scholarly journals Is the Pandemic a Risk Factor for Eating Disorders?

2021 ◽  
Author(s):  
Agnieszka Dąbkowska-Mika
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Risk Factor ◽  
Coping Style ◽  
Daily Life ◽  
Unhealthy Food ◽  
Fresh Food ◽  
Media Pressure

COVID-19 has already established direct or indirect effect on the lives of everyone. One of its many consequences is exacerbation of eating disorders´ (ED) triggers. Numerous risk factors for ED are enhanced during pandemic – anxiety, fear, depressed mood. Distance learning or working may result in loss of daily-life routine and feeling of being overwhelmed with duties. Due to forced isolation people are more exposed to social media pressure. Additionally, awareness of limitations of physical activity can develop fear of gaining the weight. These are typical symptoms of Anorexia Nervosa, a disease with the highest mortality rate among psychiatric disorders. Frustration, tedium and lack of external distractors can lead to inappropriate food-related coping style. Especially during the first wave of the pandemic, society was cautious about fresh food supplies and therefore many decided to stock up with processed, unhealthy food. Aggregation of stressors (e.g., worries about health, financial problems, loneliness) may promote binge eating.

Psychosocial Risk Factors for Eating Disorders

2017 ◽  
Author(s):  
Corinna Jacobi ◽  
Kristian Hütter ◽  
Eike Fittig
Keyword(s):  
Risk Factors ◽  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Risk Factor ◽  
Eating Disorder ◽  
Bulimia Nervosa ◽  
Psychosocial Risk ◽  
Cross Sectional ◽  
Cross Sectional Studies ◽  
Sample Case

This chapter provides an updated overview of risk factors for eating disorders, on the basis of the risk factor taxonomy described by (Kraemer et al., 1997). It summarizes risk factors identified in longitudinal studies and markers and retrospective correlates from cross-sectional studies through April 2002 for anorexia nervosa, bulimia nervosa, and binge eating disorder, identifies new studies published between May 2002 and June 2015, and integrates them into the earlier review. The updated review confirms that longitudinal evidence on risk factors is strongest for nonspecific eating disorder diagnoses including subclinical forms and weakest for participants with diagnoses of anorexia nervosa. When strict criteria for caseness are applied, the majority of risk factors were not able to predict distinct diagnoses and only very few risk factors were confirmed in more than one sample. Case prediction, specificity, and replication therefore remain the biggest challenges in risk factor research for eating disorders.

Psychosocial Risk Factors for Eating Disorders

2010 ◽  
pp. 122-136 ◽  
Author(s):  
Corinna Jacobi ◽  
Eike Fittig
Keyword(s):  
Risk Factors ◽  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Risk Factor ◽  
Eating Disorder ◽  
Bulimia Nervosa ◽  
Previous Analysis ◽  
Psychosocial Risk ◽  
Cross Sectional ◽  
Cross Sectional Studies

The objective of this chapter is to provide an updated overview of risk factors for eating disorders on the basis of the risk factor taxonomy described by Kraemer et al. (1997). The chapter summarizes risk factors identified in longitudinal studies and markers and retrospective correlates from cross-sectional studies through April 2002 for the eating disorder syndromes anorexia nervosa, bulimia nervosa, and binge eating disorder. Limitations of these earlier studies are indicated. As part of an update of the previous analysis, results of studies identified between May 2002 and November 2008 are integrated into results of our earlier review. The updated review indicates that longitudinal evidence on risk factors is still much stronger for bulimia nervosa and binge related syndromes, whereas our knowledge of risk factors for anorexia nervosa remains limited. While recent studies were able to overcome some of the limitations of the earlier studies, results of our earlier review are mostly confirmed.

Wybrane czynniki ryzyka chorób układu sercowo-naczyniowego związane z miażdżycą tętnic jako problem zdrowotny wśród młodzieży ponadgimnazjalnej

2018 ◽  
Vol 21 (1A) ◽  
Author(s):  
Zdzisława Chmiel ◽  
Grażyna Hejda ◽  
Monika Binkowska-Bury
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Risk Factor ◽  
Cardiovascular Diseases ◽  
World Health ◽  
Study Group ◽  
Atherosclerosis Risk ◽  
Atherosclerosis Risk Factors ◽  
Atherosclerosis Risk Factor ◽  
Recommended Physical Activity

Introduction. A World Health Organization (WHO) conference on a “second wave” epidemic of cardiovascular diseases, directly linked to arterial sclerosis (AS), predicts that in 2020 cardiovascular diseases will most likely be the leading cause of death in the world. The development of AS begins in youth and progresses with age. It’s intensity depends on the risk factors involved, such as: smoking, hypertension, obesity and fat and sugar disorders in the body. Aim. The aim of this study was to establish the risk factors of cardiovascular diseases and their existence, among the youth of the upper gymnasium school. Material and methods. The research was conducted using 511 volunteer students from upper and lower gymnasium schools, between 16-19 years of age. Our research methods included: a diagnostic questionnaire, the measurement of blood pressure (BP) and anthropometric measurements. In the statistical study, we used chi-square independence testing, the V-Kramer test and the tau-b Kendall test; the level of changes α = 0.05 – was used. Results. Over a half of the study group (52.5%) was characterised with the lack of recommended physical activity, much more common in girls than boys (p = 0.000), just like smoking (p = 0.009) which was declared by 39.7% of the interviewed youth. In turn, a heightened value of systolic and diastolic pressure occurred more often in boys (19.6%) than in girls (12.1%); (p = 0.000 vs. p = 0.003). Excessive body mass was noted in 15.7% of the respondents, also more often in boys than in girls (p = 0.02), and abdominal obesity occurred in 10.2% of the respondents, with no significant differences between the sexes. 42.3% of the respondents showed one, 29.9% showed two and 18.8% showed three atherosclerosis risk factors. 9.0% of the study group showed 4 and more such risk factors. Accumulation of atherosclerosis risk factors occurred significantly more often in girls than in boys (p = 0.002). Conclusions. In all the respondents at least one atherosclerosis risk factor was found, and in over half of the study group, more frequently in girls than in boys, an accumulation of two or more risk factors was observed. Lack of recommended physical activity was the most frequent atherosclerosis risk factor occurring in the youth.

scholarly journals THE RESULTS OF PREVENTIVE MEDICAL EXAMINATION FOR ADULTS IN SHPAKOVSKY DISTRICT OF STAVROPOL REGION IN 2015–2017

2018 ◽  
pp. 16-18
Author(s):  
N.E. Afanasev ◽  
A.K. Shishmanidi ◽  
I.V. Koshel
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Risk Factor ◽  
Medical Examination ◽  
Endocrine Disorders ◽  
Main Risk Factor ◽  
Genitourinary System ◽  
Stavropol Region ◽  
Unbalanced Diet

The article presents the results analysis of preventive medical examination for adults in the Shpakovsky region of Stavropol region for 2015–2017. In the disease structure cardiovascular diseases ranks first, endocrine disorders has the second highest rate of incidence, genitourinary system diseases ranked third. The main risk factor for the chronic non-communicable diseases is unbalanced diet (35,74 %). Low physical activity ranks second accroding to the results of questionnaire (31,23 %) and high blood pressure ranked third (24,45 %). Frequency rate of chronic non-comminicable risk factors detection had been decreased during the years.

scholarly journals Faktor risiko obesitas pada ibu rumah tangga miskin

2012 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Digna Niken Purwaningrum ◽  
Hamam Hadi ◽  
I Made Alit Gunawan
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Logistic Regression ◽  
Risk Factor ◽  
Food Insecurity ◽  
Energy Intake ◽  
Conditional Logistic Regression ◽  
Control Group ◽  
Case Group ◽  
Fat Intake

Background: Food insecurity is associated with allocation of income for high energy density food consumption that may cause obesity in poor family. In addition, low physical activity may lead to obesity, particularly in individual living in disadvantaged situation.Objective: To identify risk factors of obesity among poor housewives in Yogyakarta.Method: This was a case control study, case group was obese housewives and the control group was non obese housewives. The locations of the study were Bumijo and Pringgokusuman which have high population density. The samples were taken purposively. Each group consisted of 70 housewives (1:1) and were matched according to age. Mc.Nemar test and conditional logistic regression were used to identify the risk factors of obesity.Results: There was no difference in characteristics between the two groups. Food insecurity reached 91,43% in the control group, proportion of excessive energy intake reached 37.86% in the case group, higher than in control group (24.29%). Excessive fat intake in the case group reached 30% whereas in the control group was 28.57%. Low physical activity reached 40% in the case group, and 10% in the control group. The result of Mc.Nemar test showed that food insecurity, energy and fat intake had no significant association with obesity (p>0.05). While physical activity was associated with obesity (p=0.0001). The result of conditional logistic regression showed physical activity was dominant risk factor for obesity among poor housewives (R2=0.1916).Conclusion: Food security status was not a risk factor for obesity in poor families; energy intake and fat intake contributed to the prevalence of obesity though the influence was smaller than physical activity.

scholarly journals Analisis Aktivitas Fisik dan Konsumsi Makanan Cepat Saji sebagai Faktor Risiko Terhadap Obesitas pada Siswa-Siswi SMA Negeri 1 Kendari

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Asmarani . ◽  
Andi Uznul Alriansyah ◽  
Juriadi Paddo ◽  
Nina Indriyani N
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
High School ◽  
Risk Factor ◽  
Food Consumption ◽  
Body Fat ◽  
Fast Food ◽  
Senior High School ◽  
Energy Utilization ◽  
Fast Food Consumption

Obesity is a disorder that result from excessive body fat accumulation. Etiology of obesity is not clear, but generally obesity caused by imbalance of intake and energy utilization which energy intake is more than energy utilization. Alteration of consumption pattern and low physical activity at daily life also determine body fat accumulation that cause obesity.This research aimed to analyze physical activity and fast food consumption as risk factors toward obesity at 1st Senior High School of Kendari. This is an observational stuy with case control design. This research’s sample consist of 47th cases and 47th controls that selected by random sampling. Data was analyzed by using Odds Ratio. This research’s instruments were scale, microtoice and questionnaire for physical actovity and fast food consumption among students at age 16-18 years old at 1st Senior High School of Kendari 2018.Result of this research shown that physical activity is a risk factor for obesity (OR = 8,181 ; 95% CI = 3,181-21,035) and fast food consumption is a risk factor for obesity (OR = 14,578 ; 95% CI = 5,083-41,809) among students of 1st Senior High School of Kendari. This research’s conclusion are low physical activity and fast food consumption more than 3 times for a week were risk factors for obesity among students at 1st Senior High School of Kendari.

scholarly journals Prevalence, risk factors and attitude of parents towards childhood obesity among school children in Bangalore city

2018 ◽  
Vol 5 (2) ◽  
pp. 749 ◽  
Author(s):  
Hemavathi Dasappa ◽  
Farah Naaz Fathima ◽  
Krithika Ganesh ◽  
Shankar Prasad
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Risk Factor ◽  
School Children ◽  
Private School ◽  
Overweight And Obesity ◽  
Parental Attitude ◽  
Obesity And Overweight ◽  
Potential Risk Factors ◽  
Structured Questionnaire

Background: Aim of the study was to determine the prevalence, risk factor attitude of parents towards obesity and overweight among the school children between the age group of 6-13 years.Methods: A structured questionnaire was filled by the parents and weight and height was measured by school nurse in a private school in Bangalore city.Results: Prevalence of overweight was 13.20% and obesity was 17.13%. Birth weight and sport was strongly associated with the prevalence. Sports protect the child from the overweight and obesity. Parent’s perception about their child’s BMI status was good. Parent’s attitude of having meal with their child and their estimation of child’s physical activity was protective and the attitude of controlling diet of the child was a risk factor for overweight and obesity. Though the parents were able to estimate their child as overweight and obese they were not willing for further advice.Conclusions: Prevalence of overweight and obesity is increasing. Higher birth weights, parental attitude of controlling child’s diet are the potential risk factors. Involvement in sports, parental attitude of having food with child and awareness about their physical activity are protective. 

scholarly journals Evaluation of a Newly Developed Smartphone App for Risk Factor Management in Young Patients With Ischemic Stroke: A Pilot Study

2022 ◽  
Vol 12 ◽  
Author(s):  
Viktoria Fruhwirth ◽  
Lisa Berger ◽  
Thomas Gattringer ◽  
Simon Fandler-Höfler ◽  
Markus Kneihsl ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Intervention Group ◽  
Smoking Behavior ◽  
Smartphone App ◽  
Younger Patients ◽  
Risk Factor Management ◽  
Post Stroke

Background: Efficient treatment of modifiable vascular risk factors decreases reoccurrence of ischemic stroke, which is of uttermost importance in younger patients. In this longitudinal pilot study, we thus assessed the effect of a newly developed smartphone app for risk factor management in such a cohort.Methods: The app conveys key facts about stroke, provides motivational support for a healthy lifestyle, and a reminder function for medication intake and blood pressure measurement. Between January 2019 and February 2020, we consecutively invited patients with ischemic stroke aged between 18 and 55 years to participate. Patients in the intervention group used the app between hospital discharge and 3-month follow-up. The control group received standard clinical care. Modifiable risk factors (physical activity, nutrition, alcohol consumption, smoking behavior, obesity, and hypertension) were assessed during the initial hospital stay and at a dedicated stroke outpatient department three months post-stroke.Results: The study cohort comprised 21 patients in the app intervention group (62% male; age = 41 ± 11 years; education = 12 ± 3 years) and 21 sex-, age- and education-matched control patients with a comparable stroke risk factor profile. Baseline stroke severity was comparable between groups (intervention: median NIHSS = 3; control: median NIHSS = 4; p = 0.604). Three months post-stroke, patients in the intervention group reported to be physically almost twice as active (13 ± 9 h/week) compared to controls (7 ± 5 h/week; p = 0.022). More intense app usage was strongly associated with higher physical activity (r = 0.60, p = 0.005) and lower consumption of unhealthy food (r = −0.51, p = 0.023). Smoking behavior (p = 0.001) and hypertension (p = 0.003) improved in all patients. Patients in the intervention group described better self-reported health-related quality of life three months post-stroke (p = 0.003).Conclusions: Specifically designed app interventions can be an easily to implement and cost-efficient approach to promote a healthier lifestyle in younger patients with a stroke.

The first epidemiology survey among Hungarian elite athletes: eating disorders, depression and risk factors

2009 ◽  
Vol 150 (1) ◽  
pp. 35-40 ◽  
Author(s):  
Mária Resch ◽  
Péter Haász
Keyword(s):  
Risk Factors ◽  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Bulimia Nervosa ◽  
Elite Athletes

Az anorexia nervosa előfordulása magas az evészavarok szempontjából nagy kockázatú populációnak számító sportolók körében, amit anorexiaatlétika néven jegyez az irodalom. Célunk az evészavarok prevalenciájának felmérése a magyar élsportolók között. Betegek és módszerek: A 2008-ban megrendezésre kerülő olimpia előtt több magyarországi edzőtáborban kérdőíves vizsgálatot végeztünk: demográfiai és edzési adatok, anorexianervosa-felmérő teszt (ANIS) és bulimianervosa-felmérő kérdőív (BITE). Az adatokat SPSS programcsomag segítségével dolgoztuk fel. Eredmények: A különböző sportágakban (kajak-kenu, öttusa, kézilabda, kosárlabda, röplabda, súlyemelés) a 72 sportoló életkorátlaga 22±4,9 év. Testtömegindex-átlag (22,15±2,12 kg/m 2 ) a normáltartományban. Tizenkettő (16,7%) klinikai anorexia nervosa és 5 (6,9%) klinikai bulimia nervosa prevalencia. Legalább egy kóros tünet 73,6%-ban fordult elő az egész populációt tekintve. A sportolók közel egyharmada (29,2%) több alkalommal is átélt mély depresszív hangulatot, de biztosan egy letargiás epizódról 27 (37,5%) sportoló számolhat be. A súlyemelő-, a röplabda- és az öttusasportág versenyzői voltak inkább érintettek. Következtetések: Az átlagpopulációhoz viszonyítva a sportolók körében közel négyszeres az evési attitűdök és a klinikai evészavarok előfordulási gyakorisága, ami korrelál a nemzetközi adatokkal. Kiemelkedő a depressziós tünet gyakorisága, amelynek háttértényezői további részletes vizsgálatokra sarkallnak.

scholarly journals Weight suppression increases odds for future onset of anorexia nervosa, bulimia nervosa, and purging disorder, but not binge eating disorder

2020 ◽  
Vol 112 (4) ◽  
pp. 941-947 ◽  
Author(s):  
Eric Stice ◽  
Paul Rohde ◽  
Heather Shaw ◽  
Chris Desjardins
Keyword(s):  
Risk Factors ◽  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Eating Disorder ◽  
Bulimia Nervosa ◽  
Binge Eating ◽  
Binge Eating Disorder ◽  
Purging Disorder ◽  
Weight Suppression ◽  
Current Weight

ABSTRACT Background Eating disorders affect 13% of females and contribute to functional impairment and mortality, but few studies have identified risk factors that prospectively correlate with future onset of anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED), and purging disorder (PD). Identifying risk factors specific to each eating disorder is critical for advancing etiologic knowledge and designing effective prevention programs. Objectives This study examined whether weight suppression (the difference between a person's highest past weight at their adult height and their current weight) correlates with future onset of AN, BN, BED, and PD. Methods Data from 1165 young women with body image concerns (mean ± SD age: 21.9 ± 6.4 y) who completed annual diagnostic interviews over a 3-y follow-up period were examined. Logistic regression models evaluated the relation of baseline weight suppression to onset risk of each eating disorder controlling for age, dietary restraint, and intervention condition. Results Elevated weight suppression predicted future onset of AN (OR: 1.36; 95% CI: 1.03, 1.80), BN (OR: 1.34; 95% CI: 1.11, 1.62), PD (OR: 1.46; 95% CI: 1.23, 1.74), and any eating disorder (OR: 1.32; 95% CI: 1.12, 1.56), but not BED (OR: 1.10; 95% CI: 0.89, 1.37). Highest past weight correlated with future onset of BN and PD but not onset of AN, BED, or any eating disorder, and baseline current weight was inversely related to future AN onset only, implying that women with the largest difference between their highest past weight and current weight are at greatest risk of eating disorders. Conclusions The results provide novel evidence that weight suppression correlates with future onset of eating disorders characterized by dietary restriction or compensatory weight control behaviors and suggest weight-suppressed women constitute an important risk group to target with selective prevention programs. These trials were registered at clinicaltrials.gov as NCT01126918 and NCT01949649.

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