Sensor-Based Assessment of Time-of-Day-Dependent Physiological Responses and Physical Performances during a Walking Football Match in Higher-Weight Men

Monitoring key physiological metrics, including heart rate and heart rate variability, has been shown to be of value in exercise science, disease management, and overall health. The purpose of this study was to investigate the diurnal variation of physiological responses and physical performances using digital biomarkers as a precise measurement tool during a walking football match (WFM) in higher-weight men. Nineteen males (mean age: 42.53 ± 12.18 years; BMI: 33.31 ± 4.31 kg·m-2) were engaged in a WFM at two different times of the day. Comprehensive evaluations of physiological parameters (e.g., cardiac autonomic function, lactate, glycemia, and oxygen saturation), along with physical performance, were assessed before, during, and after the match. Overall, there was a significant interaction (time of day x WFM) for mean blood pressure (MBP) (p = 0.007) and glycemia (p = 0.039). Glycemia decreased exclusively in the evening after WFM (p = 0.001), while mean blood pressure did not significantly change. Rating of perceived exertion was significantly higher in the evening than in the morning (p = 0.04), while the heart rate recovery after 1 min (HRR60s) of the match was lower in the evening than in the morning (p = 0.048). Overall, walking football practice seems to be safe, whatever the time of day. Furthermore, HRR60, glycemia, and (MBP) values were lower in the evening compared to the morning, suggesting that evening exercise practice could be safer for individuals with higher weight. The utilization of digital biomarkers for monitoring health status during WFM has been shown to be efficient.

Impact of health risk factors on healthcare resource utilization, work-related outcomes and health-related quality of life of Australians: a population-based longitudinal data analysis

Background

Health risk factors, including smoking, excessive alcohol consumption, overweight, obesity, and insufficient physical activity, are major contributors to many poor health conditions. This study aimed to assess the impact of health risk factors on healthcare resource utilization, work-related outcomes and health-related quality of life (HRQoL) in Australia.

Methods

We used two waves of the nationally representative Household, Income, and Labor Dynamics in Australia (HILDA) Survey from 2013 and 2017 for the analysis. Healthcare resource utilization included outpatient visits, hospitalisations, and prescribed medication use. Work-related outcomes were assessed through employment status and sick leave. HRQoL was assessed using the SF-6D scores. Generalized estimating equation (GEE) with logit or log link function and random-effects regression models were used to analyse the longitudinal data on the relationship between health risk factors and the outcomes. The models were adjusted for age, sex, marital status, education background, employment status, equilibrium household income, residential area, country of birth, indigenous status, and socio-economic status.

Results

After adjusting for all other health risk factors covariates, physical inactivity had the greatest impact on healthcare resource utilization, work-related outcomes, and HRQoL. Physical inactivity increased the likelihood of outpatient visits (AOR = 1.60, 95% CI = 1.45, 1.76 p < 0.001), hospitalization (AOR = 1.83, 95% CI = 1.66-2.01, p < 0.001), and the probability of taking sick leave (AOR = 1.31, 95% CI = 1.21-1.41, p < 0.001), and decreased the odds of having an above population median HRQoL (AOR = 0.48, 95% CI = 0.45-0.51, p < 0.001) after adjusting for all other health risk factors and covariates. Obesity had the greatest impact on medication use (AOR = 2.02, 95% CI = 1.97-2.29, p < 0.001) after adjusting for all other health risk factors and covariates.

Conclusion

Our study contributed to the growing body of literature on the relative impact of health risk factors for healthcare resource utilization, work-related outcomes and HRQoL. Our results suggested that public health interventions aim at improving these risk factors, particularly physical inactivity and obesity, can offer substantial benefits, not only for healthcare resource utilization but also for productivity.

Impact of changing the prevalence of smoking, alcohol consumption and overweight/obesity on cancer incidence in China from 2021 to 2050: a simulation modelling study

Background

Smoking, alcohol consumption and overweight/obesity are key cancer risk factors contributing to the cancer burden in China. We aimed to quantify the cancer burden in China associated with smoking, alcohol consumption and overweight/obesity, and estimate the potential effect for cancer prevention interventions under different scenarios.

Methods

We used a macro-simulation approach called Prevent Model to estimate for a 30-year study period (2021-2050) numbers and proportions of future avoidable cancer cases under different scenarios of reducing the prevalence of smoking, alcohol consumption and overweight/obesity in Chinese adults. Cancer incidence was predicted under three scenarios: elimination, ambitious target (between elimination and manageable target) and manageable target (from national policy or global action plan). Risk factor prevalence was obtained from China Chronic Disease and Risk Factor Surveillance, and cancer incidence data were derived from the China Cancer Registry Annual Report. Relative risks were obtained from several recent large-scale studies or high-quality meta-analysis. Population data were extracted from the China Population & Employment Statistical Yearbook, China Health Statistical Yearbook and World Population Prospects.

Findings

Estimates of the avoidable cancer burden varied with different scenarios. In the theoretical maximum intervention scenario, where the prevalence of smoking, alcohol consumption and overweight/obesity would be eliminated, 9.17% (males: 13.50%; females: 1.47%) of smoking-related cancer cases, 7.06% (males: 11.49%; females: 1.00%) of cancer cases related to alcohol consumption and 8.22% (males: 7.91%; females: 8.52%) of overweight/obesity-related cancer cases were estimated to be avoidable during 2021-2050. Other scenarios, with more moderate goals in the exposure prevalence of smoking, alcohol use and overweight/obesity were also found to be associated with substantial reductions in the future cancer burden.

Interpretation

Our results suggested that a substantial number of future cancer cases could be avoided in Chinese adults by reducing the prevalence of smoking, alcohol consumption and overweight/obesity.

Funding

National Science & Technology Fundamental Resources Investigation Program of China; Sanming Project of Medicine in Shenzhen.

Monoamine oxidase is a source of cardiac oxidative stress in obese rats: the beneficial role of metformin

Diet-induced metabolic diseases, such as obesity, metabolic syndrome, and type 2 diabetes (T2DM) are the global threatening epidemics that share cardiovascular oxidative stress as common denominator. Monoamine oxidase (MAO) has recently emerged as a constant source of reactive oxygen species (ROS) in DM. Metformin, the first-line drug in T2DM, elicits cardiovascular protection via pleiotropic effects. The present study was aimed to assess the contribution of MAO to the early cardiac oxidative stress in a rat model of high-calorie junk food (HCJF) diet-induced obesity and prediabetes and whether metformin can alleviate it. After 6 months of HCJF, rats developed obesity and hyperglycemia. Hearts were isolated and used for the evaluation of MAO expression and ROS production. Experiments were performed in the presence vs absence of metformin (10 µM) and MAO-A and B inhibitors (clorgyline and selegiline, 10 µM), respectively. Both MAO isoforms were overexpressed and led to increased ROS generation in cardiac samples harvested from the obese animals. Acute treatment with metformin and MAO inhibitors was able to mitigate oxidative stress. More important, metformin downregulated MAO expression in the diseased samples. In conclusion, MAO contributes to oxidative stress in experimental obesity and can be targeted with metformin.

An ecological study of obesity-related cancer incidence trends in Australia from 1983 to 2017

BACKGROUND

Overweight and obesity is a growing public health issue as it contributes to the future burden of obesity-related diseases, including cancer, especially in high-income countries. In Australia, 4.3% of all cancers diagnosed in 2013 were attributable to overweight and obesity. Our aim was to examine Australian age-specific incidence trends over the last 35 years for obesity-related cancers based on expert review (colorectal, liver, gallbladder, pancreas, breast in postmenopausal women, uterine, ovary, kidney, thyroid, and multiple myeloma) individually and pooled.

METHODS

Australian incidence data for 10 obesity-related cancers among people aged 25-84 years, diagnosed from 1983 to 2017, were obtained from the Australian Cancer Database. We used age-period-cohort modelling and joinpoint analysis to assess trends, estimating incidence rate ratios (IRR) by birth-cohort for each individual cancer and pooled, and the annual percentage change. The analyses were also conducted for non-obesity-related cancers over the same period.

FINDINGS

The total number of cancers where some proportion is obesity-related, diagnosed from 1983-2017, was 1,005,933. This grouping was 34.7% of cancers diagnosed. The IRR of obesity-related cancers increased from 0.77 (95% CI 0.73, 0.81) for the 1903 birth-cohort to 2.95 (95% CI 2.58, 3.38) for the recent 1988 cohort relative to the 1943 cohort. The IRRs of non-obesity related cancers were stable with non-significant decreases in younger cohorts. These trends were broadly similar across sex and age groups.

INTERPRETATION

The incidence of obesity-related cancers in Australia has increased by birth-cohort across all age-groups, which should be monitored. Obesity, a public health epidemic, needs to be addressed through increased awareness, policy support and evidence-based interventions.

FUNDING

This research received no specific funding.

Tropical fruits from Australia as potential treatments for metabolic syndrome

Australia has a unique and diverse flora, including indigenous fruits, used by Australian Aboriginals for food and medicines for up to 45,000 years as well as recently introduced fruits for commercial production. However, this range of fruits has not led to the development of functional foods, for example for chronic inflammatory diseases such as metabolic syndrome including obesity, hypertension, fatty liver and diabetes. This review examines the potential of tropical and subtropical fruits from Australia to be used as functional foods for metabolic syndrome, including Davidson's plum, Queen Garnet plum, durian, litchi, breadfruit, jackfruit, mangosteen, papaya, jabuticaba, coffee and seaweed. Preclinical studies have defined potential responses of these functional foods in metabolic syndrome but the usefulness in humans with metabolic syndrome requires clinical studies which are scarce in the relevant literature. Overall, these Australian examples show that tropical fruits can provide functional foods to decrease chronic inflammatory diseases.

Impact of reducing excess body weight and physical inactivity on cancer incidence in Germany from 2020 to 2050-a simulation model

BACKGROUND

Excess body weight and physical inactivity are key cancer risk factors contributing substantially to the cancer burden in Germany. We aimed to estimate the numbers and proportions of future cancer cases prevented under different scenarios of reducing the prevalence of excess body weight and physical inactivity in Germany.

METHODS

Based on a macro-simulation approach calculating age-, sex-, and cancer-site specific potential impact fractions, we estimated for a 30-year study period (2020-2050) numbers and proportions of cancer cases prevented under different scenarios of reducing excess body weight (overweight and obesity) and increasing levels of physical activity in the German population.

RESULTS

Estimates of the prevented cancer burden varied in the different scenarios. In the guideline exposure scenarios, in which the prevalence of excess body weight and insufficient levels of physical activity would be eliminated, 8.7% (men: 10.1%; women: 7.8%) of overweight/obesity-related cancer cases and 2.4% (men: 2.3%; women: 2.4%) of cancer cases related to physical inactivity were estimated to be prevented over a 30-year period. This translates to approximately 662,000 (men: 304,000; women: 358,000) and 129,000 (men: 42,000; women: 87,000) prevented cancer cases, respectively.

CONCLUSION

Our results illustrate that a substantial number of future cancer cases could be prevented in the German population by reducing excess body weight and physical inactivity.

Thyroid cancers potentially preventable by reducing overweight and obesity in Australia: A pooled cohort study

Thyroid cancer incidence and the prevalence of overweight and obesity are increasing, but the future thyroid cancer burden attributable to contemporary levels of overweight and obesity has not been evaluated before. We quantified this burden in Australia, and assessed whether the overweight/obesity-attributable burden differed by sex or other population subgroupings. We estimated the strength of the associations of overweight and obesity with thyroid cancer with adjusted proportional hazards models using pooled data from seven Australian cohorts (N = 367 058) with 431 thyroid cancer cases ascertained from linked national cancer registry data during a maximum 22-year follow-up. We combined these estimates with nationally representative 2017 to 2018 estimates of overweight and obesity prevalence to estimate population attributable fractions (PAFs) of future thyroid cancers attributable to overweight and obesity, accounting for competing risk of death, and compared PAFs for population subgroups. Contemporary levels of overweight and obesity explain 18.6% (95% confidence interval [CI] = 5.2%-30.2%), and obesity alone 13.7% (95% CI: 5.2%-21.4%), of the future thyroid cancer burden. The obesity-attributable thyroid cancer burden is 21.4% (95% CI: 2.8%-36.5%) for men and 10.1% (95% CI: 0.8%-18.6%) for women. Were the currently obese overweight instead, 9.9% (95% CI: 1.0%-18.1%) of thyroid cancers could be avoided. The relative overweight/obesity-attributable burden is higher for those consuming on average more than two alcoholic drinks per day (63.4%) and for those who are not married/co-habiting (33.2%). In conclusion, avoiding excess weight, especially obesity, should be a priority for thyroid cancer prevention. Further studies, with findings stratified by tumour size, may reveal the potential role of overdiagnosis in our results.

The future excess fraction of cancer due to lifestyle factors in Australia

BACKGROUND

Many cancers are caused by exposure to lifestyle, environmental, and occupational factors. Earlier studies have estimated the number of cancers occurring in a single year which are attributable to past exposures to these factors. However, there is now increasing appreciation that estimates of the future burden of cancer may be more useful for policy and prevention. We aimed to calculate the future number of cancers expected to arise as a result of exposure to 23 modifiable risk factors.

METHODS

We used the future excess fraction (FEF) method to estimate the lifetime burden of cancer (2016-2098) among Australian adults who were exposed to modifiable lifestyle, environmental, and occupational risk factors in 2016. Calculations were conducted for 26 cancer sites and 78 cancer-risk factor pairings.

RESULTS

The cohort of 18.8 million adult Australians in 2016 will develop an estimated 7.6 million cancers during their lifetime, of which 1.8 million (24%) will be attributable to exposure to modifiable risk factors. Cancer sites with the highest number of future attributable cancers were colon and rectum (n = 717,700), lung (n = 380,400), and liver (n = 103,200). The highest number of future cancers will be attributable to exposure to tobacco smoke (n = 583,500), followed by overweight/obesity (n = 333,100) and alcohol consumption (n = 249,700).

CONCLUSION

A significant proportion of future cancers will result from recent levels of exposure to modifiable risk factors. Our results provide direct, pertinent information to help determine where preventive measures could best be targeted.

An investigation of the relationship between new fasting hormone asprosin, obesity and acute-chronic exercise: current systematic review

The purpose of this study was to reveal the relationship between new fasting hormone asprosin, obesity, and acute-chronic exercise. The prisma guidelines were followed in forming the methodological model of this review. The articles between 2016 and 2020 (including March) were identified by scanning Google Scholar, Pub Med, and Science Direct databases. Thirty-five articles were defined from 188 articles. Three cross-sectional, and 1 prospective cohort design studies in adults, and 3 cross-sectional studies in children were found. Three randomised-control group designed studies which examined the effect of acute exercise on serum asprosin levels in obese individuals. Asprosin may be a new therapeutic biomarker to be considered in the development, but long-term and deep-rooted researches are needed, and increasing the number of studies examining the effect of exercise on asprosin in the future might help us to identify the mechanisms underlying the decrease or increase in asprosin after exercise.

Diet and cancer of the esophagus and stomach

PURPOSE OF REVIEW

Dietary factors have been linked to cancers. This review focuses on several nutrients, which have strong evidence showing increase in cancer risks in the esophagus and stomach.

RECENT FINDINGS

Obesity is an important risk factor in upper gastrointestinal cancers. High sugar content in food and sugary drinks are the main drivers of obesity. Proinflammatory diet is another dietary factor, which is increasingly recognized as being associated with esophageal and gastric cancer.

SUMMARY

Cancer has been predicted to be the leading cause of death in this century. Cancers of the esophagus and stomach are the six and third most common cause of death worldwide. Although Helicobacter pylori infection is a known cause of gastric cancer, obesity is a leading contributor to esophageal adenocarcinoma. Epidemiological data have shown that dietary factors are associated with the two cancers. Observational, case control, animal and recent large cohort studies have identified associations between dietary factors and upper gastrointestinal cancer. Data are also emerging from studies, which look at dietary patterns, such as reduction in the Dietary Inflammatory Index, as well as adherence to a modified Mediterranean diet, and its association with the incidence of esophageal and gastric cancer.

Prevalence, Associated Factors and Psychological Determinants of Obesity among Adults in Selangor, Malaysia

BACKGROUND

The pervasiveness of obesity is a growing concern in the world. This study aims to determine the prevalence of obesity among a segment of the Malaysian population, as well as investigate associated factors and psychological determinants of obesity.

METHODS

A cross-sectional study design was carried out in Selangor, Malaysia. A total of 1380 Malaysian adults (≥18 years old) participated in a structured and validated questionnaire survey. TANITA body scale and SECA 206 body meter were used to measure the respondents' weight and height, from which measurements of their body mass index (BMI) were calculated.

RESULTS

The overall prevalence of obesity (BMI ≥ 30 kg/m2) among adults in Selangor, Malaysia, was 18.6%. Factors significantly associated with increased risk of obesity were: being female (OR = 1.61, 95% CI [1.20-2.17]), aged between 30 to 39 years old (OR = 1.40, 95% CI [1.04-1.88]), being Indian (OR = 1.55, 95% CI [1.13-2.12]), married (OR = 1.37, 95% CI [1.03-1.83]), and having only primary school education (OR = 1.80, 95% CI [1.17-2.78] or secondary school education (OR = 1.37, 95% CI [1.04-1.81]). In the multiple linear regression analysis (stepwise method), perceived stress (B = -0.107, p = 0.041), suicidal ideation (B = -2.423, p = 0.003), and quality of life in the physical health domain (B = -0.350, p = 0.003) inversely and significantly contributed to BMI among males. Among females, stressful life events contributed positively to BMI (B = 0.711, p < 0.001, whereas quality of life in the psychological domain had a negative effect (B = -0.478, p < 0.001) in this respect.

CONCLUSION

There is an urgent need to integrate psychological approaches to enhance the effectiveness of obesity prevention strategies and weight-loss programs.

Latent Class Trajectory Modeling of Adult Body Mass Index and Risk of Obesity-Related Cancer: Findings from the Melbourne Collaborative Cohort Study

BACKGROUND

Obesity increases the risk of 13 cancer types. Given the long process of carcinogenesis, it is important to determine the impact of patterns of body mass over time.

METHODS

Using data from 30,377 participants in the Melbourne Collaborative Cohort Study, we identified body mass index (BMI) trajectories across adulthood and examined their association with the risk of obesity-related cancer. Participants completed interviews and questionnaires at baseline (1990-1994, age 40-69 years), follow-up 1 (1995-1998), and follow-up 2 (2003-2005). Body mass was recalled for age 18 to 21 years, measured at baseline, self-reported at follow-up 1, and measured at follow-up 2. Height was measured at baseline. Cancer diagnoses were ascertained from the Victorian Cancer Registry and the Australian Cancer Database. A latent class trajectory model was used to identify BMI trajectories that were not defined a priori. Cox regression was used to estimate HRs and 95% confidence intervals (CI) of obesity-related cancer risks by BMI trajectory.

RESULTS

Six distinct BMI trajectories were identified. Compared with people who maintained lower normal BMI, higher risks of developing obesity-related cancer were observed for participants who transitioned from normal to overweight (HR, 1.29; 95% CI, 1.13-1.47), normal to class I obesity (HR, 1.50; 95% CI, 1.28-1.75), or from overweight to class II obesity (HR, 1.66; 95% CI, 1.32-2.08).

CONCLUSIONS

Our findings suggest that maintaining a healthy BMI across the adult lifespan is important for cancer prevention.

IMPACT

Categorization of BMI by trajectory allowed us to identify specific risk groups to target with public health interventions.

Assessment of acute aerobic exercise in the morning versus evening on asprosin, spexin, lipocalin-2, and insulin level in overweight/obese versus normal weight adult men

The aim of this study was to examine the acute effect of aerobic exercise when performed in the morning and evening on obesity-related hormones of asprosin, spexin, lipocalin-2, and insulin in normal weight (NW) and overweight/obese (OW/OO) adults. A total of 20 adult male individuals (10 NW and 10 OW/OO) volunteered their participation. Both groups were subjected to an aerobic exercise protocol in moderate intensity (heart rate reserve of 55-59%) for 30 min at two different time periods of the day (morning: 08:00-10:00 h, evening: 20.00-22.00 h) at least 3 d apart. BeBis analysis revealed the OW/OO group consumed significantly less energy (1781.59 ± 410.71 kcal) as compared with NW group (2380.28 ± 445.50 kcal) before the evening exercise (about 3 d) (p <.05). As compared with the NW group, basal serum asprosin, insulin, and lipocalin-2 hormone levels were higher in the OW/OO group, and serum spexin level was lower in OW/OO group (p <.05). Body temperature significantly increased after morning and evening aerobic exercise in both groups. The increase in body temperature was significantly higher after the evening exercise in the OW/OO group compared to the NW group (p <.05). Significant decrease in serum asprosin lipocalin-2, and insulin levels was observed in both groups after exercise (p <.05). Evening aerobic exercise more greatly decreased serum asprosin, lipocalin-2, and insulin level in the OW/OO group as compared with the NW group (p <.05). In conclusion, it is thought that negative energy balance caused by psychological energy restriction and evening aerobic exercise, which leads to a further increase in body temperature, triggers greater decrease of orexigenic signals (suppression of appetite), and is more effective in the development of adipose tissue inflammation and insulin sensitivity, especially in OW/OO group.

Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists

Since the last decade, most of our daily activities have become digital. Digital health takes into account the ever-increasing synergy between advanced medical technologies, innovation, and digital communication. Thanks to machine learning, we are not limited anymore to a descriptive analysis of the data, as we can obtain greater value by identifying and predicting patterns resulting from inductive reasoning. Machine learning software programs that disclose the reasoning behind a prediction allow for “what-if” models by which it is possible to understand if and how, by changing certain factors, one may improve the outcomes, thereby identifying the optimal behavior. Currently, diabetes care is facing several challenges: the decreasing number of diabetologists, the increasing number of patients, the reduced time allowed for medical visits, the growing complexity of the disease both from the standpoints of clinical and patient care, the difficulty of achieving the relevant clinical targets, the growing burden of disease management for both the health care professional and the patient, and the health care accessibility and sustainability. In this context, new digital technologies and the use of artificial intelligence are certainly a great opportunity. Herein, we report the results of a careful analysis of the current literature and represent the vision of the Italian Association of Medical Diabetologists (AMD) on this controversial topic that, if well used, may be the key for a great scientific innovation. AMD believes that the use of artificial intelligence will enable the conversion of data (descriptive) into knowledge of the factors that “affect” the behavior and correlations (predictive), thereby identifying the key aspects that may establish an improvement of the expected results (prescriptive). Artificial intelligence can therefore become a tool of great technical support to help diabetologists become fully responsible of the individual patient, thereby assuring customized and precise medicine. This, in turn, will allow for comprehensive therapies to be built in accordance with the evidence criteria that should always be the ground for any therapeutic choice.

Impact of Tobacco Control Policies on Smoking-Related Cancer Incidence in Germany 2020 to 2050-A Simulation Study

BACKGROUND

Germany is known for its weak tobacco control. We aimed to provide projections of potentially avoidable cancer cases under different tobacco control policy intervention scenarios.

METHODS

To estimate numbers and proportions of potentially avoidable cancer cases under different policy intervention scenarios (cigarette price increases, comprehensive marketing ban, and plain packaging), we calculated cancer site-specific potential impact fractions by age, sex, and year of study period (2020-2050), considering latency periods between reduction in smoking prevalence and manifestation in declining cancer excess risks. To obtain estimates of future incident case numbers, we assumed a continuation of recent smoking trends, and combined German cancer registry data with forecasted population sizes, published effect sizes, and national daily smoking prevalence data.

RESULTS

Over a 30-year horizon, an estimated 13.3% (men 14.0% and women 12.2%) of smoking-related cancer cases could be prevented if a combination of different tobacco control policies were to be implemented in Germany, with repeated price increases being the most effective single policy (men 8.5% and women 7.3%). Extensive sensitivity analyses indicated that the model is fairly robust.

CONCLUSIONS

Our results suggest that the expected cancer incidence in Germany could be considerably reduced by implementing tobacco control policies as part of a primary cancer prevention strategy.

IMPACT

Our straightforward modeling framework enables a comparison of the impact of different health policy measures. To further accelerate the currently observed tentative trend of declining smoking prevalence in Germany and thereby curtail smoking-related cancer incidence, there is a great need to urgently intensify efforts in tobacco control.