Weight Trajectories Research Articles

Influence of age and sex on longitudinal metabolic profiles and body weight trajectories in the UK Biobank.

Accurate characterization of how age influences body weight and metabolism at different stages of life is important for understanding ageing processes. Here, we explore observational longitudinal associations between metabolic health and weight from the fifth to the seventh decade of life, using carefully adjusted statistical designs. Body measures and biochemical data from blood and urine (220 measures) across two visits were available from 10 104 UK Biobank participants. Participants were divided into stable (within ±4% per decade), weight loss and weight gain categories. Final subgroups were metabolically matched at baseline (48% women, follow-up 4.3 years, ages 41-70; n = 3368 per subgroup) and further stratified by the median age of 59.3 years and sex. Pulse pressure, haemoglobin A1c and cystatin-C tracked ageing consistently (P < 0.0001). In women under 59, age-associated increases in citrate, pyruvate, alkaline phosphatase and calcium were observed along with adverse changes across lipoprotein measures, fatty acid species and liver enzymes (P < 0.0001). Principal component analysis revealed a qualitative sex difference in the temporal relationship between body weight and metabolism: weight loss was not associated with systemic metabolic improvement in women, whereas both age strata converged consistently towards beneficial (weight loss) or adverse (weight gain) phenotypes in men. We report longitudinal ageing trends for 220 metabolic measures in absolute concentrations, many of which have not been described for older individuals before. Our results also revealed a fundamental dynamic sex divergence that we speculate is caused by menopause-driven metabolic deterioration in women.

Understanding family dynamics of obesity: Do parents and children lose and gain weight together?

Obesity is prevalent among children and adults. Yet, understanding the relationship between parent and child weight trajectories is limited. (1) Examine the association between parent/child undesirable body mass index (BMI) category change. (2) Assess whether parental BMI category predicts child modified BMI z-score (mBMIz) annual change. We conducted a cross-sectional study of weight trajectories of 3821 parent-child dyads between March 2020 and December 2021 within the NYC Health + Hospitals system. Undesirability of child and parental BMI category change and the magnitude of mBMIz change by parental BMI are analysed. Of 3821 children (mean [SD] baseline age, 9.84 [3.51]), 1889 were female. Of the 3220 parents (mean [SD] baseline age, 39.9 [8.51]), 2988 were female. Most children (53.52%) and parents (81.94%) presented with overweight and obesity. Undesirable BMI change in children was associated with concordant change in parents (adjusted OR: 1.7, 95% CI [1.45, 2.01], adjusted p < 0.001). Children of parents with obesity (adjusted coef: 0.076, 95% CI [0.004, 0.147], p < 0.038) and severe obesity (adjusted coef: 0.1317, 95% CI [0.024, 0.239], adjusted p < 0.016) demonstrated greater change in mBMIz than those of parents with normal weight or underweight. Parents and children have concordant weight trajectories, and public health interventions targeting both populations are essential.

PM2.5 and O3 in an Enclosed Basin, the Guanzhong Basin of Northern China: Insights into Distributions, Appointment Sources, and Transport Pathways

Aerosol samples (PM2.5) were collected in Xi’an (XN) from 11 August to 11 September 2021 and in Qinling (QL) from 14 July to 24 August 2021, respectively. In addition, ozone (O3) data were collected in order to investigate the characteristics and source areas of PM2.5 and O3 in the Guanzhong Basin (GB). The concentrations of PM2.5, organic carbon (OC), and elemental carbon (EC) in XN (53.40 ± 17.42, 4.61 ± 2.41, and 0.78 ± 0.60 μg m−3, respectively) were higher than those in QL (27.57 ± 8.27, 4.23 ± 1.37, and 0.67 ± 0.53 μg m−3, respectively) in summer. Total water-soluble ions (TWSIIs) accounted for 19.40% and 39.37% of the PM2.5 concentrations in XN and QL, respectively. O3 concentrations in summer were 102.44 ± 35.08 μg m−3 and 47.95 ± 21.63 μg m−3 in XN and QL, respectively, and they showed a significant correlation with Ox. The positive matrix factorization (PMF) model identified three main sources in XN and QL, including coal combustion source (COB), secondary aerosol (SA), and dust sources (DUSs). The potential source contribution function (PSCF) and a concentration weight trajectory (CWT) model with back-trajectory analysis showed that Inner Mongolia, the interior of Shaanxi, and nearby areas to the southwest were the sources and source areas of carbonaceous matter in XN and QL. The results of this study can contribute to the development of prevention and control policies and guidelines for PM2.5 and O3 in the GB. Furthermore, long-term and sustainable measuring and monitoring of PM2.5 and O3 are necessary, which is of great significance for studying climate change and the sustainable development of the environment.

One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective study

BackgroundNutritional status is a modifiable factor associated with perimenopausal women’s health and quality of life. Assessing body composition indicators helps to comprehensively understand nutritional status compared with using body mass index (BMI) only. However, few published studies measured the trends in body composition among perimenopausal women.ObjectivesTo assess the one-year trajectory of the nutritional status of perimenopausal women and to explore its influential factors.MethodsA community-based observational study with 3-wave repeated measurements at 6-month intervals was carried out. The nutritional status indicators include weight, body mass index (BMI), and body composition variables. Bioelectrical impedance analysis was used to assess body composition. Repeated measures ANOVA and Chi-square test were used to calculate the changes in nutritional status and generalized estimating equations were performed to explore their influential factors.Results2760 participants completed the study. Increasing trajectories in weight (from 56.05 ± 7.55 to 57.02 ± 7.60), fat mass (from 17.99 ± 4.80 to 20.49 ± 4.90), and waist-hip ratio (from 0.86 ± 0.04 to 0.91 ± 0.15) were found (P < 0.001). Decreasing trajectories in skeletal muscle (from 20.30 ± 2.38 to 19.19 ± 2.46), protein level (from 7.39 ± 0.79 to 7.06 ± 0.81), and total body water (from 27.87 ± 2.92 to 27.00 ± 3.01) were found (P < 0.001). Being married/unmarried with a partner and without negative life events were associated with higher total body water, skeletal muscle, and protein level, while negatively associated with fat mass and waist-hip ratio. Age was positively associated with fat mass (P < 0.001). Participants with junior high school education were prone to increased fat mass (P = 0.018) compared with those holding primary school education and below. A per capita monthly income of 1500 to 3000 Yuan was associated with higher total body water, skeletal muscle, and protein level (P < 0.001) compared with a per capita monthly income of less than 1500 Yuan.ConclusionWorsening nutritional status exists in perimenopausal women, which is characterized by increased weight, fat mass, and waist-hip ratio, and decreased skeletal muscle, total body water, and protein level. For greater efficiency, precision nutritional interventions are needed, and recipients should be classified into different risk levels based on their sociodemographic background.

Associations between maternal pre-pregnancy BMI and infant striatal mean diffusivity

BackgroundIt is well-established that parental obesity is a strong risk factor for offspring obesity. Further, a converging body of evidence now suggests that maternal weight profiles may affect the developing offspring’s brain in a manner that confers future obesity risk. Here, we investigated how pre-pregnancy maternal weight status influences the reward-related striatal areas of the offspring’s brain during in utero development.MethodsWe used diffusion tensor imaging to quantify the microstructure of the striatal brain regions of interest in neonates (N = 116 [66 males, 50 females], mean gestational weeks at birth [39.88], SD = 1.14; at scan [43.56], SD = 1.05). Linear regression was used to test the associations between maternal pre-pregnancy body mass index (BMI) and infant striatal mean diffusivity.ResultsHigh maternal pre-pregnancy BMI was associated with higher mean MD values in the infant’s left caudate nucleus. Results remained unchanged after the adjustment for covariates.ConclusionsIn utero exposure to maternal adiposity might have a growth-impairing impact on the mean diffusivity of the infant’s left caudate nucleus. Considering the involvement of the caudate nucleus in regulating eating behavior and food-related reward processing later in life, this finding calls for further investigations to define the prognostic relevance of early-life caudate nucleus development and weight trajectories of the offspring.

The Impact of Excluding Adverse Neonatal Outcomes on the Creation of Gestational Weight Gain Charts Among Women from Low- and Middle-income Countries with Normal and Overweight BMI

BackgroundExisting gestational weight gain (GWG) charts vary considerably in their choice of exclusion/inclusion criteria, and it is unclear to what extent these criteria create differences in the charts’ percentile values. ObjectivesWe aimed to establish the impact of including/excluding pregnancies with adverse neonatal outcomes when constructing GWG charts. MethodsThis is an individual participant data analysis from 31 studies from low- and middle-income countries. We created a dataset that included all participants and a dataset restricted to those with no adverse neonatal outcomes: preterm < 37 wk, small or large for gestational age, low birth weight < 2500 g, or macrosomia > 4000 g. Quantile regression models were used to create GWG curves from 9 to 40 wk, stratified by prepregnancy BMI, in each dataset. ResultsThe dataset without the exclusion criteria applied included 14,685 individuals with normal weight and 4831 with overweight. After removing adverse neonatal outcomes, 10,479 individuals with normal weight and 3466 individuals with overweight remained. GWG distributions at 13, 27, and 40 wk were virtually identical between the datasets with and without the exclusion criteria, except at 40 wk for normal weight and 27 wk for overweight. For the 10th and 90th percentiles, the differences between the estimated GWG were larger for overweight (∼1.5 kg) compared with normal weight (<1 kg). Removal of adverse neonatal outcomes had minimal impact on GWG trajectories of normal weight. For overweight, the percentiles estimated in the dataset without the criteria were slightly higher than those in the dataset with the criteria applied. Nevertheless, differences were <1 kg and virtually nonexistent at the end of pregnancy. ConclusionsRemoving pregnancies with adverse neonatal outcomes has little or no influence on the GWG trajectories of individuals with normal and overweight.

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) trajectoriesand 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 trajectorymodelwas 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 withpregnant 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 indexand 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.

Abstract 3404: Body weight trajectory among patients with non-small-cell lung cancer receiving immune checkpoint inhibitors

Abstract Objectives: Body weight is an important prognostic factor in patients with lung cancer. As immunotherapy involves toxicities, body weight may be affected during the treatment course. The objective of this study is to examine the trajectory of weight changes at 180 and 365 days after the initiation of immune checkpoint inhibitors (ICIs) among patients with NSCLC. Methods: Retrospective chart review and data extraction were performed among patients receiving ICIs at the Ohio State University Comprehensive Cancer Center between 2015 and 2021. Patients with NSCLC were included in this study if their initial treatment entailed a PD-1/PD-L1 ICI), either alone or in combination with chemotherapy/targeted cancer drugs, and if they also had their body weights recorded on ICI initiation and 180 days after (± 30 days) treatment initiation. A subset of these patients who had body weight data on day 365 of ICI initiation were included in additional analysis. Percentages of change in body weight relative to pre-ICI were calculated ([weight at 180 or 360 days minus pre-ICI weight] divided by pre-ICI weight x 100%) and examined by treatment regimen and pre-ICI body mass index (BMI) using t-tests. A sensitivity analysis was performed by excluding 11 patients with cachexia defined by the presence of ICD-9 (799.4) or 10 (R64) codes in their medical records. Results: A total of 554 patients with NSCLC received any ICI; 139 patients met the inclusion criteria, of which 96 had body weight data on day 365. The mean age of diagnosis was 63.8 (SD=10.1); 80% were White and 18.7% were Black. The median time on ICI was 195 days (inter-quartile range, 55-392 days) among patients with ICI only and 255 days (inter-quartile range, 126-479 days) among patients with ICI combined with chemotherapy or targeted cancer drugs. Among patients receiving ICI only, body weight increased among those with normal weight (BMI &amp;lt;25.0; mean change = +7.57%, P=0.013) but decreased among those classified as overweight (BMI = 25.0 to 29.9; −5.2%, P=0.037) or obese (BMI ≥30; −6.5%, P=0.025). Decreases in weight were also observed for patients with obesity and receiving a combined treatment (−9.65%, P=0.043). After one year of treatment, weight changes among patients receiving ICI only remained significant in the normal weight group (+15.6%, P=0.007), but not among patients with other BMIs and treatment regimens. These associations remained similar after excluding the patients with cachexia. Conclusions: Body weight change during ICI therapy may vary by treatment regimen and pre-ICI BMI among patients with NSCLC. Whether the weight changes are related to toxicities and survival warrants further research to shed light on weight management, ICI efficacy, and prevention of treatment-related adverse events. Funding: The study was in part funded by NIH/NCI R37CA248371, OSUCCC CCSG P30CA016058, and Pelotonia Institute for Immuno-Oncology (PIIO) at OSUCCC. Citation Format: Ting-Yuan David Cheng, Ben Kinder, Rand T. Akasheh, Cuthbert Mario Mahenge, Carolyn J. Presley, Peter G. Shields, Xuan Nguyen, Aditi Shendre, Zihai Li, Lang Li. Body weight trajectory among patients with non-small-cell lung cancer receiving immune checkpoint inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3404.

Exposure to 4,4'-DDE in visceral adipose tissue and weight loss in adolescents from the Teen-LABS cohort.

Dichlorodiphenyldichloroethylene (DDE), an obesogen accumulating in adipose tissue, is released into circulation with weight loss, although its impact is underexplored among adolescents. We tested the association using an integrative translational approach of epidemiological analysis among adolescents with obesity and in vitro measures exploring the impact of DDE on adipogenesis via preadipocytes. We included 63 participants from the Teen-Longitudinal Assessment of Bariatric Surgery (Teen-LABS) cohort. We assessed 4,4'-DDE in visceral adipose tissue at surgery and BMI and waist circumference at surgery and 0.5, 1, 3, and 5 years after. We conducted longitudinal analysis to estimate the interaction on weight loss between DDE and time since surgery. In vitro analysis quantified adipogenic differentiation in commercial human preadipocytes exposed to 4,4'-DDE via fluorescent staining and imaging. A dose-response relationship was observed, with the low-exposure group having a greater reduction in BMI during the first year compared to higher-exposure groups and showing smaller regains compared to higher-exposure groups after the first year. In vitro analysis of preadipocytes treated with 4,4'-DDE during adipogenic differentiation for 12 days showed a concentration-dependent increase in lipid accumulation. DDE could contribute to weight trajectory among adolescents undergoing bariatric surgery, potentially mediated via promoted adipogenesis in preadipocytes.

COVID-19 and changes in young adults' weight concerns.

The COVID-19 pandemic introduced fundamental challenges to nearly all aspects of college students' lives, yet changes in key domains of their health, including weight concerns, remain untested. The current study utilized a longitudinal project comprised of 355 young-adult college students (Mage=19.5, 66.8% female, 33.2% male) oversampled for recent substance use behavior. Participants completed multiple assessments (mode = 5) from September 2017 to September 2021. Piecewise growth-curve models tested whether COVID-19 onset was associated with changes in the trajectories of young adults' weight concerns. Analyses also examined participants' sex as a moderator of these trajectories. On average, participants reported a significant increase in weight concern levels around the start of COVID-19, although weight concern slopes were not significantly different before and after COVID-19. Additionally, moderation analyses showed that females (but not males) had a significant increase in weight concern levels after COVID-19 onset.

Large-volume lipolysis assisted by low-level multifrequency laser in obesity: Short-term weight trajectories and postoperative complications

Introduction: Obesity is a chronic and complex syndrome resulting from the interactions of genetic, environmental, metabolic, and psychological factors. Current pharmacologic treatments often yield limited, unsustainable weight loss; thus, bariatric surgery and large and giant-volume liposuction have emerged as viable options for its control. Objective: This study aimed to assess Laser-assisted with large-volume liposuction in weight reduction effectiveness in obese adults and to describe the early postoperative complications of this procedure.

Growth trajectory of full-term small-for-gestational-age infants: a 3-year longitudinal study in China

ObjectiveSmall-for-gestational-age (SGA) infants are at risk of impaired growth and developmental outcomes, even for those who were born at full term. The growth trajectory of full-term SGA infants remains unknown....

How are APOE4, changes in body weight, and longevity related? Insights from a causal mediation analysis.

The ε4 allele of the APOE gene (APOE4) is known for its negative association with human longevity; however, the mechanism is unclear. APOE4 is also linked to changes in body weight, and the latter changes were associated with survival in some studies. Here, we explore the role of aging changes in weight in the connection between APOE4 and longevity using the causal mediation analysis (CMA) approach to uncover the mechanisms of genetic associations. Using the Health and Retirement Study (HRS) data, we tested a hypothesis of whether the association of APOE4 with reduced survival to age 85+ is mediated by key characteristics of age trajectories of weight, such as the age at reaching peak values and the slope of the decline in weight afterward. Mediation effects were evaluated by the total effect (TE), natural indirect effect, and percentage mediated. The controlled direct effect and natural direct effect are also reported. The CMA results suggest that APOE4 carriers have 19%-22% (TE p = 0.020-0.039) lower chances of surviving to age 85 and beyond, in part, because they reach peak values of weight at younger ages, and their weight declines faster afterward compared to non-carriers. This finding is in line with the idea that the detrimental effect of APOE4 on longevity is, in part, related to the accelerated physical aging of ε4 carriers.

Exposure to Airborne PM2.5 Water-Soluble Inorganic Ions Induces a Wide Array of Reproductive Toxicity.

Water-soluble inorganic ions (WSIIs, primarily NH4+, SO42-, and NO3-) are major components in ambient PM2.5, but their reproductive toxicity remains largely unknown. An animal study was conducted where parental mice were exposed to PM2.5 WSIIs or clean air during preconception and the gestational period. After delivery, all maternal and offspring mice lived in a clean air environment. We assessed reproductive organs, gestation outcome, birth weight, and growth trajectory of the offspring mice. In parallel, we collected birth weight and placenta transcriptome data from 150 mother-infant pairs from the Rhode Island Child Health Study. We found that PM2.5 WSIIs induced a broad range of adverse reproductive outcomes in mice. PM2.5 NH4+, SO42-, and NO3- exposure reduced ovary weight by 24.22% (p = 0.005), 14.45% (p = 0.048), and 16.64% (p = 0.022) relative to the clean air controls. PM2.5 SO42- exposure reduced the weight of testicle by 5.24% (p = 0.025); further, mice in the PM2.5 SO42- exposure group had 1.81 (p = 0.027) fewer offspring than the control group. PM2.5 NH4+, SO42-, and NO3- exposure all led to lower birth than controls. In mice, 557 placenta genes were perturbed by exposure. Integrative analysis of mouse and human data suggested hypoxia response in placenta as an etiological mechanism underlying PM2.5 WSII exposure's reproductive toxicity.

Weight Categories, Trajectories, Eating Behavior, and Metabolic Consequences during Pregnancy and Postpartum in Women with GDM.

Pre-pregnancy overweight and obesity are associated with increased risk for adverse outcomes, such as gestational diabetes mellitus (GDM). This study investigated weight trajectories, eating behaviors, and metabolic consequences in women with GDM during pregnancy and postpartum according to pre-pregnancy BMI. We prospectively included 464 women with GDM. Intuitive eating (Intuitive Eating Scale-2 questionnaire), gestational weight gain (GWG), postpartum weight retention (PPWR) at 6-8 weeks and 1-year postpartum, and glucose intolerance (prediabetes and diabetes) at 1-year were assessed. Women with obesity (WOB) had lower GWG but gained more weight in the postpartum (p < 0.0001). PPWR at 1-year did not differ across BMI categories (p = 0.63), whereas postpartum weight loss was most pronounced in women with normal weight (p < 0.0001), and within this category, in their lowest tertile (p < 0.05). Intuitive eating was not linked to perinatal weight changes but differed among BMI categories. PPWR predicted a 2.5-fold increased risk of glucose intolerance at 1-year independent of pre-pregnancy BMI (p < 0.001), and the adverse metabolic impact of PPWR was most pronounced in WOB with odds of increased risk of glucose intolerance 8.9 times higher (95% CI 2.956;26.968). These findings suggest an adaptive capacity to relatively rapid weight changes in the perinatal period that is less present with higher BMI.

Circadian Disruption across Lifespan Impairs Glucose Homeostasis and Insulin Sensitivity in Adult Mice.

Circadian rhythm disruption is associated with impaired glucose homeostasis and type 2 diabetes. For example, night shift work is associated with an increased risk of gestational diabetes. However, the effects of chronic circadian disruption since early life on adult metabolic health trajectory remain unknown. Here, using the "Short Day" (SD) mouse model, in which an 8 h/8 h light/dark (LD) cycle was used to disrupt mouse circadian rhythms across the lifespan, we investigated glucose homeostasis in adult mice. Adult SD mice were fully entrained into the 8 h/8 h LD cycle, and control mice were entrained into the 12 h/12 h LD cycle. Under a normal chow diet, female and male SD mice displayed a normal body weight trajectory. However, female but not male SD mice under a normal chow diet displayed glucose intolerance and insulin resistance, which are associated with impaired insulin signaling/AKT in the skeletal muscle and liver. Under high-fat diet (HFD) challenges, male but not female SD mice demonstrated increased body weight gain compared to controls. Both male and female SD mice developed glucose intolerance under HFD. Taken together, these results demonstrate that environmental disruption of circadian rhythms contributes to obesity in a sexually dimorphic manner but increases the risk of glucose intolerance and insulin resistance in both males and females.

Weight Loss Treatment and Longitudinal Weight Change Among Primary Care Patients With Obesity

Among individuals with obesity, 5% or greater weight loss can improve health. Weight management treatments (WMT) include nutrition counseling, very low-calorie meal replacement (MR), antiobesity medications (AOM), and bariatric surgery; however, little is known about how these WMT are associated with weight change among individual patients and populations. To characterize weight status and WMT use among primary care patients and assess associations between WMT and weight trajectories. Retrospective, population-based cohort study of primary care patients from 1 academic health system in Michigan between October 2015 and March 2020 using cross-sectional analysis to compare obesity prevalence and WMT utilization. For patients with obesity and WMT exposure or matched controls, a multistate Markov model assessing associations between WMT and longitudinal weight status trajectories was used. Data were analyzed from October 2021 to October 2023. Cross-sectional exposure was year: 2017 or 2019. Trajectory analysis exposures were WMT: nutrition counseling, MR, AOM, and bariatric surgery. Cross-sectional analysis compared mean body mass index (BMI), obesity prevalence, and, among patients with obesity, prospective WMT use. The trajectory analysis examined longitudinal weight status using thresholds of ±5% and 10% of baseline weight with primary outcomes being the 1-year probabilities of 5% or greater weight loss for each WMT. Adult patients (146 959 participants) consisted of 83 636 female participants (56.9%); 8940 (6.1%) were Asian, 14 560 (9.9%) were Black, and 116 664 (79.4%) were White. Patients had a mean (SD) age of 49.6 (17.7) years and mean (SD) BMI of 29.2 (7.2). Among 138 682 patients, prevalence of obesity increased from 39.2% in 2017 to 40.7% in 2019; WMT use among patients with obesity increased from 5.3% to 7.1% (difference: 1.7%; 95% CI, 1.3%-2.2%). In a multistate model (10 180 patients; 33 549 patient-years), the 1-year probability of 5% or greater weight loss without WMT exposure was 15.6% (95% CI, 14.3%-16.5%) at reference covariates. In contrast, the probability of 5% or greater weight loss was more likely with year-long exposures to any WMT (nutrition counseling: 23.1%; 95% CI, 21.3%-25.1%; MR: 54.6%; 95% CI, 46.5%-61.2%; AOM: 27.8%; 95% CI, 25.0%-30.5%; bariatric surgery: 93.0%; 95% CI, 89.7%-95.0%). In this cohort study of primary-care patients with obesity, all WMT increased the patient-level probability of achieving 5% or greater weight loss, but current rates of utilization are low and insufficient to reduce weight at the population level.

Transport and Potential Sources Regions of Double High Pollution in Nanjing by Different Synoptic Situations

Based on the hourly concentration data of fine particulate matter （PM2.5） and ozone （O3） in Nanjing from 2015 to 2019， the synoptic situation that occurred in Nanjing， in which high PM2.5 and high O3 coexisted （hereinafter referred to as double high pollution （DHP））， was typed using T-mode principal component analysis. Additionally， the backward trajectory clustering analysis method， potential source contribution method （PSCF）， and concentration weight trajectory analysis method （CWT） were used to study the transport paths and potential source region distribution of the DHP of Nanjing by different synoptic situations. The synoptic situations favorable to the DHP in Nanjing were the control of weak low-pressure type （Type1） and high-pressure center （Type2）. Synoptic situations could have had an effect on the directional origin of the backward trajectory. In Type1， the Nanjing area was affected by two low pressures in the northeast and southwest， and the clustering trajectories of the Nanjing air mass mainly came from the eastern and western directions. The average concentrations of PM2.5 and O3 in the trajectory were 83.48 μg·m-3 and 106.85 μg·m-3， respectively. In Type 2， Nanjing and its surroundings were at the edge of the high-pressure center， and the air mass cluster trajectories mainly came from the north and east. The average concentrations of PM2.5 and O3 in the trajectory were 94.47 μg·m-3 and 92.32 μg·m-3， respectively. Most of the two types of backward trajectories belonged to short and medium-distance regional transportation， indicating that the pollution of neighboring provinces was one of the main factors affecting the DHP in Nanjing. PSCF and CWT analysis showed that the distribution of the most important potential sources of PM2.5 and O3 in Type1 and Type2 were not completely consistent， which indicates that the two pollutants did not come from the same area in the DHP.

Temporal Trends of Obesity Among Nebraska Adults: EMR Data Shows a More Rapid Increase Than Projected.

Obesity data is typically obtained from national population surveys, while the use of more accurate electronic medical record (EMR) data is underutilized. The objective of this study is to calculate current obesity prevalence and weight trends using EMR data and compare the results to prior survey-based obesity prevalence projections for the state. This retrospective study analyzed Body Mass Index (BMI) from deidentified EMR data from 16,491 adult patients in urban midwestern primary care clinics between January 2017 and October 2021 for obesity prevalence and weight trajectories, stratified by age and gender. There was a large discrepancy between the survey-based self-reported rates of obesity (35.5%) and those calculated from baseline EMR data (47.6%), along with a smaller discrepancy in females (47.9%) compared to males (47.2%). Young adults aged 20 to 29 years showed a larger increase in BMI over time compared to other age groups. EMR-derived data indicates a prevalence of obesity greater than projections that have been based on self-reported survey data as well as higher weight trends than projected for this midwestern state. As evident from our study, cohorts such as at-risk young adults with a more rapid weight gain trajectory should be prioritized for enhanced obesity management.

An auditory perspective on phonological development in infancy.

The auditory system encodes the phonetic features of languages by processing spectro-temporal modulations in speech, which can be described at two time scales: relatively slow amplitude variations over time (AM, further distinguished into the slowest <8-16 Hz and faster components 16-500 Hz), and frequency modulations (FM, oscillating at higher rates about 600-10 kHz). While adults require only the slowest AM cues to identify and discriminate speech sounds, infants have been shown to also require faster AM cues (>8-16 Hz) for similar tasks. Using an observer-based psychophysical method, this study measured the ability of typical-hearing 6-month-olds, 10-month-olds, and adults to detect a change in the vowel or consonant features of consonant-vowel syllables when temporal modulations are selectively degraded. Two acoustically degraded conditions were designed, replacing FM cues with pure tones in 32 frequency bands, and then extracting AM cues in each frequency band with two different low-pass cut- off frequencies: (1) half the bandwidth (Fast AM condition), (2) <8 Hz (Slow AM condition). In the Fast AM condition, results show that with reduced FM cues, 85% of 6-month-olds, 72.5% of 10-month-olds, and 100% of adults successfully categorize phonemes. Among participants who passed the Fast AM condition, 67% of 6-month-olds, 75% of 10-month-olds, and 95% of adults passed the Slow AM condition. Furthermore, across the three age groups, the proportion of participants able to detect phonetic category change did not differ between the vowel and consonant conditions. However, age-related differences were observed for vowel categorization: while the 6- and 10-month-old groups did not differ from one another, they both independently differed from adults. Moreover, for consonant categorization, 10-month-olds were more impacted by acoustic temporal degradation compared to 6-month-olds, and showed a greater decline in detection success rates between the Fast AM and Slow AM conditions. The degradation of FM and faster AM cues (>8 Hz) appears to strongly affect consonant processing at 10 months of age. These findings suggest that between 6 and 10 months, infants show different developmental trajectories in the perceptual weight of speech temporal acoustic cues for vowel and consonant processing, possibly linked to phonological attunement.