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1.
Nutrition ; 123: 112418, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38569254

ABSTRACT

OBJECTIVE: Orthognathic surgery is a complex orofacial surgery that can significantly impact occlusal function and effect nutritional and quality of life parameters. This study aimed to evaluate alterations in dietary intake, chewing function, physical activity, and oral health-related quality of life of patients undergoing orthognathic surgery. RESEARCH METHODS AND PROCEDURES: In this prospective longitudinal study, the assessments were conducted at: preoperatively (T0) and postoperative first week (T1), second week (T2), first month (T3), and third month (T4) between May 2021 and March 2023. Sociodemographic questionnaire, 24-h dietary recall record, chewing ability form, International Physical Activity Questionnaire, and Oral Health Impact Profile-14 (OHIP-14) was applied at face-to-face interviews. RESULTS: Seventy eligible orthognathic surgery patients were evaluated, and 37 patients (52.8%) completed this study. Energy and fat intake significantly decreased from T0 to T1 (P < 0.001) and returned to basis by T4 (P = 0.015). Fiber intake was found to be lowest at T1 and T2 compared with other time points (P < 0.001). Chewing ability showed a deterioration and then improvement; however, patients still had difficulties chewing hard foods at T4. The OHIP-14 increased at T2 and T3 from T0 (P < 0.001 and P = 0.021, respectively) and showed a significant improvement at T4 (P < 0.05). CONCLUSION: The findings indicate a temporary decline in nutritional intake and chewing ability with subsequent recovery by the third month postsurgery. These changes, along with the trends in oral health-related quality of life, underscore the need for tailored nutritional and functional rehabilitation programs following orthognathic surgery.


Subject(s)
Mastication , Nutritional Status , Oral Health , Orthognathic Surgical Procedures , Quality of Life , Humans , Female , Male , Oral Health/statistics & numerical data , Prospective Studies , Longitudinal Studies , Mastication/physiology , Adult , Young Adult , Postoperative Period , Surveys and Questionnaires , Preoperative Period , Diet/statistics & numerical data , Diet/methods , Exercise , Adolescent
2.
Br J Oral Maxillofac Surg ; 62(3): 278-283, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38336577

ABSTRACT

The aim of this study was to investigate the impact of bimaxillary orthognathic surgery on patients' anthropometric measures and laboratory parameters. This study was conducted on patients who underwent bimaxillary orthognathic surgery. Anthropometric measurements were collected before surgery (T0) and at intervals of one week (T1), two weeks (T2), one month (T3), and three months (T4) postoperatively, and laboratory parameters at T0 and T4. Data analysis included repeated-measures ANOVA for assessing weight changes, body mass index (BMI) and fat percentage changes, the Friedman test for muscle mass changes, and independent t tests to understand gender-based differences. Significant reductions were observed in weight (mean differences ranging from 2.26 kg to 3.84 kg, 95.00% CI: 1.29 to 4.62, p < 0.01) and BMI (mean differences ranging from 0.76 to 1.32, 95.00% CI: 0.38 to 1.58, p < 0.01) postoperatively at all follow-up points. Fat percentage changes were significant between T0 - T3 (MD = 1.17, 95.00% CI: 0.26 to 2.08, p < 0.05) and T0 - T4 (MD = 1.28, 95.00% CI: 0.14 to 2.43, p < 0.05). Changes in muscle mass were significant until T3 (MD ranging from 71.00 to 107.0, p < 0.01). Also, haemoglobin levels were significantly higher at T0 than T4 (MD = 0.35, 95% CI: 0 to 0.7). These changes showed no significant gender-based differences (p > 0.05). Our study showed that orthognathic surgery prompts temporary changes in body weight, Body Mass Index, and haemoglobin levels. Future research should explore interventions to mitigate these changes and enhance postoperative recovery.


Subject(s)
Anthropometry , Body Mass Index , Body Weight , Orthognathic Surgical Procedures , Humans , Female , Male , Young Adult , Adult , Follow-Up Studies , Maxilla/surgery , Osteotomy, Le Fort , Osteotomy, Sagittal Split Ramus , Hemoglobins/analysis , Sex Factors , Cephalometry , Adolescent , Adipose Tissue/pathology , Masseter Muscle , Muscle, Skeletal , Mandible/surgery , Maxillary Osteotomy , Weight Loss
3.
Food Sci Nutr ; 11(12): 8060-8071, 2023 Dec.
Article in English | MEDLINE | ID: mdl-38107130

ABSTRACT

The aim of this study was to determine the effect on the anthropometric and biochemical parameters for women with insulin resistance when lyophilized dried cornelian cherry (Cornus mas L., CM) was added to medical nutrition therapy (MNT). The study was conducted with 84 women aged 18-45, who had been diagnosed with insulin resistance. Participants were randomized into four groups: MNT + 20 g lyophilized dried CM group (DCm, n = 22), MNT group (D, n = 21), only 20 g lyophilized dried CM group (Cm, n = 21), and the control group (C, n = 20). All participants were followed for 12 weeks. While pre- and post-intervention biochemical parameters were recorded from patient files, anthropometric measurements and food consumption records were taken every 15 days. Pre-intervention groups were homogeneously distributed. Post-intervention, among the groups, all anthropometric measurements were similar between the DCm and D, while the percentage of decrease in insulin resistance-related parameters was approximately two times greater in DCm than in D (p < .05). When the Cm and C were compared, it was found that all post-intervention anthropometric measurements were similar, but the percentage of decrease in fasting blood glucose, fasting insulin, and HOMA-IR (Homeostasis Model Assessment-Insulin Resistance) values were greater in C (p < .05). In this study, it was concluded that CM consumption resulted with a decrease in insulin resistance-related biochemical parameters independent of body weight change. Nevertheless, MNT has positive effects on women with insulin resistance, and adding lyophilized dried CM to MNT improves insulin resistance-related parameters and may be beneficial for preventing the development of diabetes.

4.
Clin Nutr ESPEN ; 41: 261-267, 2021 02.
Article in English | MEDLINE | ID: mdl-33487274

ABSTRACT

BACKGROUND & AIMS: Malnutrition is one of the most important factors affecting the prognosis of inpatients. The aim of this study is to determine the malnutrition risk of hospitalized patients and to examine the relationship between the presence of malnutrition and other parameters. METHODS: The study included 162 inpatients over the age of 25 who were staying in the hospital's internal medicine service for 7 days or more and who volunteered to participate in the study. A demographic-information questionnaire, consisting of 5 sections, a 24-h food recall record, NRS-2002, NRI and Beck Depression Inventory was given to patients during bedside interviews. After obtaining the necessary permission, the anthropometric measurements and biochemical parameter values of the patients were taken from their files. All statistical analyzes were performed by researchers with the SPSS package program. RESULTS: Of 162 patients (48.8% female, 51.2% male), 24.7% were at risk for malnutrition according to NRS-2002 and 66.7% of the patients were not depressive, based on the Beck Depression Inventory scale. The malnutrition risk was higher (60.0%) in patients who had been hospitalized for more than 15 days (p = 0.010). The majority of those with malnutrition had no problems preventing them from eating (32.5%), were found to be not depressive (52.5%) and were in the normal range of body mass index (57.5%) (p = 0.002, p = 0.034, p = 0.001; respectively). Nutrient intake was lower in patients with a higher malnutrition risk, but the difference was insignificant (p > 0.05). Albumin levels (p = 0.028) and total protein levels (p = 0.015) were significantly lower in patients who were at risk of malnutrition. While overweight patients showed higher levels of serum albumin (p < 0.001), CRP levels were found to be lower in overweight patients (p < 0.001). CONCLUSIONS: It was found that the majority of patients with malnutrition were in the normal range for BMI. Nutritional intake and biochemical parameters should be followed closely in patients who are at risk of malnutrition. Depression can be a cause for insufficient nutrition and should be evaluated, particularly in patients whose length of hospital stay is greater than 7 days.


Subject(s)
Inpatients , Malnutrition , Cross-Sectional Studies , Female , Hospitals , Humans , Male , Malnutrition/diagnosis , Malnutrition/epidemiology , Nutrition Assessment
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