Evaluation of Anthropometric Measurements With Sociodemographic Characteristics and Nutritional Status of Female Health Professionals
Yıl 2020,
Sayı: 4, 596 - 601, 01.12.2020
Nural Erzurum Alim
Gözde Arıtıcı Çolak
,
Rahime Evra Karakaya
Selin Dündar
Öz
This study was planned to evaluate the anthropometric measurements with sociodemographic characteristics and nutritional status of 134 women health professionals aged 20-50 years. Food frequency questionnaire form was applied by a trained dietitian for assessment of dietary intake. Anthropometric measurements such as body weight, height, waist circumference and hip circumference were taken. Physical activity status was determined by a one-day physical activity registration form. According to the BMI classification, 39.6% of women were overweight and 14.2% of them were obese. Daily carbohydrate intake was higher in normal weight 48.3% than obese individuals 41.4% p
Kaynakça
- WHO (World Health Organization). Health Systems Strengthening Glossary; 2011. Available from: http://www.who.int/healthsystems/ hss_glossary/en/index5.html
- Baysal A. Beslenme, 14. Baskı. Ankara: Hatiboğlu Yayınevi; 2012.
- Kriaucioniene V, Klumbiene J, Petkeviciene J, Sakyte E. Time trends in social differences in nutrition habits of a Lithuanian population: 1994–2010. BMC Public Health 2012;12;218. [CrossRef]
- Dedeoğlu AÖ, Savaşçı İ. Tüketim kültüründe beden güzelliği ve yemek yeme arzuları: kadınların tüketim pratiklerine yansıması. Ege Acad Rev 2005;5:77–87. Erişim: http://www.acarindex.com/ dosyalar/makale/acarindex-1423877147.pdf
- Kılıç E, Şanlıer N. Üç kuşak kadınının beslenme alışkanlıklarının karşılaştırılması. Kastamonu Educ J 2007;15:31–44. Erişim: http:// www.kefdergi.com/pdf/15_1/31.pdf
- Sen S, Verma R. Assessment of Nutritional Status of Urban Women of Maharashtra, India. IOSR J Nurs Health Sci 2016;5:1–7. [CrossRef]
- Yurtseven E, Eren F, Vehid S, Köksal S, Erginöz E, Erdoğan MS. Beyaz Yakalı Çalışanların Beslenme Alışkanlıklarının Değerlendirilmesi. Kocatepe Med J 2014;15:20–6. Erişim: https://dergipark.org.tr/ download/article-file/161243
- Ebispro for Windows, Stuttgart, Germany; Turkish version BeBiS, version 8. Data bases: Bundeslebenmittelschlüssel, 3.01B and other sources, 2017.
- WHO Body Mass Index Classification; 2006. Available from: http:// apps.who.int/bmi/index.jsp?introPage=intro_3.html
- WHO Waist circumference and waist-hip ratio: Report of a WHO expert consultation, Geneva; 2008. Available from: http://apps.who. int/iris/bitstream/10665/44583/1/9789241501491_eng.pdf
- Ashwell M, Gibson S. A proposal for a primary screening tool: Keep your waist circumference to less than half your height. BMC Med 2014;12:207. [CrossRef]
- Fernald LC. Socio-economic status and body mass index in low- income Mexican adults. Soc Sci Med 2007;64:2030–42. [CrossRef]
- Jia WP, Wang C, Jiang S, Pan JM. Characteristics of obesity and its related disorders in China. Biomed Environ Sci 2010;23:4–11. [CrossRef]
- Guyenet SJ, Schwartz MW. Regulation of food intake, energy balance, and body fat mass: implications for the pathogenesis and treatment of obesity. J Clin Endocrinol Metab 2012;97:745–55. [CrossRef]
- Mansoor N, Vinknes KJ, Veierİd MB, Retterstİl K. Effects of low- carbohydrate diets v. low-fat diets on body weight and cardiovascular risk factors: a meta-analysis of randomised controlled trials. Br J Nutr 2016;115:466–79. [CrossRef]
- de Souza RJ, Bray GA, Carey VJ, Hall KD, LeBoff MS, Loria CM, et al. Effects of 4 weight-loss diets differing in fat, protein, and carbohydrate on fat mass, lean mass, visceral adipose tissue, and hepatic fat: results from the POUNDS LOST trial. Am J Clin Nutr 2012;95:614–25. [CrossRef]
- Cornier MA, Donahoo WT, Pereira R, Gurevich I, Westergren R, Enerback S, et al. Insulin sensitivity determines the effectiveness of dietary macronutrient composition on weight loss in obese women. Obes Res 2005;13:703–9. [CrossRef]
- Capel F, Viguerie N, Vega N, Dejean S, Arner P, Klimcakova E, et al. Contribution of energy restriction and macronutrient composition to changes in adipose tissue gene expression during dietary weight-loss programs in obese women. J Clin Endocrinol Metab 2008;93:4315–22. [CrossRef]
- Hu T, Mills KT, Yao L, Demanelis K, Eloustaz M, Yancy Jr WS, et al. Effects of low-carbohydrate diets versus low-fat diets on metabolic risk factors: a meta-analysis of randomized controlled clinical trials. Am J Epidemiol 2012;176:S44–54. [CrossRef]
- Phillips CM, Kesse-Guyot E, McManus R, Hercberg S, Lairon D, Planells R, Roche HM. High Dietary Saturated Fat Intake Accentuates Obesity Risk Associated with the Fat Mass and Obesity-Associated Gene in Adults-3. J Nutr 2012;142:824–31. [CrossRef]
- Field AE, Willett WC, Lissner L, Colditz GA. Dietary fat and weight gain among women in the Nurses’ Health Study. Obesity 2007;15:967–76. [CrossRef]
- Enos RT, Davis JM, Velázquez KT, McClellan JL, Day SD, Carnevale KA, Murphy EA. Influence of dietary saturated fat content on adiposity, macrophage behavior, inflammation, and metabolism: composition matters. J Lipid Res 2013;54:152–63. [CrossRef]
- Micallef M, Munro I, Phang M, Garg M. Plasma n-3 polyunsaturated fatty acids are negatively associated with obesity. Br J Nutr 2009;102:1370–4. [CrossRef]
- Buckley JD, Howe PRC. Anti‐obesity effects of long‐chain omega‐3 polyunsaturated fatty acids. Obes Rev 2009;10:648–59. [CrossRef]
- Gillingham LG, Harris‐Janz S, Jones PJ. Dietary monounsaturated fatty acids are protective against metabolic syndrome and cardiovascular disease risk factors. Lipids 2011;46:209–28. [CrossRef]
- Hunter JE, Zhang J, Kris-Etherton PM. Cardiovascular disease risk of dietary stearic acid compared with trans, other saturated, and unsaturated fatty acids: a systematic review. Am J Clin Nutr 2010;91:46–63. [CrossRef]
- Vessby B, Uusitupa M, Hermansen K, Riccardi G, Rivellese AA, Tapsell LC, et al. Substituting dietary saturated for monounsaturated fat impairs insulin sensitivity in healthy men and women: The KANWU Study. Diabetologia 2001;44:312–9. [CrossRef]
KADIN SAĞLIK ÇALIŞANLARININ SOSYODEMOGRAFIK ÖZELLİKLERI VE BESLENME DURUMLARI ILE ANTROPOMETRIK ÖLÇÜMLERIN DEĞERLENDIRILMESI
Yıl 2020,
Sayı: 4, 596 - 601, 01.12.2020
Nural Erzurum Alim
Gözde Arıtıcı Çolak
,
Rahime Evra Karakaya
Selin Dündar
Öz
Bu çalışma, 20-50 yaşları arasındaki 134 kadın sağlık çalışanının sosyodemografik özellikleri ve beslenme durumu ile antropometrik ölçümlerinin değerlendirilmesi amacıyla planlanmıştır. Besin tüketim sıklığı anket formu, bireylerin besin alımını değerlendirmek amacıyla eğitimli bir diyetisyen tarafından uygulanmıştır. Vücut ağırlığı, boy uzunluğu, bel çevresi ve kalça çevresi gibi antropometrik ölçümler alınmıştır. Fiziksel aktivite durumu bir günlük fiziksel aktivite kayıt formu ile saptanmıştır. BKİ sınıflamasına göre kadınların %39.6’sı kilolu ve %14.2’si obez olarak saptanmıştır. Diyetle karbonhidrat alımı normal kilolu bireylerde %48.3 obez bireylere %41.4 göre daha yüksek bulunmuştur. Kadın sağlık çalışanları arasında obezite prevalansı yüksektir. Düşük karbonhidrat/yüksek yağ gibi diyetle dengesiz makrobesin alımı obeziteye yol açabilir
Kaynakça
- WHO (World Health Organization). Health Systems Strengthening Glossary; 2011. Available from: http://www.who.int/healthsystems/ hss_glossary/en/index5.html
- Baysal A. Beslenme, 14. Baskı. Ankara: Hatiboğlu Yayınevi; 2012.
- Kriaucioniene V, Klumbiene J, Petkeviciene J, Sakyte E. Time trends in social differences in nutrition habits of a Lithuanian population: 1994–2010. BMC Public Health 2012;12;218. [CrossRef]
- Dedeoğlu AÖ, Savaşçı İ. Tüketim kültüründe beden güzelliği ve yemek yeme arzuları: kadınların tüketim pratiklerine yansıması. Ege Acad Rev 2005;5:77–87. Erişim: http://www.acarindex.com/ dosyalar/makale/acarindex-1423877147.pdf
- Kılıç E, Şanlıer N. Üç kuşak kadınının beslenme alışkanlıklarının karşılaştırılması. Kastamonu Educ J 2007;15:31–44. Erişim: http:// www.kefdergi.com/pdf/15_1/31.pdf
- Sen S, Verma R. Assessment of Nutritional Status of Urban Women of Maharashtra, India. IOSR J Nurs Health Sci 2016;5:1–7. [CrossRef]
- Yurtseven E, Eren F, Vehid S, Köksal S, Erginöz E, Erdoğan MS. Beyaz Yakalı Çalışanların Beslenme Alışkanlıklarının Değerlendirilmesi. Kocatepe Med J 2014;15:20–6. Erişim: https://dergipark.org.tr/ download/article-file/161243
- Ebispro for Windows, Stuttgart, Germany; Turkish version BeBiS, version 8. Data bases: Bundeslebenmittelschlüssel, 3.01B and other sources, 2017.
- WHO Body Mass Index Classification; 2006. Available from: http:// apps.who.int/bmi/index.jsp?introPage=intro_3.html
- WHO Waist circumference and waist-hip ratio: Report of a WHO expert consultation, Geneva; 2008. Available from: http://apps.who. int/iris/bitstream/10665/44583/1/9789241501491_eng.pdf
- Ashwell M, Gibson S. A proposal for a primary screening tool: Keep your waist circumference to less than half your height. BMC Med 2014;12:207. [CrossRef]
- Fernald LC. Socio-economic status and body mass index in low- income Mexican adults. Soc Sci Med 2007;64:2030–42. [CrossRef]
- Jia WP, Wang C, Jiang S, Pan JM. Characteristics of obesity and its related disorders in China. Biomed Environ Sci 2010;23:4–11. [CrossRef]
- Guyenet SJ, Schwartz MW. Regulation of food intake, energy balance, and body fat mass: implications for the pathogenesis and treatment of obesity. J Clin Endocrinol Metab 2012;97:745–55. [CrossRef]
- Mansoor N, Vinknes KJ, Veierİd MB, Retterstİl K. Effects of low- carbohydrate diets v. low-fat diets on body weight and cardiovascular risk factors: a meta-analysis of randomised controlled trials. Br J Nutr 2016;115:466–79. [CrossRef]
- de Souza RJ, Bray GA, Carey VJ, Hall KD, LeBoff MS, Loria CM, et al. Effects of 4 weight-loss diets differing in fat, protein, and carbohydrate on fat mass, lean mass, visceral adipose tissue, and hepatic fat: results from the POUNDS LOST trial. Am J Clin Nutr 2012;95:614–25. [CrossRef]
- Cornier MA, Donahoo WT, Pereira R, Gurevich I, Westergren R, Enerback S, et al. Insulin sensitivity determines the effectiveness of dietary macronutrient composition on weight loss in obese women. Obes Res 2005;13:703–9. [CrossRef]
- Capel F, Viguerie N, Vega N, Dejean S, Arner P, Klimcakova E, et al. Contribution of energy restriction and macronutrient composition to changes in adipose tissue gene expression during dietary weight-loss programs in obese women. J Clin Endocrinol Metab 2008;93:4315–22. [CrossRef]
- Hu T, Mills KT, Yao L, Demanelis K, Eloustaz M, Yancy Jr WS, et al. Effects of low-carbohydrate diets versus low-fat diets on metabolic risk factors: a meta-analysis of randomized controlled clinical trials. Am J Epidemiol 2012;176:S44–54. [CrossRef]
- Phillips CM, Kesse-Guyot E, McManus R, Hercberg S, Lairon D, Planells R, Roche HM. High Dietary Saturated Fat Intake Accentuates Obesity Risk Associated with the Fat Mass and Obesity-Associated Gene in Adults-3. J Nutr 2012;142:824–31. [CrossRef]
- Field AE, Willett WC, Lissner L, Colditz GA. Dietary fat and weight gain among women in the Nurses’ Health Study. Obesity 2007;15:967–76. [CrossRef]
- Enos RT, Davis JM, Velázquez KT, McClellan JL, Day SD, Carnevale KA, Murphy EA. Influence of dietary saturated fat content on adiposity, macrophage behavior, inflammation, and metabolism: composition matters. J Lipid Res 2013;54:152–63. [CrossRef]
- Micallef M, Munro I, Phang M, Garg M. Plasma n-3 polyunsaturated fatty acids are negatively associated with obesity. Br J Nutr 2009;102:1370–4. [CrossRef]
- Buckley JD, Howe PRC. Anti‐obesity effects of long‐chain omega‐3 polyunsaturated fatty acids. Obes Rev 2009;10:648–59. [CrossRef]
- Gillingham LG, Harris‐Janz S, Jones PJ. Dietary monounsaturated fatty acids are protective against metabolic syndrome and cardiovascular disease risk factors. Lipids 2011;46:209–28. [CrossRef]
- Hunter JE, Zhang J, Kris-Etherton PM. Cardiovascular disease risk of dietary stearic acid compared with trans, other saturated, and unsaturated fatty acids: a systematic review. Am J Clin Nutr 2010;91:46–63. [CrossRef]
- Vessby B, Uusitupa M, Hermansen K, Riccardi G, Rivellese AA, Tapsell LC, et al. Substituting dietary saturated for monounsaturated fat impairs insulin sensitivity in healthy men and women: The KANWU Study. Diabetologia 2001;44:312–9. [CrossRef]