Presentation is loading. Please wait.

Presentation is loading. Please wait.

Estimated alcohol drinking (weekly drunkenness, monthly drunkenness, occasional drunkenness, drinking but not until drunk, does not drink) probabilities.

Published bySugiarto Muljana Modified over 5 years ago

Similar presentations

Presentation on theme: "Estimated alcohol drinking (weekly drunkenness, monthly drunkenness, occasional drunkenness, drinking but not until drunk, does not drink) probabilities."— Presentation transcript:

1 Estimated alcohol drinking (weekly drunkenness, monthly drunkenness, occasional drunkenness, drinking but not until drunk, does not drink) probabilities among 14-year-olds in the period 1983–2013 in the lowest income group (€0–€2/week), the most common income group (€5–€6/week) and the highest income group (€17 or more/week). Estimated alcohol drinking (weekly drunkenness, monthly drunkenness, occasional drunkenness, drinking but not until drunk, does not drink) probabilities among 14-year-olds in the period 1983–2013 in the lowest income group (€0–€2/week), the most common income group (€5–€6/week) and the highest income group (€17 or more/week). Tomi Lintonen, and Jaakko Nevalainen BMJ Open 2017;7:e013994 ©2017 by British Medical Journal Publishing Group

Download ppt "Estimated alcohol drinking (weekly drunkenness, monthly drunkenness, occasional drunkenness, drinking but not until drunk, does not drink) probabilities."

Similar presentations

„ Changes in Health Behaviour of School-Aged Children between 1986-2002 (A comparative analysis of the risk behaviour) Németh Á., Aszmann A.,Páll G., Kökönyei.

„ Changes in Health Behaviour of School-Aged Children between (A comparative analysis of the risk behaviour) Németh Á., Aszmann A.,Páll G., Kökönyei.
Half term 1 week 6 theme - event. Discuss the image with your colleagues What is the person drinking? Is this a good thing to do? Give reasons. Why do.

Half term 1 week 6 theme - event. Discuss the image with your colleagues What is the person drinking? Is this a good thing to do? Give reasons. Why do.
The teenage origins of students' drinking habits Tomi Lintonen Research director, The Finnish Foundation for Alcohol Studies Adjunct professor, University.

The teenage origins of students' drinking habits Tomi Lintonen Research director, The Finnish Foundation for Alcohol Studies Adjunct professor, University.
WEEK 1 You have 10 seconds to name…

WEEK 1 You have 10 seconds to name…
Morten Grønbæk, MD, PhD  Annals of Epidemiology 

Morten Grønbæk, MD, PhD  Annals of Epidemiology 
Rental Math.

Rental Math.
Restricted cubic spline plots of the associations between daily fruit intake with body mass index (BMI) (A), waist circumference (B), percentage fat mass.

Restricted cubic spline plots of the associations between daily fruit intake with body mass index (BMI) (A), waist circumference (B), percentage fat mass.
Level of physical activity in individuals reporting experiences of weight discrimination (n=268) and individuals reporting no weight discrimination (n=5212)

Level of physical activity in individuals reporting experiences of weight discrimination (n=268) and individuals reporting no weight discrimination (n=5212)
Education.

Education.
Number of local authorities (LAs) commissioning each service directly or indirectly (n=148) (*Flu vaccination data excludes the service commissioned across.

Number of local authorities (LAs) commissioning each service directly or indirectly (n=148) (*Flu vaccination data excludes the service commissioned across.
goals for the eleventh evening

goals for the eleventh evening
Mean expense per year on courses and conferences that trainees have not been reimbursed. Mean expense per year on courses and conferences that trainees.

Mean expense per year on courses and conferences that trainees have not been reimbursed. Mean expense per year on courses and conferences that trainees.
Daily contribution (%) of sodium and potassium from major food groups among participants aged 8–12 years (n=517), which includes major food groups provided.

Daily contribution (%) of sodium and potassium from major food groups among participants aged 8–12 years (n=517), which includes major food groups provided.
Defining study follow-up periods—index date (entry into cohort) and breaks in MSP registration. †End of follow-up due to earliest of: active TB diagnosis,

Defining study follow-up periods—index date (entry into cohort) and breaks in MSP registration. †End of follow-up due to earliest of: active TB diagnosis,
Incidence trends for each human papillomavirus-related cancer-type among women in Norway 1953–2015. Incidence trends for each human papillomavirus-related.

Incidence trends for each human papillomavirus-related cancer-type among women in Norway 1953–2015. Incidence trends for each human papillomavirus-related.
Toxicity spectra and rankings in the subgroup analysis based on each specific grade 1-5 adverse event and cancer type. Toxicity spectra and rankings in.

Toxicity spectra and rankings in the subgroup analysis based on each specific grade 1-5 adverse event and cancer type. Toxicity spectra and rankings in.
Scatter graph showing total work time equivalent of all specialist palliative care practitioners commissioned by the Clinical Commissioning Group (CCG)

Scatter graph showing total work time equivalent of all specialist palliative care practitioners commissioned by the Clinical Commissioning Group (CCG)
DSM-IV delirium prevalence, including the estimated delirium prevalence in the 31 patients that did not undergo delirium assessment following initial screening.

DSM-IV delirium prevalence, including the estimated delirium prevalence in the 31 patients that did not undergo delirium assessment following initial screening.
Scatter graph showing the total number of specialist palliative care beds commissioned compared with the estimated number of people with palliative care.

Scatter graph showing the total number of specialist palliative care beds commissioned compared with the estimated number of people with palliative care.
Estimated probability of successful quitting (quit attempt of longer than 1 year) by quit attempt number in the Ontario Tobacco Survey. Estimated probability.

Estimated probability of successful quitting (quit attempt of longer than 1 year) by quit attempt number in the Ontario Tobacco Survey. Estimated probability.

Similar presentations

Ads by Google