Second-Hand Smoke and Its Synergistic Effect with A Body-Mass Index of >24.9 kg/m2 Increase the Risk of Gout Arthritis in Indonesia

To analyze the association between smoking status (active smoking and exposure to Second-Hand Smoking (SHS)) and the synergistic effect of smoking status and BMI with gout risk, a community-based case-control design was undertaken among 385 participants, including 304 healthy controls and 81 gout patients from seven community health services. Adjusted Odd Ratios (AORs) and 95% Confidence Interval (CIs) of gout for active smoking and SHS were 3.26 (95% CI = 1.07~9.90) and 4.67 (95% CI = 2.18~10.00) compared to non-smokers. Time-dependent manner of active smoking and SHS significantly increased gout risk with AORs and 95% CIs of 5.95 (1.41~25.03) and 10.12 (3.51~29.14). Dose-dependency of active smokers and SHS showed AORs and 95% CIs of 5.15 (1.28~20.63) and 4.37 (1.33~14.28). Smoking 20 cigarettes (one pack) per day for one year is equivalent to one pack-year. Active smoking >20 pack-year and SHS > 26.5 pack-year increased gout risk with AORs and 95% CIs of 7.18 (1.53~33.67) and 9.95 (3.64~27.22). Participants who smoked (active smoking and SHS) and with Body Mass Index (BMI) of > 24.9 kg/m2 synergistically increased gout risk, with an AOR of 9.65 and 95% CI of 3.25~28.65, compared to BMI ≤ 24.9 kg/m2 and non-smoker. Smoking status (active smoking and SHS) and the synergistic effect of smoking status and BMI increased gout risk in Indonesia.

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Predictors of Longterm Changes in Body Mass Index in Rheumatoid Arthritis

The Journal of Rheumatology ◽

10.3899/jrheum.141363 ◽

2015 ◽

Vol 42 (6) ◽

pp. 920-927 ◽

Cited By ~ 7

Author(s):

Joshua F. Baker ◽

Grant W. Cannon ◽

Said Ibrahim ◽

Candace Haroldsen ◽

Liron Caplan ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Body Mass Index ◽

Weight Loss ◽

Body Mass ◽

Inflammatory Markers ◽

Smoking Status ◽

Active Smoking ◽

Factors Associated ◽

Marginal Regression ◽

Over Time

Objective.Low body mass index (BMI) is a risk factor for poor longterm outcomes in rheumatoid arthritis (RA). The purpose of this study was to identify factors associated with longterm changes in BMI.Methods.Subjects with RA from the Veterans Affairs (VA) Rheumatoid Arthritis (VARA) Registry (n = 1474) were studied. Information on inflammatory markers, presence of erosions, and smoking status were extracted from the VARA database. BMI was extracted from VA electronic medical records within 14 days of each visit date. VA pharmacy records were queried to identify prescriptions for specific RA therapies within 1 month of the visit date. We used robust generalized estimating equations marginal regression models to calculate independent associations between clinical variables and BMI over time. Similar models determined predictors of change in weight and risk of weight loss over the subsequent study observation period.Results.Increasing age, active smoking, and the presence of erosions at baseline were associated with lower BMI. Weight decreased over time among older adults. Factors associated with greater reductions in BMI over time and a greater risk of weight loss were higher inflammatory markers, smoking, older age, higher BMI, and less subsequent improvement in inflammation. Methotrexate use was associated with a lower risk of weight loss. The use of prednisone or anti-tumor necrosis factor therapies was not associated with change in BMI or the risk of weight loss independent of other factors.Conclusion.Greater age, greater inflammatory activity, and active smoking are associated with greater weight loss in RA over time.

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The Association Between Obstructive Sleep Apnea and Cotton-Wool Spots in Nonproliferative Diabetic Retinopathy

Journal of VitreoRetinal Diseases ◽

10.1177/2474126421989576 ◽

2021 ◽

pp. 247412642198957

Author(s):

Halward M.J. Blegen ◽

Grant A. Justin ◽

Bradley A. Bishop ◽

Anthony R. Cox ◽

James K. Aden ◽

...

Keyword(s):

Body Mass Index ◽

Obstructive Sleep Apnea ◽

Diabetic Retinopathy ◽

Sleep Apnea ◽

Body Mass ◽

Smoking Status ◽

Cotton Wool ◽

Nonproliferative Diabetic Retinopathy ◽

Cotton Wool Spots ◽

Obstructive Sleep

Purpose: This work reports the association of obstructive sleep apnea (OSA) and cotton-wool spots (CWS) seen in patients with nonproliferative diabetic retinopathy (DR). Methods: A random sample of patients diagnosed with DR between January 1, 2015 and December 31, 2018, were selected from medical-billing codes. Dilated funduscopic examination findings and medical history were analyzed by reviewing medical records. Results: CWS were present in 12 of 118 patients without OSA, compared with 11 of 32 patients with OSA (10.2% vs 34.4%, respectively; P = .002). OSA was more common in men (68.8%, P = .03) and associated with a higher body mass index (30.0 ± 5.0 without OSA vs 33.6 ± 5.5 with OSA, P < .001). When comparing those with and without OSA, there was no association with age; glycated hemoglobin A1c; stage of DR; insulin dependence; presence of diabetic macular edema; smoking status; or a history of hypertension, hyperlipidemia, cardiovascular disease, or other breathing disorder. Conclusions: The presence of OSA is associated with CWS in patients with DR, as well as male sex and a higher body mass index. Further research is needed to determine the ophthalmologist’s role in the timely referral of patients with CWS for OSA evaluation.

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Pregnancy outcomes related to gestational weight gain in women defined by their body mass index, parity, height, and smoking status

American Journal of Clinical Nutrition ◽

10.3945/ajcn.2009.27919 ◽

2009 ◽

Vol 90 (5) ◽

pp. 1288-1294 ◽

Cited By ~ 79

Author(s):

Ellen A Nohr ◽

Michael Vaeth ◽

Jennifer L Baker ◽

Thorkild IA Sørensen ◽

Jorn Olsen ◽

...

Keyword(s):

Body Mass Index ◽

Weight Gain ◽

Gestational Weight Gain ◽

Body Mass ◽

Pregnancy Outcomes ◽

Smoking Status ◽

Gestational Weight

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Issues related to modeling the body mass index–mortality association: the shape of the association and the effects of smoking status

International Journal of Obesity ◽

10.1038/ijo.2008.86 ◽

2008 ◽

Vol 32 (S3) ◽

pp. S52-S55 ◽

Cited By ~ 16

Author(s):

R A Durazo-Arvizu ◽

R S Cooper

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Smoking Status ◽

The Body

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Vitamin D status in apparently healthy medication-free Slovaks: Association to blood pressure, body mass index, self-reported smoking status and physical activity

Bratislava Medical Journal ◽

10.4149/bll_2016_135 ◽

2017 ◽

Vol 117 (12) ◽

pp. 702-709 ◽

Cited By ~ 2

Author(s):

K. Sebekova ◽

Z. Krivosikova ◽

M. Gajdos ◽

L Podracka

Keyword(s):

Physical Activity ◽

Blood Pressure ◽

Body Mass Index ◽

Vitamin D ◽

Body Mass ◽

Smoking Status ◽

Vitamin D Status ◽

Apparently Healthy

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The Relationship between Body Mass Index, Obesity, and LINE-1 Methylation: A Cross-Sectional Study on Women from Southern Italy

Disease Markers ◽

10.1155/2021/9910878 ◽

2021 ◽

Vol 2021 ◽

pp. 1-7

Author(s):

Andrea Maugeri ◽

Martina Barchitta ◽

Roberta Magnano San Lio ◽

Giuliana Favara ◽

Claudia La Mastra ◽

...

Keyword(s):

Body Mass Index ◽

Dna Methylation ◽

Body Mass ◽

Methylation Level ◽

Molecular Mechanisms ◽

Smoking Status ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

The Relationship

Uncovering the relationship between body mass index (BMI) and DNA methylation could be useful to understand molecular mechanisms underpinning the effects of obesity. Here, we presented a cross-sectional study, aiming to evaluate the association of BMI and obesity with long interspersed nuclear elements (LINE-1) methylation, among 488 women from Catania, Italy. LINE-1 methylation was assessed in leukocyte DNA by pyrosequencing. We found a negative association between BMI and LINE-1 methylation level in both the unadjusted and adjusted linear regression models. Accordingly, obese women exhibited lower LINE-1 methylation level than their normal weight counterpart. This association was confirmed after adjusting for the effect of age, educational level, employment status, marital status, parity, menopause, and smoking status. Our findings were in line with previous evidence and encouraged further research to investigate the potential role of DNA methylation markers in the management of obesity.

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Abstract P301: Association of Toenail Cadmium Levels with Measures of Sub-Clinical Atherosclerosis: The Coronary Artery Risk Development in Young Adults (CARDIA) Trace Element Study

Circulation ◽

10.1161/circ.125.suppl_10.ap301 ◽

2012 ◽

Vol 125 (suppl_10) ◽

Author(s):

Pengcheng Xun ◽

Kiang Liu ◽

Steve Morris ◽

Martha Daviglus ◽

Catherine Loria ◽

...

Keyword(s):

Body Mass Index ◽

Coronary Artery ◽

Body Mass ◽

Smoking Status ◽

Experimental Studies ◽

Intima Media Thickness ◽

Carotid Intima Media Thickness ◽

Omega 3 ◽

Media Thickness ◽

Cd Exposure

Background: Experimental studies have suggested that cadmium (Cd) exposure is a potential risk factor for early atherosclerosis and cardiovascular diseases as it can disrupt integrity of the endothelial cell layer. However, longitudinal data in humans relating Cd levels to sub-clinical atherosclerosis are lacking. Methods: 2589 participants from the CARDIA Study, aged 20-32 years in 1987 (baseline) with up to 18 years of follow-up were included in the analyses to examine prospectively the associations of toenail Cd concentrations with carotid intima-media thickness (CIMT) and coronary artery calcium score (CAC score). Toenail clippings were collected in 1987 and Cd was assessed by instrumental neutron-activation analysis. Common (c), bulb (b), and internal (i) CIMTs were measured in 2005 and CAC score in 2000 and 2005. CAC presence (score, >0 Agatston units) and CAC progression (incident CAC in 2005 or increase in CAC score by ≥10 Agatston units) were defined based on CAC score. General linear regression or logistic regression was used as appropriate. Results: Median Cd levels were 0.003, 0.006, 0.012 and 0.039 μ g/g from 1 st - 4 th quartile. We observed a positive linear relation of Cd levels with cCIMT, but not bCIMT and iCIMT ( Table 1 ). Null associations between Cd levels and CAC progression [Q 4 vs . Q 1 : OR=1.11 (95% CI: 0.73, 1.68); P trend =0.14] or presence of CAC [Q 4 vs . Q 1 : OR=1.05 (0.73, 1.53); P trend =0.56] were documented. Conclusions: In this young adult cohort, toenail Cd levels were positively associated with cCIMT, but not bCIMT, iCIMT and CAC score. Further studies are needed to determine whether there is an atherosclerotic mechanism linking Cd exposure to the risk of cardiovascular disease. Table 1 Multivariable-adjusted carotid intima-media thickness (mm) by toenail cadmium levels No. of participants Quartile of toenail cadmium levels P trend Q1 Q2 Q3 Q4 cCIMT 2587 0.781 (0.773-0.790) 0.784 (0.776-0.793) 0.789 (0.781-0.798) 0.791 (0.781-0.798) 0.03 bCIMT 2527 1.010 (0.990-0.1.031) 1.002 (0.982-1.022) 0.981 (0.962-1.001) 1.001 (0.980-1.022) 0.17 iCIMT 2436 0.787 (0.772-0.802) 0.790 (0.776-0.804) 0.784 (0.770-0.798) 0.778 (0.763-0.793) 0.86 Data are geometric means (95%CIs) adjusted for age, gender, race, study center, body mass index, physical activity, education, smoking status, alcohol consumption, systolic blood pressure, LDL/HDL, HOMA, body mass index, long-chain omega-3 polyunsaturated fatty acids intake with toenail zinc, chromium, lead and mass weight. cCIMT : common carotid intima-media thickness; bCIMT : bulb carotid intima-media thickness; iCIMT : internal carotid intima-media thickness.

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Subgroup analysis of the influence of body mass index on the association between serum lipids and cognitive function in Chinese population

10.21203/rs.2.19766/v2 ◽

2020 ◽

Author(s):

Jiang Li ◽

Yongtong Cao ◽

Cheng Xiao

Keyword(s):

Blood Pressure ◽

Body Mass Index ◽

Cognitive Function ◽

Body Mass ◽

Serum Lipids ◽

Smoking Status ◽

Female Group ◽

Function Score ◽

Nutrition Survey ◽

Cognitive Function Score

Abstract Background: Previous studies reported that the association between lipid levels and cognitive function related with gender, age and specific cognitive domains, but the influence of body mass index (BMI) on this association is limited. This triggered our interest in exploring how serum lipids relate to cognitive function in different subgroups. Methods: Data was collected from 2009 wave and 2015 wave of China Health and Nutrition Survey (CHNS). Multivariable linear regression analyses examined serum lipids level as predictors of sex- and age-specific measure of cognitive function in different BMI levels, which were adjusted for nationality, BMI, systolic blood pressure (SBP), diastolic blood pressure (DBP), smoking status, alcohol consumption and education level. Results: Cognitive function score have different concentration curves in serum lipids quartile levels in different BMI categories. After adjustment for confounding factors, serum TG was positively associated with cognitive function score in underweight (β±SE: 2.06±0.88, P=0.023) and obese (β±SE: 1.44±0.71, P=0.045) male group, and serum HDL-C was positively associated with cognitive function score in overweight (β±SE: 1.89±0.92, P=0.041) and obese (β±SE: 5.04±1.62, P=0.002) female group. Serum TC was negatively associated with cognitive function score in overweight (β±SE: -2.55±1.26, P=0.043) mid-life adults, and serum HDL-C was positively associated with cognitive function score in overweight (β±SE: 2.15±0.94, P=0.022) and obese (β±SE: 5.33±2.07, P=0.011) older adults. Conclusion: The associations of serum lipids with cognitive function were related with BMI levels and differed between gender and age groups. This result indicated that better nutritional status has superior cognitive function performance.

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