67 research outputs found

    A comparison of periodontal disease among rural Amish and non-Amish adults

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    Periodontal disease can be more efficiently studied within a homogeneous population where genetic influences and lifestyles are similar enough to negate their effect on the disease process. This study focuses on an Amish population in southern Michigan who isolate themselves from outside influences and their non-Amish neighbors. A total of 425 Amish and 290 non-Amish were contacted resulting in 330 Amish and 215 non-Amish who were examined in their homes giving a participation rate of 76.2%. Ages ranged from 18 to 82 years. Prevalence of periodontal disease tended to be higher among males and increased with age. There were slightly more Amish females (52%) than non-Amish (49%). Means of periodontal conditions for Amish were 1.35 mm for attachment loss, 2.59 mm for pocket depth, 0.24 for calculus, 0.77 for plaque and 0.74 for gingivitis. For non-Amish, the means were 1.03 mm for attachment loss, 2.38 mm for pocket depth, 0.40 for calculus, 0.95 for plaque and 0.87 for gingivitis. It is of interest that the Amish do not practice routine oral hygiene. Only 36.8% of Amish reported brushing at least 1 × a day compared to 84.6% of non-Amish. Similarly, only 8.2% of Amish reported flossing at least 1 × a week compared to 40.8% of non-Amish.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75729/1/j.1600-051X.1994.tb00734.x.pd

    Diet patterns and dental caries in third grade U. S. children

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    The purpose of this study was to investigate further the relationship between intake of sucrose-containing foods and the prevalence of caries in a natural population of children. The study population was made up of 958 Caucasian third grade children from Minneapolis. Diet and brushing information was collected through personal interviews with the children. Four methods of coding diet information were used: (1) Confection Counting (the number of sucrose-containing items consumed during a 24-hour period); (2) Exposure Counting (to collapse sucrose-containing items consumed in a 30-min interval into one sucrose exposure); (3) Minneapolis Oral Retention Estimate (an assessment of usual consumption, 24-hour recall, brushing and consumption of water to estimate likelihood that the individual had sucrose in the oral cavity during a typical day); and (4) Hidden Sugar Estimate (utilization of food composition tables to estimate in teaspoons how much sucrose was consumed during a 24-hour period). The study shows few, if any, relationships existing between consumption of sucrose-containing foods and def or DMF teeth in both mealtime and between-meal periods.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72430/1/j.1600-0528.1974.tb01653.x-i1.pd

    Oral Health Status, Knowledge, and Practices in an Amish Population

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    This study was conducted in the summer of 1985 to assess the oral health status, knowledge, and practices of an Amish population in southwest Michigan. Dental caries experience, periodontal health, and oral hygiene status were recorded using decayed, missing, and filled surfaces (DMFS), periodontal index (PI), and simplified oral hygiene index (OHI-S). Data on oral health knowledge and practices were collected by interviews using a structured questionnaire. Results showed significantly lower levels of disease among Amish. DMFS scores for 5–17-year-old Amish children were almost half that of the US general population (NIDR 1979–80). PI score of all ages combined was 2.0, which was 3.6 times lower than a national sample (1971–74). Lower levels of disease in Amish could be related to their way of life and dietary patterns. A relatively higher level of unmet need for prosthodontic care, inadequate oral health knowledge, and barriers to dental care in the study population emphasize the need for dental public health and health education programs.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/65488/1/j.1752-7325.1988.tb03184.x.pd

    Comparison and relative utility of inequality measurements: as applied to Scotland’s child dental health

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    This study compared and assessed the utility of tests of inequality on a series of very large population caries datasets. National cross-sectional caries datasets for Scotland’s 5-year-olds in 1993/94 (n = 5,078); 1995/96 (n = 6,240); 1997/98 (n = 6,584); 1999/00 (n = 6,781); 2002/03 (n = 9,747); 2003/04 (n = 10,956); 2005/06 (n = 10,945) and 2007/08 (n = 12,067) were obtained. Outcomes were based on the d3mft metric (i.e. the number of decayed, missing and filled teeth). An area-based deprivation category (DepCat) measured the subjects’ socioeconomic status (SES). Simple absolute and relative inequality, Odds Ratios and the Significant Caries Index (SIC) as advocated by the World Health Organization were calculated. The measures of complex inequality applied to data were: the Slope Index of Inequality (absolute) and a variety of relative inequality tests i.e. Gini coefficient; Relative Index of Inequality; concentration curve; Koolman and Doorslaer’s transformed Concentration Index; Receiver Operator Curve and Population Attributable Risk (PAR). Additional tests used were plots of SIC deciles (SIC10) and a Scottish Caries Inequality Metric (SCIM10). Over the period, mean d3mft improved from 3.1(95%CI 3.0–3.2) to 1.9(95%CI 1.8–1.9) and d3mft = 0% from 41.1(95%CI 39.8–42.3) to 58.3(95%CI 57.8–59.7). Absolute simple and complex inequality decreased. Relative simple and complex inequality remained comparatively stable. Our results support the use of the SII and RII to measure complex absolute and relative SES inequalities alongside additional tests of complex relative inequality such as PAR and Koolman and Doorslaer’s transformed CI. The latter two have clear interpretations which may influence policy makers. Specialised dental metrics (i.e. SIC, SIC10 and SCIM10) permit the exploration of other important inequalities not determined by SES, and could be applied to many other types of disease where ranking of morbidity is possible e.g. obesity. More generally, the approaches described may be applied to study patterns of health inequality affecting worldwide populations

    Core outcomes in periodontal trials:study protocol for core outcome set development

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    Abstract Background There are a large number of clinical outcome measures used to assess the effectiveness of prevention and management strategies of periodontal diseases. This heterogeneity causes difficulties when trying to synthesise data for systematic reviews or clinical guidelines, reducing their impact. Core outcome sets are an agreed, standardised list of outcomes that should be measured and reported in all trials in specific clinical areas. We aim to develop a core outcome set for effectiveness trials investigating the prevention and management of periodontal disease in primary or secondary care. Methods To identify existing outcomes we screened the Cochrane systematic reviews and their included studies on the prevention and management of periodontal diseases. The core outcome set will be defined by consensus of key stakeholders using an online e-Delphi process and face-to-face meeting. Key stakeholders involved in the development will include: patients, dentists, hygienists/therapists, specialists, clinical researchers and policy-makers. Stakeholders will be asked to prioritise outcomes and feedback will be provided in the next round(s). Stakeholders will have an opportunity to add outcomes found in the Cochrane review screening process at the end of the first round. If consensus is not reached after the second round we will provide feedback prior to a third round. Remaining outcomes will be discussed at a face-to-face meeting and agreement will be measured via defined consensus rules of outcome inclusion. Discussion The inclusive consensus process should provide a core outcome set that is relevant to all key stakeholders. We will actively disseminate our findings to help improve clinical trials, systematic reviews and clinical guidelines with the ultimate aim of improving the prevention and management of periodontal diseases. Trial registration COMET ( http://www.comet-initiative.org/studies/details/265?result=true ). Registered on August 2012

    Identifying an essential package for school-age child health: economic analysis

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    This chapter presents the investment case for providing an integrated package of essential health services for children attending primary schools in low- and middle- income countries (LMICs). In doing so, it builds on chapter 20 in this volume (Bundy, Schultz, and others 2017), which presents a range of relevant health services for the school- age population and the economic rationale for adminis- tering them through educational systems. This chapter identifies a package of essential health services that low- and middle-income countries (LMICs) can aspire to implement through the primary and secondary school platforms. In addition, the chapter considers the design of such programs, including targeting strategies. Upper- middle-income countries and high-income countries (HICs) typically aim to implement such interventions on a larger scale and to include and promote additional health services relevant to their populations. Studies have docu- mented the contribution of school health interventions to a range of child health and educational outcomes, partic- ularly in the United States (Durlak and others 2011; Murray and others 2007; Shackleton and others 2016). Health services selected for the essential package are those that have demonstrated benefits and relevance for children in LMICs. The estimated costs of implementation are drawn from the academic literature. The concept of a package of essential school health interventions and its justification through a cost-benefit perspective was pioneered by Jamison and Leslie (1990). As chapter 20 notes, health services for school-age children can promote educational outcomes, including access, attendance, and academic achievement, by mitigat- ing earlier nutrition and health deprivations and by addressing current infections and nutritional deficiencies (Bundy, Schultz, and others 2017). This age group is partic- ularly at risk for parasitic helminth infections (Jukes, Drake, and Bundy 2008), and malaria has become prevalent in school-age populations as control for younger children delays the acquisition of immunity from early childhood to school age (Brooker and others 2017). Furthermore, school health services are commonly viewed as a means for build- ing and reinforcing healthy habits to lower the risk of non- communicable disease later in life (Bundy 2011). This chapter focuses on packages and programs to reach school-age children, while the previous chapter, chapter 24 (Horton and Black 2017), focuses on early childhood inter- ventions, and the next chapter, chapter 26 (Horton and others 2017), focuses on adolescent interventions. These packages are all part of the same continuum of care from age 5 years to early adulthood, as discussed in chapter 1 (Bundy, de Silva, and others 2017). A particular emphasis of the economic rationale for targeting school-age children is to promote their health and education while they are in the process of learning; many of the interventions that are part of the package have been shown to yield substantial benefits in educational outcomes (Bundy 2011; Jukes, Drake, and Bundy 2008). They might be viewed as health interventions that leverage the investment in education. Schools are an effective platform through which to deliver the essential package of health and nutrition ser- vices (Bundy, Schultz, and others 2017). Primary enroll- ment and attendance rates increased substantially during the Millennium Development Goals era, making schools a delivery platform with the potential to reach large num- bers of children equitably. Furthermore, unlike health centers, almost every community has a primary school, and teachers can be trained to deliver simple health inter- ventions, resulting in the potential for high returns for relatively low costs by using the existing infrastructure. This chapter identifies a core set of interventions for children ages 5–14 years that can be delivered effectively through schools. It then simulates the returns to health and education and benchmarks them against the costs of the intervention, drawing on published estimates. The invest- ment returns illustrate the scale of returns provided by school-based health interventions, highlighting the value of integrated health services and the parameters driving costs, benefits, and value for money (the ratio of benefits to costs). Countries seeking to introduce such a package need to undertake context-specific analyses of critical needs to ensure that the package responds to the specific local needs
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