A national study on the prevalence and factors associated with smoking amongst Malaysians aged 18 years and above

A cross-sectional study was conducted in Malaysia with the objectives of determining the prevalence of smoking in Malaysia, reasons for starting to smoke, age first started to smoke, duration of smoking and to determine the relationship between smoking and age, sex, race, education level, peer influence and parental smoking status. Methods: All residents aged 18 years and above from selected households were included in this study. A standardised pre-tested structured questionnaire was used in this study. Results: The results showed that the overall mean age of the 17, 246 respondents was 38.8 (95% CI= 38.5 - 39.2) years with a range of 18 - 100 years. The majority were Malays (55.5%) followed by Chinese (21.2%) and Indians (11.2%). The age, sex and ethnicity adjusted prevalence of ever and current smokers were 32.0% and 24.9% respectively. The prevalence of ever and current smokers for males was 59.3% and 47.2% respectively. For the females, the prevalence of ever and CUlTentsmokers was 4.8% and 2.7% respectively. The highest ethnicity adjusted prevalence of current smokers was in Malays (28.9%), followed by the Chinese (18.7%). The lowest prevalence was amongst the Indians (16.8%). The highest prevalence of current smokers was found in Kelantan (30.2%), Terengganu (29.7%), Pahang (28.7%) and Kedah (26.9%); the lowest prevalence was in Kuala Lumpur, Federal Teritory (20.4%). The overall mean initiation age of current smokers was 19.2 years (95% CI = 19.1, 19.4 years). The mean initiation age of male current smokers was significantly lower (18.9 years) compared to female current smokers (24.1 years). The mean duration of smoking amongst the current smokers was 18.6 years. Males smoked significantly more cigarettes than the females ( p < 0.00 I). D isc u ssio n : Multivariate logistic regression analysis showed that smoking was significantly associated with age, sex, ethnicity, educational level and peer and family influence

Self-esteem and its associated factors among secondary school students in Klang District, Selangor.

Self-esteem is an important determinant of psychological well-being that is particularly problematic during adolescent life stage. There is a correlation between low self-esteem and other social problems among today's adolescents. This study was conducted to determine the mean self-esteem score, and to determine the association between self-esteem and age, sex, race, religion, number of siblings, ranking among siblings, family function, parental marital status and smoking among adolescents aged 12 to 20-years-old. A cross sectional study design using random cluster sampling method was done. Four out of a total of 35 secondary schools in Klang District, Selangor were selected. Respondents consisted of individual students in selected classes from the four selected schools. Data was collected using a self-administered, structured, pre-tested questionnaire and was analyzed using the SPSS version 12.0. Out of 1089 respondents, 793 completed the questionnaire (response rate 73.82%). The overall mean self-esteem score was 27.65. The mean self-esteem score for males (27.99) was slightly higher than females (27.31). The differences in the mean scores by race were statistically significant. There was a statistically significant relationship between mean self-esteem scores and sex, age, race, religion, number of siblings, smoking and family function. There was no statistically significant difference between mean self-esteem score with parental marital status and with ranking among siblings. The overall mean self-esteem score was 27.65. Self-esteem was associated with sex, age, race, religion, number of siblings, smoking and family function

Quantifying the impact of an inference model in Bayesian phylogenetics

Phylogenetic trees are currently routinely reconstructed from an alignment of character sequences (usually nucleotide sequences). Bayesian tools, such as MrBayes, RevBayes and BEAST2, have gained much popularity over the last decade, as they allow joint estimation of the posterior distribution of the phylogenetic trees and the parameters of the underlying inference model. An important ingredient of these Bayesian approaches is the species tree prior. In principle, the Bayesian framework allows for comparing different tree priors, which may elucidate the macroevolutionary processes underlying the species tree. In practice, however, only macroevolutionary models that allow for fast computation of the prior probability are used. The question is how accurate the tree estimation is when the real macroevolutionary processes are substantially different from those assumed in the tree prior. Here we present pirouette, a free and open-source r package that assesses the inference error made by Bayesian phylogenetics for a given macroevolutionary diversification model. pirouette makes use of BEAST2, but its philosophy applies to any Bayesian phylogenetic inference tool. We describe pirouette's usage providing full examples in which we interrogate a model for its power to describe another. Last, we discuss the results obtained by the examples and their interpretation

Provision of adolescent reproductive and sexual health services in India: Provider perspectives

The recently launched Rashtriya Kishor Swasthya Karyakram (RKSK) program seeks to enable all adolescents and youth to realize their full potential by making informed decisions concerning their health and well-being and by accessing the services and support they need to implement their decisions. To realize this vision, the RKSK framework acknowledges the strengthening of Adolescent Friendly Health Clinics (AFHCs) and providing correct knowledge and information through counseling services as two of its seven critical components. As the government makes an effort to roll out the RKSK program at scale across the country, reviewing the experiences of the AFHCs established under the National Adolescent Reproductive and Sexual Health Strategy, the predecessor of RKSK, can provide useful lessons. With this in view, at the request of the Ministry of Health and Family Welfare, the Population Council conducted an assessment of AFHCs from the perspectives of adolescents and youth and of health care providers in three states in India. This report presents the findings of the study conducted among health care providers

The National Pediatric Surgery Simulation Program in France: A tool to develop resident training in pediatric surgery

BACKGROUND/PURPOSE: To implement resident curriculum in France based on theoretical teaching and bed side training, the national council known as the "Collège Hospitalier et Universitaire de Chirurgie Pédiatrique" examined the relevance and feasibility of systematically introducing simulation program in the pediatric surgery resident training. MATERIAL AND METHODS: A national simulation training program was developed and took place in a 2-day session organized in 7 simulation centers in France. The program included technical (laparoscopic/suturing technique on low-fidelity models) and nontechnical (6 scenarios for standardized consultation, and a team work scenario based on errors prevention in the operative room) skills. Evaluation of the program (Likert scale from 1 (bad) to 5 (excellent) and notation on 20 points) concerned trainees and trainers. RESULTS: 40 residents (95% of all pediatric surgery French residents) attended with a ratio of trainees/trainer of ½. The training objectives earned a score of 4.46/5. The pedagogical value of the seminar scored 4.7/5, teaching quality 17.95/20, and the overall seminar score was 17.35/20. CONCLUSION: This program, unique nationally, was assessed very favorably by the participating residents and by the involved trainers. To our knowledge, it represents the first mandatory national simulation training program included within a surgical training model. LEVEL OF EVIDENCE: Level IV

Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony

This article describes the observation techniques and suggests processing methods to estimate dynamical sea-ice parameters from data of the Earth Explorer 10 candidate Harmony. The two Harmony satellites will fly in a reconfigurable formation with Sentinel-1D. Both will be equipped with a multi-angle thermal infrared sensor and a passive radar receiver, which receives the reflected Sentinel-1D signals using two antennas. During the lifetime of the mission, two different formations will be flown. In the stereo formation, the Harmony satellites will fly approximately 300 km in front and behind Sentinel-1, which allows for the estimation of instantaneous sea-ice drift vectors. We demonstrate that the addition of instantaneous sea-ice drift estimates on top of the daily integrated values from feature tracking have benefits in terms of interpretation, sampling and resolution. The wide-swath instantaneous drift observations of Harmony also help to put high-temporal-resolution instantaneous buoy observations into a spatial context. Additionally, it allows for the extraction of deformation parameters, such as shear and divergence. As a result, Harmony's data will help to improve sea-ice statistics and parametrizations to constrain sea-ice models. In the cross-track interferometry (XTI) mode, Harmony's satellites will fly in close formation with an XTI baseline to be able to estimate surface elevations. This will allow for improved estimates of sea-ice volume and also enables the retrieval of full, two-dimensional swell-wave spectra in sea-ice-covered regions without any gaps. In stereo formation, the line-of-sight diversity allows the inference of swell properties in both directions using traditional velocity bunching approaches. In XTI mode, Harmony's phase differences are only sensitive to the ground-range direction swell. To fully recover two-dimensional swell-wave spectra, a synergy between XTI height spectra and intensity spectra is required. If selected, the Harmony mission will be launched in 2028

When can species abundance data reveal non-neutrality?

Species abundance distributions (SAD) are probably ecology's most well-known empirical pattern, and over the last decades many models have been proposed to explain their shape. There is no consensus over which model is correct, because the degree to which different processes can be discerned from SAD patterns has not yet been rigorously quantified. We present a power calculation to quantify our ability to detect deviations from neutrality using species abundance data. We study non-neutral stochastic community models, and show that the presence of non-neutral processes is detectable if sample size is large enough and/or the amplitude of the effect is strong enough. Our framework can be used for any candidate community model that can be simulated on a computer, and determines both the sampling effort required to distinguish between alternative processes, and a range for the strength of non-neutral processes in communities whose patterns are statistically consistent with neutral theory. We find that even data sets of the scale of the 50 Ha forest plot on Barro Colorado Island, Panama, are unlikely to be large enough to detect deviations from neutrality caused by competitive interactions alone, though the presence of multiple non-neutral processes with contrasting effects on abundance distributions may be detectable

Microbiome and environment explain the absence of correlations between consumers and their diet in Bornean microsnails

Classical ecological theory posits that species partition resources such that each species occupies a unique resource niche. In general, the availability of more resources allows more species to co‐occur. Thus, a strong relationship between communities of consumers and their resources is expected. However, correlations may be influenced by other layers in the food web, or by the environment. Here we show, by studying the relationship between communities of consumers (land snails) and individual diets (from seed plants), that there is in fact no direct, or at most a weak but negative, relationship. However, we found that the diversity of the individual microbiome positively correlates with both consumer community diversity and individual diet diversity in three target species. Moreover, these correlations were affected by various environmental variables, such as anthropogenic activity, habitat island size, and a possibly important nutrient source, guano runoff from nearby caves. Our results suggest that the microbiome and the environment explain the absence of correlations between diet and consumer community diversity. Hence, we advocate that microbiome inventories are routinely added to any community dietary analysis, which our study shows can be done with relatively little extra effort. Our approach presents the tools to quickly obtain an overview of the relationships between consumers and their resources. We anticipate our approach to be useful for ecologists and environmentalist studying different communities in a local food web

MARIMO cells harbor a CALR mutation but are not dependent on JAK2/STAT5 signaling.

Work in the Green lab is supported by Leukemia and Lymphoma Research, Cancer Research UK, the NIHR Cambridge Biomedical Research Centre, the Cambridge Experimental Cancer Medicine Centre, and the Leukemia and Lymphoma Society of America. WW is supported by the Austrian Science Foundation (J 3578-B21). JN is supported by a Kay Kendall Leukaemia Clinical Fellowship.This is the final published version. It first appeared at http://www.nature.com/leu/journal/vaop/ncurrent/full/leu2014285a.html

Direct estimation of genome mutation rates from pedigrees in free-ranging baleen whales

Current low germline mutation rate (&#x1d707;) estimates in baleen whales have greatly influenced research ranging from assessments of whaling impacts to evolutionary cancer biology. However, the reported rates were subject to methodological errors and uncertainty. We estimated &#x1d707; directly from pedigrees in natural populations of four baleen whale species and the results were similar to primates. The implications of revised &#x1d707; values include pre-exploitation population sizes at 14% of previous genetic diversity-based estimates and the conclusion that &#x1d707; in itself is insufficient to explain low cancer rates in gigantic mammals (i.e., Peto’s Paradox). We demonstrate the feasibility of estimating &#x1d707; from whole genome pedigree data in natural populations, which has wide-ranging implications for the many ecological and evolutionary inferences that rely on &#x1d707;