Prevalence of Diabetes and Associated Obesity in Pennsylvania Adults, 1995–2010

Garcia-Dominic, Oralia; Lengerich, Eugene J.; Camacho, Fabian; Gallant, Nancy R.; Wray, Linda A.; Ahern, Frank M.; Bogdan, Gregory F.; Weinberg, Gene B.; Ulbrecht, Jan S.

doi:10.5888/pcd11.130330

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…This situation seems to be worse in developing countries, where the healthcare system often fails to meet demand [ 6 ]. Studies have concluded that a Western dietary pattern, sedentary lifestyle, and genetic factors play a central role in diabetes development [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Self-Reported Diabetes and Its Associated Factors: A Population-Based Study in Brazil

DaMata

Galvão

Pereira

2015

International Journal of Endocrinology

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Aim. The aim of this study was to estimate the prevalence of diabetes and its associated risk factors in adults from Brasilia, Brazil. Methods. The present cross-sectional population-based study consisted of interviews with individuals aged 18–65 years. Participants were selected through two-stage probability sampling by clusters and stratified by sex and age. Demographic and clinical data were collected directly with participants from February to May 2012. Self-reported diabetes prevalence was calculated at a 95% confidence interval (CI). Prevalence ratios (PR) were adjusted by Poisson regression with robust variance. Results. In all, 1,820 individuals were interviewed. Diabetes prevalence in the adult population of Brasilia was 10.1% (95% CI, 8.5%–11.6%). Variables associated with diabetes were an age between 35 and 49 years (PR = 1.83; 95% CI, 1.19–2.82) or 50 and 65 years (PR = 1.95; 95% CI, 1.17–3.23), hypertension (PR = 4.04; 95% CI, 2.66–6.13), respiratory disease (PR = 1.67; 95% CI, 1.11–2.50), cardiovascular disease (PR = 1.74; 95% CI, 1.15–2.63), and pain/discomfort (PR = 1.71; 95% CI, 1.21–2.41). Conclusion. Diabetes is a prevalent condition in adults living in Brasilia, and disease risk increases with age and comorbidities. Future health policies should focus on screening programs and prevention for the more vulnerable groups.

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Section: Introductionmentioning

confidence: 99%

Prevalence of Self-Reported Diabetes and Its Associated Factors: A Population-Based Study in Brazil

DaMata

Galvão

Pereira

2015

International Journal of Endocrinology

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“…However, in a study that used various biochemical measurements for diagnosis, a higher prevalence of diabetes in men was found [6]. Another study concluded that the western dietary pattern, physical inactivity and genetic factors play a fundamental role in the development of diabetes [13]. Furthermore, it was reported that the incidences of diabetes increase with age, obesity, physical inactivity and unhealthy diet [14] [15].…”

Section: Discussionmentioning

confidence: 99%

Screening of Type 2 Diabetes in the City of Belo Horizonte: Differences between Genders

Couto¹,

Porto²,

Sales³

et al. 2016

OJEMD

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Introduction: Diabetes mellitus is a major public health problem that carries a high social and economic burden. Its diagnosis is unknown in half of individuals who have the disease. The diagnosis of the risk factors should be done in the beginning, since changes in lifestyle and hyperglycemic correction may delay the appearance of the disease and its complications. In this context, screening has been considered an important tool for an early detection of diabetes in asymptomatic adults. Objective: The objective is to track diabetes in people from BH, comparing genders. Patients and methods: People were interviewed with questions concerning the risk factors associated with the development of diabetes. According to the risk factors present, they were classified as non-diabetic [ND], pre-diabetic [PD] or diabetic [DM]. Statistical analyses were performed considering p ≤ 0.05 as significant. Results: 1264 individuals participated (5.5% DM, 6.5% PD, 88.0% ND). When grouped, PD and DM males were more prevalent than PD and DM females. Those in the DM group had higher blood pressure, age, glycaemia, number of past smokers, first-degree relatives with diabetes than either PD or ND. Both males and females in DM and PD groups had a higher waist circumference than did either ND males or females. ND men had a higher intake of fried food and smoked more in the past than ND women. Both ND and PD males had higher blood pressure than women from the same groups. Conclusion: Screening for diabetes is very important for an early diagnosis and to avoid future complications in patients. It's possible to infer that women are more conscientious when it comes to taking care of themselves than men.

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“…In a southeastern Wisconsin population, excess weight gain during childhood was a risk factor for early manifestation of Type 1 diabetes mellitus (Evertsen et al, 2009). In Pennsylvania, researchers found the burden of obesity and diabetes is extensive and growing (Garcia-Dominic et al, 2014). The reason of the expansion of diabetes prevalence due to high obesity prevalence in Northern US is still not well understood from previous studies, so it is necessary to conduct further work in counties vulnerable to diabetes, especially in West North Central and East North Central regions.…”

Section: Articlementioning

confidence: 99%

Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

Staudt

Chien

2016

Geospat Health

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Clinical and epidemiological research has reported a strong association between diabetes and obesity. However, whether increased diabetes prevalence is more likely to appear in areas with increased obesity prevalence has not been thoroughly investigated in the United States (US). The Bayesian structured additive regression model was applied to identify whether counties with higher obesity prevalence are more likely clustered in specific regions in 48 contiguous US states. Prevalence data adopted the small area estimate from the Behavioral Risk Factor Surveillance System. Confounding variables like socioeconomic status adopted data were from the American Community Survey. This study reveals that an increased percentage of relative risk of diabetes was more likely to appear in Southeast, Northeast, Central and South regions. Of counties vulnerable to diabetes, 36.8% had low obesity prevalence, and most of them were located in the Southeast, Central, and South regions. The geographic distribution of counties vulnerable to diabetes expanded to the Southwest, West and Northern regions when obesity prevalence increased. This study also discloses that 7.4% of counties had the largest average in predicted diabetes prevalence compared to the other counties. Their average diabetes prevalence escalated from 8.7% in 2004 to 11.2% in 2011. This study not only identifies counties vulnerable to diabetes due to obesity, but also distinguishes counties in terms of different levels of vulnerability to diabetes. The findings can provide the possibility of establishing targeted surveillance systems to raise awareness of diabetes in those counties.

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Prevalence of Diabetes and Associated Obesity in Pennsylvania Adults, 1995–2010

Cited by 6 publications

References 23 publications

Prevalence of Self-Reported Diabetes and Its Associated Factors: A Population-Based Study in Brazil

Prevalence of Self-Reported Diabetes and Its Associated Factors: A Population-Based Study in Brazil

Screening of Type 2 Diabetes in the City of Belo Horizonte: Differences between Genders

Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

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