The association between BMI value and long-term mortality

Wändell, Per; Carlsson, Axel C.; Theobald, Holger

doi:10.1038/ijo.2009.36

Cited by 55 publications

(35 citation statements)

References 23 publications

(28 reference statements)

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“…BMI was calculated from weight and height measurements and expressed in kg/m 2 . Based on a mortality follow-up in this cohort, a BMI of 20−29.9 was associated with lower mortality [10], and in this study we defined individuals with a BMI lower than 30 as having a healthy BMI. Physical fitness was defined as above median VO2 max, i.e.…”

Section: Health Factorsmentioning

confidence: 99%

“…Both men and women were included. The cohort has been linked to the National Cause of Death Register in Sweden, and several long-term follow-up studies have been published recently [9][10][11]. We identified four health factors in the baseline investigation: moderate alcohol consumption, non-smoking, body mass index (BMI) and physical fitness based on an exercise test.…”

Section: Introductionmentioning

confidence: 99%

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Health factors and longevity in men and women: a 26-year follow-up study

2010

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No. of words: (main text including references) 2713Words in Abstract: 249 Tables: 3 References: 27 Abstract Health factors have the power to prevent and postpone diseases and death; however, studies using the same methodology in both men and women are sparse. We aimed to study the ability of health factors to prevent mortality in a population-based, 26-year follow-up of Swedish men and women.During 1969-70, a health-screening programme was offered to a stratified sample of 3064 individuals aged 18-64 years to estimate health-care needs. Missing data (largely according to protocol) for physical fitness, BMI, and smoking habits left 935 subjects, 463 men and 472 women. Alcohol consumption in grams per week and BMI was calculated. Tobacco smoking was recorded as yes/no. Multivariate analysis was performed by Cox regression with age adjusted hazard ratios (HR) and 95% confidence interval (CI).Moderate alcohol consumption did not lead to any decrease in mortality. Having two health factors halved the mortality risk in men and women (hazard ratio (HR) 0.52, confidence interval (CI) 0.39−0.70). A further risk reduction was seen in men with three health factors (HR 0.17,. Men had about 70 per cent higher risk of mortality compared with 2 women after adjustments for all health factors (HR 1.67, CI 1.26−2.23). Men compared to women had greater benefit of all three health factors. This in combination with the overall higher mortality risk in men makes a healthy lifestyle more important for them. The benefit of moderate alcohol consumption could not be detected in this study, and may be explained by an unhealthy drinking pattern in Sweden.

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Section: Health Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Health factors and longevity in men and women: a 26-year follow-up study

2010

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“…Obesity has many comorbidities including cardiovascular disease, hypertension, type 2 diabetes, joint disease and is associated with higher mortality [5][6][7][8] with "adverse effects of obesity on health … well established, serious, and causal" [9, p245]. There is evidence from studies in the UK [10], Australia [11] and USA [12] that obesity is associated with poorer health related quality of life (HRQoL).…”

Section: Introductionmentioning

confidence: 99%

Self-reported general health and Body Mass Index: a U-shaped relationship?

Norman

Fraser

2013

Public Health

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Objectives:A sizable literature demonstrates an increased likelihood of self-reported poor health with increasing Body Mass Index (BMI). A U-shaped relationship between BMI and health is evident in research but we do not believe the health of people who are underweight gets the attention it deserves. We investigate the relationship between BMI categories and poor general health including those persons who are underweight.Study design: Cross-sectional study Methods:Data were obtained from the Health Survey for England pooled for 2006-08 to provide a sample of 26 596 adults aged 16-74 in a series of binary logistic regression models to determine the likelihood of people reporting their general health as being poor. Results:Controlling for individual level demographic, socio-economic and health-related behaviour variables and area deprivation we find a clear U-shaped relationship between BMI and health. Conclusions:The literature largely focuses on the relationship between obesity and health and this is understandable given that many more persons are obese than are underweight. A person who is underweight is about as likely to report poor general health as a person who is obese.

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“…No other reduction was found in the other biochemical markers, so the clinical significance of the lower waist circumference is uncertain. If a reduced waist circumference and/or BMI can be shown in additional studies of TM, it would be of value as central obesity and high BMI are associated with hypertension, myocardial infarction and increased mortality [17][18][19].…”

Section: Discussionmentioning

confidence: 99%

Tactile Massage or Relaxation Exercises Do Not Improve the Metabolic Control of Type 2 Diabetics~!2009-12-22~!2010-03-25~!2010-04-28~!

Wändell¹,

Carlsson²,

Andersson³

et al. 2010

TODIAJ

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A 0.8% reduction in glycosylated hemoglobin (hemoglobin A1c) by tactile massage (TM) in patients with diabetes has been shown in a pilot study. The present study was carried out in patients with type 2 diabetes at primary healthcare centers as a parallel-arm clinical study with intention-to-treat analysis, of 10 weeks of TM once/week (n=26) or relaxation using a compact disc once/week (n=27). Anthropometrics were measured, i.e. weight, height, waist and calculation of BMI, blood samples were drawn, i.e. fP-glucose, B-HbA1c, fS-insulin, high-sensitive P-CRP, S-TNF-alpha, S-Interleukin-6, S-Adiponectin, S-Leptin and fP-Ghrelin, urine was collected for 24 hours for catecholamines and cortisol, and questionnaires including lifestyle variables were completed at baseline, after the 10-week intervention and at a followup 3 months after the intervention. There was no significant change in HbA1c in either the TM or the relaxation group. Waist circumference was reduced in both groups (p=0.01) but mostly in the TM group, with an adjusted difference between the groups of 4.0 cm (95% confidence interval 1.6-6.4 cm). The S-Adiponectin level increased significantly in the TM group (p=0.0095). TM therapy could not be recommended as a general treatment in subjects with type 2 diabetes. However, further studies in patients with high perceived level of stress and in other patient groups could be of value. The significance of the reduced waist is unclear, but could be of some importance in the long run.

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The association between BMI value and long-term mortality

Cited by 55 publications

References 23 publications

Health factors and longevity in men and women: a 26-year follow-up study

Health factors and longevity in men and women: a 26-year follow-up study

Self-reported general health and Body Mass Index: a U-shaped relationship?

Tactile Massage or Relaxation Exercises Do Not Improve the Metabolic Control of Type 2 Diabetics~!2009-12-22~!2010-03-25~!2010-04-28~!

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