Subsequent Changes In Body Weight Research Articles

Gut hormones and appetite regulation.

Various gut hormones interact with the brain through delicate communication, thereby influencing appetite and subsequent changes in body weight. This review summarizes the effects of gut hormones on appetite, with a focus on recent research. Ghrelin is known as an orexigenic hormone, whereas glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), cholecystokinin (CCK), postprandial peptide YY (PYY), and oxyntomodulin (OXM) are known as anorexigenic hormones. Recent human studies have revealed that gut hormones act differently in various systems, including adipose tissue, beyond appetite and energy intake, and even involve in high-order thinking. Environmental factors including meal schedule, food contents and quality, type of exercise, and sleep deprivation also play a role in the influence of gut hormone on appetite, weight change, and obesity. Recently published studies have shown that retatrutide, a triple-agonist of GLP-1, GIP, and glucagon receptor, and orforglipron, a GLP-1 receptor partial agonist, are effective in weight loss and improving various metabolic parameters associated with obesity. Various gut hormones influence appetite, and several drugs targeting these receptors have been reported to exert positive effects on weight loss in humans. Given that diverse dietary and environmental factors affect the actions of gut hormones and appetite, there is a need for integrated and largescale long-term studies in this field.

Consistent sleep onset and maintenance of body weight after weight loss: An analysis of data from the NoHoW trial.

BackgroundSeveral studies have suggested that reduced sleep duration and quality are associated with an increased risk of obesity and related metabolic disorders, but the role of sleep in long-term weight loss maintenance (WLM) has not been thoroughly explored using prospective data.Methods and findingsThe present study is an ancillary study based on data collected on participants from the Navigating to a Healthy Weight (NoHoW) trial, for which the aim was to test the efficacy of an evidence-based digital toolkit, targeting self-regulation, motivation, and emotion regulation, on WLM among 1,627 British, Danish, and Portuguese adults. Before enrolment, participants had achieved a weight loss of ≥5% and had a BMI of ≥25 kg/m2 prior to losing weight. Participants were enrolled between March 2017 and March 2018 and followed during the subsequent 12-month period for change in weight (primary trial outcome), body composition, metabolic markers, diet, physical activity, sleep, and psychological mediators/moderators of WLM (secondary trial outcomes). For the present study, a total of 967 NoHoW participants were included, of which 69.6% were women, the mean age was 45.8 years (SD 11.5), the mean baseline BMI was 29.5 kg/m2 (SD 5.1), and the mean weight loss prior to baseline assessments was 11.4 kg (SD 6.4). Objectively measured sleep was collected using the Fitbit Charge 2 (FC2), from which sleep duration, sleep duration variability, sleep onset, and sleep onset variability were assessed across 14 days close to baseline examinations. The primary outcomes were 12-month changes in body weight (BW) and body fat percentage (BF%). The secondary outcomes were 12-month changes in obesity-related metabolic markers (blood pressure, low- and high-density lipoproteins [LDL and HDL], triglycerides [TGs], and glycated haemoglobin [HbA1c]). Analysis of covariance and multivariate linear regressions were conducted with sleep-related variables as explanatory and subsequent changes in BW, BF%, and metabolic markers as response variables. We found no evidence that sleep duration, sleep duration variability, or sleep onset were associated with 12-month weight regain or change in BF%. A higher between-day variability in sleep onset, assessed using the standard deviation across all nights recorded, was associated with weight regain (0.55 kg per hour [95% CI 0.10 to 0.99]; P = 0.016) and an increase in BF% (0.41% per hour [95% CI 0.04 to 0.78]; P = 0.031). Analyses of the secondary outcomes showed that a higher between-day variability in sleep duration was associated with an increase in HbA1c (0.02% per hour [95% CI 0.00 to 0.05]; P = 0.045). Participants with a sleep onset between 19:00 and 22:00 had the greatest reduction in diastolic blood pressure (DBP) (P = 0.02) but also the most pronounced increase in TGs (P = 0.03). The main limitation of this study is the observational design. Hence, the observed associations do not necessarily reflect causal effects.ConclusionOur results suggest that maintaining a consistent sleep onset is associated with improved WLM and body composition. Sleep onset and variability in sleep duration may be associated with subsequent change in different obesity-related metabolic markers, but due to multiple-testing, the secondary exploratory outcomes should be interpreted cautiously.Trial registrationThe trial was registered with the ISRCTN registry (ISRCTN88405328).

Child behaviour and subsequent changes in body weight, composition and shape.

ObjectiveStudies have found an association between child behavioural problems and overweight, but the existing evidence for this relationship is inconsistent, and results from longitudinal studies are sparse. Thus, we examined the association between behavioural problems and subsequent changes in body mass index (BMI) and anthropometry over a follow-up period of 1.3 years among children aged 2–6 years.DesignThe study was based on a total of 345 children from The Healthy Start Study; all children were healthy weight but predisposed to develop overweight. The Danish version of the Strengths and Difficulties Questionnaire (SDQ), classified as SDQ Total Difficulties (SDQ-TD) and SDQ Prosocial Behaviour (SDQ-PSB), was used to assess child behaviour. Linear regression analyses were used to examine associations between SDQ scores and subsequent change in BMI z-score, body fat percentage, waist circumference and waist-hip ratio, while taking possible confounding factors into account.ResultsWe found an association between SDQ-PSB and subsequent change in BMI z-score (β: 0.040 [95% CI: 0.010; 0.071, p = 0.009]). However, there was no evidence of an association between SDQ-PSB and measures of body composition or body shape.ConclusionsAmong 2 to 6 years old children predisposed to overweight, the association between SDQ-scores and weight gain is either absent or marginal. The SDQ-PSB score may be associated with subsequent increases in BMI z-score, but this association does not seem driven by an increased relative fat accumulation.

Incident Type 2 Diabetes in OSA and Effect of CPAP Treatment: A Retrospective Clinic Cohort Study

The relationship between OSA and glucose metabolism remains controversial. This retrospective study investigated the relationship between OSA and incident type 2 diabetes (T2D) in a clinic cohort of Chinese adults in Hong Kong, and the effect of long-term CPAP treatment. Data for diagnosis of incident T2D and CPAP usage were obtained from the territory-wide electronic health administration system and records of protocolized evaluation of CPAP adherence at the sleep clinic. The relationship between baseline OSA and incident T2D and the effect of CPAP therapy were examined by Cox regression models. Risk of incident T2D over the continuum of apnea-hypopnea index was examined with cubic spline analysis. Of 1,206 subjects with overnight sleep studies and clinical assessment in 2006 through 2013, 152 developed diabetes (median follow-up, 7.3 years). In fully adjusted models, untreated moderate or patients with severe OSA had higher risk of developing diabetes, hazard ratios 2.01 (95%CI, 1.06-3.81) and 2.62 (95%CI, 1.40-4.93) respectively, with a trend to plateau in those with severe OSA. No interaction was demonstrated between OSA and obesity. Regular CPAP use, which was attained in about one-third of subjects with moderate-severe OSA, was associated with reduction of diabetes incidence from 3.41 to 1.61 per 100 person-years, and of adjusted hazard risk to that of non-OSA. OSA severity independently predicted incident diabetes. Regular long-term CPAP use was associated with reduced risk of incident T2D, after adjustment for various baseline metabolic risk factors and subsequent body weight change.

Abstract 11438: Thyroid Hormones and Changes in Body Weight and Metabolic Parameters in Response to Weight-Loss Diets: The POUNDS LOST Trial

Context: The role of thyroid hormones in diet-induced weight loss and subsequent weight regain is largely unknown. Objective: To examine the relationship between baseline thyroid hormones and subsequent changes in body weight and resting metabolic rate (RMR) in a diet-induced weight-loss setting. Methods: In the 2-year POUNDS LOST randomized clinical trial that tested 4 weight-loss diets, thyroid hormones (free triiodothyronine [T3], free thyroxine [T4], total T3, total T4, and thyroid stimulating hormone [TSH]), and resting metabolic rate (RMR), as well as anthropometric and biochemical parameters, were determined at baseline, 6 months, and 2 years among 569 overweight and obese participants aged 30-70 years with normal thyroid function. Results: Participants lost an average of 6.6 kg of body weight during the first 6 months and subsequently regained an average of 2.7 kg of body weight over the remaining period from 6-24 months. Baseline free T3 and total T3 levels were positively associated with baseline body mass index and RMR, whereas free T4, total T4, and TSH did not demonstrate a clear pattern of correlations with these parameters. After multivariate adjustment including dietary intervention groups and baseline body weight, higher baseline free T3 and free T4 levels were significantly associated with a greater decrease in body weight in the first 6 months. Comparing extreme tertiles, the weight loss was -5.39±0.9 vs -3.87±0.9 for free T3 (P trend=0.02) and -5.88±0.9 vs -4.09±0.9 for free T4 (P trend=0.004). The thyroid hormones did not predict weight regain between 6 and 24 months. The associations were attenuated after further adjusting for changes in RMR. Conclusion: In this diet-induced weight-loss setting, higher baseline free T3 and free T4 predict more weight loss, but not weight regain among overweight and obese adults with normal thyroid function. In addition, changes in RMR may partially mediate the observed associations. These findings reveal a novel role of thyroid hormones in body weight regulations and may help identify individuals more responsive to weight-loss diets.

Mediterranean and Nordic diet scores and long-term changes in body weight and waist circumference: results from a large cohort study.

Dietary patterns, which represent a broader picture of food and nutrient consumption, have gained increasing interest over the last decades. In a cohort design, we followed 27 544 women aged 29-49 years from baseline in 1991-1992. We collected data from an FFQ at baseline and body weight (BW) and waist circumference (WC) data both at baseline and at follow-up in 2003. We calculated the Mediterranean diet score (MDS, ranging from 0 to 9) and the Nordic diet score (NDS, ranging from 0 to 6). We used linear regression to examine the association between MDS and NDS (exposures) with subsequent BW change (ΔBW) and WC change (ΔWC) (outcomes) both continuously and categorically. Higher adherence to the MDS or NDS was not associated with ΔBW. The multivariable population average increment in BW was 0·03 kg (95 % CI -0·03, 0·09) per 1-point increase in MDS and 0·04 kg (95 % CI -0·02, 0·10) per 1-point increase in NDS. In addition, higher adherence to the MDS was not associated with ΔWC, with the multivariable population average increment per 1-point increase in MDS being 0·05 cm (95 % CI -0·03, 0·13). Higher adherence to the NDS was not significantly associated with gain in WC when adjusted for concurrent ΔBW. In conclusion, a higher adherence to the MDS or NDS was not associated with changes in average BW or WC in the present cohort followed for 12 years.

Lower-limb amputation and body weight changes in men.

Little is known about the relationship between lower-limb amputation (LLA) and subsequent changes in body weight. We conducted a retrospective cohort study using clinical and administrative databases to identify and follow weight changes in 759 males with amputation (partial foot amputation [PFA], n = 396; transtibial amputation [TTA], n = 267; and transfemoral amputation [TFA], n = 96) and 3,790 nondisabled persons frequency-matched (5:1) on age, body mass index, diabetes, and calendar year from eight Department of Veterans Affairs medical care facilities in the Pacific Northwest. We estimated and compared longitudinal percent weight change from baseline during up to 39 mo of follow-up in participants with and without amputation. Weight gain in the 2 yr after amputation was significantly more in men with an amputation than without, and in men with a TTA or TFA (8%-9% increase) than in men with a PFA (3%-6% increase). Generally, percent weight gain peaked at 2 yr and was followed by some weight loss in the third year. These findings indicate that LLA is often followed by clinically important weight gain. Future studies are needed to better understand the reasons for weight gain and to identify intervention strategies to prevent excess weight gain and the deleterious consequences that may ensue.

Interactions of dietary protein and adiposity measures in relation to subsequent changes in body weight and waist circumference.

To investigate if dietary protein and degree of adiposity interacts in relation to change in body weight and waist circumference (WC) in the general population. In total 22,433 middle-aged individuals with dietary assessment at baseline and anthropometry at baseline and at follow-up about 5 years later were analyzed with multiple linear regression and dietary macronutrient substitution models. Interactions between dietary protein and baseline body mass index (BMI) and baseline WC adjusted for BMI (WCBMI ) (divided in tertiles; nine groups total), were analyzed in relation to changes in body weight (BW) and changes WC adjusted for change in BW. Baseline intake of protein was not significantly associated with changes in weight or waist circumference. Across the nine groups of baseline BMI and WCBMI there were no distinct trends in the associations between dietary protein, whether replacing carbohydrate or fat, and weight change. However, individuals in the highest tertile of baseline BMI (irrespective of baseline WCBMI ) had significantly inverse change in waist circumference when protein replaced carbohydrate, but not when protein replaced fat. Replacing carbohydrate with protein in the diet may prevent a relative increase in WC in individuals with a greater BMI.

24h Urinary Sodium Excretion and Subsequent Change in Weight, Waist Circumference and Body Composition

BackgroundIn the same period as the increasing obesity epidemic, there has been an increased consumption of highly processed foods with a high salt content, and a few studies have suggested that a diet with a high salt content may be associated with obesity.ObjectiveTo investigate the association between 24 h urinary sodium excretion and subsequent change in body weight (BW), waist circumference (WC), body fat (BF) and fat free mass (FFM) among adults.DesignA longitudinal population study based on the Danish part of the MONICA project, with examinations in 1987–1988 and 1993–1994. Complete information on 24 h urinary sodium excretion along with repeated measures of obesity, as well as on potential confounders, was obtained from 215 subjects. Linear regression was used to examine the association between sodium excretion, as a measure of salt consumption, and subsequent changes in BW, WC, BF and FFM, and further evaluated by restricted cubic splines. Stepwise adjustments were made for selected covariates.ResultsNeither the crude nor the adjusted models showed any statistically significant associations between sodium excretion and change in BW or WC. Likewise, we found no significant association between sodium excretion and change in BF and FFM in the unadjusted models. However, after adjusting for potential baseline confounders and the concurrent BW change, we found a significant increase in BF of 0.24 kg (P = 0.015, CI: 0.05 to 0.43) per 100 mmol increase in 24 h urinary sodium excretion (equivalent to 6 g of salt), during the 6-year study period. Moreover, during the same period, we found a significant association with FFM of −0.21 kg (P = 0.041, CI: −0.40 to −0.01).ConclusionsThese results suggest that a diet with a high salt content may have a negative influence on development in body composition by expanding BF and reducing FFM.

20歳代男性のBMIならびにその後の体重変化が40歳代における高血圧・糖尿病有病率および医療費に及ぼす影響

To investigate the impact of body mass index (BMI) of men in their 20s and the effects of subsequent changes in body weight upon medication rates, prevalence of hypertension and diabetes, and medical costs in their 40s. A total of 10,125 men who were in their 20s in 1989 were recruited as subjects and grouped according to their BMI and a combination of BMI and increase in body weight over a 20-year period. A logistic regression analysis was performed to evaluate subsequent medication rates, prevalence of hypertension and diabetes, and consultation rate. Analysis of covariance was performed for mean medical costs on the basis of the BMI value in their 20s. All data were adjusted for age in 1989 and changes in body weight over the subsequent 20 yr. A mean increase of 7 kg in body weight was observed over the 20-year period. Medication rates and prevalence of hypertension and diabetes in the men in their 40s increased significantly in correlation with the BMI values in their 20s (men with higher BMI showed higher medication and symptom prevalence rates). The 25.0 or higher BMI group showed a 6.81-fold higher prevalence of hypertension and a 16.62-fold higher prevalence of diabetes than the 18.5-19.9 BMI group. Similarly, men with higher BMI values in their 20s incurred greater outpatient and total medical costs in their 40s. The mean total medical costs in 2009 of men in the 18.5 or lower BMI group in their 20s was 818.7 yen and that for men in the 25.0 or higher BMI group was 5,311.5 yen. Furthermore, men in their 40s showed increased risk of hypertension and diabetes, if their body weight increased by 10 kg or more in the subsequent 20 yr, even when they had BMI values between 20.0 and 24.9 in their 20s. Men with high BMI values in their 20s showed higher prevalence of hypertension and diabetes and incurred greater medical costs in their 40s. Even men with a BMI of less than 25.0 in their 20s, showed increases in the prevalence of hypertension and diabetes which were dependent on their weight gain in the subsequent years. Healthcare activities in Japanese corporations based on lifetime employment should promote anti-obesity strategies among young employees and help not only those employees who are obese but also those who are not controlling their weight.

The Relationship Between Body Weight, Body Condition, and Survival in Cats with Heart Failure

Obese people with heart failure have improved survival compared with their normal or underweight counterparts. The purpose of this study was to determine if there is a relationship between body weight or body condition and survival in cats with heart failure. Body weight and body condition score (BCS) are predictors of survival in cats with heart failure. One-hundred and one cats with heart failure (International Small Animal Cardiac Health Council Classes II, IIIa, or IIIb) evaluated between March 2007 and June 2009. Data regarding initial body weight and BCS, subsequent changes in body weight, and treatment were collected from records and compared with survival times. Median initial body weight was 5.1 kg (range, 2.2-9.5 kg). Median BCS was 5 (range, 3-9). Of the 68 cats that were discharged from the hospital, median body weight change was 0.0 kg (range, -2.6 to +2.3 kg). Survival time for all 101 cats was 93 days (0-811 days). Survival could be predicted using a model combining initial body weight (P=.02), body weight squared (P=.02), and survival to discharge (P<.001) with a resulting global P value for this model of P<.0001. Cats with the lowest and highest body weights had reduced survival times compared with those with body weights in the intermediate ranges, suggesting a U-shaped relationship between body weight and survival. Additional research into the effects of body composition could help to determine optimal management of cats with heart failure.

Dietary fiber and subsequent changes in body weight and waist circumference in European men and women

Dietary fiber may play a role in obesity prevention. Until now, the role that fiber from different sources plays in weight change had rarely been studied. Our aim was to investigate the association of total dietary fiber, cereal fiber, and fruit and vegetable fiber with changes in weight and waist circumference. We conducted a prospective cohort study with 89,432 European participants, aged 20-78 y, who were free of cancer, cardiovascular disease, and diabetes at baseline and who were followed for an average of 6.5 y. Dietary information was collected by using validated country-specific food-frequency questionnaires. Multiple linear regression analysis was performed in each center studied, and estimates were combined by using random-effects meta-analyses. Adjustments were made for follow-up duration, other dietary variables, and baseline anthropometric, demographic, and lifestyle factors. Total fiber was inversely associated with subsequent weight and waist circumference change. For a 10-g/d higher total fiber intake, the pooled estimate was -39 g/y (95% CI: -71, -7 g/y) for weight change and -0.08 cm/y (95% CI: -0.11, -0.05 cm/y) for waist circumference change. A 10-g/d higher fiber intake from cereals was associated with -77 g/y (95% CI: -127, -26 g/y) weight change and -0.10 cm/y (95% CI: -0.18, -0.02 cm/y) waist circumference change. Fruit and vegetable fiber was not associated with weight change but had a similar association with waist circumference change when compared with intake of total dietary fiber and cereal fiber. Our finding may support a beneficial role of higher intake of dietary fiber, especially cereal fiber, in prevention of body-weight and waist circumference gain.

Fruit and vegetable intakes and subsequent changes in body weight in European populations: results from the project on Diet, Obesity, and Genes (DiOGenes)

Background:High fruit and vegetable intakes may limit weight gain, particularly in susceptible persons, such as those who stop smoking. Objective:The objective was to assess the association of fruit and vegetable intake with subsequent weight change in a large-scale prospective study. Design:The data used were from 89,432 men and women from 5 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC). The association between fruit and vegetable intake and weight change after a mean follow-up of 6.5 y was assessed by linear regression. Polytomous logistic regression was used to evaluate whether fruit and vegetable intake relates to weight gain, weight loss, or both. Results:Per 100-g intake of fruit and vegetables, weight change was −14 g/y (95% CI: −19, −9 g/y). In those who stopped smoking during follow-up, this value was −37 g/y (95% CI: −58, −15 g/y;P for interaction < 0.0001). When weight gain and loss were analyzed separately per 100-g intake of fruit and vegetables in a combined model, the odds ratios (95% CIs) were 0.97 (0.95, 0.98) for weight gain ≥0.5 and <1 kg/y, 0.94 (0.92, 0.96) for weight gain ≥1 kg/y, and 0.97 (0.95, 0.99) for weight loss ≥0.5 kg/y. In those who stopped smoking during follow-up, the odds ratios (95% CIs) were 0.93 (0.88, 0.99), 0.87 (0.81, 0.92), and 0.97 (0.88, 1.07), respectively (P for interaction < 0.0001). Conclusions:Fruit and vegetable intake relates significantly, albeit weakly inversely, to weight change. For persons who stop smoking, high fruit and vegetable intakes may be recommended to reduce the risk of weight gain.

Association of Body Weight and Body Condition with Survival in Dogs with Heart Failure

Obesity is a risk factor for cardiovascular disease in people, but overweight and obese human heart failure patients have improved survival compared with normal--or underweight controls--the obesity paradox. The purpose of this study was to determine if there is an association of body weight and body condition with survival in dogs with heart failure. That body condition and changes in body weight are predictors of survival in dogs with heart failure. One hundred and eight dogs with heart failure (International Small Animal Cardiac Health Council stages 2, 3a, or 3b) secondary to dilated cardiomyopathy or chronic valvular disease. Medical records were reviewed, and data regarding initial body weight and body condition score (BCS), subsequent changes in body weight, and treatment were collected. Survival times were determined for dogs that were discharged from the hospital and lived >24 hours. Survival was significantly different between dogs that gained, lost, or maintained body weight over the course of their disease (P= .04), with dogs that gained weight surviving the longest. BCS and medications were not significantly associated with survival time; however, n-3 fatty acid intake was associated with longer survival time (P= .009). These results suggest that changes in body weight might be an important consideration in the survival of dogs with heart failure.

Glucose Response to an Oral Glucose Tolerance Test Predicts Weight Change in Non‐diabetic Subjects

Glucose exerts a dual action in the regulation of energy balance, consisting of inhibition of energy intake and stimulation of energy expenditure. Whether blood glucose affects long-term regulation of body weight in humans remains to be established. We sought to test the hypothesis that the post-challenge glucose response is a predictor of weight change. We performed a prospective analysis of the impact of glucose response to an oral glucose tolerance test (OGTT) and a mixed-meal test (MT) on subsequent changes in body weight (BW) on 253 Pima Indians (166 men and 87 women) with normal glucose regulation at baseline and follow-up (follow-up: 7 +/- 4 years). Main outcome measures included BW change (total, percent, and annual), plasma glucose and insulin concentrations during OGTT and MT [total and incremental areas under the curve (AUCs)], resting metabolic rate (RMR; indirect calorimetry), and insulin action (euglycemic-hyperinsulinemic clamp). Total and incremental glucose AUCs during the OGTT (but not the MT) were negatively associated with BW change (total, percent, and annual), both before and after adjusting for sex, age, initial BW, follow-up time, insulin action, RMR, fasting plasma glucose and insulin concentrations, and insulin response. Total and incremental glucose AUCs during the OGTT were independent determinants of final BW with age, initial BW, follow-up time, fasting plasma insulin concentrations, and RMR. Higher post-challenge glucose response protects against BW gain in subjects with normal glucose regulation. We propose that this action may be because of the effect of glucose on food intake and/or thermogenesis.

11β-Hydroxysteroid Dehydrogenase Type 1 in Adipose Tissue and Prospective Changes in Body Weight and Insulin Resistance*

Increased mRNA and activity levels of 11beta-hydroxysteroid dehydrogenase type 1 (11betaHSD1) in human adipose tissue (AT) are associated with obesity and insulin resistance. The aim of our study was to investigate whether 11betaHSD1 expression or activity in abdominal subcutaneous AT of non-diabetic subjects are associated with subsequent changes in body weight and insulin resistance [homeostasis model assessment of insulin resistance (HOMA-IR)]. Prospective analyses were performed in 20 subjects (two whites and 18 Pima Indians) who had baseline measurements of 11betaHSD1 mRNA and activity in whole AT (follow-up, 0.3 to 4.9 years) and in 47 Pima Indians who had baseline assessments of 11betaHSD1 mRNA in isolated adipocytes (follow-up, 0.8 to 5.3 years). In whole AT, although 11betaHSD1 mRNA levels showed positive associations with changes in weight and HOMA-IR, 11betaHSD1 activity was associated with changes in HOMA-IR but not in body weight. 11betaHSD1 mRNA levels in isolated adipocytes were not associated with follow-up changes in any of the anthropometric or metabolic variables. Our results indicate that increased expression of 11betaHSD1 in subcutaneous abdominal AT may contribute to risk of worsening obesity and insulin resistance. This prospective relationship does not seem to be mediated by increased 11betaHSD1 expression in adipocytes.

Do Energy Density and Dietary Fiber Influence Subsequent 5‐Year Weight Changes in Adult Men and Women?

We examined whether associations between dietary components and, in particular, energy density (ED) predicted subsequent 5-year weight changes. The present longitudinal population study was part of the Danish World Health Organization Multinational Monitoring of Trends and Determinants in Cardiovascular Disease (MONICA) and the 1936 cohort dietary studies. Effects of components were studied in relation to subsequent 5-year weight changes in 862 men and 900 women, 30 to 60 years old. Linear multiple regression analyses were conducted. Mean 5-year changes in body weight (BW) were 1.2 +/- 3.9 and 1.3 +/- 4.6 kg for men and women, respectively. In general, neither ED nor any of the dietary components was associated with subsequent change in BW. In women, ED was positively associated with weight gain among the obese (BMI > 30 kg/m2) and inversely associated with weight gain in normal-weight women (BMI < 25 kg/m2) (p = 0.01). However, in men there was a non-significant inverse trend between ED and weight gain in the obese and no significant interaction. To our knowledge, this is the first prospective study to examine the associations between ED and subsequent changes in BW, and despite a general belief that ED is a major determinant of obesity, the present study did not generally lend support for an association. However, among certain subgroups, an energy-dense diet may be a risk factor for weight development.

Smoking cessation and subsequent changes in body weight, serum lipids and glucose levels in middle aged men

Smoking cessation and subsequent changes in body weight, serum lipids and glucose levels in middle aged men

Bone mass and risk factors for bone loss in perimenopausal Danish women.

To determine risk factors for low bone mass at menopause and risk factors for subsequent bone loss in the following period. A cross-sectional study and a 2-year prospective follow-up. The catchment area of Sundby Hospital in Copenhagen. Four hundred and thirty-three women aged 45-58 years, with amenorrhea for 3-24 months, of whom 87 were followed for a 2-year period. Registration of life-style and anthropometric variables, reproductive history, and family history of fractures. Total body bone mineral content (BMC) was measured with dual energy X-ray absorptiometry. By means of multiple regression analysis height, body weight, and length of reproductive period were found to be positively related to whole body BMC (P < 0.001), whilst a negative relationship was found to age (P < 0.001), smoking (P < 0.001), and family history of fractures (P < 0.005). In the longitudinal study, only body weight at the inclusion (P = 0.005) and subsequent changes in body weight and fat mass (P < 0.001) were related to the changes in bone mass. The most significant predictors for bone loss were changes in body weight and fat mass. Hence, weight loss is a risk factor for bone loss in the early postmenopausal period, whereas weight gain seems to preserve bone.

Low ratio of fat to carbohydrate oxidation as predictor of weight gain: study of 24-h RQ

Reduced oxidation of fat leading to a positive fat balance could be a factor in the development of obesity. Twenty-four-hour respiratory quotient (RQ) was measured in 152 nondiabetic Pima Indians fed a weight-maintenance diet [87 males and 65 females; 27 +/- 6 yr (mean +/- SD); 93.9 +/- 22.9 kg; 32 +/- 9% fat]. Twenty-four-hour RQ varied from 0.799 to 0.903. Prior change in body weight, 24-h energy balance, sex, and percent body fat explained 18% of the variance in 24-h RQ (P less than 0.001). In a subgroup of 66 siblings from 28 families, family membership explained 28% of the remaining variance in 24-h RQ (P less than 0.05). In 111 subjects for whom follow-up data (25 +/- 11 mo) were available, 24-h RQ was correlated with subsequent changes in body weight and fat mass (r = 0.27, P less than 0.01 and r = 0.19, P less than 0.05, respectively). Subjects with higher 24-h RQ (90th percentile) independent of 24-h energy expenditure were at 2.5 times higher risk of gaining greater than or equal to 5 kg body weight than those with lower 24-h RQ (10th percentile). We conclude that in Pima Indians fed a standard diet 1) family membership is the principal determinant of the ratio of fat to carbohydrate oxidation, and 2) a low ratio of fat to carbohydrate oxidation is associated with subsequent weight gain independent of low energy expenditure and may contribute to the familial aggregation of obesity.