Adiposity measured in mid- or late-life and estimated using anthropometric measures such as body mass index (BMI) and waist-to-hip ratio (WHR), or metabolic markers such as blood leptin and adiponectin levels, is associated with late-onset dementia risk. However, during later life, this association may reverse and aging- and dementia-related processes may differentially affect adiposity measures.
We explored associations of concurrent BMI, WHR, and blood leptin and high molecular weight adiponectin levels with dementia occurrence.
924 Swedish community-dwelling elderly without dementia, aged 70 years and older, systematically-sampled by birth day and birth year population-based in the Gothenburg city region of Sweden. The Gothenburg Birth Cohort Studies are designed for evaluating risk and protective factors for dementia. All dementias diagnosed after age 70 for 10 years were identified. Multivariable logistic regression models were used to predict dementia occurrence between 2000-2005, 2005-2010, and 2000-2010 after excluding prevalent baseline (year 2000) dementias. Baseline levels of BMI, WHR, leptin, and adiponectin were used.
BACKGROUND: We hypothesize that premenopausal endogenous estradiol may be associated with age at menarche and adult overweight and obesity, potentially contributing to breast cancer risk. METHODS: We assessed age at menarche by questionnaire among 204 healthy Norwegian women, aged 25-35 years. Measures of body composition included body mass index (BMI, kg/m(2)), waist circumference (WC, cm), waist-to-hip ratio (WHR) and fat percentage dual energy X-ray absorptiometry, (DEXA). Daily salivary 17-beta-estradiol (E(2)) concentrations were collected throughout one entire menstrual cycle and assessed by radioimmunoassay (RIA). Linear regression analyses and linear mixed models for repeated measures were used and potential confounding factors and effect modifiers were tested. RESULTS: Among women with an early age at menarche (
OBJECTIVE: To investigate the longitudinal relationship between body mass index (BMI), a major vascular risk factor, and cerebral atrophy, a marker of neurodegeneration, in a population-based sample of middle-aged women. METHODS: A representative sample of 290 women born in 1908, 1914, 1918, and 1922 was examined in 1968 to 1969, 1974 to 1975, 1980 to 1981, and 1992 to 1993 as part of the Population Study of Women in Göteborg, Sweden. At each examination, women completed a survey on a variety of health and lifestyle factors and underwent anthropometric, clinical, and neuropsychiatric assessments and blood collection. Atrophy of the temporal, frontal, occipital, and parietal lobes was measured on CT in 1992 when participants were age 70 to 84. Univariate and multivariate regression analyses were used to assess the relationship between BMI and brain measures. RESULTS: Women with atrophy of the temporal lobe were, on average, 1.1 to 1.5 kg/m2 higher in BMI at all examinations than women without temporal atrophy (p
Comment In: Neurology. 2005 Jun 14;64(11):1990-1; author reply 1990-115955971
SummaryForPatientsIn: Neurology. 2004 Nov 23;63(10):E19-2015557485
OBJECTIVE: To explore the association between abdominal obesity and insulin resistance in patients with type 2 diabetes. DESIGN: A cross-sectional observational study. SETTING: Primary care in Skara, Sweden. SUBJECTS: A total of 198 men and 186 women with type 2 diabetes who consecutively completed an annual check-up in 1992-1993. MAIN OUTCOME MEASURES: Abdominal obesity was defined according to criteria for the metabolic syndrome using the waist circumference (WC): > 102 cm for men and > 88 cm for women. Insulin resistance was estimated using the Homeostasis Model Assessment (HOMA), and was dichotomized by the 75th percentile (IR). RESULTS: Abdominal obesity was found in 66 men (33%), and in 106 women (57%). Pearson's correlation coefficients between components of the metabolic syndrome and IR were statistically significant for WC, waist-hip ratio, serum triglycerides, and HDL cholesterol, and were higher for WC (0.40) than for waist-hip ratio (0.23) in both genders (p
The question as to whether abdominal obesity has an adverse effect on hip fracture remains unanswered. The purpose of this study was to investigate the associations of waist circumference, hip circumference, waist-hip ratio, and body mass index with incident hip fracture.
The data in this prospective study is based on Cohort of Norway, a population-based cohort established during 1994-2003. Altogether 19,918 women and 23,061 men aged 60-79 years were followed for a median of 8.1 years. Height, weight, waist and hip circumference were measured at baseline using standard procedures. Information on covariates was collected by questionnaires. Hip fractures (n = 1,498 in women, n = 889 in men) were identified from electronic discharge registers from all general hospitals in Norway between 1994 and 2008.
The risk of hip fracture decreased with increasing body mass index, plateauing in obese men. However, higher waist circumference and higher waist-hip ratio were associated with an increased risk of hip fracture after adjustment for body mass index and other potential confounders. Women in the highest tertile of waist circumference had an 86% (95% CI: 51-129%) higher risk of hip fracture compared to the lowest, with a corresponding increased risk in men of 100% (95% CI 53-161%). Lower body mass index combined with abdominal obesity increased the risk of hip fracture considerably, particularly in men.
Abdominal obesity was associated with an increased risk of hip fracture when body mass index was taken into account. In view of the increasing prevalence of obesity and the number of older people suffering osteoporotic fractures in Western societies, our findings have important clinical and public health implications.
International research has demonstrated that rural residency is a risk factor for childhood adiposity. The main aim of this study was to investigate the urban-rural gradient in overweight and obesity and whether the association differed by maternal education.
Height, weight and waist circumference (WC) were measured in a nationally representative sample of 3166 Norwegian eight-year-olds in 2010. Anthropometric measures were stratified by area of residence (urbanity) and maternal education. Risk estimates for overweight (including obesity) and waist-to-height ratio =0.5 were calculated by log-binomial regression.
Mean BMI and WC and risk estimates of overweight (including obesity) and waist-to-height ratio =0.5 were associated with both urbanity and maternal education. These associations were robust after mutual adjustment for each other. Furthermore, there was an indication of interaction between urbanity and maternal education, as trends of mean BMI and WC increased from urban to rural residence among children of low-educated mothers (p?=?0.01 for both BMI and WC), whereas corresponding trends for children from higher educational background were non-significant (p?>?0.30). However, formal tests of the interaction term urbanity by maternal education were non-significant (p-value for interaction was 0.29 for BMI and 0.31 for WC).
In this nationally representative study, children living rurally and children of low-educated mothers had higher mean BMI and waist circumference than children living in more urban areas and children of higher educated mothers.
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We aimed to investigate the potential causal associations of adiposity with asthma overall, asthma by atopic status or by levels of symptom control in a large adult population and stratified by sex. We also investigated the potential for reverse causation between asthma and risk of adiposity.
We performed a bidirectional one-sample Mendelian randomisation (MR) study using the Norwegian Nord-Trøndelag Health Study population including 56 105 adults. 73 and 47 genetic variants were included as instrumental variables for body mass index (BMI) and waist-to-hip ratio (WHR), respectively. Asthma was defined as ever asthma, doctor-diagnosed asthma and doctor-diagnosed active asthma, and was further classified by atopic status or levels of symptom control. Causal OR was calculated with the Wald method.
The ORs per 1 SD (4.1 kg/m2) increase in genetically determined BMI were ranged from 1.36 to 1.49 for the three asthma definitions and similar for women and men. The corresponding ORs for non-atopic asthma (range 1.42-1.72) appeared stronger than those for the atopic asthma (range 1.18-1.26), but they were similar for controlled versus partly controlled doctor-diagnosed active asthma (1.43 vs 1.44). There was no clear association between genetically predicted WHR and asthma risk or between genetically predicted asthma and the adiposity markers.
Our MR study provided evidence of a causal association of BMI with asthma in adults, particularly with non-atopic asthma. There was no clear evidence of a causal link between WHR and asthma or of reverse causation.
BACKGROUND: Obesity is associated with heart failure (HF) incidence. We examined the strength of the association of body mass index (BMI) with HF by age and joint associations of BMI and waist circumference (WC). METHODS AND RESULTS: Women aged 48 to 83 (n=36873) and men aged 45 to 79 (n=43487) self-reported height, weight, and WC. HF hospitalization or death (n=382 women, 718 men) between January 1, 1998, and December 31, 2004, was determined through administrative registers. Hazard ratios, from Cox proportional-hazards models, for an interquartile range higher BMI were 1.39 (95% CI, 1.15 to 1.68) at age 60 and 1.13 (95% CI, 1.02 to 1.27) at 75 in women. In men, hazard ratios were 1.54 (95% CI, 1.37 to 1.73) at 60 and 1.25 (95% CI, 1.16 to 1.35) at 75. A 10-cm higher WC was associated with 15% (95% CI, 2% to 31%) and 18% (95% CI, 4% to 33%) higher HF rates among women with BMI 25 and 30 kg/m(2), respectively; hazard ratios for 1 kg/m(2) higher BMI were 1.00 (95% CI, 0.96 to 1.04) and 1.01 (95% CI, 0.98 to 1.04) for WC 70 and 100 cm, respectively. In men, a 10-cm higher WC was associated with 16% and 18% higher rates for BMI 25 and 30 kg/m(2), respectively; a 1 kg/m(2) higher BMI was associated with 4% higher HF rates regardless of WC. CONCLUSIONS: Strength of the association between BMI and HF events declined with age. In women, higher WC was associated with HF at all levels of BMI. Both BMI and WC were predictors among men.
BACKGROUND: Cross-sectional studies have reported a lower prevalence of abdominal obese persons among frequent drinkers than among nonfrequent drinkers. OBJECTIVE: We tested the hypothesis that drinking frequency is associated with subsequent changes in waist circumference. DESIGN: Data come from a prospective cohort study conducted in 1993-1997 (baseline) and 1999-2002 (follow-up) and included 43 543 men and women. Baseline information on alcohol drinking frequency was related to 1) change in waist circumference by linear regression and 2) major gain and major loss in waist circumference (defined as waist change in the lowest or highest quintile of waist changes) by polytomous logistic regression, also taking into account amount of alcohol intake. RESULTS: Drinking frequency was inversely associated with changes in waist circumference in women and was unassociated with changes in waist circumference in men. Drinking frequency was unassociated with major waist loss but was inversely associated with major waist gain: odds ratios among men were 0.97 (95% CI: 0.73, 1.28), 0.95 (95% CI: 0.81, 1.12), 0.88 (95% CI: 0.77, 0.99), 0.82 (95% CI: 0.71, -0.95), and 0.79 (95% CI: 0.69, 0.9) for never drinking, drinking on 1, 2-4, 5-6, and 7 d/wk, respectively, compared with men who drank alcohol on