The Relationship of Disordered Eating Attitudes with Stress Level, Bone Turnover Markers, and Bone Mineral Density in Obese Adolescents

Zhou

International Journal of Clinical Practice

et al. 2023

Background. This study aimed to determine the effect of body mass index (BMI) on bone turnover markers in girls with idiopathic central precocious puberty (ICPP) according to weight status at diagnosis. Methods. Two hundred and eleven girls with ICPP were divided according to their weight status at diagnosis into three groups: normal weight, overweight, and obese. The serum levels of total procollagen type 1 N-terminal propeptide (P1NP), N-terminal midfragment of osteocalcin, β-C-terminal telopeptide of type 1 collagen, and some biochemical indicators were measured. Associations between variables were evaluated by multiple regression analysis. Results. Serum P1NP concentrations were significantly different among groups ( p < 0.001 ). No other significant differences were noted in N-terminal midfragment of osteocalcin and β-C-terminal telopeptide of type 1 collagen. BMI was associated with estradiol (r = 0.155, p < 0.05 ) and inversely associated with P1NP (r = −0.251, p < 0.01 ), luteinizing hormone peak (r = −0.334, p < 0.01 ), follicle-stimulating hormone peak (r = −0.215, p < 0.01 ), and luteinizing hormone/follicle-stimulating hormone peak (r = −0.284, p < 0.01 ). Multiple regression analysis of factors associated with BMI showed that it was correlated with P1NP, follicle-stimulating hormone base, and luteinizing hormone peak in the overweight group and the obese group. Conclusions. Our findings showed that BMI was associated with P1NP, revealing the reduction of bone formation in overweight and obese girls with ICPP. During the diagnosis and treatment of girls with ICPP, attention should be paid to body weight and bone metabolism.

Section: Discussionmentioning

confidence: 99%

Relationship between Body Mass Index and Bone Turnover Markers in Girls with Idiopathic Central Precocious Puberty

Zhou

International Journal of Clinical Practice

et al. 2023

Journal of Nutrition and Metabolism

“…Counting colors rather than calories may be a more effective way to engage long-term lifestyle change, although that concept has yet to be tested. Using this simplified approach to food may also help the category of restrained eaters, who tend to have low self-esteem [ 179 ], higher stress [ 180 ], and disordered eating patterns compared with nonrestrained eaters.…”

Section: Practical Ways To Get More Colorful Fruits and Vegetablesmentioning

confidence: 99%

A Review of the Science of Colorful, Plant-Based Food and Practical Strategies for “Eating the Rainbow”

Minich

2019

Over the past decades, thousands of published studies have amassed supporting recommendations to consume fruits and vegetables for physiological and psychological health. Newer research has emerged to suggest that these plant-based foods contain a plethora of not only vitamins and minerals, but perhaps, most importantly, phytonutrients. These phytonutrients have known pleiotropic effects on cellular structure and function, ultimately resulting in the modulation of protein kinases and subsequent epigenetic modification in a manner that leads to improved outcomes. Even though eating fruits and vegetables is a well-known feature of a healthy dietary pattern, population intakes continue to be below federal recommendations. To encourage consumers to include fruits and vegetables into their diet, an “eat by color” approach is proposed in this review. Although each individual food may have numerous effects based on its constituents, the goal of this simplified approach was to identify general patterns of benefits based on the preponderance of scientific data and known mechanisms of food-based constituents. It is suggested that such a consumer-oriented categorization of these plant-based foods may lead to greater recognition of their importance in the daily diet throughout the lifespan. Other adjunctive strategies to heighten awareness of fruits and vegetables are discussed.

“…In the literature, it was shown that there is a relation-ship between depression and obesity (4)(5)(6)(7)(8) . Both depression and obesity were reported to be associated with an increase in cardiometabolic risk factors both in adolescents and adults (3,9,10) .…”

Section: Discussionmentioning

confidence: 99%

“…Between January 2012 to December 2015, four different studies with overweight/obese adolescents were conducted in our clinic. For this study, the cases in those four studies were retrospectively screened and those evaluated with Children's Depression Inventory (CDI) were included in this study (8,(11)(12)(13) . Pubertal patients who met the criteria for definition of overweightness/obesity established by Cole et al (14) according to age and gender and had been evaluated with CDI were included in this study.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Association Between Depression and Cardiometabolic Risk Factors in Adolescents with Obesity

Güneş¹,

Çağlayan²,

Demirdöğen³

et al. 2020

BMJ

Self Cite

Objective: The aim of this study was to examine whether the presence of depression in adolescents who were overweight or obese increase the likelihood of cardiometabolic risk factors. Method: We performed a retrospective cross-sectional analysis of the data from adolescents who were overweight or obese, aged 11-18 years, who were evaluated in our clinic from January 2012 to December 2015. Depression was evaluated by “Children’s Depression Inventory”. Hypertension, dyslipidemia, hyperinsulinemia, hyperglycaemia and insulin resistance were defined as cardiometabolic risk factors. The degree of obesity was calculated as the body mass index standard deviation score. Results: Among 283 adolescents 75 (26.5%) were overweight, and 208 (73.5%) had obesity, the mean age was 14.02±1.67 years and 168 (59.4%) of the subjects were girls. The body mass index standard deviation score was in median 2.36±0.62, Children’s Depression Inventory score was in median 12.72±6.5, and 47 (16.6%) of the participants were found depressed. Depression frequency was found higher in females than in males (p=0.047). Body mass index standard deviation score had positive correlation with Children’s Depression Inventory scores (r=0.123, p= 0.038). In univariate analysis, in depressed group hyperinsulinemia was found 2.3 times more frequent than in nondepressed group (p=0.026). In logistic regression analysis this relation disappeared. Conclusion: We showed that severity of depression increased, as the degree of obesity increased, but we could not find any clear relationship between depression and cardiometabolic risk factors in adolescents who were overweight or obese.