background: there are few articles studding the factors associated with successful smoking cessation in iranian smokers. the aim of this study is to clarify the association between socio‑demographic factors and smoking behavior, such as number of failed smoking cessation and duration of abstinence in iranian population. methods: a self‑administered questionnaire survey of 673 participants was c...

background: the main objective of this study was to evaluate the prevalence of the obesity and the related risk factors in the north of iran. methods : this was a population-based cross-sectional study that enrolled 2495 subjects (1247 males and 1248 females) using stratified cluster sampling. interviewers recorded the data using a multidimensional questionnaire including anthropometric indexes...

background: estimating the burden of non-communicable diseases particularly cardiovascular disease (cvd) is essential for health management and policymaking. in this paper, we used a regression model to estimate the future impact of demographic changes on the burden of cvd in iran during the next two decades. methods: disability-adjusted life years (daly) were used to estimate the future burden...

childhood obesity and overweight are a general public health concern in a transition society. thus, the objective of the study was to determine the prevalence of overweight, obesity and their correlates with socio-demographic and life style related factors.this cross-sectional study was conducted on 760 representative samples of preschool children aged 2 to 5 years in urban area of babol, north...

OBJECTIVE This study aims to evaluate the process of decision-making in patients with obsessive-compulsive disorder (OCD) using the Iowa Gambling Task (IGT). In addition, we intend to expand the understanding of clinical and demographic characteristics that influence decision-making. METHOD Our sample consisted of 214 subjects (107 diagnosed with OCD and 107 healthy controls) who were evaluat...

We show that people’s travel destinations are predictable based on simple features of their home and destination. Using geotagged Twitter data from over 200,000 people in the U.S., with a median of 10 visits per user, we use machine learning to classify whether or not a person will visit a given location. We find that travel distance is the most important predictive feature. Ignoring distance, ...

Populations that are structured into small local patches are a common feature of ecological and epidemiological systems. Models describing this structure are often referred to as metapopulation models in ecology or household models in epidemiology. Small local populations are subject to demographic stochasticity. Theoretical studies of household disease models without resistant stages (SIS mode...

In order to carry out demographic analyses at individual and group levels, a manual method of linking individual event records from parish registers was developed in the late 1950s. In order to save time and to work with larger areas than small parishes, systems for automatic record linkage were developed a couple of decades later. A third method, an interactive record linkage, named Demolink, ...