverse areas in China during 2004-2008. SES was assessed using the highest educational level attained and annual household income. Prevalent diabetes was identified from self-report and plasma glucose measurements. Incident diabetes was identified from linkage to disease and death registries and national health insurance claim databases. We estimated adjusted ORs and HRs for prevalent and incident diabetes associated with SES using logistic and Cox regression models, respectively.

RESULTS

At baseline, 30,066 (5.9%) participants had previously diagnosed (3.1%) or screen-detected (2.8%) diabetes among 510,219 participants included for cross-sectional analyses. There were 480,153 people without prevalent diabetes at baseline, of whom 9544 (2.0%) had new-onset diabetes during follow-up (median 7 years). Adjusted ORs (95% CIs) for prevalent diabetes, comparing highest vs lowest educational level, were 1.21 (1.09, 1.35) in men and 0.69 (0.63, 0.76) in women; for incident diabetes, the corresponding HRs were 1.27 (1.07, 1.51) and 0.80 (0.67, 0.95), respectively. For household income, the adjusted ORs for prevalent diabetes, comparing highest vs lowest categories, were 1.45 (1.34, 1.56) in men and 1.26 (1.19, 1.34) in women; for incident diabetes, the HRs were 1.36 (1.19, 1.55) and 1.06 (0.95, 1.17), respectively.

CONCLUSIONS/INTERPRETATION

Among Chinese adults, the associations between education and diabetes prevalence and incidence differed qualitatively between men and women, whereas higher household income was positively associated with diabetes prevalence and incidence in both sexes, with a stronger relationship in men than in women.

Utilization patterns of insulin for patients with type 2 diabetes from national health insurance claims data in South Korea

Type 2 diabetes mellitus (T2DM) is a chronic disease that requires long-term therapy and regular check-ups to prevent complications. In this study, insurance claim data from the National Health Insurance Service (NHIS) of Korea were used to investigate insulin use in T2DM patients according to the economic status of patients and their access to primary physicians, operationally defined as the frequently used medical care providers at the time of T2DM diagnosis. A total of 91,810 participants were included from the NHIS claims database for the period between 2002 and 2013. The utilization pattern of insulin was set as the dependent variable and classified as one of the following: non-use of antidiabetic drugs, use of oral antidiabetic drugs only, or use of insulin with or without oral antidiabetic drugs. The main independent variables of interest were level of income and access to a frequently-visited physician. Multivariate Cox proportional hazards analysis was performed. Insulin was used by 9,281 patients during the study period, while use was 2.874 times more frequent in the Medical-aid group than in the highest premium group [hazard ratio (HR): 2.874, 95% confidence interval (CI): 2.588-3.192]. Insulin was also used ~50% more often in the patients managed by a frequently-visited physician than in those managed by other healthcare professionals (HR: 1.549, 95% CI: 1.434-1.624). The lag time to starting insulin was shorter when the patients had a low income and no frequently-visited physicians. Patients with a low level of income were more likely to use insulin and to have a shorter lag time from diagnosis to starting insulin. The likelihood of insulin being used was higher when the patients had a frequently-visited physician, particularly if they also had a low level of income. Therefore, the economic statuses of patients should be considered to ensure effective management of T2DM. Utilizing frequently-visited physicians might improve the management of T2DM, particularly for patients with a low income.

Association between blood microbiome and type 2 diabetes mellitus: A nested case-control study

Background

Although recent studies have indicated that gut microbiome dysbiosis was significantly associated with the onset of type 2 diabetes mellitus (T2DM), information on the role of blood microbiome in T2DM development is scarce.

Methods

Fifty incident T2DM cases and 100 matched non‐T2DM controls were selected from a prospective cohort study of “135.” The composition of the blood microbiome was characterized using bacterial 16S ribosomal RNA (16S rRNA) gene sequencing from pre‐diagnostic blood sample. The amplicons were normalized, pooled, and sequenced on the Illumina MiSeq instrument using a MiSeq Reagent Kit PE300 v3 kit.

Results

Totally, 3 000 391 and 6 244 227 high‐quality sequences were obtained from T2DM patients and non‐T2DM controls, respectively. The mean diversity of the blood microbiome (Simpson, Chao1 and Shannon indices) was not different between two groups at baseline. At genus level, the Aquabacterium, Xanthomonas, and Pseudonocardia were presented with lower abundance, while Actinotalea, Alishewanella, Sediminibacterium, and Pseudoclavibacter were presented with higher abundance among T2DM cases compared to those in non‐T2DM controls. As the results shown, participants carried the genus Bacteroides in blood were significantly associated with a decreased risk for T2DM development, with 74% vs 88% (adjusted OR: 0.367, 95% CI: 0.151‐0.894). However, participants carried the genus Sediminibacterium have an increased risk for T2DM, with adjusted OR (95% CI) being 14.098 (1.358, 146.330).

Conclusions

Blood microbiome may play an etiology role in the development of T2DM. These findings would be useful to develop microbiota‐based strategies for T2DM prevention and control.

Association between life-course socio-economic status and prevalence of cardio-metabolic risk ractors in five middle-income countries

BACKGROUND

The burden of non-communicable diseases has increased rapidly in low- and middle-income countries. Past studies have reported an association between socioeconomic status (SES) and cardio-metabolic risk factors, but most have focused on upper income countries. The purpose of this study is to examine the association between SES over the life-course and the burden of cardio-metabolic risk factors in middle-income countries.

METHODS

A total of 38 297 adults from China, Mexico, India, South Africa and Russia were included in this cross-sectional study. Life-course SES was defined based on maternal and participant education, and data on blood pressure, body mass index (BMI), self-reported diabetes and hypertension were obtained by trained interviewers. Descriptive, age standardized and multivariable adjusted analyses were conducted using survey weighted statistical procedures in SAS 9.4 (SAS Institute, Cary, NC, USA).

RESULTS

Although 14% of men and 12% of women had current hypertension based on blood pressure measurements, only 2% of men and 4% of women were aware of their hypertensive status. Men with stable high life-course SES had higher odds of being overweight/obese (odds ratio OR = 2.01, 95% confidence interval (CI) = 1.30-3.10), diabetic (OR = 4.82, 95% CI = 2.07-11.2) and hypertensive based on self-report (OR = 3.42, 95% CI = 1.85-6.32) compared to men of low life-course SES. Among women, the odds of being overweight/obese were significantly higher among women with high life-course SES (OR = 1.50, 95% CI = 1.08-2.08).

CONCLUSIONS

Higher life-course SES for both men and women was associated with increased odds of overweight/ obesity, and additionally diabetes and hypertension for men in middle income countries.

Socioeconomic status and self-reported, screen-detected and total diabetes prevalence in Chinese men and women in 2011-2012: a nationwide cross-sectional study

Background

A rapid epidemiological transition is taking place in China and the association between socioeconomic status (SES) and diabetes prevalence is not clear and may vary by population characteristics and geography within the country. We describe the associations between educational level, annual household living expenditure (AHLE) and diabetes prevalence in a large middle-aged and elderly Chinese population using data from a nationwide cross-sectional study.

Methods

We used data from the China Health and Retirement Longitudinal Study, which collected information from interviews and blood tests from a nationwide sample of people over 44 years of age in 2011-2012. We used multivariable logistic regression to describe the association between highest levels of education (high school or above compared to illiterate) or AHLE (top vs bottom quartile) and self-reported, screen-detected or total diabetes prevalence. We stratified by sex and adjusted for age, education or AHLE (as appropriate), urban, rural or migrant residence status and geographical area.

Results

Complete data were available for 10 100 participants of whom 10.5% and 28.9% had the highest and the lowest levels of education respectively. Overall prevalence of self-reported diabetes was 6.0% and of screen-detected diabetes was 9.8%. Higher education level was associated with both self-reported diabetes (odds ratio (OR) = 2.41, 95% confidence interval CI = 1.36-4.46) and total diabetes (OR = 1.53 95%, CI = 1.10-2.15) only in men. AHLE was associated with self-reported diabetes in men (OR = 1.87, 95% CI = 1.26-2.84) and women (OR = 2.31, 95% CI = 1.62-3.34). There was no association between SES and screen-detected diabetes for men or women.

Conclusions

SES inequalities exist in prevalence of diabetes in China and can be used to inform approaches to prevention. Identification and appropriate intervention for people with undiagnosed diabetes is required for all SES groups.

The relationship between socio-economic status and diagnosed Type 2 diabetes is changing with economic growth in Nanjing, China

AIM

In developed countries, the relationship between socio-economic status (SES) and Type 2 diabetes was positive several decades ago but is now negative. However, in developing societies such as China the relationship remains positive. It is likely that at some stage of economic development the SES-Type 2 diabetes association will become negative in developing communities. This study aimed to examine whether this inflexion is approaching in China.

METHODS

Two cross-sectional surveys were undertaken in Nanjing, China, in 2000 and 2011. The same sampling approach was used to randomly select participants. Diagnosed Type 2 diabetes was the outcome variable. SES was measured using monthly family average income and divided into thirds. Mixed-effects models were used to calculate the association between SES and Type 2 diabetes.

RESULTS

There were 19 861 (response rate, 90.1%) and 7824 (response rate, 82.8%) participants in 2000 and 2011, respectively. A 2.6-fold increase in Type 2 diabetes prevalence was observed from 3.0% (95% confidence interval 2.8%, 3.3%) in 2000 to 8.2% (7.7%, 8.8%) in 2011 (P < 0.01). After controlling for potential confounders, the odds ratios of having Type 2 diabetes decreased from 2.06 (95% CI 1.55, 2.73) and 1.83 (1.40, 2.37) in 2000 to 1.58 (1.23, 2.02) and 1.35 (1.06, 1.74) in 2011 for the higher and middle SES groups respectively, compared with those in the lower SES category.

CONCLUSIONS

The SES-Type 2 diabetes association remained positive in Nanjing, China, in 2011 but the disparity diminished significantly compared with 2000. These results can inform the delivery of appropriate interventions to people at risk of developing Type 2 diabetes.

Socioeconomic Factors and Inequality in the Prevalence and Treatment of Diabetes among Middle-Aged and Elderly Adults in China

BACKGROUND

In China, the prevalence of diabetes has increased significantly over recent decades, owing to the county's rapidly aging population. Although many studies have examined the prevalence of diabetes worldwide, there has been little analysis of the inequalities in its prevalence and treatment among middle-aged and elderly people.

OBJECTIVES

This study evaluates influence factors and inequality in respect to the prevalence of diabetes and medication treatment among middle-aged and elderly Chinese adults.

METHODS

Data were obtained from the China Health and Retirement Longitudinal Study, a nationally representative household survey of middle-aged and elderly people (i.e., 45 years of age or older). Logistic regression models and the concentration index were used to estimate socioeconomic factors and inequalities in diabetes prevalence and treatment.

RESULTS

The prevalence of self-reported diabetes among middle-aged and elderly Chinese adults was 8.4%; this figure was significantly higher in urban areas than in rural areas. Concentrations of prevalence were observed among the poor in urban areas and among the rich in rural areas. Overall, the incidence of receiving antidiabetic medication among diabetes patients was 64.3%; this was significantly higher for individuals in urban areas than those in rural areas, suggesting that awareness of diabetes treatment in urban areas is better than that in rural areas. A disproportionate concentration of incidence of receiving antidiabetic medication was observed among the rich in both urban and rural areas. Socioeconomic factors significantly affected the prevalence of diabetes and the likelihood of receiving medication and are major contributors to inequality.

CONCLUSION

In China, policies and strategies regarding diabetes prevention and control should further focus on associated socioeconomic factors and major contributors to reduce diabetes prevalence, improve diabetes treatment and management, and alleviate current inequality in the prevalence and treatment of diabetes among middle-aged and elderly adults.