The association between body mass index and brain morphology in children: a population-based study.
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ABSTRACT:
SUBMITTER: Steegers C
PROVIDER: S-EPMC7981300 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background: The cumulative effect of body mass index (BMI) on brain health remains ill-defined. The effects of overweight on brain health across different age groups need clarification. We analyzed the effect of cumulative BMI on neuroimaging features of brain health in adults of different ages. Methods: This study was based on a multicenter, community-based cohort study. We modeled the trajectories of BMI over 16 years to evaluate cumulative exposure. Multimodality neuroimaging data were collected once for volumetric measurements of the brain macrostructure, white matter hyperintensity (WMH), and brain microstructure. We used a generalized linear model to evaluate the association between cumulative BMI and neuroimaging features. Two-sample Mendelian randomization analysis was performed using summary level of BMI genetic data from 681,275 individuals and neuroimaging genetic data from 33,224 individuals to analyze the causal relationships. Results: Clinical and neuroimaging data were obtained from 1,074 adults (25 to 83 years). For adults aged under 45 years, brain volume differences in participants with a cumulative BMI of >26.2 kg/m2 corresponded to 12.0 years [95% confidence interval (CI), 3.0 to 20.0] of brain aging. Differences in WMH were statistically substantial for participants aged over 60 years, with a 6.0-ml (95% CI, 1.5 to 10.5) larger volume. Genetic analysis indicated causal relationships between high BMI and smaller gray matter and higher fractional anisotropy in projection fibers. Conclusion: High cumulative BMI is associated with smaller brain volume, larger volume of white matter lesions, and abnormal microstructural integrity. Adults younger than 45 years are suggested to maintain their BMI below 26.2 kg/m2 for better brain health. Trial Registration: This study was registered on clinicaltrials.gov (Clinical Indicators and Brain Image Data: A Cohort Study Based on Kailuan Cohort; No. NCT05453877; https://clinicaltrials.gov/ct2/show/NCT05453877).
| S-EPMC10944701 | biostudies-literature
Project description:BACKGROUND: A balanced nutrition schedule provides the essential substances for proper oral health. OBJECTIVES: The aim of this study was to investigate the association between dental caries and body mass index in 6-11 year-old children in Zahedan. MATERIALS AND METHODS: In this cross-sectional study 1213 children (670 girls, 543 boys) were included. Body mass index (BMI) and clinical examination for determination of DFT (decay filling teeth) index (based on WHO criteria) were taken. Collected data were analyzed using the t-test, chi-square and ANOVA. RESULTS: Among children, 20.8% had low weight, 66.3% normal weight, 7.8% were overweight and 5.1% obese. In the low weight, normal weight, overweight, and obese groups, the mean ± SD values for DFT were: 0.63 ± 1.1, 0.88 ± 1.36, 1.16 ± 1.33, and 0.87 ± 1.31, respectively. There was a significant association between BMI and DFT (P = 0.005). The overweight group had higher DFT compared to the low and normal weight groups. 13.5% of low weight, 12.2% of normal weight, 14.7% of overweight and 22.6% of obese children had DFT = 0. There was no statistical association between BMI and being caries free (P = 0.4). CONCLUSIONS: The mean DFT in the overweight group was higher than low and normal weight groups. There was a statistically significant association between BMI and DFT.
| S-EPMC4070157 | biostudies-literature
Project description:Study objectivesMounting evidence indicates that sleep disturbance contributes to the increased risk for cardiometabolic diseases. Obesity and underweight are also closely linked to cardiometabolic risk. Thus, the objective of this study was to examine the association between sleep duration, quality, and body mass index (BMI) categories.MethodsUsing data from a cohort of 107,718 Korean individuals (63,421 men and 44,297 women), we conducted cross-sectional analysis with sex subgroup analysis. Sleep duration was classified into 3 groups-short (< 7 hours), normal (7-9 hours) and long sleep (> 9 hours)-and Pittsburgh Sleep Quality Index (PSQI) score was used to divide sleep quality into 2 groups-poor (PSQI > 5) and good sleep (PSQI ≤ 5). Compared to normal sleep and good sleep quality, adjusted odds ratios of short and long sleep and poor sleep for BMI categories were calculated. BMI categories included underweight (BMI < 18.5 kg/m2), overweight (BMI 23 to < 25 kg/m2), obesity (BMI 25 to < 30 kg/m2) and severe obesity (BMI ≥ 30 kg/m2).ResultsShort sleep duration had the dose-dependent relationship with obesity categories from overweight to severe obesity, and inverse relationship with underweight (adjusted odds ratios [95% confidence intervals] for underweight, overweight, obesity, and severe obesity versus normal weight; 0.88 [0.82-0.94], 1.15 [1.11-1.20], 1.31 [1.26-1.37], 1.70 [1.54-1.85]). Poor sleep quality was significantly associated with severe obesity in male subgroup (1.16 [1.05-1.27]) and with obesity (1.18 [1.10-1.25]) and severe obesity in female subgroup (1.66 [1.40-1.98]).ConclusionsShort sleep duration and poor sleep quality was more positively associated with obesity across BMI than underweight.
| S-EPMC6086945 | biostudies-literature
Project description:An association between high pre-pregnancy body mass index (BMI) and early breastfeeding cessation has been previously observed, but studies examining the effect of underweight are still scant and remain inconclusive. This study analyzed data from a nationally representative cohort of 18,312 women (mean age 28.3 years; underweight 20.1%; overweight 8.2%; obesity 1.9%) who delivered singleton live births in 2005 in Taiwan. Comprehensive face-to-face interviews and surveys were completed at 6 and 18 months postpartum. BMI status and breastfeeding duration were calculated from the self-reported data in the questionnaires. In the adjusted ordinal logistic regression model, maternal obesity and underweight had a higher odds of shorter breastfeeding duration compared with normal-weight women. The risk of breastfeeding cessation was significantly higher in underweight women than in normal-weight women after adjustments in the logistic regression model (2 m: aOR = 1.11, 95% CI = 1.03-1.2; 4 m: aOR = 1.32, 95% CI = 1.21-1.43; 6 m: aOR = 1.3, 95% CI = 1.18-1.42). Our findings indicated that maternal underweight and obesity are associated with earlier breastfeeding cessation in Taiwan. Optimizing maternal BMI during the pre-conception period is essential, and future interventions to promote and support breastfeeding in underweight mothers are necessary to improve maternal and child health.
| S-EPMC7468738 | biostudies-literature
Project description:Pediatric overweight/obesity can lead to sleep-disordered breathing (SDB), abnormal neurological and cognitive development, and psychiatric problems, but the associations and interactions between these factors have not been fully explored. Therefore, we investigated the associations between body mass index (BMI), SDB, psychiatric and cognitive measures, and brain morphometry in 8484 children 9-11 years old using the Adolescent Brain Cognitive Development dataset. BMI was positively associated with SDB, and both were negatively correlated with cortical thickness in lingual gyrus and lateral orbitofrontal cortex, and cortical volumes in postcentral gyrus, precentral gyrus, precuneus, superior parietal lobule, and insula. Mediation analysis showed that SDB partially mediated the effect of overweight/obesity on these brain regions. Dimensional psychopathology (including aggressive behavior and externalizing problem) and cognitive function were correlated with BMI and SDB. SDB and cortical volumes in precentral gyrus and insula mediated the correlations between BMI and externalizing problem and matrix reasoning ability. Comparisons by sex showed that obesity and SDB had a greater impact on brain measures, cognitive function, and mental health in girls than in boys. These findings suggest that preventing childhood obesity will help decrease SDB symptom burden, abnormal neurological and cognitive development, and psychiatric problems.
| S-EPMC10656948 | biostudies-literature
Project description:Background:For mothers of children with allergic diseases, the amount of physical activity involved in childcare increases owing to factors, such as the need for diet therapy and environmental improvements. Reportedly, the body mass index (BMI) of mothers of children with food allergies (FAs) is significantly lower than that of those of children without allergies (non-FA mothers). The aim of this study was to evaluate the characteristics of diet and physical activity in FA mothers and to clarify their effects on BMI. Methods:To investigate the association between lifestyle characteristics and BMI in 69 mothers of children with FA, bronchial asthma and atopic dermatitis, their diets and physical activity pattern (using a three-axis accelerometer) were investigated; dietary and physical activity patterns (every hour) were extracted using principal component analysis, and multiple regression analyses were performed. Results:Multiple regression analyses revealed a significant positive correlation (P = 0.037) between BMI and the third principal component of dietary patterns (positive correlation with cereals and negative correlation with sweets), a significant negative correlation (P = 0.004) between BMI and FA and the total daily duration of performing low- and moderate-intensity physical activity (P = 0.031) and a significant positive correlation (P = 0.008) between FA and the first principal component of physical activity expenditure patterns (patterns of ongoing physical activity throughout the day). In FA mothers (n = 51), a significant positive correlation (P = 0.042) was observed between the third principal component of dietary patterns and BMI. Conclusion:Low BMI in FA mothers may be related to reduced cereal intake, increased sweets intake and prolonged and continuous low- and moderate-intensity physical activity.
| S-EPMC6879037 | biostudies-literature
Project description:Evidence regarding the association between body mass index (BMI) and mortality in TB patients is limited and inconsistent. We investigated the effect of BMI on TB-specific and non-TB-specific mortality in TB patients. All adult Taiwanese with TB in Taipei, Taiwan, during 2011 to 2012 were included in this retrospective cohort study. Multinomial logistic regression was used to evaluate associations of BMI with cause of death in TB patients. Of the 1608 eligible patients, 83.6% (1345) were successfully treated, 3.3% (53) died of TB-specific causes, and 13.1% (210) died of non-TB-specific causes. Mean age was 64.6 years, and 67.5% of patients were male. After controlling for potential confounders, underweight was significantly associated with higher risks of all-cause mortality (adjusted odds ratio [AOR], 1.66; 95% confidence interval [CI], 1.21-2.30), TB-specific mortality (AOR, 2.14; 95% CI, 1.18-3.89), and non-TB-specific mortality (AOR, 1.58; 95% CI, 1.11-2.25) during TB treatment, while overweight was not. When gender differences on the association of BMI with mortality were considered, underweight only significantly increased risks of TB-specific (AOR, 2.37; 95% CI, 1.19-4.72) and non-TB-specific mortality (AOR, 1.58; 95% CI, 1.05-2.37) during treatment in male patients, but not female subjects.T he present findings indicate that underweight was associated with higher risks of TB-specific and non-TB-specific mortality during TB treatment, particularly in male patients.
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Project description:Increased body mass index (BMI) has been associated with an increased prevalence of asthma in children, however the association between BMI status and asthma severity has been less well defined. The aim of this study was to describe the association between childhood obesity and asthma severity, frequency of hospital and emergency department visits as well as pattern of aeroallergen sensitization. A retrospective study was conducted at pediatric outpatient clinics in University Hospital Sharjah. All consecutive patients aged 6 years and above, with confirmed diagnosis of asthma visiting the outpatient pediatric clinics during 2018 were included in this study. Sources of information were the patient's medical file, laboratory data, pharmacy data, as well as reports from the pediatric in charge. This study included 164 children with asthma. 63% of asthma patients were male. The vast majority of patients were from Arab ethnicities (n = 154, 94%), majority had mild asthmatic conditions (n = 133, 81%), and one-third were either overweight or obese (n = 52, 32%). Overweight or obese asthmatic children with BMI percentile of equal or more than 85% was associated with more asthma severity (odds ratio [OR]: 3.27, 95% confidence interval [CI]: 1.42-7.54; P = 0.005), as well as more frequent asthma related hospital visits (OR: 2.53, 95% CI: 1.22-5.26; P = 0.013). Overweight asthmatic children with BMI between the 85th and 94th percentiles and obese asthmatic children with BMI equal to or greater than 95th percentile are associated with more severe asthma phenotype and more frequent hospital and emergency department visits.
| S-EPMC6934300 | biostudies-literature
Project description:Understanding complex body-brain processes and the interplay between adipose tissue and brain health is important for understanding comorbidity between psychiatric and cardiometabolic disorders. We investigated associations between brain structure and anthropometric and body composition measures using brain magnetic resonance imaging (MRI; n = 24,728) and body MRI (n = 4973) of generally healthy participants in the UK Biobank. We derived regional and global measures of brain morphometry using FreeSurfer and tested their association with (i) anthropometric measures, and (ii) adipose and muscle tissue measured from body MRI. We identified several significant associations with small effect sizes. Anthropometric measures showed negative, nonlinear, associations with cerebellar/cortical gray matter, and brain stem structures, and positive associations with ventricular volumes. Subcortical structures exhibited mixed effect directionality, with strongest positive association for accumbens. Adipose tissue measures, including liver fat and muscle fat infiltration, were negatively associated with cortical/cerebellum structures, while total thigh muscle volume was positively associated with brain stem and accumbens. Regional investigations of cortical area, thickness, and volume indicated widespread and largely negative associations with anthropometric and adipose tissue measures, with an opposite pattern for thigh muscle volume. Self-reported diabetes, hypertension, or hypercholesterolemia were associated with brain structure. The findings provide new insight into physiological body-brain associations suggestive of shared mechanisms between cardiometabolic risk factors and brain health. Whereas the causality needs to be determined, the observed patterns of body-brain relationships provide a foundation for understanding the underlying mechanisms linking psychiatric disorders with obesity and cardiovascular disease, with potential for the development of new prevention strategies.
| S-EPMC8131380 | biostudies-literature
Project description:ImportanceAlthough high body mass index (BMI) is associated with adverse birth outcomes, the association with severe maternal morbidity is unclear.ObjectiveTo examine the association between prepregnancy BMI and severe maternal morbidity.Design, setting, and participantsRetrospective population-based cohort study including all singleton hospital births in Washington State, 2004-2013. Demographic data and morbidity diagnoses were obtained from linked birth certificates and hospitalization files.ExposuresPrepregnancy BMI (weight in kilograms divided by height in meters squared) categories included underweight (<18.5), normal BMI (18.5-24.9), overweight (25.0-29.9), obesity class 1 (30.0-34.9), obesity class 2 (35.0-39.9), and obesity class 3 (≥40).Main outcomes and measuresComposite severe maternal morbidity or mortality included life-threatening conditions and conditions leading to serious sequelae (eg, amniotic fluid embolism, hysterectomy), complications requiring intensive care unit admission, and maternal death. Logistic regression was used to obtain adjusted odds ratios (ORs) and adjusted rate differences with 95% confidence intervals, adjusted for confounders (eg, maternal age and parity).ResultsOverall, 743 630 women were included in the study (mean age, 28.1 [SD, 6.0] years; 41.4% nulliparous). Prepregnancy BMI was distributed as follows: underweight, 3.2%; normal weight, 47.5%; overweight, 25.8%; obesity class 1, 13.1%; obesity class 2, 6.2%; and obesity class 3, 4.2%. Rates of severe maternal morbidity or mortality were 171.5, 143.2, 160.4, 167.9, 178.3 and 202.9 per 10 000 women, respectively. Adjusted ORs were 1.2 (95% CI, 1.0-1.3) for underweight women; 1.1 (95% CI, 1.1-1.2) for overweight women; 1.1 (95% CI, 1.1-1.2) for women with class 1 obesity; 1.2 (95% CI, 1.1-1.3) for women with class 2 obesity; and 1.4 (95% CI, 1.3-1.5) for women with class 3 obesity compared with women with normal BMI. Absolute risk increases (adjusted rate differences per 10 000 women, compared with women with normal BMI) were 28.8 (95% CI, 12.2-47.2) for underweight women, 17.6 (95% CI, 10.5-25.1) for overweight women, 24.9 (95% CI, 15.7-34.6) for women with class 1 obesity, 35.8 (95% CI, 23.1-49.5) for women with class 2 obesity, and 61.1 (95% CI, 44.8-78.9) for women with class 3 obesity.Conclusions and relevanceAmong pregnant women in Washington State, low and high prepregnancy BMI, compared with normal BMI, were associated with a statistically significant but small absolute increase in severe maternal morbidity or mortality.
| S-EPMC5820710 | biostudies-literature