Dietary eggs, egg nutrients, polygenic score for body mass index, "Western pattern" diet, and weight change, a prospective analysis in the Women's health initiative.

BACKGROUND & AIMS: Eggs contain nutrients which could help enrich the diets of postmenopausal women. Egg consumption and elevated body weight have been associated with elevated risk of serious chronic disease. It is possible that elevated body weight mediates between egg consumption and serious chronic disease. However, few studies exist on the link between egg consumption and body weight in post-menopausal women, and none of them accounted for genetic weight gain predispositions. Our objective was to examine associations between egg consumption, body weight, and genetic predisposition for an elevated Body Mass Index (BMI), in postmenopausal women. METHODS: We analyzed data from 4439 healthy Women's Health Initiative participants of European descent during a 6-year follow up using multivariable generalized linear mixed models to prospectively evaluate egg and egg-nutrient intake (measured by a food frequency questionnaire) against body weight and a BMI polygenic score (PGS-BMI) derived from GWAS meta-analysis effect-allele frequencies. RESULTS: We found a positive prospective association between change in egg intake and body weight during the 6-year follow up. For instance, at year 3, women whose intake had increased by 2.0 eggs/week had gained 0.70 kg (95%CI: 0.34, 1.07, p = 0.0002) more than women whose intake had decreased by 2.4 eggs/week, p-linear <0.0001. Cholesterol-intake and choline-intake, but not betaine-intake, showed similar significant associations. Exploratory analysis revealed that: 1) women only demonstrated these significant associations if they exhibited higher intakes of "Western-pattern" foods including processed and red meats, French fries, sweets and deserts, sugar-sweetened beverages, fried foods, and dietary fat, and dietary energy; and 2) there was a significant positive prospective association between PGS-BMI and body-weight change, but only in the top quintile of egg-intake change. CONCLUSIONS: We found significant positive prospective associations between weight change and changes in egg intake, cholesterol intake, and choline intake among healthy postmenopausal women of European ancestry in the Women's Health Initiative. Exploratory analyses revealed that: 1) these significant associations only obtained among women who ate large amounts of "Western-pattern" foods; and 2) women with a higher genetic susceptibility for an elevated BMI gained more weight only if they increased their egg intake considerably. Our results require confirmation.

Adaptation mechanism of Phan Rang sheep to salinity in drinking water under tropical conditions.

The aims of this study were to determine adaptation mechanism of sheep to salinity in drinking water. A group of 10 male sheep were used in a 6-week of experiment, with 1 week for pre-treatment period (Week 1), 4 weeks for during treatment period (Week 2 to Week 5), and 1 week for posttreatment period (Week 6). During the pre- and posttreatment periods, sheep consumed with fresh water. However, during treatment period, they were given with diluted seawater (DSW) at concentrations of 0.5%, 1.0%, 1.5%, and 2% for Weeks 2, 3, 4, and 5, respectively. Animal was offered 300 g concentrate and corn stover silage for ab libitum. Dry matter intake decreased as DSW increased, whereas sheep drinking DSW showed an increase in water intake and urine volume (p < 0.05). Body weight change decreased in 2% DSW. Sheep consuming 2% DSW exhibited higher plasma electrolyte levels compared to other groups. But plasma levels of AST, ALT, and creatinine were unaffected by DSW (p > 0.05). The elevated levels and excretions of urinary electrolytes were found in DSW groups (p < 0.05). Water balance was unaffected by DSW, except during the recovery period. It concluded that adapted sheep can consume DSW up to 1.5% without harmful effects.

Association of weight change with all-cause and cause-specific mortality: an age-stratified analysis.

BACKGROUND: The associations of weight change with all-cause and cause-specific mortality stratified by age remains unclear. We evaluated the age-stratified (< 65 vs ≥ 65 years) associations of weight change with all-cause and cause-specific mortality in a large sample of Chinese adults. METHODS: Our cohort study included 746,991 adults aged at least 45 years from the Shenzhen Healthcare Big Data Cohort in China. BMI change were categorized as change within 5% (stable), decrease by 5% to 10%, decrease by > 10%, increase by 5% to 10%, and increase by > 10%. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause, non-communicable disease, cardiovascular disease (CVD), and cancer mortality according to BMI change, with adjustment for potential confounders. RESULTS: During a median follow-up of 2.2 years (2,330,180 person-years), there were 10,197 deaths. A notable interaction emerged between weight change and age. For participants ≥ 65 years, compared with stable BMI, more than a 10% decrease in BMI was associated with higher risk of all-cause mortality (HR: 1.69, 95% CI: 1.54-1.86), non-communicable disease mortality (HR: 1.67, 95% CI: 1.52-1.84), CVD mortality (HR: 1.55, 95% CI: 1.34-1.80), and cancer mortality (HR: 1.59, 95% CI: 1.33-1.92). Similar patterns of results for 5% to 10% decrease in BMI were observed. More than a 10% increase in BMI was associated with increased risk of all-cause mortality (HR: 1.13, 95% CI: 1.04-1.24), non-communicable disease mortality (HR: 1.14, 95% CI: 1.04-1.25), and CVD mortality (HR: 1.27, 95% CI: 1.12-1.44). For participants < 65 years, only more than a 10% decrease in BMI was associated with higher risk of all-cause mortality (HR: 1.41, 95% CI: 1.12-1.77), non-communicable disease mortality (HR: 1.43, 95% CI: 1.13-1.81), and cancer mortality (HR: 1.79, 95% CI: 1.29-2.47). CONCLUSIONS: Weight loss and excessive weight gain were associated with increased risks of mortality among older adults, while only excessive weight loss was associated with increased risks of mortality among middle-aged adults.

Ultra-processed Food Intake During Pregnancy and its Impact on Maternal Diet Quality and Weight Change: A Systematic Review of Observational Studies.

PURPOSE OF REVIEW: Adequate and balanced nutrition during pregnancy is essential for both the mother's and fetus's health. The increased dietary intake of ultra-processed foods (UPFs) and their significant share in the diet negatively affects diet quality and gestational weight gain during pregnancy. The aim of this systematic review was to examine the association of UPFs consumption with diet quality and gestational weight change among healthy pregnant women, using data from observational studies (PROSPERO Identifier: CRD42023468269) from the last 10 years. RECENT FINDINGS: A search was performed in Pubmed, Wiley, Scopus, and Web of Science, and studies published in english language were selected. Study selection and data extraction were made by determining the exclusion and eligible inclusion criterias according to the PECOS framework. Of the 12 studies included, 5 were longitudinal cohort studies and 7 were cross-sectional studies. On average, half of the energy in the participants' daily diets came from UPFs in 3 studies, but the energy share of UPFs was about 20-30% in the remainder studies. UPFs-enriched maternal diet was associated with less dietary intake of legumes, vegetables, fruits and protein sources (seafood and plant protein, total protein) and greater consumption of refined grains compared to those who consume less UPFs. In parallel, UPFs consumption was negatively associated with Healthy Eating Index. UPF intake during pregnancy has a negative impact on diet quality and gestational weight gain. Increasing awareness of UPFs during this period may reduce potential complications during pregnancy and fetal growth.

Comparison of sleep quality, diet quality, and weight change between COVID-19-recovered patients and healthy controls: A matched case-control study.

Background and Aim: Literature suggests that individuals who have recovered from COVID-19 may experience post-COVID conditions, including sleep problems and alterations in smell or taste. Thus, this study aims to compare the sleep quality, diet quality, and weight change between COVID-19-recovered patients and healthy controls. Methods: A matched case-control study involving young adults aged 18-30 years was conducted in the Klang Valley of Malaysia. The young adults were matched in a 1:1 ratio based on their sociodemographic characteristics, including gender, age, marital status, ethnicity, educational attainment, employment status, and monthly earned income. The Pittsburgh Sleep Quality Index was utilized to evaluate sleep quality, and the Diet Quality for Malaysia was used to determine the diet quality of all young adults. The young adults retrospectively recalled their prepandemic body weight in February 2020, while their current body weight in February 2023 was measured using a TANITA HD-314 digital weighing scale. Results: Emerging findings suggest that sleep quality and weight change were comparable between COVID-19-recovered patients and healthy controls. However, healthy controls were reported to have a more diversified diet than COVID-19-recovered patients. Nevertheless, no significant main effects or interaction effects of sleep and diet quality on weight change were observed in COVID-19-recovered patients or healthy controls. In this study, young adults also reported suffering from sleep deprivation and deficiency due to the pandemic. Conclusion: Intervention programs that emphasize avoiding stimulants before bedtime for healthy controls, promoting the importance of having a diversified and balanced diet among the COVID-19-recovered patients, and achieving an ideal body weight for all young adults should be conducted after the COVID-19 pandemic.

Weight change, variability, and trajectories and risk of hip fracture among older adults with Dysglycemia: the cardiovascular health study.

BACKGROUND: Type 2 diabetes mellitus and lower weight are both associated with osteoporotic fractures, but the roles of variability and trajectory are less clear.1 The associations of these factors among older adults with dysglycemia, who are at highest risk of fracture, with fracture risk and bone mineral density (BMD) remains uncertain. METHODS: We followed 775 men and 1080 women from the Cardiovascular Health Study (mean age 77.4 years) with abnormal oral glucose tolerance testing in 1989-1990. We measured their weights yearly through 1994-1995 and derived intra-individual mean weight, weight slope, and weight variability. We also used growth mixture modelling to derive four latent body-mass index trajectories over time. We used Cox proportional hazards models to calculate hazard ratios (HR) and 95% confidence intervals (CI) for subsequent hip fracture through 2015 and linear regression models to estimate cross-sectional associations with bone mineral density (BMD) of the hip. RESULTS: Each 10 kg higher mean weight was associated with a lower risk of subsequent hip fracture overall (HR 0.81; CI 0.70-0.94) and among women (HR 0.76; CI 0.64-0.91) and with higher BMD (P-value <0.001). Higher weight variability was directly associated with incident hip fracture among women (HR 1.18; CI: 1.03-1.35). Compared with a stable trajectory, a "progressive overweight" trajectory was associated with lower risk of hip fracture (HR 0.66; CI: 0.44-0.99). An uncommon trajectory of "accelerating obesity" was associated with higher BMD. CONCLUSIONS: Among older adults with dysglycemia at high risk for fracture, lower mean weight is associated with higher fracture risk, but variability and trajectory may also contribute. These results highlight the complex effects of weight in older age.

Older adults with diabetes are susceptible to falls and fractures, but how their weight affects their bone strength and fractures remains uncertain. We followed 1855 men and women age 65 years and older with abnormal glucose in The Cardiovascular Health Study and used yearly measured weights to calculate average weight, change in weight over time, and variability in weight. Higher mean weight was associated with lower risk of hip fracture and higher bone density. Weight variability was associated with higher fracture risk among older women. Using trajectories, a group that slowly gained weight over time had a lower risk of hip fracture compared to a group with stable weight.

A Longitudinal analysis of weight changes before and after total hip arthroplasty: Weight trends, patterns, and predictors.

BACKGROUND: It is crucial to understand weight trends in patients undergoing total hip arthroplasty (THA). OBJECTIVE: To evaluate preoperative and postoperative weight trends for patients undergoing primary THA and factors associated with clinically significant weight change. METHODS: A prospective cohort who underwent primary unilateral THA (n= 3,011) at a tertiary healthcare system (January 2016 to December 2019) were included in the study. The primary outcomes were clinically significant weight change (> 5% change in body mass index [BMI]) during the one-year preoperative and one-year postoperative periods. RESULTS: Preoperatively, 66.6% maintained a stable weight, 16.0% gained and 17.4% lost weight, respectively. Postoperatively, 64.0% maintained a stable weight, while 22.6% gained and 13.4% lost weight, respectively. Female sex, Black race, obesity, higher Charlson Comorbidity Index (CCI) scores, and older age were associated with preoperative weight loss. Female sex, obesity, higher CCI scores, and Medicare insurance were associated with postoperative weight loss. Preoperative weight loss was associated with postoperative weight gain (OR = 3.37 [CI: 2.67 to 4.25]; p< 0.001), and preoperative weight gain was associated with postoperative weight loss (OR = 1.74 [CI: 1.30 to 2.3]; p< 0.001). CONCLUSION: Most patients maintained a stable BMI one-year before and one-year after THA. Several factors are associated with weight loss before and after THA. Preoperative weight changes were associated with a reciprocal rebound in BMI post-operatively.

Weight changes following Achilles debridement with flexor hallucis longus transfer: A retrospective analysis.

Obesity poses a growing concern, with global predictions estimating over half the population to be overweight or obese by 2030 (1). While prior research has extensively explored the impact of obesity on hip and knee surgeries, a notable gap persists in understanding weight changes following foot and ankle procedures. This retrospective study focuses on the relationship between Body Mass Index (BMI) and Achilles debridement with flexor hallucis longus (FHL) transfer. Despite prevailing research on the adverse effects of obesity on orthopedic outcomes, few studies examine the reciprocal influence of surgeries on weight. A retrospective analysis of 136 patients undergoing primary Achilles debridement with FHL transfer was conducted. Data encompassing BMI, demographic information, and medical comorbidities were extracted from electronic medical records (EMRs). A clinically meaningful BMI change was considered as a 5 % variation. Inferential statistics in the form of analysis of variance, t-test, and linear regression were employed for data analysis. Among the 136 patients in the study, no statistically significant BMI changes were noted up to two years after surgery (p = 0.9967). While obesity remains a significant factor in foot and ankle surgery complications, our study suggests that Achilles debridement with FHL transfer does not induce significant weight changes. Further research exploring factors influencing weight changes and varying outcomes across demographics is warranted. LEVEL OF EVIDENCE: III.

Association of dietary diversity and weight change with cognitive impairment among Chinese elderly: A prospective national cohort study.

BACKGROUND: Dietary diversity is reported to be beneficial for cognitive function, while the effect may be offset by weight change status. We aimed to examine the association of dietary diversity and weight change with cognitive impairment among older adults. METHODS: We used three waves from 2008 to 2014 of the Chinese Longitudinal Survey of Health and Longevity, which included 16,954 participants for the subsequent screening and analysis. Dietary diversity information was collected from the food frequency questionnaire. Cognitive function was assessed using the Mini Mental State Examination. The relation of dietary diversity and weight change with cognitive impairment was investigated using Cox proportional hazards models and cubic spline regression. RESULTS: Compared with those reported poor dietary diversity at baseline, participants with good dietary diversity had a 16 % (hazard ratio [HR] = 0.84, 95 % confidence interval [CI]: 0.71-0.99) lower risk of cognitive impairment. The HR and 95 % CI of participants with consistently good dietary diversity from 2008 to 2011 was 0.71 (0.57-0.89) for cognitive impairment compared to those with consistently poor dietary diversity. Compared with the weight stable group, the HRs and 95 % CI for cognitive impairment were 1.34 (1.10-1.64) in weight loss group, and 1.08 (0.88-1.33) in weight gain group. Restricted cubic splines showed the risk of cognitive impairment decreased with higher dietary diversity score or less weight change, though no significant interaction between dietary diversity and weight change was found. LIMITATION: Given the observational nature of this study, there might be a reverse causation for the observed association. CONCLUSION: Establishing and maintaining good dietary diversity were associated with a lower risk of cognitive impairment regardless of weight change status, whereas weight loss was associated with increased cognitive impairment risk independently among older Chinese adults.

e-Cigarettes, Smoking Cessation, and Weight Change: Retrospective Secondary Analysis of the Evaluating the Efficacy of e-Cigarette Use for Smoking Cessation Trial.

BACKGROUND: While smoking cessation has been linked to substantial weight gain, the potential influence of e-cigarettes on weight changes among individuals who use these devices to quit smoking is not fully understood. OBJECTIVE: This study aims to reanalyze data from the Evaluating the Efficacy of e-Cigarette Use for Smoking Cessation (E3) trial to assess the causal effects of e-cigarette use on change in body weight. METHODS: This is a secondary analysis of the E3 trial in which participants were randomized into 3 groups: nicotine e-cigarettes plus counseling, nonnicotine e-cigarettes plus counseling, and counseling alone. With adjustment for baseline variables and the follow-up smoking abstinence status, weight changes were compared between the groups from baseline to 12 weeks' follow-up. Intention-to-treat and as-treated analyses were conducted using doubly robust estimation. Further causal analysis used 2 different propensity scoring methods to estimate causal regression curves for 4 smoking-related continuous variables. We evaluated 5 different subsets of data for each method. Selection bias was addressed, and missing data were imputed by the machine learning method extreme gradient boosting (XGBoost). RESULTS: A total of 257 individuals with measured weight at week 12 (mean age: 52, SD 12 y; women: n=122, 47.5%) were included. Across the 3 treatment groups, of the 257 participants, 204 (79.4%) who continued to smoke had, on average, largely unchanged weight at 12 weeks, with comparable mean weight gain ranging from -0.24 kg to 0.33 kg, while 53 (20.6%) smoking-abstinent participants gained weight, with a mean weight gain ranging from 2.05 kg to 2.70 kg. After adjustment, our analyses showed that the 2 e-cigarette arms exhibited a mean gain of 0.56 kg versus the counseling alone arm. The causal regression curves analysis also showed no strong evidence supporting a causal relationship between weight gain and the 3 e-cigarette-related variables. e-Cigarettes have small and variable causal effects on weight gain associated with smoking cessation. CONCLUSIONS: In the E3 trial, e-cigarettes seemed to have minimal effects on mitigating the weight gain observed in individuals who smoke and subsequently quit at 3 months. However, given the modest sample size and the potential underuse of e-cigarettes among those randomized to the e-cigarette treatment arms, these results need to be replicated in large, adequately powered trials. TRIAL REGISTRATION: ClinicalTrials.gov NCT02417467; https://www.clinicaltrials.gov/study/NCT02417467.

Association Between Body Mass Index Changes and All-Cause Mortality in Parkinson's Disease.

Background: Whether body weight changes are associated with Parkinson's disease (PD) mortality remains uncertain. Objective: To investigate the association between changes in body mass index (BMI) and all-cause mortality in patients with PD. Methods: This nationwide cohort study enrolled 20,703 individuals with new-onset PD (ICD-10 code: G20 and a rare intractable disease registration code: V124) who underwent health screening program by the Korean National Health Insurance Service within two years from pre- and post-PD diagnosis. We identified nine BMI change groups based on three BMI status: underweight (BMI < 18.5 kg/m2), normal or overweight (18.5 kg/m2≤BMI < 25 kg/m2), and obese (BMI≥25 kg/m2). Results: Of 20,703 individuals, 3,789 (18.0%) died during the follow-up period. Excessive weight loss to underweight in the obese group (hazard ratio [HR] = 3.36, 95% CI:1.60-7.08), weight loss in the normal to overweight group (HR = 2.04, 95% CI:1.75-2.39), sustained underweight status (HR = 2.05, 95% CI:1.67-2.52), and weight gain from underweight to normal or overweight (HR = 1.52, 95% CI:1.15-2.02) were associated with increased mortality. Sustained obese status (HR = 0.80, 95% CI:0.74-0.87) and weight gain in the normal to overweight group (HR = 0.82, 95% CI:0.71-0.95) were associated with reduced mortality. Conclusions: We found that BMI change at diagnosis was associated with mortality in patients with PD. Specifically, being underweight either before or after diagnosis as well as experiencing weight loss, were associated with increased mortality. These findings provide valuable insights for weight management planning in PD, highlighting the importance of individualized approach that consider pre-diagnosis BMI.

Whether body weight changes are associated with Parkinson's disease (PD) mortality remains uncertain. This study looked at how changes in body weight affect the chances of survival in people who have recently been diagnosed with PD. We followed 20,703 individuals who were newly diagnosed with this condition and checked their weight changes before and after their diagnosis. We found that people with PD who lost a lot of weight to become underweight had a higher risk of dying during our study. Similarly, those who were already underweight and remained so also had a higher mortality risk. On the other hand, people who maintained a weight or gained a small amount of weight after their diagnosis had the lowest risk of dying. Our research found that weight changes at diagnosis were associated with mortality in PD, with underweight or weight loss being linked to increased risk of death. Each person's situation is different, so weight management should be tailored to each individual, considering their weight before they were diagnosed with PD.

Adulthood weight changes, body mass index in youth, genetic susceptibility and risk of atrial fibrillation: a population-based cohort study.

BACKGROUND: Epidemiological evidence on weight change and atrial fibrillation (AF) remains limited and inconsistent. Previous studies on body mass index (BMI) in youth and AF rarely considered subsequent BMI. This study aimed to assess the associations of AF with weight change and BMI in youth, as well as modified effect by genetic susceptibility of AF. METHODS: The study included 21,761 individuals (mean age 57.8 years) from the Malmö Diet and Cancer cohort. Weight information was obtained at three time points, including recalled weight at age 20 years, measured weight at baseline (middle adulthood), and reported weight at 5-year follow-up examination (late middle adulthood). A weighted genetic risk score of AF was created using 134 variants. RESULTS: During a median follow-up of 23.2 years, a total of 4038 participants developed AF. The association between weight change from early to middle adulthood and AF risk was modified by sex (Pinteraction = 0.004); weight loss was associated with a lower AF risk in females, but not in males. Conversely, weight gain was positively associated with AF risk in a linear manner in females, whereas increased AF risk appeared only when weight gain exceeded a threshold in males. Participants with weight gain of > 5 kg from middle to late middle adulthood had a 19% higher risk of AF relative to those with stable weight, whereas weight loss showed a null association. Compared to individuals with a lower BMI at age 20 years, those with a BMI above 25 kg/m2 had an increased risk of AF (HR = 1.14; 95% CI: 1.02-1.28), after controlling for baseline BMI; this association was more pronounced in males or those with a lower genetic risk of AF. CONCLUSIONS: Weight gain in middle adulthood was associated with higher AF risk. Weight loss from early to middle adulthood, but not from middle to late middle adulthood, was associated with a lower risk of AF only in females. Higher BMI in youth was associated with an increased risk of AF, particularly among males or those with a lower genetic risk of AF.

Associations of childhood and adulthood body size, and child-to-adult body size change with adult telomere length.

AIM: To comprehensively examine the associations of childhood and adulthood body size, and child-to-adult body size change with adult leucocyte telomere length (LTL). METHODS: We included 453 602 participants from the UK Biobank. Childhood body size at the age of 10 years was collected through a questionnaire. Adulthood body size was assessed using body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), fat mass index (FMI), and fat-free mass index (FFMI). RESULTS: Individuals with plumper body size in childhood exhibited shorter LTL in adulthood (-0.0086 [-0.0017, -0.0004]). Adulthood BMI (-0.0286 [-0.0315, -0.0258]), WC (-0.0271 [-0.0303, -0.0238]), WHR (-0.0269 [-0.0308, -0.0230]) and FMI (-0.0396 [-0.0438, -0.0351]) were negatively associated with LTL, whereas FFMI (0.0095 [0.0039, 0.0152]) was positively associated with LTL. Compared to individuals consistently having an average/normal weight in both childhood and adulthood, those who maintained or developed overweight/obesity from childhood to adulthood had a shorter adult LTL, regardless of childhood body size. Notably, the LTL shortening effect was not observed in individuals with plumper body size in childhood but normal weight in adulthood. CONCLUSIONS: Childhood and adulthood obesity are both associated with LTL shortening in adulthood. Transitioning to or maintaining overweight/obese status from childhood to adulthood is associated with shorter adult LTL, whereas this effect can be reversed if plumper children become normal weight.

Evaluation of socioecological factors on health behaviors and weight change during major life event: A cross-sectional study using data collected during the COVID-19 pandemic.

Background: Socioecological factors are associated with key health behaviors that are critical for weight management, and major life events may disrupt engagement in these behaviors. However, the influence of socioecological factors on health behaviors in the midst of major life events is not clear and is difficult to study due to the random and sporadic nature of their occurrence. The COVID-19 pandemic provided a unique opportunity to study a major life event and its impacts on diet, physical activity, and body weight. Objective: This cross-sectional study aimed to investigate associations between socioecological factors (environmental, interpersonal, and individual) and self-reported weight change during a major life event using data collected during the COVID-19 pandemic, and whether the associations were mediated through self-reported changes in eating and physical activity behaviors. Methods: Participants self-reported socioecological factors, weight change, and changes in eating behaviors (EB) and physical activity (PA) via online questionnaires between December 2020 and October 2021. Changes in EB and PA were measured using scales with higher scores reflecting more positive changes during the COVID-19 pandemic. Results: Participants (n = 1283) were mostly female (84.9%) with age 52.1 ± 14.1 years (mean ± SD) and BMI of 32.9 ± 8.2 kg/m2. Stronger healthy eater and exercise identities (individual factors) were associated with higher EB scores (EBS) and PA scores (PAS), respectively (p's < 0.00001). Less discouragement for healthy eating by family/friends (interpersonal factor) was associated with higher EBS (p = 0.002). Higher EBS and PAS were associated with weight loss. The indirect effect of healthy eater identity (-0.72; 95% CI: -0.90, -0.55) and discouragement for diet (0.07; 95% CI: 0.03, 0.12) on weight change through EBS were significant, as was the indirect effect of exercise identity (-0.25; 95% CI: -0.35, -0.15) on weight change through PAS. Conclusions: Stronger identities and less discouragement from family/friends may support health promoting behaviors and weight loss during a major life event, as well as identify additional behavioral targets for lifestyle interventions. Clinical Trial Registration: IWCR was registered at ClinicalTrials.gov (NCT04907396).

Fruit and vegetable intake modifies the association between ultra-processed food and metabolic syndrome.

BACKGROUND: This prospective cohort study aimed to investigate the association between ultra-processed food (UPF) and the risk of metabolic syndrome (MetS), as well as to assess whether fruit and vegetable intake and weight change modify this association. METHODS: We included 1915 healthy participants who participated in the Tehran Lipid and Glucose Study (TLGS), all of whom had complete demographic, anthropometric, and dietary measurements. A validated food frequency questionnaire was used to assess UPF consumption based on the NOVA classification system. MetS was defined according to the Joint Interim Statement. Multivariable adjusted Cox regression was used to estimate hazard ratios (HRs) for MetS events across tertiles of UPF. The effect of fruit and vegetable consumption and weight change on this association was assessed using joint classification by Cox regression. RESULTS: UFP consumption showed no association with MetS risk after adjusting for confounders. However, after adjustment for dietary fiber, fruits, and vegetables, the highest tertile of UPF consumption was positively linked to MetS risk, compared to the lowest tertile. There was a significant interaction between fruit, vegetable, and dietary fiber intake and UPF consumption concerning the risk of MetS (All P values < 0.05). Among individuals consuming less than 248 g/day of fruit, the risk of MetS increased by 54% (confidence interval: 1.13-2.10) in the highest UPF tertile. Consuming vegetables and dietary fiber below the median (258 g/day and 42.2 g/day, respectively) increased the risk of MetS in the third tertile of UPF. However, consuming vegetables and fiber ≥ median intake, reduced the risk of MetS among those with the lowest UPF consumption. Furthermore, the risk of MetS was observed in the third tertile of UPF consumption among individuals with fruit and vegetable consumption < 537 g/day. UPF consumption was not associated with the risk of MetS in different weight change statuses. CONCLUSIONS: Consuming more fruits and vegetables mitigated the adverse effect of UPF on the risk of developing MetS.

Length of Overnight Fasting and 6-year Weight Change in the Cancer Prevention Study-3.

BACKGROUND: Longer overnight fasting (ONF) is a potential strategy for weight control. Although promising, the evidence from large population-based studies is limited. OBJECTIVES: To examine the association of self-reported ONF duration with 3- and 6-y weight change in the American Cancer Society's Cancer Prevention Study-3 prospective cohort. METHODS: United States adult Cancer Prevention Study-3 participants completed a 24-h validated meal and snack timing and frequency grid (weekday and weekend) in 2015, from which weighted ONF hours were calculated. Participants reported body weight in 2015, 2018, and 2021. Three- and 6-y weight change (kg, and % body weight) were assessed. RESULTS: Among 104,420 mostly female (78.5%) participants aged 52.7 ± 9.5 (standard deviation) y followed for 6 y, a 1-h increase in ONF length was associated with a small but statistically significant reduction in weight gain over 3- and 6-y periods [multivariable-adjusted mean difference in % body weight = -0.02, 95% confidence interval (CI): -0.05, -0.00, P = 0.03 and -0.04, 95% CI: -0.07, -0.01, P < 0.01, respectively]. The mean difference of 6-y % reduction in weight gain was slightly greater among individuals with overweight (-0.05, 95% CI: -0.10, 0.00, P = 0.05) and obesity (-0.06, 95% CI: -0.12, 0.01, P = 0.08) compared with those with healthy body mass index (-0.03, 95% CI:-0.07, 0.01, P = 0.13) or underweight (0.16, 95% CI: -0.04, 0.36, P = 0.13, Pinteraction < 0.0001). Stronger associations were observed among those ≤55 y than 56+ (P < 0.001), and those with higher waist circumference (Pinteraction < 0.0001) but not by sex or earlier/later fasting period. CONCLUSIONS: Longer ONF was associated with slightly lower body weight in adult males and females over 6 y that was stronger among those with overweight or obesity, higher waist circumference, and those aged ≤55 y. The magnitude of weight change, although in the hypothesized direction, suggests that prolonged ONF may have modest impact on weight control over time.

Optimal gestational weight change associated with improved perinatal outcomes in women with gestational diabetes mellitus: a population-based study in the United States.

BACKGROUND: Optimal gestational weight change (GWC) is little known among pregnant women with gestational diabetes mellitus (GDM). OBJECTIVES: This study aimed to explore the optimal GWC ranges for women with GDM and validate these ranges compared with the Institute of Medicine (IOM) guidelines. METHODS: A population-based cohort study using natality data from the National Center for Health Statistics in the United States included 1,338,460 mother-infant pairs with GDM from 2014 to 2020. Poisson regression models were performed to identify GWC ranges (GDM targets) associated with acceptable risks (<10% increase) for a severity-weighted composite outcome including preterm birth (PTB) <37 wk, large for gestational age (LGA, birthweight >90th percentile) and small for gestational age (SGA, birthweight <10th percentile). These targets were validated in individual outcomes including PTB, LGA, SGA, hypertensive disorders of pregnancy, neonatal intensive care unit admission, and neonatal respiratory morbidity, and compared with the IOM guidelines using logistic regression models with population-attributable fractions (PAFs) calculated. RESULTS: The severity-weighted composite outcome had a U-shaped or a J-shaped relationship with GWC across body mass index categories. The GDM targets were 14.1 to 20.3 kg, 9.0 to 17.0 kg, 4.8 to 13.8 kg, -0.8 to 10.8 kg, -2.4 to 8.2 kg, and -8.3 to 6.0 kg for underweight, normal weight, overweight, class 1 obesity, class 2 obesity, and class 3 obesity, respectively. GWC outside the GDM or the IOM targets was associated with increased adverse perinatal outcomes in validation analyses. PAFs indicated that the IOM guidelines reduced a similar or higher proportion of adverse perinatal outcomes compared with the GDM targets for women with GDM, except for those with class 2 and 3 obesity. CONCLUSIONS: The IOM guidelines are generally applicable for women with GDM, except for women with moderate and severe obesity. The optimal GWC ranges for women with GDM and moderate to severe obesity may be lower than the IOM guidelines.

Practical weight management to minimize pregnancy complications and promote women's health: the possibility of interpregnancy care.

Pregnancy is an excellent opportunity to provide medical interventions to women. It is also a stress test used to predict health. Numerous studies have demonstrated that the pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) are critical factors for pregnancy complications such as hypertensive disorders of pregnancy (HDP), gestational diabetes mellitus (GDM), large or small gestational age infants, and spontaneous preterm birth (sPTB). These complications are associated with an increased risk of cardiovascular disease (CVD), which is a leading cause of mortality in women. In addition, complications adversely affect the short- and long-term prognoses of children. Optimal GWG to reduce complications is recommended based on pre-pregnancy BMI; however, racial differences should also be noted. The values in the Japanese guidelines are lower than those in the American Institute of Medicine guidelines. The Asian BMI thresholds for CVD risk are also lower than those in Europe. Therefore, weight management should be based on racial/genetic background. Interpregnancy weight gain or loss has also been reported to be associated with the risk of pregnancy complications; however, few studies have been conducted in Asian populations. Our previous reports suggested that avoiding an excess of 0.6 kg/m2/year of annual BMI gain may reduce the risk of HDP or GDM, and insufficient gain of < 0.25 kg/m2/year may increase sPTB recurrence. Annual BMI is useful for practical weight control during interpregnancy. Based on these findings, effective approaches should be established to improve the health of women and their offspring.

Weight Change and the Risk of Micro and Macro Vascular Complications of Diabetes: A Systematic Review.

Type 2 diabetes mellitus (T2DM) is a metabolic disease that can be a significant cause of cardiovascular disease (CVD), leading to macrovascular and microvascular diseases. Many researchers around the world have investigated the effects of weight change on micro and macro CVD in patients with T2DM. This study aimed to investigate the effect of weight change (weight gain and loss) on microvascular and macrovascular complications in patients with T2DM. We searched PubMed, Scopus and Google Scholar from the database until January 2023. We screened the title, abstract, and full text of articles, and after quality assessment, we extracted data from interrelated ones into this systematic review. Reviewing the results of 11 cohort studies with 219,839 individuals (T2DM patients) showed that weight loss caused an increase in the mortality rate in diabetic patients, while weight gain after diabetes diagnosis increased the risk of CVD, chronic kidney disease (CKD), microvascular disease, stroke and mortality. It should be noted that severe body weight variability increases the mortality rate and the risk of microvascular disease. Unlike other studies, one study showed that more than 5% weight gain positively affected CVD and coronary heart disease in T2DM patients. Generally, weight change in patients with T2DM is an essential sign of cardiovascular complications. According to our findings, the risk of cardiovascular complications in patients with weight loss is seen to be higher than in patients with weight gain. In regular patients with body mass index (BMI), stable weight in a healthy range is reported to decrease the risk of CVD.

Weight change patterns across adulthood are associated with the risk of osteoarthritis: a population-based study.

BACKGROUND: Body weight has been recognized as a driving factor of osteoarthritis. Few studies had investigated the association between weight status across adulthood and risk of osteoarthritis (OA). This study investigates the association of weight change patterns across adulthood (lasting at least 25 years) with the risk of OA from the National Health and Nutrition Examination Survey (NHANES) 2013-2018. METHODS: The study assessed the relationship between weight change across adulthood and OA in 7392 individuals aged > 50 spanning a minimum of 25 years. Multivariate linear regression analyses were utilized to detect the association between weight change patterns and self-reported OA. Restricted cubic splines (RCS) were used to examine the nonlinear relationship between absolute weight change and OA risk. RESULTS: From 10 years ago to survey, the risk of OA was 1.34-fold (95% CI 1.07-1.68) in people changed from obese to non-obese, 1.61-fold (95% CI 1.29-2.00) in people change from non-obese to obese, and 1.82-fold (95% CI 1.49-2.22) in stable obese people compared with people who were at stable normal weight. Similar patterns were also observed at age 25 years to baseline and age 25 years to 10 years before the baseline. The dose-response association of RCS found a U-shaped relationship between absolute weight change and OA risk. CONCLUSIONS: The study suggests that weight patterns across adulthood are associated with the risk of OA. These findings stressed important to maintain a normal weight throughout adulthood, especially to prevent ignored weight gain in early adulthood to reduce OA risk later.