Land- versus water-walking interventions in older adults: Effects on body composition

ObjectivesIncreasing physical activity is a priority worldwide, including for older adults who may have difficulty performing traditional forms of exercise, and for whom retention of muscle mass is an important consideration. Water-based exercise may provide an alternative if benefits are comparable. We compared the impact on body composition of 24-week water- versus land-walking interventions in healthy but inactive older adults.DesignRandomised, controlled trial.Methods72 participants (62.5 ± 6.8 yr) were randomised to a land-walking (LW), water-walking (WW) or control (C) group in a supervised centre-based program. The exercise groups trained 3 times/week at matched intensity (%HRR), increasing from 40–45% to 55–65% heart rate reserve (HRR). Height, weight, body mass index (BMI), waist and hip girths were recorded; dual X-ray absorptiometry (DXA) provided fat and lean tissue masses. Participants were re-assessed 24 weeks after completion of the intervention.ResultsThere were no significant changes in body mass or BMI following either exercise protocol, however central adiposity was reduced in both exercise groups, and the WW group increased lower limb lean mass. These benefits did not persist over the follow-up period.ConclusionsExercise can confer beneficial effects on body composition which are not evident when examining weight or BMI. Both WW and LW improved body composition. Water walking can be recommended as an exercise strategy for this age group due to its beneficial effects on body composition which are similar to, or exceed, those associated with land-walking. For benefits to persist, it appears that exercise needs to be maintained.     

The role of protein intake in the relationship between egg consumption and body composition in young adults. A mediation analysis

Background & aimsTo date, the literature examining the effects of whole-egg consumption on health outcomes focuses primarily on cardiovascular health markers; however, a significant gap exists in the literature about how egg consumption may influence body composition indicators. The aim of this study was to estimate the association between egg consumption and body composition indicators and to examine whether this relationship is mediated by protein intake in young adults.MethodsA cross-sectional study was conducted involving 355 first-year university students (aged 18–30 years) from a Spanish public university. Body composition was measured using bioimpedance and dual-energy X-ray absorptiometry (DXA) and fitness components were determined using the course-navette test. Egg consumption and protein intake (both in g/day/kg of body weight) were determined using a 137-item Food-Frequency Questionnaire. ANCOVA models were used to test the mean differences in body composition indicators (body mass index [BMI], ratio waist circumference/height [WC/height], body fat mass percentage, and body lean mass percentage) by egg consumption categories (<1 egg/week, 1–4 eggs/week, ≥5 eggs/week). Hayes's PROCESS macro was used for mediation analyses.ResultsParticipants reporting high egg consumption (≥5 eggs/week) showed significantly lower BMI, WC/height and body fat mass percentage values and higher body lean mass percentage values than those reporting low egg consumption (<1 egg/week) (p < 0.05). However, these relationships were not maintained after adjusting for protein intake. Protein intake acted as a full mediator of the relationships of egg consumption with BMI (indirect effect [IE] = ?1.19; 95% CI [?3.33; ?0.36]), WC/height (IE = ?0.01; 95% CI [?0.04; ?0.01]) and body lean mass percentage (IE = 2.99; 95% CI [1.26; 5.73]) as a partial mediator of the relationship be-tween egg consumption and body fat mass percentage (IE = ?2.19; 95% CI [?4.92; ?0.46]).ConclusionsThe association between egg consumption and body composition is mediated by protein intake. This finding is important from a public health perspective, suggesting that higher egg consumption (≥5 eggs/week) may lead to a healthier body composition, especially due to higher protein intake.     

孕前BMI和妊娠期糖尿病对儿童脂肪重积聚时相提前的独立和联合效应

目的 探讨孕前BMI、妊娠期糖尿病（GDM）与儿童脂肪重积聚（AR）时相提前的关联。方法 基于已经建立的马鞍山优生优育队列，本研究共纳入2 896对母子对，收集孕妇孕前身高、体重、24~28周GDM情况，在婴儿42天、3月龄、6月龄、9月龄以及1岁后每6个月进行1次随访，连续追踪随访至6岁，获得其身长/高、体重等资料。采用多因素logistic回归分析孕前BMI、GDM与儿童AR时相提前的关联强度，并通过相乘、相加模型分析孕前BMI及GDM对于儿童AR时相提前的发生是否存在交互作用。结果 母亲孕前体重不足、体重正常、超重和肥胖者分别占23.2%（672例）、66.4%（1 923例）、8.7%（251例）和1.7%（50例）；GDM患病率为12.4%。儿童AR年龄为（4.38±1.08）岁，AR时相提前的儿童占39.3%。多因素logistic回归结果显示，孕前超重（OR=1.67，95%CI：1.27~2.19）、肥胖（OR=3.05，95%CI：1.66~5.56）以及孕期患有GDM（OR=1.40，95%CI：1.11~1.76）是AR时相提前发生的危险因素，而孕前体重不足（OR=0.60，95%CI：0.49~0.73）是AR时相提前发生的保护因素。与仅孕前超重/肥胖或孕期患有GDM相比，孕前超重/肥胖与孕期患有GDM并存，AR时相提前的发生风险更高，OR值（95%CI）分别为2.03（1.20~3.44）、3.43（1.06~11.12）。相乘模型和相加模型分析显示，孕前BMI和孕期患有GDM对儿童AR时相提前无交互作用。结论 母亲孕前较高的BMI和孕期患有GDM是儿童AR时相提前发生的独立危险因素，两者并存的风险更高，但无统计学交互作用。     

Predictive performance of obesity indexes for the risk of high blood pressure in an adult population

Background and objectives

Comparisons of predictive performance of various anthropometric measures in high blood pressure have not been investigated. This study aimed at evaluating and comparing the predictive power of Body Mass Index (BMI), Body Adiposity index (BAI) and A Body Shape Index (ABSI) for predicting hypertension in adults.

Short term exendin-4 treatment reduces markers of metabolic disorders in female offspring of obese rat dams

ObjectivesMaternal obesity imposes significant health risks in the offspring including diabetes and dyslipidemia. We previously showed that the hypoglycaemic agent exendin-4 (Ex-4) administered from weaning can reverse the maternal impact of ‘transmitted disorders’ in such offspring. However daily injection for six-weeks was required and the beneficial effect may lapse upon drug withdrawal. This study aimed to investigate whether short term Ex-4 treatment during suckling period in a rodent model can reverse transmitted metabolic disorders due to maternal obesity.MethodsMaternal obesity was induced in female Sprague Dawley rats by high-fat diet feeding for 6 weeks, throughout gestation and lactation. Female offspring were treated with Ex-4 (5 μg/kg/day) between postnatal day (P) 4 and 14. Female offspring were harvested at weaning (P20). Lipid and glucose metabolic markers were measured in the liver and fat. Appetite regulators were measured in the plasma and hypothalamus.ResultsMaternal obesity significantly increased body weight, fat mass, and liver weight in the offspring. There was an associated inhibition of peroxisomal proliferator activated receptor gamma coactivator 1α (PGC1α), increased fatty acid synthase (FASN) expression in the liver, and reduced adipocyte triglyceride lipase (ATGL) expression. It also increased the plasma gut hormone ghrelin and reduced glucagon-like peptide-1. Ex-4 treatment partially reversed the maternal impact on adiposity and impaired lipid metabolism in the offspring, with increased liver PGC1α and inhibition of FASN mRNA expression. Ex-4 treatment also increased the expression of a novel fat depletion gene a2-zinc-glycoprotein 1 in the fat tissue.ConclusionShort term Ex-4 treatment during the suckling period significantly improved the metabolic profile in the offspring from the obese mothers at weaning. Long-term studies are needed to follow such offspring to adulthood to examine the sustained effects of Ex-4 in preventing the development of metabolic disease.     

Intraocular pressure measurement over soft contact lens by rebound tonometer:a comparative study

AIM: To evaluate the intraocular pressure (IOP) measurements by Icare rebound tonometer over a contact lens in comparison with Goldmann applanation tonometry (GAT).METHODS: Fifty patients using contact lens were included in this study. One of the eyes of the patients was selected randomly and their IOP were measured by rebound tonometer with and without contact lens (RTCL, RT respectively) and by GAT, as well as their central corneal thickness (CCT) by optical pachymeter. The results of both methods were compared by correlation analysis, general linear method repeated measure and Bland-Altman analysis.RESULTS: Mean IOP values measured by RTCL, RT and GAT were 15.68±3.7, 14.50±3.4 and 14.16±2.8 (P<0.001), respectively. Mean IOP by RTCL was significantly higher than the measurements implemented by RT and GAT (P<0.001), while there was no difference between the measurements by GAT and RT (P=0.629). There was a good level of positive correlation between GAT and RTCL as well as RT (r=0.786 P<0.001, r=0.833 P<0.001, respectively). We have observed that CCT increase did not show any correlation with the differences of the measurements between RTCL and RT (P=0.329), RTCL and GAT (P=0.07) as well as RT and GAT (P=0.189) in linear regression model.CONCLUSION: The average of the measurements over contact lens by rebound tonometer was found to be higher than what was measured by GAT. Although this difference is statistically significant, it may be clinically negligible in the normal population.     

Association of sequence variations in the gene encoding adiponectin receptor 1 (ADIPOR1) with body size and insulin levels. The Finnish Diabetes Prevention Study

Aims/hypothesis Adiponectin is a circulating peptide derived from adipose tissue. It mediates its insulin-sensitising and anti-atherogenic effects on target tissues through two known receptors, adiponectin receptors 1 and 2 (ADIPOR1; ADIPOR2), which are encoded by the genes ADIPOR1 and ADIPOR2. Our aim was to study the association of ADIPOR1 gene variations with body size and risk of type 2 diabetes in subjects with impaired glucose tolerance, who participated in the Finnish Diabetes Prevention Study (DPS).Subjects and methods We selected seven single nucleotide polymorphisms (SNPs) of the ADIPOR1 gene to perform association studies with anthropometrics and metabolic parameters at baseline, and with the risk of type 2 diabetes during the 3-year follow-up in the DPS study population. Both single SNP analysis and haplotype effects were studied.Results Three out of seven markers studied (rs10920534, rs22757538 and rs1342387) were significantly associated with various body size measurements including weight, height, waist and hip circumference, sagittal diameter and body mass index. Furthermore, three markers (rs10920534, rs12045862 and rs7539542), of which two were different from those associating with body size, were linked to fasting and 2-h insulin levels, particularly in men at baseline. The haplotype analysis with five markers revealed seven major haplotypes in the DPS study population. The haplotype effects on body size measures were in line with those of single SNP analysis. However, none of the markers were associated with the risk of type 2 diabetes.Conclusions/interpretation Our findings suggest that ADIPOR1 has a putative role in the development of body size, and that traits for central adiposity and insulin resistance may be dissociated from each other.Electronic Supplementary Material Supplementary Material is available in the online version of this article at