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GENÇ VE ORTA YAŞ YETİŞKİNLERDE ANTROPOMETRİK PARAMETRELER VE DİYET ALIMININ KARŞILAŞTIRILMASI

Year 2025, Volume: 6 Issue: 2, 43 - 48, 31.08.2025
https://doi.org/10.52831/kjhs.1603412

Abstract

Amaç: Bu çalışmada, Türkiye’de yaşayan genç ve orta yaş yetişkinlerin günlük ortalama enerji ve besin ögeleri alımlarının, besin gruplarından tükettikleri miktarların ve antropometrik ölçümlerinin kıyaslanması amaçlandı. Diğer bir amaç bel çevresi artışı üzerinde etkili olan etmenlerin incelenmesiydi.
Yöntem: Çalışma 20-34 yaş arası genç yetişkinler ve 35-64 yaş arası orta yaşlı yetişkinleri içeren 1052 yetişkin üzerinde gerçekleştirildi. Veri toplamada yetişkinler hakkında genel bilgileri ve bir günlük besin tüketimini ele alan bir anket kullanıldı. Vücut ağırlığı, boy uzunluğu, bel çevresi ve kalça çevresi dahil olmak üzere antropometrik ölçümler, eğitimli araştırmacılar tarafından standart teknikler kullanılarak bir gecelik açlığın ardından sabah saatlerinde gerçekleştirildi. Bu ölçümler Beden Kütle İndeksi, Vücut Yağlanma İndeksi, Bel-Kalça Oranı ve Bel-Boy Oranını hesaplamak için kullanıldı. Tüm veriler Ekim 2023 ve Nisan 2024 tarihleri arasında yüz yüze görüşmeler sırasında toplandı.
Bulgular: Genç yetişkinlerin yaş ortalaması 28.27±2.85 yıl iken orta yaş yetişkinlerin yaş ortalaması 44.56±6.75 yıldı. Bulgular genç yetişkinlerin %3.2’sinin ve orta yaş yetişkinlerin %17.4’ünün obez olduğunu gösterdi (p<0.05). Ayrıca vücut adipozite indeksi ve metabolik risk (bel çevresine, bel-kalça ve bel boy oranına göre) orta yaş yetişkinlerde anlamlı bir şekilde daha yüksekti. Günlük alınan enerjinin doymuş yağlardan gelen yüzdesi ve ekmek dışındaki tahıl tüketimi genç yetişkinlerde; günlük posa, sebze, meyve ve yağlı tohum tüketimi de orta yaş yetişkinlerde daha yüksekti (p<0.05). Bunun yanı sıra yetişkinlerin bel çevresindeki artış üzerinde günlük enerji, şeker ve şekerli ürünler, kırmızı et, meyve tüketiminin ve yaşın önemli etkisi vardı (p<0.05).
Sonuç: Bu çalışma yetişkinlerin yaşa bağlı olarak beslenme durumlarında ve antropometrik ölçümlerinde anlamlı farklılıklar olduğunu göstermektedir. Genç ve orta yaşlı yetişkinlerde daha yüksek bel çevresini öngören diyetsel faktörler, bireysel davranış değişikliği için değiştirilebilir hedefler arasındadır. Bu çalışma, Türkiye’deki yetişkinlerde sağlıklı beslenmeye ve santral obezitenin önlenmesine yönelik stratejilerin geliştirilmesinin önemini vurgulamaktadır.

References

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  • Wirt A, Collins CE. Diet quality-what is it and does it matter? Public Health Nutr. 2009;12(12):2473-2492.
  • Medina-Remón A, Kirwan R, Lamuela-Raventós RM, Estruch R. Dietary patterns and the risk of obesity, type 2 diabetes mellitus, cardiovascular diseases, asthma, and neurodegenerative diseases. Crit Rev Food Sci Nutr. 2018;58(2):262-296.
  • Rakhra V, Galappaththy S, Bulchandani S, Cabandugama P. Obesity and the western diet: how we got here. Mo Med. 2020;117(6):536-538.
  • Monteiro CA, Cannon G, Moubarac J-C, Levy RB, Louzada MLC, Jaime PC. The UN decade of nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr. 2018;21(1):5-17.
  • Lin X, Li H. Obesity: Epidemiology, Pathophysiology, and Therapeutics. Front Endocrinol (Lausanne). 2021;12:706978.
  • Imamura F, Micha R, Khatibzadeh S, et al. Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment. Lancet Glob Heal. 2015;3(3):e132-142.
  • Monteiro CA, Moubarac J ‐C, Cannon G, Ng SW, Popkin B. Ultra‐processed products are becoming dominant in the global food system. Obes Rev. 2013;14(2):21-28.
  • Casadei K, Kiel J. Anthropometric measurement. Treasure Island: StatPearls Publishing; 2023.
  • Nuttall FQ. Body mass index. Nutr Today. 2015;50(3):117- 128.
  • Watson KB, Wiltz JL, Nhim K, Kaufmann RB, Thomas CW, Greenlund KJ. Trends in multiple chronic conditions among US adults, by life stage, behavioral risk factor surveillance system, 2013-2023. Preventing Chronic Disease. 2025;22:240539.
  • WHO. Waist circumference and waist-hip ratio: Report of a WHO Expert Consultation. Geneva; 2008. Available at: https://www.who.int/publications/i/item/9789241501491
  • Ashwell M. Obesity risk: importance of the waist-to-height ratio. Nurs Stand. 2009;23(41):49-54.
  • Cerqueira MS, Santos CA dos, Silva DAS, Amorim PR dos S, Marins JCB, Franceschini S do CC. Validity of the body adiposity index in predicting body fat in adults: A systematic review. Adv Nutr. 2018;9(5):617-624.
  • Rakıcıoğlu N, Tek Acar N, Ayaz A, Pekcan G. Photographic atlas of food and meal portion sizes: Portion sizes and amounts. Ankara: Ata Ofset; 2017.
  • Lorcu F. Data analysis with examples: SPSS applications. Ankara: Detay Publishing; 2015.
  • Bhattacharya A, Pal B, Mukherjee S, Roy SK. Assessment of nutritional status using anthropometric variables by multivariate analysis. BMC Public Health. 2019;19(1):1045.
  • Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014;311(8):806.
  • Reas DL, Nygård JF, Svensson E, Sørensen T, Sandanger I. Changes in body mass index by age, gender, and socio-economic status among a cohort of Norwegian men and women (1990-2001). BMC Public Health. 2007;7(1):269.
  • Gilliat-Wimberly M, Manore Mm, Woolf K, Swan Pd, Carroll SS. Effects of habitual physical activity on the resting metabolic rates and body compositions of women aged 35 to 50 years. J Am Diet Assoc. 2001;101(10):1181-1188.
  • Stevens J, Katz EG, Huxley RR. Associations between gender, age and waist circumference. Eur J Clin Nutr. 2010;64(1):6-15.
  • Bosello O, Vanzo A. Obesity paradox and aging. Eat Weight Disord-Stud Anorexia, Bulim Obes. 2021;26(1):27-35.
  • van der Velde LA, Nguyen AN, Schoufour JD, et al. Diet quality in childhood: the Generation R Study. Eur J Nutr. 2019;58(3):1259-1269.
  • Freeman B, Kelly B, Vandevijvere S, Baur L. Young adults: beloved by food and drink marketers and forgotten by public health? Health Promot Int. 2016;31(4):954-961.
  • Nagata JM, Palar K, Gooding HC, Garber AK, Bibbins-Domingo K, Weiser SD. Food insecurity and chronic disease in us young adults: findings from the national longitudinal study of adolescent to adult health. J Gen Intern Med. 2019;34(12):2756-2762.
  • Sadik M. Determination of the relationship between bread consumption and body mass index in adult individuals [Master’s thesis]. Istanbul (Turkey): Istanbul Medipol University, Institute of Health Sciences, Department of Nutrition and Dietetics; 2019.
  • Romaguera D, Ängquist L, Du H, et al. Food composition of the diet in relation to changes in waist circumference adjusted for body mass index. PLoS One. 2011;6(8):e23384.
  • Halkjær J, Tjønneland A, Overvad K, Sørensen TIA. Dietary predictors of 5-year changes in waist circumference. J Am Diet Assoc. 2009;109(8):1356-1366.
  • Bautista Castaño I, Serra Majem L. Relationship between bread consumption, body weight, and abdominal fat distribution: evidence from epidemiological studies. Nutr Rev. 2012;70(4):218-233.
  • Konieczna J, Romaguera D, Pereira V, et al. Longitudinal association of changes in diet with changes in body weight and waist circumference in subjects at high cardiovascular risk: the PREDIMED trial. Int J Behav Nutr Phys Act. 2019;16(1):139.
  • Kim MN, Lo C-H, Corey KE, et al. Red meat consumption, obesity, and the risk of nonalcoholic fatty liver disease among women: Evidence from mediation analysis. Clin Nutr. 2022;41(2):356-364.
  • Wang Z, Zhang B, Zhai F, et al. Fatty and lean red meat consumption in China: Differential association with Chinese abdominal obesity. Nutr Metab Cardiovasc Dis. 2014;24(8):869-876.
  • Republic of Türkiye Ministry of Health. Turkey Nutrition Guide (TÜBER). 2022. Available from: https://hsgm.saglik.gov.tr/depo/birimler/saglikli-beslenme-ve-hareketli-hayat-db/Dokumanlar/Rehberler/Turkiye_Beslenme_Rehber_TUBER_2022_min.pdf
  • Dreher M. Whole fruits and fruit fiber emerging health effects. Nutrients. 2018;10(12):1833.
  • Nooyens AC, Visscher TL, Schuit AJ, et al. Effects of retirement on lifestyle in relation to changes in weight and waist circumference in Dutch men: a prospective study. Public Health Nutr. 2005;8(8):1266-1274.
  • Drapeau V, Després J-P, Bouchard C, et al. Modifications in food-group consumption are related to long-term body-weight changes. Am J Clin Nutr. 2004;80(1):29-37.
  • Vargas PM, Schneider BC, Costa CS, et al. Age is the most important factor for change in body mass index and waist circumference in older people in southern Brazil. Nutrition. 2023;109:111956.
  • Onat A, Can G, Yüksel H, Ademoğlu E. TARF 2017: Leading the medical community’s approach to chronic diseases. Istanbul (Turkey): Logos Publishing; 2017.
  • Hose Y, Ishihara J, Kotemori A, et al. Applicability of a web-based 24-hour dietary recall tool for Japanese populations in large-scale epidemiological studies. JEA. 2023;33(8):419-427.

COMPARISON OF ANTHROPOMETRIC PARAMETERS AND DIETARY INTAKE IN YOUNG AND MIDDLE-AGED ADULTS

Year 2025, Volume: 6 Issue: 2, 43 - 48, 31.08.2025
https://doi.org/10.52831/kjhs.1603412

Abstract

Objective: This study aims to compare the daily average energy and nutrient intakes, quantities consumed from food groups, and anthropometric measurements of young and middle-aged adults living in Türkiye. Another objective was to examine factors influencing the increase in waist circumference.
Method: This study was carried out on 1052 adults, including young adults aged 20-34 years and middle-aged adults aged 35-64 years. A questionnaire addressing general information about adults and a one-day dietary intake was used in data collection. Anthropometric measurements, including body weight, height, waist circumference, and hip circumference, were performed in the morning hours after an overnight fast by trained researchers using standardized techniques. These measurements were used to calculate the Body Mass Index, Body Adiposity Index, Waist-to-Hip Ratio, and Waist-to-Height Ratio. All data were collected between October 2023 and April 2024 during in-person interviews.
Results: The mean age of young adults was 28.27±2.85 years, while the mean age of middle-aged adults was 44.56±6.75 years. The results achieved in this study revealed that 3.2% of young adults and 17.4% of middle-aged adults were obese (p<0.05). Moreover, body adiposity index and metabolic risk (based on waist circumference, waist-hip ratio, and waist-height ratio) were significantly higher in middle-aged adults. The percentage of daily energy intake from saturated fats and the consumption of grains other than bread were higher in young adults, whereas daily intake of fiber, vegetables, fruits, and oily seeds was higher in middle-aged adults (p<0.05). Furthermore, daily energy intake, sugar and sugary products consumption, red meat consumption, fruit consumption, and age significantly influenced the increase in waist circumference among adults (p<0.05).
Conclusion: This study indicates that there are significant differences in the nutritional status and anthropometric measurements of adults by age. Dietary factors predicting higher waist circumference in young and middle-aged adults are among modifiable targets for individual behavior modification. This study emphasizes the importance of developing strategies for healthy eating and prevention of central obesity among adults.

Ethical Statement

Ethical approval for this study was obtained from the Health Sciences Ethics Committee of Çankırı Karatekin University (Date: 16.10.2023, Meeting Number: 9).

References

  • Khodaee G, Moghadam Z, Khademi G, Saeidi M. Healthy diet in children: facts and keys. Int J Pediatr. 2015;3(6):1183-1194.
  • Wirt A, Collins CE. Diet quality-what is it and does it matter? Public Health Nutr. 2009;12(12):2473-2492.
  • Medina-Remón A, Kirwan R, Lamuela-Raventós RM, Estruch R. Dietary patterns and the risk of obesity, type 2 diabetes mellitus, cardiovascular diseases, asthma, and neurodegenerative diseases. Crit Rev Food Sci Nutr. 2018;58(2):262-296.
  • Rakhra V, Galappaththy S, Bulchandani S, Cabandugama P. Obesity and the western diet: how we got here. Mo Med. 2020;117(6):536-538.
  • Monteiro CA, Cannon G, Moubarac J-C, Levy RB, Louzada MLC, Jaime PC. The UN decade of nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr. 2018;21(1):5-17.
  • Lin X, Li H. Obesity: Epidemiology, Pathophysiology, and Therapeutics. Front Endocrinol (Lausanne). 2021;12:706978.
  • Imamura F, Micha R, Khatibzadeh S, et al. Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment. Lancet Glob Heal. 2015;3(3):e132-142.
  • Monteiro CA, Moubarac J ‐C, Cannon G, Ng SW, Popkin B. Ultra‐processed products are becoming dominant in the global food system. Obes Rev. 2013;14(2):21-28.
  • Casadei K, Kiel J. Anthropometric measurement. Treasure Island: StatPearls Publishing; 2023.
  • Nuttall FQ. Body mass index. Nutr Today. 2015;50(3):117- 128.
  • Watson KB, Wiltz JL, Nhim K, Kaufmann RB, Thomas CW, Greenlund KJ. Trends in multiple chronic conditions among US adults, by life stage, behavioral risk factor surveillance system, 2013-2023. Preventing Chronic Disease. 2025;22:240539.
  • WHO. Waist circumference and waist-hip ratio: Report of a WHO Expert Consultation. Geneva; 2008. Available at: https://www.who.int/publications/i/item/9789241501491
  • Ashwell M. Obesity risk: importance of the waist-to-height ratio. Nurs Stand. 2009;23(41):49-54.
  • Cerqueira MS, Santos CA dos, Silva DAS, Amorim PR dos S, Marins JCB, Franceschini S do CC. Validity of the body adiposity index in predicting body fat in adults: A systematic review. Adv Nutr. 2018;9(5):617-624.
  • Rakıcıoğlu N, Tek Acar N, Ayaz A, Pekcan G. Photographic atlas of food and meal portion sizes: Portion sizes and amounts. Ankara: Ata Ofset; 2017.
  • Lorcu F. Data analysis with examples: SPSS applications. Ankara: Detay Publishing; 2015.
  • Bhattacharya A, Pal B, Mukherjee S, Roy SK. Assessment of nutritional status using anthropometric variables by multivariate analysis. BMC Public Health. 2019;19(1):1045.
  • Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014;311(8):806.
  • Reas DL, Nygård JF, Svensson E, Sørensen T, Sandanger I. Changes in body mass index by age, gender, and socio-economic status among a cohort of Norwegian men and women (1990-2001). BMC Public Health. 2007;7(1):269.
  • Gilliat-Wimberly M, Manore Mm, Woolf K, Swan Pd, Carroll SS. Effects of habitual physical activity on the resting metabolic rates and body compositions of women aged 35 to 50 years. J Am Diet Assoc. 2001;101(10):1181-1188.
  • Stevens J, Katz EG, Huxley RR. Associations between gender, age and waist circumference. Eur J Clin Nutr. 2010;64(1):6-15.
  • Bosello O, Vanzo A. Obesity paradox and aging. Eat Weight Disord-Stud Anorexia, Bulim Obes. 2021;26(1):27-35.
  • van der Velde LA, Nguyen AN, Schoufour JD, et al. Diet quality in childhood: the Generation R Study. Eur J Nutr. 2019;58(3):1259-1269.
  • Freeman B, Kelly B, Vandevijvere S, Baur L. Young adults: beloved by food and drink marketers and forgotten by public health? Health Promot Int. 2016;31(4):954-961.
  • Nagata JM, Palar K, Gooding HC, Garber AK, Bibbins-Domingo K, Weiser SD. Food insecurity and chronic disease in us young adults: findings from the national longitudinal study of adolescent to adult health. J Gen Intern Med. 2019;34(12):2756-2762.
  • Sadik M. Determination of the relationship between bread consumption and body mass index in adult individuals [Master’s thesis]. Istanbul (Turkey): Istanbul Medipol University, Institute of Health Sciences, Department of Nutrition and Dietetics; 2019.
  • Romaguera D, Ängquist L, Du H, et al. Food composition of the diet in relation to changes in waist circumference adjusted for body mass index. PLoS One. 2011;6(8):e23384.
  • Halkjær J, Tjønneland A, Overvad K, Sørensen TIA. Dietary predictors of 5-year changes in waist circumference. J Am Diet Assoc. 2009;109(8):1356-1366.
  • Bautista Castaño I, Serra Majem L. Relationship between bread consumption, body weight, and abdominal fat distribution: evidence from epidemiological studies. Nutr Rev. 2012;70(4):218-233.
  • Konieczna J, Romaguera D, Pereira V, et al. Longitudinal association of changes in diet with changes in body weight and waist circumference in subjects at high cardiovascular risk: the PREDIMED trial. Int J Behav Nutr Phys Act. 2019;16(1):139.
  • Kim MN, Lo C-H, Corey KE, et al. Red meat consumption, obesity, and the risk of nonalcoholic fatty liver disease among women: Evidence from mediation analysis. Clin Nutr. 2022;41(2):356-364.
  • Wang Z, Zhang B, Zhai F, et al. Fatty and lean red meat consumption in China: Differential association with Chinese abdominal obesity. Nutr Metab Cardiovasc Dis. 2014;24(8):869-876.
  • Republic of Türkiye Ministry of Health. Turkey Nutrition Guide (TÜBER). 2022. Available from: https://hsgm.saglik.gov.tr/depo/birimler/saglikli-beslenme-ve-hareketli-hayat-db/Dokumanlar/Rehberler/Turkiye_Beslenme_Rehber_TUBER_2022_min.pdf
  • Dreher M. Whole fruits and fruit fiber emerging health effects. Nutrients. 2018;10(12):1833.
  • Nooyens AC, Visscher TL, Schuit AJ, et al. Effects of retirement on lifestyle in relation to changes in weight and waist circumference in Dutch men: a prospective study. Public Health Nutr. 2005;8(8):1266-1274.
  • Drapeau V, Després J-P, Bouchard C, et al. Modifications in food-group consumption are related to long-term body-weight changes. Am J Clin Nutr. 2004;80(1):29-37.
  • Vargas PM, Schneider BC, Costa CS, et al. Age is the most important factor for change in body mass index and waist circumference in older people in southern Brazil. Nutrition. 2023;109:111956.
  • Onat A, Can G, Yüksel H, Ademoğlu E. TARF 2017: Leading the medical community’s approach to chronic diseases. Istanbul (Turkey): Logos Publishing; 2017.
  • Hose Y, Ishihara J, Kotemori A, et al. Applicability of a web-based 24-hour dietary recall tool for Japanese populations in large-scale epidemiological studies. JEA. 2023;33(8):419-427.
There are 39 citations in total.

Details

Primary Language English
Subjects Public Health Nutrition
Journal Section Research Articles
Authors

Fatma Tayhan 0000-0001-8524-9048

Gizem Helvacı 0000-0001-8654-9245

Nurcan Yabancı Ayhan 0000-0003-1233-246X

Publication Date August 31, 2025
Submission Date December 18, 2024
Acceptance Date May 21, 2025
Published in Issue Year 2025 Volume: 6 Issue: 2

Cite

Vancouver Tayhan F, Helvacı G, Yabancı Ayhan N. COMPARISON OF ANTHROPOMETRIC PARAMETERS AND DIETARY INTAKE IN YOUNG AND MIDDLE-AGED ADULTS. Karya J Health Sci. 2025;6(2):43-8.