A comparison of risky sexual behaviors between older and younger men who have sex with men in Houston, TX

Objectives. This study estimated the prevalence of risky sexual behaviors of older (≥ years old) and younger (18-24 years) men who have sex with men (MSM) in Houston, TX and compared the prevalence of these behaviors between the two age cohorts. ^ Methods. Data used in this analysis were from the third MSM cycle of the National HIV Behavioral Surveillance Study. There were 80 older and 119 younger MSM who met the eligibility criteria. Bivariate and Multivariate analysis were performed to compare risky sexual behaviors from the past 12 months and at last sexual encounter between the two age cohorts. ^ Results. OMSM were more likely to be Non-Hispanic White (AOR=4.17; CI: 1.46, 11.89), to have a household income last year greater than $75,000 (AOR=3.59; CI: 1.12, 11.55), and to self-report HIV-positive (AOR=7.35; CI: 2.69, 20.10) than YMSM. OMSM were less like to have had anal sex (AOR=0.11; CI: 0.04, 0.29) or a main sex partner (AOR=0.2; CI: 0.09, 0.45) than YMSM in the past 12 months. Among MSM who had anal sex at last sexual encounter, OMSM were more likely to have not used a condom the entire time regardless of partner type (AOR=3.64; CI: 1.54, 8.61), not used a condom the entire time with a causal sex partner (AOR=7.72; CI: 1.76, 33.92), had unprotected insertive anal intercourse (AOR=2.92; CI: 1.1, 7.75), and used alcohol before or during sex (AOR=5.33; CI: 2.15, 13.2) than YMSM. YMSM and OMSM did not different significantly in knowledge of last sex partner's HIV status. ^ Conclusions. This is not a homogeneous sample of OMSM and risky sexual behaviors vary within the group. There were many similarities in risk behavior between OMSM and YMSM but also some key differences in partner type and condom use indicating a need for increased age-appropriate health promotion programs to limit a potential increase in HIV infection among OMSM. ^

Detection of nonrandom association of alleles from the distribution of the number of heterozygous loci in a sample.

The distribution of the number of heterozygous loci in two randomly chosen gametes or in a random diploid zygote provides information regarding the nonrandom association of alleles among different genetic loci. Two alternative statistics may be employed for detection of nonrandom association of genes of different loci when observations are made on these distributions: observed variance of the number of heterozygous loci (s2k) and a goodness-of-fit criterion (X2) to contrast the observed distribution with that expected under the hypothesis of random association of genes. It is shown, by simulation, that s2k is statistically more efficient than X2 to detect a given extent of nonrandom association. Asymptotic normality of s2k is justified, and X2 is shown to follow a chi-square (chi 2) distribution with partial loss of degrees of freedom arising because of estimation of parameters from the marginal gene frequency data. Whenever direct evaluations of linkage disequilibrium values are possible, tests based on maximum likelihood estimators of linkage disequilibria require a smaller sample size (number of zygotes or gametes) to detect a given level of nonrandom association in comparison with that required if such tests are conducted on the basis of s2k. Summarization of multilocus genotype (or haplotype) data, into the different number of heterozygous loci classes, thus, amounts to appreciable loss of information.

Evaluation of androgenicity, abdominal adiposity, blood pressure and types of ovulatory patterns in a sample of women with menstrual irregularities

Objective: To determine the prevalence of and the relationships between the degree and source of hyperandrogenemia, ovulatory patterns and cardiovascular disease risk indicators (blood pressure, indices or amount of obesity and fat distribution) in women with menstrual irregularities seen at endocrinologists' clinic. Design: A cross-sectional study design. Participants: A sample of 159 women with menstrual irregularities, aged 15-44, seen at endocrinologists' clinic. Main Outcome Measures: androgen levels, body mass index (BMI), waist-hip ratio (WHR), systolic and diastolic blood pressure (SBP & DBP), source of androgens, ovulatory activity. Results: The prevalence of hyperandrogenemia was 54.7% in this study sample. As expected, women with acne or hirsutism had an odds ratio 12.5 (95%CI = 5.2-25.5) times and 36 (95%CI = 12.9-99.5) times more likely to have hyperandrogenemia than those without acne or hirsutism. The main findings of this study were the following: Hyperandrogenemic women were more likely to have oligomenorrheic cycles (OR = 3.8, 95%CI = 1.5-9.9), anovulatory cycles (OR = 6.6, 95%CI = 2.8-15.4), general obesity (BMI $\ge$ 27) (OR = 6.8, 95%CI = 2.2-27.2) and central obesity (WHR $\ge$ 127) (OR = 14.5, 95%CI = 6.1-38.7) than euandrogenemic women. Hyperandrogenemic women with non-suppressible androgens had a higher mean BMI (29.3 $\pm$ 8.9) than those with suppressible androgens (27.9 $\pm$ 7.9); the converse was true for abdominal adiposity (WHR). Hyperandrogenemic women had a 2.4 odds ratio (95%CI = 1.0-6.2) for an elevated SBP and a 2.7 odds ratio (95%CI = 0.8-8.8) for elevated DBP. When age differences were accounted for, this relationship was strengthened and further strengthened when sources of androgens were controlled. When the differences in BMI were controlled, the odds ratio for elevated SBP in hyperandrogenemic women increased to 8.8 (95%CI = 1.1-69.9). When the age, the source of androgens, the amount of obesity and the type of obesity were controlled, hyperandrogenemic women had 13.5 (95%CI = 1.1-158.9) odds ratio for elevated SBP. Conclusions: In this study population, the presence of menstrual irregularities are highly predictive for the presence of elevated androgens. Women with elevated androgens have a high risk for obesity, more specifically for central obesity. The androgenemic status is an independent predictor of blood pressure elevation. It is probable that in the general population, the presence of menstrual irregularities are predictive of hyperandrogenemia. There is a great need for a population study of the prevalence of hyperandrogenemia and for longitudinal studies in hyperandrogenemic women (adrenarche to menopause) to investigate the evolution of these relationships. ^