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Socio-demographic characteristics of study participants, by sex.
Tomsk, Russian Federation. n = 196. -
r37980778c78--4636a60b419c0fa8c34bbe3a39527233
Linear model of predictors of frequency of consumed alcohol during the past 30 days. -
Characteristics of 402 Women in the EPIC-Potsdam Sub-Study Population by EPIC...
Characteristics of 402 Women in the EPIC-Potsdam Sub-Study Population by EPIC-P-FI Score in 2010. -
Socio-demographic characteristics of female participants by licence type.
Socio-demographic characteristics of female participants by licence type. -
Drunkeness, sources of alcohol and reasons for alcohol drinking.
Drunkeness, sources of alcohol and reasons for alcohol drinking. -
r37980778c78--5b7d9f31cdfd3e3519fa0c945ee59f96
Means, standard deviations, and tests of significance between licence types and various scenarios where participants may drive while unsure if they were over the legal limit. -
r37980778c78--b15dc846e4849a26ac02b69f286c7031
The objective of this study was to investigate the relationship between body mass index (BMI) and mortality in the elderly. This study was a nation-wide population-based... -
r37980778c78--313af7b2284e1e9a58a5d72a93606545
Sample socio-demographic characteristics, overall and by sex (n = 16,011). -
Associations with systemic bacterial infection during follow-up.
Cox regression analysis with non-injection (Model 1) and heroin injection (Model 2) as reference categories. Time measured from baseline interview to systemic bacterial... -
Baseline characteristics of participants.
Data are presented as mean±SD, median (interquartile range) or percent. Chi-square test for categorical variables, the unpaired t test or Mann-Whitney U test for continuous... -
r37980778c78--2e1223d8396bf1f44cbe5d0b04bdfd16
The advancing age of the participants of the European Prospective Investigation into Cancer and Nutrition (EPIC)—Potsdam study was the incentive to investigate frailty as a... -
r37980778c78--e0c7506a6ac7102f0360b2ad5dd67af1
Descriptive statistics of control variables for subsample (n = 32). -
Description of alcohol use in terms of observed average drinking volume (on w...
Description of alcohol use in terms of observed average drinking volume (on workweek days, at weekends, and total DV) and AUD prevalence according to its severity over the 3... -
r37980778c78--0544a5bebd5f63e0c58b378e60a2b000
Characteristics of subjects with/without periodontal disease in pregnancy data. -
Mean alcohol use disorder (AUD) score over time by AU trajectory.
Mean alcohol use disorder (AUD) score over time by AU trajectory. -
r37980778c78--2f65780cfa9feacbc75fca446d12bd29
Subgroup analysis association between body mass index and all-cause mortality. -
Characteristics of the study population.
SD = standard deviation; BMI = body mass index; BFP = Body fat percentage measured with bioelectrical impedance [24]; WHR = waist-hip ratio; HGS = handgrip strength, the highest... -
Details of how the general distress factor and all five specific factors rela...
Details of how the general distress factor and all five specific factors relate to hazardous behaviour (alcohol and drug use, NSSI) and past/current treatment for mental ill...
