The reduction of body mass index and risk of incidence of cardiovascular events in the elderly population

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 <-10%, group 2: -10%≤BMI change<-3%, group 3: -3% ≤ BMI change < 3%, group 4: 3% ≤BMI change < 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 < 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 < 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.

Download Full-text

The association of dialysis adequacy, body mass index, and mortality among hemodialysis patients

BMC Nephrology ◽

10.1186/s12882-019-1570-0 ◽

2019 ◽

Vol 20 (1) ◽

Cited By ~ 2

Author(s):

Woong-pyo Hong ◽

Yu-Ji Lee

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Mortality Risk ◽

Cox Regression ◽

Target Range ◽

Dialysis Adequacy ◽

Cox Regression Analysis ◽

Increased Risk ◽

All Cause Mortality ◽

High Bmi

Abstract Background Although hemodialysis (HD) adequacy, single-pool Kt/Vurea (spKt/V), is inversely correlated with body size, each is known to affect patient survival in the same direction. Therefore, we sought to examine the relationship between HD adequacy and mortality according to body mass index (BMI) in HD patients and explore a combination effect of BMI and HD adequacy on mortality risk. Methods We retrospectively reviewed patient data from the Korean Society of Nephrology registry, a nationwide database of medical records of HD patients, from January 2001 to June 2017. We included patients ≥18 years old who were receiving maintenance HD. Patients were categorized into three groups according to baseline BMI (< 20 (low), 20 to < 23 (normal), and ≥ 23 (high) kg/m2). Baseline spKt/V was divided into six categories. Results Among 18,242 patients on HD, the median follow-up duration was 5.2 (IQR, 1.9–8.9) years. Cox regression analysis showed that, compared to the reference (spKt/V 1.2–1.4), lower and higher baseline spKt/V were associated with greater and lower risks for all-cause mortality, respectively. However, among patients with high BMI (n = 5588), the association between higher spKt/V and lower all-cause mortality was attenuated in all adjusted models (Pinteraction < 0.001). Compared to patients with normal BMI and spKt/V within the target range (1.2–1.4), those with low BMI had a higher risk for all-cause mortality at all spKt/V levels. However, the gap in mortality risk became narrower for higher values of spKt/V. Compared to patients with normal BMI and spKt/V in the target range, those with high BMI and spKt/V < 1.2 were not at increased risk for mortality despite low dialysis adequacy. Conclusions The association between spKt/V and mortality in HD patients may be modified by BMI.

Download Full-text

Blood-based-inflammation-markers, body mass index, and survival of nonmetastatic esophageal cancer.

Journal of Clinical Oncology ◽

10.1200/jco.2020.38.4_suppl.324 ◽

2020 ◽

Vol 38 (4_suppl) ◽

pp. 324-324

Author(s):

Wanning Wang ◽

Joelle Soriano ◽

Tyler Soberano ◽

Katrina Hueniken ◽

M. Catherine Brown ◽

...

Keyword(s):

Body Mass Index ◽

Esophageal Cancer ◽

Body Mass ◽

Cox Regression ◽

Locally Advanced ◽

Continuous Variables ◽

Inflammation Markers ◽

Lymphocyte Ratio ◽

Risk Of Death ◽

High Bmi

324 Background: Blood-based-inflammation-markers (BBIM) and Body Mass Index (BMI) have been associated with overall survival (OS) in a number of cancers. Inflammation and obesity have biological interactions. We evaluated the role of Neutrophil-to-Lymphocyte-Ratio (NLR), Platelet-to-Lymphocyte-Ratio (PLR) and Systemic-Inflammation-Index (SII) in conjunction with BMI as predictors of OS in localized/locally-advanced-esophageal cancer (LEC/LAEC). Methods: LEC/LAEC patients treated from 2006-2014 had the following variables analyzed both as continuous and categorical: BMI (low <25 kg/m2, high ≥25 kg/m2), NLR (low <4, high ≥4), PLR (low <232, high ≥232), and SII (low <1375, high ≥1375), with OS. Univariate (UVA) and Multivariate analysis (MVA) were analyzed using Cox regression (adjusted hazard ratios, aHR; 95% Confidence Intervals, CI). MVA models of OS were built, assessing different categorical combinations of BBIM factors with and without BMI. Results: Of 411 pts, 79% were males, median age was 63.5 years, 67% were adenocarcinomas; Stage I/II/III: 14%, 28%, 59%; Median BMI was 26.5kg/m2 and BMI distribution was: 3% underweight, 40% normal weight, 37% overweight and 20% obese. After a median follow-up of 87 months, 204 pts recurred, and 257 died. In MVA, BMI alone had no impact on OS (aHR 0.89, CI 0.7-1.1, p=0.15); individually as continuous variables, higher SII (p=0.03) and higher NLR (p=0.006) were inversely associated with OS whereas higher PLR was not (p=0.10). In an MVA of categorical combinations of BMI and BBIM on OS, patients in the high-BMI/low-PLR group were at lower risk of death when compared to all other groups (aHR=0.65, 95%CI:0.5-0.8, p=0.007). Similar non-statistically significant trends were shown when SII and NLR were individually combined with BMI (aHR=0.77, 95%CI:0.6-1.0, p=0.09; aHR=0.74, 95%CI:0.5-1.0, p=0.05, respectively). Conclusions: Our results suggest that in LEC/LAEC pts, high BMI and low PLR together are associated with improved OS when compared to pts with low BMI and/or high PLR. NLR and SII alone were associated with OS. Further studies evaluating the underlying mechanisms of BBMI, in particular PLR and inflammation/obesity are warranted.

Download Full-text

Investigation of the effect of body mass index (BMI) on semen parameters and male reproductive system hormones

Archivio Italiano di Urologia e Andrologia ◽

10.4081/aiua.2017.3.219 ◽

2017 ◽

Vol 89 (3) ◽

pp. 219 ◽

Cited By ~ 4

Author(s):

Mehmet Zeynel Keskin ◽

Salih Budak ◽

Evrim Emre Aksoy ◽

Cem Yücel ◽

Serkan Karamazak ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Sperm Count ◽

Reproductive Hormones ◽

Semen Parameters ◽

Total Testosterone ◽

Significant Difference ◽

Group 3 ◽

Group 2 ◽

Group 1

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.

Download Full-text

The importance of laboratory tests and Body Mass Index in the diagnosis of acute appendicitis

Polish Journal of Surgery ◽

10.5604/01.3001.0014.3579 ◽

2020 ◽

Vol 92 (5) ◽

pp. 1-5

Author(s):

Atakan Ozkan ◽

Aylin Hande Gokce ◽

Feridun Suat Gokce

Keyword(s):

Body Mass Index ◽

Acute Appendicitis ◽

Body Mass ◽

The Body ◽

Distribution Width ◽

Lymphocyte Ratio ◽

Group 4 ◽

Group 3 ◽

Group 2 ◽

Group 1

Background: Acute appendicitis is the most common cause of acute abdomen. Delay in diagnosis increases the mortality and morbidity. Aim: 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. Meterial and Methods: 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. Results: 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. Conclusion: 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.

Download Full-text

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

American Journal of Perinatology Reports ◽

10.1055/s-0037-1603913 ◽

2017 ◽

Vol 07 (02) ◽

pp. e128-e133

Author(s):

Amy O'Neil Dudley ◽

Zachary Jenner ◽

Hector Mendez-Figueroa ◽

Viviana Ellis ◽

Suneet Chauhan

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Fourth Degree ◽

Arterial Ph ◽

Maternal And Neonatal Outcomes ◽

Group 3 ◽

Group 2 ◽

Umbilical Arterial Ph ◽

Diabetes And Obesity ◽

Group 1

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.

Download Full-text

Mean arterial pressure within 24 hours of admission predicts short-term prognosis in patients with intermediate-risk and high-risk pulmonary embolism

10.21203/rs.3.rs-15875/v1 ◽

2020 ◽

Author(s):

Jialong Chen ◽

Jing Lin ◽

Dansen Wu ◽

XiaoLan Guo ◽

XiuHua Li ◽

...

Keyword(s):

High Risk ◽

Cox Regression ◽

Hospital Death ◽

Intermediate Risk ◽

Short Term ◽

Group 4 ◽

Group 3 ◽

Group 5 ◽

Group 2 ◽

Group 1

Abstract Objective: Pulmonary embolism is a terrible cardiovascular condition with considerable morbidity and mortality. Previous studies have investigated systolic blood pressure (systolic BP) and diastolic blood pressure (diastolic BP) as being related to 30-day and in-hospital mortality. We aimed to determine whether the average mean arterial pressure (aMAP) in the first 24 hours of hospital admission is useful in predicting short-term outcomes of intermediate-risk and high-risk PE patients. Method: We conducted a single-center retrospective study. From May 2012 to April 2019, 122 intermediate-risk and high-risk PE patients were included. The primary outcome was in-hospital mortality. The secondary outcome was adverse events. ROC curves and cut-off values for aMAP predicting in-hospital death were computed. According to cut-off values, we categorized five groups defined as follows: group 1: aMAP<70 mmHg; group 2: 70 mmHg≤aMAP<80 mmHg; group 3: 80 mmHg≤aMAP<90 mmHg; group 4: 90 mmHg≤aMAP<100 mmHg; and group 5: aMAP≥100 mmHg. Cox regression models were calculated to investigate associations between aMAP and in-hospital death. Results: In the study group of 122 patients, 15 patients (12.30%) died in the hospital due to PE. ROC analysis for MAP predicting in-hospital death revealed an AUC of 0.729 with a cut-off value of 79.4 mmHg. Cox regression models showed a significant association between in-hospital death and aMAP group 1 (ref), aMAP group 2 (OR 1.680, 95% CI 0.020-140.335), aMAP group 3 (OR 0.003, 95% CI 0.0001-0.343), aMAP group 4 (OR 0.006, 95% CI 0.0001-1.671), and aMAP group 5 (OR 0.003, 95% CI 0.0001-9.744). In particular, those with an aMAP of 80-90 mmHg suffer from minimum adverse events. Conclusion: The prognostic role of MAP during the first 24 hours of hospital admission should be emphasized in patients with PE. The optimal range of MAP for intermediate-risk and high-risk PE patients may be 80 to 90 mmHg.

Download Full-text

Prognostic Value of Preoperative Body Mass Index for Diabetic Patients with Non-metastasis Gastric Cancer: A Single Center Experience

10.21203/rs.3.rs-330099/v1 ◽

2021 ◽

Author(s):

Zaisheng Ye ◽

Shenghong Wei ◽

Yi Zeng ◽

Yi Wang ◽

Zhitao Lin ◽

...

Keyword(s):

Gastric Cancer ◽

Body Mass Index ◽

Body Mass ◽

Cox Regression ◽

Categorical Variables ◽

Diabetic Patients ◽

Preoperative Body Mass Index ◽

Serum Carcinoembryonic Antigen ◽

Low Bmi ◽

High Bmi

Abstract AIM: This study was designed to investigate the prognostic effect of preoperative body mass index (BMI) for Type 2 diabetes mellitus (T2DM) patients with non-metastasis gastric cancer (GC) who underwent D2 gastrectomy.METHODS：T2DM patients with pT1-4bN0-3bM0 GC were retrospectively collected in our cancer center from January, 2000 to December, 2010. Chi-square test was used to analyze unordered categorical variables and ranked data, followed by Kaplan-Meier analysis as well as Cox regression models to detect risk factors for survival outcomes. In addition, the cut-off point was determined by the X-tile program. All analyses were carried out using survival package of R and SPSS Software. RESULTS： A total of 302 T2DM patients with pT1-4bN0-3bM0 GC were collected and analyzed. The cut-off point of BMI, identified by the X-tile program, was 19 kg/m2. Patients with low BMI (< 19 kg/m2) had a higher percentage of advanced T stage (T4a and T4b), more advanced TNM stage(stage IIIA, IIIB and IIIC), and more elevated level of serum carcinoembryonic antigen(CEA), compared to those with high BMI(>19 kg/m2)(all P < 0.05). In the low BMI subgroup, the 5-year overall survival rate was 39.02%, which was as high as 58.11% in the high BMI subgroup (P < 0.05). In the multivariate Cox regression model revealed that IIIC stage (OR= 3.101), N3b stage (OR= 3.113) were the most important prognostic indicators, followed by pretreatment BMI (OR= 2.136). CONCLUSION: Low preoperative BMI (<19 kg/m2) was a poor prognostic marker for T2DM patients with pT1-4bN0-3bM0 GC.

Download Full-text

Prognostic value of preoperative body mass index for diabetic patients with non-metastasis gastric cancer: a single center experience

BMC Surgery ◽

10.1186/s12893-021-01316-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Zaisheng Ye ◽

Shenghong Wei ◽

Yi Zeng ◽

Yi Wang ◽

Zhitao Lin ◽

...

Keyword(s):

Gastric Cancer ◽

Body Mass Index ◽

Body Mass ◽

Cox Regression ◽

Categorical Variables ◽

Diabetic Patients ◽

Preoperative Body Mass Index ◽

Cancer Hospital ◽

Low Bmi ◽

High Bmi

Abstract Aim This study was designed to investigate the prognostic effect of preoperative body mass index (BMI) for Type 2 diabetes mellitus (T2DM) patients with non-metastasis gastric cancer (GC) who underwent D2 gastrectomy. Methods T2DM patients with pT1–4bN0–3bM0 GC were retrospectively collected in Department of Gastrointestinal Surgical Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital from January, 2000 to December, 2010. These patients underwent D2 radical resection of the stomach combined with regional lymphadenectomy. Chi-square test was used to analyze unordered categorical variables and ranked data, followed by Kaplan–Meier analysis as well as Cox regression models to detect risk factors for survival outcomes. In addition, the cut-off point was determined by the X-tile program. All analyses were carried out using survival package of R and SPSS Software. Results A total of 302 T2DM patients with pT1–4bN0–3bM0 GC were collected and analyzed. The cut-off points of BMI, identified by the X-tile program, was 19 kg/m2. Patients with low BMI (< 19 kg/m2) had a higher percentage of advanced T stage (T4a and T4b), more advanced TNM stage (stage IIIA, IIIB and IIIC), and more elevated level of serum carcinoembryonic antigen (CEA), compared to those with high BMI (> 19 kg/m2) (all P < 0.05). In the low BMI subgroup, the 5-year overall survival rate was 39.02%, which was as high as 58.11% in the high BMI subgroup (P < 0.05). In the multivariate Cox regression model revealed that IIIC stage (OR = 3.101), N3b stage (OR = 3.113) were the most important prognostic indicators, followed by pretreatment BMI (OR = 2.136). Conclusion Low preoperative BMI (< 19 kg/m2) was a poor prognostic marker for T2DM patients with pT1–4bN0–3bM0 GC.

Download Full-text

Association of choroidal structure and body mass index in an adult population

European Journal of Ophthalmology ◽

10.1177/11206721211043751 ◽

2021 ◽

pp. 112067212110437

Author(s):

Emine Temel ◽

Nazife Aşikgarip ◽

Kemal Örnek

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Structural Parameters ◽

Adult Population ◽

Enhanced Depth Imaging ◽

Group 4 ◽

Choroidal Structure ◽

Group 3 ◽

Group 2 ◽

Group 1

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.

Download Full-text

Abstract P116: Higher Body Mass Index Trajectories Are Associated With Lower Levels Of Physical Activity Measured By A Smartwatch

Circulation ◽

10.1161/circ.143.suppl_1.p116 ◽

2021 ◽

Vol 143 (Suppl_1) ◽

Author(s):

Michael M Hammond ◽

Joanne M Murabito ◽

Ludovic Trinquart ◽

Emelia J Benjamin ◽

Honghuang Lin ◽

...

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Body Mass ◽

Habitual Physical Activity ◽

Bmi Trajectories ◽

Group 3 ◽

Group 2 ◽

The Relationship ◽

Bmi Trajectory ◽

Group 1

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.

Download Full-text