Between Body Mass Index Change Research Articles

Impact of body mass index and its change on survival outcomes in patients with early breast cancer: A pooled analysis of individual-level data from BCIRG-001 and BCIRG-005 trials.

The relationships between body mass index (BMI) and survival rates are complex, and have not been thoroughly investigated in breast cancer patients who received adjuvant chemotherapy. We collected data on 2394 patients from two randomized, phase III clinical trials that investigated adjuvant chemotherapy in breast cancer identified in Project Data Sphere. The objective was to examine the effect of baseline BMI, BMI after adjuvant chemotherapy, and BMI change from baseline to post-adjuvant chemotherapy on disease-free survival (DFS) and overall survival (OS). Restricted cubic splines were used to examine potential non-linear associations between continuous BMI value and survival. Stratified analyses involved chemotherapy regimens. Severe obesity (BMI≥40.0kg/m2) at baseline was independently associated with worse DFS (hazard ration [HR]=1.48, 95% confidence interval [CI] 1.02-2.16, P=0.04) and OS (HR=1.79, 95%CI 1.17-2.74, P=0.007) compared with underweight/normal weight (BMI≤24.9kg/m2). A BMI loss >10% was also an independent prognostic factor for adverse OS (HR=2.14, 95%CI 1.17-3.93, P=0.014). Stratified analyses revealed that severe obesity adversely affected DFS (HR=2.38, 95%CI 1.26-4.34, P=0.007) and OS (HR=2.90, 95%CI 1.46-5.76, P=0.002) in the docetaxel-based group, but not in the non-docetaxel-based group. Restricted cubic splines revealed a "J-shaped" association of baseline BMI with risk of recurrence or all-cause death, and this relationship was more pronounced in the docetaxel-based group. In early breast cancer patients treated with adjuvant chemotherapy, baseline severe obesity was significantly linked to worse DFS and OS, and a BMI loss over 10% from baseline to post-adjuvant chemotherapy also negatively affected OS. Moreover, the prognostic role of BMI might differ between docetaxel-based and non-docetaxel-based groups.

Maternal body mass index and risk of fetal overgrowth in women with gestational diabetes Mellitus in Southeast China: a retrospective cohort study

BackgroundTo investigate the relationship between body mass index (BMI) changes and large for gestational age (LGA) in women with gestational diabetes mellitus (GDM).MethodsA retrospective cohort study including 10,486 women with GDM was conducted. A dose‒response analysis of BMI changes and the occurrence of LGA was performed. Binary logistic regressions were performed to assess crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were used to assess the ability of BMI changes to predict LGA.ResultsThe probability of LGA increased with increasing BMI. The risk of LGA increased across the BMI change quartiles. The BMI change remained positively associated with the risk of LGAafter stratification analysis. The AUC was 0.570 (95% CI: 0.557 ~ 0.584)in the entire study population, and the best optimal predictive cut-off value was 4.922, with a sensitivity of 0.622 and a specificity of 0.486. The best optimal predictive cut-off value decreased from the underweight group to the overweight and obese group.ConclusionsBMI changes are related to the risk of LGA and may be a useful predictor of the incidence of LGA in singleton pregnant women with GDM.

Analysis of Body Mass Index in Early and Middle Adulthood and Estimated Risk of Gastrointestinal Cancer

In a population with significantly increasing rates of individuals with overweight or obesity, understanding the association of obesity with long-term disease risk, such as cancer, is necessary to improve public health. To investigate the association between body mass index (BMI) and gastrointestinal (GI) cancer risk (colorectal cancer [CRC] and noncolorectal GI cancer) in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. This retrospective cohort study was a secondary analysis of data from the PLCO Cancer Screening Trial. Participants aged 55 to 74 years were enrolled and randomized to the intervention (screening group) or control group at 10 screening centers between November 8, 1993, and July 2, 2001. The initial analysis of PLCO Cancer Screening Trial data occurred after 13 years of follow-up or December 31, 2009, whichever came first. Participants were reconsented in 2011 and either continued follow-up or refused additional follow-up. For those who reconsented, follow-up for incident cancers continued until December 31, 2014, or death, whichever occurred first. Data analysis for this secondary analysis was performed from April 2022 through November 2022. Body mass index and aspirin use, defined as the frequency of use of aspirin or aspirin-containing substances in the last 12 months. The primary outcomes were the diagnoses of CRC and noncolorectal GI cancer. The association between BMI and cancer (CRC and noncolorectal GI cancer) was assessed using Cox proportional hazards regression modeling. The association between cancer risk and change in BMI was further analyzed at different ages, and an exploratory analysis was performed to evaluate GI cancer risk among aspirin users. This analysis included 135 161 participants (median [range] age, 62 [55-78] years; 67 643 [50.0%] female). Overweight BMI in early adulthood (hazard ratio [HR], 1.23; 95% CI, 1.10-1.37) and overweight BMI in middle adulthood (HR, 1.23; 95% CI, 1.13-1.34) and later adulthood (HR, 1.21; 95% CI, 1.10-1.32) as well as obese BMI in middle adulthood (HR, 1.55; 95% CI, 1.38-1.75) and later adulthood (HR, 1.39; 95% CI, 1.25-1.54) were associated with increased risk of CRC. Similar results were observed for the association with overall GI and non-CRC GI risk and BMI in middle and later adulthood. Maintaining overweight or obese BMI or increasing BMI to overweight or obese in later adulthood was also associated with increased CRC risk. Aspirin use 3 or more times per week did not significantly modify this association. In this secondary analysis of the PLCO Cancer Screening Trial, overweight and obese BMI in early and middle adulthood was associated with an elevated risk of CRC and noncolorectal GI cancers. The results of the current study prompt further exploration into the mechanistic role of obese BMI in carcinogenesis.

Home-based exercise alters pulmonary function and cellular stress markers in overweight middle-aged men during covid-19 Home quarantine

BackgroundThis study aimed to investigate the effects of a combined home-based exercise program on potential indicators of severe coronavirus disease 2019 (COVID-19) in overweight middle-aged men during home quarantine caused by COVID-19.MethodsForty men (aged 45–64 years) were assigned to the exercise (EXE, n = 20) or control (CON, n = 20) groups. A 6-week combined program was carried out three days/week, starting at 20 min per session at 50% maximal heart rate (HRmax) and advancing to 45 min at 70% HRmax. Pulmonary functional and cellular stress biomarkers were measured before and after the training program. Analysis of the covariance (ANCOVA) was used for comparison between the two groups considering the baseline values.ResultsThirty-six participants (EXE, n = 17; CON, n = 19) completed the research protocol. The EXE group showed post-training improvements in forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), FEV1/FVC, Vital capacity (VC), and Forced expiratory flow at 25-75% (FEF25-75) compared to the CON group (P < 0. 05). Further, the plasma levels of fibrinogen, Interleukin (IL)-6, Interleukin (IL)-1β, D-dimer, and angiotensin (Ang II) decreased in the EXE group compared to the CON group (P < 0. 05). After six weeks of the training program, leukocyte counts increased in the EXE group compared to the CON group (P < 0. 05). There was a significant positive correlation between body mass index (BMI) with cardiovascular and inflammatory biomarkers other than white blood cells (WBC) in the EXE group (P < 0.05).ConclusionsThe findings suggest that combined home-based exercise during home quarantine improves risk factors for severe COVID-19 in overweight middle-aged men. These improvements were further correlated with changes in BMI. Future research is required to confirm the findings of this study.

BMI Trajectories in Late Middle Age, Genetic Risk, and Incident Diabetes in Older Adults: Evidence From a 26-Year Longitudinal Study.

This study investigated the association between body mass index (BMI) trajectories in late middle age and incident diabetes in later years. A total of 11,441 participants aged 50-60 years from the Health and Retirement Study with at least 2 self-reported BMI records were included. Individual BMI trajectories representing average BMI changes per year were generated using multilevel modeling. Adjusted risk ratios (ARRs) and 95% confidence intervals (95% CIs) were calculated. Associations between BMI trajectories and diabetes risk in participants with different genetic risks were estimated for 5,720 participants of European ancestry. BMI trajectories were significantly associated with diabetes risk in older age (slowly increasing vs. stable: ARR = 1.31, 95% CI: 1.12, 1.54; rapidly increasing vs. stable: ARR = 1.5, 95% CI: 1.25, 1.79). This association was strongest for normal-initial-BMI participants (slowly increasing: ARR = 1.34, 95% CI: 0.96, 1.88; rapidly increasing: ARR = 2.06, 95% CI: 1.37, 3.11). Participants with a higher genetic liability to diabetes and a rapidly increasing BMI trajectory had the highest risk for diabetes (ARR = 2.15, 95% CI: 1.67, 2.76). These findings confirmed that BMI is the leading risk factor for diabetes and that although the normal BMI group has the lowest incidence rate for diabetes, people with normal BMI are most sensitive to changes in BMI.

The Impact of BMI Changes on the Incidence of Glomerular Hematuria in Korean Adults: A Retrospective Study Based on the NHIS-HEALS Cohort

Obesity and recurrent hematuria are known risk factors for chronic kidney disease. However, there has been controversy on the association between obesity and glomerular hematuria. This study aimed to investigate the association between body mass index (BMI) and weight change and recurrent and persistent hematuria in glomerular disease using a large-scale, population-based Korean cohort. Data were collected from the National Health Insurance Service-National Health Screening Cohort. Cox proportional hazards regression analysis was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for recurrent and persistent hematuria in glomerular disease according to the BMI group. Compared with the BMI 23-25 kg/m2 group, the HR (95% CI) for incident recurrent and persistent hematuria in glomerular disease was 0.921 (0.831-1.021) in the BMI <23 kg/m2 group, 0.915 (0.823-1.018) in the BMI 25-30 kg/m2 group, and 1.151 (0.907-1.462) in the BMI ≥30 kg/m2 group. Compared with the stable weight group, the HRs (95% CIs) for incident recurrent and persistent hematuria in glomerular disease were 1.364 (1.029-1.808) and 0.985 (0.733-1.325) in the significant weight loss and gain groups, respectively. Despite adjusting for confounders, this result remained significant. Baseline BMI was not associated with the risk of incident recurrent and persistent hematuria in glomerular disease. Weight loss greater than 10% was associated with the incidence of recurrent and persistent hematuria in glomerular disease. Therefore, maintaining an individual's weight could help prevent recurrent and persistent hematuria in glomerular disease in middle-aged and older Korean adults.

Waitlist and posttransplantation outcomes of lean individuals with nonalcoholic fatty liver disease.

Lean individuals with nonalcoholic fatty liver disease (NAFLD) represent a subset of patients with a distinct risk factor profile. We assessed the association between body mass index (BMI) on waitlist and postliver transplantation (LT) outcomes among these patients. We retrospectively analyzed the United Network for Organ Sharing data, including adult patients with NAFLD listed for LT between February 27, 2002, and June 30, 2020. We first used competing risk analyses to estimate the association of BMI with waitlist removal due to death or clinical deterioration. We then conducted Kaplan-Meier estimates and Cox regression models to determine the impact of weight change during the waiting list on all-cause mortality and graft failure after LT. Patients with normal weight (BMI 18.5-24.9 kg/m 2 ) suffered higher waitlist removal (adjusted subdistribution hazard ratio 1.26, 95% confidence interval [CI] 1.10-1.43; p =0.001) compared with patients with obesity class I (BMI 30-34.9 kg/m 2 ). Those who remained at normal weight had higher all-cause mortality (adjusted hazard ratio [aHR] 1.61, 95% CI 1.32-1.96; p <0.001) and graft failure (aHR 1.57, 95% CI 1.32-1.88; p <0.001) than patients with stable obesity. Among patients with normal weight, those with the greatest weight increase (BMI gain ≥3 kg/m 2 ) had lower all-cause mortality (aHR 0.55, 95% CI 0.33-0.93; p =0.03) and graft failure (aHR 0.49, 95% CI 0.30-0.81; p =0.01) compared with patients with stable weight (BMI change ≤1 kg/m 2 ). Patients with NAFLD with normal weight have increased waitlist removal and those who remained at normal weight during the waitlist period have worse posttransplantation outcomes. Identifying and addressing factors influencing apparent healthy weight prior to LT are crucial to mitigate poor outcomes.

Body mass index and incidence of lung cancer in the HUNT study: using observational and Mendelian randomization approaches

BackgroundTraditional observational studies have shown an inverse association between body mass index (BMI) and lung cancer risk. Mendelian randomization (MR) analysis using genetic variants as instruments for BMI may clarify the nature of the association.AimsWe studied the causal association between BMI and lung cancer incidence using observational and MR approaches.MethodsWe followed up 62,453 cancer-free Norwegian adults from 1995–97 (HUNT2) until 2017. BMI at baseline in HUNT2 was classified as < 25.0, 25.0–29.9 and ≥ 30.0 kg/m2. BMI change over ten years between HUNT1 (1984–86) and HUNT2 was calculated and classified into quartiles. Seventy-five genetic variants were included as instruments for BMI (among which 14 also associated with smoking behavior). Incident lung cancer cases were ascertained from the Cancer Registry of Norway. Cox regression models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). Multivariable MR was used to examine the effect of BMI after genetically controlling for smoking.ResultsDuring a median follow-up of 21.1 years, 1009 participants developed lung cancer including 327 with lung adenocarcinoma. The HRs and 95% CIs for incidence of adenocarcinoma were 0.73 (0.58–0.92) for BMI 25.0–29.9 kg/m2 and 0.53 (0.37–0.76) for BMI ≥ 30 kg/m2 compared with BMI < 25.0 kg/m2 in HUNT2 (P for trend < 0.001). However, there was little evidence of a dose–response relationship between the BMI change from HUNT1 to HUNT2 in quartiles and the incidence of adenocarcinoma (P for trend = 0.08). Furthermore, multivariable MR approach suggested a positive association between genetically determined 1 kg/m2 increase in BMI and the incidence of adenocarcinoma (HR 1.25, 95% CI 1.02–1.53). No associations were found with other lung cancer histologic types.ConclusionsOur study suggests that the inverse association between baseline BMI and lung adenocarcinoma in observational analysis may not be causal. More MR studies are needed to confirm our finding of a positive association between BMI and lung adenocarcinoma.

Initial BMI and Weight Loss over Time Predict Mortality in Parkinson Disease.

Although weight loss is a frequent symptom in Parkinson disease (PD), there have been few studies on the association between body mass index (BMI) and mortality. The objective of this study was to investigate the association between BMI and change in BMI at diagnosis in patients with PD and all-cause mortality. Cohort study using Korean National Health Insurance Service-Elderly Cohort data. Patients with new-onset PD were selected using the International Classification of Diseases 10th edition code (G20). Then, patients who were diagnosed more than 3 times with PD and had been prescribed anti-parkinsonian medication for ≥30days were included. Those with a combined diagnosis of atypical parkinsonism and secondary parkinsonism were excluded. The primary outcome was all-cause mortality. Anthropometric data, including height and weight, were obtained from the health screening data to calculate BMI. The Cox proportional hazards model was used to assess mortality risk by BMI. Among the 2703 patients with PD, 492 (18.20%) died during the 11-year follow-up period. There was a significant inverse dose-response relationship between baseline BMI and mortality [<18.5kg/m2: hazard ratio (HR), 1.872, 95% CI, 1.338-2.494; 23-25kg/m2: HR, 0.695, 95% CI, 0.546-0.886; 25-30kg/m2: HR, 0.644, 95% CI, 0.476-0.869; ≥30kg/m2: HR, 0.396, 95% CI, 0.165-0.950]. Change in BMI of 10% revealed a significant association with mortality. Subgroup analyses by sex showed a significant inverse dose-response relationship between BMI and all-cause mortality only in women. We demonstrated an inverse dose-response association between BMI at diagnosis and mortality in patients with PD, especially in women. Early detection of PD before weight loss progression and proper management might improve mortality. The small number of obese PD participants in our study should be considered when interpreting and generalizing results.

Postoperative outcomes of minimally invasive adrenalectomy: do body mass index and tumor size matter? A single-center experience

BackgroundSince Gagner performed the first laparoscopic adrenalectomy in 1992, laparoscopy has become the gold-standard procedure in the treatment of adrenal surgical diseases. A review of the literature indicates that the rate of intra- and postoperative complications are not negligible. This study aims to describe the single-center experience of adrenalectomies; and explore the associations between body mass index (BMI) and tumor volume in main postoperative outcomes.MethodsRetrospective observational study with a prospective database in which we described patients who underwent adrenalectomy between January 2015 and December 2020. Operative time, intraoperative blood loss, conversion rate, complications, length of hospital stay, and comparison of the number of antihypertensive drugs used before and after surgery were analyzed. Analysis of BMI and tumor volume with postoperative outcomes such as anti-hypertensive change (AHC) in drug usage and pre-operative conditions were performed.ResultsForty-five adrenalectomies were performed, and all of them were carried out laparoscopically. Four were performed as a robot-assisted laparoscopy approach. Nineteen were women and 26 were men. Mean age was 54.9 ± 13.8 years. Mean tumor volume was 95.698 mm3 (3.75–1010.87). Mean operative time was shorter in right tumors (2.64 ± 0.75 h) than in left tumors (3.33 ± 2.73 h). Pearson correlation was performed to assess the relationship between BMI and AHC showing a direct relationship between increased BMI and higher change in anti-hypertensive drug usage at postoperative period r(45) = 0.92, p > 0.05 CI 95%. Higher tumor volume showed a longer operative time, r(45) = 0.6 (p = 0.000 CI 95%).ConclusionsObese patients could have an increased impact with surgery with an increased change in postoperative anti-hypertensive management. Tumor volume is associated with increased operative time and blood loss, our data suggest that it could be associated with increased rates of morbidity. However, further prospective studies with larger sample sizes are needed to validate our results.

Effects of Body Mass Index on Brain Structures in the Elderly: Longitudinal Analyses.

The relationship between obesity and neurocognitive consequences is complex. Here we investigated associations between body mass index (BMI) and subsequent changes in brain structures, cognitive changes, and the onset of dementia after adjustment of a wide range of potential confounding variables using a large prospective cohort data of UK Biobank. After correcting for confounding factors, higher BMI was associated with greater retention in visuospatial memory performance (decline in error numbers) [beta = -0.019 (CI:-0.027~-0.016), N = 39191], increase in depression tendency scores [beta = 0.036(0.027~0.045)] as well as decreased risk of incident dementia [increasing BMI by 1 is associated with HR of 0.981 (CI:0.969~0.992), N = 398782], but not changes in fluid intelligence or reaction time. Whole brain multiple regression analyses (volumetric analyses: N = 1253, other analyses: N = 1241) revealed positive associations between BMI and subsequent changes in regional gray matter volume (rGMV) in multiple areas, regional white matter volume changes in widespread white matter (WM) tracts, fractional anisotropy changes in several tracts, and intracellular volume fraction (ICVF) and orientation dispersion (OD) in widespread areas, and isotropic volume fraction (ISOVF) in a few areas, and negative associations between BMI and subsequent changes in rGMV in the bilateral medial temporal lobe areas, mean, axial and radial diffusivity, and ISOVF in widespread areas. These results are mostly consistent with the view that less BMI precedes greater neurocognitive aging or atrophy, with a few exceptions including OD findings and the rGMV finding of the medial temporal lobes as most of significant longitudinal associations of higher BMI were opposite to those seen in higher age and dementia. Future epidemiological studies should consider separating effects of higher BMI itself from potential confounders.

Association between body mass index changes and other risk factors for cardiovascular disease in patients with type 2 diabetes mellitus

Objectives: To investigate the association between body mass index (BMI) changes and other risk factors for cardiovascular disease in patients with type 2 diabetes mellitus (T2DM). Methods: Based on the T2DM cohort in rural communities of Zhejiang province, baseline and follow up information of height, weight, blood pressure, glycated hemoglobin (HbA1c), TC, TG, LDL-C and HDL-C of the T2DM patients were collected. After excluding those who died during the follow-up period, lost follow-up or had incomplete information, a total of 8 953 T2DM patients were included in the final analysis. Multiple linear regression and Cox proportional hazards regression models were used for analysis. Results: At baseline survey, 40.97% of the T2DM patients were overweight and obese. Compared with those with normal BMI, the SBP, DBP and TG level were significantly higher, while HDL-C level was significantly lower in the overweight and obese T2DM patients (P<0.01). During the follow-up period, the blood glucose control rate in the patients increased by 15%, and the levels of HbA1c decreased in the patients with different BMI changes at different degrees. Compared with the patients who kept normal BMI, the HbA1c level decrease had a smaller range, while the SBP and DBP increase had a larger range in the patients with persistent overweight and obesity, and their substandard rates of HbA1c, SBP, DBP, TG, HDL-C levels were 1.142 (1.057-1.233) times, 1.123 (1.055-1.196) times, 1.220 (1.128-1.320) times, 1.400 (1.282-1.528) times and 1.164 (1.069-1.267) times higher. The changes of blood pressure, blood lipids and other related indicators in the patients whose BMI became abnormal were similar to those of the patients with persistent overweight and obesity; Compared with the patients whose BMI were kept normal, the differences in changes and substandard rate of blood glucose level, blood pressure level in the patients whose BMI became normal were not significant (P>0.05). The change value of BMI was positively correlated with the change value of SBP, DBP, TG and LDL-C, while negatively correlated with the change value of HDL-C (P<0.05). Conclusions: Abnormal changes in BMI are associated with the adverse changes of blood glucose level, blood pressure, and blood lipids level and other cardiovascular disease risk factors. Keeping normal BMI would benefit the positive outcome of cardiovascular adverse factors.

Investigating the relationship between BMI across adulthood and late life brain pathologies

BackgroundIn view of reported associations between high adiposity, particularly in midlife and late-life dementia risk, we aimed to determine associations between body mass index (BMI), and BMI changes across adulthood and brain structure and pathology at age 69–71 years.MethodsFour hundred sixty-five dementia-free participants from Insight 46, a sub-study of the British 1946 birth cohort, who had cross-sectional T1/FLAIR volumetric MRI, and florbetapir amyloid-PET imaging at age 69–71 years, were included in analyses. We quantified white matter hyperintensity volume (WMHV) using T1 and FLAIR 3D-MRI; β-amyloid (Aβ) positivity/negativity using a SUVR approach; and whole brain (WBV) and hippocampal volumes (HV) using 3D T1-MRI. We investigated the influence of BMI, and BMI changes at and between 36, 43, 53, 60–64, 69 and 71 years, on late-life WMHV, Aβ-status, WBV and mean HV. Analyses were repeated using overweight and obese status.ResultsAt no time-point was BMI, change in BMI or overweight/obese status associated with WMHV or WBV at age 69–71 years. Decreasing BMI in the 1–2 years before imaging was associated with an increased odds of being β-amyloid positive (OR 1.45, 95% confidence interval 1.09, 1.92). There were associations between being overweight and larger mean HV at ages 60–64 (β = 0.073 ml, 95% CI 0.009, 0.137), 69 (β = 0.076 ml, 95% CI 0.012, 0.140) and 71 years (β = 0.101 ml, 95% CI 0.037, 0.165). A similar, albeit weaker, trend was seen with obese status.ConclusionsUsing WMHV, β-amyloid status and brain volumes as indicators of brain health, we do not find evidence to explain reported associations between midlife obesity and late-life dementia risk. Declining BMI in later life may reflect preclinical Alzheimer’s disease.

The relationship between kidney function and body mass index before and after bariatric surgery in patients with chronic kidney disease.

Improvements in kidney function post-bariatric surgery may be related to weight loss-independent effects. To characterize the dynamic relationship between body mass index (BMI) and estimated glomerular filtration rate (eGFR) before and after bariatric surgery in patients with chronic kidney disease (CKD). Kaiser Permanente Southern California (KPSC) health system. We conducted an observational, retrospective cohort study of patients with CKD stage 3 or higher who received bariatric surgery at the KPSC health system between 2007-2015. Bariatric surgery procedures included primary Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG) procedures. Outcomes consisted of mean trajectory estimates and correlations of BMI and eGFR taken between 2 years before and 3 years after surgery. Multivariate functional mixed models were used to estimate how BMI and eGFR trajectories evolved jointly. A total of 619 RYGB and 474 SG patients were included in the final analytic sample. The measurements were available before surgery for a median time of 1.9 years for SG and 1.8 years for RYGB patients. Median follow-up times after surgery were 2.8 years for both SG and RYGB patients. The mean age at the time of surgery was 58 years; 77% of patients were women; 56% of patients were non-Hispanic White; the mean BMI was 44 kg/m2; 60% of patients had diabetes mellitus; and 84% of patients had hypertension. Compared to the presurgery eGFR declines, the postsurgery declines in eGFR were 57% slower (95% credible interval [CrI], 33%-81%) for RYGB patients and 55% slower (95% CrI, 25%-75%) for SG patients. The mean correlation between BMI and eGFR was negligible at all time points. Though bariatric surgery slowed declines in eGFR up to 3 years after surgery, changes in eGFR tracked poorly with changes in BMI. This study provides evidence that the kidney-related benefits of bariatric surgery may be at least partly independent of weight loss. Confirming this hypothesis could lead to mechanistic insights and new treatment options for CKD.

Body Mass Index, Chemotherapy-Related Weight Changes, and Disease-Free Survival in Haitian Women With Nonmetastatic Breast Cancer.

PURPOSEFew studies have explored the relationship between body habitus and breast cancer outcomes in Caribbean women of African ancestry. This study evaluates the association between body mass index (BMI) and disease-free survival (DFS) in a retrospective cohort of 224 female Haitian patients with nonmetastatic breast cancer.PATIENTS AND METHODSBMI was obtained from the medical records and categorized as normal weight (< 25 kg/m2), overweight (25-29.9 kg/m2), and obese (≥ 30 kg/m2). DFS was defined as time from surgical resection to disease recurrence, death, or censoring. Kaplan-Meier survival curves were generated, and the association between BMI and DFS was evaluated using Cox proportional hazard models to control for multiple confounders. Exploratory analyses were conducted on weight changes during adjuvant chemotherapy.RESULTSEighty-three patients (37.1%) were normal weight, 66 (29.5%) were overweight, and 75 (33.5%) were obese. There were no statistical differences in baseline characteristics or treatments received by BMI group. Twenty-six patients died and 73 had disease recurrence. Median DFS was 41.1 months. Kaplan-Meier estimates showed no significant DFS differences by BMI categories. After controlling for confounders, normal weight patients, when compared with overweight and obese patients, had adjusted hazard ratios of 0.85 (95% CI, 0.49 to 1.49) and 0.90 (95% CI, 0.52 to 1.55), respectively. Overall, mean weight loss of 2% of body weight was noted over the course of adjuvant chemotherapy. Patients who were postmenopausal (P = .007) and obese (P = .05) lost more weight than other groups. However, chemotherapy-related weight changes did not have an impact on DFS.CONCLUSIONBaseline BMI and weight changes during adjuvant chemotherapy did not have an impact on DFS in this cohort. Future prospective studies in similar Caribbean breast cancer cohorts are needed to verify study findings.

Changes in Body Mass Index Are Related to Faster Cognitive Decline Among African American Older Adults.

The purpose of this study was to: (1) examine relationships between body mass index (BMI) stability and cognitive decline in older African Americans; and (2) investigate differences in the relationships between women and men. The present study is a secondary data analysis of the Minority Aging Research Study, which is a longitudinal, cohort study of risk factors for cognitive decline and Alzheimer's disease among older African Americans living in the Chicago, IL, area. The study entails annual clinical evaluations, including measures of 19 neuropsychological tests that represent five cognitive domains, including episodic, semantic, and working memory, perceptual speed, and visuospatial ability. Participants (n = 671; mean age = 73.5 years; standard deviation = 6.2 years) were included in the present analysis if they were dementia free at baseline and completed at least two clinical evaluations, on average 1 year apart, that included valid cognitive and BMI assessments. Mixed-effects models showed higher baseline BMI was related to slower global cognitive decline, whereas changes in BMI (instability) were related to faster global cognitive decline. These effects were the same for four of five cognitive domains and remained after controlling for various health characteristics. However, women and men did not differ in any of the relationships. Higher BMI is related to slower cognitive decline in older African Americans, but greater BMI instability is related to faster decline. Stability of BMI should be considered in the cognitive aging of African Americans.

Etiologic heterogeneity of clear-cell and papillary renal cell carcinoma in the Netherlands Cohort Study.

At present, mostly case‐control and retrospective studies have investigated the association between etiologic risk factors and the development of histologic subtypes of renal cell carcinoma (RCC). Therefore, we assessed the heterogeneity between body mass index (BMI), cigarette smoking, alcohol consumption and hypertension across clear‐cell RCC (ccRCC) and papillary RCC (pRCC) risk in the prospective Netherlands Cohort Study on diet and cancer. In 1986, 120 852 participants aged 55 to 69 completed a self‐administered questionnaire on diet and other risk factors for cancer. Participants were followed up for cancer through record linkage. Tumor histology was assessed through centralized revision by two experienced uropathologists. After 20.3 years of follow‐up, 384 histologically verified RCC cases, including 315 ccRCC and 46 pRCC cases and 4144 subcohort members were eligible for case‐cohort analysis. Hazard ratios and 95% confidence intervals were estimated by multivariable‐adjusted proportional hazards models. Overall, BMI was associated positively with ccRCC risk, but inversely with pRCC risk. Cigarette smoking was associated with an increased ccRCC, but a decreased pRCC risk. Alcohol consumption was inversely associated with both ccRCC and pRCC risk. Hypertension was associated with an increased risk of both ccRCC and pRCC. Statistically significant etiologic heterogeneity was observed for BMI, BMI change since age 20, and smoking duration in current smokers across ccRCC and pRCC risk. In conclusion, we observed potential heterogeneity for BMI, BMI change and smoking duration across ccRCC and pRCC risk.

Abstract C069: Body mass index, race, and ovarian cancer: Characterizing changes after diagnosis and associations with overall survival

Abstract Background: Obesity has been implicated in the progression of ovarian cancer, but associations between body mass index (BMI) and survival outcomes are mixed. Studies evaluating pre- or peri-diagnosis BMI have generally found associations between higher BMI and worse overall survival (OS), but studies with post-diagnosis BMI measures are limited. Furthermore, no existing post-diagnosis BMI and ovarian cancer survival studies have conducted analyses stratified by race. Objective: We undertook this study to characterize changes over time in BMI among ovarian cancer cases from the Vanderbilt University Medical Center (VUMC) and to evaluate associations in relation to overall survival (OS); differences by race were examined in stratified analyses. Methods: We assembled a retrospective cohort of Tumor Registry confirmed ovarian cancer cases from VUMC EMR. BMI (kg/m2) at diagnosis, and 6, 12, 18, and 24 months after diagnosis (±8 weeks) were used to classify obesity according to the World Health Organization (WHO) guidelines as underweight (&amp;lt;18.5), normal weight (&amp;lt;25), overweight (&amp;lt;30), or obese (≥30.0). BMI changes over time were determined by the ratio of the last to first available measure, and categorized as increased (&amp;gt;1.05%), decreased (&amp;lt;0.95), or stable (reference). Associations with OS were quantified by Hazard Ratios (HRs) and 95% Confidence Intervals (CIs) from Cox proportional-hazards regression in multivariable adjusted race-stratified analyses. Results: Among 380 ovarian cancer cases with peri- or post-diagnosis BMI measures available from EMR, the relative prevalence of WHO normal weight cases decreased over time (diagnosis: 40.4%; 6 months: 38.2%; 12 months: 35.5%; 18 months: 27.7%; 24 months: 22.8%); there were more cases who had a decreased BMI (46.6%) than increased BMI (28.4%). Neither the prevalence nor percent of patients with changes differed by race. Among Caucasians (86.8%), a BMI increase was associated with a decreased risk of death (HR: 0.62, 95% CI: 0.40-0.97) while a BMI decrease was associated with an increased risk of death (HR: 2.18, 95% CI: 1.51-3.17). However, this seemed to differ among African Americans (6.1%), where both an increased and decreased BMI tended to have worse OS. Conclusions: Changes in BMI after a diagnosis of ovarian cancer may have different associations with mortality by race. To further expand upon these preliminary findings, our next steps include conducting analysis with time-varying covariates and identifying collaborators with ovarian cancer cases who have post-diagnosis BMI measures available for additional analysis. Citation Format: Alicia Beeghly-Fadiel, Nneka J Anyanwu, Shyria Karam, Demetra Hufnagel, George Bukenya, Sara Duque, Deok Son, Andrew J Wilson, Marta A Crispens. Body mass index, race, and ovarian cancer: Characterizing changes after diagnosis and associations with overall survival [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr C069.

A bi-directional association between weight change and health-related quality of life: evidence from the 11-year follow-up of 9916 community-dwelling adults.

To examine the prospective associations between body mass index (BMI) and health-related quality of life (HRQoL). Data were extracted from a longitudinal, nationally representative sample of 9916 men and women aged 18years and over who were followed annually between 2006 and 2016 in the Household, Income and Labour Dynamics in Australia (HILDA) survey. HRQoL was assessed using the self-administered SF-36 questionnaire annually between 2006 (baseline) and 2016. BMI was calculated from self-reported height and weight and was classified into the following four categories of baseline BMI: underweight (< 18.5kg/m2), normal weight (18.5-24.9kg/m2), overweight (25-29.9kg/m2) and obese (≥ 30kg/m2). We used linear mixed-effects regression models to investigate the associations between change in BMI (kg/m2) and concurrent changes in HRQoL scores over 11 years. BMI gain was associated with deterioration of Physical Component Summary (PCS) (P < 0.001), but not with change in Mental component summary (MCS) over the 11-year period. BMI gain was inversely associated (P < 0.001) with five of the eight HRQoL domains (physical functioning, role physical, bodily pain, general health and vitality) with a significant graded association according to baseline BMI category. Over the 11-year study period, every unit increase in PCS was associated with a decrease of 0.02 (P < 0.001), 0.03 (P < 0.001) and 0.04 (P < 0.001) BMI units per year among participants who were normal, overweight and obese at baseline, respectively. Five of the eight domains of HRQoL (physical functioning, role physical, bodily pain, general health and vitality) were inversely associated with BMI (P < 0.001) with a significant graded association according to baseline BMI category. Weight gain was not only associated with deterioration of HRQoL, and vice versa. The bi-directional association was stronger for physical than mental domains of HRQoL.

Effect of late-life weight change on dementia incidence: a 10-year cohort study using claim data in Korea

BackgroundThe association between body mass index (BMI) in late-life and dementia risk remains unclear. We investigated the association between BMI changes over a 2-year period and dementia in an elderly...