Diabetes self-risk assessment questionnaires coupled with a multimedia health promotion campaign are cheap and effective tools to increase public awareness of diabetes in a large Chinese population

Judging the possibility of the onset of diabetes mellitus type 2 from reported behavioral changes and from family history

BACKGROUND

Undiagnosed type 2 diabetes is common and can lead to unrecognized health complications. Given that earlier detection can reduce the damage to vital organs, it is important for all persons to be able to make the connection between certain new manifestations in their bodies and the possibility of diabetes. This study examined the extent to which people use the behavioral changes they observe in others (or in themselves), as well as relevant family history, to judge the possibility of the onset of diabetes.

METHODS

One hundred and fifty-six adults living in France examined a set of realistic vignettes describing a person with (or without) signs suggestive of diabetes (e.g., increased thirst, family antecedents) and judged the possibility of the disease in each case.

RESULTS

Overall, 36% of participants focused on reported symptoms when judging the possibility of diabetes, 37% focused on family history, and 29% were not able to use the information or tended systematically to minimize the possibility of diabetes.

CONCLUSIONS

People in France and probably around the world need a greater awareness not only of the factors putting them at risk of diabetes, but also of the specific signs and symptoms suggesting that they might be developing it.

Systematic Review of the Effectiveness of Community Intervention and Health Promotion Programs for the Prevention of Non-Communicable Diseases in Japan and Other East and Southeast Asian Countries

Background: Non-communicable diseases (NCDs) are the leading cause of death worldwide. However, current evidence regarding the efficacy and cost-effectiveness of community intervention and health promotion programs for NCDs, specifically hypertension, obesity, diabetes, and dyslipidemia, in East and Southeast Asia has not yet been systematically reviewed. We systematically reviewed the literature from East and Southeast Asian countries to answer 2 clinical questions: (1) do health promotion programs for hypertension, obesity, diabetes, and dyslipidemia reduce cardiovascular events and mortality; and (2) are these programs cost-effective?

Methods and Results: Electronic literature searches were performed across Medline, Cochrane Library, and Ichushi using key words and relevant subject headings related to randomized controlled trials, comparative studies, quasi-experimental studies, or propensity score matching that met eligibility criteria that were defined for each question. In all, 3,389 records were identified, of which 12 full-text articles were reviewed. Three papers were from Japan, 7 were from China/Hong Kong Special Administrative Region, and 2 were from South Korea. None were from Southeast Asia. Four papers examined the effect of community intervention or health promotion on the incidence of cardiovascular events or mortality. Eight studies examined the cost-effectiveness of interventions.

Conclusions: The literature review revealed that community intervention and health promotion programs for the control of NCDs are a cost-effective means of reducing cardiovascular events and mortality in East Asian countries.

New risk score model for identifying individuals at risk for diabetes in southwest China

The prevalence of diabetes is increasing rapidly and becoming a major public health issue worldwide. We aimed to develop a novel nomogram model for long-term diabetic risk prediction in a Chinese population. A prospective cohort study was performed on 687 nondiabetic individuals who underwent routine physical examination in 1992 and 2007. Using the least absolute shrinkage and selection operator model to optimize feature selection. Multiple Cox regression analysis was performed, and a simple nomogram was constructed. The area under receiver operating characteristic curve (AUC) and calibration plot were conducted to assess the predictive accuracy of the model. The model was subjected to bootstrap internal validation. Of the 687 participants without diabetes at baseline, 74 developed diabetes during the follow-up time. This simple nomogram model was constructed by family history of diabetes, height, waist circumference, triglycerides, fasting plasma glucose and white blood cell count. The AUCs were 0.812 (95% CI: 0.729-0.895) and 0.794 (95% CI: 0.734-0.854) for 10-year and 15-year diabetic risk. The bootstrap corrected c-index was 0.771 (95% CI: 0.721-0.821). The calibration plot also achieved good agreement between observational and actual diabetic incidence. The stratification into different risk groups by optimal cut-off value of 12.8 allowed significant distinction between cumulative diabetic incidence curves in the whole cohort and several subgroups. We established and internally validated a novel nomogram which can provide individual diabetic risk prediction for Chinese population and this practical screening model may help clinicians to identify individuals at high risk of diabetes.

Analysis of the Japanese Diabetes Risk Score and fatty liver markers for incident diabetes in a Japanese cohort

AIMS

We examined the effectiveness of the Japanese Diabetes Risk Score (JPDRISC) and fatty liver markers for predicting incident diabetes.

METHODS

We created the JPDRISC. The study periods I and II were January 2007 to May 2009 and June 2009 to December 2011, respectively. A total of 2084 people (1389 men, 695 women; mean age: 46 years) were included. People with diabetes in the Period I and those with ethanol intake >140 g/week were excluded. A total of 1515 people were included. Fatty liver using ultrasonography scores (FLUS) were assigned.

RESULTS

The mean observation period was 26.3 months, and 24 people had developed diabetes between the Periods I and II. In logistic regression analysis, the JPDRISC (OR=1.197, 95% C.I.: 1.062-1.350, p=0.003) and FLUS (OR=2.591, 95% C.I.: 1.411-4.758, p=0.002) in the Period I were independent determinants of incident diabetes. In receiver operating characteristic analysis, sensitivity and specificity for incident diabetes were 0.885 and 0.536, respectively, in people with both FLUS≥1 and the total JPDRISC≥6 in the Period I. The sensitivity was better than the JPDRISC alone (sensitivity 0.696) and FLUS alone (sensitivity 0.750).

CONCLUSIONS

JPDRISC and FLUS were independently associated with incident diabetes and their combination is useful.

Impact of a diabetes screening program on a rural Chinese population: a 3-year follow-up study

BACKGROUND

Screening for type 2 diabetes helps detect previously unknown diabetes and identify people with pre-diabetes, but the adverse impact of such screening on individuals labelled as pre-diabetes or classified as normal, is less known. In this study the health-related quality of life (HRQoL), depression and lifestyle changes in a rural Chinese population are assessed three years after a screening program.

METHODS

A total of 647 (39.1%) individuals with pre-diabetes and 1009 (60.9%) individuals with normoglycaemia from a population-based diabetes screening program in 2009 were re-examined in 2012-2013. Changes at the end of 3 years in HRQoL, depression, BMI, weight, frequency of physical activity and vegetable intake were assessed.

RESULTS

In men with normoglycaemia the mean (SD) 15D scores were 0.974 (0.04) at baseline and 0.973 (0.05) at follow-up; and 0.971 (0.05) and 0.966 (0.06) for men with pre-diabetes. In women the scores were 0.973 (0.05) and 0.963 (0.06) for normoglycaemia and 0.959 (0.06) and 0.954 (0.07) for pre-diabetes, respectively. Compared to baseline, the HRQoL was slightly lower at 3 years in all groups but the change was not considered to be clinically important, and was only statistically significant for women with normoglycaemia (p < 0.05). The depression score was slightly elevated in women, but not in men. No significant changes in BMI were noticed, but weight increased slightly in the normoglycemia group (p < 0.05). Screening had a significant positive impact on physical activity and vegetable intake.

CONCLUSIONS

This population-based diabetes screening program generated long-term positive changes toward a healthy lifestyle as measured by physical activity and vegetable intake for all the participants without adverse effects on the HRQoL and depression.

Health status of primary school educators in low socio-economic areas in South Africa

BACKGROUND

Non-communicable Diseases (NCDs) are major health concerns in South Africa. According to the life cycle approach NCD prevention strategies should target children. Educators are important external factors influencing behaviour of learners. The objective of this study was to assess the prevalence of selective NCD risk factors in educators of primary school learners.

METHODS

A cross-sectional design was used to assess the body mass index (BMI) and waist circumference (WC), blood glucose (BG), cholesterol (BC), blood pressure (BP), perceived health and weight, and parental NCD history of 517 educators in the Western Cape of South Africa.

RESULTS

The sample included 40% males and 60% females; 64% urban and 36% rural, 87% were mixed ancestry, 11% white and 2% black. Mean age for the total group was 52 ± 10.1 years, BMI 30 ± 1.2 kg/m(2) (31% overweight, 47% obese), diastolic BP 84 ± 10.0 mmHg, systolic BP 134 ± 18.7 mmHg (46% high BP), BG 4.6 ± 2.3 mmol/L (2% high BG), BC 4.4 ± 0.9 (30.4% high BC) and WC 98 ± 14.1 cm for males (38% high WC) and 95 ± 15.3 for females (67% high WC). BMI was higher (p = 0.001) and systolic (p = 0.001) and diastolic (p = 0.005) BP lower in females. Rural educators were more obese (p = 0.001). BMI (p = 0.001) and systolic BP (p = 0.001) were lower in younger educators. Correct awareness of personal health was 65% for BP, 79.2% for BC and 53.3% for BG. Thirty-eight percent overweight/obese females and 33% males perceived their weight as normal.

CONCLUSION

The findings of this study demonstrated a number of characteristics of educators in the two study areas that may influence their risk for developing NCDs and their potential as role models for learners. These included high levels of obesity, high blood pressure, high waist circumference, high cholesterol levels, and high levels of blood glucose. Furthermore, many educators had a wrong perception of their actual body size and a lack of awareness about personal health.

Geographical variation in diabetes prevalence and detection in china: multilevel spatial analysis of 98,058 adults

OBJECTIVE

To investigate the geographic variation in diabetes prevalence and detection in China.

RESEARCH DESIGN AND METHODS

Self-report and biomedical data were collected from 98,058 adults aged ≥18 years (90.5% response) from 162 areas spanning mainland China. Diabetes status was assessed using American Diabetes Association criteria. Among those with diabetes, detection was defined by prior diagnosis. Choropleth maps were used to visually assess geographical variation in each outcome at the provincial level. The odds of each outcome were assessed using multilevel logistic regression, with adjustment for person- and area-level characteristics.

RESULTS

Geographic visualization at the provincial level indicated widespread variation in diabetes prevalence and detection across China. Regional prevalence adjusted for age, sex, and urban/rural socioeconomic circumstances (SECs) ranged from 8.3% (95% CI 7.2%, 9.7%) in the northeast to 12.7% (11.1%, 14.6%) in the north. A clear negative gradient in diabetes prevalence was observed from 13.1% (12.0%, 14.4%) in the urban high-SEC to 8.7% (7.8%, 9.6%) in rural low-SEC counties/districts. Adjusting for health literacy and other person-level characteristics only partially attenuated these geographic variations. Only one-third of participants living with diabetes had been previously diagnosed, but this also varied substantively by geography. Regional detection adjusted for age, sex, and urban/rural SEC, for example, spanned from 40.4% (34.9%, 46.3%) in the north to 15.6% (11.7%, 20.5%) in the southwest. Compared with detection of 40.8% (37.3%, 44.4%) in urban high-SEC counties, detection was poorest among rural low-SEC counties at just 20.5% (17.7%, 23.7%). Person-level characteristics did not fully account for these geographic variations in diabetes detection.

CONCLUSIONS

Strategies for addressing diabetes risk and improving detection require geographical targeting.

Looking at non-communicable diseases in Uganda through a local lens: an analysis using locally derived data

The demographic and nutritional transitions taking place in Uganda, just as in other low- and middle-income countries (LMIC), are leading to accelerating growth of chronic, non-communicable diseases (NCDs). Though still sparse, locally derived data on NCDs in Uganda has increased greatly over the past five years and will soon be bolstered by the first nationally representative data set on NCDs. Using these available local data, we describe the landscape of the globally recognized major NCDs- cardiovascular disease, diabetes, cancer, and chronic respiratory disease- and closely examine what is known about other locally important chronic conditions. For example, mental health disorders, spawned by an extended civil war, and highly prevalent NCD risk factors such as excessive alcohol intake and road traffic accidents, warrant special attention in Uganda. Additionally, we explore public sector capacity to tackle NCDs, including Ministry of Health NCD financing and health facility and healthcare worker preparedness. Finally, we describe a number of promising initiatives that are addressing the Ugandan NCD epidemic. These include multi-sector partnerships focused on capacity building and health systems strengthening; a model civil society collaboration leading a regional coalition; and a novel alliance of parliamentarians lobbying for NCD policy. Lessons learned from the ongoing Ugandan experience will inform other LMIC, especially in sub-Saharan Africa, as they restructure their health systems to address the growing NCD epidemic.

Nonlaboratory-based risk assessment algorithm for undiagnosed type 2 diabetes developed on a nation-wide diabetes survey

OBJECTIVE

To develop a New Chinese Diabetes Risk Score for screening undiagnosed type 2 diabetes in China.

RESEARCH DESIGN AND METHODS

Data from the China National Diabetes and Metabolic Disorders Study conducted from June 2007 to May 2008 comprising 16,525 men and 25,284 women aged 20-74 years were analyzed. Undiagnosed type 2 diabetes was detected based on fasting plasma glucose ≥7.0 mmol/L or 2-h plasma glucose ≥11.1 mmol/L in people without a prior history of diabetes. β-Coefficients derived from a multiple logistic regression model predicting the presence of undiagnosed type 2 diabetes were used to calculate the New Chinese Diabetes Risk Score. The performance of the New Chinese Diabetes Risk Score was externally validated in two studies in Qingdao: one is prospective with follow-up from 2006 to 2009 (validation 1) and another cross-sectional conducted in 2009 (validation 2).

RESULTS

The New Chinese Diabetes Risk Score includes age, sex, waist circumference, BMI, systolic blood pressure, and family history of diabetes. The score ranges from 0 to 51. The area under the receiver operating curve of the score for undiagnosed type 2 diabetes was 0.748 (0.739-0.756) in the exploratory population, 0.725 (0.683-0.767) in validation 1, and 0.702 (0.680-0.724) in validation 2. At the optimal cutoff value of 25, the sensitivity and specificity of the score for predicting undiagnosed type 2 diabetes were 92.3 and 35.5%, respectively, in validation 1 and 86.8 and 38.8% in validation 2.

CONCLUSIONS

The New Chinese Diabetes Risk Score based on nonlaboratory data appears to be a reliable screening tool to detect undiagnosed type 2 diabetes in Chinese population.

Evaluation of two screening methods for undiagnosed diabetes in China: an cost-effectiveness study

AIMS

To evaluate the performance and cost-effectiveness of two screening methods to identify undiagnosed diabetes at primary care settings among a Chinese population.

METHODS

Two screening methods using a fasting capillary glucose (FCG) test or a Chinese diabetes risk score (DRS) at primary care settings followed by diagnostic tests were compared. The performance of FCG and DRS was evaluated by using receiver operating characteristic (ROC) curve analysis. The main economic outcome measures were the total cost of screening per 1000 persons, proportion of undiagnosed diabetes detected, and cost per undiagnosed diabetes identified from the societal perspective.

RESULTS

Among all participants, 14.6% (1349/9232) had undiagnosed diabetes defined by fasting plasma glucose ≥ 7.0mmol/l and/or 2h plasma glucose ≥ 11.1mmol/l and/or hemoglobin A1c ≥ 6.5%. At the optimal cutoff point of 6.1mmol/l for FCG and 14 for DRS, the sensitivity was 65.1% and 65.8%, and specificity was 72.4% and 55.2%, respectively. The area under the ROC curve was 75.3% for FCG and 63.7% for DRS (P<0.001). Based on the input costs, the total cost of screening 1000 persons was ¥64,000 ($9143) for FCG and ¥81,000 ($11,571) for DRS. The average cost per case identified was ¥674 ($96) for FCG at cutoff point of 6.1mmol/l and ¥844 ($121) for DRS at score of 14. The incremental cost per case identified was ¥17,000 ($2429) for DRS compared to FCG. The dominance relations between strategies remained with the changed in sensitivity analysis.

CONCLUSIONS

As a first-line screening tool for undiagnosed diabetes, the FCG test performed better than the DRS in primary care settings in China. The non-invasive and layperson-oriented DRS was feasible and detected more cases but more expensive. No strategy has strong dominance that was both more effective and less costly. The favorable strategy will depend on if the purpose of the screening program is to identify more cases or to have lower cost per case.