Youths in Bolgatanga municipality in the Upper East Region in the rural north of Ghana suffer health and social problems that are caused by their premarital and unsafe sexual behaviour. This study provides more knowledge of and insight into the youths’ conceptions, motives and practices concerning premarital sex in the specific cultural and social context of Bolgatanga municipality. The results of this study can contribute to the development of more effective sexual and reproductive health (SRH) programmes. Interviews with 33 youths and 27 key respondents were carried out. Four repertoires were constructed to present the dynamics wherein the youths’ premarital sexual behaviour takes place. The dominant ideology of abstaining from premarital sex contrasts with the counter ideology of allowing premarital sex, influenced by increasing modernization. SRH programmes should take into account the increasing influence of modernity, gender differences and the compelling influence of peer groups, all of which contribute to youths engaging in premarital sex, with health and social problems as possible consequences. (Afr J Reprod Health 2013; 17[4]: 93-106).
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Circulating sex hormone levels have been linked to a wide range of cardiovascular risk factors in men, but studies on incident CVD have been inconclusive [1]. Recent data from meta-analyses show an increase in CVD risk with low testosterone in elderly men and no association with estradiol levels [2,3]. To clarify the role of sex hormones in male CVD risk, we examined the cross-sectional and longitudinal associations between endogenous sex hormones and subclinical atherosclerosis in a population-based cohort of middle-aged and older men.
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Objective: The effects of sociodemographic factors on quality of life in older people differ strongly, possibly due to the fact that different measurement instruments have been used. The main aim of this cross-sectional study is to compare the associations of sex, age, marital status, education, and income with quality of life assessed with the Short-Form Health Survey (SF-12), the World Health Organization Quality of Life Questionnaire-BREF (WHOQOL-BREF), and the World Health Organization Quality of Life Questionnaire-Older Adults Module (WHOQOL-OLD). Methods: The associations between sociodemographic factors and eleven quality of life domains were examined using a sample of 1,492 Dutch people aged $50 years. Participants completed the “Senioren Barometer”, a web-based questionnaire including sociodemographic factors, the SF-12, the WHOQOL-BREF, and the WHOQOL-OLD. Results: All the sociodemographic factors together explained a significant part of the variance of all the quality of life domains’ scores, ranging from 5% to 17% for the WHOQOL-BREF, 5.8% to 6.7% for the SF-12, and 1.4% to 26% for the WHOQOL-OLD. Being a woman and being older were negatively associated with two and four quality of life domains, respectively. Being a woman, being married or cohabiting, and having higher education and a higher income were positively associated with six, six, one, and eleven quality of life domains, respectively. Conclusion: Our study showed that the associations of sociodemographic factors and quality of life in middle-aged and older people depend on the instruments used to assess quality of life. We recommend that health care and welfare professionals focus particularly on people with a low income and carry out interventions aimed at improving their quality of life.
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