Dataset Information

Trends in Dental Implant Use in the U.S., 1999-2016, and Projections to 2026.

ABSTRACT: Dental implants have become an increasingly popular treatment choice for replacing missing teeth. Yet, little is known about the prevalence and sociodemographic distribution of dental implant use in the United States. To address this knowledge gap, we analyzed data from 7 National Health and Nutrition Examination Surveys from 1999 to 2016. We estimated dental implant prevalence among adults missing any teeth for each survey period overall as stratified by sociodemographic characteristics. We calculated absolute and relative differences from 1999-2000 to 2015-2016 and fit logistic regression models to estimate changes over time. We also used multivariable logistic regression to estimate independent associations of sociodemographic covariates with the presence of any implant. We projected the proportion of patients treated with dental implants into the year 2026 under varying assumptions of how the temporal trend would continue. There has been a large increase in the prevalence of dental implants, from 0.7% in 1999 to 2000 to 5.7% in 2015 to 2016. The largest absolute increase in prevalence (12.9%) was among individuals 65 to 74 y old, whereas the largest relative increase was ~1,000% among those 55 to 64 y old. There was an average covariate-adjusted increase in dental implant prevalence of 14% per year (95% CI, 11% to 18%). Having private insurance (vs. none or public insurance) or more than a high school education (vs. high school or less) was each associated with a 2-fold increase in prevalence, with an almost 13-fold (95% CI, 8 to21) increase for older adults. Dental implant prevalence projected to 2026 ranged from 5.7% in the most conservative scenario to 23% in the least. This study demonstrates that dental implant prevalence among US adults with missing teeth has substantially increased since 1999. Yet access overall is still very low, and prevalence was consistently higher among more advantaged groups.

SUBMITTER: Elani HW

PROVIDER: S-EPMC6854267 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Trends in Dental Implant Use in the U.S., 1999-2016, and Projections to 2026.

Elani H W HW Starr J R JR Da Silva J D JD Gallucci G O GO

Journal of dental research 20180803 13

Dental implants have become an increasingly popular treatment choice for replacing missing teeth. Yet, little is known about the prevalence and sociodemographic distribution of dental implant use in the United States. To address this knowledge gap, we analyzed data from 7 National Health and Nutrition Examination Surveys from 1999 to 2016. We estimated dental implant prevalence among adults missing any teeth for each survey period overall as stratified by sociodemographic characteristics. We cal ...[more]

PMID: 30075090

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Project description:IntroductionWe examined trends in seven mutually exclusive tobacco product use patterns (T-PUPs) in nationally representative samples of U.S. youth over time and age.MethodsWe used time varying effect modeling on National Youth Tobacco Surveys, 1999-2014 (N = 38662, 9-17 years, M = 15.02). Regression coefficients were estimated as a non-parametric function of time. T-PUPs were cigarette only, non-cigarette combustible only, noncombustible only, non-cigarette combustible and noncombustible dual, cigarette and noncombustible dual, cigarette and non-cigarette combustible dual, and POLY (i.e. cigarettes, non-cigarette combustibles, and noncombustibles) use.ResultsAmong youth tobacco users, cigarette only use was the predominant T-PUP from 1999 to 2010. After 2010 and 2013, non-cigarette combustible only (AOR 1.38, CI = 1.02-1.87) and noncombustible only (AOR 1.57, CI = 1.00-2.45) use became more prevalent than cigarette only use. In 2011, dual and POLY T-PUPs were on the rise although not significantly different from cigarette only use. Cigarette only use was the predominant T-PUP among 11- to 17-year-old tobacco users. Non-cigarette combustible only (AOR 0.14, CI = 0.10-0.19), noncombustible only (AOR 0.01, CI = 0.008-0.02), non-cigarette combustible and noncombustible (AOR 0.01, CI = 0.01-0.03), cigarette and noncombustible (AOR 0.02, CI = 0.01-0.04), cigarette and non-cigarette combustible (AOR 0.32, CI = 0.24-0.43), and POLY (AOR 0.02, CI = 0.01-0.04) use were less prevalent than cigarette only use at age 17.ConclusionsNon-cigarette, dual, and POLY T-PUPs are rising among youth tobacco users. Screening for all tobacco use and delivering treatment during pediatrician visits should be standard clinical practice.ImplicationsTracking trends in tobacco product use patterns (T-PUPs) over time and age is necessary to achieve Healthy People 2020 goal of reducing tobacco use among youth. Trends over time show a rise of non-cigarette T-PUPs especially noncombustible products but cigarette only use remains the most prevalent among 11- to 17-year-old tobacco users. The recent extension of FDA's regulatory jurisdiction over all tobacco products (e.g. e-cigarettes, hookah) is a step toward comprehensive tobacco control especially among youth. Public health practitioners should extend prevention and cessation efforts among youth to T-PUPs beyond exclusive cigarette smoking.

Project description:BackgroundUpdating national trends in diabetes management is important for identifying areas of progress and remaining gaps in diabetes care.ObjectiveEvaluate trends in diabetes management.DesignThree nationally representative, serial cross-sectional surveys (National Health and Nutrition Examination Survey [n = 5800], National Health Interview Survey [n = 48,519], and Behavioral Risk Factor Surveillance System [n = 741,497]) were used to estimate trends in diabetes management from 1999 to 2016.ParticipantsNon-pregnant US adults (aged ≥ 18 years) diagnosed with diabetes.Main measuresAmerican Diabetes Association's general recommendations for glycemic and cardiovascular risk factor control, medication usage, physical activity, preventive practices, and dietary intake.Key resultsFrom 1999 to 2016, the proportion of US adults with diabetes who attained glycemic control (HbA1c < 7.0%) followed a quadratic trend (49.6% in 1999-2004 to 58.6% in 2005-2010 to 55.8% in 2011-2016, P < 0.05 for trend). Control of blood pressure (< 140/90 mmHg) and lipids (LDL cholesterol < 100 mg/dl) increased by 6.6 and 18.7 percentage points, respectively (P < 0.05 for trends). The proportion that attained glycemic, blood pressure, and lipid control followed a quadratic trend (13.3% in 1999-2004 to 24.8% in 2005-2010 to 20.2% in 2011-2016, P < 0.05 for trend). Use of antidiabetic, antihypertensive, and statin medication among those who were eligible rose by 8.6, 5.0, and 24.0 percentage points, respectively (P < 0.05 for trends). Aerobic inactivity declined 7.1 percentage points, while adherence to aerobic activity (≥ 150 min/week) and resistance training (≥ 2 times/week) recommendations grew 3.4 and 3.2 percentage points, respectively (P < 0.05 for trends). Engagement in preventive practices (e.g., receipt of vaccinations) consistently increased for 6 out of 8 outcomes. However, the adherence to saturated fat (< 10% of total daily calories) and sodium (< 2300 mg/day) recommendations fell by 6.5 and 5.2 percentage points (P < 0.05 for trends).ConclusionsDespite notable improvements, declines in glycemic control and adherence to dietary recommendations may be growing challenges in diabetes care.

Project description:ImportanceMonitoring trends in prescription analgesic use among adults with musculoskeletal conditions provides insight into how changing prescribing practices, guidelines, and policy measures may affect those who need pain management.ObjectiveTo evaluate trends in prescription opioid use and nonopioid analgesic use among adults with functional limitations attributable to musculoskeletal conditions.Design, setting, and participantsThis repeated cross-sectional study uses data from the National Health and Nutrition Examination Study from 1999 to 2016. Data were analyzed from January to July 2019. The participants were adults aged 30 to 79 years who reported functional limitations due to back or neck problems and/or arthritis or rheumatism.Main outcomes and measuresAny use of a prescription opioid or exclusive use of a prescription nonopioid analgesic.ResultsIn this population of 7256 adults with 1 or more functional limitations attributable to a musculoskeletal condition (4226 women [59.9%]; 3508 [74.4%] non-Hispanic white individuals; median [interquartile range] age, 63 [53-70] years), opioid use and exclusive nonopioid analgesic use exhibited approximately reciprocal patterns of change from 1999 to 2016. Opioid use increased significantly (difference in prevalence for 2015-2016 vs 1999-2000, 7.2%; 95% CI, 1.3% to 13%; P for trend = .002), and exclusive use of nonopioid analgesics decreased significantly (difference in prevalence for 2015-2016 vs 1999-2000, -13%; 95% CI, -19% to -7.5%; P for trend < .001) during this period. The increase in any opioid use was driven by long-term rather than short-term use. A crossover in the prevalence of opioid use and exclusive use of nonopioid analgesics occurred between 2003 and 2006, after which opioid use was more prevalent. Between 2013 and 2016, decreases in opioid use were observed among men (difference in prevalence for 2015-2016 vs 2013-2014, -11%; 95% CI, -21% to 1.8%) and participants with less than a high school education (difference, -15%; 95% CI, -24% to -6.1%). During this same period, exclusive nonopioid analgesic use also decreased markedly across the population (difference, -5.3%; 95% CI, -9.1% to -1.5%).Conclusions and relevanceThe substitution of opioids for nonopioid analgesics between 2003 and 2006 may have occurred as evidence emerged on the cardiovascular risks associated with nonopioid analgesics. Reductions in opioid use between 2013 and 2016 were most substantial among those with low socioeconomic status, who may encounter barriers in accessing alternatives. Despite those decreases, opioid use remained more prevalent in 2015 to 2016 than in 1999 to 2000, suggesting a potentially long tail for the opioid epidemic.

Project description:BackgroundDocumenting current trends in diabetes treatment and risk-factor control may inform public health policy and planning.MethodsWe conducted a cross-sectional analysis of data from adults with diabetes in the United States participating in the National Health and Nutrition Examination Survey (NHANES) to assess national trends in diabetes treatment and risk-factor control from 1999 through 2018.ResultsDiabetes control improved from 1999 to the early 2010s among the participants but subsequently stalled and declined. Between the 2007-2010 period and the 2015-2018 period, the percentage of adult NHANES participants with diabetes in whom glycemic control (glycated hemoglobin level, <7%) was achieved declined from 57.4% (95% confidence interval [CI], 52.9 to 61.8) to 50.5% (95% CI, 45.8 to 55.3). After major improvements in lipid control (non-high-density lipoprotein cholesterol level, <130 mg per deciliter) in the early 2000s, minimal improvement was seen from 2007-2010 (52.3%; 95% CI, 49.2 to 55.3) to 2015-2018 (55.7%; 95% CI, 50.8 to 60.5). From 2011-2014 to 2015-2018, the percentage of participants in whom blood-pressure control (<140/90 mm Hg) was achieved decreased from 74.2% (95% CI, 70.7 to 77.4) to 70.4% (95% CI, 66.7 to 73.8). The percentage of participants in whom all three targets were simultaneously achieved plateaued after 2010 and was 22.2% (95% CI, 17.9 to 27.3) in 2015-2018. The percentages of participants who used any glucose-lowering medication or any blood-pressure-lowering medication were unchanged after 2010, and the percentage who used statins plateaued after 2014. After 2010, the use of combination therapy declined in participants with uncontrolled blood pressure and plateaued for those with poor glycemic control.ConclusionsAfter more than a decade of progress from 1999 to the early 2010s, glycemic and blood-pressure control declined in adult NHANES participants with diabetes, while lipid control leveled off. (Funded by the National Heart, Lung, and Blood Institute.).

Project description:Importance:Prior studies of dietary trends among US youth have evaluated major macronutrients or only a few foods or have used older data. Objective:To characterize trends in diet quality among US youth. Design, Setting, and Participants:Serial cross-sectional investigation using 24-hour dietary recalls from youth aged 2 to 19 years from 9 National Health and Nutrition Examination Survey (NHANES) cycles (1999-2016). Exposures:Calendar year and population sociodemographic characteristics. Main Outcomes and Measures:The primary outcomes were the survey-weighted, energy-adjusted mean consumption of dietary components and proportion meeting targets of the American Heart Association (AHA) 2020 continuous diet score (range, 0-50; based on total fruits and vegetables, whole grains, fish and shellfish, sugar-sweetened beverages, and sodium). Additional outcomes were the AHA secondary score (range, 0-80; adding nuts, seeds, and legumes; processed meat; and saturated fat) and Healthy Eating Index (HEI) 2015 score (range, 0-100). Poor diet was defined as less than 40% adherence (scores, <20 for primary and <32 for secondary AHA scores); intermediate as 40% to 79.9% adherence (scores, 20-39.9 and 32-63.9, respectively); and ideal, as at least 80% adherence (scores, ?40 and ?64, respectively). Higher diet scores indicate better diet quality; a minimal clinically important difference has not been quantified. Results:Of 31?420 youth aged 2 to 19 years included, the mean age was 10.6 years; 49.1% were female. From 1999 to 2016, the estimated AHA primary diet score significantly increased from 14.8 (95% CI, 14.1-15.4) to 18.8 (95% CI, 18.1-19.6) (27.0% improvement), the estimated AHA secondary diet score from 29.2 (95% CI, 28.1-30.4) to 33.0 (95% CI, 32.0-33.9) (13.0% improvement), and the estimated HEI-2015 score from 44.6 (95% CI, 43.5-45.8) to 49.6 (95% CI, 48.5-50.8) (11.2% improvement) (P?<?.001 for trend for each). Based on the AHA primary diet score, the estimated proportion of youth with poor diets significantly declined from 76.8% (95% CI, 72.9%-80.2%) to 56.1% (95% CI, 51.4%-60.7%) and with intermediate diets significantly increased from 23.2% (95% CI, 19.8%-26.9%) to 43.7% (95% CI, 39.1%-48.3%) (P?<?.001 for trend for each). The estimated proportion meeting ideal quality significantly increased but remained low, from 0.07% (95% CI, 0.01%-0.49%) to 0.25% (95% CI, 0.10%-0.62%) (P?=?.03 for trend). Persistent dietary variations were identified across multiple sociodemographic groups. The estimated proportion of youth with a poor diet in 2015-2016 was 39.8% (95% CI, 35.1%-44.5%) for ages 2 to 5 years (unweighted n?=?666), 52.5% (95% CI, 46.4%-58.5%) for ages 6 to 11 years (unweighted n?=?1040), and 66.6% (95% CI, 61.4%-71.4%) for ages 12 to 19 years (unweighted n?=?1195), with persistent differences across levels of parental education, household income, and household food security status. Conclusions and Relevance:Based on serial NHANES surveys from 1999 to 2016, the estimated overall diet quality of US youth showed modest improvement, but more than half of youth still had poor-quality diets.

Dataset Information

Trends in Dental Implant Use in the U.S., 1999-2016, and Projections to 2026.

Publications

Trends in Dental Implant Use in the U.S., 1999-2016, and Projections to 2026.

Similar Datasets

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