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Jung Yeon Lee, Judith S. Brook, Kerstin Pahl, David W. Brook,
Volume 6, Issue 3 (9-2017)
Abstract

Background In the United States (US), there are 19 million new sexually transmitted disease (STD) infections each year. Untreated STDs can lead to serious long-term adverse health consequences, especially for young women. Centers for Disease Control and Prevention estimates that undiagnosed and untreated STDs cause at least 24,000 women in the US each year to become infertile. This clearly is a public health issue of great concern for young women.
Methods The current cross-sectional study included a community sample consisting of 343 female participants (50% African Americans, 50% Puerto Ricans) at their mean age of 39 years. Regression analyses were conducted to examine the associations of time-varying factors within-person (e.g., substance use) and fixed effects factors between-persons (e.g., race/ethnicity) with the number of male sexual partners.
Results: Alcohol use (b=0.14, p<0.01), cannabis use (b=1.10, p<0.01), marital status – unmarried (b=-0.16, p<0.05), and race/ethnicity – African American (b=-0.20, p<0.01) were significantly related to having a higher number of male sex partners in the past year.
Conclusions: From a public health perspective, treatment and prevention programs for sexual risk behavior focused on substance use as well as socio-cultural factors (i.e., marital status, race/ethnicity) may be more effective than programs focused only on substance use.
 


Fatemeh Ghannadiasl,
Volume 13, Issue 1 (1-2024)
Abstract

Background: Subjective weight perception significantly impacts overall health and is influenced by various factors. This study aims to develop predictive models using anthropometric indices to estimate subjective weight perception in women.
Methods: This descriptive cross-sectional study involved a random sample of 287 women, aged 18-45, with a body mass index (BMI), ranging from 18.5 to 40.0 kg/m2 who were referred to a nutrition clinic in Ardabil city between May and September 2023.  Weight, BMI, waist-to-hip ratio (WHR), waist circumference (WC), waist-to-height ratio (WHtR), body adipocyte index (BAI), abdominal volume index (AVI), and conicity index (CI) were measured using standardized procedures. Subjective weight was assessed using a subscale of the Multidimensional Body Self-Relation Questionnaire. Regression analysis was employed to develop prediction models.
Results: The predictive equation for subjective weight was 2.548 + (-0.303 × weight in kg) + (0.089 × BMI in kg/m2) + (27.773 × WHR) + (1.032 × WC in cm) + (-109.256 × WHR) + (0.540 × BAI in %) + (-0.260 × AVI in m2) +
(-39.423 × CI in m3/2kg− 1/2). The model accounted for 78.50% of the variance and significantly predicted subjective weight perception (F (8, 279) = 104.604, and p < 0.001).
Weight, WHR, WC, WHtR, BAI, and CI significantly contributed to the model (p < 0.05).

Conclusion: The findings underscore the importance of considering multiple anthropometric indices to understand individual differences in subjective weight perception. This understanding will be essential for developing more effective approaches to overall health.


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