Dental caries, frequency of refined sugar consumption and body mass index among freshmen undergraduate students in Nigeria

2017 ◽  
Vol 2 (1) ◽  
pp. 29-37
Author(s):  
TA Oyedele ◽  
AT Jegede ◽  
AM Adetayo ◽  
BO Sodipo

Objective: The main objective of this study was to determine association between dental caries and body mass index (BMI), and dental caries and frequency of sugar consumption freshmen undergraduate student in Nigeria. Methods: This was a cross-sectional study involving 1,164 students between 15 to 23 years of age. The independent variables for this study included age, sex, socioeconomic status, BMI, frequency of consuming refined sugars between meals and action taken after consumption of refined sugars. Descriptive analysis was used for all the quantitative variables while inferential analysis using logistic regression was used to determine predictors of dental caries. Results: A total of 1,164 students participated in the study, comprising 61.9% females and 38.1% males. The mean age of the participants was 18.13 (±4.99) and mean BMI was 21.68 (±7.93).  The prevalence of dental caries was 10.6% and the mean Decay Missing and Filled Teeth (DMFT) was 0.32 (±1.05). Age and socioeconomic status were the significant predictors of dental caries (p=0.02; p=0.04 respectively). However, there was increase odds of having dental caries in students with normal BMI ((AOR: 1.19; P=0.62), students that consumed refined sugar 3-4 between meals (AOR: 1.27; P=0.28) and students that did nothing after consumption of refined sugar (AOR: 1.43; P=0.51). Conclusion: The prevalence of dental caries in this study population was low, older students from middle socioeconomic status had significant caries prevalence and there were increase odds of dental caries in students with normal BMI, and in those that consumed refined sugars 3-4 times between meals.

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Vilelmine Carayanni ◽  
Elpis Vlachopadopoulou ◽  
Dimitra Koutsouki ◽  
Gregory C. Bogdanis ◽  
Theodora Psaltopoulou ◽  
...  

Abstract Background The aim of the present study was to examine the influence of body mass index category, as well as of demographic and socioeconomic factors on the participation in organized physical activity (OPA) of schoolchildren attending primary and secondary school in Greece. Furthermore, to compare the difference between the two levels. Methods This is a cross-sectional study conducted on a representative elementary and secondary school cohort, derived using stratification and probability proportional to size (PPS) methodology. The final sample included 18,264 subjects, aged 6 to 15 years. Parents of all students and students of secondary schools fulfilled validated questionnaires evaluating socioeconomic status, and participation to OPA. International Obesity Task Force (IOTF) cut offs were used to classify the children. Univariate and multivariate logistic models examined factors associated with OPA. All analyses were stratified by school level. Results Sport participation was not reported in 37.7 and 54.4% of primary and secondary schoolchildren respectively. Having BMI within normal range, being male, having parents participating in an organized activity and a high socio-economic status seem to encourage participation in OPA in both school levels. Conclusions Children with normal BMI are more likely to participate in OPA. Parents as role model as well as higher socioeconomic status of the family emerge as important influencers. Participation in OPA declines as students enter secondary school. Interventions focusing on increasing physical education and activity into school daily program should be tailored to the specific needs of different weight categories and can possibly eliminate the impact of SES inequalities.


2019 ◽  
Vol 35 (5) ◽  
Author(s):  
Resmiye Özdilek ◽  
Yılda Arzu Aba ◽  
Sena Dilek Aksoy ◽  
Bulat Aytek Şık ◽  
Yaşam Kemal Akpak

Objective: To investigate the adaptation of pregnant women to the recommended weight gain range according to body mass index (BMI) and to determine the factors affecting them. Methods: This cross-sectional study was performed in a university hospital’s obstetrics and gynecology unit (tertiary center) in Turkey. This study was conducted between March 2018 and August 2018 (6 months) in pregnant women. Pregnant women with chronic disease and receiving treatment during antenatal follow-up, with twin pregnancy, with a fetus with a congenital abnormality, and nutritional disturbance were excluded from the study. Eight hundred twelve pregnant women with normal antenatal follow-up and who volunteered to participate were included in the study. Results: The mean age of the participants was 27.66±5.05 years. The mean weight and BMI before pregnancy were near standard in all participants. The group with the highest rate of recommended weight gain according to BMI before pregnancy was the group with low weight pregnant women. The ideal weight gain rate in all groups was 32%. Conclusions: The groups with overweight and obese pregnant women according to BMI before pregnancy had the highest rates of weight gain, above the recommended limits. BMI before pregnancy directly affects weight gain during pregnancy and the importance of pre-pregnancy counseling and weight loss is emphasized once again. doi: https://doi.org/10.12669/pjms.35.5.133 How to cite this:Ozdilek R, Aba YA, Aksoy SD, Sik BA, Akpak YK. The relationship between body mass index before pregnancy and the amount of weight that should be gained during pregnancy: A cross-sectional study. Pak J Med Sci. 2019;35(5):---------.  doi: https://doi.org/10.12669/pjms.35.5.133 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


2020 ◽  
Vol 1 (1) ◽  
pp. 4-7
Author(s):  
Tarakant Bhagat ◽  
Ashish Shrestha ◽  
Santosh Kumari Agrawal

 Introduction: Dental caries and obesity share some common, modifiable influences such as diet and lifestyle including changes in physical activity and food characters. So, obesity can be considered as a predictor of dental caries and various studies have shown the positive association between these two factors. Objective: The study aims to analyze the relationship between dental caries and BMI in children of eastern region of Nepal. Methods: A cross-sectional study design was used comprising 600 school children in eastern region of Nepal. Anthropometric measures for the calculation of Body Mass Index (BMI), occurrence of dental caries, missing, and filled teeth due to caries in both the primary and permanent dentition (dft and DMFT respectively) were collected. Data were analyzed using Spearman’s correlation and independent t test to assess correlation between dental caries and BMI. Results: Dental caries prevalence was 57.3%. The difference in caries experience among gender was insignificant (p = 0.172). Caries experience decreased significantly with increase in years of schooling (p = 0.002) and with increase in age (p < 0.001). Caries experience increased with an increase in BMI but was not significant (p = 0.199). There was a positive correlation between BMI and DMFT /DMFS but was not statistically significant. The correlation between dft and dfs was statistically significant. Conclusions: The study indicated that some form of correlation existed between BMI and dental caries but the association was weak. Healthy with age children experience more caries than overweight and underweight children.


MedPharmRes ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 27-33
Author(s):  
Uyen Phuong Truong ◽  
Lan-Anh Thi Pham ◽  
Ngoc Van Anh Huynh ◽  
Thi Van Tran ◽  
Gia Kien To

Introduction: This study assessed the validation of Body Mass Index (BMI) against Subjective Global Assessment (SGA), and identify the prevalence of malnutrition and its associated factors in Chronic Obstructive Pulmonary Disease (COPD) inpatients at Nguyen Tri Phuong Hospital, Ho Chi Minh City, Vietnam. Methods: A cross-sectional study was conducted to consecutively select COPD inpatients based on medical records and consultancy with doctors. A structured questionnaire was designed to collect socio-demographic characteristics, health status and comorbidities, nutritional status, and handgrip strength. Nutritional status was assessed using SGA and BMI. Handgrip strength was measured using a hand dynamometer. Health status was collected from medical records. Results: The mean age of 83 COPD inpatients recruited in this study was 67 (SD=10.4) years. Most of the sample population was ≥60 years old (75%), male (86%), Kinh ethnic (89%), married (72%), not currently working (70%), and less than junior high school (81%). Nearly 68% had at least one comorbidity and 27% were active smokers. The mean handgrip strength was 21.6 kg (SD=8.7), and mean weight was 53.9 kg (SD=10.0). The mean BMI was 20.4 kg/m2 (SD=3.4) with 58% having BMI <21 kg/m2. SGA provided the prevalence of malnutrition of 65%. Age-group, BMI and handgrip strength were associated with malnutrition. A BMI cut-off point of <21 kg/m2 provided the highest ROC area of 84% (95%CI: 76%-92%). Conclusion: Malnutrition is common in COPD inpatients. This study confirms findings of previous studies that a BMI cut-off point of <21 kg/m2 was sensitive and specific for screening malnutritional risk at bedside.


2012 ◽  
Vol 24 (4) ◽  
pp. 331-337 ◽  
Author(s):  
Whye L. Cheah ◽  
Ching T. Chang ◽  
Rosalia Saimon

Abstract This study examined the relationship between perceived built environment attributes and physical activity, physical fitness and body weight among adolescents aged 14–16 years in Sarawak. This was a cross-sectional study, using multi-stage sampling. A set of questionnaires consisting of socio-demographic information, a self-administered physical activity checklist and a Neighborhood Environment Walkability Scale-Youth (NEWS-Y) was used. Body mass index (BMI) was measured and physical fitness was tested using a maximal multistage 20 m shuttle run test. Data analysis was done using SPSS version 17.0. A total of 316 respondents participated. The mean BMI for boys was almost equal to the mean BMI for girls. Only 7.9% of the sampled population was found to be overweight or obese. The overall mean duration spent per day on physical activity was 128.4 min (SD 118.43), with mean of 56.1 min (SD 73.94) after school time. Girls reported to spend longer each day taking physical activity before and during school. Boys were found to have significantly higher VO2max of 27.79±5.91 mL/kg/min as compared to girls (t=11.22, p<0.000). Based on comparison with other countries, the NEWS-Y scores indicated a mixture of low and high walkability neighborhoods. Respondents who had lower BMIs reported living in lower residential density areas and less risk of crime, and respondents who had better physical fitness reported less suitable infrastructure for walking. Promotion of exercise at all levels should be continuously encouraged as it would lead to improvement in the well-being of an individual.


2021 ◽  
Vol 8 (17) ◽  
pp. 1174-1180
Author(s):  
Srividya Kalavagunta ◽  
Sravani Kuppam ◽  
Uma M ◽  
Srinivas Gunda ◽  
Archana Bhat

BACKGROUND With the availability of more sophisticated methods, the utility of body mass index (BMI) as a measure of obesity and body fat estimation is being questioned. The current study aims to compare the estimation of body fat derived from BMI to that of directly measured bio impedance analysis (BIA). METHODS This is a cross sectional study conducted among IT employees of Bangalore City. Body fat % estimated from BMI using formula (adult BF = (1.20 x BMI) + (0.23 x age) - (10.8 x sex) - 5.4 where value for male = 1 & female = 0) and bioimpedance analysis (BIA) was compared using Bland-Altman analysis. RESULTS A total of 6901 participants were included and out of 6901 participants, 67.63 % were women. The mean age was 29.6 ± 6.68 years. The mean of the difference in body fat % calculated from BMI and estimated by BIA was 3.29, (- 9.99 to + 16.58 %). The mean difference was 3.43, (- 9.58 to + 16.45 %) and 2.89, (- 10.90 to + 16.68 %) among men and women respectively. CONCLUSIONS The results showed that the body fat estimated by BMI varies significantly from body fat estimated from BIA. KEYWORDS Obesity, Body Mass Index, Body Fat Percentage, Bioelectrical Impedance


Author(s):  
Mahwish Memon ◽  
Azizullah Muhammad Nawaz Qureshi ◽  
Aosaf Anwar Memon ◽  
Sheba Ramzan ◽  
Abdul Ghani Shaikh ◽  
...  

Background: Dental caries area public health problem. Its prevalence is about 60%  in the Pakistani population. Purpose: The purpose of this study was to correlate the association between decayed, missing, and filled teeth (DMFT) score and its body mass index in patients visiting the Dental Department of Liaquat University of Medical and Health Sciences, Jamshoro. Materials and Methods: This cross-sectional study was conducted from January 2021 to May 2021 at the Department of Operative Dentistry Liaquat University of Medical and Health Sciences. Patients with age 16 to 70 years with presence of atleast 15 to 18 permanent teeth were included in te study. Patients having primary teeth were set in exclusion criteria. For Dental caries status, decayed, missing, and filled teeth (DMFT) index was used. Height and weight were measured using digital scales. BMI was calculated according to the formula weight in kilograms/height in centimeters. Data were analyzed for descriptive statistics. One Way ANOVA test was used for association. The statistical significance level was evaluated at p<0.05 Results: We were able to obtain the data of a total of 203 patients of which 57% were female.The mean age was 36.7±13.8. ). The mean DMTF score was 5.7±3.7. In association of BMI with DMTF score, females BMI was statistically significant with DMTF score with p=0.039 and in overall was also significant p =0.002 Conclusion: DMFT score was higher in overweight and obese individuals and it was significant statistically. However, large community based studies are required to confirm the association.


2019 ◽  
Author(s):  
Yang Liu ◽  
Liyan Jiang ◽  
Mengru Zeng

Abstract Background Evidence regarding the association between demographics, socioeconomic status and metabolic syndrome is limited. We aim to investigate whether demographics and socioeconomic status are correlated with metabolic syndrome using data from National Health and Nutrition Examination Survey through 2013/2014 to 2015/2016.Methods A total of 4313 selected participants were included in this cross-sectional study. The independent variables were demographics (age, gender,and race/ethnicity) and socioeconomic status (the ratio of family income to poverty). The dependent variable was metabolic syndrome. The covariates included data release cycle, education level, marital status, dietary data, health insurance, average alcoholic drinks, current smoking, sedentary activity hours, physical activity minutes, and body mass index. Logistic regression analysis was used to evaluate the association between demographics, socioeconomic status and metabolic syndrome.Results In fully-adjusted models, we found that age was positively associated with metabolic syndrome (OR:1.05, 95%CI:1.04-1.05); compared with the male group, female was positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR:1.84, 95%CI:1.07-3.18) whereas it was negatively associated with metabolic syndrome in those with body mass index equal to or greater than 30 kg/m 2 (OR:0.62, 95%CI:0.48-0.81); compared with Mexican American, non-Hispanic Asian and other race/ethnicity were positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR: 7.30, 95%CI: 1.50-35.62 and OR: 6.09, 95%CI: 1.25-29.74, respectively) while non-Hispanic Black was negatively associated with metabolic syndrome in participants with body mass index equal to or greater than 25 kg/m 2 and less than 30 kg/m 2 (OR:0.58, 95%CI:0.36-0.92); there was no significant association between the ratio of family income to poverty and metabolic syndrome.Conclusions Among the population of nationally representative non-pregnant American adults, there is a correlation between demographics and metabolic syndrome whereas no correlation between socioeconomic status and metabolic syndrome after multivariates adjustment. Healthcare interventions targeting those with metabolic syndrome including older individuals, obese males, along with females, non-Hispanic Asian and other race/ethnicity with BMI under 25 kg/m 2 are required to address these disparities.


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