Cardiovascular health awareness,risk perception,behavioural intention and INTERHEART risk stratification among middle-aged adults in Malaysia

Objective:To investigate the interrelationship between cardiovascular health awareness,risk perception,behavioural intention,and INTERHEART risk stratification in a middle-aged adult population in Malaysia.Methods:A cross-sectional survey with convenience sampling was conducted during November 2022 and January 2023.Participants completed validated questionnaires assessing cardiovascular health awareness,risk perception of cardiovascular diseases,behavioural intention towards adopting healthy habits,and INTERHEART risk stratification score(IHRS)based on established risk factors.A total of 602 respondents were included in the final analysis.Data were analysed with independent t-test/one-way ANOVA or Mann-Whitney/Kruskal-Wallis to test the differences,Pearson correlation or linear regression test to analyze the association of independent and dependent variables.Results:There was a significant positive correlation between medical knowledge related to cardiovascular disease(CVD)and knowledge related to CVD risk prevention,risk perception,behavioural intention and IHRS(P<0.05,Pearson correlation).Notably,individuals with higher IHRS tended to have lower knowledge related to CVD and CVD risk prevention,risk perception,and behavioural intention.Males,laborers,active/former smokers,individuals with lower household income and educational levels,those involved in occupations not related to the healthcare sector,and those who did not receive the CVD health brochure or are unaware of health self-assessment tools are likely to have lower levels of knowledge,risk perception,and poorer behavioural intention regarding cardiovascular health(P<0.05,one-way ANOVA).While educational level,smoking status,awareness about CVD poster,self-assessment tools were repeatedly significantly associated with knowledge related to CVD and CVD risk prevention,risk perception,behavioral intention and/or IHRS(P<0.05,linear regression).Conclusions:These findings underscore the importance of promoting cardiovascular health awareness and risk perception among middle-aged adults to foster positive BI and reduce CVD risk.Tailored interventions targeting specific risk factors identified by INTERHEART may enhance risk stratification accuracy and facilitate targeted preventive strategies.

多主体协同开发社区教育课程的PERSONAL模式探索——基于“我爱我家”的个案研究

通过对“我爱我家”这一社区自发课程的跟踪调查,发现社区自发课程开发实质上是一个组织学习过程,经过个体直觉、知识解释、知识整合等环节实现组织的制度化学习,在推动学习型无边界组织生成的同时,生成社区教育课程。在这一过程中,政策(policies)支持、专家(expert)指导、区域需求和区域特征(regional)、社区系统(system)、组织化(organization)等多要素叠加发挥作用,通过不断拓展新鲜(new)领域的积极行动(action)整合所有资源,并推动跨越边界的学习(learning)贯穿始终。因此,多主体协同的社区自发课程可以不完全地概括为PERSONAL模式。要以PERSONAL模式发展社区自发课程,需要以学习者为中心,注重发展人际互动,营造有利于跨组织交互学习的教育生态系统。

The Relationship between Mental Health Literacy and Subjective Well-Being of Young and Middle-Aged Residents: Perceived the Mediating Role of Social Support and Its Urban-Rural Differences

This study investigates mental health literacy among young and middle-aged urban and rural residents and the differences in mental health literacy,perceived social support and subjective well-being.From January to February 2022,620 participants(320 rural and 300 urban residents)from three provinces of China were selected by con-venience sampling.A general data questionnaire,mental health literacy scale,perceived social support scale and subjective well-being scale were administered.The mental health literacy scores of urban residents were 3.34±0.57 and those of rural residents were 2.73±0.79.The results of multiple regression analysis showed that the mental health literacy scores of rural residents were more significant than those of urban residents in terms of sex and age,while urban residents’mental health literacy scores were more significant than those of rural resi-dents in terms of monthly income.Mental health literacy,perceived social support and subjective well-being of young and middle-aged urban and rural residents were all positively correlated(P<0.01).While the level of mental health literacy is better among urban residents than rural residents,perceived social support plays a partial mediating role between mental health literacy and subjective well-being of both urban and rural residents,and should be the focus of researchers seeking to improve the level of well-being of residents.

Effect of Age and Sex on Stroke Mortality of Young and Middle-aged Adults in China,2002–2019,and Predictions to 2030

Objective This study aimed to examine the trends in stroke mortality among young and middle-aged adults in China.Methods Data were obtained from the China national vital registration system.Significant changes in mortality were assessed by Joinpoint regression.Age-period-cohort analysis was used to explain the reasons for the changes.Future mortality and counts were predicted by the Bayesian age-period-cohort model.Results Between 2002 and 2019,a total of 6,253,951 stroke mortality in young and middle-aged adults were recorded.The age-adjusted mortality rates(AAMRs)of women showed a downward trend.The annual percent changes(APC)were-3.5%(-5.2%,-1.7%)for urban women and-2.8%(-3.7%,-1.9%)for rural women.By contrast,the AAMRs per 100,000 for rural men aged 25–44 years continued to rise from 9.40 to 15.46.The AAMRS for urban men aged 25–44 years and urban and rural men aged 45–64years did not change significantly.Between 2020 and 2030,the projected stroke deaths are 1,423,584 in men and 401,712 in women.Conclusion Significant sex and age disparities in the trends of stroke mortality among young and middle-aged adults were identified in China.Targeted health policy measures are needed to address the burden of stroke in the young generation,especially for rural men,with a focus on the prevention and management of high risk factors.

Relationship between Waist Circumference, Waist-Height Ratio, Body Fat Percentage, Visceral Fat and Bone Mineral Density in Middle-Aged and Elderly Zhuang of China

Objective: To understand the correlation between different degrees of obesity and bone mineral density (BMD). Methods: 772 cases (300 men and 472 females) of Zhuang over 40 years old were randomly selected. The BMD and T score were calculated by measuring the right heel bone using a quantitative-ultrasound densitometer. Body composition index of body weight, waist circumference (WC), waist height ratio (WtHR), body fat percentage (BFP) and visceral fat (VF) were measured using a bioelectrical impedance method. Results: The BMI, WC, and WtHR of the male osteoporosis group were lower than those of the normal bone mass (NBM) group (P Conclusion: BMI is positively correlated with BMD in Zhuang. BFP has a greater correlation with female BMD, and a small reduction in BFP can result in a significant decrease in BMD. BMD of male was positively correlated with abdominal obesity indicators (WC, WtHR, VF). However, abdominal obesity has no obvious effect on the promotion of BMD in women, and increased WtHR can lead to a decrease in BMD. Zhuang can appropriately increase the amount of fat within the normal weight range. At the same time, reasonable exercise and balanced nutrition to avoid excessive obesity or low body weight can reduce the incidence of osteoporosis and osteoporosis fractures.

Association of fatigue with short-term prognosis in young and middle-aged patients with coronary heart disease

Background:To investigate the effect of fatigue on the short-term prognosis of young and middle-aged patients with coronary heart disease(CHD).Methods:A cross-sectional,observational survey was distributed at a tertiary hospital in Suzhou,China.Patients were assessed for fatigue and their prognosis was assessed at 3 and 6 months after discharge.General Information Questionnaire,Fatigue Scale and Seattle Angina Questionnaire(SAQ)were used for the survey.The Cox proportional hazard model was used to analyze the impact of fatigue on the occurrence of major adverse cardiac events(MACEs)at 3 and 6 months after discharge.Multiple linear regression models were used to analyze the effect of fatigue on health-related quality of life(HRQoL)at 3 and 6 months after discharge.Results:199 patients were followed up with in the end.43 patients(21.6%)with MACE three months after discharge had a total SAQ score of(399.76±39.61).The overall SAQ score was(425.14±22.66)and 52 patients(26.1%)experienced MACE six months after discharge.Fatigue was identified as a risk factor for MACE 6 months after discharge by the Cox proportional hazard model(HR=2.939,95%CI:0.177~0.655,P=0.001)and as an independent risk factor for quality of life 3 and 6 months after discharge by multiple linear regression(P<0.001).Conclusions:In individuals who are young or middle-aged and have coronary heart disease,fatigue is a risk factor for the short-term prognosis.It is advised that clinical professionals prioritize patient fatigue assessment and improve management of fatigue symptoms.

Influencing factors of fatigue in young and middle-aged patients with coronary heart disease:a cross-sectional study

Objective:To examine the present state of fatigue in young and middle-aged patients with coronary heart disease(CHD)and to identify the elements that may be affecting it.Methods:From December 2020 to June 2021,240 young and middle-aged patients with CHD who were being treated in the cardiology department of a tertiary care hospital in Suzhou were chosen using a convenience sampling method in order to gather data on the patients’sociodemographic status,fatigue,social support,and stress.Results:Of the 240 disseminated questionnaires,220 valid responses were returned,resulting in an effective recovery rate of 91.67%.The frequency of exhaustion was 51.8%,and the fatigue score was(5.27±2.77).The stress score was(11.15±3.36),while the overall social support score was(39.13±4.72).Binary logistic regression analysis indicated that age,exercise,staying up late,stress,social support,high-sensitivity troponin T,high-density lipoprotein,and ejection fraction were independent risk factors for fatigue in young and middle-aged patients with CHD(P<0.05).Conclusions:Fatigue is more prevalent in young and middle-aged patients with CHD.Clinical nurses can create a unique management plan for patients based on their lifestyle and behavioral patterns,stress levels,social support,and clinical signs to reduce fatigue.

Correlation of personality with individual reproductive success in shrub-nesting birds depends on their life history style

Two questions in the research of animal personality—whether there is a correlation between a personality trait and individual reproductive success,and what is the genetic basis underlying a personality trait—remain unresolved.We addressed these two questions in three shrub-nesting birds,the Azure-winged Magpie(Cyanopica cyanus,AM),White-collared Blackbird(Turdus albocinctus,WB),and Brown-cheeked Laughingthrush(Trochalopteron henrici,BL).The personality type of an individual was first identified according to its response to a territorial intruder.Then,we compared the fleeing distance,breeding parameters,and differential expressed genes(DEGs) in the brain transcriptome between bold and shy breeders.In the three species,bold breeders exhibited more aggressiveness towards an intruder of their territory than did shy breeders.The reproductive success of bold breeders was significantly higher than that of shy breeders in AM but not in WB and BL.The three species shared one DEG,crabp1,which was up-regulated in bold relative to in shy individuals.By regulating the expression of corticotropin-releasing hormone,higher crabp1 gene expression can decrease cellular response to retinoic acid.Therefore,bold individuals are insensitive to external stresses and able to exhibit more aggressiveness to intruders than their shier counterparts.Aggressiveness is beneficial to bold individuals in AM but not in WB and BL because the former could evoke neighbors to make the same response of defending against intruders but the latter could not.Although a personality trait may have the same genetic basis across species,its correlation with reproductive success depends largely on the life history style of a species.

Self-supervised recalibration network for person re-identification

The attention mechanism can extract salient features in images,which has been proved to be effective in improving the performance of person re-identification(Re-ID).However,most of the existing attention modules have the following two shortcomings:On the one hand,they mostly use global average pooling to generate context descriptors,without highlighting the guiding role of salient information on descriptor generation,resulting in insufficient ability of the final generated attention mask representation;On the other hand,the design of most attention modules is complicated,which greatly increases the computational cost of the model.To solve these problems,this paper proposes an attention module called self-supervised recalibration(SR)block,which introduces both global and local information through adaptive weighted fusion to generate a more refined attention mask.In particular,a special"Squeeze-Excitation"(SE)unit is designed in the SR block to further process the generated intermediate masks,both for nonlinearizations of the features and for constraint of the resulting computation by controlling the number of channels.Furthermore,we combine the most commonly used Res Net-50 to construct the instantiation model of the SR block,and verify its effectiveness on multiple Re-ID datasets,especially the mean Average Precision(m AP)on the Occluded-Duke dataset exceeds the state-of-the-art(SOTA)algorithm by 4.49%.

Personal Thermal Management by Radiative Cooling and Heating

Maintaining thermal comfort within the human body is crucial for optimal health and overall well-being.By merely broadening the setpoint of indoor temperatures,we could significantly slash energy usage in building heating,ventilation,and air-conditioning systems.In recent years,there has been a surge in advancements in personal thermal management(PTM),aiming to regulate heat and moisture transfer within our immediate surroundings,clothing,and skin.The advent of PTM is driven by the rapid development in nano/micro-materials and energy science and engineering.An emerging research area in PTM is personal radiative thermal management(PRTM),which demonstrates immense potential with its high radiative heat transfer efficiency and ease of regulation.However,it is less taken into account in traditional textiles,and there currently lies a gap in our knowledge and understanding of PRTM.In this review,we aim to present a thorough analysis of advanced textile materials and technologies for PRTM.Specifically,we will introduce and discuss the underlying radiation heat transfer mechanisms,fabrication methods of textiles,and various indoor/outdoor applications in light of their different regulation functionalities,including radiative cooling,radiative heating,and dual-mode thermoregulation.Furthermore,we will shine a light on the current hurdles,propose potential strategies,and delve into future technology trends for PRTM with an emphasis on functionalities and applications.

Personality Trait Detection via Transfer Learning

Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human resources.Tra-ditional machine learning techniques have been broadly employed for personality trait identification;nevertheless,the development of new technologies based on deep learning has led to new opportunities to improve their performance.This study focuses on the capabilities of pre-trained language models such as BERT,RoBERTa,ALBERT,ELECTRA,ERNIE,or XLNet,to deal with the task of personality recognition.These models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term dependencies.This makes them suitable to classify multi-label personality traits from reviews while mitigating computational costs.The focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from texts.Moreover,it is able to fine-tune the previous models using the MyPersonality dataset,which comprises 9,917 status updates contributed by 250 Facebook users.These status updates are categorized according to the well-known Big Five personality model,setting the stage for a comprehensive exploration of personality traits.To test the proposal,a set of experiments have been performed using different metrics such as the exact match ratio,hamming loss,zero-one-loss,precision,recall,F1-score,and weighted averages.The results reveal ERNIE is the top-performing model,achieving an exact match ratio of 72.32%,an accuracy rate of 87.17%,and 84.41%of F1-score.The findings demonstrate that the tested models substantially outperform other state-of-the-art studies,enhancing the accuracy by at least 3%and confirming them as powerful tools for personality recognition.These findings represent substantial advancements in personality recognition,making them appropriate for the development of user-centric applications.

Cardiovascular risk factors among older persons with cognitive frailty in middle income country

BACKGROUND Cognitive frailty,characterized by the coexistence of cognitive impairment and physical frailty,represents a multifaceted challenge in the aging population.The role of cardiovascular risk factors in this complex interplay is not yet fully understood.AIM To investigate the relationships between cardiovascular risk factors and older persons with cognitive frailty by pooling data from two cohorts of studies in Malaysia.METHODS A comprehensive approach was employed,with a total of 512 communitydwelling older persons aged 60 years and above,involving two cohorts of older persons from previous studies.Datasets related to cardiovascular risks,namely sociodemographic factors,and cardiovascular risk factors,including hypertension,diabetes,hypercholesterolemia,anthropometric characteristics and biochemical profiles,were pooled for analysis.Cognitive frailty was defined based on the Clinical Dementia Rating scale and Fried frailty score.Cardiovascular risk was determined using Framingham risk score.Statistical analyses were conducted using SPSS version 21.RESULTS Of the study participants,46.3%exhibited cognitive frailty.Cardiovascular risk factors including hypertension(OR:1.60;95%CI:1.12-2.30),low fat-free mass(OR:0.96;95%CI:0.94-0.98),high percentage body fat(OR:1.04;95%CI:1.02-1.06),high waist circumference(OR:1.02;95%CI:1.01-1.04),high fasting blood glucose(OR:1.64;95%CI:1.11-2.43),high Framingham risk score(OR:1.65;95%CI:1.17-2.31),together with sociodemographic factors,i.e.,being single(OR 3.38;95%CI:2.26-5.05)and low household income(OR 2.18;95%CI:1.44-3.30)were found to be associated with cognitive frailty.CONCLUSION Cardiovascular-risk specific risk factors and sociodemographic factors were associated with risk of cognitive frailty,a prodromal stage of dementia.Early identification and management of cardiovascular risk factors,particularly among specific group of the population might mitigate the risk of cognitive frailty,hence preventing dementia.

The Impact of Big Five Personality Traits on Older Europeans’ Physical Health

Investigating the role of Big Five personality traits in relation to various health outcomes has been extensively studied. The impact of “Big Five” on physical health is here explored for older Europeans with a focus on examining age groups differences. The study sample included 378,500 respondents derived from the seventh data wave of Survey of Health, Aging and Retirement in Europe (SHARE). The physical health status of older Europeans was estimated by constructing an index considering the combined effect of well-established health indicators such as the number of chronic diseases, mobility limitations, limitations with basic and instrumental activities of daily living, and self-perceived health. This index was used for an overall physical health assessment, for which the higher the score for an individual, the worst health level. Then, through a dichotomization process applied to the retrieved Principal Component Analysis scores, a two-group discrimination (good or bad health status) of SHARE participants was obtained as regards their physical health condition, allowing for further con-structing logistic regression models to assess the predictive significance of “Big Five” and their protective role for physical health. Results showed that neuroti-cism was the most significant predictor of physical health for all age groups un-der consideration, while extraversion, agreeableness and openness were not found to significantly affect the self-reported physical health levels of midlife adults aged 50 up to 64. Older adults aged 65 up to 79 were more prone to open-ness, whereas the oldest old individuals aged 80 up to 105 were mainly affected by openness and conscientiousness. .

Personalized and continuous care intervention affects rehabilitation,living quality,and negative emotions of patients with breast cancer

BACKGROUND Breast cancer is among the most common malignancies worldwide.With progress in treatment methods and levels,the overall survival period has been prolonged,and the demand for quality care has increased.AIM To investigate the effect of individualized and continuous care intervention in patients with breast cancer.METHODS Two hundred patients with breast cancer who received systemic therapy at The First Affiliated Hospital of Hebei North University(January 2021 to July 2023)were retrospectively selected as research participants.Among them,134 received routine care intervention(routing group)and 66 received personalized and continuous care(intervention group).Self-rating anxiety scale(SAS),self-rating depression scale(SDS),and Functional Assessment of Cancer Therapy-Breast(FACT-B)scores,including limb shoulder joint activity,complication rate,and care satisfaction,were compared between both groups after care.RESULTS SAS and SDS scores were lower in the intervention group than in the routing group at one and three months after care.The total FACT-B scores and five dimensions in the intervention group were higher than those in the routing group at three months of care.The range of motion of shoulder anteflexion,posterior extension,abduction,internal rotation,and external rotation in the intervention group was higher than that in the routing group one month after care.The incidence of postoperative complications was 18.18%lower in the intervention group than in the routing group(34.33%;P<0.05).Satisfaction with care was 90.91% higher in the intervention group than in the routing group(78.36%;P<0.05).CONCLUSION Personalized and continuous care can alleviate negative emotions in patients with breast cancer,quicken rehabilitation of limb function,decrease the incidence of complications,and improve living quality and care satisfaction.

Personalized Health Monitoring Systems: Integrating Wearable and AI

The integration of wearable technologies and artificial intelligence (AI) has revolutionized healthcare, enabling advanced personal health monitoring systems. This article explores the transformative impact of wearable technologies and AI on healthcare, highlighting the development and theoretical application of the Integrated Personal Health Monitoring System (IPHMS). By integrating data from various wearable devices, such as smartphones, Apple Watches, and Oura Rings, the IPHMS framework aims to revolutionize personal health monitoring through real-time alerts, comprehensive tracking, and personalized insights. Despite its potential, the practical implementation faces challenges, including data privacy, system interoperability, and scalability. The evolution of healthcare technology from traditional methods to AI-enhanced wearables underscores a significant advancement towards personalized care, necessitating further research and innovation to address existing limitations and fully realize the benefits of such integrated health monitoring systems.

The Effect of Personalized Comprehensive Care on the Nursing Care of Severe Pneumonia Patients

Objective:To explore the value of receiving personalized comprehensive care for patients with severe pneumonia.Methods:73 patients with severe pneumonia who visited the clinic from February 2020 to February 2023 were included in this study.The patients were randomly grouped into Group A and Group B.Group A received personalized comprehensive care whereas Group B received conventional care.The value of care was compared.Results:The duration of mechanical ventilation time,the time taken for fever and dyspnea relief,and the hospitalization time of Group A were shorter than those in Group B(P<0.05).The blood gas indexes such as PaO_(2),PaCO_(2),and blood pH of Group A were better than those of Group B(P<0.05).The pulmonary function indexes such as peak expiratory flow(PEF),forced vital capacity(FVC),and forced expiratory volume in 1 second(FEV_(1))of Group A were better than those of Group B,P<0.05.Moreover,the patients in Group A were generally more satisfied with the care given compared to the patients in Group B(P<0.05).Conclusion:Personalized comprehensive care improves blood gas indexes,enhances lung function,accelerates the relief of symptoms,and also enhances patient satisfaction in severe pneumonia patients.

Metabolic Disorders Increase the Risk to Incident Cardiovascular Disease in Middle-aged and Elderly Chinese

Objective The association of metabolic syndrome （MetS） with cardiovascular diseases （CVD） has not been adequately explored in middle-aged and elderly Chinese. This study aimed to investigate MetS＇ prevalence and its impact on the CVD incidence in this specific population group. Methods A data set of a community-based prospective cohort study was analyzed. A total of 2300 subjects aged 40-94 years were followed up for the CVD events. MetS defined according to the JCDCG criteria was assessed at baseline, and the middle-aged and elderly groups were classified by the WHO definition. Results As compared with the middle-aged group, the prevalence of MetS increased by 0.6 times （34.6% vs. 21.3%） and the incidence density of CVD increased by 4.9 times in the elderly group （52.3/1000 person-year vs. 8.9/1000 person-year）. Furthermore, the multivariate Cox regression revealed that the risk to CVD incidence was independently related to increased waist circumference in the middle-aged group （HR=2.23, P〈0.01） and to elevated blood glucose in the elderly group （HR=1.39, P〈O.01）. Conclusion MetS was highly prevalent in middle-aged and elderly Chinese. MetS significantly increased the risk to OdD incidence in the elderly. All individuals with metabolic disorders should receive active clinical care to reduce the incidence of CVD.

Survey for late-onset hypogonadism among old anti middle-aged males in Shanghai communities

This study sought to investigate late-onset hypogonadism （LOH） in old and middle-aged males in Shanghai communities, using symptom score evaluation systems and measurements of sex hormone levels. One thousand cases of males aged 40-70 years were investigated. The aging male symptoms （AMS） scale and androgen deficiency in aging males （ADAM） questionnaire were used at the beginning of the investigation, followed by measurement of the sex hormone-related factors （total testosterone （TT）, free testosterone （fT）, sex hormone-binding globulin （SHBG） and bioavailability of testosterone （Bio-T））. There were 977 valid questionnaires. The LOH-positive rates shown by AMS and ADAM were 59.88% and 84.65%, respectively; values increased with the age of the patients. There were 946 results related to sex hormone measurements, which showed the following results： TT was not related to aging （P〉O.05）; levels of SHBG increased with age; and fT and Bio-T decreased with age. There was a significant difference in fT between LOH-positive and LOH-negative patients, as shown by the ADAM. In summary, TT levels were not related to aging, even though SHBG did increase while fT and Bio-T decreased with aging. Clinically, the diagnosis of LOH cannot be based on serum TT level.

Central Obesity and Metabolic Risk Factors in Middle-aged Chinese

Objective Central obesity is considered to be a central component of metabolic syndrome. Waist circumference （WC） has been widely used as a simple indicator of central obesity. This study is aimed to evaluate the sensitivity of WC cut-off values for predicting metabolic risk factors in middle-aged Chinese. Methods The study involved 923 subjects aged according to the Chinese Joint Committee for 40-65 years. The metabolic risk factors were defined Developing Chinese Guidelines on Prevention and Treatment of Dyslipidemia in Adults. WC cut-off 85-90 cm and 〉90 cm were used as cut-off values of central pre-obesity and central obesity in males, respectively, while WC 80-85 cm and 〉85 cm were used as cut-off values of central pre-obesity and central obesity in females. Results First, WC values corresponding to body mass index （BMI） 24 kg/m2 and visceral fat area （VFA） 80 cm2 were 88.55 cm and 88.51 cm in males, and 82.46 cm and 82.52 cm in females respectively. Second, receiver operating characteristic curves showed that the optimal WC cut-off of value was 88.75 cm in males, higher than that in females （81.75 cm）. Third, the subjects with higher WC values were more likely to have accumulating metabolic risk factors. The prevalence of metabolic risk factors increased linearly and significantly in relation to WC levels. Conclusion WC cut-off values of central pre-/central obesity are optimal to predict multiple metabolic risk factors.

Excessive 5-year weight gain predicts metabolic syndrome development in healthy middle-aged adults

AIM:To quantitatively examine the impacts of an easyto-measure parameter-weight gain-on metabolic syndrome development among middle-aged adults. METHODS:We conducted a five-year interval observational study.A total of 1384 middle-aged adults not meeting metabolic syndrome(MetS)criteria at the initial screening were included in our analysis.Baseline data such as MetS-components and lifestyle factors were collected in 2002.Body weight and MetS-components were measured in both 2002 and 2007.Participants were classified according to proximal quartiles of weight gain(WG)in percentages(%WG≤1%,1%< %WG≤5%,5%<%WG≤10%and%WG>10%, defined as:control,mild-WG,moderate-WG and severe-WG groups,respectively)at the end of the follow-up. Multivariate models were used to assess the association between MetS outcome and excessive WG in the total population,as well as in both genders. RESULTS:In total,175(12.6%)participants fulfilled MetS criteria within five years.In comparison to the control group,mild-WG adults had an insignificant risk for MetS development while adults having moderate-WG had a 3.0-fold increased risk for progression to MetS [95%confidence interval(CI),1.8-5.1],and this risk was increased 5.4-fold(95%CI,3.0-9.7)in subjects having severe-WG.For females having moderate-and severe-WG,the risk for developing MetS was 3.6(95% CI,1.03-12.4)and 5.5(95%CI,1.4-21.4),respectively. For males having moderate-and severe-WG,the odds ratio for MetS outcome was respectively 3.0(95%CI, 1.6-5.5)and 5.2(95%CI,2.6-10.2). CONCLUSION:For early-middle-aged healthy adults with a five-year weight gain over 5%,the severity of weight gain is related to the risk for developing metabolic syndrome.