U-shaped relationship between depression and body mass index in the Korean adults

2017 ◽  
Vol 45 ◽  
pp. 72-80 ◽  
Author(s):  
J.-H. Lee ◽  
S.K. Park ◽  
J.-H. Ryoo ◽  
C.-M. Oh ◽  
J.-M. Choi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Multiple Logistic Regression Analysis ◽  
Epidemiologic Studies ◽  
Specific Pattern ◽  
Obese Group ◽  
Health Study ◽  
Cross Sectional ◽  
Increased Risk ◽  
The Relationship

AbstractBackground:Although a number of studies have examined the relationship between depression and obesity, it is still insufficient to establish the specific pattern of relationship between depression and body mass index (BMI) categories. Thus, this study was aimed to investigate the relationship between depression and BMI categories.Methods:A cross-sectional study was conducted for a cohort of 159,390 Korean based on Kangbuk Samsung Health Study (KSHS). Study participants were classified into 5 groups by Asian-specific cut-off of BMI (18.5, 23, 25 and 30 kg/m2). The presence of depression was determined by Center for Epidemiologic Studies-Depression scales (CES-D) = 16 and = 25. The adjusted odd ratios (ORs) for depression were evaluated by multiple logistic regression analysis, in which independent variable was 5 categories of BMI and dependent variable was depression. Subgroup analysis was conducted by gender and age.Results:When normal group was set as a reference, the adjusted ORs for depression formed U-shaped pattern of relationship with BMI categories [underweight: 1.31 (1.14–1.50), overweight: 0.94 (0.85–1.04), obese group: 1.01 (0.91–1.12), severe obese group: 1.28 (1.05–1.54)]. This pattern of relationship was more prominent in female and young age group than male and elderly subgroup. BMI level with the lowest likelihood of depression was 18.5 kg/m2 to 25 kg/m2 in women and 23 kg/m2 to 25 kg/m2 in men.Conclusions:There was a U-shaped relationship between depression and BMI categories. This finding suggests that both underweight and severe obesity are associated with the increased risk for depression.

Body Mass Index of 23 or More is a Risk Factor for Hypertension and Hyperlipidemia in Japanese Workers

2007 ◽  
Vol 104 (3) ◽  
pp. 733-738 ◽  
Author(s):  
Tomoyuki Kawada ◽  
Maki Morihashi ◽  
Harumi Ueda ◽  
Takako Sirato
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Weight Control ◽  
Cross Sectional ◽  
Japanese Workers ◽  
Increased Risk ◽  
The Mean ◽  
Cross Sectional Design ◽  
Prevention Of Hypertension ◽  
The Relationship

In comparison with western populations, body mass index (BMI) of the Japanese population is typically lower. In this study, the relationship between BMI and other metabolic risk factors was examined in 1,130 male manufacturing workers surveyed from 2000 to 2003. The association between the BMI and the relative risk of hypertension was evaluated in a cross-sectional design using logistic regression analysis. The mean BMI in the subjects was 23.6 ( SD = 3.2). Of the total number of subjects, 26.6% and 3.3% were classified as pre-obese and obese, respectively. Multivariate analysis indicated that BMI of 23 or greater was significantly associated with an increased risk of hypertension and/or hyperlipidemia. Health education of weight control of borderline obesity of workers is important for the primary prevention of hypertension and hyperlipidemia in Japan.

scholarly journals The relationship of body mass index to penile length and testicular volume in adolescent boys

2012 ◽  
Vol 52 (5) ◽  
pp. 267
Author(s):  
Rizky Adriansyah ◽  
Muhammad Ali ◽  
Hakimi Hakimi ◽  
Melda Deliana ◽  
Siska Mayasari Lubis
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Junior High School ◽  
Testicular Volume ◽  
Adolescent Boys ◽  
Penile Length ◽  
School Students ◽  
Cross Sectional ◽  
Relationship Of ◽  
The Relationship

Background Evidence suggests that obesity may be related toearly onset of puberty in girls. However, few studies have found alink between body mass index (BMI) and puberty onset in boys.More study is needed to assess the relationship of BMI to penilelength and testicular volume.Objective To investigate the relationship ofBMI to penile lengthand testicular volume in adolescent boys.Methods A cross􀀿sectional study was carried out on adolescentboys aged 9 to 14 years in Secanggang District, Langkat Regency,North Sumatera Province in August 2009. Subjects' BMIs werecalculated by dividing body weight (BW) in kilograms by bodyheight (BH) in meters squared. Penile length (em) was measuredwith a spatula. We took the average of three measurements fromthe symphysis pubis to the tip of the glans penis. Testicular volume(mL) was estimated by palpation using an orchidometer. Pearson'scorrelation test (r) was used to assess the relationship of BMI topenile length and BMI to testicular volume.Resu lts There were 108 participants, consisting of 64primary school students and 44 junior high school students.Subjects' mean age was 11.7 (SO 1.62) years; mean BWwas 35.2 (SO 8.48) kg; mean BH was 1.4 (SO 0.11) m;mean BMI was 17.5 (SO 2.34) kg/m'; mean penile lengthwas 4.5 (SO 1.25) cm; and mean testicular volume was 3.6(SD 1.20) mL. We found no significant association betweenBMI and penile length (r􀀻-0.25, P􀀻0.06), nor betweenBMI and testicular volume (r􀀻-O.21; P􀀻O.09).Conclusion T here was no significant relationship ofBMI to penilelength nor BMI to testicular volume in adolescent boys.[Paediatr lndanes. 2012;52:267-71].

scholarly journals Maternal overweight and its relation with child’s anthropometric indices

2021 ◽  
Vol 21 (2) ◽  
pp. 379-388
Author(s):  
Marcela Martins Soares ◽  
Leidjaira Lopes Juvanhol ◽  
Andreia Queiroz Ribeiro ◽  
Patrícia Feliciano Pereira ◽  
Sylvia C. C. Franceschini ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Linear Regression Models ◽  
Maternal Weight ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Increased Risk ◽  
Waist To Height Ratio ◽  
Maternal Overweight

Abstract Objectives: to investigate the relation between maternal overweight and child’s anthropometric indices, identifying the interaction with the child's age. Methods: a cross-sectional study with mothers and their children under 2 years old. The mothers’ body mass index (BMI), waist-to-hip ratio and waist-to-height ratio was calculated. In children, we calculated height/age (H/A), body mass index/age (BMI/A), weight/height (W/H) and weight/age (W/A) indices. The means of the anthropometric indices of children with excess weight and maternal cardiometabolic risk were compared. Mothers and children’s anthropometric indices were correlated. Linear regression models were proposed. We investigated the child's age interaction with anthropometric variables of the dyad. Results: the means of BMI/A and W/H were higher in children of overweight mothers and the means of BMI/A, W/H and W/A were higher when mothers had increased risk for cardiometabolic diseases. There was an association of maternal weight and height with the W/A index; maternal BMI with W/H; maternal height with H/A; maternal weight, BMI and waist circumference with BMI/A. The children's age did not interact with the assessed parameters. Conclusion: children under 2 years of age, whose mothers are overweight, tend to show changes in weight, regardless of age.

scholarly journals The Relationship between Body Mass Index, Obesity, and LINE-1 Methylation: A Cross-Sectional Study on Women from Southern Italy

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Andrea Maugeri ◽  
Martina Barchitta ◽  
Roberta Magnano San Lio ◽  
Giuliana Favara ◽  
Claudia La Mastra ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Dna Methylation ◽  
Body Mass ◽  
Methylation Level ◽  
Molecular Mechanisms ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Relationship

Uncovering the relationship between body mass index (BMI) and DNA methylation could be useful to understand molecular mechanisms underpinning the effects of obesity. Here, we presented a cross-sectional study, aiming to evaluate the association of BMI and obesity with long interspersed nuclear elements (LINE-1) methylation, among 488 women from Catania, Italy. LINE-1 methylation was assessed in leukocyte DNA by pyrosequencing. We found a negative association between BMI and LINE-1 methylation level in both the unadjusted and adjusted linear regression models. Accordingly, obese women exhibited lower LINE-1 methylation level than their normal weight counterpart. This association was confirmed after adjusting for the effect of age, educational level, employment status, marital status, parity, menopause, and smoking status. Our findings were in line with previous evidence and encouraged further research to investigate the potential role of DNA methylation markers in the management of obesity.

scholarly journals Maternal Body Mass Index and Breastfeeding Non-Initiation and Cessation: A Quantitative Review of the Literature

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2684
Author(s):  
Kyoko Nomura ◽  
Sachiko Minamizono ◽  
Kengo Nagashima ◽  
Mariko Ono ◽  
Naomi Kitano
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Normal Weight ◽  
Maternal Body Mass Index ◽  
Review Of The Literature ◽  
Maternal Body ◽  
Cross Sectional ◽  
Quantitative Review ◽  
Increased Risk ◽  
Meta Analyses

This study aims to investigate which maternal body mass index (BMI) categories are associated with the non-initiation or cessation of breastfeeding (BF) based on a quantitative review of the literature. We searched Ovid MEDLINE and EBSCO CINAHL for peer-reviewed articles published between 1946 (MEDLINE) or 1981 (CINAHL), and 2019. Selected studies were either cross-sectional or cohort studies, of healthy mothers and infants, that reported nutrition method (exclusive/full or any) and period (initiation/duration/cessation) of breastfeeding according to maternal BMI levels. Pairwise meta-analyses of 57 studies demonstrated that the pooled odds risks (OR) of not initiating BF among overweight and obese mothers compared to normal weight mothers were significant across 29 (OR 1.33, 95% confidence interval (CI), 1.15–1.54, I2 = 98%) and 26 studies (OR 1.61, 95% CI, 1.33–1.95, I2 = 99%), respectively; the pooled risks for BF cessation were inconsistent in overweight and obese mothers with substantial heterogeneity. However, we found that overweight mothers (n = 10, hazard ratio (HR) 1.16, 95% CI, 1.07–1.25; I2 = 23%) and obese mothers (n = 7, HR 1.45, 95% CI: 1.27–1.65; I2 = 44%) were both associated with an increased risk of not continuing any BF and exclusive BF, respectively. Overweight and obese mothers may be at increased risk of not initiating or the cessation of breastfeeding.

scholarly journals The Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study

Pain Medicine ◽  
2020 ◽  
Vol 21 (10) ◽  
pp. 2563-2572 ◽  
Author(s):  
Diana M Higgins ◽  
Eugenia Buta ◽  
Alicia A Heapy ◽  
Mary A Driscoll ◽  
Robert D Kerns ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Pain Intensity ◽  
Body Mass ◽  
Negative Binomial ◽  
Low Back ◽  
Veterans Health ◽  
Health Administration ◽  
Electronic Health Record Data ◽  
Cross Sectional ◽  
The Relationship

Abstract Objective To examine the relationship between body mass index (BMI) and pain intensity among veterans with musculoskeletal disorder diagnoses (MSDs; nontraumatic joint disorder; osteoarthritis; low back, back, and neck pain). Setting Administrative and electronic health record data from the Veterans Health Administration (VHA). Subjects A national cohort of US military veterans with MSDs in VHA care during 2001–2012 (N = 1,759,338). Methods These cross-sectional data were analyzed using hurdle negative binomial models of pain intensity as a function of BMI, adjusted for comorbidities and demographics. Results The sample had a mean age of 59.4, 95% were male, 77% were white/Non-Hispanic, 79% were overweight or obese, and 42% reported no pain at index MSD diagnosis. Overall, there was a J-shaped relationship between BMI and pain (nadir = 27 kg/m2), with the severely obese (BMI ≥ 40 kg/m2) being most likely to report any pain (OR vs normal weight = 1.23, 95% confidence interval = 1.21–1.26). The association between BMI and pain varied by MSD, with a stronger relationship in the osteoarthritis group and a less pronounced relationship in the back and low back pain groups. Conclusions There was a high prevalence of overweight/obesity among veterans with MSD. High levels of BMI (>27 kg/m2) were associated with increased odds of pain, most markedly among veterans with osteoarthritis.

scholarly journals Body Mass Index and Total Symptom Burden in Myeloproliferative Neoplasms Discovery of a U-shaped Association

Cancers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2202 ◽  
Author(s):  
Sarah Friis Christensen ◽  
Robyn Marie Scherber ◽  
Nana Brochmann ◽  
Martin Goros ◽  
Jonathan Gelfond ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Myeloproliferative Neoplasms ◽  
Philadelphia Chromosome ◽  
Myeloproliferative Neoplasm ◽  
Symptom Burden ◽  
Normal Weight ◽  
Analysis Of Covariance ◽  
Cross Sectional ◽  
Increased Risk

Elevated body mass index (BMI) is a global health problem, leading to enhanced mortality and the increased risk of several cancers including essential thrombocythemia (ET), a subtype of the Philadelphia-chromosome negative myeloproliferative neoplasms (MPN). Furthermore, evidence states that BMI is associated with the severity of symptom burden among cancer patients. MPN patients often suffer from severe symptom burden. The purpose of this study was to examine whether deviations from a normal BMI in an MPN population are associated with higher symptom burden and reduced quality of life (QoL). A combined analysis of two large cross-sectional surveys, the Danish Population-based Study, MPNhealthSurvey (n = 2044), and the international Fatigue Study (n = 1070), was performed. Symptoms and QoL were assessed using the validated Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF). Analysis of covariance was used to estimate the effects of different BMI categories on symptom scores while adjusting for age, sex, and MPN subtype. A U-shaped association between BMI and Total Symptom Burden was observed in both datasets with significantly higher mean scores for underweight and obese patients relative to normal weight (mean difference: underweight 5.51 (25.8%), p = 0.006; obese 5.70 (26.6%) p < 0.001). This is an important finding, as BMI is a potentially modifiable factor in the care of MPN patients.

scholarly journals Consumption Frequency of Foods Away from Home Linked with Higher Body Mass Index and Lower Fruit and Vegetable Intake among Adults: A Cross-Sectional Study

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Rebecca A. Seguin ◽  
Anju Aggarwal ◽  
Francoise Vermeylen ◽  
Adam Drewnowski
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Vegetable Intake ◽  
Cross Sectional Study ◽  
Fruit And Vegetable ◽  
Cross Sectional ◽  
Adult Men ◽  
Consumption Frequency ◽  
Eating Out ◽  
The Relationship

Introduction. Consumption of foods prepared away from home (FAFH) has grown steadily since the 1970s. We examined the relationship between FAFH and body mass index (BMI) and fruit and vegetable (FV) consumption.Methods. Frequency of FAFH, daily FV intake, height and weight, and sociodemographic data were collected using a telephone survey in 2008-2009. Participants included a representative sample of 2,001 adult men and women (mean age54±15years) residing in King County, WA, with an analytical sample of 1,570. Frequency of FAFH was categorized as 0-1, 2–4, or 5+ times per week. BMI was calculated from self-reported height and weight. We examined the relationship between FAFH with FV consumption and BMI using multivariate models.Results. Higher frequency of FAFH was associated with higher BMI, after adjusting for age, income, education, race, smoking, marital status, and physical activity (women:p=0.001; men:p=0.003). There was a negative association between frequency of FAFH and FV consumption. FAFH frequency was significantly (p<0.001) higher among males than females (43.1% versus 54.0% eating out 0-1 meal per week, resp.). Females reported eating significantly (p<0.001) more FV than males.Conclusion. Among adults, higher frequency of FAFH was related to higher BMI and less FV consumption.

scholarly journals Prevalence of Obesity and the Relationship between the Body Mass Index and Body Fat: Cross-Sectional, Population-Based Data

PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Population Based ◽  
The Body ◽  
Cross Sectional ◽  
Prevalence Of Obesity ◽  
The Relationship

scholarly journals The Association Between Body Mass Index and Pancreatic Cancer: Variation by Age at Body Mass Index Assessment

2019 ◽  
Vol 189 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Eric J Jacobs ◽  
Christina C Newton ◽  
Alpa V Patel ◽  
Victoria L Stevens ◽  
Farhad Islami ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Body Mass Index ◽  
Confidence Interval ◽  
Body Mass ◽  
Proportional Hazards ◽  
Middle Age ◽  
Epidemiologic Studies ◽  
Excess Weight ◽  
Hazard Ratios ◽  
Increased Risk

Abstract Higher body mass index (BMI; weight (kg)/height (m)2) is associated with increased risk of pancreatic cancer in epidemiologic studies. However, BMI has usually been assessed at older ages, potentially underestimating the full impact of excess weight. We examined the association between BMI and pancreatic cancer mortality among 963,317 adults who were aged 30–89 years at their enrollment in Cancer Prevention Study II in 1982. During follow-up through 2014, a total of 8,354 participants died of pancreatic cancer. Hazard ratios per 5 BMI units, calculated using proportional hazards regression, declined steadily with age at BMI assessment, from 1.25 (95% confidence interval: 1.18, 1.33) in persons aged 30–49 years at enrollment to 1.13 (95% confidence interval: 1.02, 1.26) in those aged 70–89 years at enrollment (P for trend = 0.005). On the basis of a hazard ratio of 1.25 per 5 BMI units at age 45 years, we estimated that 28% of US pancreatic cancer deaths among persons born in 1970–1974 will be attributable to BMI ≥25.0—nearly twice the equivalent proportion of those born in the 1930s, a birth cohort with much lower BMI in middle age. These results suggest that BMI before age 50 years is more strongly associated with pancreatic cancer risk than BMI at older ages, and they underscore the importance of avoiding excess weight gain before middle age for preventing this highly fatal cancer.

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