A bean-free diet increases the risk of all-cause mortality among Taiwanese women: the role of the metabolic syndrome

AbstractObjectiveTo evaluate the associations with chronic disease risk and mortality of the consequences of bean-free diets in Taiwanese adults with regard to gender.DesignA sub-sample of the National Health Interview Survey (NHIS) in 2001 agreed to physical examination in the subsequent year. This group then took part in the Taiwanese Survey of Hyperglycaemia, Hyperlipidaemia and Hypertension (TwSHHH) in 2002.SettingIndividual records were linked to the eventual death files from 2002 to 2008.SubjectsUp to the end of 2008, a total of 2820 men and 2950 women were tracked by death registry over the 6·8 years of follow-up.ResultsAmong 38 077 person-years, an average follow-up 6·5 years, 225 all-cause deaths were identified. Generalized linear models showed beans to be favourable for metabolic syndrome (other than for fasting glucose) in men; in women, beans were favourable for waist circumference and HbA1c. Cumulative logistic regression models for the effect of a bean-free diet on metabolic syndrome scores according to the Taiwanese-modified National Cholesterol Education Program–Adult Treatment Panel III (NCEP-tw) gave adjusted odds ratios of 1·83 in men and 1·45 in women. Cox regression models for the bean-free diet showed an increased hazard ratio for all-cause mortality among women (1·98, 95 % CI 1·03, 3·81) but not men (1·28, 95 % CI 0·76, 2·16).ConclusionsA bean-free diet may play a role in developing the metabolic syndrome in both genders, and is a significant predictor of all-cause mortality in Taiwanese women but not men.

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Low HbA1c levels and all-cause or cardiovascular mortality among people without diabetes: the US National Health and Nutrition Examination Survey 1999–2015

International Journal of Epidemiology ◽

10.1093/ije/dyaa263 ◽

2020 ◽

Author(s):

Kosuke Inoue ◽

Roch Nianogo ◽

Donatello Telesca ◽

Atsushi Goto ◽

Vahe Khachadourian ◽

...

Keyword(s):

Cardiovascular Mortality ◽

Regression Models ◽

Machine Learning Algorithms ◽

Logistic Regression Models ◽

Health And Nutrition ◽

Increased Risk ◽

The Us ◽

All Cause Mortality ◽

Hba1c Levels

Abstract Objective It is unclear whether relatively low glycated haemoglobin (HbA1c) levels are beneficial or harmful for the long-term health outcomes among people without diabetes. We aimed to investigate the association between low HbA1c levels and mortality among the US general population. Methods This study includes a nationally representative sample of 39 453 US adults from the National Health and Nutrition Examination Surveys 1999–2014, linked to mortality data through 2015. We employed the parametric g-formula with pooled logistic regression models and the ensemble machine learning algorithms to estimate the time-varying risk of all-cause and cardiovascular mortality by HbA1c categories (low, 4.0 to <5.0%; mid-level, 5.0 to <5.7%; prediabetes, 5.7 to <6.5%; and diabetes, ≥6.5% or taking antidiabetic medication), adjusting for 72 potential confounders including demographic characteristics, lifestyle, biomarkers, comorbidities and medications. Results Over a median follow-up of 7.5 years, 5118 (13%) all-cause deaths, and 1116 (3%) cardiovascular deaths were observed. Logistic regression models and machine learning algorithms showed nearly identical predictive performance of death and risk estimates. Compared with mid-level HbA1c, low HbA1c was associated with a 30% (95% CI, 16 to 48) and a 12% (95% CI, 3 to 22) increased risk of all-cause mortality at 5 years and 10 years of follow-up, respectively. We found no evidence that low HbA1c levels were associated with cardiovascular mortality risk. The diabetes group, but not the prediabetes group, also showed an increased risk of all-cause mortality. Conclusions Using the US national database and adjusting for an extensive set of potential confounders with flexible modelling, we found that adults with low HbA1c were at increased risk of all-cause mortality. Further evaluation and careful monitoring of low HbA1c levels need to be considered.

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Living alone is associated with all-cause and cardiovascular mortality: 32 years of follow-up in the Copenhagen Male Study

European Heart Journal - Quality of Care and Clinical Outcomes ◽

10.1093/ehjqcco/qcz004 ◽

2019 ◽

Vol 5 (3) ◽

pp. 208-217 ◽

Cited By ~ 7

Author(s):

Magnus T Jensen ◽

Jacob L Marott ◽

Andreas Holtermann ◽

Finn Gyntelberg

Keyword(s):

Cardiovascular Mortality ◽

Regression Models ◽

Cox Regression ◽

Urban Life ◽

Living Alone ◽

Policy Initiatives ◽

All Cause Mortality ◽

Number Of Individuals

Abstract Aims As a consequence of modern urban life, an increasing number of individuals are living alone. Living alone may have potential adverse health implications. The long-term relationship between living alone and all-cause and cardiovascular mortality, however, remains unclear. Methods and results Participants from The Copenhagen Male Study were included in 1985–86 and information about conventional behavioural, psychosocial, and environmental risk factors were collected. Socioeconomic position (SEP) was categorized into four groups. Multivariable Cox-regression models were performed with follow-up through the Danish National Registries. A total of 3346 men were included, mean (standard deviation) age 62.9 (5.2) years. During 32.2 years of follow-up, 89.4% of the population died and 38.9% of cardiovascular causes. Living alone (9.6%) was a significant predictor of mortality. Multivariable risk estimates were [hazard ratio (95% confidence interval)] 1.23 (1.09–1.39), P = 0.001 for all-cause mortality and 1.36 (1.13–1.63), P = 0.001 for cardiovascular mortality. Mortality risk was modified by SEP. Thus, there was no association in the highest SEP but for all other SEP categories, e.g. highest SEP for all-cause mortality 1.01 (0.7–1.39), P = 0.91 and 0.94 (0.6–1.56), P = 0.80 for cardiovascular mortality; lowest SEP 1.58 (1.16–2.19), P = 0.004 for all-cause mortality and 1.87 (1.20–2.90), P = 0.005 for cardiovascular mortality. Excluding participants dying within 5 years of inclusion (n = 274) did not change estimates, suggesting a minimal influence of reverse causation. Conclusions Living alone was an independent risk factor for all-cause and cardiovascular mortality with more than three decades of follow-up. Individuals in middle- and lower SEPs were at particular risk. Health policy initiatives should target these high-risk individuals.

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Abstract P274: Kidney Filtration Markers and the Risk of Clinical Outcomes in Individuals With Type 2 Diabetes in the Advance Trial

Circulation ◽

10.1161/circ.141.suppl_1.p274 ◽

2020 ◽

Vol 141 (Suppl_1) ◽

Author(s):

Hyunju Kim ◽

Dan Wang ◽

John Chalmers ◽

Mark Woodward ◽

Elizabeth Selvin ◽

...

Keyword(s):

Type 2 Diabetes ◽

Clinical Outcomes ◽

Regression Models ◽

Cox Regression ◽

All Cause Mortality ◽

Baseline Levels ◽

Controlled Evaluation ◽

Egfr Decline

Introduction: Creatinine-based estimated glomerular filtration rate (eGFR) is biased in the setting of obesity and other conditions. Alternative kidney filtration markers may be particularly useful in adults with diabetes, but few studies examined the risk of clinical outcomes associated with filtration markers in adults with type 2 diabetes. Objective: We evaluated whether baseline levels and change in eGFR based on creatinine (Cr), cystatin C (Cys), and B 2 -microglobulin (B2M) were associated with the risk of clinical outcomes among individuals with type 2 diabetes. Methods: In the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial, Cr, Cys, and B2M were measured in 7,217 participants at baseline and a random sample of 640 participants at the 1 year visit. We categorized baseline eGFR Cr , eGFR Cys , eGFR B2M , and the average across the 3 eGFR estimates (eGFR avg ) into quarters, and examined associations with major macrovascular and microvascular events together, and separately, and all-cause mortality using Cox regression models, adjusting for established risk factors. We also examined associations with continuous eGFR decline and increase (per 30%). Results: Over a median follow-up of 5 years, 1,313 combined major macrovascular (n=748) and microvascular events (n=637), and 743 deaths occurred. Lower levels of eGFR based on all three filtration markers individually and combined were associated with 1.5 to 2.2 times higher risk of combined major macrovascular and microvascular events, with similar patterns for other outcomes ( Table ). Per 30% decline in eGFR Cys and eGFR avg were associated with a >2-fold higher risk of all clinical outcomes, after additional adjustment of baseline eGFR. Conclusions: In adults with type 2 diabetes, baseline levels of eGFR based on alternative filtration markers and per 30% decline in eGFR Cys and eGFR avg were consistently associated with all clinical outcomes.

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Lipoprotein(a) level and MIF gene variant predict incident metabolic syndrome and mortality

Journal of Investigative Medicine ◽

10.1136/jim-2015-000003 ◽

2016 ◽

Vol 64 (2) ◽

pp. 392-399 ◽

Cited By ~ 6

Author(s):

Altan Onat ◽

Günay Can ◽

Neslihan Çoban ◽

İbrahim Dönmez ◽

Hakan Çakır ◽

...

Keyword(s):

Metabolic Syndrome ◽

Cox Regression ◽

Disease Risk ◽

Smoking Status ◽

Density Lipoprotein ◽

Population Based ◽

Serum Lipoprotein ◽

Risk Of Death ◽

All Cause Mortality ◽

Middle Aged Adults

Owing to the scarcity of available information, we aimed to assess the association of migration inhibitory factor (MIF)-173 G/C genotypes and serum lipoprotein(Lp)(a) with incident metabolic syndrome (MetS) and all-cause mortality, respectively. In population based, middle-aged adults (n=1297), stratified by gender and presence of MetS, we used Lp(a) quintiles to identify non-linear associations with outcomes using Cox regression models, adjusted for MIF genotype, age, smoking status, high density lipoprotein cholesterol, and systolic blood pressure. After 5.2 years of follow-up, 151 cases of incident MetS and 123 deaths were recorded. For incident MetS, adjusted HRs increased in each gender across four declining quintiles, starting from the highest quintile in men and from quintile 4 in women. The MIF CC-GC genotype appeared to contribute to the risk estimates in men. Similarly adjusted models in the whole sample disclosed that all-cause mortality tended to be inversely associated with Lp(a) quintiles and yielded an HR (2.42 (95% CI 1.03 to 5.81)) in men in quintile 2, whereas the MIF genotype additively predicted mortality (HR 1.79 (95% CI 1.01 to 3.18)) only in men. Excess risk of death was additively conferred on Turkish men by the MIF CC-GC genotype and by apparently reduced circulating Lp(a) assays, supporting the notion that ‘low’ serum Lp(a), mediating autoimmune activation, is a major determinant of metabolic disease risk and death. Damaged MIF protein and more complex autoimmune activation in women may be responsible from lack of relationship to MetS/mortality.

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Association between the HTR2C rs1414334 C/G gene polymorphism and the development of the metabolic syndrome in patients treated with atypical antipsychotics

PeerJ ◽

10.7717/peerj.2163 ◽

2016 ◽

Vol 4 ◽

pp. e2163 ◽

Cited By ~ 3

Author(s):

José María Rico-Gomis ◽

Antonio Palazón-Bru ◽

Irene Triano-García ◽

Luis Fabián Mahecha-García ◽

Ana García-Monsalve ◽

...

Keyword(s):

Metabolic Syndrome ◽

Logistic Regression ◽

Regression Models ◽

Atypical Antipsychotics ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

The Metabolic Syndrome

Few studies have assessed the association between the rs1414334 C/G polymorphism in the HTR2C gene and the development of the metabolic syndrome in patients treated with atypical antipsychotics. To provide further evidence, a cross-sectional study was conducted in Spain between 2012 and 2013 in 166 patients with these characteristics. In these patients, the association between the polymorphism and the presence of the metabolic syndrome was determined by implementing binary logistic regression models adjusted for variables associated with the metabolic syndrome. We did not confirm previous claims that the C allele of the polymorphism was linked to the metabolic syndrome: the association was in the opposite direction and non-significant. This conclusion held after taking gender and lifestyle variables into account.

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Coffee consumption and total mortality in a Mediterranean prospective cohort

American Journal of Clinical Nutrition ◽

10.1093/ajcn/nqy198 ◽

2018 ◽

Vol 108 (5) ◽

pp. 1113-1120 ◽

Cited By ~ 7

Author(s):

Adela M Navarro ◽

Miguel Á Martinez-Gonzalez ◽

Alfredo Gea ◽

Giuseppe Grosso ◽

José M Martín-Moreno ◽

...

Keyword(s):

Regression Models ◽

Cox Regression ◽

Coffee Consumption ◽

Total Mortality ◽

Potential Effect ◽

National Death Index ◽

Food Frequency ◽

Highly Educated ◽

All Cause Mortality

ABSTRACT Background The relation of coffee consumption with total mortality is controversial, because the available evidence is still inconsistent. Objective This study aimed to assess this association in a highly educated, middle-aged Mediterranean cohort. Design We analyzed data from 201,055 person-years of follow-up arising from 19,888 participants. Coffee consumption was obtained at baseline with the use of a previously validated semiquantitative food-frequency questionnaire. Information on mortality was ascertained by permanent contact with the “Seguimiento Universidad de Navarra” (SUN) participants and their families, postal authorities, and consultation of the National Death Index. We used Cox regression models to estimate HRs and 95% CIs for mortality according to baseline total coffee consumption adjusted for potential confounders. Sex, age, and baseline adherence to the Mediterranean diet were considered as potential effect modifiers. Results Among the 19,888 participants, 337 died. Overall, in the multivariable adjusted analysis, we found a 22% lower risk of all-cause mortality for each 2 additional cups of total coffee per day (HR: 0.78; 95% CI: 0.66, 0.93). This association was stronger for participants aged ≥55 y (HR: 0.67; 95% CI: 0.52, 0.86) than for younger participants, who showed no significant association (P-interaction = 0.002). Conclusion In a Mediterranean cohort, we found an inverse linear association between total coffee consumption and the risk of all-cause mortality that was strongest among participants older than 54 y.

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Initial predictors for short-term prognosis in anti-melanoma differentiation-associated protein-5 positive patients

Orphanet Journal of Rare Diseases ◽

10.1186/s13023-021-01705-8 ◽

2021 ◽

Vol 16 (1) ◽

Author(s):

Qihua Yang ◽

Tianfang Li ◽

Xin Zhang ◽

Kunlong Lyu ◽

Shujun Wu ◽

...

Keyword(s):

Mortality Rate ◽

Regression Models ◽

Cox Regression ◽

Combined Treatment ◽

Good Prognosis ◽

Short Term ◽

Logistic Regression Models ◽

Cox Proportional Hazard Regression ◽

Poor Outcomes

Abstract Background Anti-melanoma differentiation-associated protein-5 (anti-MDA5) positive patients are characterized by the high mortality rate caused by interstitial lung disease (ILD). We conducted a retrospective study to summarize the clinical features and identify the initial predictors for death in anti-MDA5 positive patients. Methods We designed a retrospective cohort of anti-MDA5 positive patients. The demographic and clinical data recorded on first admission, as well as the outcomes during the first six months follow-up, were collected. Predictors of rapidly progressive ILD (RPILD) and poor outcomes were calculated using logistic regression models and Cox proportional hazard regression models, respectively. Results A total of 90 anti-MDA5 positive patients were included in this study. Eighty-one (90%) patients presented ILD on admission and 35 (38.9%) patients developed RPILD subsequently. During the first six months of follow-up, 22 (24.4%) patients died of respiratory failure at an average time of 6.6 ± 5.9 weeks. Factors including disease duration < 2 months (OR 6.1, 95% CI 1.7–22.4, P = 0.007), serum ferritin ≥ 1500 ng/ml (OR 12.3, 95% CI 3.1–49.6, P < 0.001), CRP ≥ 13 mg/L (OR 4.6, 95% CI 1.3–16.9, P = 0.021) and total GGO score ≥ 4 (OR 6.3, 95% CI 1.8–21.9, P = 0.003), were identified as independent predictors for RPILD. Cox regression model showed that total CT GGO score ≥ 4 (HR 4.8, 95% CI 1.3–17.9, P = 0.020), KL-6 > 1600 U/ml (HR 3.7, 95% CI 1.5–9.1, P = 0.004) and CRP > 5.8 mg/L (HR 3.7, 95% CI 1.0–12.8, P = 0.044) were poor prognostic risk factors, however initial combined treatment (HR 0.3, 95% CI 0.1–0.8, P = 0.019) predicted good prognosis in anti-MDA5 positive patients. Conclusion Anti-MDA5 positive patients demonstrated a high prevalence of ILD on admission, leading to a high short-term mortality rate. Higher total GGO score, higher levels of initial KL-6 and CRP predict poor outcome in anti-MDA5 positive patients. However, initial intensive treatment may improve the prognosis.

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Unmarried or less-educated patients with mantle cell lymphoma are less likely to undergo a transplant, leading to lower survival

Blood Advances ◽

10.1182/bloodadvances.2020003645 ◽

2021 ◽

Vol 5 (6) ◽

pp. 1638-1647

Author(s):

Ingrid Glimelius ◽

Karin E. Smedby ◽

Alexandra Albertsson-Lindblad ◽

Michael J. Crowther ◽

Sandra Eloranta ◽

...

Keyword(s):

Mantle Cell Lymphoma ◽

Regression Models ◽

Hematopoietic Cell Transplantation ◽

Cox Regression ◽

Cell Lymphoma ◽

Prognostic Impact ◽

Never Married ◽

Logistic Regression Models ◽

Mantle Cell ◽

All Cause Mortality

Abstract It is unknown how many mantle cell lymphoma (MCL) patients undergo consolidation with autologous hematopoietic cell transplantation (AHCT), and the reasons governing the decision, are also unknown. The prognostic impact of omitting AHCT is also understudied. We identified all MCL patients diagnosed from 2000 to 2014, aged 18 to 65 years, in the Swedish Lymphoma Register. Odds ratios (ORs) and 95% confidence intervals (CIs) from logistic regression models were used to compare the likelihood of AHCT within 18 months of diagnosis. All-cause mortality was compared between patients treated with/without AHCT using hazard ratios (HRs) and 95% CIs estimated from Cox regression models. Probabilities of being in each of the following states: alive without AHCT, alive with AHCT, dead before AHCT, and dead after AHCT, were estimated over time from an illness-death model. Among 369 patients, 148 (40%) were not treated with AHCT within 18 months. Compared with married patients, never married and divorced patients had lower likelihood of undergoing AHCT, as had patients with lower educational level, and comorbid patients. Receiving AHCT was associated with reduced all-cause mortality (HR = 0.58, 95% CI: 0.40-0.85). Transplantation-related mortality was low (2%). MCL patients not receiving an AHCT had an increased mortality rate, and furthermore, an undue concern about performing an AHCT in certain societal groups was seen. Improvements in supportive functions potentially increasing the likelihood of tolerating an AHCT and introduction of more tolerable treatments for these groups are needed.

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Hemoglobin concentration is associated with the incidence of metabolic syndrome

BMC Endocrine Disorders ◽

10.1186/s12902-021-00719-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Sunyue He ◽

Hongxia Gu ◽

Jie Yang ◽

Qing Su ◽

Xiaoyong Li ◽

...

Keyword(s):

Metabolic Syndrome ◽

Abdominal Obesity ◽

Regression Models ◽

Hemoglobin Concentration ◽

Elderly Subjects ◽

Logistic Regression Models ◽

Low Hdl ◽

The Mean ◽

New Onset

Abstract Background An association between hemoglobin and metabolic syndrome (MetS) has been reported. However, the relationships between hemoglobin and individual MetS components remain unclear. Therefore, we investigated these associations at baseline and at the 3-year follow-up. Methods We enrolled 9960 middle-aged and elderly subjects (6726 women and 3234 men) and performed a 3-year follow-up cohort study. All subjects completed a questionnaire and underwent anthropometric measurements and laboratory tests. Logistic regression models were developed to assess the association between hemoglobin and MetS and its components. Results MetS was present in 45.1% of women and 41.4% of men at baseline. The hemoglobin concentration was positively correlated with SBP, DBP, TGs, WC, FPG, insulin, HOMA-IR, BMI and uric acid (p < 0.05). The mean hemoglobin concentration was higher in subjects with hypertension, high TGs, abdominal obesity or elevated FPG (p < 0.01). At follow-up, elevated hemoglobin correlated with an increased incidence and ORs for MetS, high TGs, low HDL-c, hyperuricemia and NAFLD but not abdominal obesity, BP or FPG in women. Increased hemoglobin corresponded with an increased incidence and ORs for MetS, abdominal obesity, low HDL-c, hyperuricemia and NAFLD but not BP, high TGs or FPG in men. Conclusions Hemoglobin may play a role in predicting new-onset MetS in both women and men. Hemoglobin was notably correlated with future risk of high TGs, low HDL-c, hyperuricemia, and NAFLD among women and abdominal obesity, low HDL-c, hyperuricemia, and NAFLD among men.

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Association of plasma aldosterone with the metabolic syndrome in two German populations

Acta Endocrinologica ◽

10.1530/eje-10-1074 ◽

2011 ◽

Vol 164 (5) ◽

pp. 751-758 ◽

Cited By ~ 32

Author(s):

Anke Hannemann ◽

Christa Meisinger ◽

Martin Bidlingmaier ◽

Angela Döring ◽

Barbara Thorand ◽

...

Keyword(s):

Metabolic Syndrome ◽

Logistic Regression ◽

Regression Models ◽

Fasting Glucose ◽

Hdl Cholesterol ◽

Plasma Aldosterone ◽

Lipid Lowering ◽

Plasma Aldosterone Concentration ◽

Logistic Regression Models ◽

The Metabolic Syndrome

ObjectiveThe aim of this study was to analyze the potential association of the plasma aldosterone concentration (PAC) with the metabolic syndrome (MetS) and its components in two German population-based studies.MethodsWe selected 2830 and 2901 participants (31–80 years) from the follow-ups of the Study of Health in Pomerania (SHIP)-1 and the Cooperative Health Research in the Region of Augsburg (KORA) F4 respectively. MetS was defined as the presence of at least three out of the following five criteria: waist circumference ≥94 cm (men (m)) and ≥80 cm (women (w)); high-density lipoprotein (HDL) cholesterol <1.0 mmol/l (m) and <1.3 mmol/l (w); blood pressure ≥130/85 mmHg or antihypertensive treatment; non-fasting glucose (SHIP-1) ≥8 mmol/l, fasting glucose (KORA F4) ≥5.55 mmol/l or antidiabetic treatment; non-fasting triglycerides (SHIP-1) ≥2.3 mmol/l, fasting triglycerides (KORA F4) ≥1.7 mmol/l, or lipid-lowering treatment. We calculated logistic regression models by comparing the highest study- and sex-specific PAC quintiles versus all lower quintiles.ResultsMetS was common with 48.1% (m) and 34.8% (w) in SHIP-1 and 42.7% (m) and 27.5% (w) in KORA F4. Our logistic regression models revealed associations of PAC with MetS, elevated triglycerides, and decreased HDL cholesterol in SHIP-1 and KORA F4.ConclusionsOur findings add to the increasing evidence supporting a relation between aldosterone and MetS and suggest that aldosterone may be involved in the pathophysiology of MetS and lipid metabolism disorders.

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