19 research outputs found

    Total residual spatial effects, at state level in Nigeria, of obesity/overweight.

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    <p>Shown are the posterior odds ratios (left) and corresponding posterior probabilities at 80% nominal level (right).</p

    Marginal and posterior odds ratios of overweight/obesity across selected covariates (NDHS, 2008).

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    ‡<p>Adjusted marginal odds ratio (OR) from standard logistic regression models.</p>†<p>Spatially adjusted posterior odds ratio (OR) from Bayesian geo-additive regression models after controlling for nonlinear effect of age, categorical variables and the province of residence (spatial effects).</p

    Baseline characteristics of the study population by overweight/obesity status (NDHS 2008)<sup>*</sup>.

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    <p>*Data are expressed as mean (standard deviation) or as percentages.</p>†<p><i>P</i>-values for comparison between overweight/obese and normal weight subjects.</p

    Baseline characteristics of the study population (NDHS, 2008)<sup>*</sup>.

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    <p>* Data are expressed as mean (standard deviation) or as percentages.</p>†<p>Age ranges from 15 to 49 years of age.</p>‡<p>Age ranges from 15 to 95 years of age.</p

    Map of Nigeria by states.

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    <p>1, Akwa Ibom. 2, Anambra. 3, Bauchi. 4, Gombe. 5, Edo. 6, Benue. 7, Borno.-River. 9, Adamawa. 10, Imo. 11, Kaduna. 12, Kano. 13, Katsina. 14, Kwara. 15, Lagos. 16, Niger. 17, Ogun. 18, Ondo. 19, Ekiti. 20, Oyo. 21, Nassarawa. 22, Plateau. 23, Bayelsa. 24, Rivers. 25, Sokoto. 26, Zamfara. 27, Abia. 28, Delta. 29, Ebonyi. 30, Enugu. 31, Jigawa. 32, Kebbi. 33, Kogi. 34, Osun. 35, Taraba. 36, Yobe. 37, Abuja.</p

    Additional file 2: of Private retail drug shops: what they are, how they operate, and implications for health care delivery in rural Uganda

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    Client Exit Interview Tool This is the questionnaire that was administered to drug shop clients at their exit from the drug shop when they came to purchase medicines or drugs for under-five children, during the study period. (DOC 520 kb)
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