scholarly journals Incidence of Tooth Loss in Adults: A 4-Year Population-Based Prospective Cohort Study

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Manoelito Ferreira Silva-Junior ◽  
Marília Jesus Batista ◽  
Maria da Luz Rosário de Sousa

Objective. To verify the incidence of tooth loss in extended age group of adults in 4 years. Materials and Methods. The prospective cohort study assessed adults (20–64 years old) between 2011 and 2015, from Piracicaba, São Paulo, Brazil. The dependent variable was cumulative incidence of tooth loss, assessed by difference between missing teeth (M) of decayed, missing, and filled tooth index (DMFT) in 2011 and 2015. Participants were stratified into young (20–44 years old) and older (45–64 years old) adults. Mann–Whitney U test (p<0.05) was used to compare the means of incidence of tooth loss between age groups. Results. After four years, 57.7% (n=143) of adults were followed up and the mean incidence of tooth loss was 0.91 (SD = 1.65); among these, 51 adults (35.7%) who lost their teeth showed mean tooth loss of 2.55 (SD = 1.86). In older adults, incidence of tooth loss was higher (p=0.008), but no difference between age groups was found when only adults with incidence of tooth loss were assessed (p=0.844). Conclusion. There was higher incidence of tooth loss in older adults after four years, however, without difference between age groups when only those who lost teeth were evaluated.

2018 ◽  
Vol 66 (11) ◽  
pp. 2097-2103 ◽  
Author(s):  
Sara Higueras-Fresnillo ◽  
Verónica Cabanas-Sánchez ◽  
Esther Lopez-Garcia ◽  
Irene Esteban-Cornejo ◽  
José R. Banegas ◽  
...  

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Di Zhao ◽  
Thomas Woolf ◽  
Lindsay Martin ◽  
Eliseo Guallar ◽  
Harold Lehmann ◽  
...  

Background: Small pilot and randomized controlled studies suggest that time-restricted feeding may decrease body weight. However, the role of meal timing and intervals, measured using mobile applications, has not been examined in larger population-based studies. The objective of this study is to evaluate the association between meal intervals and weight trajectories among adults from a population-based clinical cohort. Methods: Multi-site prospective cohort study of adults recruited from three health systems. Over the 6-month study period, 547 participants downloaded and used the Daily24 mobile application to record the timing of meals and sleep for at least one day. Intervals were calculated as the average of all available daily entries for each participant. We obtained information on weight and comorbidities at each outpatient visit from electronic health records available for up to 10 years prior to until 10 months after baseline. We used mixed linear regression to model weight trajectories. Results: The mean (SD) baseline (at consent) age was 51.1 (15.0) years and body mass index (BMI) 30.8 (7.8) kg/m 2 ; 77.9% were women and 77.5% were White. Average time in the cohort was 5.9 years prior to and 0.3 years after baseline. The mean interval from first to last meal was 11.5 (2.3) hours. The associations between meal intervals and weight trajectories are shown in the Table . The number of meals per day was positively associated with weight change before baseline, and number of snacks and drinks per day was inversely associated with weight change after baseline. Each additional occasion of snacks and drinks was associated with a 3.20 kg weight decrease (95% CI 1.41 to 4.99). None of the other associations were statistically significant. Conclusions: Number of daily meals was positively associated with weight change in previous periods, while the number of daily snacks and drinks was inversely associated with weight trajectory. The intervals from first to last meal was not associated with weight change.


2018 ◽  
Vol 27 (12) ◽  
pp. 3293-3302 ◽  
Author(s):  
Sara Higueras-Fresnillo ◽  
Verónica Cabanas-Sánchez ◽  
Esther García-Esquinas ◽  
Fernando Rodríguez-Artalejo ◽  
David Martinez-Gomez

2020 ◽  
Author(s):  
Kate Gregorevic ◽  
Ruth E Hubbard ◽  
Nancye M Peel ◽  
Wei Tong Lau ◽  
Jethro Wu ◽  
...  

Abstract Background: Although frailty is predictive of poorer outcomes for hospitalised older adults, it does not account for all variation in outcomes. Health assets are protective factors associated with wellbeing that may moderate frailty associated mortality and functional decline Objective: To determine whether frail older adults with a higher number of health assets have improved outcomes Design: Prospective cohort study Methods: Adults aged 70 and older with an unplanned admission to hospital were included. Recruitment took place on general medical, orthogeriatric and subacute wards of two hospitals in Australia. The Health Assets Index (HAI), frailty, functional status and covariates were measured at the time of recruitment. Outcomes were mortality at 30 days and functional decline at the time of discharge. Results: There were 298 participants, with an average age of 84.7 and 66% were women. 80.1% were frail. The mean score on the HAI was 10.86 with a range of 5.5-15. 56.4% of participants had functional decline on discharge from hospital with 30 day mortality of 5.7%. There was an inverse relationship between frailty and health assets. Neither frailty or a higher number of health assets alone predicted outcomes. In a post-hoc analysis to account for interaction, a higher number of health assets was protective against mortality for the least frail. This relationship was reversed at higher levels of frailty. Conclusions: A higher number of Health Assets correlated with a lower level of frailty. Although Health Assets alone did not predict mortality, this relationship may be moderated by frailty.


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