Geographic variation in the prevalence of obesity, diabetes, and obesity-related behaviors

Association of community types and features in a case-control analysis of new onset type 2 diabetes across a diverse geography in Pennsylvania

OBJECTIVES

To evaluate associations of community types and features with new onset type 2 diabetes in diverse communities. Understanding the location and scale of geographic disparities can lead to community-level interventions.

DESIGN

Nested case-control study within the open dynamic cohort of health system patients.

SETTING

Large, integrated health system in 37 counties in central and northeastern Pennsylvania, USA.

PARTICIPANTS AND ANALYSIS

We used electronic health records to identify persons with new-onset type 2 diabetes from 2008 to 2016 (n=15 888). Persons with diabetes were age, sex and year matched (1:5) to persons without diabetes (n=79 435). We used generalised estimating equations to control for individual-level confounding variables, accounting for clustering of persons within communities. Communities were defined as (1) townships, boroughs and city census tracts; (2) urbanised area (large metro), urban cluster (small cities and towns) and rural; (3) combination of the first two; and (4) county. Community socioeconomic deprivation and greenness were evaluated alone and in models stratified by community types.

RESULTS

Borough and city census tract residence (vs townships) were associated (OR (95% CI)) with higher odds of type 2 diabetes (1.10 (1.04 to 1.16) and 1.34 (1.25 to 1.44), respectively). Urbanised areas (vs rural) also had increased odds of type 2 diabetes (1.14 (1.08 to 1.21)). In the combined definition, the strongest associations (vs townships in rural areas) were city census tracts in urban clusters (1.41 (1.22 to 1.62)) and city census tracts in urbanised areas (1.33 (1.22 to 1.45)). Higher community socioeconomic deprivation and lower greenness were each associated with increased odds.

CONCLUSIONS

Urban residence was associated with higher odds of type 2 diabetes than for other areas. Higher community socioeconomic deprivation in city census tracts and lower greenness in all community types were also associated with type 2 diabetes.

Cardiovascular disease risk and the time to insulin initiation for Medicaid enrollees with type 2 diabetes

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No CVD benefits gains from early insulin initiation in young T2D individuals.

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CVD possibly pre-exists or concurrent to insulin initiation or first-line therapy.

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Young T2D individuals needs additional management of hypertension and dyslipidemia.

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CVD risk before insulin initiation is examined by innovative methods in large cohort.

Aims

We evaluated the relationship between the timing of insulin initiation and cardiovascular diseases (CVD) risk in Pennsylvania Medicaid enrollees with type 2 diabetes (T2D).

Methods

We included 17,873 enrollees (age 47.4 ± 10.3 years; range 18–64 years) initially treated with non-insulin glucose-lowering agents (GLAs) in 2008–2016. Based on clinical guidelines, we identified early (N = 1,158; 6%; insulin initiation ≤ 6 months after first-line GLAs), in-time (N = 569; 3%; 6–12 months), delayed (N = 2,761; 15%; >12 months), and non-insulin users (N = 13,385; 75%). The Prentice-Williams-Peterson (PWP) models with inverse probability weighting estimated CVD risk across the four groups and the change in risk after insulin initiation.

Results

Regardless of time to insulin initiation, insulin users had higher CVD risks after first-line GLAs than non-insulin users (aHR: early: 2.0 [1.5–2.5], in-time: 1.8 [1.2–2.6], delayed: 1.9 [1.6–2.3]). However, we found only a borderline increase in CVD risk after insulin initiation vs. before in early (aHR: 1.4 [1.1–1.8]) and delayed users (aHR: 1.3 [1.0–1.7]), and no increase in in-time users (aHR: 1.3 [0.9–2.0]).

Conclusions

We observed no gains in CVD benefits from insulin initiation in the early stages of pharmacotherapy possibly because CVD developed before insulin initiation. Additional management of hypertension and dyslipidemia may be important to reduce CVD risk in this young and middle-aged T2D cohort.

Investigation of geographic disparities of pre-diabetes and diabetes in Florida

BACKGROUND

Diabetes is a leading cause of death and disability in the United States, and its precursor, pre-diabetes, is estimated to occur in one-third of American adults. Understanding the geographic disparities in the distribution of these conditions and identifying high-prevalence areas is critical to guiding control and prevention programs. Therefore, the objective of this study was to investigate clusters of pre-diabetes and diabetes risk in Florida and identify significant predictors of the conditions.

METHODS

Data from the 2013 Behavioral Risk Factor Surveillance System were obtained from the Florida Department of Health. Spatial scan statistics were used to identify and locate significant high-prevalence local clusters. The county prevalence proportions of pre-diabetes and diabetes and the identified significant clusters were displayed in maps. Logistic regression was used to identify significant predictors of the two conditions for individuals living within and outside high-prevalence clusters.

RESULTS

The study included a total of 34,186 respondents. The overall prevalence of pre-diabetes and diabetes were 8.2 and 11.5%, respectively. Three significant (p < 0.05) local, high-prevalence spatial clusters were detected for pre-diabetes, while five were detected for diabetes. The counties within the high-prevalence clusters had prevalence ratios ranging from 1.29 to 1.85. There were differences in the predictors of the conditions based on whether respondents lived within or outside high-prevalence clusters. Predictors of both pre-diabetes and diabetes regardless of region or place of residence were obesity/overweight, hypertension, and hypercholesterolemia. Income and physical activity level were significant predictors of diabetes but not pre-diabetes. Arthritis, sex, and marital status were significant predictors of diabetes only among residents of high-prevalence clusters, while educational attainment and smoking were significant predictors of diabetes only among residents of non-cluster counties.

CONCLUSIONS

Geographic disparities of pre-diabetes and diabetes exist in Florida. Information from this study is useful for guiding resource allocation and targeting of intervention programs focusing on identified modifiable predictors of pre-diabetes and diabetes so as to reduce health disparities and improve the health of all Floridians.

Engineered butyrate-producing bacteria prevents high fat diet-induced obesity in mice

Background

Obesity is a major problem worldwide and severely affects public safety. As a metabolite of gut microbiota, endogenous butyric acid participates in energy and material metabolism. Considering the serious side effects and weight regain associated with existing weight loss interventions, novel strategies are urgently needed for prevention and treatment of obesity.

Results

In the present study, we engineered Bacillus subtilis SCK6 to exhibited enhanced butyric acid production. Compared to the original Bacillus subtilis SCK6 strain, the genetically modified BsS-RS06550 strain had higher butyric acid production. The mice were randomly divided into four groups: a normal diet (C) group, a high-fat diet (HFD) group, an HFD + Bacillus subtilis SCK6 (HS) group and an HFD + BsS-RS06550 (HE) group. The results showed BsS-RS06550 decreased the body weight, body weight gain, and food intake of HFD mice. BsS-RS06550 had beneficial effects on blood glucose, insulin resistance and hepatic biochemistry. After the 14-week of experiment, fecal samples were collected for nontargeted liquid chromatography-mass spectrometry analysis to identify and quantify significant changes in metabolites. Sixteen potentially significant metabolites were screened, and BsS-RS06550 was shown to potentially regulate disorders in glutathione, methionine, tyrosine, phenylalanine, and purine metabolism and secondary bile acid biosynthesis.

Conclusions

In this study, we successfully engineered Bacillus subtilis SCK6 to have enhanced butyric acid production. The results of this work revealed that the genetically modified live bacterium BsS-RS06550 showed potential anti-obesity effects, which may have been related to regulating the levels of metabolites associated with obesity. These results indicate that the use of BsS-RS06550 may be a promising strategy to attenuate obesity.

Total per-visit medical expenses incurred by outpatients with diabetes-Evidence from six provinces in eastern China

BACKGROUND

Chronic diseases associated with diabetes threaten the health of Chinese people and contribute to poverty.

METHODS

Medical service utilization records of 78 124 visits by outpatients with diabetes to medical institutions in China's eastern region between 2013 and 2015 were randomly selected from the Medical Insurance Department (MID) database. One-way analysis of variance (ANOVA) was used to compare the average total per-visit, out-of-pocket (OOP), and medical insurance (MI) fund expenses between variables. Multiple linear regression analysis was performed to identify possible risk factors affecting total per-visit medical expenses.

RESULTS

Average total per-visit medical expenses were 244.59, 285.56, and 435.33 yuan in primary, secondary, and tertiary medical institutions, respectively. Significant differences were found for average total per-visit medical expenses by year of visit, age, type of medical insurance, and levels of medical institutions. No significant differences were found for average total per-visit medical expenses by gender.

CONCLUSION

The functions of medical networks at all levels should be clarified and the Urban Resident Basic Medical Insurance (URBMI) reimbursement ratio improved to ensure equal access to medical services irrespective of medical insurance type. Patients with chronic diseases should be encouraged to visit primary medical institutions to reduce medical expenses.

Food Changes and Geography: Dietary Transition in Colombia

Background:

The food transition can no longer be studied in developed countries because the so-called Western diet now predominates in these areas. However, in developing countries, it is still possible to study the food transition. It is a novel concept that complements other transitions such as the demographic, economic, nutritional and epidemiological transitions.

Objectives:

The objectives of this study were to a) estimate the average departmental adherence to the three pre-established food patterns, b) assess adherence patterns based on the Global Spatial Analysis, c) evaluate whether the Local Spatial Variations in the adherence to food patterns are random or follow defined patterns (cluster) and d) generate 2D maps to graphically locate the food patterns that compose the phenomenon of the food transition occurring in Colombia.

Methods:

The National Survey of the Nutritional Situation in Colombia, 2010 was analyzed. Based on factor analysis, three consumption patterns were established; Protein/Fiber, Snack and Snack and Traditional/Starch and the average departmental adhesion was estimated. The global and local spatial variation was calculated with the Moran indexes.

Findings:

the average adherence to the traditional consumption/starch pattern was –0.00 (95% CI: –0.12 to 0.12). The mean adherence to the protein/fiber intake pattern was –0.07 (95% CI: –0.16 to 0.03). The average adherence to the pattern of snack consumption was –0.03 (95% CI: –0.11 to 0.05). The three patterns of food consumption values for the Global Total Moran Index, for men and women were positive and statistically significant.

Conclusions:

The food transition experienced by Colombia is not homogeneous and there are well defined clusters for adherence in the three predefined food patterns. Within the clusters there are differences by sex. In regions where the traditional pattern/starch predominates, the presence of the snack pattern is very weak.

Area-Level Walkability and the Geographic Distribution of High Body Mass in Sydney, Australia: A Spatial Analysis Using the 45 and Up Study

Improving the walkability of built environments to promote healthy lifestyles and reduce high body mass is increasingly considered in regional development plans. Walkability indexes have the potential to inform, benchmark and monitor these plans if they are associated with variation in body mass outcomes at spatial scales used for health and urban planning. We assessed relationships between area-level walkability and prevalence and geographic variation in overweight and obesity using an Australian population-based cohort comprising 92,157 Sydney respondents to the 45 and Up Study baseline survey between January 2006 and April 2009. Individual-level data on overweight and obesity were aggregated to 2006 Australian postal areas and analysed as a function of area-level Sydney Walkability Index quartiles using conditional auto regression spatial models adjusted for demographic, social, economic, health and socioeconomic factors. Both overweight and obesity were highly clustered with higher-than-expected prevalence concentrated in the urban sprawl region of western Sydney, and lower-than-expected prevalence in central and eastern Sydney. In fully adjusted spatial models, prevalence of overweight and obesity was 6% and 11% lower in medium-high versus low, and 10% and 15% lower in high versus low walkability postcodes, respectively. Postal area walkability explained approximately 20% and 9% of the excess spatial variation in overweight and obesity that remained after accounting for other individual- and area-level factors. These findings provide support for the potential of area-level walkability indexes to inform, benchmark and monitor regional plans aimed at targeted approaches to reducing population-levels of high body mass through environmental interventions. Future research should consider potential confounding due to neighbourhood self-selection on area-level walkability relations.

Spatial clustering patterns of child weight status in a southeastern US county

Youth obesity is a major public health concern due to associated physical, social, and psychological health consequences. While rates and disparities of youth obesity levels are known, less research has explored spatial clustering patterns, associated correlates of spatial clustering, comparing patterns in urban and rural areas. Therefore, this study 1) examined spatial clustering of youth weight status, 2) investigated sociodemographic correlates of spatial clustering patterns, and 3) explored spatial patterns by level of urbanization. This study occurred in a southeastern US county (pop:474,266) in 2013. Trained physical education teachers collected height and weight for all 3^rd-5th grade youth (n = 13,469) and schools provided youth demographic attributes. BMI z-scores were calculated using standard procedures. Global Moran's Index and Anselin's Local Moran's I (LISA) were used detect global and local spatial clustering, respectively. To examine correlates of spatial clustering, BMI z-score residuals from a series of four linear regression models were spatially analyzed, mapped, and compared. SAS 9.4 and GeoDA were used for analyses; ArcGIS was used for mapping. Significant, positive global clustering (Index = 0.04,p < 0.001) was detected. LISA results showed that about 4.7% (n = 635) and 7.9% (n = 1058) of the sample were identified as high and low obesity localized spatial clusters (p < 0.01), respectively. Individual and neighborhood sociodemographic characteristics accounted for the majority of spatial clustering and differential patterns were observed by level of urbanization. Identifying geographic areas that contain significant spatial clusters is a powerful tool for understanding the location of and exploring contributing factors to youth obesity.

Diabetes diagnosis and management among insured adults across metropolitan areas in the U.S

This study provides diabetes-related metrics for the 50 largest metropolitan areas in the U.S. in 2012—including prevalence of diagnosed and undiagnosed diabetes, insurance status of the population with diabetes, diabetes medication use, and prevalence of poorly controlled diabetes.

Diabetes prevalence estimates were calculated using cross-sectional data combining the Behavioral Risk Factor Surveillance System, American Community Survey, National Nursing Home Survey, Census population files, and National Health and Nutrition Examination Survey. Analysis of medical claims files (2012 de-identified Normative Health Information database, 2011 Medicare Standard Analytical Files, and 2008 Medicaid Analytic eXtract) produced information on treatment and poorly controlled diabetes by geographic location, insurance type, sex, and age group.

Among insured adults with diagnosed type 2 diabetes in 2012, the proportion receiving diabetes medications ranged from 83% in Oklahoma City, Oklahoma, to 65% in West Palm Beach, Florida. The proportion of treated patients with medical claims indicating poorly controlled diabetes was lowest in Minneapolis, Minnesota (36%) and highest in Texas metropolitan areas of Austin (51%), San Antonio (51%), and Houston (50%).

Estimates of diabetes detection and management across metropolitan areas often differ from state and national estimates. Local metrics of diabetes management can be helpful for tracking improvements in communities over time.

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Key diabetes metrics vary by MSA and differ substantially from the national averages.

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New York City had 1.2 million adults with diabetes; Southern New Jersey had 50,200.

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Undiagnosed diabetes rate ranged from 37% in Los Angeles to 24% in Nashville.

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Among the insured type 2 diabetes patients, medication use ranged from 83% to 65%.

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Patients with medical claims indicating uncontrolled diabetes ranged from 51% and 36%.

Coronary vascular disease event risk and metabolic syndrome prevalence in patients enrolled in an assertive treatment community program

OBJECTIVE

To examine the risk of coronary vascular disease event (CVDE) and the prevalence metabolic syndrome (MS) and its cardiovascular risk factors (CVRF) in patients with severe mental illnesses enrolled in an assertive treatment community program (ATC) in Spain.

METHOD

We carried out a cross-sectional descriptive study with all of the patients included in an ATC program in 2016 in a health area with 547,328 inhabitants in Galicia, Spain. We identified the CVRF in all the individuals, and calculated MS and 10-year CVDE. We also compared the prevalence of all traits in our cohort and the general population.

RESULTS

The 10-year median of coronary vascular disease event (CVDE10) was 8.4%. The percentage of individuals with high CVDE10 (>5%) was 41.2% The CVDE10 median was higher in men than women (10.5% vs 5.1%, p<0.001). MS was detected in 50% of patients without differences between men and women (51.2% vs 48.2%). A prevalence of 68% was found for smoking, 55% for dyslipidemia, 47% for obesity, 29% for impaired glucose metabolism, and 38% for hypertension. Women showed a higher prevalence of obesity measured by elevated waist circumference (88.9% vs 55.6%, p=0.003). Men showed a higher prevalence of arterial hypertension (46.6% vs 22.2%, p=0.0001).

CONCLUSIONS

The SMD Patients enrolled in ATC programs had a 1.5-times higher prevalence of MS and 8 times higher CVDE10 than those reported in the general population. Individual CVRF were also higher in the SMD patients. Prevention, early detection, and comprehensive treatment are important issues for patients with severe mental illnesses.

Variations in Obesity Rates between US Counties: Impacts of Activity Access, Food Environments, and Settlement Patterns

There is much ongoing research about the effect of the urban environment as compared with individual behaviour on growing obesity levels, including food environment, settlement patterns (e.g., sprawl, walkability, commuting patterns), and activity access. This paper considers obesity variations between US counties, and delineates the main dimensions of geographic variation in obesity between counties: by urban-rural status, by region, by area poverty status, and by majority ethnic group. Available measures of activity access, food environment, and settlement patterns are then assessed in terms of how far they can account for geographic variation. A county level regression analysis uses a Bayesian methodology that controls for spatial correlation in unmeasured area risk factors. It is found that environmental measures do play a significant role in explaining geographic contrasts in obesity.

Cancer-related risk factors and incidence of major cancers by race, gender and region; analysis of the NIH-AARP diet and health study

Background

Racial disparities in the incidence of major cancers may be attributed to differences in the prevalence of established, modifiable risk factors such as obesity, smoking, physical activity and diet.

Methods

Data from a prospective cohort of 566,398 adults aged 50–71 years, 19,677 African-American and 450,623 Whites, was analyzed. Baseline data on cancer-related risk factors such as smoking, alcohol, physical activity and dietary patterns were used to create an individual adherence score. Differences in adherence by race, gender and geographic region were assessed using descriptive statistics, and Cox proportional hazards models were used to determine the association between adherence and cancer incidence.

Results

Only 1.5% of study participants were adherent to all five cancer-related risk factor guidelines, with marked race-, gender- and regional differences in adherence overall. Compared with participants who were fully adherent to all five cancer risk factor criteria, those adherent to one or less had a 76% increased risk of any cancer incidence (HR: 1.76, 95% CI: 1.70 – 1.82), 38% increased risk of breast cancer (HR: 1.38, 95% CI: 1.25 – 1.52), and doubled the risk of colorectal cancer (HR: 2.06, 95% CI: 1.84 – 2.29). However, risk of prostate cancer was lower among participants adherent to one or less compared with those who were fully adherent (HR: 0.79, 95% CI: 0.75 – 0.85). The proportion of cancer incident cases attributable to low adherence was higher among African-Americans compared with Whites for all cancers (21% vs. 19%), and highest for colorectal cancer (25%) regardless of race.

Conclusion

Racial differences in the proportion of cancer incidence attributable to low adherence suggests unique opportunities for targeted cancer prevention strategies that may help eliminate racial disparities in cancer burden among older US adults.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-017-3557-1) contains supplementary material, which is available to authorized users.

National weighting of data from the Behavioral Risk Factor Surveillance System (BRFSS)

Background

The Behavioral Risk Factor Surveillance System (BRFSS) is a network of health-related telephone surveys--conducted by all 50 states, the District of Columbia, and participating US territories—that receive technical assistance from CDC. Data users often aggregate BRFSS state samples for national estimates without accounting for state-level sampling, a practice that could introduce bias because the weighted distributions of the state samples do not always adhere to national demographic distributions.

Methods

This article examines six methods of reweighting, which are then compared with key health indicator estimates from the National Health Interview Survey (NHIS) based on 2013 data.

Results

Compared to the usual stacking approach, all of the six new methods reduce the variance of weights and design effect at the national level, and some also reduce the estimated bias. This article also provides a comparison of the methods based on the variances induced by unequal weighting as well as the bias reduction induced by raking at the national level, and recommends a preferred method.

Conclusions

The new method leads to weighted distributions that more accurately reproduce national demographic characteristics. While the empirical results for key estimates were limited to a few health indicators, they also suggest reduction in potential bias and mean squared error. To the extent that survey outcomes are associated with these demographic characteristics, matching the national distributions will reduce bias in estimates of these outcomes at the national level.

Uptake of the centers for medicare and medicaid obesity benefit: 2012-2013

OBJECTIVE

To assess the use of the Medicare Obesity Benefit (MOB) by a licensed physician or associate provider in an outpatient setting in older adults.

METHODS

A serial cross-sectional analysis of fee-for-service Medicare claims (2012 and 2013) was used to assess the use of the MOB. Number and proportion of Medicare beneficiaries over age 65 using the benefit were assessed. Correlation between state-obesity rates and MOB uptake was determined based on state-specific obesity prevalence data from the Behavioral Risk Factor Surveillance System. Results There were 27,338 (0.10%) Medicare beneficiaries over age 65 in 2012 using the MOB and slightly more in 2013 (n = 46,821 [0.17%]). Mean age of MOB users in both years was 73 years, and 62% were females. Use declined with older age and was highest in the Northeast and lowest in the Midwest. High state obesity prevalence was not correlated with higher uptake of the MOB. Estimated proportion of persons with obesity using the MOB was 0.35% and 0.60% in successive years. A mean of 1.99 and 2.16 claims/MOB user was observed.

CONCLUSIONS

While the rate of MOB use increased in the second full year of its implementation, few were availing themselves of this benefit.

Otomycosis: Clinical features and treatment implications

OBJECTIVES: To determine the clinical presentation, predisposing factors, complications, and treatment outcomes of otomycosis.

STUDY DESIGN AND SETTING: Retrospective review of 132 patients with a clinical diagnosis of otomycosis treated from 1998 to 2004 in an academic otology practice.

RESULTS: Otalgia and otorrhea were the most common presenting complaints (48%). Prior otologic procedures increase the risk of developing otomycosis. Residual disease was observed in 13% and recurrence in 15% of the subjects. The presence of a mastoid cavity was associated with higher recurrent and residual disease rates. Topical ketoconazole, cresylate otic drops, and aluminum acetate otic drops were all relatively effective with >80% resolution rate on initial application, although topical ketoconazole had a higher resolution rate and lower rate of disease recurrence.

CONCLUSIONS AND SIGNIFICANCE: Otomycosis can usually be diagnosed by clinical examination and often occurs in the setting of persistent otorrhea. Complications are not uncommon but usually resolve with application of appropriate topical antifungal agents. Eradication of disease is more difficult in the presence of a mastoid cavity.

Cardiovascular mortality associated with 5 leading risk factors: national and state preventable fractions estimated from survey data

BACKGROUND

Impressive decreases in cardiovascular mortality have been achieved through risk factor reduction and clinical intervention, yet cardiovascular disease remains a leading cause of death nationally.

OBJECTIVE

To estimate up-to-date preventable fractions of cardiovascular mortality associated with elimination and reduction of 5 leading risk factors nationally and by state in the United States.

DESIGN

Cross-sectional and cohort studies.

SETTING

Nationally representative and state-representative samples of the U.S. population.

PARTICIPANTS

Adults aged 45 to 79 years.

MEASUREMENTS

Self-reported risk factor status in the BRFSS (Behavioral Risk Factor Surveillance System) 2009-2010 was corrected to approximate clinical definitions. The relative hazards of cardiovascular death (International Classification of Diseases, 10th Revision, codes I00 to I99) associated with risk factors were estimated using data from NHANES (National Health and Nutrition Examination Survey) (1988-1994 and 1999-2004, followed through 2006).

RESULTS

The preventable fraction of cardiovascular mortality associated with complete elimination of elevated cholesterol levels, diabetes, hypertension, obesity, and smoking was 54.0% for men and 49.6% for women in 2009 to 2010. When the more feasible target of reducing risk factors to the best achieved levels in the states was considered, diabetes (1.7% and 4.1%), hypertension (3.8% and 7.3%), and smoking (5.1% and 4.4%) were independently associated with the largest preventable fractions among men and women, respectively. With both targets, southern states had the largest preventable fractions, and western states had the smallest.

LIMITATION

Self-reported state data; mortality hazards relied on baseline risk factor status.

CONCLUSION

Major modifiable cardiovascular risk factors collectively accounted for half of cardiovascular deaths in U.S. adults aged 45 to 79 years in 2009 to 2010. Fewer than 10% of cardiovascular deaths nationally could be prevented if all states were to achieve risk factor levels observed in the best-performing states.

PRIMARY FUNDING SOURCE

Robert Wood Johnson Foundation.

Associations between neighborhood effects and physical activity, obesity, and diabetes: The Jamaica Health and Lifestyle Survey 2008

OBJECTIVE

To examine the impact of neighborhood disorder, perceived neighborhood safety, and availability of recreational facilities on prevalence of physical activity (PA), obesity, and diabetes mellitus (DM).

STUDY DESIGN AND SETTING

Multilevel analyses were conducted among 2,848 respondents from the 2007-08 Jamaica Health and Lifestyle Survey. Neighborhood effects were based on aggregated interviewer responses to systematic social observation questions. Mixed-effect logistic regression models were created to assess the relationship between neighborhood indicators and DM and the modifiable risk factors PA and overweight/obesity.

RESULTS

There was significant clustering in PA levels of 20 minutes at least once per week (intraclass correlation coefficient [ICC] = 10.7%), low/no PA (ICC = 7.22%), diabetes (ICC = 5.44%), and obesity (ICC = 3.33%) across neighborhoods. Greater levels of neighborhood disorder, home disorder, and counterintuitively recreational space availability were associated with higher levels of low/no PA among women. There was significant interaction by sex between neighborhood infrastructure and overweight/obesity with a significant association in men (odds ratio [OR] = 1.16; 95% confidence interval [CI] = 1.05, 1.28) but not women (OR = 1.01; 95% CI = 0.95, 1.07).

CONCLUSION

Differences in PA and obesity-related outcomes among Jamaicans may be partially explained by characteristics of the neighborhood environment and differ by sex. Future studies must be conducted to determine the mechanistic pathways through which the neighborhood environment may impact such outcomes to better inform prevention efforts.

The geography of diabetes by census tract in a large sample of insured adults in King County, Washington, 2005-2006

INTRODUCTION

Identifying areas of high diabetes prevalence can have an impact on public health prevention and intervention programs. Local health practitioners and public health agencies lack small-area data on obesity and diabetes.

METHODS

Clinical data from the Group Health Cooperative health care system were used to estimate diabetes prevalence among 59,767 adults by census tract. Area-based measures of socioeconomic status and the Modified Retail Food Environment Index were obtained at the census-tract level in King County, Washington. Spatial analyses and regression models were used to assess the relationship between census tract-level diabetes and area-based socioeconomic status and food environment variables. The mediating effect of obesity on the geographic distribution of diabetes was also examined.

RESULTS

In this population of insured adults, diabetes was concentrated in south and southeast King County, with smoothed diabetes prevalence ranging from 6.9% to 21.2%. In spatial regression models, home value and college education were more strongly associated with diabetes than was household income. For each 50% increase in median home value, diabetes prevalence was 1.2 percentage points lower. The Modified Retail Food Environment Index was not related to diabetes at the census-tract level. The observed associations between area-based socioeconomic status and diabetes were largely mediated by obesity (home value, 58%; education, 47%).

CONCLUSION

The observed geographic disparities in diabetes among insured adults by census tract point to the importance of area socioeconomic status. Small-area studies can help health professionals design community-based programs for diabetes prevention and control.

Interstate variation in modifiable risk factors and cardiovascular mortality in the United States

Objective

We investigated the role of state-level differences in modifiable cardiovascular (CV) risk factors in contributing to state disparities in cardiovascular mortality rates in the US.

Methods

Adults aged 45–74 in 2010 were examined. We constructed a CV risk index summarizing state-level exposure to current smoking, obesity, physical inactivity, alcohol abstinence, hypertension, elevated cholesterol, and diabetes using the Behavioral Risk Factor Surveillance System. Outcomes were cardiovascular, coronary heart disease, and stroke mortality. Linear regression was used to estimate associations between the CV risk index and mortality outcomes. Models accounted for state-level socioeconomic characteristics and other potential confounders.

Results

Risk factors were highly correlated at the state-level (Cronbach's alpha 0.85 (men) and 0.92 (women). Each +1SD difference in the cardiovascular risk index was associated with higher adjusted cardiovascular mortality rates by 41.0 (95%CI = 26.3, 55.7) and 33.3 (95%CI = 24.4, 42.2) deaths per 100,000 for men and women, respectively. The index accounted for 8% (men) and 11% (women) of the variation in state-level cardiovascular mortality. Comparable associations were also observed for coronary heart disease and stroke mortality.

Conclusions

CV risk factors were highly correlated at the state-level and were independently associated with state CV mortality, suggesting the utility of generalized CV risk reduction.

Social determinants of type 2 diabetes and health in the United States

Diabetes is the sixth leading cause of death in the United States. To date, most research and resulting clinical strategies have focused on the individual with short-term health improvements that have not been maintained over time. Researchers more recently have recognized the need to consider the social determinants of diabetes and health along with individual factors. The purpose of this literature review is to examine current understanding of the social determinants affecting diabetes and health. A search of medical and nursing literature was conducted using PubMed, PsychInfo, CINAHL and MEDLINE databases, selecting articles published between 2000 and 2013. Search terms included: type 2 diabetes, social determinants, and health determinants. Inclusion criteria were: English language, human studies, social determinants of diabetes and health, and research in the United States. Additional search methods included reference chaining of the literature. Twenty research articles met the inclusion criteria for the review and analysis and included quantitative and qualitative methods. All studies selected for this review were descriptive in nature (n = 20). Fifteen studies were quantitative studies and five were qualitative studies. No intervention studies met inclusion criteria. Each study is summarized and critiqued. Study findings indicate that external or upstream factors consistently affect individuals diagnosed with diabetes, influencing self-management. Significant methodological limitations result directly from small sample sizes, convenience or nonprobability sampling, and low statistical power.

Otomycosis; clinical features, predisposing factors and treatment implications

Objectives : The aim of this study was to determine the frequency of otomycosis, the clinical presentation, predisposing factors and treatment outcomes.

METHODS

This observational study was conducted at ENT department of Combined Military Hospital Attock, from October, 2010 to September, 2012. Convenient sample comprising 180 patients of both sexes and all age groups were selected from ENT OPD. The frequency, predisposing factors and most common symptoms of otomycosis were recorded. The response to different antifungal agents was also observed. RESULTS were recorded in percentages.

RESULTS

There were 180 patients with documented diagnosis of otomycosis. There were 107 (59%) males and 73 (41%) females. The age of patients ranged from 1½ years to 75 years with a mean age of 38.5 years. Mean follow up time was 2 years. Most common presenting symptom was hearing loss (77.7%) followed by pruritis (68.8%) and otalgia (40%). We prescribed 1% clotrimazole drops or lotion in 58% patients and 2% salicylic acid in 31% cases. Both of these agents are effective. Topical 1% clotrimazole drops yielded highest resolution rate with lowest recurrent rate. Overall 149 (83%) patients were improved with initial treatment and 31 (17%) did not respond to initial treatment. Eight (4.4%) patients had a history of otological procedures. Four (2.2%) patients had canal wall down procedures that resulted in mastoid cavity. To analyse the efficacy of 1% clotrimazole and 2% salicylic acid we applied Z-Test to calculate the difference between 2 proportions of patients before treatment with those patients who remained uncured after treatment.

CONCLUSION

Otomycosisis commonly presented with decreased hearing, pruritis, otalgia & otorrhoea. It usually resolves with local toilet of ear and instillation of antifungal agents. Eradication of disease is difficult in presence of a mastoid cavity and metabolic diseases like diabetes mellitus.

Drug safety evaluation of naltrexone/bupropion for the treatment of obesity

INTRODUCTION

Obesity is a known health risk for the development of several preventable diseases. Obesity-related metabolic alterations negatively impact different physiological mechanisms, which supports the rationale for the use of combined drug therapy. Naltrexone is an opioid antagonist for the treatment of opioid and alcohol dependency, whereas bupropion is a norepinephrine/dopamine reuptake inhibitor used to treat depression and smoking cessation. Although not effective as individual monotherapies for obesity, naltrexone and bupropion in combination produce weight loss and a metabolic profile beneficial for the potential treatment of obesity.

AREAS COVERED

This review examines the safety and antiobesity effects of naltrexone and bupropion alone and in combination. It reviews the results of four Phase III clinical trials of a novel fixed dose of sustained-released naltrexone/bupropion.

EXPERT OPINION

Naltrexone/bupropion has a greater weight loss efficacy than two FDA-approved medications, orlistat and lorcaserin. Although the weight loss produced by phentermine/topiramate is superior to naltrexone/bupropion, the safety profile of naltrexone/bupropion has less severe adverse effects. In addition, naltrexone/bupropion is well tolerated, with nausea being the most reported adverse event. Unlike other centrally acting medications, lorcaserin and phentermine/topiramate, naltrexone/bupropion has no abuse potential.

Rational use of electronic health records for diabetes population management

Population management is increasingly invoked as an approach to improve the quality and value of diabetes care. Recent emphasis is driven by increased focus on both costs and measures of care as the US moves from fee for service to payment models in which providers are responsible for costs incurred, and outcomes achieved, for their entire patient population. The capacity of electronic health records (EHRs) to create patient registries, apply analytic tools, and facilitate provider- and patient-level interventions has allowed rapid evolution in the scope of population management initiatives. However, findings on the efficacy of these efforts for diabetes are mixed, and work remains to achieve the full potential of an-EHR based population approach. Here we seek to clarify definitions and key domains, provide an overview of evidence for EHR-based diabetes population management, and recommend future directions for applying the considerable power of EHRs to diabetes care and prevention.

Obesity-associated nonalcoholic fatty liver disease

Obesity is strongly associated with the prevalence of nonalcoholic fatty liver disease (NAFLD) in adult and pediatric populations. Nutrition, physical activity, and behavioral modifications are critical components of the treatment regimen for all obese patients with NAFLD. Bariatric surgeries that affect or restrict the flow of food through the gastrointestinal tract may improve liver histology in morbidly obese patients with nonalcoholic steatohepatitis (NASH), although randomized clinical trials and quasi-randomized clinical studies are lacking. Early detection of NASH and hepatic fibrosis using noninvasive biochemical and imaging markers that may replace liver biopsy is the current challenge.

Racial/ethnic differences in clinical and biochemical type 2 diabetes mellitus risk factors in children

OBJECTIVE

To examine whether periadolescent children demonstrate the significant racial/ethnic differences in body fatness relative to BMI and in the prevalence and relationship of body composition to risk factors for type 2 diabetes (T2DM) as in adults.

DESIGN AND METHODS

Family history of obesity and T2DM, anthropometry, insulin sensitivity and secretory capacity, lipids, and cytokines (IL-6, CRP, TNF-α, and adiponectin) were examined in a cohort of 994 middle school students (47% male, 53%, female; 12% African American, 14% East Asian, 13% South Asian, 9% Caucasian, 44% Hispanic, and 8% other).

RESULTS

Fractional body fat content was significantly greater at any BMI among South Asians. There were racial/ethnic specific differences in lipid profiles, insulin secretory capacity, insulin sensitivity, and inflammatory markers corrected for body fatness that are similar to those seen in adults. Family history of T2DM was associated with lower insulin secretory capacity while family history of obesity was more associated with insulin resistance.

CONCLUSIONS

Children show some of the same racial/ethnic differences in risk factors for adiposity-related comorbidities as adults. BMI and waist circumference cutoffs to identify children at-risk for adiposity-related comorbidities should be adjusted by racial/ethnic group as well as other variables such as birthweight and family history.

Prevalence of hypertension and obesity in patients with type 2 diabetes mellitus in observational studies: a systematic literature review

BACKGROUND

Hypertension and obesity are known to contribute, directly or indirectly, to the development of long-term complications of type 2 diabetes mellitus (T2DM). Knowing the prevalence of these comorbidities is important for determining the size of the population that may benefit from strategies that reduce blood pressure and weight while controlling blood glucose.

METHODS

In this systematic literature review, electronic searches of PubMed, Embase, and the Cochrane Library were conducted to identify observational studies of hypertension and/or obesity prevalence in patients with T2DM throughout the world. The searches were limited to studies reported in English from January 1, 2001 to February 16, 2012.

RESULTS

From a total of 2,688 studies, 92 observational studies provided prevalence rates for hypertension and/or obesity specifically in adults with T2DM. Fifteen studies of specific subtypes of hypertension or subpopulations with T2DM were subsequently excluded, leaving 78 studies (in 77 articles) for inclusion in this article. Of these, 61studies reported hypertension prevalence, 44 reported obesity prevalence, and 12 reported the prevalence of hypertension with obesity. Most studies had a low risk of bias regarding diagnosis of T2DM (70/78), hypertension (59/69), or obesity (45/47). The continental regions with the most observational studies of hypertension or obesity prevalence were Europe (n = 30) and Asia (n = 26). Hypertension rates typically were high in all regions; most studies presented rates above 50%, and many presented rates above 75%. Obesity rates exceeded 30% in 38 of 44 studies and 50% in 14 of 44 studies, especially those assessing central obesity (based on waist circumference). Among obese adults, hypertension rates were at or above 70% in Asia and above 80% in Europe; rates were lower in North and South America but still above 30%.

CONCLUSION

Around the world, hypertension and obesity, separately or together, are common comorbidities in adults with T2DM.

The geographic distribution of obesity by census tract among 59 767 insured adults in King County, WA

OBJECTIVE

To evaluate the geographic concentration of adult obesity prevalence by census tract (CT) in King County, WA, in relation to social and economic factors.

METHODS AND DESIGN

Measured heights and weights from 59 767 adult men and women enrolled in the Group Health (GH) healthcare system were used to estimate obesity prevalence at the CT level. CT-level measures of socioeconomic status (SES) were median home values of owner-occupied housing units, percent of residents with a college degree and median household incomes, all drawn from the 2000 Census. Spatial regression models were used to assess the relation between CT-level obesity prevalence and socioeconomic variables.

RESULTS

Smoothed CT obesity prevalence, obtained using an Empirical Bayes tool, ranged from 16.2-43.7% (a 2.7-fold difference). The spatial pattern of obesity was non-random, showing a concentration in south and southeast King County. In spatial regression models, CT-level home values and college education were more strongly associated with obesity than household incomes. For each additional $100 000 in median home values, CT obesity prevalence was 2.3% lower. The three SES factors together explained 70% of the variance in CT obesity prevalence after accounting for population density, race/ethnicity, age and spatial dependence.

CONCLUSIONS

To our knowledge, this is the first report to show major social disparities in adult obesity prevalence at the CT scale that is based, moreover, on measured heights and weights. Analyses of data at sufficiently fine geographic scale are needed to guide targeted local interventions to stem the obesity epidemic.

Using spatial analysis to predict health care use at the local level: a case study of type 2 diabetes medication use and its association with demographic change and socioeconomic status

Local health status and health care use may be negatively influenced by low local socio-economic profile, population decline and population ageing. To support the need for targeted local health care, we explored spatial patterns of type 2 diabetes mellitus (T2DM) drug use at local level and determined its association with local demographic, socio-economic and access to care variables. We assessed spatial variability in these associations. We estimated the five-year prevalence of T2DM drug use (2005-2009) in persons aged 45 years and older at four-digit postal code level using the University of Groningen pharmacy database IADB.nl. Statistics Netherlands supplied data on potential predictor variables. We assessed spatial clustering, correlations and estimated a multiple linear regression model and a geographically weighted regression (GWR) model. Prevalence of T2DM medicine use ranged from 2.0% to 25.4%. The regression model included the extent of population ageing, proportion of social welfare/benefits, proportion of low incomes and proportion of pensioners, all significant positive predictors of local T2DM drug use. The GWR model demonstrated considerable spatial variability in the association between T2DM drug use and above predictors and was more accurate. The findings demonstrate the added value of spatial analysis in predicting health care use at local level.

The prevalence and determinants of overweight and obesity among French youths and adults with intellectual disabilities attending special education schools

This study examines the prevalence of overweight and obesity and a panel of potential determinants among French youths and adults with an intellectual disability (ID). The sample used consisted of 1120 youths and adults with an ID, from 5 to 28 years old, attending a French special education school. The results indicated that 19.8% of the participants with an ID are classified as overweight and 8.6% as obese. Multivariate logistic regression analyses revealed that there are nearly three times more girls/women classified as overweight than boys/men. Additionally, they showed that there are nearly two times more participants from southern France classified as overweight than from northern France, and that the risk of being classified as overweight significantly increases with seniority in the school. Next, the interaction effects observed indicated first that there are nearly two times more boys/men on psychotropic medication classified as overweight than boys/men not on psychotropic medication. Second, they revealed that the odds of being classified as overweight for boys/men not on psychotropic medication are 47% lower than for girls/women not on psychotropic medication. Third, they indicated that there are nearly two times more boys/men from southern France classified as obese than boys/men from northern France. Fourth, they showed that the odds of being classified as obese for boys/men from northern France are 52% lower than for girls/women from northern France. In conclusion, these results should be viewed as preliminary and need to be replicated since, to our knowledge, this study is the first one to examine this topic while simultaneously controlling for all of the potential determinants and relying on a sample of youths and adults.

Determinants and spatial patterns of adult overweight and hypertension in a high HIV prevalence rural South African population

We conducted a large population-based survey among adults measuring weight, height, and blood pressure nested within an HIV survey in rural KwaZulu-Natal, South Africa, to identify and characterize clusters of overweight and hypertension in a typical rural African population and to explore whether geographic clusters can be accounted for by established individual-level risk factors. 58.4% of the participants were overweight and 22.6% were hypertensive. One cluster of high prevalence of overweight (RR=1.50, p<0.001) was identified using Kulldorff spatial scan statistic as the most likely cluster, whereas a low-risk cluster was identified in the nearby high-density settlement area (RR=0.62, p<0.05). No geographic clusters of hypertension were identified. After controlling for age, sex, educational attainment, household wealth, marital status, place of residence, and HIV status, no spatial clustering of overweight remained. The results provided clear evidence for the localized clustering of overweight. Identification of clustering of chronic disease could provide additional insights into the prevention and control for the rural South African population.

Regional variations in early and late survival after out-of-hospital cardiac arrest

BACKGROUND

While prior studies highlight regional variations in out-of-hospital cardiac arrest (OHCA) survival, the underlying reasons remain unknown. We sought to characterize regional variations early and later survival to hospital discharge after OHCA.

METHODS

We studied adult, non-traumatic OHCA treated by 10 regional sites of the Resuscitation Outcomes Consortium (ROC) during 12/01/2005-6/30/2007. We compared (1) early survival (up to one calendar day after arrest) and (2) later conditional survival to hospital discharge (early survivors progressing to eventual hospital discharge) between ROC regional sites.

RESULTS

Among 3763 VF/VT with complete covariates, site unadjusted early survival varied from 11.3 to 54.3%, and site unadjusted later survival varied from 33.3 to 70.5%. Compared with the largest site, adjusted VF/VT survival varied across sites: early survival OR 0.33 (95% CI: 0.17, 0.65) to 2.87 (2.20, 3.73), overall site variation p<0.001; later survival OR 0.29 (0.14, 0.59) to 1.21 (0.73, 2.00), p<0.001. Among 10,879 non-VF/VT with complete covariates, site unadjusted early survival varied from 6.6 to 14.3%, and site unadjusted later survival varied from 4.5 to 39.6%. Compared with the largest site, adjusted non-VF/VT survival varied across sites: early survival OR 1.02 (0.63, 1.64) to 2.43 (1.91, 3.12), p<0.001; later survival OR 0.11 (0.01, 0.82) to 1.56 (0.90, 2.70), p=0.02.

CONCLUSIONS

In this prospective multicenter North American series, there were regional disparities in early and later survival after OHCA, suggesting that there are underlying regional differences in out-of-hospital and post-arrest care beyond traditional Utstein predictors. Community efforts to improve OHCA survival must address both out-of-hospital and in-hospital care.

Regional differences in the prevalence of known Type 2 diabetes mellitus in 45-74 years old individuals: results from six population-based studies in Germany (DIAB-CORE Consortium)

AIM

In Germany, regional data on the prevalence of Type 2 diabetes mellitus are lacking for health-care planning and detection of risk factors associated with this disease. We analysed regional variations in the prevalence of Type 2 diabetes and treatment with antidiabetic agents.

METHODS

Data of subjects aged 45-74 years from five regional population-based studies and one nationwide study conducted between 1997 and 2006 were analysed. Information on self-reported diabetes, treatment, and diagnosis of diabetes were compared. Type 2 diabetes prevalence estimates (95% confidence interval) from regional studies were directly standardized to the German population (31 December 2007).

RESULTS

Of the 11,688 participants of the regional studies, 1008 had known Type 2 diabetes, corresponding to a prevalence of 8.6% (8.1-9.1%). For the nationwide study, a prevalence of 8.2% (7.3-9.2%) was estimated. Prevalence was higher in men (9.7%; 8.9-10.4%) than in women (7.6%; 6.9-8.3%). The regional standardized prevalence was highest in the east with 12.0% (10.3-13.7%) and lowest in the south with 5.8% (4.9-6.7%). Among persons with Type 2 diabetes, treatment with oral antidiabetic agents was more frequently reported in the south (56.9%) and less in the northeast (46.0%), whereas treatment with insulin alone was more frequently reported in the northeast (21.6%) than in the south (16.4%).

CONCLUSION

The prevalence of known Type 2 diabetes showed a southwest-to-northeast gradient within Germany, which is in accord with regional differences in the distribution of risk factors for Type 2 diabetes. Furthermore, the treatment with antidiabetic agents showed regional differences.

Should diabetic women with breast cancer have their own intervention studies?

This commentary on 'Calorie restriction and rapamycin inhibit MMTV-Wnt-1 mammary tumor growth in a mouse model of postmenopausal obesity' by Nogueira et al., published in this issue of Endocrine-Related Cancer, addresses the challenges of translating diet, exercise, and pharmacologic trials in diabetic mouse mammary tumor models to human studies. We propose that trials specifically designed to test such interventions in diabetic women with breast cancer would be valuable and informative.

Prices of unhealthy foods, Food Stamp Program participation, and body weight status among U.S. low-income women

This paper examines the interactive effect between the price of unhealthy foods and Food Stamp Program participation on body weight status among low-income women in the United States. We merged the panel data of the National Longitudinal Survey of Youth 1979 cohort in 1985-2002 and the Cost of Living Index data compiled by the American Chamber of Commerce Researchers Association by using geographic identifiers. Using the merged data, we used panel econometric models to examine the impact of unhealthy food prices on the food stamp-eligible U.S. population. Our results indicate that higher prices for unhealthy food can partially offset the positive association between Food Stamp Program participation and bodyweight among low-income women.

Leptin increases prostate cancer aggressiveness

Recent studies indicate that adipose tissue and adipocytokines might affect the development of prostate cancer (PCa). Leptin would have a stimulating effect on prostate cancer cells by inducing promotion and progression, whereas adiponectin would have a protective effect. The aim of this study was to determine the relation between body composition, leptin, and adiponectin levels with the prevalence and aggressiveness of PCa in men of Mendoza, Argentina. Seventy volunteers between 50 and 80 years (35 healthy men as control group and 35 with PCa) were selected. The PCa group was subclassified according to the Gleason Score (GS). Digital rectal examination, transrectal ultrasound, and prostatic biopsy were performed; PSA, testosterone, leptin, and adiponectin levels were determined; and a nutritional interview including anthropometric measurements and a food frequency questionnaire was carried out. Statistical analysis was performed by Student t test, ANOVA I, and Bonferroni (p < 0.05). Body mass index and percentage of body fat mass were not statistically different between PCa and control groups. However, body fat mass was higher in subjects with more aggressive tumors (p = 0.032). No differences were observed regarding leptin levels between the groups. Nevertheless, leptin levels were higher in subjects with high GS (p < 0.001). Adiponectin levels showed no statistical differences regarding the presence and aggressiveness of the tumor (p = 0.131). Finally, consumption and nutrient intake did not differ in the studied groups. In conclusion, body composition and leptin are related to the PCa aggressiveness but not with its prevalence.

A systematic review of environmental factors and obesogenic dietary intakes among adults: are we getting closer to understanding obesogenic environments?

This study examined whether physical, social, cultural and economical environmental factors are associated with obesogenic dietary behaviours and overweight/obesity among adults. Literature searches of databases (i.e. PubMed, CSA Illumina, Web of Science, PsychInfo) identified studies examining environmental factors and the consumption of energy, fat, fibre, fruit, vegetables, sugar-sweetened drinks, meal patterns and weight status. Twenty-eight studies were in-scope, the majority (n= 16) were conducted in the USA. Weight status was consistently associated with the food environment; greater accessibility to supermarkets or less access to takeaway outlets were associated with a lower BMI or prevalence of overweight/obesity. However, obesogenic dietary behaviours did not mirror these associations; mixed associations were found between the environment and obesogenic dietary behaviours. Living in a socioeconomically-deprived area was the only environmental factor consistently associated with a number of obesogenic dietary behaviours. Associations between the environment and weight status are more consistent than that seen between the environment and dietary behaviours. The environment may play an important role in the development of overweight/obesity, however the dietary mechanisms that contribute to this remain unclear and the physical activity environment may also play an important role in weight gain, overweight and obesity.

Phentermine and topiramate for the management of obesity: a review

Obesity is now a major public health concern worldwide with increasing prevalence and a growing list of comorbidities and complications. The morbidity, mortality and reduced productivity associated with obesity and its complications result in a major burden to health care costs. Obesity is a complex chronic medical syndrome often with multiple different etiologic factors in individual patients. The long term successful management of obesity remains particularly challenging and invariably requires a multifaceted approach including lifestyle and behavioral modification, increased physical activity, and adjunctive pharmacotherapy. Bariatric surgery remains a last resort though at present it has the best results for achieving sustained robust weight loss. Obesity pharmacotherapy has been very limited in its role for long term obesity management because of the past history of several failed agents as well as the fact that presently available agents are few, and generally utilized as monotherapy. The recent FDA approval of the fixed drug combination of phentermine and extended release topiramate (topiramate-ER) (trade name Qsymia™) marks the first FDA approved combination pharmacotherapeutic agent for obesity since the Phen-Fen combination of the 1990s. This review details the history and clinical trial basis for the use of both phentermine and topiramate in obesity therapeutics as well as the results of clinical trials of their combination for obesity treatment in humans. The initial clinical approval trials offer evidence that this fixed drug combination offers synergistic potential for effective, robust and sustained weight loss with mean weight loss of at least 10% of baseline achieved and sustained for up to 2 years in over 50% of subjects treated. It is anticipated that this agent will be the first in a new trend of multi-agent combination therapy for the chronic adjunctive management of obesity.

The use of serotonergic drugs to treat obesity--is there any hope?

Surgical interventional strategies for the treatment of obesity are being implemented at an increasing rate. The safety and feasibility of these procedures are questionable for most overweight or obese individuals. The use of long-term pharmacotherapy options, on the other hand, can target a greater portion of the obese population and provide early intervention to help individuals maintain a healthy lifestyle to promote weight loss. Medications that act on the central serotonergic pathways have been a relative mainstay for the treatment of obesity for the last 35 years. The clinical efficacy of these drugs, however, has been encumbered by the potential for drug-associated complications. Two drugs that act, albeit by different mechanisms, on the central serotonergic system to reduce food intake and decrease body weight are sibutramine and lorcaserin. Sibutramine is a serotonin and norepinephrine reuptake inhibitor, whereas lorcaserin is a selective 5HT_2C receptor agonist. The recent worldwide withdrawal of sibutramine and FDA rejection of lorcaserin has changed the landscape not only for serotonin-based therapeutics specifically, but for obesity pharmacotherapy in general. The purpose of this review is to focus on the importance of the serotonergic system in the control of feeding and its potential as a target for obesity pharmacotherapy. Advances in refining and screening more selective receptor agonists and a better understanding of the potential off-target effects of serotonergic drugs are needed to produce beneficial pharmacotherapy.

Prevalence of treated diabetes: Geographical variations at the small-area level and their association with area-level characteristics. A multilevel analysis in Southeastern France

AIM

This study estimated geographical variations in the prevalence of treated diabetes (TD) at the small-area level in Southeastern France to determine whether or not the characteristics of these areas (in particular, socioeconomic status or "SES") are associated with TD independent of person-level factors.

METHODS

The study used drug reimbursement data for 2008 from the General Health Insurance Scheme in Southeastern France for beneficiaries aged 18 years or over. TD patients were defined as those to whom oral antidiabetic drugs or insulin had been dispensed at least three times within the year. Area (canton) characteristics associated with the prevalence of TD were studied using multilevel Poisson regression.

RESULTS

In 2008, the crude prevalence of TD in adults in Southeastern France was 5.14%. In addition, TD prevalence was significantly higher in the more deprived and population-dense cantons independent of person-level factors (age, gender, low SES).

CONCLUSION

This study found a positive association between area deprivation and TD, and adds further evidence to the scanty data so far available on this topic. This finding should contribute to pinpointing priority action areas for programmes of diabetes prevention. However, more research is needed to further elucidate the mechanism(s) linking area deprivation and diabetes.

Correlating pharmaceutical data with a national health survey as a proxy for estimating rural population health

BACKGROUND

Chronic disease accounts for nearly three-quarters of US deaths, yet prevalence rates are not consistently reported at the state level and are not available at the sub-state level. This makes it difficult to assess trends in prevalence and impossible to measure sub-state differences. Such county-level differences could inform and direct the delivery of health services to those with the greatest need.

METHODS

We used a database of prescription drugs filled in the US as a proxy for nationwide, county-level prevalence of three top causes of death: heart disease, stroke, and diabetes. We tested whether prescription data are statistically valid proxy measures for prevalence, using the correlation between prescriptions filled at the state level and comparable Behavioral Risk Factor Surveillance System (BRFSS) data. We further tested for statistically significant national geographic patterns.

RESULTS

Fourteen correlations were tested for years in which the BRFSS questions were asked (1999-2003), and all were statistically significant. The correlations at the state level ranged from a low of 0.41 (stroke, 1999) to a high of 0.73 (heart disease, 2003). We also mapped self-reported chronic illnesses along with prescription rates associated with those illnesses.

CONCLUSIONS

County prescription drug rates were shown to be valid measures of sub-state estimates of diagnosed prevalence and could be used to target health resources to counties in need. This methodology could be particularly helpful to rural areas whose prevalence rates cannot be estimated using national surveys. While there are no spatial statistically significant patterns nationally, there are significant variations within states that suggest unmet health needs.

Obesity-related quality-adjusted life years lost in the U.S. from 1993 to 2008

BACKGROUND

Although trends in the prevalence of obesity and obesity-attributable deaths have been examined, little is known about the resultant burden of disease associated with obesity.

PURPOSE

This study examined trends in the burden of obesity by estimating the obesity-related quality-adjusted life years (QALYs) lost-defined as the sum of QALYs lost due to morbidity and future QALYs lost in expected life years due to premature deaths-among U.S. adults along with differences by gender, race/ethnicity, and state.

METHODS

Health-related quality-of-life data were taken from the 1993-2008 Behavioral Risk Factor Surveillance System to calculate QALYs lost due to morbidity. Age-specific mortality data were used to calculate QALYs lost due to mortality.

RESULTS

QALYs lost due to obesity in U.S. adults have more than doubled from 1993 to 2008. Black women had the most QALYs lost due to obesity, at 0.0676 per person in 2008. This number was 31% higher than the QALYs lost in black men and about 50% higher than the QALYs lost in white women and white men. A strong and positive relationship between obesity-related QALYs lost and the percentage of the population reporting no leisure-time physical activity at the state level (r=0.71) also was found.

CONCLUSIONS

This analysis enables the overall impact of obesity on both morbidity and mortality to be examined using a single value. The overall health burden of obesity has increased since 1993 and such increases were observed in all gender-by-race subgroups and in all 50 states and the District of Columbia.

Spatial patterns of obesity and associated risk factors in the conterminous U.S

BACKGROUND

The obesogenic environment is hypothesized to increase obesity risk by discouraging physical activity and limiting the availability of healthy food.

PURPOSE

This research reports the prevalence of obesity and risk factors (physical activity and fruit and vegetable consumption) by creating spatially smoothed maps and analyzing local autocorrelation and aims to examine associations of obesity and risk factors at the national level.

METHODS

Data were obtained in 2008 from the Behavioral Risk Factor Surveillance System for the years 2000-2006 aggregated to the county level. A weighted head-banging smoothing algorithm was used that effectively replaced the proportion of obesity and risk factors for each county with a weighted median that incorporates data from neighboring counties. Significant spatial clusters of obesity and risk factors were identified by a local Moran's I analysis. All analyses were performed in 2008-2009.

RESULTS

A higher prevalence of obesity was generally found in the non-metro counties of the South, whereas lower prevalence was found in the West and the Northeast. A lower prevalence of leisure-time physical activity was generally found in the areas where obesity prevalence was higher and vice versa. A lower prevalence of fruit and vegetable consumption was found mainly in the non-metro counties of the South and the Great Plains.

CONCLUSIONS

The national patterns of obesity and associated risk factors obtained may reflect a unique set of meso-environmental drivers, including climate, land use, population density, and culture. Future research should address this regional variability and explicitly consider the spatial scales at which such environmental factors operate.

Evolution of cardiovascular risk factors among 18-year-old males in Austria between 1986 and 2005

OBJECTIVE

The aims of the study were to determine time trends in cardiovascular risk factors among young Austrian males between 1986 and 2005 and to examine socioeconomic and geographic differences.

METHODS

Data on Austrian conscripts were derived from the nationwide compulsory medical investigations held at military induction at 18 years of age. Four cohorts (1986-1990: n = 252,799; 1991-1995: n = 209,266; 1996-2000: n = 208,427; 2001-2005: n = 209,168) were examined with respect to their place of residence and level of education. Height, weight, waist circumference, blood pressure, serum total-cholesterol and triglycerides were measured. Mean body mass index (BMI) was calculated: overweight was defined as BMI between 25 and <30 and obesity as BMI >or= 30. The Chi-squared test and ANOVA were used to test group differences.

RESULTS

During the 20-year observation period the prevalence of overweight increased from 13.3% to 15.7% (p < 0.001) and that of obesity from 2.6% to 5.4% (p < 0.001); in accordance, mean BMI and waist circumference increased significantly. Blood pressure and serum total-cholesterol level decreased (p < 0.001) during the period studied, although triglyceride levels (p < 0.001) increased. A significant east-west gradient was identified for the prevalence of overweight and obesity, waist circumference and mean BMI, with lower values in the urban population compared with those of rural inhabitants. Mean BMI and the prevalence of overweight and obesity were higher in conscripts belonging to lower socioeconomic strata.

CONCLUSION

Our study demonstrates a clear increase of mean BMI, waist circumference and the prevalence of overweight and obesity in Austrian male adolescents during the past 20 years. Conscripts from rural regions and with lower levels of education showed the highest values. The investigation of conscript health appears to be a useful tool for risk surveillance in the male population.

Bean amylase inhibitor and other carbohydrate absorption blockers: effects on diabesity and general health

Many believe that excessive intake of refined carbohydrates (CHO) plays a major role in the development of obesity/overweight, type 2 diabetes mellitus and insulin resistance, a collection of events commonly referred to as "diabesity," and have sought natural means to overcome these linked perturbations. As a first approach, planned diets with low portions of refined CHO have become popular. However, these diets do not satisfy everyone; and many are concerned over replacing CHO with more fats. As a second option, addition of soluble fiber to the diet can slow absorption of refined CHO, i.e., lower the glycemic index of foods and overcome or at least ameliorate many of the adverse reactions resulting from increased refined CHO ingestion. Unfortunately, the general public does not favor diets high in fiber content, and various fibers can lead to gastrointestinal problems such as gas and diarrhea. A third choice to favorably influence CHO absorption is to use natural dietary supplements that block or slow CHO absorption in the gastrointestinal tract via inhibiting enzymes necessary for CHO absorption -amylase and alpha-glucosidases. Although a number of natural supplements with anti-amylase activity have been recognized, the most studied and favored one is white kidney bean extract. Animal and human studies clearly show that this agent works in vivo and has clinical utility. This paper reviews many aspects of diabesity and the use of "carb blockers" to prevent and ameliorate the situation. In many respects, carb blockers mimic the beneficial effects of fibers.

Weight management advice: what do doctors recommend to their patients?

OBJECTIVE

To examine the weight management interventions that a broad population of adults reported receiving from physicians and assess what drug-related and behavioral information physicians provided when they prescribe weight loss medications.

METHODS

A random-digit dialed telephone survey was conducted in 2005-2006 with a representative sample of 3,500 American adults.

RESULTS

The most frequently reported interventions were having a doctor tell them about the health problems associated with being overweight (48.0%), or suggesting diet and exercise (46.5%). Few respondents reported having been referred to a formal diet program (5.2%), prescribed a weight loss medication (4.0%), recommended a non-prescription weight loss product (1.8%), or recommended stomach bypass surgery (1.5%). The proportion of individuals who reported each intervention increased across levels of body mass index (p<0.001). Of those who reported being prescribed a weight loss medication (n=155), only 29.5% (n=44) reported receiving all six counseling interventions that were assessed.

CONCLUSIONS

Many overweight patients have not been advised to lose weight, diet, or exercise, and physicians have been particularly reluctant to recommend medications. When physicians do prescribe medications, appropriate counseling too often fails to accompany the prescription. Efforts are needed to increase the involvement of physicians in guiding patients to effective weight management approaches.