793 resultados para Tobacco consumption


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Combining human-computer interaction and urban informatics, this design research developed and tested novel interfaces offering users real-time feedback on their paper and energy consumption. Findings from deploying these interfaces in both domestic and office environments in Australia, the UK, and Ireland, will innovate future generations of resource monitoring technologies. The study draws conclusions with implications for government policy, the energy industry, and sustainability researchers.

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MOST PAN stages in Australian factories use only five or six batch pans for the high grade massecuite production and operate these in a fairly rigid repeating production schedule. It is common that some of the pans are of large dropping capacity e.g. 150 to 240 t. Because of the relatively small number and large sizes of the pans, steam consumption varies widely through the schedule, often by ±30% about the mean value. Large fluctuations in steam consumption have implications for the steam generation/condensate management of the factory and the evaporators when bleed vapour is used. One of the objectives of a project to develop a supervisory control system for a pan stage is to (a) reduce the average steam consumption and (b) reduce the variation in the steam consumption. The operation of each of the high grade pans within the schedule at Macknade Mill was analysed to determine the idle (or buffer) time, time allocations for essential but unproductive operations (e.g. pan turn round, charging, slow ramping up of steam rates on pan start etc.), and productive time i.e. the time during boil-on of liquor and molasses feed. Empirical models were developed for each high grade pan on the stage to define the interdependence of the production rate and the evaporation rate for the different phases of each pan’s cycle. The data were analysed in a spreadsheet model to try to reduce and smooth the total steam consumption. This paper reports on the methodology developed in the model and the results of the investigations for the pan stage at Macknade Mill. It was found that the operation of the schedule severely restricted the ability to reduce the average steam consumption and smooth the steam flows. While longer cycle times provide increased flexibility the steam consumption profile was changed only slightly. The ability to cut massecuite on the run among pans, or the use of a high grade seed vessel, would assist in reducing the average steam consumption and the magnitude of the variations in steam flow.

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Introduction and aims: Despite evidence that many Australian adolescents have considerable experience with various drug types, little is known about the extent to which adolescents use multiple substances. The aim of this study was to examine the degree of clustering of drug types within individuals, and the extent to which demographic and psychosocial predictors are related to cluster membership. Design and method: A sample of 1402 adolescents aged 12-17. years were extracted from the Australian 2007 National Drug Strategy Household Survey. Extracted data included lifetime use of 10 substances, gender, psychological distress, physical health, perceived peer substance use, socioeconomic disadvantage, and regionality. Latent class analysis was used to determine clusters, and multinomial logistic regression employed to examine predictors of cluster membership. Result: There were 3 latent classes. The great majority (79.6%) of adolescents used alcohol only, 18.3% were limited range multidrug users (encompassing alcohol, tobacco, and marijuana), and 2% were extended range multidrug users. Perceived peer drug use and psychological distress predicted limited and extended multiple drug use. Psychological distress was a more significant predictor of extended multidrug use compared to limited multidrug use. Discussion and conclusion: In the Australian school-based prevention setting, a very strong focus on alcohol use and the linkages between alcohol, tobacco and marijuana are warranted. Psychological distress may be an important target for screening and early intervention for adolescents who use multiple drugs.

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Human cytochrome P450 (P450) enzymes are involved in the oxidation of natural products found in foods, beverages, and tobacco products and their catalytic activities can also be modulated by components of the materials. The microsomal activation of aflatoxin B1 to the exo-3,9-epoxide is stimulated by flavone and 7,8-benzoflavone, and attenuated by the flavonoid naringenin, a major component of grapefruit. P4502E1 has been demonstrated to play a potentially major role in the activation of a number of very low-molecular weight cancer suspects, including ethyl carbamate (urethan), which is present in alcoholic beverages and particularly stone brandies. The enzyme (P4502E1) is also known to be inducible by ethanol. Tobacco contains a large number of potential carcinogens. In human liver microsomes a significant role for P4501A2 can be demonstrated in the activation of cigarette smoke condensate. Some of the genotoxicity may be due to arylamines. P4501A2 is also inhibited by components of crude cigarette smoke condensate. The tobacco-specific nitrosamines are activated by a number of P450 enzymes. Of those known to be present in human liver, P4501A2, 2A6, and 2E1 can activate these nitrosamines to genotoxic products.

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Alcohol consumption and tobacco smoking are major causes of head and neck cancers, and regional differences point to the importance of research into gene-environment interactions. Much interest has been focused on polymorphisms of CYP1A1 and of GSTM1 and GSTT1, but a number of studies have not demonstrated significant effects. This has mostly been ascribed to small sample sizes. In general, the impact of polymorphisms of metabolic enzymes appears inconsistent, with some reports of weak-to-moderate associations, and with others of no elevation of risks. The classical cytochrome P450 isoenzyme considered for metabolic activation of polycyclic aromatic hydrocarbons (PAH) is CYP1A1. A new member of the CYP1 family, CYP1B1, was cloned in 1994, currently representing the only member of the CYP1B subfamily. A number of single nucleotide polymorphisms of the CYP1B1 gene have been reported. The amino acid substitutions Val432Leu (CYP1B1*3) and Asn453Ser (CYP1B1*4), located in the heme binding domain of CYP1B1, appear as likely candidates to be linked with biological effects. CYP1B1 activates a wide range of PAH, aromatic and heterocyclic amines. Very recently, the CYP1B1 codon 432 polymorphism (CYP1B1*3) has been identified as a susceptibility factor in smoking-related head-and-neck squamous cell cancer. The impact of this polymorphic variant of CYP1B1 on cancer risk was also reflected by an association with the frequency of somatic mutations of the p53 gene. Combined genotype analysis of CYP1B1 and the glutathione transferases GSTM1 or GSTT1 has pointed to interactive effects. This provides new molecular evidence that tobacco smoke-specific compounds relevant to head and neck carcinogenesis are metabolically activated through CYP1B1 and is consistent with a major pathogenetic relevance of PAH as ingredients of tobacco smoke.

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Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cause of cancer mortality in the world and the 5th most commonly occurring cancer. Tobacco smoking, alcohol consumption and human papilloma virus (HPV) infections have been associated with the occurrence of HNSCC. Despite advances that have been made in HNSCC treatment, smoking-associated HNSCC patients still exhibit a poor 5 year survival rate (30-50 %) and a concomitant poor quality of life. The major clinical challenge to date lies in the early detection of dysplastic lesions,which can progress to malignancy. In addition, there are currently no tools available to monitor HNSCC patients for early stages of local recurrences or distant metastases. In the recent past, micro-RNAs (miRNA) have been assessed for their role in cancer initiation and progression, including HNSCC. It is now well-established that deregulation of these single stranded, small non-coding, 19-25 nt RNAs can e.g. enhance the expression of oncogenes or subdue the expression of tumor suppressor genes. The aims of this review are three-fold: first to retrieve from the literature miRNAs that have specifically been associated with HNSCC, second to group these miRNAs into those regulating tumor initiation, progression and metastasis, and third to discern miRNAs related to smoking-associated HNSCC versus HPV-associated HNSCC development. This review gives an overview on the miRNAs regulating the development of head and neck cancers. The ultimate establishment of miRNA expression profiles that are HNSCC specific, and miRNAs that orchestrate altered gene and protein expression levels in HNSCC, could pave the way for a better understanding of the mechanism underlying its pathogenesis and the development of novel, targeted therapies.

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Social marketers and governments have often targeted hard to reach or vulnerable groups (Gordon et al., 2006) such as young adults and low income earners. Past research has shown that low-income earners are often at risk of poor health outcomes and diminished lifestyle (Hampson et al., 2009; Scott et al., 2012). Young adults (aged 18 to 35) are in a transition phase of their life where lifestyle preferences are still being formed and are thus a useful target for long-term sustainable change. An area of focus for all levels of government is the use of energy with an aim to reduce consumption. There is little research to date that combines both of these groups and in particular in the context of household energy usage. Research into financially disadvantaged consumers is challenging the notion that that low income consumer purchasing and usage of products and services is based upon economic status (Sharma et al., 2012). Prior research shows higher income earners view items such as televisions and computers as necessities rather than non-essential (Karlsson et al., 2004). Consistent with this is growing evidence that low income earners purchase non-essential, energy intensive electronic appliances such as multiple big screen TV sets and additional refrigerators. With this in mind, there is a need for knowledge about how psychological and economic factors influence the energy consumption habits (e.g. appliances on standby power, leaving appliances turned on, running multiple devices at one time) of low income earners. Thus, our study sought to address the research question of: What are the factors that influence young adult low-income earners energy habits?

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Head and neck cancers are some of the leading cancers in the coloured and black South African male population and the perception exists that the incidence rates are rising. Aims: To determine the standardised morbidity rates and some of the risk factors for oral cancer in South Africa. Methods: Using histologically verified data from the National Cancer Registry, the age standardised incidence rates (ASIR) and life-time risks (LR) of oral cancer in South Africa were calculated for 1988-1991.2. In an ongoing case control study (1995 +) among black patients in Johannesburg/Soweto, adjusted odds ratios for developing oral cancers in relation to tobacco and alcohol consumption were calculated. Results: Coloured males vs. females: ASIR 13.13 vs. 3.5 (/100,000/year), LR 1:65 vs. 1:244. Black males vs. females: ASIR 9.06 vs. 1.75, LR 1:86 and 1:455. White males vs. females: ASIR 8.06 vs. 3.18, LR 1:104 vs. 1:278. Asian males vs. females: ASIR 5.24 vs. 6.66, LR 1:161 vs. 1:125. The odds ratio for oral cancer in black males in relation to smoking was 7.0 (95% CI 3.0-14.6) and daily alcohol consumption 1.3 (95% CI 0.6-2.8). In black females the odds ratios in relation to smoking were 3.9 (95% CI 1.7 8.9) and daily alcohol consumption 1.7(95% CI 0.7-4.1). Conclusions: The risk factors for oral cancer in South Africa are multiple and gender discrepancies in ASIR and LR signal differences in exposure to carcinogens. It is unclear whether the incidence of oral cancers will rise in the future.

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The authors used data collected from 1995 to 1999, from an on-going cancer case–control study in greater Johannesburg, to estimate the importance of tobacco and alcohol consumption and other suspected risk factors with respect to cancer of the oesophagus (267 men and 138 women), lung (105 men and 41 women), oral cavity (87 men and 37 women), and larynx (51 men). Cancers not associated with tobacco or alcohol consumption were used as controls (804 men and 1370 women). Tobacco smoking was found to be the major risk factor for all of these cancers with odds ratios ranging from 2.6 (95% CI 1.5–4.5) for oesophageal cancer in female ex-smokers to 50.9 (95% CI 12.6–204.6) for lung cancer in women, and 23.9 (95% CI 9.5–60.3) for lung cancer and 23.6 (95% CI 4.6–121.2) for laryngeal cancer in men who smoked 15 or more grams of tobacco a day. This is the first time an association between smoking and oral and laryngeal cancers has been shown in sub-Saharan Africa. Long-term residence in the Transkei region in the southeast of the country continues to be a risk factor for oesophageal cancer, especially in women (odds ratio=14.7, 95% CI 4.7–46.0), possibly due to nutritional factors. There was a slight increase in lung cancer (odds ratio=2.9, 95% CI 1.1–7.5) in men working in ‘potentially noxious’ industries. ‘Frequent’ alcohol consumption, on its own, caused a marginally elevated risk for oesophageal cancer (odds ratio=1.7, 95% CI 1.0–2.9, for women and odds ratio=1.8, 95% CI 1.2–2.8, for men). The risks for oesophageal cancer in relation to alcohol consumption increased significantly in male and female smokers (odds ratio=4.7, 95% CI=2.8–7.9 in males and odds ratio=4.8, 95% CI 3.2–6.1 in females). The above results are broadly in line with international findings.

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Objective To determine smoking patterns in South Africa, and to identify groups requiring culturally appropriate smoking cessation programmes. Methods A random sample of 13 826 people (415 years), was interviewed to identify tobacco use patterns and respiratory symptoms. Peak expiratory flow rates were measured. Multinomial regression analyses identified sociodemographic factors related to tobacco use, and the latter’s association with respiratory conditions. Results In 1998, 24.6% adults (44.2% of males and 11.0% of females) smoked regularly. Coloured women had a higher rate (39%) than African women (5.4%). About 24% of the regular smokers had attempted to quit, with only 9.9% succeeding. African women (13.2%) used smokeless tobacco more frequently than others. Of the nonsmokers 28% and 19% were exposed to environmental tobacco smoke in their homes and workplaces, respectively. The regression analysis showed that the demographic characteristics of light smokers (1–14 tobacco equivalents per day) and heavy smokers (>=15 tobacco equivalents per day) differed. Light smoking occurred significantly more frequently in the poorest, least educated and urban people. The relative risk for light smoking was 18 in Coloured women compared with African women. Heavy smoking occurred most frequently in the highest educated group. A dose–response was observed between the amount smoked and the presence of respiratory diseases. Conclusions Smoking in South Africa is decreasing and should continue with the recently passed tobacco control legislation. Culturally appropriate tobacco cessation programmes for the identified target groups need to be developed.