Impact of preconception and antenatal supplementation with myo-inositol, probiotics, and micronutrients on offspring BMI and weight gain over the first 2 years.

BACKGROUND: Nutritional intervention preconception and throughout pregnancy has been proposed as an approach to promoting healthy postnatal weight gain in the offspring but few randomised trials have examined this. METHODS: Measurements of weight and length were obtained at multiple time points from birth to 2 years among 576 offspring of women randomised to receive preconception and antenatally either a supplement containing myo-inositol, probiotics, and additional micronutrients (intervention) or a standard micronutrient supplement (control). We examined the influence on age- and sex-standardised BMI at 2 years (WHO standards, adjusting for study site, sex, maternal parity, smoking and pre-pregnancy BMI, and gestational age), together with the change in weight, length, BMI from birth, and weight gain trajectories using latent class growth analysis. RESULTS: At 2 years, there was a trend towards lower mean BMI among intervention offspring (adjusted mean difference [aMD] - 0.14 SD [95% CI 0.30, 0.02], p = 0.09), and fewer had a BMI > 95th percentile (i.e. > 1.65 SD, 9.2% vs 18.0%, adjusted risk ratio [aRR] 0.51 [95% CI 0.31, 0.82], p = 0.006). Longitudinal data revealed that intervention offspring had a 24% reduced risk of experiencing rapid weight gain > 0.67 SD in the first year of life (21.9% vs 31.1%, aRR 0.76 [95% CI 0.58, 1.00], p = 0.047). The risk was likewise decreased for sustained weight gain > 1.34 SD in the first 2 years of life (7.7% vs 17.1%, aRR 0.55 [95% CI 0.34, 0.88], p = 0.014). From five weight gain trajectories identified, there were more intervention offspring in the "normal" weight gain trajectory characterised by stable weight SDS around 0 SD from birth to 2 years (38.8% vs 30.1%, RR 1.29 [95% CI 1.03, 1.62], p = 0.029). CONCLUSIONS: Supplementation with myo-inositol, probiotics, and additional micronutrients preconception and in pregnancy reduced the incidence of rapid weight gain and obesity at 2 years among offspring. Previous reports suggest these effects will likely translate to health benefits, but longer-term follow-up is needed to evaluate this. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02509988 (Universal Trial Number U1111-1171-8056). Registered on 16 July 2015.

Newborn DNA methylation age differentiates long-term weight trajectories: the Boston Birth Cohort.

BACKGROUND: Gestational age (GEAA) estimated by newborn DNA methylation (GAmAge) is associated with maternal prenatal exposures and immediate birth outcomes. However, the association of GAmAge with long-term overweight or obesity (OWO) trajectories is yet to be determined. METHODS: GAmAge was calculated for 831 children from a US predominantly urban, low-income, multi-ethnic birth cohort based on cord blood DNA methylation profile using Illumina EPIC array. Repeated anthropometric measurements aligned with pediatric primary care schedule allowed us to calculate body-mass-index percentiles (BMIPCT) at specific age and to define long-term weight trajectories from birth to 18 years. RESULTS: GAmAge was associated with BMIPCT trajectories, defined by 4 groups: stable (consistent OWO: "early OWO"; constant normal weight: "NW") or non-stable (OWO by year 1 of follow-up: "late OWO"; OWO by year 6 of follow-up: "NW to very late OWO"). GAmAge differentiated between the group with consistently normal BMIPCT pattern and the non-stable groups with late and very late OWO development. Such differentiation was observed in the age periods of birth to 1year, 3years, 6years, 10years, and 14years (p < 0.05 for all). The findings persisted after adjusting for GEAA, maternal smoking, delivery method, and child's sex in multivariate models. Birth weight was a mediator for the GAmAge effect on OWO status for specific groups at multiple age periods. CONCLUSIONS: GAmAge is associated with BMIPCT trajectories from birth to age 18 years, independent of GEAA and birth weight. If further confirmed, GAmAge may serve as an early biomarker for predicting BMI trajectory to inform early risk assessment and prevention of OWO. TRIAL REGISTRATION: ClinicalTrials.gov (NCT03228875).

Impact of weight loss and weight gain trajectories on body composition in a population at high risk of type 2 diabetes: A prospective cohort analysis.

AIM: In a primary care population at high risk of type 2 diabetes, 24-month weight change trajectories were used to investigate the impact of weight cycling on fat mass (FM) and fat-free mass (FFM). MATERIALS AND METHODS: Cohort data from the Walking Away from Type 2 Diabetes trial was used, which recruited adults at-risk of type 2 diabetes from primary care in 2009/10. Annual weight change trajectories based on weight loss/gain of ≥5% were assessed over two 24-month periods. Body composition was measured by bioelectrical impedance analysis. Repeated measures were analysed using generalized estimating equations with participants contributing up to two 24-month observation periods. RESULTS: In total, 622 participants were included (average age = 63.6 years, body mass index = 32.0 kg/m2 , 35.4% women), contributing 1163 observations. Most observations (69.2%) were from those that maintained their body weight, with no change to FM or FFM. A minority (4.6% of observations) lost over 5% of body weight between baseline and 12 months, which was then regained between 12 and 24 months. These individuals regained FM to baseline levels, but lost 1.50 (0.66, 2.35) kg FFM, adjusted for confounders. In contrast, those that gained weight between baseline and 12 months but lost weight between 12 and 24 months (5.5% of observations) had a net gain in FM of 1.70 (0.27, 3.12) kg with no change to FFM. CONCLUSION: Weight cycling may be associated with a progressive loss in FFM and/or gain in FM in those with overweight and obesity at-risk of type 2 diabetes.

Life course weight transitions from birth to childhood to midlife and risk of cardiovascular diseases and its subtypes.

BACKGROUND AND AIMS: Evidence on weight transitions across life stages and cardiovascular diseases (CVDs) is limited. We aimed to explore weight transition patterns from birth to childhood to midlife and risk of incident CVDs. METHODS: A total of 193,905 participants from the UK Biobank were included. Weight at birth, childhood, and midlife were collected at baseline (2006-2010). CVD outcomes were collected at year 2022. We constructed 27 transition patterns from birth to age 10 years to midlife. Cox proportional hazard models yielded hazard ratios (HRs) and 95% confidence intervals (CI) between weight transition patterns and CVDs. Mediation analyses were performed. Rate advancement periods (RAP) were also calculated. RESULTS: Several weight transition patterns were clearly linked to risk of CVDs, including "Low birth weight → high weight at age 10 years → obesity at midlife" (HR 2.64, 95% CI 2.24-3.11), "Low birth weight → low weight at age 10 years → obesity at midlife" (2.27, 1.93-2.66), "High birth weight → low weight at age 10 years → obesity at midlife" (2.29, 1.96-2.67), and "High birth weight → high weight at age 10 years → obesity at midlife" (2.14, 1.89-2.42), which showed even stronger association with HF. RAPs of these patterns were 8.3-10.6 years for CVD and 10.0-13.1 for HF. 50% of the association between birth weight and CVDs was mediated by weight at midlife. CONCLUSIONS: Our findings highlight the importance of weight management throughout the life course in reducing the risk of CVDs, especially maintaining a heathy weight at midlife.

Is weight trajectory a better marker of wound complication risk than BMI in hernia patients with obesity?

BACKGROUND: Complex ventral hernias are frequently repaired via an open transversus abdominis release (TAR). Obesity, particularly a BMI > 40, is a strong predictor of wound morbidity following this procedure. We aimed to determine if preoperative weight loss may still be beneficial in patients with persistently elevated BMIs. METHODS: A retrospective chart review of patients with obesity (BMI ≥ 30) who underwent open TAR at a tertiary academic medical center from January 2018 to December 2021 was completed. Demographics, medical history, operative details, and postoperative data were analyzed. Weight and BMI were recorded at three time points: > 6 months prior to initial surgical consultation, surgical consultation, and day of surgery. RESULTS: In total, 182 patients with obesity underwent an open TAR. Twenty-seven patients (14.8%) underwent surgery with a BMI > 40; they did not have any significant differences in surgical site occurrences (SSO, 48.1% vs 32.9%, p = 0.13) or surgical site infections (SSI, 25.9% vs 23.2%, p = 0.76) compared to those with a BMI ≤ 40. The average timeframe analyzed for preoperative weight loss was 592 days. Patients who had at least a 3% weight loss (n = 49, 26.9%) had decreased rates of SSI compared to those who did not have this weight loss (12.2% vs 27.8%, p = 0.03), despite the groups having similar BMIs at the time of surgery (36.4 vs 36.0, p = 0.50). Patients who only had a 1% weight loss did not see a decrease in SSI rate compared to those who did not (20.6% vs 25.4%, p = 0.45). CONCLUSION: Weight loss may be a better indicator of a patient's risk for wound morbidity following TAR than BMI alone, as weight loss of at least 3% resulted in fewer SSIs despite similar BMIs at time of surgery. Further research into optimal timing and amount of weight loss, as well as effects on long-term outcomes, is needed to confirm these findings.

Life-course trajectories of body mass index from adolescence to old age: Racial and educational disparities.

No research exists on how body mass index (BMI) changes with age over the full life span and social disparities therein. This study aims to fill the gap using an innovative life-course research design and analytic methods to model BMI trajectories from early adolescence to old age across 20th-century birth cohorts and test sociodemographic variation in such trajectories. We conducted the pooled integrative data analysis (IDA) to combine data from four national population-based NIH longitudinal cohort studies that collectively cover multiple stages of the life course (Add Health, MIDUS, ACL, and HRS) and estimate mixed-effects models of age trajectories of BMI for men and women. We examined associations of BMI trajectories with birth cohort, race/ethnicity, parental education, and adult educational attainment. We found higher mean levels of and larger increases in BMI with age across more recent birth cohorts as compared with earlier-born cohorts. Black and Hispanic excesses in BMI compared with Whites were present early in life and persisted at all ages, and, in the case of Black-White disparities, were of larger magnitude for more recent cohorts. Higher parental and adulthood educational attainment were associated with lower levels of BMI at all ages. Women with college-educated parents also experienced less cohort increase in mean BMI. Both race and education disparities in BMI trajectories were larger for women compared with men.

Exploring the Interaction Between Preschool Executive Control and Caregiver Emotion Socialization in Predicting Adolescent Weight Trajectories.

There is a critical need for research examining how neural vulnerabilities associated with obesity, including lower executive control, interact with family factors to impact weight trajectories across adolescence. Utilizing a longitudinal design, the present study investigated caregivers' emotion socialization practices as a moderator of the association between preschool executive control and adolescent body mass index (BMI) trajectories. Participants were 229 youth (Mage = 5.24, SD = 0.03; 47.2% assigned female at birth; 73.8% White, 3.9% Black, 0.4% Asian American, 21.8% multiracial; 12.7% Hispanic) enrolled in a longitudinal study. At preschool-age, participants completed performance-based executive control tasks, and their caregivers reported on their typical emotion-related socialization behaviors (i.e., supportive and nonsupportive responses to children's negative emotions). Participants returned for annual laboratory visits at ages 14 through 17, during which their height and weight were measured to calculate BMI. Although neither preschool executive control nor caregiver emotion-related socialization behaviors were directly associated with BMI growth in adolescence, supportive responses moderated the association between executive control and BMI trajectories. The expected negative association between lower preschool executive control and greater BMI growth was present at below average levels of supportive responses, suggesting that external regulation afforded by supportive responses might reduce risk for adolescent overweight and obesity among children with lower internal self-regulatory resources during preschool. Findings highlight the importance of efforts to bolster executive control early in development and targeted interventions to promote effective caregiver emotion socialization (i.e., more supportive responses) for youth with lower internal self-regulatory abilities to mitigate risk for overweight and obesity and promote health across childhood and adolescence.

Gestational weight trajectory and risk of adverse pregnancy outcomes among women with gestational diabetes mellitus: A retrospective cohort study.

The aim of this study was to explore gestational weight gain (GWG) trajectories and their associations with adverse pregnancy outcomes. A retrospective cohort study including 11,064 women with gestational diabetes mellitus (GDM) was conducted between 2015 and 2019 in China. The latent class trajectory model was used to identify GWG trajectories, and logistic regression was performed to examine odds ratio (OR) of pregnancy outcomes. Three trajectories of GWG were identified in these 11,604 women with GDM. Trajectory 1: 64.02% of women had sustained moderate GWG throughout pregnancy; Trajectory 2: 17.75% of women showed a high initial GWG but followed by a low GWG from the third trimester until delivery; Trajectory 3: 18.23% had low initial GWG but followed by drastic GWG from the second trimester until delivery. Compared with pregnant women with Trajectory 1, women with Trajectory 2 had a higher risk of large for gestational age (adjusted odds ratio [AOR]: 1.29, 95% confidence interval [CI]: 1.12-1.48) but at a lower risk of having hypertensive disorders of pregnancy (AOR: 0.76, 95% CI: 0.57-0.96). Women in Trajectory 3 were more likely to develop small for gestational age (AOR: 2.12, 95% CI: 1.62-2.78), low birthweight (AOR: 1.49, 95% CI: 1.07-2.08), preterm birth (AOR: 1.28, 95% CI: 1.05-1.63), caesarean section (AOR: 1.26, 95% CI: 1.112-1.42) and hypertensive disorders of pregnancy (AOR: 2.24, 95% CI: 1.82-2.76). The association of GWG trajectory with adverse pregnancy outcomes differs across prepregnancy body mass index and GWG categories. Women with a slow initial GWG but followed by drastic GWG had higher risks of adverse pregnancy outcomes. Early clinical recognition of poor GWG trajectory will contribute to early intervention in high-risk groups to minimise adverse outcomes.

Maternal prenatal cholesterol levels predict offspring weight trajectories during childhood in the Norwegian Mother, Father and Child Cohort Study.

BACKGROUND: Numerous intrauterine factors may affect the offspring's growth during childhood. We aimed to explore if maternal and paternal prenatal lipid, apolipoprotein (apo)B and apoA1 levels are associated with offspring weight, length, and body mass index from 6 weeks to eight years of age. This has previously been studied to a limited extent. METHODS: This parental negative control study is based on the Norwegian Mother, Father and Child Cohort Study and uses data from the Medical Birth Registry of Norway. We included 713 mothers and fathers with or without self-reported hypercholesterolemia and their offspring. Seven parental metabolites were measured by nuclear magnetic resonance spectroscopy, and offspring weight and length were measured at 12 time points. Data were analyzed by linear spline mixed models, and the results are presented as the interaction between parental metabolite levels and offspring spline (age). RESULTS: Higher maternal total cholesterol (TC) level was associated with a larger increase in offspring body weight up to 8 years of age (0.03 ≤ Pinteraction ≤ 0.04). Paternal TC level was not associated with change in offspring body weight (0.17 ≤ Pinteraction ≤ 0.25). Higher maternal high-density lipoprotein cholesterol (HDL-C) and apoA1 levels were associated with a lower increase in offspring body weight up to 8 years of age (0.001 ≤ Pinteraction ≤ 0.005). Higher paternal HDL-C and apoA1 levels were associated with a lower increase in offspring body weight up to 5 years of age but a larger increase in offspring body weight from 5 to 8 years of age (0.01 ≤ Pinteraction ≤ 0.03). Parental metabolites were not associated with change in offspring height or body mass index up to 8 years of age (0.07 ≤ Pinteraction ≤ 0.99). CONCLUSIONS: Maternal compared to paternal TC, HDL-C, and apoA1 levels were more strongly and consistently associated with offspring body weight during childhood, supporting a direct intrauterine effect.

Prenatal ambient air pollution exposure and child weight trajectories from the 3rd trimester of pregnancy to 2 years of age: a cohort study.

BACKGROUND: Prenatal air pollution exposure may increase risk for childhood obesity. However, few studies have evaluated in utero growth measures and infant weight trajectories. This study will evaluate the associations of prenatal exposure to ambient air pollutants with weight trajectories from the 3rd trimester through age 2 years. METHODS: We studied 490 pregnant women who were recruited from the Maternal and Development Risks from Environmental and Social Stressors (MADRES) cohort, which comprises a low-income, primarily Hispanic population in Los Angeles, California. Nitrogen dioxide (NO2), particulate matter < 10 µm (PM10), particulate matter < 2.5 µm (PM2.5), and ozone (O3) concentrations during pregnancy were estimated from regulatory air monitoring stations. Fetal weight was estimated from maternal ultrasound records. Infant/child weight measurements were extracted from medical records or measured during follow-up visits. Piecewise spline models were used to assess the effect of air pollutants on weight, overall growth, and growth during each period. RESULTS: The mean (SD) prenatal exposure concentrations for NO2, PM2.5, PM10, and O3 were 16.4 (2.9) ppb, 12.0 (1.1) µg/m3, 28.5 (4.7) µg/m3, and 26.2 (2.9) ppb, respectively. Comparing an increase in prenatal average air pollutants from the 10th to the 90th percentile, the growth rate from the 3rd trimester to age 3 months was significantly increased (1.55% [95%CI 1.20%, 1.99%] for PM2.5 and 1.64% [95%CI 1.27%, 2.13%] for NO2), the growth rate from age 6 months to age 2 years was significantly decreased (0.90% [95%CI 0.82%, 1.00%] for NO2), and the attained weight at age 2 years was significantly lower (- 7.50% [95% CI - 13.57%, - 1.02%] for PM10 and - 7.00% [95% CI - 11.86%, - 1.88%] for NO2). CONCLUSIONS: Prenatal ambient air pollution was associated with variable changes in growth rate and attained weight from the 3rd trimester to age 2 years. These results suggest continued public health benefits of reducing ambient air pollution levels, particularly in marginalized populations.

Anthropometric trajectory in the course of life and occurrence of sarcopenia in men and women: results from the ELSA-Brasil cohort.

This study aimed to identify patterns of anthropometric trajectories throughout life and to analyse their association with the occurrence of sarcopenia in people from the Longitudinal Study of Adult Health (ELSA-Brasil). It is a cross-sectional study involving 9670 public servants, aged 38-79 years, who answered the call for new data collection and exams, conducted approximately 4 years after the study baseline (2012-2014). Data sequence analysis was used to identify patterns of anthropometric trajectory. A theoretical model was elaborated based on the directed acyclic graph (DAG) to select the variables of minimum adjustment in the analysis of the causal effect between trajectory and sarcopenia. Poisson regression with robust variance was adopted for data analysis. The patterns of change in the anthropometric trajectory were classified in stable weight (T1); change to normal weight (T2); change to excess weight (T3); weight fluctuation (T4) and change to low weight (T5). The prevalence of sarcopenia in men and women who changed the anthropometric path for the low weight was twice as large when compared to participants with a stable weight trajectory. A protective effect of the excess weight trajectory was observed for the occurrence of sarcopenia in them. The results pointed to the need for health policies that encourage the proper management of body components in order to prevent and control obesity, as well as to preserve the quantity and quality of skeletal muscle mass throughout life, especially in older adults.

Weight trajectories from birth to 5 years and child appetitive traits at 7 years of age: a prospective birth cohort study.

Rapid prenatal and postnatal weight gain seem to alter appetite regulation and hypothalamic functions through different pathways; however, little is known on how early life growth trajectories may influence appetitive traits in school-age. We aimed to explore the associations between weight trajectories from birth to 5 years and appetitive traits at 7. Participants were from the Generation XXI birth cohort (n 3855). Four weight trajectories were investigated: 'normal weight gain' (closely overlaps the 50th percentile in the weight-for-age curve), 'weight gain during infancy' (low birth weight and weight gain mainly during infancy), 'weight gain during childhood' (continuous weight gain since birth) and 'persistent weight gain' (always showing higher weight than the average). Appetitive traits were assessed through the Children's Eating Behaviour Questionnaire. Associations were tested using generalised linear models, adjusted for maternal and child characteristics. Compared with 'normal weight gain', those in the other growth trajectories showed greater enjoyment of food and eating in response to food stimuli (i.e. Food Responsiveness) but were less able to compensate for prior food intake and ate faster at 7 (i.e. less Satiety Responsiveness and Slowness in Eating). Also, those with 'weight gain during infancy' showed to have greater Emotional Overeating and less Emotional Undereating and were fussier. Associations were stronger if greater weight gain occurred during infancy. Early infancy seems to be a sensitive period in the development of later appetitive traits. The control of rapid growth during infancy, besides strategies focused on the overall environment where children are living, is necessary.

Trajectory of blood pressure levels and weight gain in pregnant women: A group-based approach.

BACKGROUND AND OBJECTIVES: Morbidities associated with increased blood pressure levels during pregnancy represent one of the main causes of maternal mortality. The objective was to identify patterns of systolic blood pressure (SPB) trajectory in pregnant women undergoing prenatal care at the Unified Health System, and associations with weight gain trajectory, demographic, obstetric, anthropometric data, and health related behaviors. METHODS AND RESULTS: Cohort study with pregnant women using the public health services in Brazil. Data were collected through questionnaires and medical records. Trajectory patterns of SBP and weight gain were identified by a group-based trajectory model. For trajectory analysis, 460 women had SBP information available, totaling 2839 measurements, with an average of 6.2 measurements during pregnancy. Three SBP trajectory patterns were identified and classified as "Group 1" (48.0%), with a mean of 103 mmHg (95% CI 102.5-103.7 mmHg), "Group 2" (42.7%) with a mean of 114 mmHg (95% CI 113.7-114.9 mmHg), and "Group 3" (9.1%) with the highest mean SBP value of 130 mmHg (95% CI 128.8-131.5 mmHg). It was observed that regardless of the weight gain trajectory group, women classified in the group with the highest SBP had the highest SBP levels. The probability of being classified in Group 3 was higher among women with higher education, who started pregnancy presenting obesity, and who were using antihypertensive drugs. CONCLUSION: The probability of belonging to groups with a greater trajectory of SBP during pregnancy was associated with obesity, education, and hypertension under treatment.

Maternal weight trajectories and associations with infant growth in South African women.

BACKGROUND: Despite the close relationship between pre-pregnancy body mass index (BMI), gestational weight gain (GWG) and postpartum weight (PPW), these factors are often studied separately. There are no data characterising longitudinal weight trajectories among pregnant and postpartum women in urban African populations. We examined maternal weight trajectories from pregnancy through to 12 months postpartum, factors associated with higher weight trajectory class membership and associations of weight trajectories with infant growth at 12 months. METHODS: Data from 989 women were examined for weight trajectories from first antenatal care visit in pregnancy to 12 months postpartum using latent-class growth models. Baseline factors associated with class membership were assessed using multinomial logistic regression. Of the enrolled women, 613 of their infants were assessed for growth at 12 months. Anthropometry measurements for mothers and infants were conducted by a trained study nurse. Associations between maternal weight trajectory class and infant weight-for-age (WAZ), length-for-age (LAZ), weight-for-length (WLZ) at 12 months of age were analysed using linear regression. RESULTS: Four distinct classes of maternal weight trajectories were identified. The classes included consistent low (29%), consistent medium (37%), medium-high (24%) and consistent high (10%) trajectories. Similar to trends observed with medium-high trajectory, baseline factors positively associated with consistent high class membership included age (OR 1.05, 95% CI 1.01-1.09), pre-pregnancy BMI (OR 2.24, 95% CI 1.97-2.56), stage 1 hypertension (OR 3.28, 95% CI 1.68-6.41), haemoglobin levels (OR 1.39, 95% CI 1.11-1.74) and parity (OR 1.39, 95% CI 1.15-1.67); living with HIV (OR 0.47, 95% CI 0.30-0.74) was inversely associated. In adjusted analyses, compared to consistent medium weight trajectory, consistent low weight trajectory (mean difference -0.41, 95% CI -0.71;-0.12) was associated with decreased, and consistent high weight trajectory (mean difference 1.21, 95% CI 0.59-1.83) with increased infant WAZ at 12 months of age. CONCLUSION: Identification of unique longitudinal weight trajectory groupings might inform comprehensive efforts targeted at improving healthy maternal weight and infant outcomes.

Body shape trajectories are associated with birth weight, body mass index and sociodemographic conditions in participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): a multiple correspondence analysis.

BACKGROUND: Evaluating lifelong weight trajectories is challenging due to the high costs of studies that follow individuals from childhood to adulthood. The use of silhouette scales has been a new approach to assess the body shape trajectory across life as a proxy for body weight trajectory. Depending on body shape trajectories, individuals may be more prone to develop diseases in adulthood. Therefore, identifying factors related to them is essential for public health. This study aimed to evaluate body shape trajectories across the lifespan and to verify associations between them, birth weight, body mass index, and sociodemographic conditions in a Brazilian cohort. METHODS: This is a cross-sectional analysis conducted with 14,014 participants of first follow-up data collection of Longitudinal Study of Adult Health (ELSA-Brasil). ELSA-Brasil is a multicentric prospective cohort study initiated in 2008 with civil servants of six public institutions in the Northeast, South and Southeast regions of Brazil. We applied a clustering method to longitudinal data to identify body shape trajectories from 5 to 40 years of age and assessed the associations between these trajectories and birth weight, body mass index and sociodemographic conditions (race, education, maternal education and monthly per capita family income) using multiple correspondence analysis. RESULTS: We found five body shape trajectories for women and three for men. Low birth weight was associated with a slight to moderate increase in shape. High birth weight was associated with maintaining large body size in both sexes and markedly increased body shape in women. Higher sociodemographic status and white race were associated with marked increases in body shape in men and maintenance of medium body shape in women. CONCLUSIONS: The study shows that variables related to worse lifetime weight status (evaluated by anthropometry), such as presence of obesity, are also associated with worse body shape trajectories, as assessed with silhouette scales. Our results suggest that body shape trajectories are a good indicator of body weight trajectories and may be used when cohort studies are not possible.

The Baseline Gut Microbiota Directs Dieting-Induced Weight Loss Trajectories.

BACKGROUND & AIMS: Elucidating key factors affecting personal responses to food is the first step toward implementing personalized nutrition strategies in for example weight loss programs. Here, we aimed to identify factors of importance for individual weight loss trajectories in a natural setting where participants were provided dietary advice but otherwise asked to self-manage the daily caloric intake and data reporting. METHODS: A 6-month weight-reduction program with longitudinal collection of dietary, physical activity, body weight, and fecal microbiome data as well as single-nucleotide polymorphism genotypes in 83 participants was conducted, followed by integration of the high-dimensional data to define the most determining factors for weight loss in a dietician-guided, smartphone-assisted dieting program. RESULTS: The baseline gut microbiota was found to outperform other factors as a predieting predictor of individual weight loss trajectories. Weight loss was also linked to the magnitude of changes in abundances of certain bacterial species during dieting. Ruminococcus gnavus (MGS0160) was significantly enriched in obese individuals and decreased during weight loss. Akkermansia muciniphila (MGS0120) and Alistipes obesi (MGS0342) were significantly enriched in lean individuals, and their abundance increased during dieting. Finally, Blautia wexlerae (MGS0575) and Bacteroides dorei (MGS0187) were the strongest predictors for weight loss when present in high abundance at baseline. CONCLUSION: Altogether, the baseline gut microbiota was found to excel as a central personal factor in capturing the relationship between dietary factors and weight loss among individuals on a dieting program.

Effects of weight change on all causes, digestive system and other causes mortality in Southern Italy: a competing risk approach.

Weight change is associated with all causes of death, cardiovascular, and cancer mortality and a heterogeneous group of other causes of death. We aimed to estimate the effect of weight change on all causes and cause-specific mortality in a cohort with a high prevalence of deaths due to diseases of the digestive system.MethodsIn this prospective cohort study, 2230 subjects aged 30 to 50 years were examined. The study consisted of a 32-year longitudinal study period (January 1985 to December 2017) and mortality follow-up. Outcomes were mortality from all causes and deaths from gastrointestinal disease. Root Mean Squared Error (RMSE) was evaluated to capture individual residual variation in Body Mass Index (BMI) after adjustment for baseline BMI, and the relationship of residual variation with mortality was calculated as cumulative incidence function and cause-specific hazard (CSH) rate.ResultsIn total, 793 participants died during the follow-up, 96 of them due to Digestive system causes. Magnitude of residual variation weight in the last quintile was associated with all-cause mortality (relative risk, 2.00; 95% CI, 1.54-2.59) and Digestive system causes (relative risk, 3.82; 95% CI, 1.86-7.81).ConclusionThe findings suggest an association between weight change and gastrointestinal disease mortality. Epidemiological works studying the correlation between weight change and mortality should consider this aspect.

Does interpregnancy BMI change affect the risk of complications in the second pregnancy? Analysis of pooled data from Aberdeen, Finland and Malta.

OBJECTIVE: Weight management interventions during pregnancy have had limited success in reducing the risk of pregnancy complications. Focus has now shifted to pre-pregnancy counselling to optimise body weight before subsequent conception. We aimed to assess the effect of interpregnancy body mass index (BMI) change on the risk of perinatal complications in the second pregnancy. METHODS: A cohort study was performed using pooled maternity data from Aberdeen, Finland and Malta. Women with a BMI change of ±2 kg/m2 between their first and second pregnancies were compared with those who were BMI stable (remained within ±2 kg/m2). Outcomes assessed included pre-eclampsia (PE), intrauterine growth restriction (IUGR), preterm birth, birth weight, and stillbirth in the second pregnancy. We also assessed the effect of unit change in BMI for PE and IUGR. Logistic regression was used to calculate odds ratios with 95% confidence intervals. RESULTS: An increase of ≥2 kg/m2 between the first two pregnancies increased the risk of PE (1.66 (1.49-1.86)) and high birthweight (>4000 g) (1.06 (1.03-1.10)). A reduction of ≥2 kg/m2 increased the chance of IUGR (1.15 (1.01-1.31)) and preterm birth (1.14 (1.01-1.30)), while reducing the risk of instrumental delivery (0.75 (0.68-0.85)) and high birthweight (0.93 (0.87-0.98)). Reducing BMI did not significantly decrease PE risk in women with obesity or those with previous PE. A history of PE or IUGR in the first pregnancy was the strongest predictor of recurrence independent of interpregnancy BMI change (5.75 (5.30-6.24) and (7.44 (6.71-8.25), respectively). CONCLUSION: Changes in interpregnancy BMI have a modest impact on the risk of high birthweight, PE and IUGR in contrasting directions. However, a prior history of PE and IUGR is the dominant predictor of recurrence at second pregnancy.

Weight-loss thresholds after bariatric surgery and cardiovascular outcomes: more is better.

BACKGROUND/OBJECTIVES: Whether the extent of weight loss (WL) modulates bariatric surgery (BS) cardiovascular benefits has scarcely been assessed. Several WL thresholds have been commonly used to classify BS patients as good or poor responders without a proven clinical relevance. We examined the relationship between the magnitude of WL after BS and post-surgery major adverse cardiovascular-event (MACE) incidence. We also compared the performance of three different insufficient weight-loss (IWL) criteria for their association with MACE. SUBJECTS AND METHODS: All individuals who underwent a primary Roux-en Y gastric bypass (RYGB) or sleeve gastrectomy (SG) in our institution at least six years before data analysis (12/2020) were included in the study. Data on MACE were available in 1638 of 1700 participants (96.4%). Proportional-hazard Cox analyses were performed to ascertain the association between MACE, WL, and the three IWL criteria. IWL was defined as: <50% excess weight loss (<50% EWL), <20% total body-weight loss (<20% TBWL), and -1 standard deviation of alterable weight-loss percentage (<1 SD% AWL). RESULTS: During a mean follow-up of 10.2 ± 2.8 years, 86 participants experienced a first post-surgery MACE. Higher WL at one year (HR: 0.77 (95% CI: 0.61-0.98)) and 5 years (HR: 0.63 (95% CI: 0.42-0.92)) was related to a lower incidence of MACE. All short-term criteria for defining IWL were similarly associated with MACE, yet <1 SD% AWL identified more at-risk subjects. Five-year TBWL < 20% and 5-year <1 SD-AWL% were significantly associated with a higher risk for CV events. TBWL < 20% identified more subjects at risk. CONCLUSIONS: The extent of WL is closely related to long-term MACE incidence. Patients who lost -1SD% AWL at one year or <20% TBWL at five years may be considered poor responders.

Trajectories of Infant Weight Gain from Birth to 12 Months and Adult-Onset Coronary Heart Disease.

OBJECTIVE: To investigate associations between infant weight gain trajectories and coronary heart disease (CHD). STUDY DESIGN: We followed 3645 Danish individuals born between 1959 and 1961 with information on weight at birth and at age 2 weeks and 1, 2, 3, 4, 6, or 12 months. Sex-specific weight trajectories were generated using latent class modeling. Cases of CHD (n = 279) were identified from national health registers. Hazard ratios (HRs) were estimated by Cox regression with sequential adjustment for sex, socioeconomic status, prepregnancy body mass index, maternal smoking, preterm birth, parity, and birth weight. RESULTS: We identified 5 trajectories of weight development in infancy in our cohort: very low-moderate increase (11.5% of the population), low-marked increase (13.9%), low-stable increase (32.4%), average-stable increase (29.8%), and high-moderate increase (12.4%). Compared with the average-stable increasing trajectory, having a very low-moderately increasing weight trajectory in infancy was associated with a higher frequency of adult CHD (HR, 1.56; 95% CI, 1.04-2.33). The higher frequency remained after adjustment for maternal factors but was slightly attenuated after additional adjustment for preterm birth and parity (HR, 1.41; 95% CI, 0.91-2.23) and disappeared after adjustment for birth weight (HR, 0.78; 95% CI, 0.44-1.37). The associations with CHD did not differ between the other trajectories and the average-stable increasing trajectory. CONCLUSIONS: Although a pattern of very low-moderate increasing weight during infancy was associated with a higher frequency of adult CHD, the association did not persist after adjustment for birth weight, highlighting the importance of prenatal exposures.