Overweight and Obesity in People Living With Type 1 Diabetes: A Cross-Sectional Analysis of the BETTER Registry.

AIMS: The prevalence and associations of overweight and obesity in Canadian adult people living with type 1 diabetes (PWT1D) are poorly documented. In a cohort of PWT1D patients, this study assesses (i) overweight and obesity frequencies and associated PWT1D clinicodemographic characteristics, (ii) diabetes characteristics, and (iii) the use of noninsulin adjunctive agents. MATERIALS AND METHODS: Cross-sectional analysis of self-reported data from the BETTER registry: 1091 adult PWT1D (aged 44.4 ± 15.0 years; 32% HbA1c<7% [53 mmol/mol]) classified by BMI classes: underweight combined with normal weight, overweight, or obesity. Bivariate analyses were used to identify associations between BMI classes, diabetes characteristics, complications, and treatments. RESULTS: Overweight and obesity affected 34.6% and 19.8% of participants. Compared to underweight + normal weight, PWT1D with overweight/obesity was associated with male sex, higher age, lower education level, longer diabetes duration, and higher total insulin doses and use of cardiorenal therapies (all p < 0.001). Compared to other PWT1D, those living with obesity reported higher HbA1c (p < 0.05), less frequent hypoglycemia (p < 0.05), more cardiovascular diseases (p < 0.003), retinopathy, neuropathy, depression treatment as well as noninsulin adjunctive agent use (all p < 0.001). Logistic regression showed that living with overweight/obesity was associated with male sex, being treated for cardiorenal therapies, depression, diabetes duration, and total daily insulin doses. CONCLUSIONS: Overweight or obesity affects over half of adult PWT1D in the Canadian BETTER registry and is associated with higher HbA1c levels, higher total daily insulin doses, more chronic diabetes complications and noninsulin adjunctive agent use, a worse cardiometabolic profile, and lower hypoglycemia frequency.

Comparison of Three Methods for LDLC Calculation for Cardiovascular Disease Risk Categorisation in Three Distinct Patient Populations.

BACKGROUND: Limitations of the Friedewald equation for low-density-lipoprotein cholesterol (F-LDLC) calculation led to the Martin-Hopkins (M-LDLC) and Sampson-National Institutes of Health (S-LDLC) equations. We studied these newer calculations of LDLC for correlation and discordance for stratification into the Canadian Cardiovascular Society (CCS) 2021 Dyslipidemia Guidelines' cardiovascular disease (CVD) risk categories. METHODS: We performed analyses on lipid profiles from 3 populations: records of a hospital biochemistry laboratory (population 1), lipid clinic patients without select monogenic dyslipidemias (population 2A), and lipid clinic patients with familial hypercholesterolemia (FH; population 2B). RESULTS: There was very strong correlation among the 3 calculated LDLC. In populations 1 and 2A, M-LDLC and S-LDLC were progressively higher than F-LDLC as triglyceride (TG) levels increased from normal to ∼ 5 mmol/L. In population 2B, M-LDLC was higher than F-LDLC, but S-LDLC was progressively lower than F-LDLC. Using the CCS 2021 guidelines' 4 CVD risk categories, 7.0% (population 2A) to 7.2% (population 1) of cases for M-LDLC vs F-LDLC and 3.9% (population 2A) to 4.4% (population 1) of cases for S-LDLC vs F-LDLC were reclassified to an adjacent CVD risk category, mostly from a lower to a higher risk category. CONCLUSIONS: Switching from F-LDLC to S-LDLC or M-LDLC can reclassify up to ∼ 4.4% or 7.2% of patients, respectively, to another CCS CVD risk category. The difference between F-LDLC and M-LDLC or S-LDLC is greater with higher TG, and with lower LDLC. We recommend that clinical laboratories switch to reporting results from either M-LDLC or S-LDLC, but S-LDLC should not be used in FH patients, pending further studies.

A More Atherogenic Lipoprotein Status Is Present in Adults With Type 2 Diabetes Mellitus Than in Those Without With Equivalent Degrees of Hypertriglyceridemia.

OBJECTIVES: The impact of type 2 diabetes (T2DM) on biomarkers denoting lipoprotein compositional status was studied in mild and moderate hypertriglyceridemia (HTG). Diabetic dyslipidemia pathophysiology could contribute to differences in lipoprotein compositional status, which could be reflected in the preferred cardiovascular disease risk prediction markers in HTG: non-high-density lipoprotein cholesterol (non-HDLC) and apolipoprotein B (apoB). METHODS: A total of 2,775 fasting lipid profiles from a tertiary care lipid clinic were analyzed as 2 subgroups (with and without T2DM), stratified by triglyceride (TG) levels: normotriglyceridemia (TG 0.01 to 1.7 mmol/L), mild HTG (TG 1.71 to 5 mmol/L) and moderate HTG (TG 5.01 to 10 mmol/L). The mean non-HDLC:apoB ratio in each TG stratum and subgroup was analyzed. We also used linear regression to assess the correlation between non-HDLC and apoB. RESULTS: The mean non-HDLC:apoB ratio was increased in both subgroups in patients with mild and moderate HTG, compared to those with normotriglyceridemia. In moderate HTG, the mean non-HDLC:apoB ratio in the subgroup with T2DM was significantly lower than the subgroup without T2DM. In mild and moderate HTG, the subgroup with T2DM had a stronger correlation between non-HDLC and apoB than did the subgroup without T2DM. DISCUSSION AND CONCLUSIONS: In mild and moderate HTG, adults with T2DM exhibit lipid profiles that represent a different and more atherogenic lipoprotein compositional status, when compared with adults without T2DM. For the same severity of HTG, the lipoprotein compositional status in diabetic dyslipidemia suggests that there is increased abundance of smaller non-HDL particles and their remnants, which are highly atherogenic.

Fatalistic Beliefs and Migration Behaviors: A Study of Ideational Demography in Nepal.

We investigate influences of fatalistic beliefs on domestic and international migration in Nepal, positing that fatalistic beliefs may affect decisions to migrate and where to locate. Fatalism is the belief that human outcomes are preordained by forces outside of one's power and control. Because of its relationship with effort and innovation, fatalism may be an important factor in people's decision to migrate and destination choice. We expect that fatalistic beliefs encourage or discourage migration depending upon societal expectations to migrate and the relative ease of migration to different destinations. Our empirical analysis relies on migration histories of respondents from the Chitwan Valley Family Study. Results from multinomial logistic regression models provide evidence that fatalistic beliefs increase overall migration propensity and has both positive and negative destination-specific effects. Fatalistic beliefs increase Nepalis' odds of migrating to destinations that are, relatively speaking, easier to access, but decrease the odds of migrating to destinations with higher barriers to entry.

Relative effect of hypertriglyceridemia on non-HDLC and apolipoprotein B as cardiovascular disease risk markers.

BACKGROUND: Non-high density lipoprotein cholesterol (non-HDLC) represents the cholesterol in triglyceride-rich lipoproteins (TRL) and low-density lipoproteins (LDL). Apolipoprotein B (apoB) reflects the number of TRL and LDL particles. In hypertriglyceridemia (HTG), there is triglyceride (TG) enrichment of TRLs, and also a substantial increase of cholesterol in larger TRLs that considerably augments the non-HDLC value. Therefore, in HTG, non-HDLC could increase disproportionately with respect to apoB. OBJECTIVE: We aimed to compare the relative effect of the full range of mild, moderate, and severe HTG on the status of non-HDLC and apoB as cardiovascular disease (CVD) risk markers. METHODS: Analysis of lipid profile data from 4347 patients in a Lipid Clinic cohort with baseline fasting lipid profiles documented prior to starting lipid-lowering medications. The correlation between non-HDLC and apoB was assessed in intervals of increasing TG. Non-HDLC and apoB were analyzed at each TG level using comparative CVD risk equivalent categories and assessed for divergence and discordance. RESULTS: With increasing TG levels: (1) the correlation between non-HDLC and apoB diminished progressively, (2) non-HDLC levels increased continuously, whereas apoB levels plateaued after an initial increase up to TG of ~ 4.0-5.0 mmol/L (~354-443 mg/dL), (3) there was divergence in the stratification of non-HDLC and apoB into CVD risk equivalent categories. CONCLUSIONS: Non-HDLC and apoB should not be viewed as interchangeable CVD risk markers in the presence of severe HTG. This has never been tested. With increasing HTG severity, discordance between non-HDLC and apoB can cause clinically important divergence in CVD risk categorization.

Ethno-Caste Influences on Migration Rates and Destinations.

While studies commonly show differences in out-migration between ethnic groups, ethnicity most often features no more than a side note in the emigration literature, and we have very little insight about why people from different ethnic groups migrate at different rates. Understanding ethnic differences in migration rates and destination choice has important implications for the present-day and future potential for either dampening or exacerbating ethnic discrimination and opportunity structures. Building on existing migration theory, we identify three possible mechanisms through which ethnicity might influence out-migration rates and destination choice: human and economic capital, contemporary discrimination, and historical legacies that are perpetuated through social networks. Our empirical investigation uses longitudinal panel survey data from Nepal and we find that all three of these mechanisms likely influence out-migration and destinations of the five major ethno-caste groups. However, we show that historical legacy and human and economic capital emerge as the key drivers of ethnic differences in out-migration here. We discuss what these results mean for migration studies as well as the potential for the institution of migration to affect patterns of ethno-caste-based disadvantage in Nepal. The theoretical basis and empirical evidence from our study also suggest ways to understand the reasoning for and consequence of ethnic and racial differentials in migration patterns in other areas of the world.

Calculated Non-HDL Cholesterol Includes Cholesterol in Larger Triglyceride-Rich Lipoproteins in Hypertriglyceridemia.

CONTEXT: Calculated non-high-density lipoprotein (HDL) cholesterol (non-HDLC) should selectively include cholesterol from atherogenic lipoproteins to be a reliable risk marker of cardiovascular disease. In hypertriglyceridemia (HTG), there is increased abundance of larger and less atherogenic triglyceride-rich lipoproteins (TRL), namely, larger very-low-density lipoproteins (VLDL), and chylomicrons. OBJECTIVE: We aim to demonstrate that serum triglyceride (TG) level has a substantial impact on non-HDLC's ability to represent cholesterol from atherogenic lipoproteins, even though TG is not part of the calculation for non-HDLC. DESIGN: Analysis of lipid profile data. SETTINGS: Lipid Clinic patient cohort, and Biochemistry Laboratory patient cohort. PATIENTS OR OTHER PARTICIPANTS: 7,492 patients in the Lipid Clinic cohort with baseline lipid profiles documented prior to starting lipid-lowering medications and 156,311 lipid profiles from The Ottawa Hospital Biochemistry Laboratory cohort. INTERVENTION: None. MAIN OUTCOME MEASURE: Our modeling process includes derivation of TG-interval-specific lipoprotein composition factor (LCF) for TRL, which represents the mass ratio of cholesterol to TG in TRL. A high LCF indicates that the TRLs are mainly the cholesterol-rich atherogenic remnant lipoproteins. A low LCF indicates that the TRLs are mainly the TG-rich larger VLDL and chylomicrons. RESULTS: As serum TG increases, there is progressive decline in the LCF for TRL, which indicates that the calculated non-HDLC level reflects progressive inclusion of cholesterol from larger TRL. This is shown in both cohorts. CONCLUSIONS: Calculated non-HDLC is influenced by TG level. As TG increases, non-HDLC gradually includes more cholesterol from larger TRL, which are less atherogenic than LDL and remnant lipoproteins.

When does Social Capital Matter for Migration? A Study of Networks, Brokers, and Migrants in Nepal.

The study of social capital has been one of the strongest areas of recent advance in migration research, but there are still many questions about how it works and why it has varying effects in studies of different places. In this article, we address the contextual variation in social capital's effects on migration by considering migration brokers. We argue that destinations for which migration is logistically difficult to arrange give rise to brokerage industries and hypothesize that brokers in turn substitute for the informational capital typically provided by social networks. Our empirical tests in Nepal support this narrative, showing that social networks matter for migration to destinations where brokers are not available and have little discernible effect on migration to brokered destinations. Our results suggest that migration research should consider the growing role of brokerage agencies, that theorizations of social capital more broadly must contend with how it is delimited by brokers, and that social scientists might also consider other consequences that can arise from these migration brokers that are increasingly common in many countries and provide a marketized replacement for social capital in some cases.

Influences of Material Aspirations on Migration.

In this article, we investigate the influences of material aspirations on migration in Nepal, positing that material aspirations may have important influences on decisions to migrate and where to locate. We discuss a theoretical model explaining how these aspirations might be key influences in the migration decision. Using detailed continuous migration histories from the 2008-2012 Chitwan Valley Family Study, we estimate logistic and alternative-specific conditional logit models to examine how material aspirations in Nepal influence migration rates and destinations. Our empirical analyses provide strong evidence that material aspirations have large effects on overall rates of migration and affect destination-specific migration rates, particularly for relatively wealthy Western and Asian destinations. We also show an interaction effect between material aspirations and destination-specific expected earnings in influencing people's migration choices. It is the people with high aspirations who migrate to destinations with high earning potentials.

Improving Glycemic Control in Adults and Children With Type 1 Diabetes With the Use of Smartphone-Based Mobile Applications: A Systematic Review.

OBJECTIVES: Management of type 1 diabetes is often challenging. Smartphone mobile applications (apps) may provide additional support and help to improve glycemic control and clinical outcomes. The objectives of this study were to examine the literature evaluating the use of mobile apps (stand-alone and text messaging/feedback) in type 1 diabetes and to review top-rated mobile apps applicable to type 1 diabetes. METHODS: Medline, Cochrane and Embase databases were systematically searched to identify studies published from inception to February 2018. Top-rated relevant apps from Google Play Store and Apple App Store were reviewed in July 2017. RESULTS: The literature search yielded 3,462 studies. Of these studies, 9 evaluated the stand-alone apps; 3 showed significant improvement in glycated hemoglobin (A1C) levels (0.5%, p<0.05, 0.57%, p<0.05, and 0.58%, p=0.02); 3 demonstrated improved adherence to glucose monitoring; and 1 study demonstrated a reduction in hypoglycemic events (glucose<3.0 mmol/L) in 6 of 10 participants who completed the study. Also, 5 studies evaluated a mobile app plus text-messaging/feedback system. Only 1 showed a significant reduction in severe hypoglycemic events (mobile app+text, IQR 0.33, 95% CI 0.17 to 0.63; vs. control, IQR 2.29, 95% CI 1.80 to 2.91), while another single study demonstrated a reduction in median glycated hemoglobin levels (0.3%; p<0.001). Most top-rated mobile apps logged parameters relevant to diabetes management, and some provided graphic analysis and set reminders. CONCLUSIONS: This study highlights the need for larger and longer studies to explore the efficacy of apps to optimize outcomes in type 1 diabetes, the populations that would benefit most from these tools and the resources needed to support mobile apps plus text-messaging/feedback systems.

Thyroid-Stimulating Hormone-Stimulated Human Adipocytes Express Thymic Stromal Lymphopoietin.

When recombinant human (rh) thyroid-stimulating hormone (TSH) is administered to thyroid cancer survivors, an acute extra-thyroidal effect raises pro-inflammatory cytokines and activates platelets. Thymic stromal lymphopoietin (TSLP) is a cytokine recently implicated in platelet activation. Our aim was to measure platelet microparticle levels after rhTSH stimulation in vivo, and to investigate TSLP expression in TSH-stimulated human adipocytes in culture. Blood samples for total and platelet microparticle analysis were obtained from thyroid cancer survivors before (day 1) and after rhTSH administration (day 5). Adipocytes, differentiated from stromal preadipocytes isolated from adipose tissue from surgical patients, were stimulated with TSH. TSLP mRNA expression, protein expression, and protein release into the adipocyte medium were measured. The level of platelet microparticles in thyroid cancer patients rose 5-fold after rhTSH stimulation. TSH upregulated TSLP mRNA expression in adipocytes in culture through a pathway that was inhibited by 66% by H89, a protein kinase A inhibitor. TSLP protein expression rose in response to TSH, and TSH-stimulated TSLP release into the medium was completely blocked by dexamethasone. In conclusion, TSLP is a novel TSH-responsive adipokine. Future studies will be needed to address the potential role of adipocyte-derived TSLP and whether it is linked to TSH-dependent platelet activation.

Enriched administrative data can be used to retrospectively identify all known cases of primary subarachnoid hemorrhage.

OBJECTIVE: We derived and validated a method to screen all hospital admissions for 1° subarachnoid hemorrhage (SAH) by retrospectively implementing recognized diagnostic criteria. STUDY DESIGN AND SETTING: A screen for 1° SAH was developed using two previously created registries. Screen-positive cases underwent diagnosis confirmation with primary record review. A review of all patient hospital encounters with the diagnostic code for 1° SAH, and cross-referencing with an existing SAH registry was undertaken to identify missed cases. RESULTS: Three subscreens were combined to form the 1° SAH screen (sensitivity: 98.4% [95% CI: 91.7-99.7%], specificity: 93.4% [95% CI: 90.4-95.4%], n = 455 patients in validation sample). From 1,699 screen-positive admissions between July 1, 2002 and June 30, 2011, we identified 831 true cases of SAH of which 632 patients had 1° SAH from ruptured aneurysm/arteriovenous malformation (sensitivity: 96.5% [95% CI: 94.8-97.8%], specificity: 40.3% [95% CI: 38.1-42.6%]). A review of all encounters with a diagnostic code for 1° SAH yielded additional 22 true cases. CONCLUSION: When positive, our 1° SAH screen significantly increases the probability of this diagnosis in a particular hospitalization. The addition of patient hospitalizations encoded with the diagnostic code for 1° SAH improved sensitivity. Together, these methods represent the best way to retrospectively identify all cases of 1° SAH within an extensive sampling frame.

The relationship between antiglycation activity and procyanidin and phenolic content in commercial grape seed products.

Eight commercial grape seed products (GSPs) were assessed for their inhibition of the formation of advanced glycation end-products in vitro. All 8 commercial GSPs included in this study were potent inhibitors of advanced glycation end-product formation with IC(50) values ranging from 2.93 to 20.0 µg/mL. Total procyanidin content ranged from 60% to 73%. HPLC-DAD-ELSD results indicate that (+)-catechin, (-)-epicatechin, procyanidin B1, and procyanidin B2 were predominant and ubiquitously present in all the products under study, while gallic acid and procyanidin B4 were present in relatively minor amounts. The IC(50) values correlated with total phenolic content, and multiple regression analysis indicated that IC(50) is a linear function of the concentration of gallic acid and procyanidins B1, B2, and B4. Based on this study, GSPs have the potential to complement conventional diabetes medication toward disease management and prevention.

Nativity Differentials in Older Age Mortality in Taiwan: Do They Exist and Why?

Comparisons of migrants versus native populations have become increasingly important as a means of gaining insight into the factors affecting health and mortality levels and the relationship between them. Taiwan underwent a unique migration in 1949-50, as more than a million people, mostly young men, arrived from Mainland China following the Communist civil war victory. The Mainlanders were distinct from the original settlers in several ways: they represented different provinces in China, were better educated, and had distinct occupational profiles. Since 1950, Taiwan has experienced a rapid demographic transition and notable economic development, resulting in mortality decline. In this paper, we generate age- and cause-specific death rates circa 1990 by education and nativity to evaluate the relative importance of each factor. We also use longitudinal survey data to help interpret the differentials in terms of selection, risk factors, and other dynamics of health and mortality.