Haemochromatosis patients' research priorities: Towards an improved quality of life.

BACKGROUND: Chronic diseases are associated with a range of functional and psychosocial consequences that can adversely affect patients' quality of life (QoL). Haemochromatosis (HC) is a genetically heterogeneous disorder characterized by chronic iron overload that can ultimately lead to multiple organ dysfunction. Clinical diagnosis remains challenging due to the nonspecificity of symptoms and a lack of confirmatory genotyping in a substantial proportion of patients. Illness perception among HC patients has not been extensively investigated, lacking relevant information on how to improve their QoL. METHODS: We present the results of the first worldwide survey conducted in nearly 1500 HC respondents, in which we collected essential demographic information and identified the aspects that concern HC patients the most. RESULTS: Out of all the participants, 45.3% (n = 676) voiced their concern about physical and psychological consequences such as HC-related arthropathies, which can ultimately affect their social functioning. A similar proportion of patients (n = 635, 42.5%) also consider that better-informed doctors are key for improved HC disease management. Taking a patient-centred approach, we expose differences in patients' disease perspective by social and economic influences. CONCLUSIONS: We identify potential targets to improve patients' health-related QoL and reflect on strategic measures to foster gender equity in access to health resources. Finally, we make a call for a highly coordinated effort across a range of public policy areas to empower participants in the HC research process and design. PATIENT OR PUBLIC CONTRIBUTION: Nearly 1500 patients with hereditary HC responded to an anonymized online survey in which research and clinical priorities were addressed regarding this chronic and rare disease.

Association between Leisure Screen Time and Emotional and Behavioral Problems in Spanish Children.

OBJECTIVE: To assess the relation between leisure screen time and emotional and behavioral problems in Spanish children aged 4-14 years. STUDY DESIGN: This cross-sectional study used a representative sample of children aged 4-14 years included in the 2017 Spanish National Health Survey (n = 4073). Emotional and behavioral problems of children were assessed through the parent-report Strengths and Difficulties Questionnaire. Daily leisure screen time in minutes was categorized as 0-59, 60-119, 120-179, and ≥180. We calculated adjusted prevalence ratios (aPR) and their 95% CIs of being at risk of developing emotional and behavioral problems. Associations were adjusted for potential confounding variables. RESULTS: Children spending 180 minutes or more of daily leisure screen time compared with children spending less than 1 hour were more likely to be at risk of developing emotional and behavioral problems: aPR≥180: 2.19 (95% CI 1.53-3.14), emotional symptomology: aPR≥180: 2.09 (95% CI 1.37-3.18), conduct problems aPR≥180: 1.85 (95% CI 1.34-2.54), peer problems aPR≥180: 1.78 (95% CI 1.15-2.75), and to behave less prosocially: aPR≥180: 2.20 (95% CI 1.43-3.37). CONCLUSIONS: We have found significant associations between daily leisure screen time and emotional and behavioral problems in Spanish children between 6 and 14 years of age. However, these findings should be confirmed in cohort studies, so institutions might consider including screen time as a new risk factor for children.

Analysis in the ethical decision-making of dental, nurse and physiotherapist students, through case-based learning.

INTRODUCTION: Training in ethical competencies is perceived with special interest among the objectives of health education. The dimensions of the person such as integrity, autonomy and dignity influence the choice of interventions, but the different specialties of the health sciences conceive these dimensions with different perspectives depending on the clinical setting. These divergences can be detected during the first years of undergraduate studies, and it is important to know the professional bias and its possible causes. MATERIALS AND METHODS: A procedure was developed through case-based learning (CBL) to assess various characteristics of decision-making during the early stages of student training. A semi-quantitative method was designed based on the narrative responses of a case with ethical implications in the field of gender violence. The method was applied to 294 undergraduate students in nursing (95), physiotherapy (109) and dentistry (90) from the Faculty of Health Sciences of a Spanish university. A frequency analysis of the narrative responses of the students to the proposed case was carried out, using the chi-square test to determine any association between the variables studied: gender, specialty and ethical knowledge. RESULTS: Four types of response categories were detected, as a result of combining the personal conversation, report to legal authority or require assistance of other teams. The most common option in dentists is conversation only, while physical therapists include the assistance of other teams. In nursing, a balance is observed between both possibilities. The results show that student responses differ significantly among specialties and also differ significantly according to test scores on ethical knowledge. However, no significant differences were found between the responses provided by men and women. CONCLUSION: Most of the health sciences students highly valued their own capacity for dialogue and reflection to approach situations with complex ethical dimensions. We consider that case-based learning (CBL), in combination with narrative analysis is a valid means of evaluating the professional ethical competencies of students in health sciences careers applied to a common goal.

Association of screen time and sleep duration among Spanish 1-14 years old children.

BACKGROUND: Due to the change in screen time usage in the last decade, there is needed to add more evidence about the relationship of screen time and sleep duration. OBJECTIVE: To assess the association between screen time and sleep duration among Spanish children between 1 and 14 years old. METHODS: We used data from the 2017 Spanish National Health survey, conducted on a representative sample of the Spanish population. We categorised daily leisure screen time as 0-59, 60-119, 120-179, and ≥180 minutes. We classified sleep duration, depending on the age, as proper sleep duration and short sleep duration. We calculated unadjusted, and adjusted prevalence ratio (PR) and 95% confidence interval (CI) of short sleep duration according to daily leisure screen time after adjusting for potential confounders. PR's were derived from fitting generalised linear models with Poisson distribution and robust variance. RESULTS: Of the 5517 Spanish children aged 1-14 years, 44.3% spent 120 minutes or more of daily leisure screen time and 23.6% had short sleep duration. 24.5% and 28.2% of children spending between 120 and 179 minutes and exceeding 180 minutes of daily leisure screen time suffered short sleep duration, respectively. In the adjusted model, higher patterns of daily leisure screen time were associated with short sleep duration: adjusted PR120-179  = 1.34 (95% CI 1.18, 1.54) and adjusted PR≥180  = 1.48 (95% CI 1.27, 1.73). CONCLUSIONS: Around one out of four Spanish children between 1 and 14 years old, exceeding 120 minutes of daily leisure screen time, had short sleep duration. More scientific research is needed for institutions to work on providing novel healthcare programmes that consider these new determinants of child health.

Third-hand exposure at homes: Assessment using salivary cotinine.

BACKGROUND/OBJECTIVES: While exposure to secondhand smoke (SHS) is a well-established problem, exposure to third-hand smoke (THS) is scanty known and needs to be studied. The objective of this work is to characterize salivary cotinine concentrations among people who self-reported exposure to SHS and THS at home. METHODS: Cross-sectional study of a representative sample (n = 736) of the adult population (≥16 years) from the city of Barcelona carried out in 2013-2014. A questionnaire on tobacco use and passive exposure was administered, and a saliva sample was collected for cotinine determination. For this study, the information of the non-smoker participants who provided saliva sample (n = 519) was used. The geometric means (GM) and geometric standard deviations (GSD) of the cotinine concentration were compared according to the type of self-reported exposure at home: (1) Not exposed to SHS or THS; (2) Exposed to SHS and THS; and (3) Only exposed to THS. We used log-linear models to compare the cotinine concentration of each exposed group with respect to the unexposed group, adjusting for sex, age, educational level, and tobacco exposure in other settings. RESULTS: The GM of the salivary cotinine concentration was 0.34 ng/ml (GSD = 0.16) among individuals reporting SHS and THS exposure, 0.22 ng/ml (GSD = 0.15) among those reporting only THS exposure and 0.11 ng/ml (GSD = 0.04) among those who declared not to be exposed to SHS nor THS (p-value for trend <0.001). The regression model showed a statistically significant increase in cotinine concentration among those exposed to SHS and THS (188% higher, 95% CI: 153%; 223%), and only exposed to THS (106% higher, IC95. %: 74.5%; 137.0%) when comparing with the unexposed group. No statistically significant differences in cotinine concentration were observed between those exposed to SHS and THS compared to the THS group (-25.8%, 95% CI: -69.5%; 17.9%). CONCLUSIONS/RECOMMENDATIONS: People exposed to third-hand smoke at home had quantifiable cotinine levels in saliva. No differences in cotinine levels were found between those exposed to second-hand and third-hand smoke at home. The reduction of exposure to third-hand smoke at home should be put into the agenda of tobacco control.

Prevalence and determinants of metabolic syndrome in Spanish salaried workers: evidence from 15 614 men and women.

OBJECTIVE: To describe the prevalence of Spanish workers with Metabolic Syndrome (MetS) and those at risk of developing MetS in 2015. METHODS: Cross-sectional study of workers (n = 15 614). We used a modified definition of the NCEP:ATPIII criteria for MetS (we used body mass index (BMI) above 28.8 kg/m2 instead of the waist circumference criterion). We calculated the prevalence of MetS (having at least three components) and of being at risk of MetS (having one or two components). We calculated adjusted odds ratios (aOR) of MetS according to socio-economic and workplace characteristics. RESULTS: The proportions of workers with and at risk of MetS were 7.1 and 31.9%, respectively. The most prevalent criterion was having a BMI > 28.8 kg/m2 (24.1%) in men and cHDL < 40 mg/dl in women (12.9%). There were significant associations between MetS and men (aOR compared to women = 3.73, CI 95%: 3.19; 4.36); age (higher among oldest, aOR = 5.75, CI 95%: 4.37;7.56); and social class (higher among lower social class, aOR = 2.03, CI 95%: 1.65;2.48). CONCLUSION: Reducing any of the five MetS components, while taking into account the differences found by socio-economic and workplace characteristics, should be one priority for reducing MetS prevalence.

Relation between tobacco control policies and population at high risk of lung cancer in the European Union.

INTRODUCTION: Lung cancer accounts for nearly 2 million deaths per year worldwide, the majority of cases due to smoking as the main risk factor associated. The aim of this study was to assess the relation between the level of implementation of tobacco control policies and the population at high risk of lung cancer in the European Union (EU). METHODS: The Special Eurobarometer 458 "Attitudes of Europeans towards tobacco and electronic cigarettes", conducted in 2017, and the Tobacco Control Scale (TCS) 2010, 2013, and 2016 were the sources of our data. High risk of lung cancer was defined by the inclusion criteria in the National Lung Screening Trial (NLST) and the Dutch-Belgian Lung Cancer Screening Trial (NELSON), the largest lung cancer screening trials carried out in the US and the EU. We calculated Spearman's rank correlation coefficients (rsp) and fitted multilevel generalized linear mixed models using the quasi-Poisson family to assess the correlation at the national level and analyze the association at the individual level, respectively, between the scores in the TCS (higher scores means better implementation of tobacco control policies) and the proportion of individuals at high risk of lung cancer in member states of the EU. RESULTS: The scores in the TCS 2010 were statistically negatively correlated with the current proportion of ever and former smokers at high risk according to NELSON criteria (-0.41; 95%CI -0.68, -0.04 and -0.49; 95%CI -0.73, -0.13, respectively). We observed statistically significant inverse associations between the scores in the TCS 2010 for the highest quartiles and the proportion of individuals at high risk of lung cancer according to both criteria. Non-statistically significant negative correlations and inverse associations were observed with other TCS. CONCLUSION: There is a lag between the implementation of tobacco control policies and the reduction of the rates of high risk of lung cancer. Member states should reinforce comprehensive tobacco control policies to reduce the population at high risk of lung cancer in the EU.

Comparison of TSNAs concentration in saliva according to type of tobacco smoked.

OBJECTIVE: To compare tobacco-specific nitrosamines (TSNAs) measured in saliva according to different types of tobacco smoked in a sample of smokers of the city of Barcelona (Spain). METHODS: We used data from a cross-sectional study of a sample of the adult smoking population of Barcelona, Spain in 2013-2014 (n = 165). We classified smokers in five groups according to the type of tobacco smoked: a) manufactured cigarettes only, b) roll-your-own (RYO) cigarettes only, c) dual smokers (both manufactured and RYO cigarettes), d) manufactured plus other types of tobacco products different from RYO and e) other types of tobacco products different from manufactured and RYO cigarettes. We calculated the geometric mean (GM) and geometric standard deviation (GSD) of TSNAs concentration in saliva (pg/mL), including N'-nitroaonornicotine (NNN), 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) according to the five tobacco groups. We also described all TSNAs concentration in each tobacco group stratified by the number of cigarettes smoked per day. RESULTS: Smokers from the RYO cigarette group had higher TSNAs concentration than smokers from the manufactured cigarette group: 13 pg/mL vs 4.9 pg/mL of NNN, 1.9 pg/mL vs 1.7 pg/mL in NNK and 1.1 pg/mL vs 0.9 pg/mL of NNAL. There were significant differences in NNN concentrations between smokers of RYO vs manufactured cigarettes. The higher the number of cigarettes smoked, the higher the TSNAs concentrations. After adjusted by number of cigarettes smoked, there were not statistically significant differences in TSNAs between RYO and manufactured cigarettes. CONCLUSIONS: Our data shows that RYO cigarette is at least as hazardous as manufactured cigarettes. Regulating RYO tobacco prices could be an effective strategy to control tobacco use.

Measuring precarious employment in Europe 8 years into the global crisis.

BACKGROUND: The objective of this study is to describe the prevalence of precarious employment in the European Union (EU) using a multidimensional approach, 8 years into the economic crisis (2014). METHODS: We use data from the Flash Eurobarometer 398 among salaried workers (n = 7702). We calculated the proportion and its 95% confidence intervals (CI 95%) for each of the precarious employment dimensions (not having the ability to exercise rights, vulnerability, disempowerment and temporariness), the prevalence of precarious employment (presenting at least one dimension) and the proportion of workers presenting one, two, three or four dimensions. RESULTS: Two out of three workers had a precarious employment. The prevalence of precariousness was higher in Eastern (72.64%; CI 95%: 61.78; 81.34) than in Nordic European countries (51.17%; CI 95%: 44.30; 58.00). The most prevalent dimension was not having the ability to exercise rights (42.39%). CONCLUSIONS: Precarious employment is an important social determinant of health. Therefore, the EU policy-makers should take into consideration the new forms of employment and legislate accordingly.

Attitudes towards tobacco product regulations and their relationship with the tobacco control policies.

The objective of this work is to describe the acceptability of some tobacco products regulations and to explore their relation with tobacco control legislation levels in Europe. We used data on tobacco control activities in Europe in 2007, 2010 and 2013 measured by the Tobacco Control Scale (TCS) and data regarding attitudes about tobacco control regulations (i.e. adding picture health warnings on all packages of tobacco products or increasing taxes on tobacco products) from the Special Eurobarometer of 2009, 2012 and 2014 (n = 80,831). We calculated the prevalence ratio of favorable attitudes towards tobacco products restrictions in the reference year 2009 vs. the most current year (i.e. 2009 vs 2014), and the effect of previous TCS scores on the attitudes towards tobacco products regulations adjusted for sociodemographic variables. Strong support for the studied tobacco products regulations, which modestly increased over time, was observed. A positive relation was generally observed between TCS scores and support for the studied tobacco products regulations at both the ecological and individual level. A positive correlation was found between TCS scores and support for increasing taxes on tobacco products (rsp:0.29; 95%CI: 0.10, 0.48) at the ecological level, while at the individual level, the positive association was more remarkable in the case of support for adding large health warning labels to packaging. In conclusion, support for the studied tobacco products regulations were positively related with European tobacco control levels of implementation both at the ecological and individual level.

Correlation between tobacco control policies and preterm births and low birth weight in Europe.

OBJECTIVE: To assess the correlation between tobacco control policies- particularly smoking bans in work and public places-and the prevalence of preterm births and low birth weight in the European countries. METHODS: This is an ecological study and the unit of analysis set at the country level. Tobacco control data in Europe were obtained for the years 2010 and 2013 as measured by the Tobacco Control Scale (TCS), which reflects the level of implementation of tobacco control policies. Prevalence data for preterm births and low birth weight were obtained from two sources: the European Perinatal Health Report (EPHR), which provides data for 2010, and the Eurostat data, which includes the years 2013 and 2014. We analyzed the correlation between the TCS score and the prevalence of preterm birth and low birth weight in the European countries by means of Spearman (rsp) rank-correlation coefficients and their 95% confidence intervals (95%CI). RESULTS: The 2010 TCS was negatively correlated with the prevalence of preterm births before week 37 (rsp = -0.51; 95% CI: -0.77, -0.15; p = 0.006) and week 32 (rsp = -0.42; 95%CI: -0.73, -0.01; p = 0.030) and with the prevalence of the low birth weight (< 2500g, (rsp = -0.42; 95% CI: -0.66, -0.09; p = 0.028) in European countries in 2010. We found a statistically significant inverse correlation between the level of restrictions on smoking in public places and the prevalence of low birth weight (< 2500g rsp: -0.54; 95%CI: -0.72, -0.10; p = 0.017). CONCLUSION: The level of smoke-free legislation in European countries correlates with lower preterm birth prevalence rates at the ecological level. Given the important negative effects of premature births for the public health system, these data support greater implementation of smoke-free policies and tend to support the implementation of tobacco control policies, but more research is needed.

Smoke-free homes and attitudes towards banning smoking in vehicles carrying children in Spain (2016).

OBJECTIVE: To describe the voluntary adoption of smoke-free homes and social attitudes in Spain towards banning smoking in vehicles in which children are present. METHODS: Cross-sectional study of a representative sample of the adult Spanish population age range, 18-75 years (n=1036). The field work was conducted via a computer-assisted telephone survey in March and April 2016. Survey respondents answered questions about smoking rules at home and attitudes towards a smoking ban in cars with or without children. Home smoking rules were defined as complete (smoking not allowed anywhere in the house), partial (smoking allowed in some areas inside the house) or absent (smoking allowed everywhere). RESULTS: Most (83.0%) of the surveyed population had some type of smoking restriction in place at home (45.6% complete and 37.5% partial). There were significant differences between groups according to age group (the highest prevalence was 86.1% from 66 to 75 years and the lowest prevalence was 77.8% from 46 to 65 years) and smoking status (the highest prevalence was 89.4% in people who had never been smokers and the lowest prevalence was 75.0% in current smokers) with regards to the prevalence of smoke-free homes (p<0.05), with partial bans more prevalent in smoking households (49.0%). Most (61.6%) of the population favored banning smoking in cars, and 90.1% supported a ban in cars carrying minors. Attitudes towards smoking regulation in cars (with or without children) varied significantly by age group (the highest prevalence was 81.9% from 66 to 75 years and the lowest prevalence was 54.5% from 18 to 45 years) and smoking status (the highest prevalence was 71.4% in people who had never been smokers and the lowest prevalence was 46.0% in current smokers). However, no significant differences were found with regard to attitudes towards smoking regulation in cars carrying children, regardless of sex, age, social class, or smoking status. CONCLUSION: Approximately half of the adult population in Spain have implemented a complete smoke-free rule at home. More than 9 out of 10 adults favor regulating smoking in cars in the presence of minors. These findings support the expansion of smoke-free regulations to include private vehicles, particularly when minors are in the car.

Use of electronic cigarettes in public and private settings in Barcelona (Spain).

OBJECTIVES: To describe the prevalence of e-cigarette users who use them in selected indoor public and workplaces, and private venues in Barcelona (Spain) in 2015. METHODS: This is a cross-sectional study of a sample of e-cigarette users (≥ 18 years) from Barcelona (n = 600). We calculated the proportion of e-cigarette users who used the device in public and private settings (in the last 30 days). We fit multivariate logistic regression models adjusted for sex and age to calculate the odds ratios (OR) with their 95% confidence intervals (CI) of e-cigarette use by socio-demographic factors, dual use and nicotine-containing e-cigarettes. RESULTS: The highest proportion of e-cigarette users who used them in public places was found at restaurants or bars (69.4%) and nightclubs or pubs (55.4%). Also being current conventional tobacco smokers (dual users) was significantly associated with lower use of e-cigarettes in workplaces (OR = 0.61, 95%CI:0.41-0.91), restaurants (OR = 0.66, 95%CI:0.45-0.97) and nightclubs (OR = 0.56, 95%CI:0.37-0.86). Moreover, being a nicotine-containing e-cigarette user was associated with higher odds of using the device in workplaces (OR = 2.01, 95%CI:1.34-3.01), and lower odds of using it in nightclubs (OR = 0.56, 95%CI:0.39-0.82). 96.8% of the included e-cigarette users declared to use the device at home. Being a current tobacco smoker was associated with increased odds of using e-cigarettes at home (OR = 3.17, 95%CI:1.22-8.22). CONCLUSIONS: E-cigarette use in private settings and in public settings where their use is not regulated by law is high. Therefore, the public health administration in Spain should consider expanding the prohibition of e-cigarette use to indoor public places and should take into account the possibility of exposure to aerosol from e-cigarettes.

Correlation between tobacco control policies, consumption of rolled tobacco and e-cigarettes, and intention to quit conventional tobacco, in Europe.

OBJECTIVE: To analyse the correlation between the implementation of tobacco control policies and tobacco consumption, particularly rolling tobacco, electronic cigarettes (e-cigarettes) users and the intent to quit smoking in 27 countries of the European Union. DESIGN: Ecological study with the country as the unit of analysis. DATA SOURCES: We used the data from tobacco control activities, measured by the Tobacco Control Scale (TCS), in 27 European countries, in 2010, and the prevalence of tobacco consumption data from the Eurobarometer of 2012. ANALYSIS: Spearman correlation coefficients (rsp) and their 95% CIs. RESULTS: There was a negative correlation between TCS and prevalence of smoking (rsp=-0.41; 95% CI -0.67 to -0.07). We also found a negative correlation (rsp=-0.31) between TCS and the prevalence of ever e-cigarette users, but it was not statistically significant. Among former cigarette smokers, there was a positive and statistically significant correlation between TCS and the consumption of hand-rolled tobacco (rsp=0.46; 95% CI 0.06 to 0.70). We observed a similar correlation between TCS and other tobacco products (cigars and pipe) among former cigarette smokers. There was a significant positive correlation between TCS and intent to quit smoking in the past 12 months (rsp=0.66; 95% CI 0.36 to 0.87). CONCLUSIONS: The level of smoke-free legislation among European countries is correlated with a decrease in the prevalence of smoking of conventional cigarettes and an increase in the intent to quit smoking within the past 12 months. However, the consumption of other tobacco products, particularly hand-rolled tobacco, is positively correlated with TCS among former cigarette smokers. Therefore, tobacco control policies should also consider other tobacco products, such as rolling tobacco, cigars and pipes.

Impact of the Spanish smoking legislations in the adoption of smoke-free rules at home: a longitudinal study in Barcelona (Spain).

OBJECTIVE: To assess the impact of two Spanish smoking legislations in the adoption of voluntary smoke-free-homes rules in Spain. METHODS: This is a longitudinal study, before and after the implementation of two national smoking bans (in 2005 and 2010), in a representative sample (n=1245) of non-institutionalised adults (≥16 years) from Barcelona (Spain) surveyed in 2004-2005 and followed up in 2013-2014. The final sample analysed was 736 individuals (400 women and 336 men). We defined smoking rules in the houses as complete (when smoking was not allowed in the household), partial (when smoking was allowed in some places inside the house) or absent (when smoking was allowed everywhere). We calculated relative changes in the prevalence of smoking rules in homes before and after 2 national smoking legislations by means of prevalence ratios (PRs) and their 95% CIs. RESULTS: The households with voluntary smoke-free rules (complete or partial) relatively increased 31% after Spanish smoking bans (from 55.6% to 72.6%, p<0.001). The houses with complete rules relatively increased 57% (from 23.9% to 37.6%, p<0.001) whereas the houses with partial rules increased 11% (from 31.7% to 35.0%, p=0.148). The increase of any type of rules (complete and partial) was statistically significantly independent of sex (PR between 1.29 and 1.33), age (PR between 1.24 and 1.33), educational level (PR between 1.19 and 1.47) and minimum age in house (PR between 1.12 and 1.40). However, this increase was statistically and significantly higher only among never smokers (PR=1.46) at baseline. CONCLUSIONS: The implementation of the smoke-free regulations in public and work places in Spain was associated with an increasing of voluntary adoption of smoke-free rules in homes. According to our data, the Spanish smoking bans did not shift the tobacco consumption from public and work places to private places (homes).

Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women.

BACKGROUND: The FRAX® tool estimates the risk of a fragility fracture among the population and many countries have been evaluating its performance among their populations since its creation in 2007. The purpose of this study is to update the first FRIDEX cohort analysis comparing FRAX with the bone mineral density (BMD) model, and its predictive abilities. METHODS: The discriminatory ability of the FRAX was assessed using the 'area under curve' of the receiver operating characteristic (AUC-ROC). Predictive ability was assessed by comparing estimated risk fractures with incidence fractures after a 10-year follow up period. RESULTS: One thousand three hundred eight women ≥ 40 and ≤ 90 years followed up during a 10-year period. The AUC for major osteoporotic fractures using FRAX without DXA was 0.686 (95 % CI 0.630-0.742) and using FN T-score of DXA 0.714 (95 % CI 0.661-0.767). Using only the traditional parameters of DXA (FN T-score), the AUC was 0.706 (95 % CI 0.652-0.760). The AUC for hip osteoporotic fracture was 0.883 (95 % CI 0.827-0.938), 0.857 (95 % CI 0.773-0.941), and 0.814 (95 % CI 0.712-0.916) respectively. For major osteoporotic fractures, the overall predictive value using the ratio Observed fractures/Expected fractures calculated with FRAX without T-score of DXA was 2.29 and for hip fractures 2.28 and with the inclusion of the T-score 2.01 and 1.83 respectively. However, for hip fracture in women < 65 years was 1.53 and 1.24 respectively. CONCLUSIONS: The FRAX tool has been found to show a good discriminatory capacity for detecting women at high risk of fragility fracture, and is better for hip fracture than major fracture. The test of sensibility shows that it is, at least, not inferior than when using BMD model alone. The predictive capacity of FRAX tool needs some adjustment. This capacity is better for hip fracture prediction and better for women < 65 years. Further studies in Catalonia and other regions of Spain are needed to fine tune the FRAX tool's predictive capability.

Variation in Nicotine Metabolization According to Biological Factors and Type of Nicotine Consumer.

This study aims to describe the nicotine metabolite ratio among tobacco smokers and electronic cigarette (e-cigarette) users and nonusers. We analyzed pooled data from a longitudinal and a cross-sectional study of the adult population from the city of Barcelona. The final sample included information on 166 smokers, 164 e-cigarettes users with nicotine, 41 e-cigarette users without nicotine, 95 dual users (users of both products), and 508 nonusers. We used log-linear models to control for the potential confounding effect of the daily number of cigarettes smoked. Salivary nicotine metabolic rate assessment included the rate of nicotine metabolism (cotinine/nicotine) and the nicotine metabolite ratio (trans-3'-hydroxycotinine/cotinine). Exclusive users of e-cigarette without nicotine have the lowest rate of nicotine metabolism (Geometric mean: 0.08, p-values < 0.001) while cigarette smokers have the highest (Geometric mean: 2.08, p-values < 0.001). Nonusers have lower nicotine metabolic rate than cigarette smokers (Geometric means: 0.23 vs. 0.18, p-value < 0.05). Younger individuals (18−44 years) have a higher rate of nicotine metabolism than older individuals (45−64 years and 65−89) (Geometric means: 0.53 vs. 0.42 and 0.31, respectively, p-values < 0.01) and individuals with lower body mass index (21−25 kg/m2) have a higher rate of nicotine metabolism than the rest (26−30 kg/m2 and 31−60 kg/m2) (Geometric means: 0.52 vs. 0.35 and 0.36, respectively-values < 0.01). Nicotine metabolic rates are useful biomarkers when reporting smoking status and biological differences between individuals.

Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers.

INTRODUCTION: This study aims to address the existing gap in the literature, while adding evidence, by comparing tobacco-specific biomarkers (cotinine and nitrosamines: NNK, NNAL, NNN), and other biomarkers of e-cigarette use (humectants: glycerol, 1,2-PD, 1,3-PD) according to five study groups. METHODS: A pooling analysis including two different studies was conducted. In both analyses, we took saliva samples from smokers (n = 409) and non-smokers (n = 154), dual tobacco and e-cig users (n = 92), exclusive e-cig user with nicotine (n = 158), and exclusive e-cig users without nicotine (n = 38). We analyzed and compared the geometric means (GM) and geometric standard deviations (GSD) of the concentration of tobacco-specific biomarkers, and e-cigarette biomarkers among groups. We used log-linear models adjusted for sex and age to model the change percentage and their 95% confidence intervals. RESULTS: Cotinine was significantly higher in nicotine consumers and in e-cigarette users without nicotine when compared to non-smokers. TSNAs were generally significantly lower in non-smokers and higher in nicotine consumers. NNN and NNAL were lower in e-cigarette users with nicotine comparted to smokers, and NNN was higher in e-cigarette users without nicotine when compared to non-smokers. No differences were found in humectant biomarkers between e-cigarette groups. CONCLUSIONS: Although there was a reduction in TSNAs in e-cigarette exclusive users compared to smokers, and a reduction of cotinine concentrations in e-cigarette exclusive users without nicotine compared to smokers, there are still high levels of these biomarkers when compared to non-smokers, which may be a clue towards the harmful effect of e-cigarettes.

FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort.

BACKGROUND: The WHO has recently published the FRAX® tool to determine the absolute risk of osteoporotic fracture at 10 years. This tool has not yet been validated in Spain. METHODS/DESIGN: A prospective observational study was undertaken in women in the FRIDEX cohort (Barcelona) not receiving bone active drugs at baseline. Baseline measurements: known risk factors including those of FRAX® and a DXA. Follow up data on self-reported incident major fractures (hip, spine, humerus and wrist) and verified against patient records. The calculation of absolute risk of major fracture and hip fracture was by FRAX® website. This work follows the guidelines of the STROBE initiative for cohort studies. The discriminative capacity of FRAX® was analyzed by the Area Under Curve (AUC), Receiver Operating Characteristics (ROC) and the Hosmer-Lemeshow goodness-of-fit test. The predictive capacity was determined using the ratio of observed fractures/expected fractures by FRAX® (ObsFx/ExpFx). RESULTS: The study subjects were 770 women from 40 to 90 years of age in the FRIDEX cohort. The mean age was 56.8 ± 8 years. The fractures were determined by structured telephone questionnaire and subsequent testing in medical records at 10 years. Sixty-five (8.4%) women presented major fractures (17 hip fractures). Women with fractures were older, had more previous fractures, more cases of rheumatoid arthritis and also more osteoporosis on the baseline DXA. The AUC ROC of FRAX® for major fracture without bone mineral density (BMD) was 0.693 (CI 95%; 0.622-0.763), with T-score of femoral neck (FN) 0.716 (CI 95%; 0.646-0.786), being 0.888 (CI 95%; 0.824-0.952) and 0.849 (CI 95%; 0.737-0.962), respectively for hip fracture. In the model with BMD alone was 0.661 (CI 95%; 0.583-0.739) and 0.779 (CI 95%; 0.631-0.929). In the model with age alone was 0.668 (CI 95%; 0.603-0.733) and 0.882 (CI 95%; 0.832-0.936). In both cases there are not significant differences against FRAX® model. The overall predictive value for major fracture by ObsFx/ExpFx ratio was 2.4 and 2.8 for hip fracture without BMD. With BMD was 2.2 and 2.3 respectively. Sensitivity of the four was always less than 50%. The Hosmer-Lemeshow test showed a good correlation only after calibration with ObsFx/ExpFx ratio. CONCLUSIONS: The current version of FRAX® for Spanish women without BMD analysed by the AUC ROC demonstrate a poor discriminative capacity to predict major fractures but a good discriminative capacity for hip fractures. Its predictive capacity does not adjust well because leading to underdiagnosis for both predictions major and hip fractures. Simple models based only on age or BMD alone similarly predicted that more complex FRAX® models.