Changes in Sexual Desire in Women and Their Partners during Pregnancy

When studying sexual desire during pregnancy, most research focuses on the pregnant woman’s sexual desire and almost never takes into account her sexual partner. The novelty of this study is that sexual desire during pregnancy is studied from the point of view of the pregnant woman and from that of her male partner. The goal of this study is to see how sexual desire behaves during pregnancy in both partners. For this, a descriptive, longitudinal, and multistage study was designed. Methodologically, in the first stage, the different study variables were described through a single-variate analysis. In the second stage, one variable was related to others by means of a bivariate analysis. Finally, in the third stage, a multivariate analysis was done, composed of binary logistic regression models and latent growth curves. The results confirm that pregnancy influences the sexual desire of both partners, and that sexual desire behaves differently in women than in men during pregnancy. Men have higher levels of sexual desire throughout pregnancy as compared to women. The first trimester of pregnancy is the period when women have less sexual desire.

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Latent growth curves and predictors of depressive symptoms among Chinese adolescent earthquake survivors

Personality and Individual Differences ◽

10.1016/j.paid.2016.02.009 ◽

2016 ◽

Vol 100 ◽

pp. 173-178 ◽

Cited By ~ 10

Author(s):

Ya Zhou ◽

Qingguo Han ◽

Fang Fan

Keyword(s):

Depressive Symptoms ◽

Growth Curves ◽

Latent Growth ◽

Latent Growth Curves ◽

Chinese Adolescent ◽

Earthquake Survivors

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Modeling Latent Growth Curves With Incomplete Data Using Different Types of Structural Equation Modeling and Multilevel Software

Structural Equation Modeling A Multidisciplinary Journal ◽

10.1207/s15328007sem1103_8 ◽

2004 ◽

Vol 11 (3) ◽

pp. 452-483 ◽

Cited By ~ 49

Author(s):

Emilio Ferrer ◽

Fumiaki Hamagami ◽

John J. McArdle

Keyword(s):

Structural Equation Modeling ◽

Incomplete Data ◽

Structural Equation ◽

Growth Curves ◽

Equation Modeling ◽

Latent Growth ◽

Latent Growth Curves ◽

Different Types

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A predictive model for early diagnosis of keratoconus

10.21203/rs.2.21162/v2 ◽

2020 ◽

Author(s):

GRACIA CASTRO-LUNA ◽

ANTONIO PÉREZ-RUEDA

Keyword(s):

Logistic Regression ◽

Predictive Model ◽

Corneal Thickness ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Bivariate Analysis ◽

Diagnostic Model ◽

Binary Logistic Regression Model ◽

Cross Sectional ◽

Logistic Regression Models

Abstract Background: The diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore to avoid possible refractive surgery that could produce ectasias. This study aims to describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus and normal corneas. Additionally to propose a diagnostic model of subclinical keratoconus based in binary logistic regression models Methods: The design was a cross-sectional study. It included 205 eyes from 205 patients distributed in 82 normal corneas, 40 subclinical keratoconus and 83 established keratoconus The rotary Scheimpflug camera (Pentacam® type) analyzed the topographic, pachymetric and aberrometry variables. It performed a descriptive and bivariate analysis of the recorded data. A diagnostic and predictive model of subclinical keratoconus was calculated with the statistically significant variables Results: Statistically significant differences were observed when comparing normal corneas with subclinical keratoconus/ in variables of the vertical asymmetry to 90º and the central corneal thickness. The binary logistic regression model included the minimal corneal thickness, the anterior coma to 90º and posterior coma to 90º. The model properly diagnosed 92% of cases Conclusions: The differential diagnosis between normal cases and subclinical keratoconus depends on the mínimum corneal thickness, the anterior coma to 90º and the posterior coma to 90º.

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