Last data update: Apr 22, 2024. (Total: 46599 publications since 2009)
Records 1-30 (of 34 Records) |
Query Trace: Siegel KR [original query] |
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Trends in health behaviors of US adults with and without diabetes: 2007-2018
Shah MK , Gandrakota N , McKeever Bullard K , Siegel KR , Ali MK . Diabetes Res Clin Pract 2023 206 110990 AIMS: Understanding health behaviors of people with diabetes can inform strategies to reduce diabetes-related burdens. METHODS: We used serial cross-sectional National Health and Nutrition Examination Surveys over 2007-2018 to characterize self-reported health behaviors among non-pregnant adults, with and without self-reported diabetes. We estimated weighted proportions meeting recommended health behaviors overall and by sociodemographic and glycemic levels. RESULTS: During 2007-2010, proportions of adults with diabetes meeting recommendations were: 61.9% for added sugar consumption (<10% of total calories), 17.2% for physical activity, 68.2% for weight management, 14.4% avoided alcohol, 57.5% avoided tobacco, 34.1% got adequate sleep, and 97.5% saw a healthcare provider (compared with 19.2%, 33.6%, 68.8%, 8.5%, 44.2%, 33.0% , and 82.6% respectively, among those without diabetes). During 2015-2018, adjusted analyses showed more adults with diabetes met sleep (+16.7 percentage-points[pp]; 95% CI: 10.6,22.8) and physical activity goals (+8.3pp; 95% CI: 3.8,12.8), and fewer met added sugar recommendations (-8.8pp; 95% CI -14.7, -2.9). Meeting added sugar, physical activity, and weight management varied by age, education, and glycemic level, but not race and ethnicity. CONCLUSIONS: During 2007-2018, there was some improvement in health behaviors. Improving self-management may require targeted interventions for different segments, like age groups or glycemic levels, among those with diabetes. |
Food insecurity, diet quality, and suboptimal diabetes management among US adults with diabetes
Casagrande SS , Bullard KM , Siegel KR , Lawrence JM . BMJ Open Diabetes Res Care 2022 10 (5) INTRODUCTION: A healthy diet is recommended to support diabetes management, including HbA1c, blood pressure, and cholesterol (ABC) control, but food insecurity is a barrier to consuming a healthy diet. We determined the prevalence of food insecurity and diet quality among US adults with diabetes and the associations with ABC management. RESEARCH DESIGN AND METHODS: Cross-sectional analyses were conducted among 2075 adults ≥20 years with diagnosed diabetes who participated in the 2013-2018 National Health and Nutrition Examination Surveys. Food insecurity was assessed using a standard questionnaire and diet quality was assessed using quartiles of the 2015 Healthy Eating Index. Adjusted ORs (aOR, 95% CI) were calculated from logistic regression models to determine the association between household food insecurity/diet quality and the ABCs while controlling for sociodemographic characteristics, healthcare utilization, smoking, medication for diabetes, blood pressure, or cholesterol, and body mass index. RESULTS: Overall, 17.6% of adults had food insecurity/low diet quality; 14.2% had food insecurity/high diet quality; 33.1% had food security/low diet quality; and 35.2% had food security/high diet quality. Compared with adults with food security/high diet quality, those with food insecurity/low diet quality were significantly more likely to have HbA1c ≥7.0% (aOR=1.85, 95% CI 1.23 to 2.80) and HbA1c ≥8.0% (aOR=1.79, 95% CI 1.04 to 3.08); food insecurity/high diet quality was significantly associated with elevated HbA1c; and food security/low diet quality with elevated A1c. CONCLUSIONS: Food insecurity, regardless of diet quality, was significantly associated with elevated A1c. For people with food insecurity, providing resources to reduce food insecurity could strengthen the overall approach to optimal diabetes management. |
Associations of four indexes of social determinants of health and two community typologies with new onset type 2 diabetes across a diverse geography in Pennsylvania
Schwartz BS , Kolak M , Pollak JS , Poulsen MN , Bandeen-Roche K , Moon KA , DeWalle J , Siegel KR , Mercado CI , Imperatore G , Hirsch AG . PLoS One 2022 17 (9) e0274758 Evaluation of geographic disparities in type 2 diabetes (T2D) onset requires multidimensional approaches at a relevant spatial scale to characterize community types and features that could influence this health outcome. Using Geisinger electronic health records (2008-2016), we conducted a nested case-control study of new onset T2D in a 37-county area of Pennsylvania. The study included 15,888 incident T2D cases and 79,435 controls without diabetes, frequency-matched 1:5 on age, sex, and year of diagnosis or encounter. We characterized patients' residential census tracts by four dimensions of social determinants of health (SDOH) and into a 7-category SDOH census tract typology previously generated for the entire United States by dimension reduction techniques. Finally, because the SDOH census tract typology classified 83% of the study region's census tracts into two heterogeneous categories, termed rural affordable-like and suburban affluent-like, to further delineate geographies relevant to T2D, we subdivided these two typology categories by administrative community types (U.S. Census Bureau minor civil divisions of township, borough, city). We used generalized estimating equations to examine associations of 1) four SDOH indexes, 2) SDOH census tract typology, and 3) modified typology, with odds of new onset T2D, controlling for individual-level confounding variables. Two SDOH dimensions, higher socioeconomic advantage and higher mobility (tracts with fewer seniors and disabled adults) were independently associated with lower odds of T2D. Compared to rural affordable-like as the reference group, residence in tracts categorized as extreme poverty (odds ratio [95% confidence interval] = 1.11 [1.02, 1.21]) or multilingual working (1.07 [1.03, 1.23]) were associated with higher odds of new onset T2D. Suburban affluent-like was associated with lower odds of T2D (0.92 [0.87, 0.97]). With the modified typology, the strongest association (1.37 [1.15, 1.63]) was observed in cities in the suburban affluent-like category (vs. rural affordable-like-township), followed by cities in the rural affordable-like category (1.20 [1.05, 1.36]). We conclude that in evaluating geographic disparities in T2D onset, it is beneficial to conduct simultaneous evaluation of SDOH in multiple dimensions. Associations with the modified typology showed the importance of incorporating governmentally, behaviorally, and experientially relevant community definitions when evaluating geographic health disparities. |
Urban and rural differences in new onset type 2 diabetes: Comparisons across national and regional samples in the diabetes LEAD network
McAlexander TP , Malla G , Uddin J , Lee DC , Schwartz BS , Rolka DB , Siegel KR , Kanchi R , Pollak J , Andes L , Carson AP , Thorpe LE , McClure LA . SSM Popul Health 2022 19 101161 INTRODUCTION: Geographic disparities in diabetes burden exist throughout the United States (US), with many risk factors for diabetes clustering at a community or neighborhood level. We hypothesized that the likelihood of new onset type 2 diabetes (T2D) would differ by community type in three large study samples covering the US. RESEARCH DESIGN AND METHODS: We evaluated the likelihood of new onset T2D by a census tract-level measure of community type, a modification of RUCA designations (higher density urban, lower density urban, suburban/small town, and rural) in three longitudinal US study samples (REGARDS [REasons for Geographic and Racial Differences in Stroke] cohort, VADR [Veterans Affairs Diabetes Risk] cohort, Geisinger electronic health records) representing the CDC Diabetes LEAD (Location, Environmental Attributes, and Disparities) Network. RESULTS: In the REGARDS sample, residing in higher density urban community types was associated with the lowest odds of new onset T2D (OR [95% CI]: 0.80 [0.66, 0.97]) compared to rural community types; in the Geisinger sample, residing in higher density urban community types was associated with the highest odds of new onset T2D (OR [95% CI]: 1.20 [1.06, 1.35]) compared to rural community types. In the VADR sample, suburban/small town community types had the lowest hazard ratios of new onset T2D (HR [95% CI]: 0.99 [0.98, 1.00]). However, in a regional stratified analysis of the VADR sample, the likelihood of new onset T2D was consistent with findings in the REGARDS and Geisinger samples, with highest likelihood of T2D in the rural South and in the higher density urban communities of the Northeast and West regions; likelihood of T2D did not differ by community type in the Midwest. CONCLUSIONS: The likelihood of new onset T2D by community type varied by region of the US. In the South, the likelihood of new onset T2D was higher among those residing in rural communities. |
Evaluating natural experiments that impact the diabetes epidemic: An introduction to the NEXT-D3 Network
Siegel KR , Ali MK , Ackermann RT , Black B , Huguet N , Kho A , Mangione CM , Nauman E , Ross-Degnan D , Schillinger D , Shi L , Wharam JF , Duru OK . Curr Diab Rep 2022 22 (8) 393-403 PURPOSE OF REVIEW: Diabetes is an ongoing public health issue in the USA, and, despite progress, recent reports suggest acute and chronic diabetes complications are increasing. RECENT FINDINGS: The Natural Experiments for Translation in Diabetes 3.0 (NEXT-D3) Network is a 5-year research collaboration involving six academic centers (Harvard University, Northwestern University, Oregon Health & Science University, Tulane University, University of California Los Angeles, and University of California San Francisco) and two funding agencies (Centers for Disease Control and Prevention and National Institutes of Health) to address the gaps leading to persisting diabetes burdens. The network builds on previously funded networks, expanding to include type 2 diabetes (T2D) prevention and an emphasis on health equity. NEXT-D3 researchers use rigorous natural experiment study designs to evaluate impacts of naturally occurring programs and policies, with a focus on diabetes-related outcomes. NEXT-D3 projects address whether and to what extent federal or state legislative policies and health plan innovations affect T2D risk and diabetes treatment and outcomes in the USA; real-world effects of increased access to health insurance under the Affordable Care Act; and the effectiveness of interventions that reduce barriers to medication access (e.g., decreased or eliminated cost sharing for cardiometabolic medications and new medications such as SGLT-2 inhibitors for Medicaid patients). Overarching goals include (1) expanding generalizable knowledge about policies and programs to manage or prevent T2D and educate decision-makers and organizations and (2) generating evidence to guide the development of health equity goals to reduce disparities in T2D-related risk factors, treatment, and complications. |
Use and impact of type 2 diabetes prevention interventions
Campione JR , Ritchie ND , Fishbein HA , Mardon RE , Johnson MCJr , Pace W , Birch RJ , Seeholzer EL , Zhang X , Proia K , Siegel KR , McKeever Bullard K . Am J Prev Med 2022 63 (4) 603-610 INTRODUCTION: RCTs have found that type 2 diabetes can be prevented among high-risk individuals by metformin medication and evidence-based lifestyle change programs. The purpose of this study is to estimate the use of interventions to prevent type 2 diabetes in real-world clinical practice settings and determine the impact on diabetes-related clinical outcomes. METHODS: The analysis performed in 2020 used 2010‒2018 electronic health record data from 69,434 patients aged ≥18 years at high risk for type 2 diabetes in 2 health systems. The use and impact of prescribed metformin, lifestyle change program, bariatric surgery, and combinations of the 3 were examined. A subanalysis was performed to examine uptake and retention among patients referred to the National Diabetes Prevention Program. RESULTS: Mean HbA1c values declined from before to after intervention for patients who were prescribed metformin (-0.067%; p<0.001) or had bariatric surgery (-0.318%; p<0.001). Among patients referred to the National Diabetes Prevention Program lifestyle change program, the type 2 diabetes postintervention incidence proportion was 14.0% for nonattendees, 12.8% for some attendance, and 7.5% for those who attended ≥4 sessions (p<0.001). Among referred patients to the National Diabetes Prevention Program lifestyle change program, uptake was low (13% for 1‒3 sessions, 15% for ≥4 sessions), especially among males and Hispanic patients. CONCLUSIONS: Findings suggest that metformin and bariatric surgery may improve HbA1c levels and that participation in the National Diabetes Prevention Program may reduce type 2 diabetes incidence. Efforts to increase the use of these interventions may have positive impacts on diabetes-related health outcomes. |
Categorizing community type for epidemiologic evaluation of community factors and chronic disease across the United States
McAlexander TP , Algur Y , Schwartz BS , Rummo PE , Lee DC , Siegel KR , Ryan V , Lee NL , Malla G , McClure LA . Soc Sci Humanit Open 2022 5 (1) Existing classifications of community type do not differentiate urban cores from surrounding non-rural areas, an important distinction for analyses of community features and their impact on health. Inappropriately classified community types can introduce serious methodologic flaws in epidemiologic studies and invalid inferences from findings. To address this, we evaluate a modification of the United States Department of Agriculture's Rural Urban Commuting Area codes at the census tract, propose a four-level categorization of community type, and compare this with existing classifications for epidemiologic analyses. Compared to existing classifications, our method resulted in clearer geographic delineations of community types within urban areas. |
Impact of land use and food environment on risk of type 2 diabetes: A national study of veterans, 2008-2018
India-Aldana S , Kanchi R , Adhikari S , Lopez P , Schwartz MD , Elbel BD , Rummo PE , Meeker MA , Lovasi GS , Siegel KR , Chen Y , Thorpe LE . Environ Res 2022 212 113146 BACKGROUND: Large-scale longitudinal studies evaluating influences of the built environment on risk for type 2 diabetes (T2D) are scarce, and findings have been inconsistent. OBJECTIVE: To evaluate whether land use environment (LUE), a proxy of neighborhood walkability, is associated with T2D risk across different US community types, and to assess whether the association is modified by food environment. METHODS: The Veteran's Administration Diabetes Risk (VADR) study is a retrospective cohort of diabetes-free US veteran patients enrolled in VA primary care facilities nationwide from January 1, 2008, to December 31, 2016, and followed longitudinally through December 31, 2018. A total of 4,096,629 patients had baseline addresses available in electronic health records that were geocoded and assigned a census tract-level LUE score. LUE scores were divided into quartiles, where a higher score indicated higher neighborhood walkability levels. New diagnoses for T2D were identified using a published computable phenotype. Adjusted time-to-event analyses using piecewise exponential models were fit within four strata of community types (higher-density urban, lower-density urban, suburban/small town, and rural). We also evaluated effect modification by tract-level food environment measures within each stratum. RESULTS: In adjusted analyses, higher LUE had a protective effect on T2D risk in rural and suburban/small town communities (linear quartile trend test p-value <0.001). However, in lower density urban communities, higher LUE increased T2D risk (linear quartile trend test p-value <0.001) and no association was found in higher density urban communities (linear quartile trend test p-value = 0.317). Particularly strong protective effects were observed for veterans living in suburban/small towns with more supermarkets and more walkable spaces (p-interaction = 0.001). CONCLUSION: Among veterans, LUE may influence T2D risk, particularly in rural and suburban communities. Food environment may modify the association between LUE and T2D. |
Is dietary intake of advanced glycation end products associated with mortality among adults with diabetes
Koyama AK , Pavkov ME , Wu Y , Siegel KR . Nutr Metab Cardiovasc Dis 2022 32 (6) 1402-1409 BACKGROUND AND AIMS: Prior studies suggest a positive association between dietary AGEs and adverse health outcomes but have not well-characterized AGEs intake and its association with mortality in a general adult population in the United States. METHODS AND RESULTS: We included 5474 adults with diabetes from the 2003 to 2018 National Health and Nutrition Examination Survey, a nationally representative sample of the non-institutionalized civilian population in the United States. Concordance to dietary guidelines (Healthy Eating Index 2015 [HEI-2015]) and intake of the AGE Nϵ-(carboxymethyl)lysine (CML) were estimated using an existing database and two 24-h food recalls. Multivariable Cox regression evaluated the association between AGEs intake and all-cause mortality. A secondary analysis measured CML, Nϵ-(1-carboxyethyl)lysine (CEL), and Nδ-(5-hydro-5-methyl-4-imidazolon-2-yl)-ornithine (MGH1) from an alternative database. Higher AGEs intake was associated with lower concordance to dietary guidelines (Means and standard errors of HEI-2015 score, by quartiles of AGEs intake: Q1 = 55.2 ± 0.6, Q2 = 54.1 ± 0.5, Q3 = 52.1 ± 0.5, Q4 = 49.0 ± 0.5; p < 0.001). There were 743 deaths among 3884 adults in the mortality analysis (mean follow-up = 3.8 years). AGEs intake was not significantly associated with all-cause mortality (Q2 vs. Q1: Hazard Ratio [HR] = 0.91 [0.69-1.21], Q3 vs. Q1: HR = 0.90 [0.63-1.27], Q4 vs. Q1: HR = 1.16 [0.84-1.60]). Results were similar in secondary analyses. CONCLUSION: While dietary AGEs intake was associated with concordance to dietary guidelines, it was not significantly associated with all-cause mortality among adults with diabetes. Further research may consider other health outcomes as well as the evaluating specific contribution of dietary AGEs to overall AGEs burden. |
Neighborhood socioeconomic environment and risk of type 2 diabetes: Associations and mediation through food environment pathways in three independent study samples
Thorpe LE , Adhikari S , Lopez P , Kanchi R , McClure LA , Hirsch AG , Howell CR , Zhu A , Alemi F , Rummo P , Ogburn EL , Algur Y , Nordberg CM , Poulsen MN , Long L , Carson AP , DeSilva SA , Meeker M , Schwartz BS , Lee DC , Siegel KR , Imperatore G , Elbel B . Diabetes Care 2022 45 (4) 798-810 OBJECTIVE: We examined whether relative availability of fast-food restaurants and supermarkets mediates the association between worse neighborhood socioeconomic conditions and risk of developing type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS: As part of the Diabetes Location, Environmental Attributes, and Disparities Network, three academic institutions used harmonized environmental data sources and analytic methods in three distinct study samples: (1) the Veterans Administration Diabetes Risk (VADR) cohort, a national administrative cohort of 4.1 million diabetes-free veterans developed using electronic health records (EHRs); (2) Reasons for Geographic and Racial Differences in Stroke (REGARDS), a longitudinal, epidemiologic cohort with Stroke Belt region oversampling (N = 11,208); and (3) Geisinger/Johns Hopkins University (G/JHU), an EHR-based, nested case-control study of 15,888 patients with new-onset T2D and of matched control participants in Pennsylvania. A census tract-level measure of neighborhood socioeconomic environment (NSEE) was developed as a community type-specific z-score sum. Baseline food-environment mediators included percentages of (1) fast-food restaurants and (2) food retail establishments that are supermarkets. Natural direct and indirect mediating effects were modeled; results were stratified across four community types: higher-density urban, lower-density urban, suburban/small town, and rural. RESULTS: Across studies, worse NSEE was associated with higher T2D risk. In VADR, relative availability of fast-food restaurants and supermarkets was positively and negatively associated with T2D, respectively, whereas associations in REGARDS and G/JHU geographies were mixed. Mediation results suggested that little to none of the NSEE-diabetes associations were mediated through food-environment pathways. CONCLUSIONS: Worse neighborhood socioeconomic conditions were associated with higher T2D risk, yet associations are likely not mediated through food-environment pathways. |
Time to start addressing (and not just describing) the social determinants of diabetes: results from the NEXT-D 2.0 network
Siegel KR , Gregg EW , Duru OK , Shi L , Mangione CM , Thornton PL , Clauser S , Ali MK . BMJ Open Diabetes Res Care 2021 9 Social determinants of health (SDOH) are not new. For example, observational data over 40 years have shown consistent—and often heart-wrenching—differences in diabetes outcomes across populations, where populations at socioeconomic disadvantage, in terms of lower education and income levels, experience less access to care and preventive services,1 lower rates of diagnosis, poorer health behaviors and control,2 worse cardiometabolic outcomes,3 and shorter life expectancy as compared with more advantaged populations of higher socioeconomic status.4 These findings suggest that diabetes is not a purely biological issue; its onset and progression are heavily influenced by the broader social context. In particular, type 2 diabetes is in large part the result of choices that people are unable to make based on the health-promoting resources and opportunities available and accessible to them.5 In in the USA, social and economic stressors and related disparities are patterned by geography and race/ethnicity.6 Type 2 diabetes, therefore, is as much an issue of where you live, as it is an issue of how you live. |
Health Care Access and Use Among Adults with Diabetes During the COVID-19 Pandemic - United States, February-March 2021.
Czeisler MÉ , Barrett CE , Siegel KR , Weaver MD , Czeisler CA , Rajaratnam SMW , Howard ME , Bullard KM . MMWR Morb Mortal Wkly Rep 2021 70 (46) 1597-1602 Diabetes affects approximately one in 10 persons in the United States(†) and is a risk factor for severe COVID-19 (1), especially when a patient's diabetes is not well managed (2). The extent to which the COVID-19 pandemic has affected diabetes care and management, and whether this varies across age groups, is currently unknown. To evaluate access to and use of health care, as well as experiences, attitudes, and behaviors about COVID-19 prevention and vaccination, a nonprobability, Internet-based survey was administered to 5,261 U.S. adults aged ≥18 years during February-March 2021. Among respondents, 760 (14%) adults who reported having diabetes currently managed with medication were included in the analysis. Younger adults (aged 18-29 years) with diabetes were more likely to report having missed medical care during the past 3 months (87%; 79) than were those aged 30-59 years (63%; 372) or ≥60 years (26%; 309) (p<0.001). Overall, 44% of younger adults reported difficulty accessing diabetes medications. Younger adults with diabetes also reported lower intention to receive COVID-19 vaccination (66%) compared with adults aged ≥60 years(§) (85%; p = 0.001). During the COVID-19 pandemic, efforts to enhance access to diabetes care for adults with diabetes and deliver public health messages emphasizing the importance of diabetes management and COVID-19 prevention, including vaccination, are warranted, especially in younger adults. |
Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort
Kanchi R , Lopez P , Rummo PE , Lee DC , Adhikari S , Schwartz MD , Avramovic S , Siegel KR , Rolka DB , Imperatore G , Elbel B , Thorpe LE . JAMA Netw Open 2021 4 (10) e2130789 IMPORTANCE: Diabetes causes substantial morbidity and mortality among adults in the US, yet its incidence varies across the country, suggesting that neighborhood factors are associated with geographical disparities in diabetes. OBJECTIVE: To examine the association between neighborhood food environment and risk of incident type 2 diabetes across different community types (high-density urban, low-density urban, suburban, and rural). DESIGN, SETTING, AND PARTICIPANTS: This is a national cohort study of 4 100 650 US veterans without type 2 diabetes. Participants entered the cohort between 2008 and 2016 and were followed up through 2018. The median (IQR) duration of follow-up was 5.5 (2.6-9.8) person-years. Data were obtained from Veterans Affairs electronic health records. Incident type 2 diabetes was defined as 2 encounters with type 2 diabetes International Classification of Diseases, Ninth Revision or Tenth Revision codes, a prescription for diabetes medication other than metformin or acarbose alone, or 1 encounter with type 2 diabetes International Classification of Diseases Ninth Revision or Tenth Revision codes and 2 instances of elevated hemoglobin A1c (≥6.5%). Data analysis was performed from October 2020 to March 2021. EXPOSURES: Five-year mean counts of fast-food restaurants and supermarkets relative to other food outlets at baseline were used to generate neighborhood food environment measures. The association between food environment and time to incident diabetes was examined using piecewise exponential models with 2-year interval of person-time and county-level random effects stratifying by community types. RESULTS: The mean (SD) age of cohort participants was 59.4 (17.2) years. Most of the participants were non-Hispanic White (2 783 756 participants [76.3%]) and male (3 779 555 participants [92.2%]). The relative density of fast-food restaurants was positively associated with a modestly increased risk of type 2 diabetes in all community types. The adjusted hazard ratio (aHR) was 1.01 (95% CI, 1.00-1.02) in high-density urban communities, 1.01 (95% CI, 1.01-1.01) in low-density urban communities, 1.02 (95% CI, 1.01-1.03) in suburban communities, and 1.01 (95% CI, 1.01-1.02) in rural communities. The relative density of supermarkets was associated with lower type 2 diabetes risk only in suburban (aHR, 0.97; 95% CI, 0.96-0.99) and rural (aHR, 0.99; 95% CI, 0.98-0.99) communities. CONCLUSIONS AND RELEVANCE: These findings suggest that neighborhood food environment measures are associated with type 2 diabetes among US veterans in multiple community types and that food environments are potential avenues for action to address the burden of diabetes. Tailored interventions targeting the availability of supermarkets may be associated with reduced diabetes risk, particularly in suburban and rural communities, whereas restrictions on fast-food restaurants may help in all community types. |
Population-level approaches to preventing type 2 diabetes globally
Siegel KR , Albright AL . Endocrinol Metab Clin North Am 2021 50 (3) 401-414 Type 2 diabetes (T2DM) is increasingly considered an epidemic rooted in modern society as much as in individual behavior. Addressing the T2DM burden thus involves a dual approach, simultaneously addressing high-risk individuals and whole populations. Within this context, this article summarizes the evidence base, in terms of effectiveness and cost-effectiveness, for population-level approaches to prevent T2DM: (1) modifications to the food environment; (2) modifications to the built environment and physical activity; and (3) programs and policies to address social and economic factors. Existing knowledge gaps are also discussed. |
Association of community socioeconomic deprivation with evidence of reduced kidney function at time of type 2 diabetes diagnosis
Hirsch AG , Nordberg CM , Chang A , Poulsen MN , Moon KA , Siegel KR , Rolka DB , Schwartz BS . SSM Popul Health 2021 15 100876 Background: While there are known individual-level risk factors for kidney disease at time of type 2 diabetes diagnosis, little is known regarding the role of community context. We evaluated the association of community socioeconomic deprivation (CSD) and community type with estimated glomerular filtration rate (eGFR) when type 2 diabetes is diagnosed. Method(s): This was a retrospective cohort study of 13,144 adults with newly diagnosed type 2 diabetes in Pennsylvania. The outcome was the closest eGFR measurement within one year prior to and two weeks after type 2 diabetes diagnosis, calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-Epi) equation. We used adjusted multinomial regression models to estimate associations of CSD (quartile 1, least deprivation) and community type (township, borough, city) with eGFR and used adjusted generalized estimating equation models to evaluate whether community features were associated with the absence of diabetes screening in the years prior to type 2 diabetes diagnosis. Result(s): Of the participants, 1279 (9.7%) had hyperfiltration and 1377 (10.5%) had reduced eGFR. Women were less likely to have hyperfiltration and more likely to have reduced eGFR. Black (versus White) race was positively associated with hyperfiltration when the eGFR calculation was corrected for race but inversely associated without the correction. Medical Assistance (ever versus never) was positively associated with reduced eGFR. Higher CSD and living in a city were each positively associated (odds ratio [95% confidence interval]) with reduced eGFR (CSD quartiles 3 and 4 versus quartile 1, 1.23 [1.04, 1.46], 1.32 [1.11, 1.58], respectively; city versus township, 1.38 [1.15, 1.65]). These features were also positively associated with the absence of a type 2 diabetes screening measure. Conclusion(s): In a population-based sample, more than twenty percent had hyperfiltration or reduced eGFR at time of type 2 diabetes diagnosis. Individual- and community-level factors were associated with these outcomes. Copyright © 2021 The Authors |
Dietary Factors and Prevention: Risk of End-Stage Kidney Disease by Fruit and Vegetable Consumption
Banerjee T , Carrero JJ , McCulloch C , Burrows NR , Siegel KR , Morgenstern H , Saran R , Powe NR . Am J Nephrol 2021 52 (5) 1-12 BACKGROUND: The association between fruit and vegetable (FV) intake and the risk of end-stage kidney disease (ESKD) has not been examined in the general population and fully explored in chronic kidney disease (CKD). We prospectively evaluated this relationship in US representative sample of adults and evaluated consistency by the presence or absence, and severity, of CKD. METHODS: We used data from the Third National Health and Nutrition Examination Survey (1988-1994) linked with the US Renal Data System, including 14,725 adults aged ≥20 years and with follow-up for ESKD through 2008. Daily FV intake was ascertained using a food frequency questionnaire. We examined the association between selected categories of FV intake and ESKD using a Fine Gray competing risk model adjusting for sociodemographics, lifestyle, clinical and nutritional factors, estimated glomerular filtration rate, and albuminuria. We evaluated whether risk varied in individuals with severe versus any CKD. RESULTS: 230 participants (1.5%) developed ESKD during follow-up. In the adjusted model, compared to highest intake, those in lowest categories of FV intake had a higher risk of ESKD, for <2 times/day (1.45 [1.24-1.68], 2 to <3 times/day (1.40 [1.18-1.61]), 3 to <4 times/day (1.25 [1.04-1.46]), and 4 to <6 times/day (1.14 [0.97-1.31]). There was suggestion of heterogeneity (p for interaction = 0.03) with possible stronger inverse association in patients with CKD than those without CKD. After stratification, we obtained similar strong inverse association when we examined ESKD incidence across intake of FVs in participants with CKD stages 1-4 (n = 5,346) and specifically in those with CKD stages 3-4 (n = 1,084). CONCLUSIONS: Low intake of FVs was associated with higher risk of ESKD in US adults with and without CKD, supporting an emerging body of literature on the potential benefits of plant-rich diets for prevention of ESKD. |
Proximity to freshwater blue space and type 2 diabetes onset: The importance of historical and economic context
Poulsen MN , Schwartz BS , DeWalle J , Nordberg C , Pollak JS , Silva J , Mercado CI , Rolka DB , Siegel KR , Hirsch AG . Landsc Urban Plann 2021 209 Salutogenic effects of living near aquatic areas (blue space) remain underexplored, particularly in non-coastal and non-urban areas. We evaluated associations of residential proximity to inland freshwater blue space with new onset type 2 diabetes (T2D) in central and northeast Pennsylvania, USA, using medical records to conduct a nested case-control study. T2D cases (n = 15,888) were identified from diabetes diagnoses, medication orders, and laboratory test results and frequency-matched on age, sex, and encounter year to diabetes-free controls (n = 79,435). We calculated distance from individual residences to the nearest lake, river, tributary, or large stream, and residence within the 100-year floodplain. Logistic regression models adjusted for community socioeconomic deprivation and other confounding variables and stratified by community type (townships [rural/suburban], boroughs [small towns], city census tracts). Compared to individuals living ≥ 1.25 miles from blue space, those within 0.25 miles had 8% and 17% higher odds of T2D onset in townships and boroughs, respectively. Among city residents, T2D odds were 38–39% higher for those living 0.25 to < 0.75 miles from blue space. Residing within the floodplain was associated with 16% and 14% higher T2D odds in townships and boroughs. A post-hoc analysis demonstrated patterns of lower residential property values with nearer distance to the region's predominant waterbody, suggesting unmeasured confounding by socioeconomic disadvantage. This may explain our unexpected findings of higher T2D odds with closer proximity to blue space. Our findings highlight the importance of historic and economic context and interrelated factors such as flood risk and lack of waterfront development in blue space research. |
Association of greenness with blood pressure among individuals with type 2 diabetes across rural to urban community types in Pennsylvania, USA
Poulsen MN , Schwartz BS , Nordberg C , DeWalle J , Pollak J , Imperatore G , Mercado CI , Siegel KR , Hirsch AG . Int J Environ Res Public Health 2021 18 (2) Greenness may impact blood pressure (BP), though evidence is limited among individuals with type 2 diabetes (T2D), for whom BP management is critical. We evaluated associations of residential greenness with BP among individuals with T2D in geographically diverse communities in Pennsylvania. To address variation in greenness type, we evaluated modification of associations by percent forest. We obtained systolic (SBP) and diastolic (DBP) BP measurements from medical records of 9593 individuals following diabetes diagnosis. Proximate greenness was estimated within 1250-m buffers surrounding individuals' residences using the normalized difference vegetation index (NDVI) prior to blood pressure measurement. Percent forest was calculated using the U.S. National Land Cover Database. Linear mixed models with robust standard errors accounted for spatial clustering; models were stratified by community type (townships/boroughs/cities). In townships, the greenest communities, an interquartile range increase in NDVI was associated with reductions in SBP of 0.87 mmHg (95% CI: -1.43, -0.30) and in DBP of 0.41 mmHg (95% CI: -0.78, -0.05). No significant associations were observed in boroughs or cities. Evidence for modification by percent forest was weak. Findings suggest a threshold effect whereby high greenness may be necessary to influence BP in this population and support a slight beneficial impact of greenness on cardiovascular disease risk. |
Consumption of foods derived from subsidized crops remains associated with cardiometabolic risk: An update on the evidence using the National Health and Nutrition Examination Survey 2009-2014
Do WL , Bullard KM , Stein AD , Ali MK , Narayan KMV , Siegel KR . Nutrients 2020 12 (11) In this study, we examined the associations between the consumption of foods derived from crops subsidized under the 2008 United States (US) Farm Bill and cardiometabolic risk factors and whether the magnitude of these associations has changed since the 2002 US Farm Bill. Four federal databases were used to estimate daily consumption of the top seven subsidized commodities (corn, soybeans, wheat, rice, sorghum, dairy, and livestock) and to calculate a subsidy score (0-1 scale) for Americans' daily dietary intake during 2009-2014, with a higher score indicative of a higher proportion of the diet derived from subsidized commodities. The cardiometabolic risk factors included obesity, abdominal adiposity, hypertension, dyslipidemia, and dysglycemia. Linear and logistic regression models were adjusted for age, sex, race/ethnicity, the poverty-income ratio, the smoking status, educational attainment, physical activity, and daily calorie intake. During 2009-2014, adults with the highest subsidy score had higher probabilities of obesity, abdominal adiposity, and dysglycemia compared to the lowest subsidy score. After the 2002 Farm Bill (measured using data from 2001-2006), the subsidy score decreased from 56% to 50% and associations between consuming a highly-subsidized diet and dysglycemia did not change (p = 0.54), whereas associations with obesity (p = 0.004) and abdominal adiposity (p = 0.002) significantly attenuated by more than half. The proportion of calories derived from subsidized food commodities continues to be associated with adverse cardiometabolic risk factors, though the relationship with obesity and abdominal adiposity has weakened in recent years. |
The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR): Unique 1.4 M patient Electronic Health Record cohort.
Fishbein HA , Birch RJ , Mathew SM , Sawyer HL , Pulver G , Poling J , Kaelber D , Mardon R , Johnson MC , Pace W , Umbel KD , Zhang X , Siegel KR , Imperatore G , Shrestha S , Proia K , Cheng Y , McKeever Bullard K , Gregg EW , Rolka D , Pavkov ME . Healthc (Amst) 2020 8 (4) 100458 BACKGROUND: The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR) study uses a novel Electronic Health Record (EHR) data approach as a tool to assess the epidemiology of known and new risk factors for type 2 diabetes mellitus (T2DM) and study how prevention interventions affect progression to and onset of T2DM. We created an electronic cohort of 1.4 million patients having had at least 4 encounters with a healthcare organization for at least 24-months; were aged ≥18 years in 2010; and had no diabetes (i.e., T1DM or T2DM) at cohort entry or in the 12 months following entry. EHR data came from patients at nine healthcare organizations across the U.S. between January 1, 2010-December 31, 2016. RESULTS: Approximately 5.9% of the LEADR cohort (82,922 patients) developed T2DM, providing opportunities to explore longitudinal clinical care, medication use, risk factor trajectories, and diagnoses for these patients, compared with patients similarly matched prior to disease onset. CONCLUSIONS: LEADR represents one of the largest EHR databases to have repurposed EHR data to examine patients' T2DM risk. This paper is first in a series demonstrating this novel approach to studying T2DM. IMPLICATIONS: Chronic conditions that often take years to develop can be studied efficiently using EHR data in a retrospective design. LEVEL OF EVIDENCE: While much is already known about T2DM risk, this EHR's cohort's 160 M data points for 1.4 M people over six years, provides opportunities to investigate new unique risk factors and evaluate research hypotheses where results could modify public health practice for preventing T2DM. |
Cost-effectiveness of interventions to manage diabetes: Has the evidence changed since 2008
Siegel KR , Ali MK , Zhou X , Ng BP , Jawanda S , Proia K , Zhang X , Gregg EW , Albright AL , Zhang P . Diabetes Care 2020 43 (7) 1557-1592 OBJECTIVE To synthesize updated evidence on the cost-effectiveness (CE) of interventions to manage diabetes, its complications, and comorbidities. RESEARCH DESIGN AND METHODS Weconducted a systematic literature review of studies from high-income countries evaluating the CE of diabetes management interventions recommended by the American Diabetes Association (ADA) and published in English between June 2008 and July 2017. We also incorporated studies from a previous CE review from the period 1985-2008. We classified the interventions based on their strength of evidence (strong, supportive, or uncertain) and levels of CE: Cost-saving (more health benefit at a lower cost), very cost-effective (£$25,000 per life year gained [LYG] or quality-adjusted life year [QALY]), cost-effective ($25,001-$50,000 per LYG or QALY), marginally cost-effective ($50,001-$100,000 per LYG or QALY), or not costeffective (>$100,000 per LYG or QALY). Costs were measured in 2017 U.S. dollars. RESULTS Seventy-three new studies met our inclusion criteria. These were combined with 49 studies from the previous review to yield 122 studies over the period 1985-2017. A large majority of the ADA-recommended interventions remain cost-effective. Specifically, we found strong evidence that the following ADA-recommended interventions are cost-saving or very cost-effective: In the cost-saving category are 1) ACE inhibitor (ACEI)/angiotensin receptor blocker (ARB) therapy for intensive hypertension management compared with standard hypertension management, 2) ACEI/ARB therapy to prevent chronic kidney disease and/or end-stage renal disease in people with albuminuria compared with no ACEI/ARB therapy, 3) comprehensive foot care and patient education to prevent and treat foot ulcers among those at moderate/high risk of developing foot ulcers, 4) telemedicine for diabetic retinopathy screening compared with office screening, and 5) bariatric surgery compared with no surgery for individuals with type 2 diabetes (T2D) and obesity (BMI ‡30 kg/m2). In the very cost-effective category are 1) intensive glycemic management (targeting A1C <7%) compared with conventional glycemic management (targeting an A1C level of 8-10%) for individuals with newly diagnosed T2D, 2) multicomponent interventions (involving behavior change/education and pharmacological therapy targeting hyperglycemia, hypertension, dyslipidemia, microalbuminuria, nephropathy/retinopathy, secondary prevention of cardiovascular disease with aspirin) compared with usual care, 3) statin therapy compared withnostatin therapy for individualswithT2Dandhistoryof cardiovascular disease,4) diabetes self-management education and support compared with usual care, 5) T2D screening every 3 years starting at age 45 years compared with no screening, 6) integrated, patient-centered care compared with usual care, 7) smoking cessation compared with no smoking cessation, 8) daily aspirin use as primary prevention for cardiovascular complications compared with usual care, 9) self-monitoring of blood glucose three times per day compared with once per day among those using insulin, 10) intensive glycemic management compared with conventional insulin therapy for T2D among adults aged ‡50 years, and 11) collaborative care for depression compared with usual care. CONCLUSIONS Complementing professional treatment recommendations, our systematic review provides an updated understanding of the potential value of interventions to manage diabetes and its complications and can assist clinicians and payers in prioritizing interventions and health care resources. |
Cost-effectiveness of diabetes prevention interventions targeting high-risk individuals and whole populations: A systematic review
Zhou X , Siegel KR , Ng BP , Jawanda S , Proia KK , Zhang X , Albright AL , Zhang P . Diabetes Care 2020 43 (7) 1593-1616 OBJECTIVE Weconducted a systematic review of studies evaluating the cost-effectiveness (CE) of interventions to prevent type 2 diabetes (T2D) among high-risk individuals and whole populations. RESEARCH DESIGN AND METHODS Interventions targeting high-risk individuals are those that identify people at high risk of developing T2D and then treat them with either lifestyle or metformin interventions. Population-based prevention strategies are those that focus on the whole population regardless of the level of risk, creating public health impact through policy implementation, campaigns, and other environmental strategies. We systematically searched seven electronic databases for studies published in English between 2008 and 2017. We grouped lifestyle interventions targeting highrisk individuals by delivery method and personnel type. We used the median incremental cost-effectiveness ratio (ICER), measured in cost per quality-adjusted life year (QALY) or cost saved to measure the CE of interventions. We used the $50,000/QALY threshold to determine whether an intervention was cost-effective or not. ICERs are reported in 2017 U.S. dollars. RESULTS Our review included 39 studies: 28 on interventions targeting high-risk individuals and 11 targeting whole populations. Both lifestyle and metformin interventions in high-risk individuals were cost-effective from a health care system or a societal perspective, with median ICERs of $12,510/QALY and $17,089/QALY, respectively, compared with no intervention. Among lifestyle interventions, those that followed a Diabetes Prevention Program (DPP) curriculum had a median ICER of $6,212/QALY, while those that did not follow a DPP curriculum had a median ICER of $13,228/QALY. Compared with lifestyle interventions delivered one-on-one or by a health professional, those offered in a group setting or provided by a combination of health professionals and lay health workers had lower ICERs. Among populationbased interventions, taxing sugar-sweetened beverages was cost-saving from both the health care system and governmental perspectives. Evaluations of other population-based interventionsdincluding fruit and vegetable subsidies, community-based education programs, and modifications to the built environmentd showed inconsistent results. CONCLUSIONS Most of the T2D prevention interventions included in our review were found to be either cost-effective or cost-saving. Our findings may help decision makers set priorities and allocate resources for T2D prevention in real-world settings. |
Dietary strategies to manage diabetes and glycemic control in youth and young adults with youth-onset type 1 and type 2 diabetes: The SEARCH for Diabetes in Youth Study
Sauder KA , Stafford JM , The NS , Mayer-Davis EJ , Thomas J , Lawrence JM , Kim G , Siegel KR , Jensen ET , Shah A , D'Agostino RB , Dabelea D . Pediatr Diabetes 2020 21 (7) 1093-1101 AIMS: Examine associations of dietary strategies used to manage diabetes over time with hemoglobin A1c in youth-onset type 1 or type 2 diabetes. METHODS: The SEARCH for Diabetes in Youth observational study assessed dietary strategies used by 1,814 participants with diabetes (n=1,558 type 1, n=256 type 2) at 2-3 research visits over 5.5 years (range 1.7-12.2). Participants reported often, sometimes, or never using 10 different dietary strategies, and use over time was categorized into 5 mutually exclusive groups: often using across visits; started using at later visits; sometimes using across visits; stopped using at later visits; or never using across visits. General multivariable linear models evaluated most recent A1c by use category for each strategy. RESULTS: In type 1 diabetes, A1c was lower among those who starting tracking calories (-0.4%, Tukey p<0.05), often counted carbs (-0.8%, Tukey p<0.001), or sometimes chose low glycemic index foods (-0.5%, Tukey p=0.02) versus those with less use, while participants who never drank more milk had the lowest A1c (-0.5%, Tukey p=0.04). In type 2 diabetes, A1c was lower among those who often limited high fat foods (-2.0%, Tukey p=0.02) or started counting carbohydrates (-1.7%, Tukey p=0.07) than those who did so less. CONCLUSIONS: For several dietary strategies, more frequent use over time was related to lower A1c in youth-onset type 1 and type 2 diabetes, suggesting these strategies can likely support diabetes management for this population. Investigation into factors predicting receipt of advice for specific strategies and corresponding impact on intake might be considered. This article is protected by copyright. All rights reserved. |
Filling the public health science gaps for diabetes with natural experiments
Gregg EW , Duru OK , Shi L , Mangione CM , Siegel KR , Ramsay A , Thornton PL , Clauser S , Ali MK . Med Care 2020 58 Suppl 6 Suppl 1 S1-s3 Two decades ago, a wave of effectiveness trials demonstrating the enormous potential to reduce both diabetes and its complications gave a new stimulus to implementation research intended to find the best ways to translate, implement, and evaluate prevention through mediums of public health action.1–3 This burgeoning research portfolio largely used approaches that were limited by the available data infrastructures and study designs of the day. For example, translating primary prevention of diabetes employed pragmatic, randomized implementation studies, using the proof of concept of prevention but modifying the target population, context, dosage, or delivery mode.4 Similarly, translation studies to improve care for diabetes focused on trials or observations of the health care delivery unit and how changes in team composition and workflows, information sharing, communication, or decision support could improve real-world delivery of care.5,6 These efforts contributed to long-term reductions in diabetes complications in the United States and laid the groundwork for broader efforts to scale up primary prevention.7,8 Despite these successes, though, the impact of the diabetes epidemic is persistent and unpredictable.9 National surveillance data of diabetes complications and the cascades of care have shown that the diffusion of effective interventions is often patchwork and selective, and there has been no narrowing of the socioeconomic disparities that have characterized the diabetes epidemic.10–12 Further, there is new evidence of an increasing divide along age and socioeconomic lines.13 |
Sugar-sweetened beverage intake among adults, by residence in metropolitan and nonmetropolitan counties in 12 states and the District of Columbia, 2017
Imoisili O , Park S , Lundeen EA , Pan L , O'Toole T , Siegel KR , Blanck HM . Prev Chronic Dis 2020 17 E07 The objective of this study was to describe the prevalence of sugar-sweetened beverage (SSB) intake among US adults (n = 68,896) residing in metropolitan and nonmetropolitan counties, by state, using data from the Behavioral Risk Factor Surveillance System. We used multinomial logistic regression to calculate adjusted prevalence ratios for daily (>/=1 time per day) SSB intake. Overall, 26.0% of respondents reported daily SSB intake, with significantly higher prevalence in nonmetropolitan counties (30.9%) than in metropolitan counties (24.8%) (adjusted prevalence ratio = 1.32, 95% confidence interval, 1.26-1.39). This same pattern was significant in 5 of 11 states with metropolitan and nonmetropolitan counties. These findings could inform efforts to reduce frequent SSB intake in nonmetropolitan areas. |
Using natural experimental studies to guide public health action: turning the evidence-based medicine paradigm on its head
Ogilvie D , Adams J , Bauman A , Gregg EW , Panter J , Siegel KR , Wareham NJ , White M . J Epidemiol Community Health 2019 74 (2) 203-208 Despite smaller effect sizes, interventions delivered at population level to prevent non-communicable diseases generally have greater reach, impact and equity than those delivered to high-risk groups. Nevertheless, how to shift population behaviour patterns in this way remains one of the greatest uncertainties for research and policy. Evidence about behaviour change interventions that are easier to evaluate tends to overshadow that for population-wide and system-wide approaches that generate and sustain healthier behaviours. Population health interventions are often implemented as natural experiments, which makes their evaluation more complex and unpredictable than a typical randomised controlled trial (RCT). We discuss the growing importance of evaluating natural experiments and their distinctive contribution to the evidence for public health policy. We contrast the established evidence-based practice pathway, in which RCTs generate 'definitive' evidence for particular interventions, with a practice-based evidence pathway in which evaluation can help adjust the compass bearing of existing policy. We propose that intervention studies should focus on reducing critical uncertainties, that non-randomised study designs should be embraced rather than tolerated and that a more nuanced approach to appraising the utility of diverse types of evidence is required. The complex evidence needed to guide public health action is not necessarily the same as that which is needed to provide an unbiased effect size estimate. The practice-based evidence pathway is neither inferior nor merely the best available when all else fails. It is often the only way to generate meaningful evidence to address critical questions about investing in population health interventions. |
The cardiometabolic risk profile of young adults with diabetes in the U.S
Saydah SH , Siegel KR , Imperatore G , Mercado C , Gregg EW . Diabetes Care 2019 42 (10) 1895-1902 OBJECTIVE: We examined young adults with and young adults without diabetes by using demographic data and cardiometabolic risk profiles and compared the risk profiles of younger versus older (aged >/=45 years) adults with diabetes. RESEARCH DESIGN AND METHODS: Data were obtained from the National Health and Nutrition Examination Survey 2007-2016. Diabetes was defined by self-report of health care provider diagnosis or by A1C levels of 6.5% or higher among those without a self-reported diagnosis. The cardiometabolic risk profile included adiposity, blood pressure, serum lipids, healthy eating, physical activity (PA), and exposure to tobacco smoke. Adjusted difference in difference was calculated as the difference among younger adults with and younger adults without diabetes minus the difference among older adults with and older adults without diabetes. RESULTS: Adults with diabetes in both age-groups had higher levels of adiposity, hypertension, and cholesterol and lower levels of healthy eating and leisure-time PA. However, the differences in high cholesterol and adiposity by diabetes status were greater among young adults compared with older adults after adjustment for demographics and health insurance status. Elevated lipids were 9.6 percentage points higher (95% CI 4.6, 14.5) and obesity was 37.3 percentage points higher (95% CI 31.8, 42.7) among young adults with diabetes compared with those without diabetes than among older adults with diabetes compared with those without diabetes. CONCLUSIONS: Young adults with diabetes have high rates of cardiometabolic risk factors, which can lead to an increased prevalence of disease and mortality rate among these individuals as they age. |
Insufficient consumption of fruits and vegetables among individuals 15 years and older in 28 low- and middle-income countries: What can be done
Siegel KR . J Nutr 2019 149 (7) 1105-1106 In this issue of The Journal of Nutrition, Frank et al. (1) report that only 18% of individuals in low- and middle-income countries meet WHO recommendations to consume 400 g/d of fruits and vegetables, which equates to ∼5 servings/d (2). Using data from 28 low- and middle-income countries (n = 193,606 adults aged ≥ 15 y), the authors pooled individual-level data from nationally representative population-based surveys conducted from 2005 to 2016 and looked at fruit and vegetable consumption by sociodemographic subpopulations. They found that the proportion of individuals meeting WHO recommendations increased with increasing country Gross Domestic Product level and with decreasing country FAO food price index, and that, at the individual level, those with secondary education or greater were more likely to achieve the recommendations than those with no formal education. This article fills an important gap, and the findings shed light on a major public health issue, because insufficient fruit and vegetable consumption is associated with increased risk of a number of chronic diseases, including type 2 diabetes, cardiovascular disease, and certain cancers, as well as elevated risk of micronutrient deficiencies (3, 4). |
Advancing measurement of diabetes at the population level
Ali MK , Siegel KR , Laxy M , Gregg EW . Curr Diab Rep 2018 18 (11) 108 PURPOSE: The measurement and estimation of diabetes in populations guides resource allocation, health priorities, and can influence practice and future research. To provide a critical reflection on current diabetes surveillance, we provide in-depth discussion about how upstream determinants, prevalence, incidence, and downstream impacts of diabetes are measured in the USA, and the challenges in obtaining valid, accurate, and precise estimates. FINDINGS: Current estimates of the burden of diabetes risk are obtained through national surveys, health systems data, registries, and administrative data. Several methodological nuances influence accurate estimates of the population-level burden of diabetes, including biases in selection and response rates, representation of population subgroups, accuracy of reporting of diabetes status, variation in biochemical testing, and definitions of diabetes used by investigators. Technological innovations and analytical approaches (e.g., data linkage to outcomes data like the National Death Index) may help address some, but not all, of these concerns, and additional methodological advances and validation are still needed. Current surveillance efforts are imperfect, but measures consistently collected and analyzed over several decades enable useful comparisons over time. In addition, we proposed that focused subsampling, use of technology, data linkages, and innovative sensitivity analyses can substantially advance population-level estimation. |
Prevalence of major behavioral risk factors for type 2 diabetes
Siegel KR , Bullard KM , Imperatore G , Ali MK , Albright A , Mercado CI , Li R , Gregg EW . Diabetes Care 2018 41 (5) 1032-1039 OBJECTIVE: We examined the proportion of American adults without type 2 diabetes that engages in lifestyle behaviors known to reduce type 2 diabetes risk. RESEARCH DESIGN AND METHODS: We conducted a cross-sectional analysis of 3,679 nonpregnant, nonlactating individuals aged >/=20 years without diabetes (self-reported diagnosis or glycated hemoglobin >/=6.5% [8 mmol/mol] or fasting plasma glucose >/=126 mg/dL) and who provided 2 days of reliable dietary data in the 2007-2012 National Health and Nutrition Examination Surveys (NHANES). We used the average of 2 days of dietary recall and self-reported leisure-time physical activity to assess whether participants met type 2 diabetes risk reduction goals (meeting four or more MyPlate recommendations [adequate consumption of fruits, vegetables, dairy, grains, meat, beans, and eggs]; not exceeding three maximum allowances for alcoholic beverages, added sugars, fat, and cholesterol; and meeting physical activity recommendations [>/=150 min/week]). RESULTS: Approximately 21%, 29%, and 13% of individuals met fruit, vegetable, and dairy goals, respectively. Half (51.6%) met the goal for total grains, compared with 18% for whole grains, and 54.2% met the meat/beans goal and 40.6% met the oils goal. About one-third (37.8%) met the physical activity goal, and 58.6% met the weight loss/maintenance goal. Overall, 3.1% (95% CI 2.4-4.0) of individuals met the majority of type 2 diabetes risk reduction goals. Younger age and lower educational attainment were associated with lower probability of meeting goals. CONCLUSIONS: A small proportion of U.S. adults engages in risk reduction behaviors. Research and interventions targeted at young and less-educated segments of the population may help close gaps in risk reduction behaviors. |
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