Taynara Formagini1,2 *, Joanna Veazey Brooks2,3,4 , Andrew Roberts2,5 , Kai McKeever Bullard6 , Yan Zhang6 , Ryan Saelee6 and Matthew James O'Brien7

1 Department of Family Medicine, University of California San Diego, San Diego, CA, United States,

2 Department of Population Health, University of Kansas School of Medicine, Kansas City, KS, United States, 3University of Kansas Cancer Center, Kansas City, KS, United States, 4Division of Palliative Medicine, University of Kansas School of Medicine, Kansas City, KS, United States, 5Aetion Inc., New York, NY, United States, 6Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, United States, 7 Department of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, United States

Introduction: Racial and ethnic minority groups and individuals with limited educational attainment experience a disproportionate burden of diabetes. Prediabetes represents a high-risk state for developing type 2 diabetes, but most adults with prediabetes are unaware of having the condition. Uncovering whether racial, ethnic, or educational disparities also occur in the prediabetes stage could help inform strategies to support health equity in preventing type 2 diabetes and its complications. We examined the prevalence of prediabetes and prediabetes awareness, with corresponding prevalence ratios according to race, ethnicity, and educational attainment.

Methods: This study was a pooled cross-sectional analysis of the National Health and Nutrition Examination Survey data from 2011 to March 2020. The final sample comprised 10,262 U.S. adults who self-reported being Asian, Black, Hispanic, or White. Prediabetes was defined using hemoglobin A1c and fasting plasma glucose values. Those with prediabetes were classified as “aware” or “unaware” based on survey responses. We calculated prevalence ratios (PR) to assess the relationship between race, ethnicity, and educational attainment with prediabetes and prediabetes awareness, controlling for sociodemographic, health and healthcare-related, and clinical characteristics.

Results: In fully adjusted logistic regression models, Asian, Black, and Hispanic adults had a statistically significant higher risk of prediabetes than White adults (PR:1.26 [1.18,1.35], PR:1.17 [1.08,1.25], and PR:1.10 [1.02,1.19], respectively). Adults completing less than high school and high school had a significantly higher risk of prediabetes compared to those with a college degree (PR:1.14 [1.02,1.26] and PR:1.12 [1.01,1.23], respectively). We also found that Black and Hispanic adults had higher rates of prediabetes awareness in the fully adjusted model than White adults (PR:1.27 [1.07,1.50] and PR:1.33 [1.02,1.72], respectively). The rates of prediabetes awareness were consistently lower among those with less than a high school education relative to individuals who completed college (fully-adjusted model PR:0.66 [0.47,0.92]).

Discussion: Disparities in prediabetes among racial and ethnic minority groups and adults with low educational attainment suggest challenges and opportunities for promoting health equity in high-risk groups and expanding awareness of prediabetes in the United States.

KEYWORDS

prediabetes, prediabetes awareness, diabetes-related disparities, race and ethnicity, educational attainment

Cem Sulu1 , Ipek Pervaz 2 , Turgut Gurer 3 , Dogan Yildiz 2 , Arzu Tas 3 , Ahmet Numan Demir 1 , Serdar Sahin1 , Hande Mefkure Ozkaya1 , Dildar Konukoglu 4 , Abdullah Tuten5 , Taner Damci 1 , Fahrettin Kelestimur 6 and Mustafa Sait Gonen 1*

1 Division of Endocrinology-Metabolism and Diabetes - Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Türkiye,

2Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Türkiye,

3Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Türkiye,

4Department of Biochemistry, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Türkiye,

5 Department of Obstetrics and Gynecology, Cerrahpasa Faculty of Medicine, Istanbul University Cerrahpasa, Istanbul, Türkiye,

6Department of Internal Medicine, Division of Endocrinology and Metabolic Diseases, Faculty of Medicine, Yeditepe University, Istanbul, Türkiye

Objective: To determine rate of polycystic ovary syndrome (PCOS) and its related features in women with prediabetes.

Methods: Of 3465 consecutive women applied between 2021 and 2023, 3218   women with diabetes mellitus or conditions affecting gonadal functions were excluded through digital screening and tele-interviews. Remaining 247 women underwent clinical assessments, excluding another 49 due to other endocrine diseases. The diagnosis of PCOS and prediabetes were based on Rotterdam and American Diabetes Association criteria, respectively.

Results: 100 women had prediabetes and 98 women had normoglycemia. The frequency of PCOS were 17% and 19.4% in prediabetes and control groups, respectively (p=0.715). The frequency of PCOS was 24% (6/25) in women with impaired glucose tolerance (IGT) only, 22.2% (2/9) in women with impaired fasting glucose only, and 15.5% (9/58) in women who met the HbA1C criterion only. Prediabetes group had higher insulin-like growth factor-1 (IGF–1) levels and lower anti-Müllerian hormone (AMH) levels (p<0.05). Insulin was correlated with testosterone, antral follicle count, and ovarian volume only in prediabetes group (p<0.05). Mediation models showed that insulin increased testosterone both directly and indirectly through increasing IGF-1 (b=0.4, p=0.0006).

Conclusion: While the rate of PCOS was not increased in overall prediabetes group, a trend for an increased risk in IGT subgroup only was noteworthy. Positive correlation of insulin with testosterone, antral follicle count, and ovarian volume being only found in prediabetes group suggested that prediabetes might render ovaries susceptible to the PCOS-like changes. The lower AMH in prediabetes implied the toxic effects of even mild hyperglycemia on ovaries.

KEYWORDS

hyperandrogenism, impaired fasting glucose, impaired glucose tolerance, insulin resistance, polycystic ovary syndrome, prediabetes

 Jakob Starup-Linde1,2*

1 Faculty of Health, Aalborg University, Aalborg, Denmark

2 Department of Endocrinology and Internal Medicine, Aarhus University Hospital THG, Aarhus, Denmark

Diabetes mellitus is known to have late complications including micro vascular and macro vascular disease. This review focuses on another possible area of complication regarding diabetes; bone. Diabetes may affect bone via bone structure, bone density, and biochemical markers of bone turnover.The aim of the present review is to examine in vivo from humans on biochemical markers of bone turnover in diabetics compared to non-diabetics. Further more, the effect of glycemic control on bone markers and the similarities and differences of type 1- and type 2-diabetics regarding bone markers will be evaluated. A systematic literature search was conducted using PubMed, Embase, Cinahl, and SveMed+ with the search terms: “Diabetes mellitus,” “Diabetes mellitus type 1,” “Insulin dependent diabetes mellitus,” “Diabetes mellitus type 2,” “Non-insulin dependent diabetes mellitus,” “Bone,” “Bone and Bones,” “Bone diseases,” “Bone turnover,” “Hemoglobin A Glycosylated,” and “HbA1C.” After removing duplicates from this search 1,188 records were screened by title and abstract and 75 records were assessed by full text for inclusion in the review. In the end 43 records were chosen. Bone formation and resorption markers are investigated as well as bone regulating systems. T1D is found to have lower osteocalcin and CTX, while osteo calcin and tartrate-resistant acid are found to be lower in T2D, and sclerostin is increased and collagen turnover markers altered. Other bone turnover markers do not seem to be altered in T1D or T2D. A major problem is the lack of histomorphometric studies in humans linking changes in turnover markers to actual changes in bone turnover and further research is needed to strengthen this link.

Keywords: diabetes mellitus, bone, bone turnover, markers of bone turnover, biochemical markers, glycemic contro

Yan Bing† , Lei Yuan† , Ji Liu† , Zezhong Wang, Lifu Chen*, Jinhai Sun* and Lijuan Liu*

Department of Health Management, Naval Medical University, Shanghai, China

Purpose: To evaluate the overall health status and health-related abilities and problems of elderly patients with diabetes and multimorbidity compared with those with diabetes only. Additionally, we aimed to identify different subgroups of elderly, multimorbid patients with diabetes.

Methods: This cross-sectional study included 538 elderly patients with diabetes. The participants completed a series of questionnaires on self-rated health (SRH), diabetes self-management, self-efficacy, health literacy, depression, and diabetes distress. Differences in health-related abilities and problems were compared between elderly patients with diabetes and multimorbidity and those with diabetes only, with adjustments for covariates using propensity score matching. A cluster analysis was also performed to identify the overall health status subgroups of elderly, multimorbid patients with diabetes. Additionally, we  conducted a multinomial logistic regression analysis to examine the predictors of health related abilities and problem-cluster group membership.

Results: Elderly patients with diabetes and multimorbidity experienced more health-related abilities and problems than those with diabetes only, particularly within the domains of depression (p < 0.001), and diabetes distress. The level of health literacy (p < 0.001) and self-management (p = 0.013) in elderly, multimorbid patients with diabetes was also significantly higher than that in elderly patients with diabetes only. Cluster analysis of elderly, multimorbid patients with diabetes revealed three distinct overall health status clusters. Multinomial logistic regression analysis indicated that age (OR = 1.090, p = 0.043), sex (OR = 0.503, p = 0.024), living situation (OR = 2.769, p = 0.011), BMI (OR = 0.838, p = 0.034), regular exercise (OR = 2.912, p = 0.041 in poor vs. good; OR = 3.510, p < 0.001 in intermediate vs. good), and cerebral infarction (OR = 26.280, p < 0.001) independently and significantly predicted cluster membership.

Conclusion: Compared with elderly patients with diabetes only, those with diabetes and multimorbidity experienced more health-related abilities and problems within the domains of depression, and diabetes distress. Additionally, the level of health literacy and self-management in elderly, multimorbid patients with diabetes was significantly higher than that in those with diabetes only. Among the multimorbid diabetes group, old age, male sex, living without a partner, slightly lower BMIs, not exercising regularly, and experiencing cerebral infarctions were all positively correlated with worse overall health status.

KEYWORDS

multimorbidity, elderly, type 2 diabetes mellitus, overall health status, cluster group predictor