scholarly journals Diabetes during Pregnancy: Influence of Body Mass Index on Composite Morbidity

2017 ◽  
Vol 07 (02) ◽  
pp. e128-e133
Author(s):  
Amy O'Neil Dudley ◽  
Zachary Jenner ◽  
Hector Mendez-Figueroa ◽  
Viviana Ellis ◽  
Suneet Chauhan

Objective This study aims to compare composite maternal and neonatal morbidities (MM, NM) among pregnant women with diabetes mellitus whose body mass index (BMI) at delivery was < 30 (group 1), 30.0 to 39.9 (group 2), and ≥ 40 kg/m2 (group 3). We hypothesized that increased BMI class at delivery would be associated with worsening maternal and neonatal outcomes. Methods This is a retrospective cohort study. MM was defined as: chorioamnionitis, wound infection, eclampsia, diabetic ketoacidosis, hypoglycemia admission, third/fourth degree laceration, and/or death. NM was defined as umbilical arterial pH < 7.0, 5 minute Apgar < 4, respiratory distress syndrome, mechanical ventilation, neonatal sepsis, stillbirth, and/or death. Odds ratios were adjusted for possible confounders. Results MM was noted in 8, 13, and 24% of groups 1, 2, and 3, respectively, and significantly more common in group 2 versus 1 (adjusted odds ratio [aOR]: 1.66) and group 3 versus 1 (aOR: 3.06). NM was noted in 7, 8, and 15% of each BMI group, respectively, and differed significantly between group 3 vs. 2 (aOR: 1.77). Conclusions The increased rate of morbidities between the BMI groups is useful to inform diabetic women and highlights the need for further investigation of diabetes and obesity as comorbidities in pregnancy.

2017 ◽  
Vol 89 (3) ◽  
pp. 219 ◽  
Author(s):  
Mehmet Zeynel Keskin ◽  
Salih Budak ◽  
Evrim Emre Aksoy ◽  
Cem Yücel ◽  
Serkan Karamazak ◽  
...  

Aim: To evaluate the effects of body mass index (BMI) ratio on semen parameters and serum reproductive hormones. Materials and methods: The data of 454 patients who prsented to male infertility clinics in our hospital between 2014 and 2015 were analyzed retrospectively. Weight, height, serum hormone levels and semen analysis results of the patients were obtained. BMI values were calculated by using the weight and height values of the patients and they were classified as group 1 for BMI values ≤ 25 kg/m2, as group 2 for BMI values 25-30 kg/m2 and as group 3 for BMI values ≥ 30 kg/m2. Results: The mean values of BMI, semen volume, concentration, total motility, progressive motility, total progressive motile sperm count (TPMSC), normal morphology according to Kruger, head abnormality, neck abnormality, tail abnormality, FSH, LH, prolactin, T/E2, total testosterone and estradiol parameters of the patients were considered. Patients were divided according to BMI values in Group 1 (n = 165), Group 2 (n = 222) and Group 3 (n = 56). There was no statistically significant difference in terms of all variables between the groups. Conclusions: We analyzed the relationship between BMI level and semen parameters and reproductive hormones, demonstrating no relationship between BMI and semen parameters. In our study, BMI does not affect semen parameters although it shows negative correlation with prolactin and testosterone levels.


2020 ◽  
Vol 92 (5) ◽  
pp. 1-5
Author(s):  
Atakan Ozkan ◽  
Aylin Hande Gokce ◽  
Feridun Suat Gokce

<b>Background:</b> Acute appendicitis is the most common cause of acute abdomen. Delay in diagnosis increases the mortality and morbidity. <br><b>Aim: </b>In this study, we aimed to investigate whether the body mass index is useful in diagnosis and whether the neutrophil /lymphocyte and platelet/lymphocyte ratios can help in determining the inflammation level of acute appendicitis. <br><b>Meterial and Methods:</b> Cases of appendectomy performed between June 2012 and December 2018 in our clinic were analyzed retrospectively. Based on the pathology results of the cases included in the study, 4 groups were formed, i.e.: Group 1 (initial stage), Group 2 (catarrhal stage), Group 3 (phlegmonous-gangrenous stage) and Group 4 (perforation). The study compared age, body mass index, leukocyte values, red cell distribution width (RDW), neutrophil/lymphocyte ratio (NLR), platelet /lymphocyte ratio (PLR), and mean platelet volume (MPV) between groups. <br><b> Results:</b> 828 cases were included in the study. When compared between groups, the values of Group 3 and Group 4 were higher than those of Group 1 and Group 2 for PLR and NLR. There was no difference in RDW and MPV values in the blood. When Body Mass Index (BMI) was compared between groups, it was found to be significantly higher with increasing histopathological stage. <br><b>Conclusion:</b> In acute appendicitis, the blood leukocyte value, elevated PLR and NLR are helpful in diagnosis. We aimed to emphasize that the diagnosis of acute appendicitis is delayed in patients with a BMI above 30 and/or at age of over 40 years, with the perforation rate being determined more frequently.


2021 ◽  
pp. 112067212110437
Author(s):  
Emine Temel ◽  
Nazife Aşikgarip ◽  
Kemal Örnek

Purpose: To determine the relation of choroidal structural parameters and body mass index (BMI) in an adult population. Methods: About 144 eyes of 144 healthy individuals were incorporated. There were four groups according to BMI values: Group 1 (⩽18.5), group 2 (18.6–24.9), group 3 (25.0–29.9), and group 4 (30.0–34.9). The enhanced depth imaging optical coherence tomography images were binarized using Image-J software. Choroidal thickness (CT), circumscribed choroidal area (CCA), luminal area (LA), stromal area (SA), and choroidal vascularity index (CVI) were calculated. Results: Mean subfoveal, nasal, and temporal CT were lower in group 4 rather than group 1 ( p = 0.032, p = 0.001, and p < 0.001, respectively). Mean nasal and temporal CT also showed a decrease in group 4 as compared to group 2 ( p = 0.04 and p = 0.039). Mean CCA and LA were decreased in group 4 in comparison to group 3 ( p = 0.001 and p = 0.001), group 2 ( p < 0.001 and p < 0.001), and group 1 ( p = 0.001 and p < 0.001). Mean SA showed a decrease only in group 3 rather than group 2 ( p = 0.021) and group 1 ( p = 0.008). Mean CVI was decreased in group 3 and group 4 in comparison to group 1 ( p < 0.001 and p < 0.001) and group 2 ( p = 0.002 and p < 0.001). Conclusion: Increased BMI percentile was associated with a decrease in CT and structural parameters.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Michael M Hammond ◽  
Joanne M Murabito ◽  
Ludovic Trinquart ◽  
Emelia J Benjamin ◽  
Honghuang Lin ◽  
...  

Introduction: The prevalence of obesity is rising. Most previous studies that examined the relationship between body mass index (BMI) and physical activity measured BMI at a single time-point, ignoring the time-varying nature of BMI. The relationship between BMI trajectories and habitual physical activity in community settings remains unclear. Objective: To assess the relationship between BMI trajectories and habitual physical activity measured by daily steps from a smartwatch, among participants enrolled in the electronic Framingham Heart Study (eFHS). We hypothesized that participants whose BMI trajectories increased over a 14-year period prior to the step assessment take fewer daily steps, compared to participants who maintained stable BMI trajectories during the same time period. Methods: We used a semiparametric group-based modelling method to identify BMI trajectory patterns. Participants who attended exams 1, 2, and 3 were included in building the trajectories. Daily steps were recorded from the smartwatch provided at exam 3 with “active days” defined as days with ≥ 5watch wear-hours. We excluded participants with <30 active days. The median follow-up period for step count was 357 days (IQR: 467 days). We used generalized linear models that accounted for correlation between daily steps in the same individuals to examine the longitudinal relationship between BMI trajectory groups and daily step counts, adjusting for relevant covariates. Results: We identified three trajectory groups for the 837 eFHS participants. Group 1 included 292 participants (mean age 54 years, 57% women) whose BMI was stable (slope: 0.005, p=0.75); Group 2 included 468 participants (mean age 53 years, 56% women) whose BMI increased slightly (slope: 0.123, p<9.2e-17); and Group 3 included 77 participants (mean age 50 years, 70% women) who had the largest increase of BMI (slope: 0.318, p=2.8e-22).Adjusting for age, sex, wear time and race/ethnicity, participants in group 3 (Δ1437 steps P< 0.0001) and Group 2 (Δ422 steps, P=0.04) took significantly fewer steps, compared to participants in Group 1 (Model 1). The effect sizes were slightly attenuated but remained significant after additionally adjusting for hypertension, type 2 diabetes, current smoking, and cardiovascular disease: Group 3 took 1258 fewer steps, P=0.0001; Group 2 took 406 fewer steps, P=0.04 (Model 2). We further adjusted for sleep apnea, education, and marital status in Model 3 and observed that on average Group 3 took 1120 fewer steps (P= 0.0007) and Group 2 took 382 fewer steps (P= 0.06), compared to Group 1. Conclusion: Participants whose BMI trajectory increased over time took significantly fewer steps compared to participants with more stable BMI trajectories. Our findings suggest that levels of physical activity may correlate with greater weight gain during adulthood.


2021 ◽  
Author(s):  
Serkan Usgu ◽  
Engin Ramazanoğlu ◽  
Yavuz Yakut

Abstract Background: The study was to determine influence of body mass index on muscular mechanical properties in people with obesity.Methods: A total of 300 individuals (mean age: 27.31±7.21 years) were participated. The participants were assigned in groups base on BMI classification (Group 1 (BMI=18.50-24.99 kg/m2), Group 2 (BMI=25.00-29.99 kg/m2), and Group 3 (BMI≥30 kg/m2)). The biceps brachii (BB), biceps femoris (BF) were measured bilaterally using the "MyotonPRO" device. Results: All mechanical properties of the right and left BB muscle, left BF tone and stiffness were found significantly difference between groups (p<0.05). The bilateral BB tone in Group 3 was lower than the other two groups. The right BB stiffness of Group 2 was found to be higher compared to the other two groups (p<0.05). While the right and left BB elasticity was similar in Groups 2 and 3, it was lower compared to Group 1 (p<0.05). The left BF tone and stiffness of Group 3 were found to be significantly higher than Groups 1 and 2 (p<0.05).The right BB tone showed a weak negative correlation with BMI in females, and for left side in males. A weak positive correlation was found between the right and left BB elasticity and BMI in males and females. The left-right BF tone and left BF stiffness showed a weak positive correlation in males. Conclusions: The bilateral BB tone and elasticity decreased, and the left BF stiffness increased as BMI increased. Different mechanical properties were observed in sex comparasion base on BMI clasification. The BB and BF mechanical properties were affected more in males than females.


2021 ◽  
Author(s):  
Michael M Hammond ◽  
Yuankai Zhang ◽  
Chathurangi H. Pathiravasan ◽  
Honghuang Lin ◽  
Mayank Sardana ◽  
...  

BACKGROUND The prevalence of obesity is rising. Most previous studies that examined the relations between body mass index (BMI) and physical activity (PA) measured BMI at a single time-point. The association between BMI trajectories and habitual PA remains unclear. OBJECTIVE We assessed the relations between BMI trajectories and habitual PA, among participants enrolled in the electronic Framingham Heart Study (eFHS). METHODS We used a semiparametric group-based modelling to identify BMI trajectories from eFHS participants who attended research examinations 1, 2, and 3 over a 14-year period. Daily steps were recorded from the smartwatch provided at examination 3. We excluded participants with <30 days or <5 hours of smartwatch wear data. We used generalized linear models to examine the association between BMI trajectories and daily step counts. RESULTS We identified three trajectory groups for the 837 eFHS participants (mean age: 53 years; 58% Female). Group 1 included 292 participants whose BMI was stable (slope: 0.005, P=.75); Group 2 included 468 participants whose BMI increased slightly (slope: 0.123, P<.001); and Group 3 included 77 participants whose BMI increased greatly (slope: 0.318, P<.001). The median follow-up period for step count was 357 days. Adjusting for age, sex, wear time, and cohort, participants in Group 2 and Group 3 took 422 steps (95% CI: -823, -21) and 1437 (95% CI: -2084, -790) fewer average daily steps, compared to participants in Group 1. After adjusting for metabolic and social risk factors, Group 2 took 382 (95% CI: -773, 10) and Group 3 took 1120 (95% CI: -1766, -475) fewer steps, compared to Group 1. CONCLUSIONS In this community-based eFHS, participants whose BMI trajectory increased greatly over time took significantly fewer steps, compared to participants with stable BMI trajectories. Our findings suggest that greater weight gain may correlate with lower levels of physical activity.


2009 ◽  
Vol 29 (2_suppl) ◽  
pp. 78-82 ◽  
Author(s):  
Yanjun Li ◽  
Jie Dong ◽  
Li Zuo

Objective We investigated whether patients with gastrointestinal (GI) symptoms were prone to be diagnosed as malnourished by subjective global assessment (SGA) by simultaneously evaluating SGA and other indices of nutrition in a cross-sectional survey of peritoneal dialysis (PD) patients. Patients and Method From June 2006 to June 2007, 214 PD patients were involved in the study. We recorded results of a GI symptoms questionnaire (GSQ) and SGA. Other indices of nutrition included dietary intake, chemistry examination, anthropometry, handgrip strength, and lean body mass measured by creatinine kinetics. Results Mean age of the 214 PD patients enrolled in the study was 60.22 ± 14.02 years, and mean dialysis duration was 60.22 ± 14.02 months. Of the 214 patients, 56 (27.16%) were diagnosed as malnourished by SGA. The mean GSQ scores were 9.37 ± 1.71 (range: 8 – 17). There were 90 patients with GSQ scores of 8 (group 1), 80 patients with scores of 9 or 10 (group 2), 44 patients with scores of 11 or more (group 3). The prevalence of malnutrition diagnosed by SGA was significantly different in the three groups: 15.56% in group 1, 27.5% in group 2, and 45.45% in group 3 ( p = 0.02). However, we observed no difference between the three groups in mid-arm circumference, skinfold thickness (biceps, triceps, subscapular, and suprailiac), daily protein and energy intake, handgrip strength, lean body mass, and serum albumin and prealbumin levels ( p > 0.05). Conclusions Our results showed that the reliability of SGA in PD patients with GI symptoms remains worth exploring. These patients are possibly diagnosed as malnourished by SGA, although many other indices of nutrition are not necessarily bad.


Children ◽  
2022 ◽  
Vol 9 (1) ◽  
pp. 110
Author(s):  
Sun-Jin Lee ◽  
Sun-Young Kim ◽  
Minsun Kim

Gonadotropin-releasing hormone agonist (GnRHa) therapy is used to control puberty progression and it preserves height potential in patients with idiopathic central precocious puberty (ICPP). This study evaluated the correlation between weight and height gain at menarche following GnRHa treatment among girls with ICPP and relatively central early puberty (EP). We investigated height/weight trends and changes in height from diagnosis to menarche in girls with ICPP and EP treated with GnRHa. The mean difference in height (Δheight) from treatment cessation to menarche was 9.79 ± 3.53 cm. Girls were divided into girls with Δheight ≥ 9.79 cm (Group 1) and girls with Δheight < 9.79 cm (Group 2). Although near adult height was significantly higher in Group 1, the mean body mass index (BMI) and weight were significantly lower at diagnosis, treatment discontinuation, and menarche. The BMI and weight at the three time points were negatively correlated with height. Girls with higher BMI at all three time points had slower growth rates during the study period. Considering that BMI and body weight were closely related to Δheight, proper management of BMI and body weight of girls receiving early puberty treatment might contribute to growth during and after GnRHa treatment.


EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
JW Park ◽  
PS Yang ◽  
HT Yu ◽  
TH Kim ◽  
ES Jang ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Obesity is known to be risk factor for incidence of cardiovascular (CV) events. However, the association between the reduction of body mass index (BMI) and incidence of cardiovascular event is not well established in elderly Asian population. Methods From the National Health Insurance Service-Senior (≥60 years) cohort from 2002 to 2013, 13,038 participants over 75 years old without baseline comorbidities (mean age: 78.4 ± 3.2 years 5243 (40.2%) male) were included in this study. We measured the change of BMI from first to second visit for health check-up within mean 23.6 ± 5.8months of follow-up. We categorized the reduction of BMI as five group according to the amount of change in BMI in overall patients (group 1: BMI change &lt;-10%, group 2: -10%≤BMI change&lt;-3%, group 3: -3% ≤ BMI change &lt; 3%, group 4: 3% ≤BMI change &lt; 10%, group 5: 10% ≤BMI change). We investigated the influence of change in BMI on the incidence of new-onset AF, stroke, acute myocardial infarction (MI), and CV mortality Results In the overall patients, new-onset AF, stroke, acute MI, and CV death was occurred in the 494 patients (3.5%), 775 patients (5.9%), 16 patients (0.1%), and 458 patients (3.5%) respectively. The Kaplan-Meier curve showed significant cumulative incidence rate of CV death in group 1 (Log rank p &lt; 0.001). The multivariate cox regression after adjusting for compound clinical covariates showed the risk of stroke (HR 1.43, 95% CI [1.09-1.89], p = 0.01) and CV death (HR 2.06, 95% CI [1.49-2.84] were significant higher in the group 1 as compared with group 3. In the high BMI (≥25) group, the risk of AF was significant higher in the group 5 as compared with group 3 (HR 2.38, 95% CI [1.02-5.54], p = 0.04). In contrast, the risk of stroke (HR 1.70, 95% CI [1.07-2.71], p = 0.02) and CV death (HR 3.27, 95% CI [1.66-6.41], p &lt; 0.001) was significant higher in the group 1 than in group 3. Conclusions In the elderly Asian population over 75 years old, the reduction of body weight affected worse effect on the incidence of stroke and CV death in overall patient and high BMI (≥25) group. It needs careful consideration to reduce BMI in the elderly Asian population even with high BMI (≥25) for purpose of CV events.


Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Shao-Yuan Chuang ◽  
Jonathan Jiunn-Horng Chen ◽  
Chih-Cheng Wu ◽  
Wen-Harn Pan

Few studies examine the association between serum uric acid (SUA) and acute coronary syndrome (ACS). We aimed to investigate the association between SUA and ACS in a prospective study of ethnic Chinese. Enrolled were 128569 adults ≥ 20 yrs from 4 MJ Health Checkup Clinics in Taiwan during 1994 –1996, excluding those with heart disease, stroke, renal disease and cancer disease. All physical examination, biochemical test and structured questionnaire were executed in standardized central labs. ACS was defined by main ICD-9 of 410 – 414 from claim data of National Health Insurance for hospitalization and from Death certification registry. Cox proportional hazard model was used to estimate the hazard ratios (HRs) between levels of SUA and ACS events. A total of 2049 subjects (Men: 1239/Women: 810) developed ACS during the period from baseline to Dec.31.2002. Men had higher ACS incidence than women (2.84 vs. 1.61 per 1000 person-years [PY]; p < .0001). Independent risk factors of ACS unfolded from this study included age, male sex, waist circumference, body mass index, triglycerides, total-cholesterol, hypertension, diabetes, uric acid, and current smoking. The crude incidences of ACS were 1.27, 2.06, 3.27 and 4.61 per 1000 PY in that order for four consecutive SUA groups (group1: <5.0 mg/dl; group 2: 5.0 – 6.9 mg/dl; group 3: 7.0 – 8.9 mg/dl; group 4: ≥9.0 mg/dl) (p-value for trend <.0001). Compared to group1, the multi-variate adjusted HRs (95% Confidence intervals) were 1.14 (0.92, 1.42) for group 2, 1.38 (1.10, 1.72) for group 3 and 1.38 (1.10, 1.72) for group 4 among men, and 1.03 (0.87, 1.22), 1.30 (1.05, 1.62) and 1.43 (0.99, 2.05) among women after adjusting for age, systolic/diastolic BP, body mass index, triglycerides, total cholesterol, diabetes, smoking, alcohol drinking, physical activity, and occupation. One standard deviation increase in SUA corresponded to around 30% ACS risk increase in women (HR=1.33; 1.04 –1.70) and 60% in men (HR=1.59; 1.25–2.03). Baseline SUA level independently predicts the development of ACS and should be considered as a potential risk factor of ACS.


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