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ABSTRACT

BackgroundIn this paper, the basic elements related to the selection of participants for a health research are discussed. Sample representativeness, sample frame, types of sampling, as well as the impact that non-respondents may have on results of a study are described. The whole discussion is supported by practical examples to facilitate the reader's understanding.ObjectiveTo introduce readers to issues related to sampling.

Together with other social categories, race has been at the core of much scholarly work in the area of humanities and social sciences, as well as a host of applied disciplines. In dentistry, debates have ranged from the use of race as a criterion for the recommendation of specific dental procedures to a means of assessing inequalities in a variety of outcomes. What is missing in these previous discussions, though, is a broader understanding of race that transcends relations with genetic makeup and other individual-level characteristics. In this review, we provide readers with a critique of the existing knowledge on race and oral health by answering the following 3 guiding questions: (1) What concepts and ideas are connected with race in the field of dentistry? (2) What can be learned and what is absent from the existing literature on the topic? (3) How can we enhance research and policy on racial inequalities in oral health? Taken together, the reviewed studies rely either on biological distinctions between racial categories or on other individual characteristics that may underlie racial disparities in oral health. Amidst a range of individual-level factors, racial inequalities have often been attributed to lower socioeconomic status and "health-damaging" cultural traits, for instance, patterns of and reasons for dental visits, dietary habits, and oral hygiene behaviors. While this literature has been useful in documenting large and persistent racial gaps in oral health, wider sociohistorical processes, such as systemic racism, as well as their relationships with economic exploitation, social stigmatization, and political marginalization, have yet to be operationalized among studies on the topic. A nascent body of research has recently begun to address some of these factors, but limited attention to structural theories of racism means that many more studies are needed to effectively mitigate racial health differentials.

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m 2 . In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, the...

The objective of this study was to assess the relation between dental pain, dental caries and socioeconomic status among 12- and 13-year-old schoolchildren enrolled in a public school in Florianópolis, SC, Brazil in 2002. This study was a cross-sectional study involving 181 schoolchildren. Dental pain experience was the dependend variable analyzed. Socioeconomic data of the children's families were obtained through a questionnaire. Dental caries experience was registered according to the DMFT index (WHO, 1997). The field workteam consisted of an examiner and a recorder. The statistical analysis was performed using the chi-square test and the non-conditional multiple logistic regression. The response rate was 93.4%. The intraexaminer agreement measured on a tooth by tooth basis was high (kappa > 0.73). Dental pain prevalence was 33.7% (CI95% 26.0-42.0). The multiple regression analysis, adjusted by sex and other variables, showed that children with DMFT > 1 presented 2.9 (OR CI95% 1.4-6.1, p < 0.01) more chances of having dental pain when compared with those with DMFT < 1. Children whose mother's schooling level was equal or less than 4 years presented 2.5 (OR CI95% 1.2-5.6, p = 0.02) more chances of having dental pain when compared with others whose mothers had more than 5 years of schooling and, finally, children whose family income was up to U$ 67.00 showed 3.2 (OR CI95% 1.2-8.4, p = 0.02) more chances of having dental pain when compared with the ones whose families had higher income. High levels of caries attack, low mother schooling level and low family income were associated to dental pain.

This study estimated the lifetime prevalence of toothache at ages 6 and 12 yr, the prevalence of toothache during the last month, and their association with social, behavioural and clinical exposures in the course of life of 339 12-yr-old children from a birth cohort in Pelotas, Brazil. Exploratory variables were collected in the perinatal study and during several follow-up studies. Prevalence ratios were calculated using Poisson regression, following a hierarchical conceptual model. The lifetime prevalence of toothache at ages 6 and 12 yr were 39% [95% confidence interval (CI) = (34;45)] and 63% [95% CI = (58;69)], respectively. Toothache during the last month was reported by 11% [95% CI = (8;15)]. Children who did not live with their biological father at birth, and children with higher dmf-t counts, reported a higher lifetime prevalence of toothache at age 6 yr. Children experiencing poverty between ages 0 and 4 yr, with higher dmf-t and DMF-T indexes presented a greater lifetime prevalence of toothache at 12 yr. Toothache within the last month was more likely to be reported by girls and by children who did not live with their biological father at birth. Preventive strategies should be implemented in early stages of the life cycle, taking into account the socio-economic and family context in which pain mostly occurs.

OBJECTIVE:To develop an instrument to assess discrimination effects on health outcomes and behaviors, capable of distinguishing harmful differential treatment effects from their interpretation as discriminatory events. METHODS:Successive versions of an instrument were developed based on a systematic review of instruments assessing racial discrimination, focus groups and review by a panel comprising seven experts. The instrument was refi ned using cognitive interviews and pilot-testing. The fi nal version of the instrument was administered to 424 undergraduate college students in the city of Rio de Janeiro, Southeastern Brazil, in 2010. Structural dimensionality, two types of reliability and construct validity were analyzed. RESULTS:Exploratory factor analysis corroborated the hypothesis of the instrument's unidimensionality, and seven experts verified its face and content validity. The internal consistency was 0.8, and test-retest reliability was higher than 0.5 for 14 out of 18 items. The overall score was higher among socially disadvantaged individuals and correlated with adverse health behaviors/conditions, particularly when differential treatments were attributed to discrimination. CONCLUSIONS:These fi ndings indicate the validity and reliability of the instrument developed. The proposed instrument enables the investigation of novel aspects of the relationship between discrimination and health. DESCRIPTORS:Prejudice. Interpersonal Relations. Socioeconomic Factors. Health Inequalities. Explicit discrimination and health Bastos JL et alThe discrimination construct is closely related to the idea of injustice and, as such, has been conceptualized as the "process by which a member, or members, of a socially defi ned group is, or are, treated differently (especially unfairly) because of his/ her/ their membership of that group." 15 It has been studied worldwide in several fi elds of knowledge, such as anthropology, epidemiology, sociology and psychology, with extensive literature documenting important discrimination effects on people's daily lives. For instance, discrimination has been associated with negative health outcomes, 25 diffi cult access to the labor market, 6 and residential segregation. 25 Disc riminatory practices may be based on characteristics such as gender, age, physical appearance, race, ethnicity, social class, and other socially ascribed or acquired characteristics. These multiple types of discrimination may also be combined and experienced all at once by their victims. 4 Yet, discriminatory practices and their behavioral and cognitive responses may vary depending on the social context and historical time period.A systematic review of instruments assessing racial discrimination 3 found no widely employed instrument RESUMO OBJETIVO: Desenvolver instrumento para avaliar os efeitos de experiências discriminatórias sobre condições e comportamentos em saúde, capaz de distinguir efeitos patológicos da exposição a tratamentos diferenciais de sua interpretação como eventos discriminatórios. MÉ...