scholarly journals Gingival Health Related to Intake of Different Types of Foods and Body Mass Index in 12-year-old Schoolchildren

2020 ◽  
pp. 351-363
Author(s):  
Karol Ramírez DDS, MSc, PhD ◽  
Adrián Gómez-Fernández DDS,MAG ◽  
Mónica Rojas ◽  
Rebeca Rojas-Guzmán ◽  
Mariana Solano-Sanabria ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Costa Rica ◽  
Body Mass ◽  
Plaque Index ◽  
Gingival Index ◽  
Chi Square ◽  
Gingival Health ◽  
Different Types ◽  
Health Related ◽  
Subgingival Calculus

Research on gingival health of 12-year-old schoolchildren in Costa Rica is scarce. Since nutrition is an integral component of oral health, this study aimed to determine gingival status of 12-year-olds at Carmen Lyra Public School, San José, Costa Rica, and correlate these variables with the frequency of intake of different types of food and body mass index (BMI (kg/m2)). Sixty-two 12-year-old schoolchildren were recruited. A periodontist assessed Plaque Index (Silness and Löe,1964), presence of calculus, and Gingival Index (Löe and Silness, 1967). Gingivitis was defined as the presence of  bleeding on probing (BOP) on at least one site, and the extent was classified according to the percentage of teeth whose gingiva presented BOP limited: 25-49% of teeth tested; extensive >50% of teeth tested. A semi-quantified food consumption frequency questionnaire was administered. BMI was calculated for each participant. Overall Plaque Index was 1.18. Calculus was present on 40.40% of the sample, 19.4% had supragingival calculus and 21% had either supragingival/subgingival calculus or both. Presence of calculus was related with number of bleeding surfaces (p=0.030). Number of teeth with calculus was related to bleeding(p=0.029), and number of bleeding surfaces (p=0.009). Gingival Index was 0.97, mild gingivitis. Gingivitis was present on 96.8% of children examined. Limited gingivitis was present in 11.5% of children and extensive gingivitis in 88.5%. None of the variables measured differed by gender. No relationships were found between the consumption of starchy foods, animal and vegetable protein sources, fruit, vegetables, fast foods, sugar sweetened beverages and desserts with Plaque Index, calculus, Gingival Index, and BOP. Teeth calculus was related with being overweight (chi-square=0.038). BMI for males was 20.21 and females 20.11. BMI was not related to BOP or calculus. Within the limitations of this pilot study, we concluded the prevalence of gingivitis and calculus is high in the sample examined. A greater sample is needed to determine correlations between the frequency of foods evaluated and gingival health.

scholarly journals Differences in exercise capacity and health-related quality of life according to the body mass index in patients with COPD

Pulmonology ◽  
2021 ◽  
Author(s):  
Jhonatan Betancourt-Peña ◽  
Juan Carlos Ávila-Valencia ◽  
Diana Milena Diaz-Vidal ◽  
Vicente Benavides-Córdoba
Keyword(s):  
Quality Of Life ◽  
Body Mass Index ◽  
Exercise Capacity ◽  
Body Mass ◽  
The Body ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals The Association of Body Mass Index with Health-Related Quality of Life: An Exploratory Study in a Multiethnic Asian Population

2008 ◽  
Vol 11 ◽  
pp. S105-S114 ◽  
Author(s):  
Hwee-Lin Wee ◽  
Yin-Bun Cheung ◽  
Wai-Chiong Loke ◽  
Chee-Beng Tan ◽  
Mun-Hong Chow ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Body Mass Index ◽  
Body Mass ◽  
Exploratory Study ◽  
Asian Population ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Body Mass Index Standards Based on Agreement with Health-Related Body Fat

2011 ◽  
Vol 41 (4) ◽  
pp. S100-S105 ◽  
Author(s):  
Kelly R. Laurson ◽  
Joey C. Eisenmann ◽  
Gregory J. Welk
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Health Related

scholarly journals HUBUNGAN ANTARA KEJADIAN OSTEOARTRITIS DENGAN OBESITAS YANG DIUKUR DENGAN METODE PENGUKURAN BMI

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Agus Suseno
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Random Sampling ◽  
Chi Square ◽  
Cross Sectional

Hubungan Antara Kejadian Osteoartritis Dengan Obesitas Yang Diukur Dengan Metode Pengukuran BMI. Latar Belakang. Badan Kesehatan Dunia (WHO) telah menyatakan bahwa obesitas telah menjadi epidemi dunia. Saat ini prevalensi penderitanya tiap tahun semakin meningkat. Obesitas merupakan salah satu faktor resiko osteoartritis, ditandai dengan kerusakan pada tulang rawan sendi yang berakhir dengan kerusakan ke seluruh sendi. Hingga kini belum ada obat yang pasti untuk menanggulangi penyakit osteoartritis. Pengobatan yang dilakukan selama ini hanya untuk menghilangkan rasa nyerinya saja. Tujuan Penelitian. Untuk mengetahui adanya hubungan antara kejadian osteoartritis pada penderita obesitas dengan menggunakan metode BMI. Metodologi Penelitian. Analitik observasional dengan pendekatan secara cross sectional. Sampel diambil secara random sampling melalui rekam medik rawat jalan bagian Rheumatologi Rumah Sakit Swasta Kota Malang periode Januari – Desember 2006. Untuk menentukan adanya hubungan osteoartritis dengan obesitas dilakukan uji hipotesis Chi Square dengan nilai signifikasi (p) lebih kecil dari alpha 0.05. Hasil Penelitian. Dari 125 sampel penelitian didapatkan 70,4% wanita dan prevalensi osteoartritis dengan obesitas 58,4%. Hasil uji chi square didapatkan adanya hubungan antara kejadian osteoartritis dengan obesitas menggunakan metode pengukuran body mass index yang ditunjukkan dengan nilai signifikasi (p) 0.035. Kesimpulan. Didapatkan hubungan yang bermakna antara kejadian osteoarthritis dengan obesitas menggunakan metode pengukuran body mass index.

scholarly journals Body Mass Index in Human Walking on Different Types of Soil Using Graph Theory

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 47935-47942
Author(s):  
Washington Velasquez ◽  
Manuel S. Alvarez-Alvarado ◽  
Joaquin Salvachua
Keyword(s):  
Body Mass Index ◽  
Graph Theory ◽  
Body Mass ◽  
Human Walking ◽  
Different Types

The Relationship between Body Mass Index and Health-Related Quality of Life in Korean

2017 ◽  
Vol 7 (5) ◽  
pp. 794-798
Author(s):  
Yun-Ju Lee ◽  
Jung-Ah Lee ◽  
Sun-Hee Kim ◽  
Ji-Sun Lim ◽  
Hye-Soon Park
Keyword(s):  
Quality Of Life ◽  
Body Mass Index ◽  
Body Mass ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
The Relationship

scholarly journals Smoking Status, Body Mass Index, Health-Related Quality of Life, and Acceptance of Life With Illness in Stable Outpatients With COPD

2019 ◽  
Vol 10 ◽  
Author(s):  
Kinga Wytrychiewicz ◽  
Daniel Pankowski ◽  
Konrad Janowski ◽  
Kamilla Bargiel-Matusiewicz ◽  
Jacek Dąbrowski ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Body Mass Index ◽  
Body Mass ◽  
Smoking Status ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals The Effect of Physical Activity and High Body Mass Index on Health-Related Quality of Life in Individuals with Metabolic Syndrome

2020 ◽  
Vol 17 (10) ◽  
pp. 3728
Author(s):  
Alba Marcos-Delgado ◽  
Tania Fernández-Villa ◽  
Miguel Ángel Martínez-González ◽  
Jordi Salas-Salvadó ◽  
Dolores Corella ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Health Related Quality ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related

The main objective of this study was to examine the relationship between the level of physical activity (PA) and the degree of obesity with health-related quality of life (HRQoL) in individuals with metabolic syndrome (MetS) who participated in the Predimed-Plus study. A total of 6875 subjects between 55 and 75 years of age with MetS were selected and randomized in 23 Spanish centers. Subjects were classified according to categories of body mass index (BMI). PA was measured with the validated Registre Gironí del Cor (REGICOR) questionnaire and subjects were classified according to their PA level (light, moderate, vigorous) and the HRQoL was measured with the validated short-form 36 (SF-36) questionnaire. By using the ANOVA model, we found a positive and statistically significant association between the level of PA and the HRQoL (aggregated physical and mental dimensions p < 0.001), but a negative association with higher BMI in aggregated physical dimensions p < 0.001. Furthermore, women obtained lower scores compared with men, more five points in all fields of SF-36. Therefore, it is essential to promote PA and body weight control from primary care consultations to improve HRQoL, paying special attention to the differences that sex incurs.

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