Estudio de la obesidad en una población infantil rural y su relación con variables antropométricas

GoalsTo know the prevalence of obesity in primary and secondary school students, and to evaluate the diagnostic accuracy of anthropometric variables for its detection.DesignCross-sectional study.LocationRural area of Córdoba. In the year 2014.ParticipantsStudent population. A stratified sampling was performed according to age, gender and educational centers. A total of 323 students from 6 to 16 years were included in the study, all parents had signed informed consent.Main measurementsThe prevalence of obesity was determined and sociodemographic, anthropometric, physical condition and dietary predictor variables were collected. A binary logistic regression was performed determining crude and adjusted Odds Ratio (OR) values, ROC curves were obtained and cut-off values were determined, calculating the sensitivity, specificity and Youden index.ResultsThe prevalence of overweight and obesity was 26.2% and 22.3%, respectively. Only 15.2% of school children had an optimal Mediterranean diet. The waist-height ratio (WtHR) was the predictive variable with the highest adjusted OR 7.1 (4.3-11.6) and the largest area under the curve 0.954 (0.928-0.979), from a global cut-off value to discriminate obesity of 0.507. This gave a sensitivity of 90% and specificity of 87.2%.ConclusionsThe high prevalence of obesity, the low-medium adherence to the Mediterranean diet and the low physical fitness make this population a priority target for the prevention of future cardiovascular events. The WtHR has been the best anthropometric predictor of obesity, recommending its use for the diagnosis of obesity in children at the expense of body mass index.     

Management of Type 2 Diabetes: Current Strategies,Unfocussed Aspects,Challenges, and Alternatives

Type 2 diabetes mellitus (T2DM) accounts for >90% of the cases of diabetes in adults. Resistance to insulin action is the major cause that leads to chronic hyperglycemia in diabetic patients. T2DM is the consequence of activation of multiple pathways and factors involved in insulin resistance and β-cell dysfunction. Also, the etiology of T2DM involves the complex interplay between genetics and environmental factors. This interplay can be governed efficiently by lifestyle modifications to achieve better management of diabetes. The present review aims at discussing the major factors involved in the development of T2DM that remain unfocussed during the anti-diabetic therapy. The review also focuses on lifestyle modifications that are warranted for the successful management of T2DM. In addition, it attempts to explain flaws in current strategies to combat diabetes. The employability of phytoconstituents as multitargeting molecules and their potential use as effective therapeutic adjuvants to first line hypoglycemic agents to prevent side effects caused by the synthetic drugs are also discussed.     

StepWatch accuracy during walking,running, and intermittent activities

IntroductionThe purpose of this study was two-fold: 1) to investigate effects of cadence and sensitivity settings for the StepWatch (SW3) on step count accuracy over a wide range of ambulatory speeds, and 2) to compare the preprogrammed “quick start” settings to modified settings during intermittent lifestyle activities.MethodsPart 1: Fifteen participants (18–57 years of age) performed two trials of treadmill walking and running at ten speeds ranging from 26.8 to 268 m min⁻¹ while wearing four SW3 devices. During the first trial, the cadence setting was maintained while sensitivity was varied; in the second trial sensitivity was maintained while the cadence setting was varied. Part 2: Fifteen participants performed four intermittent activities and drove an automobile while wearing two SW3 devices, one with preprogrammed settings and the other with the modified settings determined in Part 1.ResultsPart 1: The modified settings (cadence setting of 70% of default and sensitivity of 16) provided the greatest step counting accuracy across a wide range of speeds reporting 96.0–104% of actual steps between 53.6 and 268 m min⁻¹. Part 2: The preprogrammed settings tended to have higher accuracy for light household tasks (recording 88% to 94% of actual steps) than the modified settings (recording 82% to 86% of actual steps) which showed a trend towards higher accuracy for tennis (recording 93% vs. 89% of actual steps) (p < 0.05).ConclusionThe preprogrammed “quick start” StepWatch settings should be used with individuals who do not engage in running and vigorous sports. However, for individuals who engage in running and tennis, use of modified settings may result in improved step counting accuracy.     

Identifying adverse effects of area-based health policy: An ethnographic study of a deprived neighbourhood in England

Health interventions commonly have adverse effects. Addressing these could significantly improve health outcomes. This paper addresses an adverse effect common in the promotion of health behaviours: exacerbation of health inequalities between low- and high-socioeconomic groups. Health behaviours – particularly, physical activity - are positioned within the context of social inequality and the inequitable spatial distribution of resources. Area-based health policy that targets deprived areas is assessed for its capacity to promote health behaviours without exacerbating inequality. Data are derived from a 16-month ethnography in a deprived English neighbourhood that was the target of area-based intervention that prioritised the promotion of physical activity. Findings provide evidence of adverse intervention effects that further disadvantaged the low-socioeconomic population. Analysis demonstrates how this was ultimately the outcome of localised policy drifting away from initial commitments to equitable service access. These findings increase understanding of the processes through which adverse intervention effects arise and how they can be mitigated.     

Alcohol intake and diet in France, the prominent role of lifestyle.

AIM: Moderate alcohol intake is related to a decrease of coronary heart disease. This protective effect may be attributed to ethanol but may also depend on the type of alcoholic beverages. However, these differences may be confounded by lifestyle and diet. We investigated the relationships between alcohol consumption, beverage type preference and socio-economic status, diet and lifestyle. METHODS AND RESULTS: A cross-sectional survey on cardiovascular risk factors and nutrition was carried out from 1995 to 1997 by the French MONICA Centres. A sample of 1110 middle-aged men (45-64 years) was randomly recruited; 12.8% of men were abstainers and 16.3% reported a consumption of #10878;60 g/d alcohol. Smoking, waist-to-hip ratio and hypertension increased along with the amount of alcohol intake. Physical activity (from 40.9% in abstainers to 23.8% in heavy drinkers, p=0.0025), educational level (from 11.9+/-4.4 to 11.1+/-3.8 years, p=0.01), socio-economic status and diet quality index (from 7.1+/-2.3 to 6.3+/-2.0, p<0.0001 after multivariate adjustment) decreased along with the increase of alcohol consumption and were higher among wine drinkers than among beer or mixed drinkers. Diet quality index was 7.1+/-1.9, 6.4+/-1.8 and 6.6+/-1.9 among wine, beer and mixed drinkers, respectively (p=0.007 after multivariate adjustment). CONCLUSION: Moderate alcohol drinkers or wine drinkers have healthy diet and behaviours compared to other drinkers or abstainers. The living area plays a significant role in the dieting behaviours.     

理想心血管健康行为和因素对非酒精性脂肪性肝病发病的影响

目的探究理想心血管健康行为和因素与非酒精性脂肪性肝病（NAFLD）发病的关系,为制订NAFLD的防控策略提供依据。方法采用回顾性队列的研究方法,收集2006年7月—2007年6月50 511例参加健康查体的开滦集团职工的体检资料,并在随后每2年1次的随访中,观察NAFLD的发病情况。正态分布的计量资料多组间比较采用单因素方差分析;偏态分布的计量资料多组间比较采用Kruskal-Wallis H检验。计数资料组间比较采用χ²检验。根据心血管简易评分（CHS）四分位水平将观察对象分为四组,采用人年发病率计算各组人群NAFLD的发病情况,使用限制性立方样条曲线（RCS）计算连续型变量与结局事件间的剂量-反应关系,采用Cox比例风险模型分析各组NAFLD的发病风险比及95%CI,并对心血管健康行为和因素各组分对NAFLD发病的影响进行了Cox比例风险模型分析。结果在平均5.58年的随访过程中,共发生NAFLD 15 265例,Q1、Q2、Q3、Q4组观察对象人年发病率分别为77.88/千人年、61.33/千人年、46.37/千人年、33.69/千人年。RCS结果表明,CH...     

A Mediterranean lifestyle reduces the risk of cardiovascular disease in the “Seguimiento Universidad de Navarra” (SUN) cohort

Background and aimsA healthy lifestyle is essential to prevent cardiovascular disease (CVD). However, beyond dietary habits, there is a scarcity of studies comprehensively assessing the typical traditional Mediterranean lifestyle with a multi-dimensional index. We assessed the association between the Mediterranean lifestyle (measured with the MEDLIFE index including diet, physical activity, and other lifestyle factors) and the incidence of CVD.Methods and resultsThe “Seguimiento Universidad de Navarra” (SUN) project is a prospective, dynamic and multipurpose cohort of Spanish university graduates. We calculated a MEDLIFE score, composed of 28 items on food consumption, dietary habits, physical activity, rest, social habits, and conviviality, for 18,631 participants by assigning 1 point for each typical Mediterranean lifestyle factor achieved, for a theoretically possible final score ranging from 0 to 28 points. During an average follow-up of 11.5 years, 172 CVD cases (myocardial infarction, stroke or cardiovascular death) were observed. An inverse association between the MEDLIFE score and the risk of primary cardiovascular events was observed, with multivariable-adjusted hazard ratio (HR) = 0.50; (95% confidence interval, 0.31–0.81) for the highest MEDLIFE scores (14–23 points) compared to the lowest scores (0–9 points), p (trend) = 0.004.ConclusionA higher level of adherence to the Mediterranean lifestyle was significantly associated with a lower risk of CVD in a Spanish cohort. Public health strategies should promote the Mediterranean lifestyle to preserve cardiovascular health.     

Initiation of insulin treatment after 70 years of age: patient status 2 years later.

The present study assessed 106 diabetic patients 2 years after beginning insulin treatment at or after 70 years of age. Ten patients (9%) had had the therapy discontinued after 2-4 months, 26 (25%) had died of causes unrelated to insulin therapy, 12 (11%) were lost to follow-up, and 58 (55%) were still alive and insulin treated. Fifty-one were at home and seven institutionalized for reasons unrelated to insulin therapy. Of these 58 patients, 50 were available for further study. Except for frequency of travel, which had decreased, lifestyle either improved or did not change. Patients' perceptions of the goals of treatment were more appropriate to a younger population of patients, who are less vulnerable to hypoglycaemic reactions. Mean fasting blood glucose was considered by the medical staff to be too low in 42% of cases. Adding insulin to the treatment of the elderly did not negatively affect their lifestyle, and indeed, insulin therapy appeared to create or strengthen the patients' existing social support network. Educational interventions must attempt to extend the effect of the specialized unit outside the hospital, to families, visiting nurses as well as general practitioners.