scholarly journals Body Mass Index Trajectories in Adolescence And Incident Metabolic Syndrome in Early Adulthood

2021 ◽  
Author(s):  
Ming Ying ◽  
Xiangming Hu ◽  
Qiang Li ◽  
Zhujun Chen ◽  
Yingling Zhou
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Adulthood ◽  
Educational Background ◽  
Bmi Trajectories ◽  
The Relationship ◽  
Bmi Trajectory ◽  
High Bmi

Abstract Background: The incidence of metabolic syndrome (MetS) is increasing each year, and MetS is closely related to cardiovascular diseases. Body mass index (BMI) has been widely used to measure obesity, and the relationship between MetS and BMI has been widely reported. However, the relationship between the trajectory of BMI and MetS is still unclear.Methods: Six waves of the cross-sectional China Health and Nutrition Survey (CHNS) were completed in nine provinces in China from 1993 to 2009, with more than 12,000 participants. We enrolled individuals who were aged 10 to 20 years in 1993, and 554 participants were finally included in our study. A latent class growth mixed model was used to identify different BMI trajectory patterns based on the BMI value measured at each follow-up. Participants completed blood tests and a physical examination in 2009 to allow for the diagnosis of MetS. The primary aim was to explore the relationship between different BMI trajectories and the incidence of MetS through logistic regression, adjusting for baseline age, sex, BMI, waist circumference, residence, educational background, smoking status, alcohol consumption, and nutritional intake.Result: During a follow-up of 16 years, 61 (11.01%) participants developed MetS. In multivariate-adjusted models, different BMI trajectories were significantly associated with the occurrence of MetS in early adulthood. Childhood or adolescents with a low-high BMI trajectory or a high-high BMI trajectory showed a significantly higher risk of MetS in early adulthood than those with a low-low trajectory (low-high: OR=3.40, 95% CI: 1.14-10.13, P <0.05; high-high: OR=5.81, 95% CI: 1.63-20.69, P <0.05).Conclusion: Our study identified three BMI trajectories from adolescence through 16 years of follow-up and found that in addition to baseline BMI, BMI trajectories were also an independent risk factor for incident MetS in early adulthood.

scholarly journals Body Mass Index and Its Change from Adolescence to Adulthood Are Closely Related to the Risk of Adult Metabolic Syndrome in China

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Bingyang Liu ◽  
Yue Li ◽  
Jiamei Guo ◽  
Yuting Fan ◽  
Ling Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Glycosylated Hemoglobin ◽  
Early Adulthood ◽  
Study Groups ◽  
Relationship Of ◽  
Baseline Bmi ◽  
The Relationship

Aims. To investigate the influence of body mass index (BMI) and its change from adolescence to adulthood (ΔBMI) on the risk of metabolic syndrome (MetS) in early adulthood. Methods. We selected 931 students from 12 to 16 years of age in Liaoyang City, China. Ninety-three participants from 18 to 22 years of age with complete baseline data were available for follow-up after 5 years. Statistical analysis determined the relationship of MetS at follow-up with baseline BMI (BMIb), ΔBMI, and follow-up BMI (BMIf). Results. ΔBMI was positively correlated with the change of waist circumference (ΔWC), systolic blood pressure (ΔSBP), triglycerides (ΔTG), uric acid, and glycosylated hemoglobin (ΔHbA1c) in follow-up ( p < 0.05 ). For every 1 kg/m2 increase in BMIb, ΔBMI, and BMIf, the risk of MetS at follow-up increased 1.201-fold, 1.406-fold, and 1.579-fold, respectively. Both BMIb and ΔBMI were predictive of MetS at follow-up, with prediction thresholds of 23.47 kg/m2 and 1.95 kg/m2. The participants were divided by the predicted BMIb and ΔBMI threshold values into four study groups. Interestingly, the group with lower BMI but a higher increase in BMI presented the same metabolic derangements and Mets% of the group with higher BMI but lower Δ BMI. Conclusion. Both BMI of adolescence and ΔBMI were predictive of MetS and cardiovascular risk factors in adulthood. Control of both variables in adolescents would be more effective in decreasing the risk of MetS in young adults than control of BMI alone.

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

Circulation ◽  
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.

scholarly journals Body Mass Index (BMI) Trajectories in Infancy Differ by Population Ancestry and May Presage Disparities in Early Childhood Obesity

2015 ◽  
Vol 100 (4) ◽  
pp. 1551-1560 ◽  
Author(s):  
Sani M. Roy ◽  
Alessandra Chesi ◽  
Frank Mentch ◽  
Rui Xiao ◽  
Rosetta Chiavacci ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Early Childhood ◽  
African American ◽  
Childhood Obesity ◽  
Body Mass ◽  
Odds Ratio ◽  
Excess Adiposity ◽  
Bmi Trajectories ◽  
The Relationship ◽  
Bmi Trajectory

Context: No consensus definition exists for excess adiposity during infancy. After age 2 years, high body mass index (BMI) is related to adverse cardiometabolic outcomes. Before age 2 years, the utility of BMI as a metric of excess adiposity is unknown. Objectives: The objective of the study was to characterize infant BMI trajectories in a diverse, longitudinal cohort and investigate the relationship between the infancy BMI trajectory and childhood obesity. Subjects: Healthy, nonpreterm infants (n = 2114) in the Genetic Causes for Complex Pediatric Disorders study (The Children's Hospital of Philadelphia) with six or more BMI measurements in the first 13.5 months participated in the study. Design: For each infant, the BMI trajectory was modeled using polynomial regression. Independent effects of clinical factors on magnitude and timing of peak BMI were assessed. The relationship between infancy BMI and early childhood BMI (age 4 y) was examined (n = 1075). Results: The cohort was 53% male and 61% African-American. Peak BMI was 18.6 ± 1.7 kg/m2 and occurred at 8.6 ± 1.4 months. In multivariate analysis, boys had a higher (0.50 kg/m2, P &lt; .001) peak BMI than girls. The peak was higher (0.53 kg/m2, P ≤ .001) and occurred earlier (by 12 d, P &lt; .001) in African-American vs white children. The odds of obesity at age 4 years increased among children with higher (odds ratio 2.02; P &lt; .001) and later (odds ratio 1.26; P = .02) infancy peak BMI. Conclusions: We demonstrate sex- and ancestry-specific differences in infancy BMI and an association of infancy peak BMI with childhood BMI. These findings support the potential utility of infancy BMI to identify children younger than age 2 years with increased risk for later obesity.

Abstract 05: Association of 25-Year Body Mass Index Trajectories Throughout Early Adulthood With Nonalcoholic Fatty Liver Disease in Middle Age: The Coronary Artery Risk Development in Young Adults (CARDIA) Study

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Lisa B VanWagner ◽  
Sadiya Khan ◽  
Hongyan NIng ◽  
Juned Siddique ◽  
Cora E Lewis ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Body Mass ◽  
Fatty Liver Disease ◽  
Early Adulthood ◽  
Liver Fat ◽  
Nonalcoholic Fatty Liver ◽  
Bmi Trajectory

Background: Nonalcoholic Fatty Liver Disease (NAFLD) has increased in parallel with obesity, is a risk factor for cirrhosis and liver cancer, and has few effective treatments. Identifying modifiable risk factors for NAFLD development is essential to effectively design prevention programs. We tested whether trajectories of body mass index (BMI) change throughout early adulthood were associated with risk of prevalent NAFLD in midlife independent of current BMI. Methods: Participants from the CARDIA study, a prospective multicenter population-based biracial cohort of adults (baseline age 18-30 years), underwent BMI measurement at exam years 0, 2, 5, 7, 10, 15, 20, and 25. At Year 25 (Y25, 2010-2011), liver fat was assessed by computed tomography. NAFLD was identified after exclusion of other causes of liver fat (alcohol/hepatitis). Latent mixture modeling was used to identify 25-year trajectories in BMI percent (%) change relative to baseline BMI over time. Multivariable logistic regression models were used to assess associations between BMI trajectory group and prevalent NAFLD with adjustment for baseline or current Y25 BMI. Results: Among 4,423 participants, we identified 4 distinct trajectories of BMI %change: stable BMI (26.2% of the cohort, 25-year mean BMI Δ=0.7 kg/m 2 ), mild increase (46.0%, BMI Δ=5.2 kg/m 2 ), moderate increase (20.9%, BMI Δ=10.0 kg/m 2 ), and extreme increase (6.9%, BMI Δ=15.1 kg/m 2 ) (Figure). NAFLD prevalence at Y25 was higher with increasing BMI trajectory: 4.1%, 9.3%, 13.0%, and 17.6% (p-trend <0.0001). At baseline, 34.6% of participants had overweight or obesity. After adjustment for confounders, trajectories of greater BMI increase were associated with greater NAFLD prevalence independent of baseline or current Y25 BMI (Figure). Conclusion: Weight gain throughout adulthood is associated with greater prevalence of NAFLD in midlife independent of baseline or current BMI. These findings highlight weight maintenance throughout adulthood as a potential target for primary prevention of NAFLD.

scholarly journals Estimated and projected burden of multiple sclerosis attributable to smoking and childhood and adolescent high body-mass index: a comparative risk assessment

2020 ◽  
Author(s):  
Julia Pakpoor ◽  
Klaus Schmierer ◽  
Jack Cuzick ◽  
Gavin Giovannoni ◽  
Ruth Dobson
Keyword(s):  
Risk Factors ◽  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Life ◽  
Time Lag ◽  
Early Adulthood ◽  
High Body Mass Index ◽  
High Body ◽  
High Bmi

Abstract Background Smoking and childhood and adolescent high body-mass index (BMI) are leading lifestyle-related risk factors of global premature morbidity and mortality, and have been associated with an increased risk of developing multiple sclerosis (MS). This study aims to estimate and project the proportion of MS incidence that could be prevented with elimination of these risk factors. Methods Prevalence estimates of high BMI during childhood/adolescence and smoking in early adulthood, and relative risks of MS, were obtained from published literature. A time-lag of 10 years was assumed between smoking in early adulthood and MS incidence, and a time-lag of 20 years was assumed between childhood/adolescent high BMI and MS incidence. The MS population attributable fractions (PAFs) of smoking and high BMI were estimated as individual and combined risk factors, by age, country and sex in 2015, 2025 and 2035 where feasible. Results The combined estimated PAFs for smoking and high BMI in 2015 were 14, 11, 12 and 12% for the UK, USA, Russia and Australia in a conservative estimate, and 21, 20, 19 and 16% in an independent estimate, respectively. Estimates for smoking are declining over time, whereas estimates for high early life BMI are rising. The PAF for high early life BMI is highest in the USA and is estimated to increase to 14% by 2035. Conclusions Assuming causality, there is the potential to substantially reduce MS incidence with the elimination of lifestyle-related modifiable risk factors, which are the target of global public health prevention strategies.

scholarly journals Association of trajectory of body mass index with knee pain risk in Japanese middle-aged women in a prospective cohort study: the Japan Nurses’ Health Study

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e033853 ◽  
Author(s):  
Ayumi Ito ◽  
Kunihiko Hayashi ◽  
Shosuke Suzuki ◽  
Yuki Ideno ◽  
Takumi Kurabayashi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Knee Pain ◽  
Primary Outcome ◽  
Health Study ◽  
Middle Aged ◽  
Weight Group ◽  
Overweight Group ◽  
Bmi Trajectory

ObjectivesTo investigate whether body mass index (BMI) trajectory, lifestyle and reproductive factors are associated with knee pain risk among middle-aged women.DesignProspective study of the Japan Nurses’ Health Study (JNHS).SettingThe JNHS investigates the health of female nurses in Japan. Biennial follow-up questionnaires are mailed to the participants.ParticipantsThe 7434 women aged over 40 years who responded to the 10-year self-administered follow-up questionnaire.Primary outcome measureSelf-reported knee pain at the 10-year follow-up was the primary outcome. We analysed BMI (normal or overweight) trajectory data from a baseline survey to the 10-year follow-up survey using group-based trajectory modelling. Exposure measurements were BMI trajectory, BMI at age 18 years, lifestyle variables and reproductive history.ResultsBMI trajectories from baseline to the 10-year follow-up were divided into four groups: remained normal, remained overweight, gained weight or lost weight. At the 10-year follow-up, 1281 women (17.2%) reported knee pain. Multivariable logistic regression analysis revealed that compared with the remained normal group, multivariable-adjusted ORs (95% CI) of knee pain were 1.93 (1.60 to 2.33) for the remained overweight group, 1.60 (1.23 to 2.08) for the gained weight group and 1.40 (0.88 to 2.21) for the lost weight group. The attributable risk percent (95% CI) of the remained overweight group was 48.1% (37.3% to 57.0%) compared with the reference group of remained normal. Alcohol intake at baseline was significantly associated with knee pain.ConclusionsThe lost weight group had a lower risk than the remained overweight group and the gained weight group and did not carry statistically significant risks for knee pain. Weight reduction and maintaining a normal BMI in middle age was important for preventing knee pain in women.

scholarly journals The relationship between body mass index before pregnancy and the amount of weight that should be gained during pregnancy: A cross-sectional study

2019 ◽  
Vol 35 (5) ◽  
Author(s):  
Resmiye Özdilek ◽  
Yılda Arzu Aba ◽  
Sena Dilek Aksoy ◽  
Bulat Aytek Şık ◽  
Yaşam Kemal Akpak
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Pregnant Women ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean ◽  
The Relationship

Objective: To investigate the adaptation of pregnant women to the recommended weight gain range according to body mass index (BMI) and to determine the factors affecting them. Methods: This cross-sectional study was performed in a university hospital’s obstetrics and gynecology unit (tertiary center) in Turkey. This study was conducted between March 2018 and August 2018 (6 months) in pregnant women. Pregnant women with chronic disease and receiving treatment during antenatal follow-up, with twin pregnancy, with a fetus with a congenital abnormality, and nutritional disturbance were excluded from the study. Eight hundred twelve pregnant women with normal antenatal follow-up and who volunteered to participate were included in the study. Results: The mean age of the participants was 27.66±5.05 years. The mean weight and BMI before pregnancy were near standard in all participants. The group with the highest rate of recommended weight gain according to BMI before pregnancy was the group with low weight pregnant women. The ideal weight gain rate in all groups was 32%. Conclusions: The groups with overweight and obese pregnant women according to BMI before pregnancy had the highest rates of weight gain, above the recommended limits. BMI before pregnancy directly affects weight gain during pregnancy and the importance of pre-pregnancy counseling and weight loss is emphasized once again. doi: https://doi.org/10.12669/pjms.35.5.133 How to cite this:Ozdilek R, Aba YA, Aksoy SD, Sik BA, Akpak YK. The relationship between body mass index before pregnancy and the amount of weight that should be gained during pregnancy: A cross-sectional study. Pak J Med Sci. 2019;35(5):---------.  doi: https://doi.org/10.12669/pjms.35.5.133 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals A Clinical Study of Relationship of Body Mass Index with Allergic Rhinitis

2016 ◽  
Vol 9 (1) ◽  
pp. 33-36
Author(s):  
SS Bist ◽  
Sanjeev Bhagat ◽  
Himanshu Kala
Keyword(s):  
Body Mass Index ◽  
Allergic Rhinitis ◽  
Clinical Study ◽  
Body Mass ◽  
Allergic Diseases ◽  
Control Group ◽  
Female Patients ◽  
Relationship Of ◽  
The Relationship ◽  
High Bmi

ABSTRACT Objectives Although the association between obesity and bronchial asthma (BA) has been gaining more attention, few studies have been conducted concerning the relationship between body mass index (BMI) and other allergic diseases. The purpose of this study is to determine the relationship between allergic rhinitis (AR) and BMI. Materials and methods This was a retrospective study. Two hundred and ten patients of AR (138 males and 72 females) and 424 healthy controls were included in the study. The BMI of patients and controls were calculated and correlated. Results The percentage of AR patients with a low BMI was 9.5%, whereas 57.6% had a normal BMI; 21% were preobese and 9.5% were obese. In the control group, 48.6% subjects had normal BMI range followed by preobese 21.2%, underweight 20.3%, and obese 9.9%. Among the overweight (preobese+ obese) category, the maximum number of subjects belonged to cases, i.e., 32.8% with an odds ratio (OR) of 0.95 (95% confidence interval (CI) 0.91-1.07). Thus, AR was not associated with high BMI. Among the underweight, the maximum number of subjects belonged to the control group, i.e., 20.3% with an OR of 2.13 (95% CI 1.24-3.68). Thus, AR had no relationship with lower BMI also. It was also observed that more of the female patients (18, 29.1, and 12.5% were underweight, preobese, and obese respectively) had deranged BMI than male patients (5.3, 20.2, and 7.9% were underweight, preobese, and obese respectively). A relative risk of 1.124 (95% CI 1.01-1.23) and 1.04 (95% CI 0.95-1.13) was present in female patients with low and high BMI respectively, which is statistically significant (p = 0.0008). Conclusion It was concluded that BMI was not associated with increased prevalence of AR. Among the underweight and overweight, AR was more common in females than in males. Thus, BMI had a significant association with AR among female patients. Overall, BMI had no significant association with AR. How to cite this article Kala H, Bhagat S, Varshney S, Bist SS. A Clinical Study of Relationship of Body Mass Index with Allergic Rhinitis. Clin Rhinol An Int J 2016;9(1):33-36.

scholarly journals The Relation Pattern Between Energy and Protein Intake Against Student's Body Mass Index

2017 ◽  
Vol 1 (2) ◽  
pp. 97-106
Author(s):  
Ilham Ilham ◽  
Sarita Oktorina ◽  
Moh. Rizqi Haqiqi As'at
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Protein Intake ◽  
Early Adulthood ◽  
The Body ◽  
Age Group ◽  
Unhealthy Lifestyle ◽  
Transition Age ◽  
Body Development ◽  
The Relationship

The content of food nutrients is the key to for the body development as well maintenance. Poor food intake along with unhealthy lifestyle is one of the factors that cause various chronic diseases. Students belong to the transition age group from late adolescence to early adulthood. Most students live in boarding houses and dormitories, so students have an irregular diet and are unhealthy. The research aimed to investigate the relationship between energy and protein intake with Body Masa Index among active students at the Faculty of Science and Technology. The result showed that there was a significant correlation between energy consumption, protein consumption and students knowledge, with student;s Body Mass Index, while 8.3% of the respondents were identified into the 1st category of obesity

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