Related Experiment Video
Updated: Jul 7, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Unintended pregnancy rates among a US military population
Michael Custer1, Kim Waller, Sally Vernon
1United States Army Center for Health Promotion and Preventive Medicine, Directorate of Health Promotion and Wellness, Aberdeen Proving Ground, MD 21010, USA. michael.custer@na.amedd.army.mil
Abstract:
Unintended pregnancy among military women influences their lives and has implications for troop readiness and deployment. The purpose of this study was to identify the prevalence of unintended pregnancy in the US Army and assess the variables associated with unintended pregnancy. Using a cross-sectional design, 212 female soldiers who delivered viable infants at Darnall Army Community Hospital, Fort Hood, Texas from 1 June 1998 to 6 October 1998 completed a self-administered survey on pregnancy intention and sociodemographic factors. Approximately 35% of the infants were intended, 51% were unintended and 14% were ambivalent, resulting in 65% not intended, a rate consistent with the upper level of civilian communities. Factors associated univariably with unintended pregnancy included being unmarried, being in the lower enlisted rank, having less than a college degree, and living in the barracks. This study shows the importance of developing programmes and policies that address pregnancy among military personnel.
More Related Videos
05:36Inducing Pseudopregnancy in Female Mice Without the Need for Vasectomized Males Prior to Non-Surgical Embryo Transfer or Artificial Insemination
Published on: July 7, 2023
04:22Treatment Model for Young Patients with Psychogenic Erectile Dysfunction and Resultant Infertility
Published on: May 30, 2025
Related Concept Videos
Birth Control Methods
Regression Toward the Mean
Intrauterine Drug Delivery Systems
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Infertility in Males
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...