Impact of heavy smoking on the clinical, microbiological and immunological parameters of patients with dental implants: a prospective cross-sectional study

2015 ◽  
Vol 7 (4) ◽  
pp. 401-409 ◽  
Author(s):  
Javier Ata-Ali ◽  
Antonio Juan Flichy-Fernández ◽  
Teresa Alegre-Domingo ◽  
Fadi Ata-Ali ◽  
Miguel Peñarrocha-Diago
Keyword(s):  
Dental Implants ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Immunological Parameters ◽  
Cross Sectional ◽  
Heavy Smoking

scholarly journals Association between Food Preferences, Eating Behaviors and Socio-Demographic Factors, Physical Activity among Children and Adolescents: A Cross-Sectional Study

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 640 ◽  
Author(s):  
Chao Qiu ◽  
Min Hou
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Eating Behaviors ◽  
Food Preferences ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Picky Eating ◽  
Heavy Smoking ◽  
Vegetable Juice

The prevalence of overweight and obesity is a serious health issue among children and adolescents worldwide. This study aimed to investigate factors influencing weight status-associated food preferences and eating behaviors. A cross-sectional study was conducted to collect data from 2578 pairs of Chinese children and parents in five cities from December 2018 to March 2019. There was an increase in consumptions of processed seafood, nuts and dried fruit/vegetables, and fruit/vegetable juice, but a reduction of consuming puffed and processed meat products, sugar/artificially sweetened beverages and milk tea, and picky eating. These food preferences differentiate between sexes. Picky eating behavior was greatly presented in children of lower educated mothers or heavy-smoking fathers. Children of the lower educated fathers consumed less processed seafood and dairy products, and those of the heavy-smoking fathers consumed more puffed products, but less fruit/vegetable juice, and had greater snack preference. The father’s body mass index(BMI)status was also positively associated with unhealthy behaviors. Those who exercised daily longer showed better eating behaviors, and picky eating and fast-food lovers likely occurred in higher-income families. Our study provides an insight into that fathers being educated for health-conscious advice and physical activity may be the potential strategies to foster their children’s healthy eating patterns. Their efficacy needs to be further investigated.

scholarly journals Prevalence and risk/protective indicators of peri-implant diseases: a university-representative cross-sectional study

2020 ◽  
Author(s):  
Mario Romandini ◽  
Cristina Lima ◽  
Ignacio Pedrinaci ◽  
Ana Araoz ◽  
Maria Costanza Soldini ◽  
...  
Keyword(s):  
Dental Implants ◽  
Tooth Loss ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Risk Indicators ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Factors Associated ◽  
Severe Periodontitis

Aim. To evaluate the prevalence of peri-implant diseases and to identify risk/protective indicators of peri-implantitis. Materials and Methods. 240 randomly selected patients from a university clinic database were invited to participate. Those who accepted, once data from their medical and dental history was collected, were examined clinically and radiographically to assess the prevalence of peri-implant health and diseases. A multilevel multivariate logistic regression analysis was carried out to identify those factors associated either positively (risk) or negatively (protective) with peri-implantitis defined as BoP/SoP and bone levels ≥2 mm. Results. 99 patients with a total of 458 dental implants were analyzed. The prevalence of pre-periimplantitis and of peri-implantitis were respectively 56.6% and 31.3% at patient-level, while 27.9% and 31.7% at implant-level. The following factors were identified as risk indicators for peri-implantitis: smoking (OR=3.59; 95%CI:1.52-8.45), moderate/severe periodontitis (OR=2.77; 95%CI:1.20-6.36), <16 remaining teeth (OR=2.23; 95%CI:1.05-4.73), plaque (OR=3.49; 95%CI:1.13-10.75), implant malposition (too vestibular: OR=2.85; 95%CI:1.17-6.93), implant brand (Nobel vs. Straumann: OR=4.41;95% CI:1.76-11.09), restoration type (bridge: OR=2.47; 95%CI:1.19-5.12), and trauma as reason of tooth loss (OR=6.51;95% CI:1.45-29.26). Conversely, the following factors were identified as protective indicators: interproximal flossing/brushing (OR=0.27; 95%CI:0.11-0.68), proton pump inhibitors (OR=0.08; 95%CI:0.01-0.90) and anticoagulants (OR=0.08; 95%CI:0.01-0.56). Conclusions. Peri-implant diseases are highly prevalent among patients with dental implants in this university-based population. Several factors were identified as risk- and protective-indicators of peri-implantitis.

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