43 research outputs found
Flow of enrollment and retention of the study participants.
<p>Flow of enrollment and retention of the study participants.</p
Factors associated with the uptake of A (H1N1) influenza vaccine in multivariate logistic regression model.
<p>OR denotes odds ratio; CI denotes confidence interval.</p>*<p>Other variables in the model included age, education attainment, marital status, employment status, and anxiety about adverse effects of A (H1N1) influenza vaccine.</p>†<p>Exchange rate: US$ 1  =  ¥90.</p>‡<p>Underlying diseases included chronic respiratory diseases, chronic metabolic diseases, chronic heart diseases, liver diseases, kidney diseases, and immunodeficiency diseases.</p>§<p>High-risk groups included people with an underlying disease, pregnant women, children age five years or younger, and elderly people aged 65 years or older.</p
Knowledge, attitudes, and behavior towards A (H1N1) influenza and its vaccine among vaccine receivers and non-receivers.
<p>*p-values were based on χ<sup>2</sup> test or Fisher's Exact test.</p
Bivariate association between participant's characteristics and the uptake of A (H1N1) influenza vaccine.
<p>*p-values were based on χ<sup>2</sup> test or Fisher's Exact test.</p>†<p>Underlying diseases included chronic respiratory diseases, chronic metabolic diseases, chronic heart diseases, liver diseases, kidney diseases, and immunodeficiency diseases.</p>‡<p>High-risk groups included people with an underlying disease, pregnant women, children age five years or younger, and elderly people aged 65 years or older.</p>§<p>School-going children included primary school students to university students.</p
Characteristics of the participants at baseline and follow-up.
<p>SD denotes standard deviation.</p><p>*Exchange rate: US$ 1  =  ¥90.</p>†<p>Underlying diseases included chronic respiratory diseases, chronic metabolic diseases, chronic heart diseases, liver diseases, kidney diseases, and immunodeficiency diseases.</p>‡<p>High-risk groups included people with an underlying disease, pregnant women, children age five years or younger, and elderly people aged 65 years or older.</p>§<p>School-going children included primary school students to university students.</p
Comparisons of socio-demographic characteristics of PLHIV with lower and higher levels of mental disorders.
<p>Comparisons of socio-demographic characteristics of PLHIV with lower and higher levels of mental disorders.</p
Comparisons of sexual behaviors among MSM who reported always using condoms and MSM who reported not always using condoms.
<p>Comparisons of sexual behaviors among MSM who reported always using condoms and MSM who reported not always using condoms.</p
Additional file 3: of Mobile Link – a theory-based messaging intervention for improving sexual and reproductive health of female entertainment workers in Cambodia: study protocol of a randomized controlled trial
Informed consent for questionnaire survey. (DOCX 21 kb
Factors associated with inconsistent condom use among MSM in multivariable logistic regression model.
<p>Factors associated with inconsistent condom use among MSM in multivariable logistic regression model.</p
Additional file 2: of Mobile Link – a theory-based messaging intervention for improving sexual and reproductive health of female entertainment workers in Cambodia: study protocol of a randomized controlled trial
Informed consent form for focus group discussions and in-depth interviews. (DOCX 20 kb