Between Body Mass Index Values Research Articles

Body mass index and ghrelin levels after laparoscopic Nissen fundoplication.

The study aims to evaluate the changes between body mass index (BMI) and ghrelin levels after laparoscopic Nissen fundoplication (LNF). Twenty-four consecutive patients with gastroesophageal reflux disease who were scheduled for LNF consented to participate in the study. The participants' age, sex, preoperative (phase 0), postoperative 1st week (phase 1) and postoperative 4th week (phase 2) dysphagia scores, plasma ghrelin levels, and BMI were recorded. Compared to the preoperative level (phase 0), ghrelin was decreased in both phase 1 and phase 2. A strong correlation in the changes in the ghrelin values and BMI between phase 0 and phase 2 was detected. There was a strong, statistically significant difference in the changes in the BMI values between phase 1 and phase 2. Total plication of the fundus impairs its ghrelin-secreting functions for up to 4weeks and is accompanied by weight loss.

Associação entre IMC e teste de coordenação corporal para crianças (KTK). Uma meta-análise

O Teste de Coordenação Corporal para Crianças (Körperkoordinationstest für Kinder, KTK) tem sido utilizado na avaliação da coordenação motora de crianças e adolescentes. O objetivo desta revisão sistemática com meta-análise foi analisar a relação entre o índice de massa corporal (IMC) e o desempenho motor no KTK em crianças e jovens escolares saudáveis. O estudo baseou-se em pesquisas indexadas nas bases eletrônicas PubMed e SciELO. Os descritores foram: "Körperkoordinationstest für Kinder" e "KTK". Foram considerados artigos em inglês e português publicados até Outubro de 2014. A qualidade dos estudos foi determinada pelas Escalas PEDro e STROBE. Foi realizada meta-análise utilizando o software Comprehensive Meta-Analysis V2. Foram incluídos 10 estudos. O resultado global com base no modelo de efeitos fixos mostrou que valores maiores de IMC estão diretamente associados ao baixo desempenho no KTK. Apesar da pequena diferença entre ambos, a magnitude do efeito da associação foi classificada como pequena, porém, significativa para o sexo masculino (r=0,29; IC95% 0,27 a 0,32; Z=22,47; p=0,000) e moderada para o sexo feminino (r=0,32; IC95% 0,30 a 0,34; Z=24,76; p=0,000). Os estudos apresentaram características amostrais bastante divergentes quanto ao tamanho da amostra e a faixa etária dos sujeitos, além de nenhum deles ter analisado o estado maturacional dos participantes. Conclui-se que há uma tendência de relação positiva entre valores elevados de IMC e o baixo desempenho no KTK. Para confirmação desta tendência, recomenda-se que os próximos trabalhos considerem o estado maturacional dos participantes, além de possibilitarem uma análise por sexo e idade.

Body Mass Index and Heart Failure Among Patients With Type 2 Diabetes Mellitus

Background— Epidemiological data on the association between body mass index (BMI) and heart failure (HF) risk among diabetic patients are rare. Methods and Results— We performed a prospective cohort study of risk for HF among 31 155 patients with type 2 diabetes mellitus (11 468 men and 19 687 women). Cox proportional hazards regression models were used to estimate the association of different levels of BMI with HF risk. During a mean follow-up of 7.8 years, 5834 subjects developed HF (2379 men and 3455 women). The multivariable-adjusted (age, race, smoking, income, and type of insurance) hazard ratios of HF associated with BMI levels (18.5–22.9, 23–24.9, 25–29.9 [reference group], 30–34.9, 35–39.9, and ≥40 kg/m 2 ) at baseline were 0.95, 1.00, 1.00, 1.16, 1.64, and 2.02 ( P trend <0.001) for men and 1.16, 1.16, 1.00, 1.23, 1.55, and 2.01 ( P nonlinear <0.001) for women, respectively. When we used an updated mean value of BMI, the association of HF risk with BMI did not change. When stratified by age, race, smoking status, and use of antidiabetic drugs, the positive associations among men and the J-shaped associations among women were still present. Conclusions— Our study suggests a positive association between BMI and HF risk among men and a J-shaped association between BMI and HF risk among women with type 2 diabetes mellitus.

Abstract P253: Body Mass Index and Heart Failure among Patients with Type 2 Diabetes

Background: Epidemiologic data on the association between body mass index (BMI) and heart failure (HF) risk among diabetic patients is rare. Aim: To investigate the association between BMI and HF risk among patients with type 2 diabetic in the Louisiana State University Hospital-based Longitudinal study (LSUHLS). Methods: We performed a prospective cohort study of risk for HF among 31,155 patients of type 2 diabetes (11,468 men and 19,687 women). Cox proportional hazards regression models were used to estimate the association of different levels of BMI with HF risk. Results: During a mean follow-up of 7.8 years, 5,834 subjects developed HF (2,379 men and 3,455 women). The multivariable-adjusted (age, race, smoking, income and type of insurance) hazard ratios of HF associated with BMI levels (18.5-22.9, 23-24.9, 25-29.9 [reference group], 30-34.9, 35-39.9, and ≥40 kg/m2) at baseline were 0.95, 1.00, 1.00, 1.16, 1.64, and 2.02 (Ptrend <0.001) for men, and 1.16, 1.16, 1.00, 1.23, 1.55, and 2.01 (Pnon-linear <0.001) for women, respectively. When we used an updated mean value of BMI, the association of HF risk with BMI did not change. When stratified by age, race, smoking status and use of anti-diabetic drugs, the positive association among men and the J-shaped association among women were still present. Conclusions: Our study suggests a positive association between BMI and HF risk among men, and a J-shaped association between BMI and HF risk among women with type 2 diabetes.

Does the Obesity Survival Paradox of Dialysis Patients Differ with Age?

Background: The obesity paradox of hemodialysis patients (the association between obesity and survival) could be modified by age. We hypothesize that whereas obesity associates with survival in elderly patients, it behaves as a mortality risk marker in younger individuals. Methods: Retrospective study of 2002-2010 adult incident hemodialysis to analyze the relationship between body mass index (BMI) and annual body weight changes with mortality in different age strata. Results: Included in the study were 6,290 individuals. A progressive decrease in mortality was associated with increasing BMI ranges. Both annual body weight gains and losses were associated with mortality. Similar results were observed in elderly individuals, but in the BMI values of young patients, there were no significant differences in mortality. Conclusion: There is a survival benefit with increasing BMI in patients overall. However, while these results persist in patients >65 years, in young people there are no changes in mortality. Patients with the highest inter-annual variability in weight have an increased risk.

Relationship between serum cholesterol and body mass index in Nigeria schoolchildren aged 2-15 years.

Non-communicable disease is becoming a public health problem that it is already present in more affluent countries. The aim of this study was to determine the relationship between body mass index (BMI) and total serum cholesterol with its lipoprotein fractions in children aged 2-15 years. Serum cholesterol was estimated using the enzymatic spectrophotometer cholesterol oxidase/peroxidase method. BMI was calculated as weight (kg)/height (m(2)). Total cholesterol and low-density lipoprotein were positively co-related with BMI (p < 0.05). Using linear regression, equations that can be used to predict serum total cholesterol from known BMI values were developed. There is a positive correlation between BMI and serum cholesterol. BMI which is non-invasive is recommended as a screening tool for cardiovascular risk in settings where serum cholesterol cannot be routinely estimated.

Body mass index, Mini Nutritional Assessment, and their association with five-year mortality in very old people.

to investigate the prevalence of malnutrition and the association between Body Mass Index (BMI), Mini Nutritional Assessment (MNA) and five-year mortality in a representative population of very old (>85 years) people. A prospective cohort study. A population-based study of very old people in northern Sweden and western Finland, living in institutional care or in the community. Out of 1195 potential participants, 832 were included (mean age 90.2±4.6 years). Nutritional status was assessed using BMI and MNA and the association of those two variables with five-year mortality was analyzed. The mean BMI value for the whole population was 25.1±4.5 kg/m2, with no difference between genders (P=0.938). The mean MNA score was 22.5±4.6 for the whole sample, and it was lower for women than for men (P<0.001). Thirteen percent were malnourished (MNA<17) and 40.3% at risk of malnutrition (MNA 17-23.5) according to MNA. Also, 34.8% of those with a MNA score <17 still had a BMI value ≥22.2 kg/m2. A BMI value <22.2 kg/m2 and a MNA score<17 were associated with lower survival. The association with mortality seemed to be J-shaped for BMI, and linear for MNA. Malnutrition according to MNA was common, but a substantial portion of those with a low MNA score still had a high BMI value, and vice versa. The association with mortality appeared to be J-shaped for BMI, and linear for MNA. The MNA seems to be a good measurement of malnutrition in very old people, and BMI might be misleading and could underestimate the prevalence of malnutrition, especially in women.

Circulation : Clinical Summaries

<i>Circulation</i> : Clinical Summaries

Association of body mass index and male primary osteoporosis

To explore the association between body mass index (BMI) and male primary osteoporosis (OP) in a Chinese Han population. The association of BMI with OP was assessed in 276 Chinese healthy aged males for physical examination. They were classified into OP, osteopenia and normal groups according to the World Health Organization (WHO) criteria, i.e. OP was defined arbitrarily when any T-score was -2.5 standard deviations or less at femoral neck, total hip or lumbar spine (L1-4) site. We also classified the subjects as different BMI groups of low weight, normal weight, overweight and obesity. The prevalence of OP was compared among different BMI groups. We determined the sensitivity, specificity and area under the curve of receiver operating characteristic (ROC) for validating the valuation of BMI to predict male primary OP. Among them, 6/12 had OP in the low weight group, 17.36% (21/121) in the normal group and 12.59% (18/143) in the overweight and obesity group. And the difference was significant. The analysis of ROC curve showed that BMI was of limited value in predicting OP (P > 0.05). BMI has a positive correlation with male OP. The value of BMI is limited for predicting OP in males. And the relevant factors associated with male OP should to be further studied.

Examination of the relation between body mass index, functional level and health-related quality of life in children with cerebral palsy.

The aim of this study was to examine the relation between body mass index (BMI) and functional level and health-related quality of life in children with cerebral palsy (CP). Two hundred seventy-eight children with CP aged between 2 and 18 years were included in the study. The sociodemographic properties of the children were recorded. Their functional independence levels were assessed with WeeFIM and their health-related quality of life levels were assessed with the Child Health Questionnaire-Parent Form (PF-50). Approval was obtained from the ethics committee of Abant İzzet Baysal University Medical Faculty for this study (Number: 2008/100-77). When classified by body mass index, 26.3% of the children had a normal body weight, 5.4% were overweight, 11.5% were obese and 56.8% had a low body weight. The rate of low body weight was higher in children with moderate and severe CP (52.7% and 53.8%, respectively), while the rate of obesity was higher in children with mild CP who could walk (7.1%). A significant difference was found in children with CP with a normal body weight, overweight children with CP, obese children with CP and children with CP with a low body weight in terms of the total WeeFIM score and the variables of quality of life including physical functionality and role/social limitations because of physical health (p<0.05). In the correlation analysis, a positive correlation was found between WeeFIM and BMI and the subdimensions of role/social limitations because of emotional or behavioral difficulties, pain and discomfort and self-esteem (p<0.05). Our results showed that BMI affected functional independence and health-related quality of life in children with CP and this was more prominent in children who had severe CP and low BMI values. More studies are needed in this area.

Body mass index and its impact on migraine prevalence and severity in female patients: Preliminary results

Background and purposeA strikingly increasing number of obese patients causes a great interest in potential medical problems resulting from abnormal body weight. Many conditions are associated with obesity. The severity and risk of migraine may be connected with a body weight. We would like to assess a correlation between body mass index (BMI) and frequency and duration of migraine. Materials and methodsWe collected data of 53 female patients with migraine and 36 healthy persons (25 women) as a control group. Mean duration of migraine attacks and their mean frequency were based on patients’ diaries. The patients reported their height. Weight was measured by the authors. We consequently calculated BMI and performed statistics on SAS 9.2. ResultsThe mean BMI of the migraine group was 24.27±4.47. Forty-nine percent of patients had normal BMI (18.5–25), 30% patients were overweight (>25) and 13% were obese (>30). The mean BMI among controls was 22.69±2.96. Eighty-four percent of the control group had normal BMI, 12% was overweight and 5% was obese. An association of BMI in women with frequency of migraine episodes per month occurred remarkable when adjusted for age. Difference of a mean BMI value between the migraine and the control group was nearly statistically significant. Body mass index and duration of the episodes revealed similarly strong correlation. ConclusionsIncreased BMI correlates with frequency of migraine. Its influence on a risk of the headaches and their duration remains to be specified.

Abstract 06: Body Mass Index And The Risk Of All-cause Mortality Among Patients With Type 2 Diabetes

Background: Several prospective studies have evaluated the association between body mass index (BMI) and the risk of all-cause mortality among diabetic patients; however, the results are controversial. Aim: To investigate the association of BMI levels with all-cause mortality among patients with type 2 diabetes in the Louisiana State University Hospital-based Longitudinal study (LSUHLS). Methods: We performed a prospective cohort study (2000-2009) of diabetic patients including 19,785 African Americans and 15,534 whites. Cox proportional hazards regression models were used to estimate the association of BMI levels at baseline, during follow-up and at last visit with the risk of all-cause mortality. Results: During a mean follow up of 8.7 years, 4,206 deaths were identified. The multivariable-adjusted (age, sex, smoking, income and type of insurance) hazard ratios (HRs) of all-cause mortality associated with BMI levels (&lt;23, 23-24.9, 25-29.9, 30-34.9 [reference group], 35-39.9, and ≥40 kg/m 2 ) at baseline were 2.53 (95% confidence interval [CI] 2.18-2.93), 1.76 (1.48-2.09), 1.23 (1.08-1.40), 1.00, 1.19 (1.02-1.38), and 1.22 (1.05-1.41) for African Americans, and 1.92 (1.63-2.27), 1.53 (1.28-1.82), 1.07 (0.95-1.21), 1.00, 1.07 (0.93-1.23), and 1.21 (1.06-1.39) for whites, respectively. When stratified by age, gender, smoking status or use of anti-diabetic drugs, a U-shaped association was still present. When we used an updated mean or last visit value of BMI, the U-shaped association of BMI with all-cause mortality risk did not change. Conclusions: The current study indicated a U-shaped association of BMI with all-cause mortality risk among African American and white patients with type 2 diabetes. A significantly increased risk of all-cause mortality was observed among African Americans with BMI&lt;30 kg/m 2 and BMI ≥35 kg/m 2 , and among whites with BMI&lt;25 kg/m 2 and BMI ≥40 kg/m 2 compared with patients with BMI 30-34.9 kg/m 2 .

Body mass index and fat free mass index in obstructive lung disease in Korea

To investigate the relationship between body mass index (BMI), fat free mass index (FFMI) and obstructive lung disease in Korea. Based on a large population-based, nationwide survey conducted in Korea, 822 subjects with airway obstruction and the same number of healthy control subjects were selected. Spirometry and dual-energy X-ray absorptiometry were used for analysis. Subjects with airway obstruction had a lower mean BMI and FFMI than the control group (23.6 vs. 23.9 kg/m(2) for BMI, P = 0.015 and 17.2 vs. 17.5 kg/m(2) for FFMI, P = 0.013); the BMI (P < 0.001) and FFMI (P < 0.001) values decreased significantly in subjects with severe airway obstruction. The proportion of subjects who were underweight or who had a low FFMI was significantly higher in the severe airway obstruction group (P < 0.001). The decrease in FFMI was more prominent in the lower extremities, followed by the upper extremities and the trunk. Subjects who were underweight had significantly lower one-second forced expiratory volume (FEV1; P = 0.001) and FEV1/forced vital capacity values (P < 0.001). We suggest that lower BMI and FFMI are associated with degree of airway obstruction and that the assessment of BMI and body composition is necessary in patients with severe airway obstruction.

Mean platelet volume is influenced by many inflammatory and cardiovascular disorders and cardiovascular risk factors

Dear Editor: As MPV values are affected by cardiovascular diseases, cerebrovascular diseases, and hypertension, patients with these disorders were excluded from the study. The MPV values may be affected by smoking, obesity, prediabetes, diabetes mellitus, hyperlipidemia, metabolic syndrome, and cardiovascular risk factors [1]. However, Kutlucan et al. failed to identify an association between body mass index (BMI) and MPV in their study of 2,298 patients [2]. Therefore, we didn’t take BMI values into account during our study. In our study, smoking wasn’t mentioned, as there was no significant relationship among the groups regarding smoking. Also, lipid profile was not included in the assessments. Blood glucose levels affect MPV values; however, our study HbA1c levels weren’t mentioned as there was no significant difference in the groups’ HbA1c levels in our study. The mean platelet volume (MPV) values from the routine blood count were used in our manuscript. The reason this was not mentioned in our paper is that the MPV value measurement was performed during the standard blood count. In our study, the blood samples were placed into dipotassium ethylenediaminetetraacetic acid (EDTA) tubes. The complete blood count was performed using an automated hematology analyzer (CELL-DYN 3700, Abbott Diagnostics, Abbott Park, IL, USA). As mentioned by Varol et al., platelets swell after the blood samples are placed into EDTA tubes, causing increased MPV values [3]. Therefore, the blood samples are evaluated within 60 min of the blood sampling. All the cases’ blood samples were evaluated in the laboratory of our hospital.

Body mass index modulates blood pressure heritability: the Family Blood Pressure Program.

Candidate gene and twin studies suggest that interactions between body mass index (BMI) and genes contribute to the variability of blood pressure (BP). To determine whether there is evidence for gene-BMI interactions, we investigated the modulation of BP heritability by BMI using 4,153 blacks, 1,538 Asians, 4,013 whites, and 2,199 Hispanic Americans from the Family Blood Pressure Program. To capture the BP heritability dependence on BMI, we employed a generalized variance components model incorporating linear and Gaussian interactions between BMI and the genetic component. Within each race and network subgroup, we used the Akaike information criterion and likelihood ratio test to select the appropriate interaction function for each BP trait (systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP)) and determine interaction significance, respectively. BP heritabilities were significantly modified by BMI in the GenNet and SAPPHIRe Networks, which contained the youngest and least-obese participants, respectively. GenNet Whites had unimodal SBP, MAP, and PP heritabilities that peaked between BMI values of 33 and 37kg/m(2). The SBP and MAP heritabilities in GenNet Hispanic Americans, as well as the PP heritability in GenNet blacks, were increasing functions of BMI. The DBP and SBP heritabilities in the SAPPHIRe Chinese and Japanese, respectively, were decreasing functions of BMI. BP heritability differed by BMI in the youngest and least-obese networks, although the shape of this dependence differed by race. Use of nonlinear gene-BMI interactions may enhance BP gene discovery efforts in individuals of European ancestry.

Relationship between Body mass index (BMI) and body fat percentage, estimated by bioelectrical impedance, in a group of Sri Lankan adults: a cross sectional study

BackgroundBody Mass Index (BMI) is used as a useful population-level measure of overweight and obesity. It is used as the same for both sexes and for all ages of adults. The relationship between BMI and body fat percentage (BF %) has been studied in various ethnic groups to estimate the capacity of BMI to predict adiposity. We aimed to study the BMI–BF% relationship, in a group of South Asian adults who have a different body composition compared to presently studied ethnic groups. We examined the influence of age, gender in this relationship and assessed its’ linearity or curvilinearity.MethodsA cross sectional study was conducted, where adults of 18–83 years were grouped into young (18–39 years) middle aged (40–59 years) and elderly (>60 years). BF% was estimated from bioelectrical impedance analysis. Pearsons’ correlation coefficient(r) was calculated to see the relationship between BMI-BF% in the different age groups. Multiple regression analysis was performed to determine the effect of age and gender in the relationship and polynomial regression was carried out to see its’ linearity. The relationships between age-BMI, age-BF % were separately assessed.ResultsOut of 1114 participants, 49.1% were males. The study sample represented a wide range of BMI values (14.8-41.1 kg/m2,Mean 23.8 ± 4.2 kg/m2). A significant positive correlation was observed between BMI-BF%, in males (r =0.75, p < 0.01; SEE = 4.17) and in females (r = 0.82, p < 0.01; SEE = 3.54) of all ages. Effect of age and gender in the BMI-BF% relationship was significant (p < 0.001); with more effect from gender. Regression line found to be curvilinear in nature at higher BMI values where females (p < 0.000) having a better fit of the curve compared to males (p < 0.05). In both genders, with increase of age, BMI seemed to increase in curvilinear fashion, whereas BF% increased in a linear fashion.ConclusionsBMI strongly correlate with BF % estimated by bioelectrical impedance, in this sub population of South Asian adults. This relationship was curvilinear in nature and was significantly influenced by age and gender. Our findings support the importance of taking age and gender in to consideration when using BMI to predict body fat percentage/obesity, in a population.

Examination of the relationship between body mass index (BMI) and functional independence level in children with spina bifida

Objective: The aim of this study is to examine the relationship between body mass index (BMI) and functional independence level in children with spina bifida (SB).Methods: The study included 116 children between 5 and 18 years. Subjects’ socio-demographic characteristics, BMI values and functional independence levels were recorded.Results: There was negative correlation between BMI and communication and social cognition in girls (p < 0.05). No correlation was found between BMI and WeeFIM in boys (p > 0.05).Conclusion: The results indicated that body weight in children with SB affected functional independency and that precautions to control weight important in these children.

Body mass index and brain structure in healthy children and adolescents

Obesity is associated with cognitive dysfunction in children and adolescents, although the mechanisms underlying these deficits remain unclear. This study examined the associations between body mass index (BMI) and regional gray matter volume and white matter integrity in 120 healthy children and adolescents (6–18 years of age) who underwent magnetic resonance and diffusion tensor imaging. Bonferroni-corrected partial correlation analyses controlling for demographic and clinical characteristics revealed significant inverse associations between demographically standardized BMI values and gray matter volume of frontal (r = −0.31) and limbic (r = −0.35) brain regions. No such pattern emerged for fractional anisotropy of white matter tracts. Subsequent hierarchical regression analyses indicated that the relationship between standardized BMI and structural gray and white matter brain indices did not vary with age. These findings suggest that obesity in children and adolescents is associated with decreased volume of frontal and limbic cerebral gray matter regions. Further research is much needed to better elucidate possible brain-based mechanisms for cognitive dysfunction associated with obesity.

Correlation between body mass index and waist circumference in nigerian adults: implication as indicators of health status.

BackgroundAnthropometric measures have been widely used for body weight classification in humans. Waist circumference has been advanced as a useful parameter for measuring adiposity. This study evaluated the correlation between body mass index (BMI) and waist circumference and examined their significance as indicators of health status in adults.Design and methodsThe subject included 489 healthy adults from Ota, Nigeria, aged between 20 and 75 years, grouped into early adulthood (20-39 years), middle adulthood (40-59 years) and advanced adulthood (60 years and above). Weight, height and abdominal circumference were measured. BMI was calculated as weight kg/height2 (m2) and World Health Organization cut-offs were used to categorize them into normal, underweight, overweight and obese.ResultsAbnormal weight categories accounted for 60 % of the subjects (underweight 11 %, overweight 31%, and obese 18%). The waist circumference of overweight and obese categories were significantly (P<0.05) higher than the normal weight category. There was no significant difference between waist circumference of underweight and normal subjects. The correlation coefficient values of BMI with waist circumference (r=0.63), body weight (r=0.76) and height (r=-0.31) were significant (P<0.01) for the total subjects.ConclusionsThe study indicates that waist circumference can serve as a positive indicator of overweight and obesity in the selected communities; however, it may not be used to determine underweight in adults. Regular BMI and waist circumference screening is recommended as an easy and effective means of assessing body weight and in the prevention of weight related diseases in adults.Significance for public healthThis manuscript describes the correlation between body mass index, waist circumference and body weight of two communities in Ota, Ogun State, Nigeria and the use of these anthropometric measures for body weight classification in human populations of the selected communities. This was carried out to evaluate the health status of the indigenes of the two communities for proper health awareness and public health intervention programmes.

Body mass index and disease-specific mortality in an 80-year-old population at the 12-year follow-up

Although many investigations examined the relationship between body mass index (BMI) and mortality, little is known about the possible associations between BMI and disease-specific mortality in very elderly people. Here we evaluated this association in an 80-year-old population. In 1998, 675 residents in Japan's Fukuoka Prefecture participated. They were followed up for 12 years after the baseline examination; 37 subjects (5.5%) were lost to follow-up. The subjects were divided into six groups by their BMI values: <19.5 (most-thin), 19.5 to <21.1 (relatively thin), 21.1 to <22.5 (thin/normal), 22.5 to <23.8 (normal/overweight), 23.8 to <26.0 (relatively obese), ≥26.0 (most-obese). The most-thin group had the highest mortality from all-causes, and from respiratory disease. The normal/overweight group had the lowest overall mortality among the six BMI groups. These associations were found in the men, but not in the women. The most-obese group did not have higher mortality from all-causes or cardiovascular disease compared to the normal/overweight group. Respiratory disease-related mortality was lowest in the most-obese group. No association was found between BMI group and mortality from cancer. In conclusion, in an 80-year-old Japanese population, mortality from all-causes or respiratory disease was highest in the most-lean group (BMI <19.5), and mortality from all-causes or cardiovascular disease was lowest in the group with BMI 22.5 to <23.8.