We used a random effects Poisson regression model to study the relationship between pandemic A (H1N1) 2009 mortality rates and a set of environmental, health care-associated, economic and demographic country-level parameters.
Use large public data sources to figure out where (what demographics, countries, etc).
Information about demographics, country of birth, time lived in the United States, parity, and health-related behaviors was collected.
We extracted study level data according to a pre-specified template, which included participant demographics, country of origin, clinical setting and inclusion criteria.
We extracted the data elements of cohort name, sample size, and population demographics (country, percentage male, mean age or age range).
The questionnaire included basic demographics, country of birth, length of time in New Zealand and number of years of education since age 5 years.
The questionnaire covered a range of questions (39 questions in total), including patient demographics (country, type of disease, etc)., medication and satisfaction with the current medication.
For the prevalence of sarcopenia category, data were recorded on demographics (country, gender and age), assessment method used for each domain (muscle mass, muscle strength and physical performance) and sarcopenia prevalence.
Delphi panel participants represented a broad demographic of countries and health care disciplines (Table 2).
In general, we know that over the demographic transition countries move from low F and high H to high F and low H.
