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To explore whether being physically active can decrease Alzheimer disease (AD) risk. We conducted a meta-analysis of prospective observational cohort studies reporting the association between physical activity (PA) and incident AD. Relevant articles were identified by title and abstract in the electronic databases PubMed, ScienceDirect, and Scopus using the keywords Alzheimer, Alzheimer disease, Alzheimer’s, Alzheimer’s disease, physical activity, sport, exercise, sedentary, fitness, and combinations thereof for articles published in any language up to February 15, 2016. Criteria for consideration included division of the study cohort by PA levels and sample size specification for each PA level group, quantification (number) of persons who had development of AD, and PA assessment during time off work (not just work time). We followed the MOOSE (Meta-analyses of Observational Studies in Epidemiology) recommendations and used the Newcastle-Ottawa scale for study quality assessment. Ten high-quality studies were included in meta-analysis I (23,345 participants). Follow-up ranged from 3.9 to 31 years, and the participants’ age ranged from 70 to 80 years. The pooled odds ratio for development of AD in participants who were more vs less physically active was 0.65 (95% CI, 0.56-0.74; P<.001; no publication bias [P=.24] but with heterogeneity among studies [I2=31.32%]). We could identify participants’ adherence to international PA recommendations in 5 studies, which constituted meta-analysis II (10,615 participants). The pooled odds ratio for development of AD in participants who were active vs those who were inactive was 0.60 (95% CI, 0.51-0.71; P<.001; no publication bias [P=.34] and no heterogeneity [I2=5.63%]). Although the limitations of self-reported PA data must be considered, regular PA performed by elderly people might play a certain protective role against AD.

This study aimed to evaluate the intra- and inter-instrument variability and reliability of the Axivity AX6 accelerometer under controlled technical conditions and human motion scenarios. In the first experiment, 12 accelerometers were affixed to a vibration platform and tested at four frequencies (2.2, 3.2, 6.5, and 9.4 Hz) along three axes to assess frequency- and axis-dependent variability. In the second experiment, four AX6 accelerometers were simultaneously placed on a subject’s wrist and tested under four human motion conditions (walking at 4 km·h−1 and 6 km·h−1 and running at 8 km·h−1 and 10 km·h−1). Results demonstrated low intra- and inter-instrument variability (CVintra: 3.3–4.5%; CVinter: 6.3–7.7%) with high reliability (ICC = 0.98). Similar results were observed in human motion conditions (CVintra: 5.3–8.8%; CVinter: 7.1–10.4%), with ICC values of 0.98 for combined devices, and 0.99 for each device individually. Despite statistically significant differences (p < 0.05) between devices in human motion all conditions, the variations remained below the minimal clinically significant difference threshold. These findings indicate that under technical conditions on a vibrating platform, and within the range of typical human accelerations, the Axivity AX6 is a reliable tool for measuring accelerations representative of physical activity. However, further research is necessary to validate its performance under free-living conditions.

Introduction Alzheimer’s disease (AD) is the cause of more than two-thirds of all dementia cases. Although there is no effective treatment against this disorder, its association with neuroinflammation suggests that non-steroidal anti-inflammatory drugs (NSAIDs) might represent a potential therapeutic option. Objective The objective of this study was to evaluate the efficacy of NSAIDs in the treatment of AD using a meta-analysis approach. Methods MEDLINE, Web of Science, Science Direct, and the Cochrane Library were used to search all the randomized controlled trials that have evaluated the efficacy of NSAIDs as a treatment for AD (up to 1 October 2014). The overall effect of NSAIDs versus placebo was determined using a random effects model meta-analysis where we compared changes (i.e., mean differences pre- vs. post-treatment) between the two conditions in test scores indicative of cognition, disease severity, and related outcomes. Results Seven studies were finally included in the meta-analysis. Diclofenac/misoprostol, nimesulide, naproxen, rofecoxib, ibuprofen, indomethacin, tarenflurbil, and celecoxib were the NSAIDs used in these reports. The results of the AD Assessment Scale–cognitive subscale (ADAS–cog), the Clinical Dementia Rating Scale sum-of-boxes (CDR-SOB), and the Mini-Mental State Examination (MMSE) showed no statistical or clinical significance of NSAIDs treatment compared with placebo, i.e., mean differences of −0.24 (95 % Confidence Interval (CI) −1.04 to 0.57; P  = 0.52), −0.07 (95 % CI −0.7 to 0.56; P  = 0.82), and 0.35 (95 % CI −0.34 to 1.04; P  = 0.32), respectively. Conclusion Current preliminary evidence suggests no beneficial effect of NSAIDs on cognition or overall AD severity. Thus, although more research is needed in the field, the evidence available does not support the use of NSAIDs for AD treatment.

This work aims to validate the Polar H7 heart rate (HR) sensor for heart rate variability (HRV) analysis at rest and during various exercise intensities in a cohort of male volunteers with different age, body composition and fitness level. Cluster analysis was carried out to evaluate how these phenotypic characteristics influenced HR and HRV measurements. For this purpose, sixty-seven volunteers performed a test consisting of the following consecutive segments: sitting rest, three submaximal exercise intensities in cycle-ergometer and sitting recovery. The agreement between HRV indices derived from Polar H7 and a simultaneous electrocardiogram (ECG) was assessed using concordance correlation coefficient (CCC). The percentage of subjects not reaching excellent agreement (CCC > 0.90) was higher for high-frequency power (PHF) than for low-frequency power (PLF) of HRV and increased with exercise intensity. A cluster of unfit and not young volunteers with high trunk fat percentage showed the highest error in HRV indices. This study indicates that Polar H7 and ECG were interchangeable at rest. During exercise, HR and PLF showed excellent agreement between devices. However, during the highest exercise intensity, CCC for PHF was lower than 0.90 in as many as 60% of the volunteers. During recovery, HR but not HRV measurements were accurate. As a conclusion, phenotypic differences between subjects can represent one of the causes for disagreement between HR sensors and ECG devices, which should be considered specifically when using Polar H7 and, generally, in the validation of any HR sensor for HRV analysis.

This study described and compared physical activity (PA) characteristics at the end of the human lifespan using conventional cut-point-based versus cut-point-free accelerometer metrics. Eighteen institutionalized centenarians (101.5 ± 2.1 years, 72.2% female, 89% frail) wore the wrist GENEActiv accelerometer for 7 days. Conventional metrics, such as time spent in light-intensity PA (LiPA) and moderate-to-vigorous intensity PA (MVPA) were calculated according to published cut-points for adults and older adults. The following cut-point-free metrics were evaluated: average acceleration, intensity gradient and Mx metrics. Depending on the cut-point, centenarians accumulated a median of 15–132 min/day of LiPA and 3–15 min/day of MVPA. The average acceleration was 9.2 mg [Q1: 6.7 mg–Q3: 12.6 mg] and the intensity gradient was −3.19 [−3.34–−3.12]. The distribution of Z-values revealed positive skew for MVPA, indicating a potential floor effect, whereas the skew magnitude was attenuated for cut-point-free metrics such as intensity gradient or M5. However, both cut-point-based and cut-point-free metrics were similarly positively associated with functional independence, cognitive and physical capacities. This is the first time that PA has been described in centenarians using cut-point-free metrics. Our results suggest that new analytical approaches could overcome cut-point limitations when studying the oldest-old. Future studies using these new cut-point-free PA metrics are warranted to provide more complete and comparable information across groups and populations.

Background Centenarians comprise an age group characterized by exceptional longevity and low age‐associated pathologies. However, they still experience physiological decline, and different studies have linked frailty to this population. Exercise interventions reverse frailty and improve functional capacity, but no studies have addressed the effect of an intervention in centenarians. In this study, we assessed the impact of a 12‐week resistance exercise intervention in a group of centenarians and characterized their functional capacity as well as the expression of several molecular biomarkers associated with frailty. Methods A total of 19 centenarians were enrolled, but 7 of them did not complete the study. The remaining 12 centenarians were randomly assigned to the control or intervention group, which was a 12‐week resistance exercise intervention. Molecular biomarkers were measured by qRT‐PCR and ELISA. Results The intervention group improved their functional capacity measured by Short Physical Performance Battery (SPPB) (post 5.0 vs 2.3 in pre) and Physical Performance and Mobility Examination (PPME) (6.5 vs 3.8), as well as in frailty status studied by Fried Frailty Phenotype (3.0 vs 3.8) and Frailty Trait Scale 5 (FTS5) (post 30.7 vs 34.0 in pre) scales. ANCOVA revealed that the resistance training led to significant improvements in functional capacity scales SPPB (p = 0.01) and PPME (p < 0.001), as well as Fried Frailty Phenotype (p = 0.001) and FTS5 (p = 0.05). Biomarkers related to frailty (EGR1, miR194‐5p, miR125b‐5p and miR454‐3p) and inflammation (IL‐6 and IL‐1β) showed different expression patterns in centenarians (n = 19) compared to both old (n = 44, average of 79 years old) and young adults (n = 34, average of 29 years old) groups. Notably, the intervention was associated with improvements in frailty and inflammation biomarkers expression. Finally, correlation analyses showed significant associations between all functional and frailty variables, with SPPB correlating with miR454‐3p (ρ = 0.73) and FTS5 correlating with miR454‐3p (ρ = −0.83), IL‐6 (ρ = 0.60) and miR125b‐5p (ρ = −0.55). Conclusions Our results revealed that resistance exercise intervention enhances functional status and reduces frailty in centenarians, and this is associated with improvements in frailty and inflammation biomarkers.

Road cycling is an endurance sport characterized by several anthropometric performance factors, such as reduced body mass and body fat percentage. As the power to weight ratio is considered one of the most important markers of performance in this sport discipline, it is speculated that anthropometric factors could relate to the physiological parameters found in road cyclists of different performance levels. The current study aimed to describe the anthropometric differences across road cyclists of different performance levels and to assess whether anthropometric values could relate to physiological markers that are commonly used to classify road cyclists, according to their performance level. We classified 46 cyclists as recreationally trained, trained, well trained and professional, according to their VO2max, and performed graded exercise tests and complete anthropometric assessments. The results showed that there were no significant anthropometric differences between trained, well trained and professional cyclists, with only recreationally trained cyclists exhibiting larger perimeters and skinfolds than professional cyclists. Further, although physiological performance, such as VO2max and respiratory compensation point, correlated negatively with several skinfolds and perimeters, these correlations remained restrained and did not distinguish between cyclists of different specialties.

To perform a meta-analysis of cohort studies aimed at providing an accurate overview of mortality in elite athletes. We reviewed English-language scientific articles available in Medline and Web of Science databases following the recommendations of the Meta-analyses Of Observational Studies in Epidemiology group. We searched for publications on longevity and professional or elite athletes (with no restriction on the starting date and up to March 31, 2014). Ten studies, including data from a total of 42,807 athletes (707 women), met all inclusion criteria. The all-cause pooled standard mortality ratio (SMR) was 0.67 (95% CI, 0.55-0.81; P<.001) with no evidence of publication bias (P=.24) but with significant heterogeneity among studies (I2=96%; Q=224.46; P<.001). Six studies provided data on cardiovascular disease (CVD) and 5 on cancer (in a total of 35,920 and 12,119 athletes, respectively). When only CVD was considered as a cause of mortality, the pooled SMR was 0.73 (95% CI, 0.65-0.82; P<.001) with no evidence of bias (P=.68) or heterogenity among studies (I2=38%; Q=8.07; P=.15). The SMR for cancer was 0.60 (95% CI, 0.38-0.94; P=.03) with no evidence of bias (P=.20) despite a significant heterogeneity (I2=91%; Q=44.21; P<.001). The evidence available indicates that top-level athletes live longer than the general population and have a lower risk of 2 major causes of mortality, namely, CVD and cancer.

Judo competition is characterized structurally by weight category, which raises the importance of physiological control training in judo. The aim of the present review was to examine scientific papers on the physiological profile of the judokas, maintenance or loss of weight, framing issues, such as anthropometric parameters (body fat percentage), heart rate responses to training and combat, maximal oxygen uptake, hematological, biological and hormones indicators. The values shown in this review should be used as a reference for the evaluation of physical fitness and the effectiveness of training programs. Hence, this information is expected to contribute to the development of optimal training interventions aiming to achieve maximum athletic performance and to maintain the health of judokas.

Although the number of centenarians is growing worldwide, the potential factors influencing the aging process remain only partially elucidated. Researchers are increasingly focusing toward biomarkers as tools to shed more light on the pathophysiology of complex phenotypes, including the ability to reach successful aging, i.e., free of major chronic diseases. We therefore conducted a case-control study examining the potential associations of multiple candidate biomarkers in healthy centenarians and sex-matched healthy elderly controls. Using a case-control study of 81 centenarians (aged ≥ 100 years) selected based on the fact that they were disease-free and 46 healthy elderly controls (aged 70–80 years), serum levels of 15 different candidate biomarkers involved in the regulation of metabolism, angiogenesis, inflammation, and bone formation were measured. Of the 15 biomarkers tested, four molecules (chemerin, fetuin-A, and fibroblast growth factors [FGF] 19 and 21) were found to be independently associated with successful aging regardless of sex. Logistic regression analysis confirmed that chemerin, fetuin-A, FGF19, and FGF21 were independently associated with successful aging [predicted probability (PP) = 1 / [1 + 1 / exp (11.832 − 0.027 × (chemerin) − 0.009 × (fetuin-A) + 0.014 × (FGF19) − 0.007 × (FGF21)]. The area under the curve (AUC) of predicted probability values for the four-biomarker panel revealed that it can discriminate between centenarians and elderly controls with excellent accuracy (AUC > 0.94, P  < 0.001). Although preliminary in essence and limited by the low sample size and lack of replication in other independent cohorts, our data suggest an independent association between successful aging and serum chemerin, fetuin-A, FGF19, and FGF21, which may provide novel information on the mechanisms behind the human aging process. Whether the four-biomarker panel may predict successful aging deserves further scrutiny.