Significant Predictor Of Weight Research Articles

Diabetes Mellitus Predicts Weight Gain After Surgery in Patients With Acromegaly.

ObjectiveMetabolic complications are common in patients with acromegaly. However, this occasionally does not improve post-surgery and may be related to postoperative weight gain. We aimed to investigate the postoperative weight change and factors associated with postoperative weight gain in patients with acromegaly.Design and MethodsOverall, 113 consecutive patients with body weight records pre- and 3–6 months post-surgery between October 2009 and March 2021 were enrolled. Patients were divided into three groups: weight loss (weight decrease ≥3%), stable, and weight gain (weight increase ≥3%). Hormone status, metabolic comorbidities, and anthropometric parameters were compared between the groups.ResultsAmong 113 patients, 29 (25.7%) and 26 (23.0%) patients lost and gained weight, respectively, post-surgery. There were no significant differences in baseline characteristics, including age at diagnosis, sex, body mass index, and growth hormone levels among the three groups. The prevalence of diabetes mellitus at diagnosis was significantly higher in the weight gain group than in the other groups. Patients with diabetes (n=22) had a 5.2-fold higher risk of postoperative weight gain than those with normal glucose tolerance (n=37) (P=0.006). In the diabetes mellitus group, the percentage lean mass decreased (-4.5 [-6.6–2.0]%, P=0.002), and the percentage fat mass significantly increased post-surgery (18.0 [4.6–36.6]%, P=0.003), whereas the normal glucose tolerance group did not show body composition changes post-surgery.ConclusionIn patients with acromegaly, 23% experienced ≥3% weight gain post-surgery. Diabetes mellitus at diagnosis is a significant predictor of weight and fat gain post-surgery.

Postpartum Weight Retention: A Retrospective Data Analysis Measuring Weight Loss and Program Engagement with a Mobile Health Program.

Background: Mobile health (mHealth) technology can circumvent barriers to participation in weight loss programs faced by new mothers. The objective of this study was to assess weight change and program engagement in postpartum women (n = 130) participating in a 24-week behavior change mHealth weight-loss intervention. Materials and Methods: Participants were recruited through a program offered on a commercial mHealth application that provided evidence-based lifestyle interventions. To meet inclusion criteria, women had to be 18-45 years of age, and given birth within 2 years before the start of the study. Participants signed up for the Noom Healthy Weight program between January and March of 2019 and were offered the program free of charge. Linear mixed models were conducted; the primary outcome was weight change from baseline at 16 and 24 weeks. Secondary outcomes were program engagement and their relationship with completion status. Results: Results showed that time was a significant predictor of weight at week 16 [t(-3.94) = -9.40; p < 0.001] and week 24 [t(-4.08) = -9.74; p < 0.001]; users lost 3.94 kgs at week 16 and 4.08 kgs at week 24, compared with baseline. In addition, body mass index significantly decreased at week 24 [t(112) = 7.33, p < 0.0001] with the majority of participants (80%) experiencing reductions by more than 2 units. On average, subjects who completed the program (completers) lost more weight compared with those who did not complete the program [t(-5.09) = -2.94; p = 0.004], losing 5.09 kgs (95% CI -8.48 to -1.69) throughout the 24 weeks. Conclusion: This cohort study shows that a uniquely mobile, behavior change intervention for weight management is effective at producing significant weight loss with potential to address postpartum weight retention.

Relationship Between Age and Weight Loss in Noom: Quasi-Experimental Study.

BackgroundThe prevalence of obesity and diabetes among middle-aged and older adults is on the rise, and with an increase in the world population of adults aged 60 years and older, the demand for health interventions across age groups is growing. Noom is an mHealth behavior change lifestyle intervention that provides users with tracking features for food and exercise logging and weighing-in as well as access to a virtual 1:1 behavior change coach, support group, and daily curriculum that includes diet-, exercise-, and psychology-based content. Limited research has observed the effect of age on a mobile health (mHealth) lifestyle intervention. ObjectiveThe goal of the research was to analyze engagement of middle-aged and older adults using a mobile lifestyle or diabetes prevention intervention.MethodsA total of 14,767 adults (aged 35 to 85 years) received one of two curricula via an mHealth intervention in a quasi-experimental study: the Healthy Weight program (HW) by Noom (84%) or the Noom-developed Diabetes Prevention Program (DPP), recognized by the US Centers for Disease Control and Prevention (CDC). The main outcome measure was weight over time, observed at baseline and weeks 16 and 52.ResultsLinear mixed modeling found age to be a significant predictor of weight at week 16 (F2,1398.4=9.20; P<.001; baseline vs week 16: β=–.12, 95% CI –0.18 to –0.07), suggesting that as age increases by 1 year, weight decreased by 0.12 kg. An interaction between engagement and age was also found at week 52 (F1,14680.51=6.70; P=.01) such that engagement was more strongly associated with weight for younger versus older adults (age × engagement: β=.02, 95% CI 0.01 to 0.04). HW users lost 6.24 (SD 6.73) kg or 5.2% of their body weight and DPP users lost 5.66 (SD 7.16) kg or 8.1% of their body weight at week 52, meeting the CDC standards for weight loss effects on health.ConclusionsAge and engagement are significant predictors of weight. Older adults lost more weight using an mHealth evidence-based lifestyle intervention compared with younger adults, despite their engagement. These preliminary findings suggest further clinical implications for adapting the program to older adults’ needs.

Trends in height, weight, BMI, skinfolds, and measures of overweight and obesity from 1979 through 1999 among American Indian Youth: The Akwesasne Mohawk.

Information on recent changes in overweight, obesity, and adiposity among American Indians is scarce. To assess changes in size and adiposity among American Indian youth, data from two samples of Akwesasne Mohawk youth, were compared. Both project 1, conducted in 1979 (n = 75) and Project 2, conducted between 1996 and 1999 (n = 206), sampled youth 10-14 years of age from the Akwesasne Mohawk Reservation (aka St. Regis) that borders New York state, and Ontario and Quebec provinces. Heights, weights, and skinfold thicknesses were converted to z-scores using CDC reference values. BMI status was calculated in terms of WHO age-specific cutoffs and CDC cutoffs. z-Scores for heights differed little between projects. The between-project difference in weight z-score is twice the between-project z-score difference for height. Differences among males are larger and more often significant. Triceps and subscapular skinfold thickness are significantly greater in Project 2. The rate of overweight and obesity combined, increased 3.3-fold. In multiple regression analyses with sex, height, and age in the model, project is a significant predictor of weight and skinfolds. Weight and adiposity have increased substantially from 1979 to 1996-99. Overweight and obesity became significantly more common. Given the increase in adiposity, these youth may be facing significant health risks as adults in terms of cardiovascular disease, cancer, and type II diabetes unless weight and adiposity is reduced.

Abstract MP003: Development and Validation of a Prediction Model of Weight Loss Maintenance or Regain at 4 Years in the Look AHEAD Trial

Introduction: The development of type 2 diabetes is strongly associated with excess weight gain and can often be partially ameliorated or reversed by weight loss. While many lifestyle interventions have resulted in successful weight loss, strategies to maintain the weight loss have been considerably less successful. Prior studies have identified multiple predictors of weight regain, but none have synthesized them into one analytic stream. Methods: We developed a prediction model of 4-year weight regain after a one-year lifestyle-induced weight loss intervention followed by a 3 year maintenance intervention in 1791 overweight or obese adults with type 2 diabetes from the Action for Health in Diabetes (Look AHEAD) trial who lost ≥3% of initial weight by the end of year 1. Weight regain was defined as regaining &lt;50% of the weight lost during the intervention by year 4. Using machine learning we integrated factors from several domains, including demographics, psychosocial metrics, health status and behaviors (e.g. physical activity, self-monitoring, medication use and intervention adherence). We used classification trees and stochastic gradient boosting with 10-fold cross validation to develop and internally validate the prediction model. Results: At the end of four years, 928 individuals maintained ≥50% of their initial weight lost (maintainers), whereas 863 did not met that criterion (regainers). We identified an interaction between age and several variables in the model, as well as percent initial weight loss. Several factors were significant predictors of weight regain based on variable importance plots, regardless of age or initial weight loss, such as insurance status, physical function score, baseline BMI, meal replacement use and minutes of exercise recorded during year 1. We also identified several factors that were significant predictors depending on age group (45-55y/ 56-65y/66-76y) and initial weight loss (lost 3-9% vs. ≥10% of initial weight). When the variables identified from machine learning were added to a logistic regression model stratified by age and initial weight loss groups, the models showed good prediction (3-9% initial weight loss, ages 45-55y (n=293): ROC AUC=0.78; ≥10% initial weight loss, ages 45-55y (n=242): ROC AUC=0.78; (3-9% initial weight loss, ages 56-65y (n=484): ROC AUC=0.70; ≥10% initial weight loss, ages 56-65y (n=455): ROC AUC = 0.74; 3-9% initial weight loss, ages 66-76y (n=150): ROC AUC=0.84; ≥10% initial weight loss, ages 66-76y (n=167): ROC AUC=0.86). Conclusion: The combination of machine learning methodology and logistic regression generates a prediction model that can consider numerous factors simultaneously, can be used to predict weight regain in other populations and can assist in the development of better strategies to prevent post-loss regain.

Changes in Energy Metabolism after Continuous Positive Airway Pressure for Obstructive Sleep Apnea

Disrupted energy homeostasis in obstructive sleep apnea (OSA) may lead to weight gain. Paradoxically, treating OSA with continuous positive airway pressure (CPAP) may also promote weight gain, although the underlying mechanism remains unclear. To explore the underlying mechanism by which patients with OSA gain weight after CPAP. A comprehensive assessment of energy metabolism was performed in 63 newly diagnosed OSA study participants (51 men; 60.8 ± 10.1 yr; apnea-hypopnea index >20 h(-1)) at baseline, CPAP initiation, and at a 3-month follow-up. Measurements included polysomnography, body weight, body composition, basal metabolic rate (BMR), hormones (norepinephrine, cortisol, leptin, ghrelin, insulin-like growth factor-1), dietary intake, eating behavior, and physical activity. BMR significantly decreased after CPAP (1,584 kcal/d at baseline, 1,561 kcal/d at CPAP initiation, and 1,508 kcal/d at follow-up; P < 0.001), whereas physical activity and total caloric intake did not significantly change. In multivariate regression, baseline apnea-hypopnea index, Δurine norepinephrine, and CPAP adherence were significant predictors of ΔBMR. The weight gainers had higher leptin levels, lower ghrelin levels, and higher eating behavior scores than the non-weight gainers, indicating a positive energy balance and disordered eating behavior among the weight gainers. Among the parameters related to energy metabolism, increased caloric intake was a particularly significant predictor of weight gain. Although a reduction in BMR after CPAP predisposes to a positive energy balance, dietary intake and eating behavior had greater impacts on weight change. These findings highlight the importance of lifestyle modifications combined with CPAP. Clinical trial registered with http://www.umin.ac.jp/english/ (UMIN000012639).

Oral health and changes in weight and waist circumference among community-dwelling older adults in Brazil

The authors conducted a study to evaluate the association between changes in weight and waist circumference (WC) and oral health status among older adults in Brazil. The study sample consisted of community-dwelling people representing the population 60 years and older in the city of São Paulo who were enrolled in the Health, Well-being and Aging cohort study. Changes in weight and WC were classified as stable (within 5 percent of the second-wave weight and WC), loss (5 percent or more decrease since the second wave) and gain (5 percent or more increase since the second wave). The following baseline characteristics were the independent variables: sociodemographic variables (age, sex and education), general health data (number of self-reported chronic diseases, physical activity, weight, WC and smoking status) and oral health (edentulism, need for dental prostheses). The incidence of weight (33.2 percent) and WC (35.3 percent) gain was higher than that of loss (13.5 percent and 10.6 percent, respectively). Neither weight nor WC gains were associated with dental status. The risk of weight and WC loss was higher among edentulous participants than among dentate participants. The results of this study show that edentulism status was a significant predictor of weight and WC loss, independent of socioeconomic and general health status. Edentulism has a significant impact on weight and WC, which highlights the importance of an integrated approach to health care among health care professionals.

Feasibility of a protein-enriched diet after laparoscopic adjustable gastric banding: Results from a pilot intervention

Summary Background & aims Weight loss following laparoscopic adjustable gastric banding (LAGB) is variable. Increased protein intakes may promote optimal weight and body composition outcomes during weight loss. This study aimed to determine the feasibility of a protein-enriched diet after LAGB and to report pilot data findings. Methods LAGB patients ( n = 47) were allocated to follow a protein-enriched diet or usual care for six months after surgery. Weight, body composition and dietary intake were measured at baseline, three, six and 12 months. Results Compliance with the protein-enriched diet was problematic. No differences in protein intake, weight or body composition were observed between the intervention and usual care groups. Relative protein intake for the study sample as a whole was not a significant predictor of weight or body composition at any time point. Conclusions Feasibility of increasing protein intake from usual foods and a dietary supplement following LAGB was limited by compliance difficulties. This may negate any potential utility of a protein-enriched diet after LAGB. Further research is required to establish evidence-based guidelines for protein intake following LAGB and to determine methods to enhance compliance with dietary recommendations. Clinical trial registration number: ACTRN 12609000258257.

Biometrics and seasonal changes in weight and fat deposition of Cetti's Warblers Cettia cetti in Central Greece

The aim of this study was to describe the biometrics and, in particular, changes in weight and fat deposition in the Cetti's Warbler Cettia cetti, based on ringing studies in the Schinias wetland near Athens, Greece. The data suggest that females carry more fat than males during the breeding season. Wing and tarsus measurements, as well as time of capture, were significant predictors of weight, but fat score was not.

Determinants of early ponderal and statural growth in full-term infants in the EDEN mother-child cohort study

Growth velocity in the first months of postnatal life has been associated with later overweight and obesity. We analyzed prenatal and postnatal factors in association with weight, length, and growth velocities in the first 3 mo of life. We estimated weight, length, and instantaneous weight- and length-growth velocities (in g/d and mm/d) in 1418 term infants at 1 and 3 mo of age and evaluated the following potential determinants: maternal prepregnancy body mass index (BMI), 1-h plasma glucose concentrations during pregnancy, smoking, socioeconomic status, parity, paternal BMI, parental heights, and infant feeding, gestational age, and sex. Maternal obesity and plasma glucose concentrations were associated with the weights and lengths of offspring at birth but not at 1 and 3 mo after birth. In contrast, there was no association between paternal BMI and anthropometric measures of offspring at birth, but by 3 mo of age infants of obese fathers had significantly higher weights and weight-growth velocities than did infants of fathers with a normal BMI. Maternal weight gain was a significant predictor of weight at birth and 3 mo of age. Exclusively breastfed infants had a slower weight-growth velocity as early as 1 mo of age compared with exclusively formula-fed infants. In the first 3 mo of life, the positive associations between maternal obesity, plasma glucose concentrations, and infant anthropometric measures at birth seem to progressively fade away, whereas the emerging association with paternal BMI may indicate an early postnatal influence of paternal genetics. Among the determinants we evaluated, some are potentially modifiable, such as maternal gestational weight gain and infant feeding. The identification of optimal patterns of growth remains crucial before providing any clinical recommendations.

Alteration of Dietary Fat Intake to Prevent Weight Gain: Jayhawk Observed Eating Trial

To examine the effects of ad libitum diets with three distinct levels of fat intake for the prevention of weight gain in sedentary, normal-weight and overweight men and women. Three hundred and five participants were randomized to one of three diets. The diets targeted <25% of energy from fat (low fat (LF)), between 28 and 32% of energy from fat (moderate fat (MF)), or >35% of energy from fat (high fat (HF)). Participants consumed two meals per day on weekdays and one meal per day on weekends in a university cafeteria over a 12-week period. Energy and nutrient content of cafeteria foods were measured by digital photography. All meals and snacks consumed outside the cafeteria were measured by dietary recall. All analysis of energy and nutrient content was completed using Nutrition Data System for Research (NDS-R) version 2005. Two hundred and sixty participants completed the study. LF gained 0.1 +/- 3.1 kg, MF gained 0.8 +/- 2.5 kg, and HF gained 1.0 +/- 2.2 kg and there was no gender or age effect. Longitudinal mixed modeling indicated a significant difference among the groups in weight over time (P = 0.0366). When adjusting for total energy intake, which was a significant predictor of weight over time, the global effect for the group was eliminated. Thus, increasing weight was a function of increasing energy but not increasing percentage of fat intake. Energy intake, but not percentage of energy from fat, appears responsible for the observed weight gain. LF diets may contribute to weight maintenance and HF diets may promote weight gain due to the influence of fat intake on total energy intake.

Supplemental nocturnal nasogastric refeeding for better short-term outcome in hospitalized adolescent girls with anorexia nervosa.

Although controversy exists regarding nasogastric refeeding for patients with anorexia nervosa, current methods of inpatient care often result in low discharge weight, a critical risk factor in relapse. This study compared the short-term outcomes of standard oral refeeding and supplemental nocturnal nasogastric refeeding. Subjects were 100 hospitalized Caucasian adolescent girls who met DSM-IV criteria for anorexia nervosa. Subjects were partitioned into two groups: oral refeeding (N=48, mean age=15.0 years, SD=1.8) and nocturnal nasogastric refeeding (N=52, mean age=14.8 years, SD=1.9). Unpaired t tests, with Bonferroni correction, were used to compare groups at hospital admission and at discharge. Multivariate linear regression was used to establish the independent effects of nocturnal nasogastric refeeding after adjustment for potential confounding variables. On admission, the groups were comparable in terms of age, weight, and other factors but differed significantly in number of prior hospitalizations (the nocturnal nasogastric refeeding group had more than the oral refeeding group). A series of separate multivariate linear regression models revealed that nocturnal nasogastric refeeding was a significant predictor of weight at discharge and absolute weight gain. Over a comparable period of time, patients treated with nocturnal nasogastric refeeding had a greater and more rapid weight gain than patients treated with traditional oral refeeding. Supplemental nocturnal nasogastric refeeding was more effective than oral refeeding alone in weight restoration during hospitalization. However, further study is needed on its short-term and long-term effectiveness.

Breast-feeding and weight change in newborns in Jamaica.

This study was conducted to examine weight change of exclusively breast-fed infants during the first week and through the first 24 days of life, and to evaluate the effect of breast-feeding factors and maternal characteristics on early weight change in the infants. The weights of 21 infants were recorded on day 1 (day of birth), and on days 3, 7, 10, 17, and 24, and the data analysed to evaluate weight change over the period. Multiple regression analysis was used to assess whether birth weight as well as maternal and breast-feeding factors were significant predictors of weight on day 24. Nineteen of the 21 infants gained weight between days 1 and 3, and 20 infants gained weight between days 3 and 7. All infants gained weight over the 24-day period and their weights at day 7 and day 24 were significantly different (P < 0.05 and P < 0.01, respectively) from their birth weights. Multiple linear regression analysis showed that significant (P < 0.01) predictors of weight gain by day 24 included birth weight, mother's educational level, whether the baby cried before feeding, and length of feeding time periods. This is the first study of weight change in the early days and weeks of life of exclusively breast-fed newborn infants in Jamaica. The infants showed significant weight gain during the study period and weight gain was affected by certain maternal and breast-feeding factors.

Determinants of weight and adiposity in the first year of life

To overcome methodologic defects (failure to control for confounding factors, univariate statistical analyses) in previous studies of etiologic determinants of childhood adiposity, we carried out a prospective cohort study of 462 healthy, full-term infants observed from birth to 12 months. Postpartum, we obtained sociodemographic data and administered two recently validated scales of maternal attitudes toward feeding and infant body habitus. Parental heights and weights and infant feeding variables were determined by interview, and at 6 and 12 months we measured height and weight and triceps, subscapular, and suprailiac skinfolds. Multiple regression analysis was used to determine independently predictive factors for weight, body mass index (BMI = weight/height), and the sum of the three skinfold measurements. Birth weight, sex, age at introduction of solid, and duration of breast-feeding were all significant predictors of weight at 12 months (r2 = 0.296, P less than 0.0001). Significant determinants for BMI included birth weight, duration of breast-feeding, sex, and IBH (r2 = 0.125, P less than 0.0001); those for total skinfold were age at introduction of solid foods and birth weight (r2 = 0.038, P = 0.002). Similar results were obtained at 6 months, although slightly less of the variance was explained. We conclude that the ability to predict which babies will be heavy or obese during the first year is limited. Breast-feeding and delayed introduction of solid foods do offer some protective effect, however, and thus efforts to encourage these practices may be reaping some benefit.