Sağlık Bilimleri Fakültesi / Faculty of Health Sciences

Permanent URI for this collectionhttps://hdl.handle.net/11727/1402

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Author: search.filters.author.Kose, BerilSubject: search.filters.subject.obesity

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    The Relation Between Meal Frequency and Obesity in Adults
    (2018) Muftuoglu, Selen; Ozdemir, Merve; Saka, Mendane; Ok, Mehtap Akcil; Koseler, Esra; Bayram, Sinem; Yesil, Esen; Kose, Beril; Turker, Perim; Ercan, Aydan; Aksoydan, Emine; Tayfur, Muhittin; Kiziltan, Gul; 0000-0003-1569-7747; AAF-4491-2021; AAX-4714-2021; AAG-6763-2020; AAZ-8170-2020
    Objective: To determine the relation between meal frequency and obesity in adults. Methods: A cross-sectional study was done among 1829 volunteer (520 men, 1309 women) selected through a multi-stage stratified random sampling method during 2015/2016. A standardized, confidential data collection sheet was used. It included socio-demographic factors, dietary behaviors, anthropometric measurements and energy-macro and micronutrient intakes. Results: The median meal frequency of women and men were 4 and 3, respectively. Approximately 57% of men and 61% of women have skipped meals and 76.8% of them were skipped their lunch. In addition, the individuals whose BMI were under and over 25 kg/m(2) (72.4%, 78.3%, respectively) often skipped lunch. The meal frequency positively correlated with waist to hip ratio in women (p<0.05). Additionally, there were positively significant correlations between meal frequency and saturated fatty acids, fiber, vitamin A, vitamin C, calcium and iron intake (p<0.05). Conclusion: This study indicated that increased meal frequency may have a beneficial effect on micronutrients intakes and some anthropometric measurements among adults.
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    Is Body Adiposity Index a Better and Easily Applicable Measure for Determination of Body Fat?
    (2020) Yesil, Esen; Kose, Beril; Ozdemir, Merve; 32155104
    Objective: The BAI can be used to reflect %body fat. This study aimed to compare BAI with other methods used in the determination of body fat. Materials and Methods: A cross-sectional study was conducted in Turkish adults. BAI, BMI, WHR, WHtR, body weight, hip and waist circumference (WC), skinfold thicknesses (biceps, triceps, subscapular, suprailiac) were measured. Body fat was measured using Bioelectric Impedance Analysis. Results: The Bland-Altman analyses conducted in this study showed that for % body fat estimations, BIA was in excellent agreement with skinfold measurements (p = 0.131) without proportional bias (p = 0.082), but that BAI was not in agreement with BIA and skinfold measurement. There were a statistically significant positive correlation between BAI and other measurements in terms of females and males and also regardless of sex. Conclusion: BAI was not in agreement with BIA and skinfold measurement methods for % body fat estimations, it had a significantly stronger correlation with % fat calculated using BIA and skinfold thickness.
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    Effects of reproductive and sociodemographic factors on obesity in Turkish women: a pilot study
    (2019) Bayram, Sinem; Koseler, Esra; Kiziltan, Gul; Ok, Mebtap Akcil; Yesil, Esen; Kose, Beril; Ozdemir, Merve; Muftuoglu, Selen; Saka, Mendane; Aksoydan, Emine; Tayfur, Muhittin; Turker, Perim Fatma; Ercan, Aydan; 0000-0003-1569-7747; 0000-0002-4254-3711; AAF-4491-2021; AAG-6763-2020
    Background and aim: Obesity has become a global epidemic. The current research aimed to determine sociodemographic and reproductive predictors of obesity among Turkish women. Materials and methods: Eligible subjects (n:833) were 40-64 years-old women living in Turkey. A questionnaire consisted of questions about sociodemographic and reproductive factors and the International Physical Activity Questionnaire were applied to participants by face to face interviews. Multivariate logistic regression examined the risk of being obese with a range of sociodemographic and reproductive factors. All analyses were performed with SPSS software (version 17.0; SPSS, Chicago, Ill., USA). Results: The mean BMI of women aged 51-64 years was 30.59 +/- 6.35 kg/m(2). After adjustments for all other variables, increased obesity risk remained significant in women who had two children, housewifes, minimum active ones, ex smokers and had less than high school education. For multiple regression analysis sociodemographic factors from the bivariate analyses were entered, controlling for menarch age, menopausal age, hormone RT, parity, number of stillbirth, abortion. There was significant association between family income, occupation, education and BMI. Conclusion. In summary these findings showed comparable patterns of association of sociodemographic and reproductive factors with obesity in Turkey. Specific healthy lifestyle counseling is important for decreasing obesity in childbearing age women.