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BACKGROUND: Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. METHODS: We analyzed data from 68.5 million persons to assess the trends in the prevalence of overweight and obesity among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and BMI in 195 countries between 1990 and 2015. RESULTS: In 2015, a total of 107.7 million children and 603.7 million adults were obese. Since 1980, the prevalence of obesity has doubled in more than 70 countries and has continuously increased in most other countries. Although the prevalence of obesity among children has been lower than that among adults, the rate of increase in childhood obesity in many countries has been greater than the rate of increase in adult obesity. High BMI accounted for 4.0 million deaths globally, nearly 40% of which occurred in persons who were not obese. More than two thirds of deaths related to high BMI were due to cardiovascular disease. The disease burden related to high BMI has increased since 1990; however, the rate of this increase has been attenuated owing to decreases in underlying rates of death from cardiovascular disease. CONCLUSIONS: The rapid increase in the prevalence and disease burden of elevated BMI highlights the need for continued focus on surveillance of BMI and identification, implementation, and evaluation of evidence-based interventions to address this problem. (Funded by the Bill and Melinda Gates Foundation.).

© 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors—the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6–58·8) of global deaths and 41·2% (39·8–42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Funding Bill & Melinda Gates Foundation.

The advance of object tracking technologies leads to huge volumes of spatiotemporal data collected in moving database. Hidden the moving database, there are many useful information and knowledge which could reveal the mobility behavior and surrounding conditions. In this paper, we focused on the problem of mining behavior pattern from time summarized moving data in which the temporal information is summarized in short period and represented by range values. Utilizing interval number calculating, we obtain time gap between any two consecutive records. Based on fuzzy set theory, we defined mobile behavior with fuzzy linguistic terms and corresponding support. Finally we proposed two mobile behavior mining algorithms improved by Apriori algorithm and PrefixSpan algorithm. The proposed methods are evaluated with extensive experiments on both real and synthetic datasets.

To identify the genes involved in cervical carcinogenesis, we applied the mRNA differential display method and identified a candidate tumor suppressor gene, HCCS-1, which was present in normal cervical tissue but absent in cervical cancer, metastatic lymph node and CUMC-6 cervical cancer cell line. HCCS-1 transcripts were expressed in many normal tissues including leukocyte, lung, spleen, liver, heart and uterine cervix. Its expression was absent in 8 human cancer cell lines. HCCS-1-transfected HeLa cells exhibited growth inhibition by about 50%. This inhibitory effect of HCCS-1 on cervical cancer cells was associated with apoptotic process including DNA fragmentation. HCCS-1-transfected HeLa cells were shown to release cytochrome c from mitochondria, which activates caspase-9 and -3 and finally results in cleavage of poly(ADP-ribose) polymerase. Apoptosis formation was detected by propidium-iodide/annexin V. HCCS-1-transfected HeLa cells were more sensitive to adriamycin or UVC ray triggered apoptosis. These results suggest that HCCS-1 is downregulated in multiple human tumor types and may serve as a candidate tumor suppressor gene through apoptotic pathway against human cervical cancer. © 2001 Wiley-Liss, Inc.

Tumor specimens obtained from 136 patients with primary carcinoma of the uterine cervix were analyzed for the presence of human papillomavirus (HPV) sequences and for mutation of the TP53 gene. Polymerase chain reaction (PCR) showed that 130 of 136 (96%) tumors contained an oncogenic HPV 16 or 18 sequence. HPV 16 was the predominant type in cervical squamous cell carcinomas and HPV 18 was significantly associated with cervical adenocarcinomas (p < 0.05). The more dedifferentiated the primary tumor, the more frequent the HPV 16 infection and the more differentiated, the more frequent the HPV 18 infection (p < 0.05). Two out of 136 (1.5%) tumors demonstrated single-strand conformation polymorphism (SSCP) band shifts. One (positive for HPV 18) had a nonsense mutation of codon 101 in exon 4 from AAA to TAA transversion. Another (positive for L1 consensus primer set) showed a point mutation involving codon 179 in exon 5 changing CAT to CGT transition. The three specimens negative for HPV did not contain TP53 gene mutations. Our data show that mutation of TP53 is infrequent in primary cervical carcinoma and there is no inverse correlation between HPV infection and TP53 gene mutation. Other mechanisms independent of TP53 inactivation may also be implicated in tumorigenesis of the uterine cervix.