14 research outputs found
The rat androgen receptor gene promoter
The androgen receptor (AR) is activated upon binding of testosterone or
dihydrotestosterone and exerts regulatory effects on gene expression in
androgen target cells. To study transcriptional regulation of the rat AR
gene itself, the 5' genomic region of this gene was cloned from a genomic
library and the promoter was identified. S1-nuclease protection analysis
showed two major transcription start sites, located between 1010 and 1023
bp upstream from the translation initiation codon. The area surrounding
these start sites was cloned in both orientations in a CAT reporter
plasmid. Upon transfection of the constructs into COS cells, part of the
promoter stimulated transcription in an orientation-independent manner,
but the full promoter showed a higher and unidirectional activity. In the
promoter/reporter gene constructs, transcription initiated from the same
positions as in the native gene. Sequence analysis showed that the
promoter of the rat AR gene lacks typical TATA and CCAAT box elements, but
one SP1 site is located at about 60 bp upstream from the major start site
of transcription. Other possible promoter elements are TGTYCT sequences at
positions -174 to -179, -434 to -439., -466 to -471, and -500 to -505,
resembling half-sites of the glucocorticoid-responsive element (GRE).
Furthermore, a homopurine stretch containing a total of 8 GGGGA elements
and similar to sequences that are present in several other GC-rich
promoters, is located between -89 and -146 bp upstream from the major
start site of transcriptio
Doing masculinity, not doing health? a qualitative study among dutch male employees about health beliefs and workplace physical activity
<p>Abstract</p> <p>Background</p> <p>Being female is a strong predictor of health promoting behaviours. Workplaces show great potential for lifestyle interventions, but such interventions do not necessarily take the gendered background of lifestyle behaviours into account. A perspective analyzing how masculine gender norms affect health promoting behaviours is important. This study aims to explore men's health beliefs and attitudes towards health promotion; in particular, it explores workplace physical activity in relation to masculine ideals among male employees.</p> <p>Methods</p> <p>In the Fall of 2008, we interviewed 13 white Dutch male employees aged 23-56 years. The men worked in a wide range of professions and occupational sectors and all interviewees had been offered a workplace physical activity program. Interviews lasted approximately one to one-and-a-half hour and addressed beliefs about health and lifestyle behaviours including workplace physical activity, as well as normative beliefs about masculinity. Thematic analysis was used to analyze the data.</p> <p>Results</p> <p>Two normative themes were found: first, the ideal man is equated with being a winner and real men are prepared to compete, and second, real men are not whiners and ideally, not vulnerable. Workplace physical activity is associated with a particular type of masculinity - young, occupied with looks, and interested in muscle building. Masculine norms are related to challenging health while taking care of health is feminine and, hence, something to avoid. Workplace physical activity is not framed as a health measure, and not mentioned as of importance to the work role.</p> <p>Conclusions</p> <p>Competitiveness and nonchalant attitudes towards health shape masculine ideals. In regards to workplace physical activity, some men resist what they perceive to be an emphasis on muscled looks, whereas for others it contributes to looking self-confident. In order to establish a greater reach among vulnerable employees such as ageing men, worksite health promotion programs including workplace physical activity may benefit from greater insight in the tensions between health behaviours and masculinity.</p
Social Inequalities and Mortality in Europe - Results from a Large Multi-National Cohort
Background: Socio-economic inequalities in mortality are observed at the country level in both North America and Europe. The purpose of this work is to investigate the contribution of specific risk factors to social inequalities in cause-specific mortality using a large multi-country cohort of Europeans. Methods: A total of 3,456,689 person/years follow-up of the European Prospective Investigation into Cancer and Nutrition (EPIC) was analysed. Educational level of subjects coming from 9 European countries was recorded as proxy for socioeconomic status (SES). Cox proportional hazard model's with a step-wise inclusion of explanatory variables were used to explore the association between SES and mortality; a Relative Index of Inequality (RII) was calculated as measure of relative inequality. Results: Total mortality among men with the highest education level is reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I. 0.52-0.61); among women by 29% (HR 0.71, 95% C.I. 0.64-0.78). The risk reduction was attenuated by 7% in men and 3% in women by the introduction of smoking and to a lesser extent (2% in men and 3% in women) by introducing body mass index and additional explanatory variables (alcohol consumption, leisure physical activity, fruit and vegetable intake) (3% in men and 5% in women). Social inequalities were highly statistically significant for all causes of death examined in men. In women, social inequalities were less strong, but statistically significant for all causes of death except for cancer-related mortality and injuries. Discussion: In this European study, substantial social inequalities in mortality among European men and women which cannot be fully explained away by accounting for known common risk factors for chronic diseases are reporte
Social Inequalities and Mortality in Europe - Results from a Large Multi-National Cohort
Background: Socio-economic inequalities in mortality are observed at the
country level in both North America and Europe. The purpose of this work
is to investigate the contribution of specific risk factors to social
inequalities in cause-specific mortality using a large multi-country
cohort of Europeans.
Methods: A total of 3,456,689 person/years follow-up of the European
Prospective Investigation into Cancer and Nutrition (EPIC) was analysed.
Educational level of subjects coming from 9 European countries was
recorded as proxy for socioeconomic status (SES). Cox proportional
hazard model’s with a step-wise inclusion of explanatory variables were
used to explore the association between SES and mortality; a Relative
Index of Inequality (RII) was calculated as measure of relative
inequality.
Results: Total mortality among men with the highest education level is
reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I.
0.52-0.61); among women by 29% (HR 0.71, 95% C.I. 0.64-0.78). The risk
reduction was attenuated by 7% in men and 3% in women by the
introduction of smoking and to a lesser extent (2% in men and 3% in
women) by introducing body mass index and additional explanatory
variables (alcohol consumption, leisure physical activity, fruit and
vegetable intake) (3% in men and 5% in women). Social inequalities
were highly statistically significant for all causes of death examined
in men. In women, social inequalities were less strong, but
statistically significant for all causes of death except for
cancer-related mortality and injuries.
Discussion: In this European study, substantial social inequalities in
mortality among European men and women which cannot be fully explained
away by accounting for known common risk factors for chronic diseases
are reported
Cumulative mortality at different ages by education level and sex (blue lines for men, orange/red lines for women; circles for none-primary education, triangles for technical education, squares for secondary education, diamonds for university degree).
<p>Cumulative mortality at different ages by education level and sex (blue lines for men, orange/red lines for women; circles for none-primary education, triangles for technical education, squares for secondary education, diamonds for university degree).</p
Hazard ratio (HRs) for mortality across the Relative Index of Inequality (RII) in men (blue diamonds) and women (red squares), in Northern (Norway, Sweden, Denmark), Central (UK, Netherlands, and Germany), and Southern (Spain, Italy, and Greece) European countries; fully adjusted model (including smoking status at recruitment, BMI in 2.5 kg/m<sup>2</sup> categories, alcohol consumption at recruitment, leisure physical activity, and fruit and vegetables consumption, and stratifyied by age and centre of recruitment).
<p>Hazard ratio (HRs) for mortality across the Relative Index of Inequality (RII) in men (blue diamonds) and women (red squares), in Northern (Norway, Sweden, Denmark), Central (UK, Netherlands, and Germany), and Southern (Spain, Italy, and Greece) European countries; fully adjusted model (including smoking status at recruitment, BMI in 2.5 kg/m<sup>2</sup> categories, alcohol consumption at recruitment, leisure physical activity, and fruit and vegetables consumption, and stratifyied by age and centre of recruitment).</p