Aile Hekimliği Polikliniğine Başvuran Hastaların Vücut Kütle İndeksi ile Depresyon Düzeyleri Arasındaki İlişkinin Değerlendirilmesi

Year 2026, Volume: 12 Issue: 1, 15 - 29, 25.02.2026

Aslı Dikmen , Arzu Ayraler

https://doi.org/10.19127/mbsjohs.1754872

https://izlik.org/JA83TY42YH

Abstract

Amaç: Bu çalışma, bir aile hekimliği polikliniğine başvuran hastalarda vücut kütle indeksi (VKİ) ile depresyon düzeyleri arasındaki ilişkiyi değerlendirmeyi ve bu ilişkiyi etkileyebilecek sosyodemografik faktörleri incelemeyi amaçlamıştır. Yöntemler: Bu tek merkezli, kesitsel çalışma, 16 Ekim 2024 ile 16 Nisan 2025 tarihleri arasında Giresun Üniversitesi Eğitim ve Araştırma Hastanesi Aile Hekimliği Polikliniği’ne başvuran 205 bireyi kapsamıştır. Örneklem büyüklüğü G*Power analizi kullanılarak belirlenmiştir. Katılımcıların VKİ hesaplaması için standart boy ve kilo ölçümleri yapılmış; sosyodemografik özellikleri ve Beck Depresyon Envanteri’ni içeren 11 maddelik bir anket uygulanmıştır. İstatistiksel analizler SPSS versiyon 26.0 kullanılarak gerçekleştirilmiştir. Uygun korelasyon ve karşılaştırmalı analizler yapılmış ve p-değeri <0,05 olan sonuçlar istatistiksel olarak anlamlı kabul edilmiştir. Bulgular: Bu çalışmada, VKİ ile depresyon arasında istatistiksel olarak anlamlı bir ilişki bulunmamıştır. Ancak, yaş ile VKİ arasında zayıf pozitif bir korelasyon gözlenirken, yaş ile depresyon arasında zayıf negatif bir korelasyon saptanmıştır. Depresyon düzeyleri kadınlarda ve bekar bireylerde daha yüksek bulunmuştur. Evli, eğitim düzeyi daha düşük ve işsiz katılımcıların VKİ değerleri anlamlı derecede daha yüksek çıkmıştır. Ayrıca, düzenli fiziksel aktivite yapan bireylerin depresyon düzeylerinin daha düşük olduğu belirlenmiştir. Sonuç: VKİ ile depresyon düzeyleri arasında istatistiksel olarak anlamlı bir ilişki tanımlanmamış olsa da, bulgular obezite ve depresyonun bireysel faktörlerden etkilenen çok boyutlu bir etkileşim içinde olduğunu düşündürmektedir. Bu nedenle, birinci basamak sağlık hizmetlerinde hem fiziksel hem de ruhsal sağlığı ele alan bütüncül ve multidisipliner yaklaşımlar uygulanmalıdır.

Keywords

Vücut Kitle İndeksi , Depresyon , Obezite

Evaluation of the Relationship Between Body Mass Index and Depression Levels of Patients Applying to the Family Medicine Outpatient Clinic

https://izlik.org/JA83TY42YH

Abstract

Objective: This study aimed to evaluate the relationship between body mass index (BMI) and depression levels among patients admitted to a family medicine outpatient clinic and to examine the sociodemographic factors that may influence this relationship.       Methods: This single-center, cross-sectional study included 205 individuals who applied to the Family Medicine Outpatient Clinic of Giresun University Training and Research Hospital between October 16, 2024, and April 16, 2025. The sample size was determined using G*Power analysis. Participants underwent standardized height and weight measurements for BMI calculation and completed an 11-item questionnaire including sociodemographic characteristics and the Beck Depression Inventory. Statistical analyses were performed using SPSS version 26.0. Correlation and comparative analyses were conducted as appropriate, and a p-value<0.05 was considered statistically significant. Results: In this study, no statistically significant relationship was found between BMI and depression. However, a weak positive correlation was observed between age and BMI, while a weak negative correlation was found between age and depression. Depression levels were higher among women and unmarried individuals. Married, less educated, and unemployed participants had significantly higher BMI values. In addition, individuals who engaged in regular physical activity had lower levels of depression. Conclusion: Although no statistically significant relationship was identified between BMI and depression levels, the findings suggest that obesity and depression interact in a multidimensional manner influenced by individual factors. Therefore, holistic and multidisciplinary approaches addressing both physical and mental health should be implemented in primary care.                                                                             

Keywords

Body Mass Index , Depression , Obesity

Supporting Institution

No

Thanks

The authors would like to appreciate the patients participation in this study.

References

• Umay B, Demiralp N, Koç H. Investigation of the relationship between body image and depression. Canakkale Onsekiz Mart Univ J Sports Sci. 2024;7(2): 1-10.
• Yıldız S, Eliş Yıldız S. The relationship between bullying and depression: a study among healthcare workers in Kars, Türkiye. Istanbul Commer Univ J Soc Sci. 2009;8(15): 133-150.
• Özmen D, Özmen E, Ergin D, Soysal S, Unsal S, Bugay N. The association of self-esteem, depression and body satisfaction with obesity among Turkish adolescents. BMC Public Health. 2007;7: 80. doi:10.1186/1471-2458-7-80.
• WONCA Europe. The European definition of general practice/family medicine. 2011 ed. Available from: https://www.woncaeurope.org/page/definition-of-general-practice-family-medicine. Accessed 2022 Oct 25.
• World Health Organization. Integrating mental health into primary care: a global perspective. Geneva: WHO Press; 2008
• Carpenter KM, Hasin DS, Allison DB, Faith MS. Relationships between obesity and DSM-IV major depressive disorder, suicide ideation, and suicide attempts: results from a general population study. Am J Public Health. 2000;90(2): 251-257.
• Chen Y, Zhang J, Yuan L, Hu H, Li T, Zhao Y, et al. Obesity and risk of depressive disorder in children and adolescents: a meta-analysis of observational studies. Child Care Health Dev. 2024;50(2): e13237. doi:10.1111/cch.13237.
• Deveci A, Demet MM, Özmen B, Kafesçiler SÖ, Özmen E, Hekimsoy Z, et al. Treatment response and alexithymia in obesity. Klin Psikiyatr Derg. 2006;9(4): 170-176.
• Ross CE. Overweight and depression. J Health Soc Behav. 1994;35(1): 63-79.
• Satman I, Omer B, Tutuncu Y, Kalaca S, Gedik S, Dinccag N, et al. Twelve-year trends in the prevalence and risk factors of diabetes and prediabetes in Turkish adults. Eur J Epidemiol. 2013;28(2): 169-180. doi:10.1007/s10654-013-9771-5.
• Djernes JK. Prevalence and predictors of depression in populations of elderly: a review. Acta Psychiatr Scand. 2006;113(5): 372-387.
• Stone AA, Schwartz JE, Broderick JE, Deaton A. A snapshot of the age distribution of psychological well-being in the United States. Proc Natl Acad Sci U S A. 2010;107(22): 9985-9990.
• Albert PR. Why is depression more prevalent in women? J Psychiatry Neurosci. 2015;40(4): 219-221.
• Salk RH, Hyde JS, Abramson LY. Gender differences in depression in representative national samples: meta-analyses of diagnoses and symptoms. Psychol Bull. 2017;143(8): 783-822.
• Kayahan B, Altıntoprak E, Karabilgin S, Öztürk Ö. Prevalence of depression and its severity among women aged 15-49 years. Anatol J Psychiatry. 2003;4(4): 208-219.
• Yalçın C. Investigation of psychiatric comorbidity in patients diagnosed with obesity [specialization thesis]. Afyonkarahisar: Afyon Kocatepe University Faculty of Medicine, Department of Mental Health and Diseases; 2013.
• Nyaruchuca CN, Achen JH, Msuya JM, Shayo NB, Kulwa KB. Prevalence and awareness of obesity among people of different age groups in educational institutions in Morogoro, Tanzania. East Afr Med J. 2003;80(2): 68-72.
• Coyne JC, Thompson R, Palmer SC. Marital quality, coping with conflict, and depression: a longitudinal investigation. J Fam Psychol. 2001;15(1): 123-134.
• Holt-Lunstad J, Smith TB, Layton JB. Social relationships and mortality risk: a meta-analytic review. PLoS Med. 2010;7(7): e1000316. doi:10.1371/journal.pmed. 1000316.
• Whisman MA, Uebelacker LA. Impairment and distress associated with relationship discord in a national sample of married or cohabiting adults. J Fam Psychol. 2003;17(4): 561-566.
• Cutler DM, Glaeser EL, Shapiro JM. Why have Americans become more obese? J Econ Perspect. 2003;17(3): 93-118.
• Monteiro CA, Moura EC, Conde WL, Popkin BM. Socioeconomic status and obesity in adult populations of developing countries: a review. Bull World Health Organ. 2004;82: 940-946.
• Tanyolaç S, Sertkaya Çıkım A, Azezli AD, Orhan Y. Correlation between educational status and cardiovascular risk factors in an overweight and obese Turkish female population. Anatol J Cardiol. 2008;8(5): 336-341.
• Sarlio-Lahteenkorva S, Lahelma E. The association of body mass index with social and economic disadvantage in women and men. Int J Epidemiol. 1999;28(3): 445-449.
• Kim TJ, von dem Knesebeck O. Is an insecure job better for health than having no job at all? A systematic review of studies investigating the health-related risks of both job insecurity and unemployment. BMC Public Health. 2015;15: 985. doi:10.1186/s12889-015-2313-1.
• Devaux M, Sassi F. Social inequalities in obesity and overweight in 11 OECD countries. Eur J Public Health. 2013;23(3): 464-469.
• Mammen G, Faulkner G. Physical activity and the prevention of depression. Am J Prev Med. 2013;45(5): 649-657.
• Blumenthal JA, Babyak MA, Moore KA, Craighead WE, Herman S, Khatri P, et al. Effects of exercise training on older patients with major depression. Arch Intern Med. 1999;159(19): 2349-2356.