Self-reported Diabetes Status Research Articles

60-PUB: Simultaneous Analysis of Serum Monosaccharides Levels among Adults of Self-Reported Diabetes Status using Non-Derivatized LC-MS/MS Method

60-PUB: Simultaneous Analysis of Serum Monosaccharides Levels among Adults of Self-Reported Diabetes Status using Non-Derivatized LC-MS/MS Method

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

BACKGROUND: As the global burden of diabetes persists, research is needed to understand the role of wealth and correlates of diabetes across regions of the world. The purpose of this study is to examine the prevalence and role of wealth and diabetes across 6 low- and middle- income countries while also accounting for independent correlates of diabetes by country. 
 
 METHODS: Data from the Study on Global Ageing and Adult Health (SAGE), SAGE Wave 1 was used. Self-reported diabetes status was the primary dependent variable and wealth quintile, number of dwelling characteristics and possession of a set of assets, was the independent variable. Logistic regression models examined the relationship between wealth and presence of diabetes across 6 countries with the highest wealth quintile, quintile 1, serving as the reference group. 
 
 RESULTS: Sample size by country included Ghana N = 5573, South Africa N = 4227, Russia N = 4947, Mexico N = 5448, India N = 12198, and China N = 15050. Average age across country ranged from 49 to 63 years of age. Prevalence of diabetes across country included 3.4% and 9.2% for Ghana and South Africa, respectively. In Russia, 8.3%; Mexico, 18.1%; India, 4.9%; and China, 5.9% of the sample reported having diabetes. In the adjusted logistic model, wealth was associated with higher odds of diabetes in Ghana (OR 2.26; CI 1.28; 4.13), South Africa (OR 4.57; CI 2.25; 10.32), Mexico (OR 2.00; CI 1.14; 3.60), India (OR 2.45; CI 1.60; 3.86), and China (OR 2.16; CI 1.62, 2.93). 
 
 CONCLUSIONS: These findings add to the growing body of evidence in our understanding between wealth and diabetes. As diabetes persists as a leading cause of death globally, future work should focus on mechanisms underlying the relationship between wealth and diabetes while also developing interventions to mitigate his burgeoning disease affecting communities across low- and middle-income countries.

ASSOCIATION OF DIABETES WITH BODY COMPOSITION, CARDIORESPIRATORY FITNESS, AND MITOCHONDRIAL ENERGETICS

Abstract We investigated the association of diabetes with cardiorespiratory fitness and skeletal muscle mitochondrial energetics in older adults (N=876, mean age ± SD: 76.3 ± 5.0 yrs.; 59% females) from the Study of Muscle, Mobility and Aging (SOMMA). Participants were grouped by self-reported diabetes status (N=131, with diabetes). Cardiorespiratory fitness (modified Balke protocol), mitochondrial energetics (31P magnetic resonance spectroscopy [31P-MRS] and high resolution respirometry from skeletal muscle biopsy), physical activity (wearable accelerometer) and body composition (magnetic resonance imaging) were measured. Generalized linear regression models were used to calculate means adjusted by age, race, gender, BMI, and co-morbidities. Thigh fat-free muscle volume (p=0.12) and abdominal subcutaneous adipose tissue depot (p=0.15) were similar between those with and without diabetes. However, visceral (18.84%, p>0.01) and intramuscular adipose tissue (6.57%, p=0.02) were higher in older adults with diabetes. VO2peak (-4.79%, p>0.01), and mitochondria energetics measured by ATPmax (-5.10%, p=0.04), maximum complex I+II carbohydrate (maxOXPHOSCHO) (-6.67%, p=0.02) and fatty acid (maxOXPHOSFAO) (-8.70%, p=0.01) stimulated respiration were lower in those with diabetes compared to those without. Following further adjustments for both physical activity and visceral adiposity, revealed that only VO2peak (-4.65%, p>0.01) and maxOXPHOSFAO (-7.38%, p=0.02) remained significantly lower in older adults with diabetes. Overall, our data suggests that cardiorespiratory fitness and skeletal muscle mitochondria energetics are reduced in older adults with diabetes, independent of visceral adiposity and physical activity.

Exploring Sexual Orientation Disparities Regarding the Interplay of Childhood Sexual Abuse, Self-Reported Diabetes Status, and Depression Among Adults in the United States

ABSTRACT Previous research has revealed a strong link between the experience of childhood sexual abuse (CSA) and diabetes in adulthood. Moreover, research has shown that sexual minorities (SM) are exposed to adverse childhood experiences (ACEs) (i.e. CSA) and experience depression at higher rates than their heterosexual counterparts. Thus, it is imperative to further investigate the role of depression and the differential associations of exposure to ACEs with diabetes prevalence by sexual orientation. We explored sexual orientation disparities regarding the relationship between CSA and diabetes and examined the moderating role of depression. A total of 29,903 participants from the 2021 Behavioral Risk Factor Surveillance System (BRFSS) were included in this study. Secondary data analysis was conducted using the survey data, and weighted logistic regression and moderation analysis were performed. Heterosexuals who experienced CSA (AOR = 1.25; p < .05) and SM who experienced CSA (AOR = 2.13; p < .05) reported higher odds of having diabetes. Among heterosexuals, depression (AOR = 1.38; p < .001) was significantly associated with having diabetes. Additionally, depression was a significant moderator among heterosexuals with and without CSA. Further understanding of the impact of ACEs on diabetes among specific subgroups of SM should be assessed in future studies.

Strikes and Gutters: Biomarkers and anthropometric measures for predicting diagnosed diabetes mellitus in adults in low- and middle-income countries

BackgroundThe management of diabetes necessitates the requirement of reliable health indices, specifically biomarkers and anthropometric measures, to detect the presence or absence of the disease. Nevertheless, limited robust empirical evidence exists regarding the optimal metrics for predicting diabetes in adults, particularly within low- and middle-income countries. This study investigates objective and subjective indices for screening diabetes in these countries. Methods: Data for this study was sourced from surveys conducted among adults (aged 18 years and above) in seventeen (17) countries. Self-reported diabetes status, fifty-four biomarkers, and twenty-six core and twenty-eight estimated anthropometric indices, including weight, waist circumference, body mass index, glycaemic triglycerides, and fasting blood glucose, were utilised to construct lasso regression models. Results: The study revealed variances in diabetes prediction outcomes across different countries. Central adiposity measures, fasting plasma glucose and glycaemic triglycerides demonstrated superior predictive capabilities for diabetes when compared to body mass index. Furthermore, fasting plasma or blood glucose, serving as a biomarker, emerged as the most accurate predictor of diabetes. Conclusions: These findings offer critical insights into both general and context-specific tools for diabetes screening. The study proposes that fasting plasma glucose and central adiposity indices should be considered as routine screening tools for diabetes, both in policy interventions and clinical practice. By identifying adults with or at higher risk of developing diabetes and implementing appropriate interventions, these screening tools possess the potential to mitigate diabetes-related complications in low- and middle-income countries.

Disparities in Eye Care Utilization by Self-Reported Vision Difficulty and Diabetes Status in the United States

ABSTRACT Purpose To assess differences in eye care utilization by vision difficulty (VD), diabetes status, and sociodemographic characteristics for American adults. Methods The analysis pooled cross-sectional data from the National Health Interview Survey (2010–2018) from US adults ≥ 18 years. The outcome measure was eye care utilization in the past year. The primary independent variable included four groups: no VD or diabetes, only diabetes, only VD, and diabetes and VD. VD was defined as self-reported difficulty seeing even with glasses or contacts. Diabetic status was defined as ever receiving this diagnosis by a health professional. Multivariable logistic regression analyses examined associations between eye care utilization, VD, diabetic status, and sociodemographic characteristics. Results Of the 284,599 adults included in this study, the majority were female (55%), White (73%), and non-Hispanic (84%). In regression analysis, as compared to adults without diabetes or VD, adults with both diabetes and VD had the greatest utilization (OR = 2.49, 99% CI = 2.18–2.85). Females had higher utilization than men (OR = 1.45, 99% CI = 1.41–1.50). Higher levels of education was associated with greater utilization (OR = 1.82, 99% CI = 1.72–1.92). White and American Indian adults without diabetes had higher utilization compared to other races (OR = 1.17, 99% CI = 1.12–1.24, 0.98–1.39). Conclusion While adults with VD and diabetes are better connected to eye care, significant eye care disparities persist for marginalized groups in the U.S. Identifying and understanding these disparities and eliminating barriers to care is critical to better support all patient populations.

Joint Association of Diabetes and Physical Activity With Falls Among Midlife and Older Adults: 2018 Behavioral Risk Factor Surveillance System.

We examined joint associations of diabetes and physical activity (PA) with falls. Complex survey (cross-sectional) design using the 2018 Behavioral Risk Factor Surveillance System (Response rate was 53% (landline phones) and 46% (cellular phones)). National survey in the U.S. Adults ≥45years who self-reported diabetes status, PA, and falls (n = 295,282; 98.5% of eligible samples; N = 130,103,093) were classified into 4 groups: no diabetes-PA, no diabetes-no PA, diabetes-PA, diabetes-no PA. Self-reported PA, diabetes, falls, and major health characteristics. Poisson regression models were used to estimate the association of groups with any (≥1 fall) falls. Compared to no diabetes-active groups, no diabetes-inactive (Relative Risk (RR) = 1.22; 95% CI: 1.18, 1.26), diabetes-active (RR = 1.25; 95% CI: 1.20, 1.30), and diabetes-inactive (RR = 1.46; 95% CI: 1.41, 1.51) groups were more likely to report falls, independent of tested covariates. Leisure-time PA may mitigate the likelihood of falls in adults with and without diabetes. Our findings could be useful for healthcare providers or clinicians to promote the importance of PA in midlife and older adults who are at risk of falls and/or diabetes. More detailed longitudinal information on objectively-estimated PA and a more frequent fall calendar are warranted to prevent recall bias and temporal ambiguity (causality between PA and falls).

Thiazolidinedione use and retinal fluid in the comparison of age-related macular degeneration treatments trials

BackgroundThiazolidinediones, commonly used antidiabetic medications, have been associated with an increased risk of development of diabetic macular oedema and increased vascular endothelial cell permeability. Macular neovascularisation in age-related macular degeneration...

Disparities in Cervical Cancer Screening with HPV Test among Females with Diabetes in the Deep South.

Simple SummaryDiabetes is linked with poorer cervical cancer prognosis, and people residing in the Southern region of the U.S. are disproportionately diagnosed with diabetes and cancer. The HPV test was recently recognized as the preferred method of cervical cancer screening by the American Cancer Society. Through our observational study, we sought to investigate the HPV testing behaviors among females with and without diabetes across the U.S. Our nationally representative estimates reveal that less than half of females reported HPV testing, and females with diabetes in the Deep South have the lowest rates of HPV testing. Various risk factors were identified to significantly lower the odds of HPV testing, including a diabetes diagnosis, older age, living in the Southern region of the U.S., and absence of certain comorbidities. The lower rates of HPV testing among females with diabetes, especially those living in the Deep South, leave these populations vulnerable to cervical cancer.Background: Due to diabetes being linked with poorer cervical cancer prognosis, this study aimed to evaluate HPV testing behaviors among females with and without diabetes across the U.S. by geographic area in 2016, 2018, and 2020. Methods: This cross-sectional study used the Behavioral Risk Factor Surveillance System (BRFSS) from 2016, 2018, and 2020. The study population included females aged 25–69 years old, stratified by self-reported diabetes status. The primary outcome measure was cervical cancer screening behavior, which was evaluated by self-reported HPV test uptake/receipt (yes/no). Results: A total of 361,546 females from across the U.S. were sampled. Within the study population combined from all study years, the overall likelihood of receiving an HPV test was significantly lower among females with diabetes [37.95% (95% CI: 36.87–39.04)] compared to those without diabetes [46.21% (95% CI: 45.84–46.58)] (p < 0.001). Screening rates with HPV tests were lowest among females with diabetes in the South in 2016 (29.32% (95% CI: 26.82–31.83)), 2018 (39.63% (95% CI: 36.30–42.96)), and 2020 (41.02% (95% CI: 37.60–44.45)). Conclusions: Females with diabetes are screening with HPV tests less frequently than females without diabetes, and females living in the South, particularly states in the Deep South, report the lowest rates of HPV testing.

Relationships Between Family History and Self-Reported Diabetes Status and Alzheimer’s Disease Warning Signs

Abstract Objectives To determine whether familial history is linked for Alzheimer's disease (AD) and diabetes, and examine if a relationship exists between years since diagnosis and understanding of diabetes management and blood glucose testing. Methods Adults aged fifty and older were asked to complete a survey that included family history of diabetes and AD. The survey asked respondents to self-identify diabetes status, their understanding of diabetes management, and the frequency of their blood sugar monitoring. Surveys were distributed in person and online via social media and email. Data were entered into SPSS 26, and Pearson correlations were run to determine whether a significant relationship was present between the variables of interest. Results There was not a significant relationship between the number of blood relatives with AD and the number of relatives with diabetes (r = 0.140, P = 0.226), but a weak between the total number of relatives with diabetes and self-reported diabetes status (r = 0.278, P = 0.003). While there was not a significant relationship between years since diabetes diagnosis and self-rated understanding of diabetes management (r = 0.197, P = 0.325), there was a strong relationship between years since diagnosis and total number of blood sugar tests taken per week (r = 0.565, P = 0.004). Conclusions The relationship between number of relatives with diabetes and having diabetes oneself is in line with previous research. Additionally, while diabetics monitor their blood sugar more closely as time goes by, Future efforts are needed to inform diabetics about best practices for blood glucose management. Funding Sources None.

Geographic Variation and Associated Covariates of Diabetes Prevalence in India

Diabetes is a severe metabolic disorder affecting human health worldwide, with increasing prevalence in low- and middle-income countries. Gaps in knowledge regarding factors that lead to diabetes and its association with tuberculosis (TB) endemicity at the national scale still exist, mainly because of the lack of large-scale dual testing and appropriate evaluation methods. To identify locations in India where diabetes prevalence is concentrated, examine the association of diabetes with sociodemographic and behavioral covariates, and uncover where high regional TB endemicity overlaps with diabetes. This cross-sectional study included 803 164 men aged 15 to 54 years and women aged 15 to 49 years who participated in the Demographic Health Survey (2015-2016), carried out by the India Ministry of Health and Family Welfare using a 2-stage clustered sampling, which included a diabetes estimation component. The survey was conducted from January 2015 to December 2016, and data analysis was conducted from July 2018 to January 2019. Self-reported diabetes status. Self-reported diabetes status was used to estimate the association of covariates, including educational level, sex, age, religion, marital status, alcohol use, tobacco use, obesity status, and household socioeconomic level, with diabetes prevalence. Additionally, regional tuberculosis endemicity level, estimated using the India TB report for 2014 from the Revised National TB Program, was included to evaluate the national extent of the spatial overlap of diabetes and TB. Among 803 164 sampled individuals (691 982 [86.2%] women; mean [SD] age, 30.09 [9.97] years), substantial geographic variation in diabetes prevalence in India was found, with a concentrated burden at the southern coastline (cluster 1, Andhra Pradesh and Telangana: prevalence, 3.01% [1864 of 61 948 individuals]; cluster 2, Tamil Nadup and Kerala: prevalence, 4.32% [3429 of 79 435 individuals]; cluster 3, east Orissa: prevalence, 2.81% [330 of 11 758 individuals]; cluster 4, Goa: prevalence, 4.43% [83 of 1883 individuals]). Having obesity and overweight (odds ratio [OR], 2.44; 95% CI, 2.18-2.73; P < .001; OR, 1.66; 95% CI, 1.52-1.82; P < .001, respectively), smoking tobacco (OR, 3.04; 95% CI, 1.66-5.56; P < .001), and consuming alcohol (OR, 2.01; 95% CI, 1.37-2.95; P < .001) were associated with increased odds of diabetes. Regional TB endemicity and diabetes spatial distributions showed that there is a lack of consistent geographical overlap between these 2 diseases (eg, TB cluster 4: 60 213 TB cases; 186.79 diabetes cases in 20 183.88 individuals; 0.93% diabetes prevalence; TB cluster 8: 47 381 TB cases; 180.53 diabetes cases in 22 449.18 individuals; 0.80% diabetes prevalence; TB cluster 9: 37 620 TB cases, 601.45 diabetes cases in 12 879.36 individuals; 4.67% diabetes prevalence). In this study, identifying spatial clusters of diabetes on the basis of a nationally representative survey suggests that India may face different levels of disease severity, and each region might need to implement control strategies that are more appropriate for its unique epidemiologic context.

Prevalence of gestational diabetes according to commonly used data sources: an observational study

BackgroundIt is well recognized that prevalence of gestational diabetes mellitus (GDM) varies depending on the population studied and the diagnostic criteria used. The data source used also can lead to substantial differences in the reporting of GDM prevalence but is considered less frequently. Accurate estimation of GDM prevalence is important for service planning and evaluation, policy development, and research. We aimed to determine the prevalence of GDM in a cohort of New Zealand women using a variety of data sources and to evaluate the agreement between different data sources.MethodsA retrospective analysis of prospectively collected data from the Growing Up in New Zealand Study, consisting of a cohort of 6822 pregnant women residing in a geographical area defined by three regional health boards in New Zealand. Prevalence of GDM was estimated using four commonly used data sources. Coded clinical data on diabetes status were collected from regional health boards and the Ministry of Health’s National Minimum Dataset, plasma glucose results were collected from laboratories servicing the recruitment catchment area and coded according to the New Zealand Society for the Study of Diabetes diagnostic criteria, and self-reported diabetes status collected via interview administered questionnaires. Agreement between data sources was calculated using the proportion of agreement with 95% confidence intervals for both a positive and negative diagnosis of GDM.ResultsPrevalence of GDM combining data from all sources in the Growing Up in New Zealand cohort was 6.2%. Estimates varied from 3.8 to 6.9% depending on the data source. The proportion of agreement between data sources for presence of GDM was 0.70 (95% CI 0.65, 0.75). A third of women who had a diagnosis of GDM according to medical data reported having no diabetes in interview administered questionnaires.ConclusionPrevalence of GDM varies considerably depending on the data source used. Health services need to be aware of this and to understand the limitations of local data sources to ensure service planning and evaluation, policy development and research are appropriate for the local prevalence. Improved communication of the diagnosis may assist women’s self-management of GDM.

Does a Rise in Bmi Causes An Increased Risk of Diabetes?: Evidence from India

Overnutrition increases the risk of diabetes. Evidence on the causal impact of overnutrition on diabetes is scarce for India. Considering a representative sample from India, this study examines the causal effect of a rise in the Body Mass Index (BMI) of an individual on the likelihood of being diabetic. The study also addresses the issue of unobserved endogeneity while estimating the causal relationship. The study considers individual level data from Demographic and Health Surveys (DHS) of India, namely, National Family Health Survey (NFHS) for the year 2015-16. We instrument BMI of the individual by BMI of a non-biologically related household member. Ordered Probit, Probit and IV-Probit models are estimated using two alternative definitions for measuring diabetes – blood glucose levels (ordinal measure) and self-reported diabetes status. The results show that the likelihood of being diabetic is twice or more among the overweight and obese individuals as compared to the non-overweight individuals. We also find that the level of risk of being prediabetic and diabetic differs across gender, wealth quintiles and regions and the effects are more severe among population in the urban areas, belonging to the richest wealth quintile and men. Future studies may investigate the effect of abdominal obesity on diabetes.

Neighbourhood built environments as correlates of hospital burden and premature mortality in Canada

IntroductionThe built environment can shape modifiable risk factors such as obesity, poor diet, and physical inactivity, and could be a policy lever for the reduction of chronic disease. In Canada, the health care costs related to chronic disease continue to rise and there have been few policy options offered.&#x0D; Objectives and ApproachWe examine the role of the built environment in hospital burden and premature mortality, with an emphasis on one of the highest burden diseases, Type 2 Diabetes (T2D). Neighbourhood built environment measures for active living were derived using geographic information systems for respondents of the Canadian Community Health Survey, for whom we have linked hospitalization and mortality records. A combination of ICD codes, self-reported diabetes status, as well as a population-based algorithm identifying those at higher risk of developing diabetes were used to identify cases. Differences in hospitalization frequency, cumulative length of stay, and mortality are investigated.&#x0D; ResultsOver half a million hospitalization records were identified in our cohort of roughly 450,000 survey respondents. Key factors such as age, gender, race, and socioeconomic status are accounted for in modelling the association between neighborhood environment and hospitalization. Hospital burden and mortality in T2D patients are much higher than that of patients who do not report having the condition, and those at elevated risk of T2D display intermediate levels of hospitalization. Two-part hurdle models show evidence of an association between more walkable neighborhoods and lower hospitalization risk in non-T2D patients as well as those at elevated risk of developing T2D. The relationship between neighborhoods and the volume of chronic-disease related episodes as well as mortality is unclear, and under further investigation.&#x0D; Conclusion/ImplicationsElucidating the role of neighbourhood built environments on hospital burden and premature mortality for individuals with diabetes will provide insight as to the full range of clinical and non-clinical interventions that could feasibly address the needs of some the highest health care system users.

Use of point-of-care HbA1c measurement to estimate the level of undiagnosed diabetes mellitus among 67-year-old participants in a cardiovascular screening programme in the municipality of Viborg, Denmark.

To determine the prevalence of unidentified diabetes mellitus among 67-year-olds in Denmark participating in a screening programme focusing on cardiovascular disease and diabetes, and to describe glycaemic levels in individuals according to point-of-care HbA1c combined with self-reported diabetes status. In this cross-sectional, retrospective, population-based study, all people aged 67 years living in the Viborg municipality were invited to take part in the Viborg Inter-sectorial Screening Programme (VISP), which focuses on cardiovascular disease and diabetes. The VISP study was initiated in August 2014 and is ongoing. During the first 2 years of the programme, we stratified participants into groups based on their self-reported diabetes status and a single HbA1c measurement. A total of 1802 individuals were invited to participate, and 1501 consented, seven of whom were excluded because of missing data (HbA1c or diabetes status), resulting in an 82.9% participation rate (n=1494). Among those reporting not to have diabetes, 3.3% (n=45) had an HbA1c level ≥48 mmol/mol (6.5%). In the same group, 16.7% (n=226) had an HbA1c level of 41-48 mmol/mol (5.9-6.5%). Among those self-reporting the presence of diabetes, 30.1% (n=43) had an HbA1c level ≥58 mmol/mol (7.5%). The prevalence of unidentified diabetes was 3.3% based on a single HbA1c measurement. Furthermore, 16.7% of those reporting not to have diabetes had an HbA1c level of 41-48 mmol/mol (5.9-6.5%), representing a subgroup with an increased risk of developing diabetes. Among those with self-reported diabetes, 30.1% had an HbA1c level ≥58 mmol/mol (7.5%) and 6.3% had a level >74 mmol/mol (8.9%).

Diet-Quality and Socio-Demographic Factors Associated with Non-Nutritive Sweetener Use in the Australian Population.

Non-nutritive sweeteners (NNS) are used in the food supply to replace sugar and/or to reduce dietary energy intake. The aim of this research was to assess the consumption prevalence and food sources of NNS in the Australian population. Food group and nutrient intakes were assessed to compare diet quality of NNS consumers and non-consumers. Secondary analysis of the Australian National Nutrition and Physical Activity Survey, 2011/12 was conducted (n = 12,435) after identifying all NNS products consumed in the population. The proportion of participants that reported intake of NNS per day was 18.2% for adults (19+ years), and 8.5% for children (2–18 years), with the most common food sources being carbonated soft drinks, tabletop sweeteners, and yoghurt. Characteristics associated with NNS consumption in adults included being female, higher body mass index (BMI), self-reported diabetes status, and being on a weight-loss diet. For adults, NNS consumers had lower free sugar intake but energy intake did not differ from non-consumers. However, for children, no differences in free sugar or energy intake were observed between consumers and non-consumers. While these results support the use of NNS in reducing sugar intake, these data suggest compensatory increases in energy intake may occur.

Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000-2006.

BackgroundMonitoring national mortality among persons with a disease is important to guide and evaluate progress in disease control and prevention. However, a method to estimate nationally representative annual mortality among persons with and without diabetes in the United States does not currently exist. The aim of this study is to demonstrate use of weighted discrete Poisson regression on national survey mortality follow-up data to estimate annual mortality rates among adults with diabetes.MethodsTo estimate mortality among US adults with diabetes, we applied a weighted discrete time-to-event Poisson regression approach with post-stratification adjustment to national survey data. Adult participants aged 18 or older with and without diabetes in the National Health Interview Survey 1997–2004 were followed up through 2006 for mortality status. We estimated mortality among all US adults, and by self-reported diabetes status at baseline. The time-varying covariates used were age and calendar year. Mortality among all US adults was validated using direct estimates from the National Vital Statistics System (NVSS).ResultsUsing our approach, annual all-cause mortality among all US adults ranged from 8.8 deaths per 1,000 person-years (95% confidence interval [CI]: 8.0, 9.6) in year 2000 to 7.9 (95% CI: 7.6, 8.3) in year 2006. By comparison, the NVSS estimates ranged from 8.6 to 7.9 (correlation = 0.94). All-cause mortality among persons with diabetes decreased from 35.7 (95% CI: 28.4, 42.9) in 2000 to 31.8 (95% CI: 28.5, 35.1) in 2006. After adjusting for age, sex, and race/ethnicity, persons with diabetes had 2.1 (95% CI: 2.01, 2.26) times the risk of death of those without diabetes.ConclusionPeriod-specific national mortality can be estimated for people with and without a chronic condition using national surveys with mortality follow-up and a discrete time-to-event Poisson regression approach with post-stratification adjustment.

Acculturation and Diabetes Risk in the Mexican American Mano a Mano Cohort.

To investigate the association between acculturation and diabetes risk in the Mexican American Mano a Mano (hand to hand) Cohort. We recruited 15 975 men and women in the Houston, Texas, area from 2001 to 2014. We used language use, birth country, and duration of US residence (among Mexico-born) to assess acculturation. Participants self-reported a physician's diagnosis of diabetes during annual follow-up over an average of 5.4 (range = 1-13) years. Self-reported diabetes status was validated in medical records for a subset of 235 participants with 98% agreement. Diabetes risk was higher among immigrants with 15 to 19, 20 to 24, and 25 or more years (relative risk = 1.47; 95% confidence interval = 1.07, 2.01) of US residence, relative to those with less than 5 years. Neither language acculturation nor birth country was significantly associated with diabetes risk. Among participants born in Mexico, diabetes risk increased with longer duration of US residence.

Consumption of soft drinks and juices and risk of liver and biliary tract cancers in a European cohort.

The aim of the study was to assess associations between intake of combined soft drinks (sugar sweetened and artificially sweetened) and fruit and vegetable juices and the risk of hepatocellular carcinoma (HCC), intrahepatic bile duct (IHBC) and biliary tract cancers (GBTC) using data from the European Prospective Investigation into Cancer and Nutrition cohort of 477,206 participants from 10 European countries. After 11.4 years of follow-up, 191 HCC, 66 IHBC and 236 GBTC cases were identified. Hazard ratios and 95% confidence intervals (HR; 95% CI) were estimated with Cox regression models with multivariable adjustment (baseline total energy intake, alcohol consumption and intake pattern, body mass index, physical activity, level of educational attainment and self-reported diabetes status). No risk associations were observed for IHBC or GBTC. Combined soft drinks consumption of >6 servings/week was positively associated with HCC risk: HR 1.83; 95% CI 1.11-3.02, p trend = 0.01 versus non-consumers. In sub-group analyses available for 91% of the cohort artificially sweetened soft drinks increased HCC risk by 6% per 1 serving increment (HR 1.06, 95% CI 1.03-1.09, n cases = 101); for sugar-sweetened soft drinks, this association was null (HR 1.00, 95% CI 0.95-1.06; n cases = 127, p heterogeneity = 0.07). Juice consumption was not associated with HCC risk, except at very low intakes (<1 serving/week: HR 0.60; 95% CI 0.38-0.95; p trend = 0.02 vs. non-consumers). Daily intake of combined soft drinks is positively associated with HCC, but a differential association between sugar and artificially sweetened cannot be discounted. This study provides some insight into possible associations of HCC with sugary drinks intake. Further exploration in other settings is required.

Type of vegetarian diet, obesity and diabetes in adult Indian population.

BackgroundTo investigate the prevalence of obesity and diabetes among adult men and women in India consuming different types of vegetarian diets compared with those consuming non-vegetarian diets.MethodsWe used cross-sectional data of 156,317 adults aged 20–49 years who participated in India’s third National Family Health Survey (2005–06). Association between types of vegetarian diet (vegan, lacto-vegetarian, lacto-ovo vegetarian, pesco-vegetarian, semi-vegetarian and non-vegetarian) and self-reported diabetes status and measured body mass index (BMI) were estimated using multivariable logistic regression adjusting for age, gender, education, household wealth, rural/urban residence, religion, caste, smoking, alcohol use, and television watching.ResultsMean BMI was lowest in pesco-vegetarians (20.3 kg/m2) and vegans (20.5 kg/m2) and highest in lacto-ovo vegetarian (21.0 kg/m2) and lacto-vegetarian (21.2 kg/m2) diets. Prevalence of diabetes varied from 0.9% (95% CI: 0.8-1.1) in person consuming lacto-vegetarian, lacto-ovo vegetarian (95% CI:0.6-1.3) and semi-vegetarian (95% CI:0.7-1.1) diets and was highest in those persons consuming a pesco-vegetarian diet (1.4%; 95% CI:1.0-2.0). Consumption of a lacto- (OR:0.67;95% CI:0.58-0.76;p < 0.01), lacto-ovo (OR:0.70; 95% CI:0.51-0.96;p = 0.03) and semi-vegetarian (OR:0.77; 95% CI:0.60-0.98; p = 0.03) diet was associated with a lower likelihood of diabetes than a non-vegetarian diet in the adjusted analyses.ConclusionsIn this large, nationally representative sample of Indian adults, lacto-, lacto-ovo and semi-vegetarian diets were associated with a lower likelihood of diabetes. These findings may assist in the development of interventions to address the growing burden of overweight/obesity and diabetes in Indian population. However, prospective studies with better measures of dietary intake and clinical measures of diabetes are needed to clarify this relationship.