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Background
Few studies have assessed trajectories of alcohol use in the general population, and even fewer studies have assessed the impact of brief intervention on the trajectories. Especially for low-risk drinkers, it is unclear what trajectories occur, whether they benefit from intervention, and if so, when and how long. The aims were first, to identify alcohol use trajectories among at-risk and among low-risk drinkers, second, to explore potential effects of brief alcohol intervention and, third, to identify predictors of trajectories.
Methods
Adults aged 18-64 years were screened for alcohol use at a municipal registration office. Those with alcohol use in the past 12 months (N = 1646; participation rate: 67%) were randomized to assessment plus computer-generated individualized feedback letters or assessment only. Outcome was drinks/week assessed at months 3, 6, 12, and 36. Alcohol risk group (at-risk/low-risk) was determined using the Alcohol Use Disorders Identification Test–Consumption. Latent class growth models were estimated to identify alcohol use trajectories among each alcohol risk group. Sex, age, school education, employment status, self-reported health, and smoking status were tested as predictors.
Results
For at-risk drinkers, a light-stable class (46%), a medium-stable class (46%), and a high-decreasing class (8%) emerged. The light-stable class tended to benefit from intervention after 3 years (Incidence Rate Ratio, IRR=1.96; 95% Confidence Interval, CI: 1.14–3.37). Male sex, higher age, more years of school, and current smoking decreased the probability of belonging to the light-stable class (p-values<0.05). For low-risk drinkers, a very light-slightly increasing class (72%) and a light-increasing class (28%) emerged. The very light-slightly increasing class tended to benefit from intervention after 6 months (IRR=1.60; 95% CI: 1.12–2.28). Male sex and more years of school increased the probability of belonging to the light-increasing class (p-value < 0.05).
Conclusion
Most at-risk drinkers did not change, whereas the majority of low-risk drinkers increased alcohol use. There may be effects of alcohol feedback, with greater long-term benefits among persons with low drinking amounts. Our findings may help to identify refinements in the development of individualized interventions to reduce alcohol use.
Ziel dieser Studie war es, zu untersuchen, wie sich die Mundgesundheit und der zahnmedizinische Therapiebedarf in Deutschland entwickeln werden. In der Arbeit wurden Projektionen zur Entwicklung der Morbidität, der Mundgesundheit und dem Therapiebedarf auf Grundlage der repräsentativen Daten aus den Deutschen Mundgesundheitsstudien III (1997) und IV (2005), den epidemiologischen Begleituntersuchungen zur Gruppenprophylaxe durch die DAJ (2004-2009), den Jahrbüchern der KZBV (2003-2010), den Zahlenberichten der PKV (2006-2011) sowie den Prognosen der Bevölkerungsentwicklung vom Bundesamt für Statistik [2006] vorgenommen. Die Auswertung der Resultate hat ergeben, dass der Trend zur Verbesserung der Mundgesundheit in den nächsten 20 Jahren weiter durch alle Bevölkerungsschichten voranschreiten wird. Am stärksten wird sich die Verbesserung der Mundgesundheit bei Kindern und Jugendlichen (0,3 DMFT bei 12-Jährigen im Jahr 2030) und am schwächsten bei der Risikogruppe der Senioren (22 DMFT) zeigen. Die Anzahl der fehlenden Zähne wird bei Erwachsenen und Senioren stark zurückgehen, besonders in der Basisgruppe der Senioren von 14,1 MT (1997) auf 3,1 (2030). Die Anzahl der gefüllten Zähne wird im Durchschnitt zumeist konstant bleiben. Während Kinder und vor allem die Basisgruppe der Erwachsenen mit 12,3 FT (1997) auf 10,1 (2030) eine Reduktion von Füllungen erleben werden, wird in der Risikogruppe der Erwachsenen und bei Senioren mit deutlich mehr Füllungen gerechnet, insbesondere da hier auch mehr Zähne in Zukunft vorhanden sein werden. Die Verbesserung der Mundgesundheit kann insgesamt zu einem Rückgang des Prothetikbedarfs und zugleich zu einer Verschiebung vom herausnehmbaren zum festsitzenden Zahnersatz führen.
Prediction of high caries increment in adults – a 5-year longitudinal study from North-East Germany
(2013)
The aim of this study is to develop an easily applicable prediction model for high coronal caries increment in adults (20-79 years) from a representative sample (N=2,565) to identify a high risk-group for specific caries prevention. The data from SHIP-0 (1997-2001) and the 5-year follow-up SHIP-1 (2002-2006) is used for analyses. The oral health examination was conducted according to WHO criteria [1997]. The drop-out analysis reveals that drop-outs are significantly older, have a lower school education, are more frequently current smokers, but have a better self-perception of their teeth. The majority of the study-population (76%) has caries incidence in this 5-year period. Caries increment shows a polarized distribution, as the high caries increment group (≥9 surfaces in half-mouth, 11.4% of the sample) comprise 40% of the total increment. The variables male gender, age ≥40 years, lower school education or lower income, current smoking, pain-associated dental visit, baseline caries experience and a non-satisfying self-perception of teeth show a statistically significant influence on high caries increment. The prediction model allows a fair to good prediction on an epidemiological level for men (AUC=0.75). The factors smoking, school education and pain-associated visit only have a significant impact on the prediction of high caries increment in men. Due to very high caries prevalence and increment a population-based prevention in adults should be optimized first, before risk-group specific preventive programmes might be implemented.
Quality of Life in Young Adults With Cerebral Palsy: A Longitudinal Analysis of the SPARCLE Study
(2021)
Introduction: While most people with cerebral palsy (CP) will have a life expectancy similar to that of the general population, international research has primarily focused on childhood and adolescence; and knowledge about the quality of life (QoL) of young adults with CP, its trajectories, and associated factors remains scarce.
Methods: This longitudinal study included young adults with CP living in five European regions and who had previously participated in the SPARCLE cohort as children and/or adolescents. Their QoL in the psychological well-being and social relationships domains was estimated using age-appropriate validated instruments (KIDSCREEN-52 in childhood/adolescence and WHOQOL-Bref in young adulthood). We used generalized linear mixed-effect models with random intercept to estimate long-term trajectories of QoL in both domains and to investigate whether severity of impairment, pain, and seizure influenced these trajectories. We sought to identify potentially different trajectories of QoL from childhood to adulthood using a shape-based clustering method.
Results: In total, 164 young adults with CP aged 22–27 years participated in the study. Psychological well-being linearly decreased by 0.78 points (scale 0–100) per year (95% confidence interval (CI) −0.99 to −0.56) from childhood to young adulthood, whereas QoL in the social relationships domain increased (β coefficient 1.24, 95% CI 0.92–1.55). Severity of impairment was associated with reduced QoL in all life periods of the study (childhood, adolescence, and young adulthood): motor impairment with social relationships, and more nuancedly intellectual disability with psychological well-being and social relationships. At all periods, frequent pain significantly reduced psychological well-being, and seizures were associated with lower QoL in the social relationships domain. In both domains, we identified a group of individuals with CP who presented a reverse trajectory compared with the general QoL trajectory.
Conclusion: Identification of QoL trajectories and their associated factors yields improved knowledge about the experience of individuals with CP until young adulthood. Further studies are needed to better understand the determinants that have the greatest influence on the different shapes of long-term trajectories of QoL.