Hall et al. [ 23] were the first to quantify socio-demographic prevalence data for fruit and vegetable consumption in 52 WHS countries, also noting a trend for decreased risk factor prevalence with increased household wealth status, and prevalence rates of low fruit and vegetable consumption in excess of 70%.
Descriptive statistics and confidence intervals were used to analyse participant characteristics, demographics, prevalence of needs and perceptions of life expectancy.
The Chronic Disease Model is a population-based, Markov-type state-transition model that forecasts the development over time in demographics, prevalence of risk factors, disease incidences, and mortality [ 19].
The baseline demographics, prevalence of cardiac risk factors and use of aspirin, clopidogrel, β-blockers, calcium channel blockers, angiotensin-converting enzyme inhibitors and statins between the groups were not statistically different (Table 1).
For patient characteristics (e.g., demographics, prevalence of diabetes and low-vision), descriptive statistics were weighted by the number of patients or clients estimated to be personally seen by participants.
Maternal characteristics—including demographics, prevalence of potential prescription opioid indications (pain conditions), individual prescription opioid agents dispensed, and additional risk factors for neonatal abstinence syndrome were summarized and described for each of the five study groups.
The Health Improvement Network (THIN), an electronic database containing anonymised patient records from general practices across the UK, was used for this study, covering approximately 6% of the population, 24 representative of the UK population in terms of demographics, prevalence of common illnesses, and fertility rates.
A cross-sectional study of 525 male migrant workers, ≥21 years old and of Indian, Bangladeshi or Myanmar nationality, was conducted at a dormitory via self-administered questionnaires covering demographics, prevalence of medical conditions and health-seeking behaviours through hypothetical scenarios and personal experience.
The design described here, which can be readily adjusted to accommodate new waves of refugees and changes in dominant languages, enables a rapid method of collecting key information, including demographics, prevalence of mental disorders and perceived need for mental health care, using a convenience sample of refugees from a local community health service population.
The demographic data, prevalence of psychotropic drug use, mean number of regular medications and prevalence of polypharmacy are presented in Tables 1 and 2 and are similar to those presented at baseline, although at time-point 3, there was a significant difference in mean age of the residents in care homes 3 (90.4 years) and 5 (83.2 years) [Kruskal-Wallis test, p = 0.02].
