Relationships between self-reported asthma and pulmonary function and various measures of obesity

Objective: We explore the association with self-reported asthma and pulmonary function based on spirometry measurements using different measures to determine obesity because body mass index (BMI) is limited in not differentiating fat and muscle mass. Methods: A multi-year cross-sectional study using Korean National Health and Nutrition Examination Survey data was conducted between July 2008 and May 2011. A total of 9409 subjects were included in the final analysis. Results: Obesity was associated with self-reported asthma and pulmonary function limitations mainly in adult women aged between 40 and 65 years and elderly men aged 65 or older. The association was stronger when the measurement of obesity was based on body fat percentage or waist-to-height ratio (WHtR), compared to BMI. There was a higher self-reported asthma risk among obese women according to the WHtR [odds ratio (OR) = 1.817, 95% CI: (1.208, 2.735)]. There was an increased risk of pulmonary function limitation with abdominal obesity [OR 1.418, 95% CI (1.020, 1.972)], weight-to-height ratio [OR 1.467, 95% CI (1.058, 2.034)], and obesity with regard to body fat percentage [OR 1.753, 95% CI (1.251, 2.457)] in adult women. In elderly men, obesity based on body fat percentage was associated with an increased risk of pulmonary function limitation [OR 1.93, 95% CI (1.098, 3.388)]. Conclusions: Measures other than BMI should be examined when investigating the effect of obesity on self-reported asthma and pulmonary function limitation.     

Health correlates of overweight and obesity in adults aged 50 years and over: results from the Survey of Health, Ageing and Retirement in Europe (SHARE). Obesity and health in Europeans aged > or = 50 years

QUESTIONS UNDER STUDY: To examine the association between overweight/obesity and several self-reported chronic diseases, symptoms and disability measures. METHODS: Data from eleven European countries participating in the Survey of Health, Ageing and Retirement in Europe were used. 18,584 non-institutionalised individuals aged 50 years and over with BMI > or = 18.5 (kg/m2) were included. BMI was categorized into normal weight (BMI 18.5-24.9), overweight (BMI 25.0-29.9) and obesity (BMI > or = 30). Dependent variables were 13 diagnosed chronic conditions, 11 health complaints, subjective health and physical disability measures. For both genders, multiple logistic regressions were performed adjusting for age, socioeconomic status and behaviour risks. RESULTS: The odds ratios for high blood pressure, high cholesterol, diabetes, arthritis, joint pain and swollen legs were significantly increased for overweight and obese adults. Compared to normal-weight individuals, the odds ratio (OR) for reporting > or = 2 chronic diseases was 2.4 (95% CI 1.9-2.9) for obese men and 2.7 (95% CI 2.2-3.1) for obese women. Overweight and obese women were more likely to report health symptoms. Obesity in men (OR 0.5, 95% CI 0.4-0.6), and overweight (OR 0.5, 95% CI 0.4-0.6) and obesity (OR 0.4, 95% CI 0.3-0.5) in women, were associated with poorer subjective health (i.e. a decreased risk of reporting excellent, very good or good subjective health). Disability outcomes were those showing the greatest differences in strength of association across BMI categories, and between genders. For example, the OR for any difficulty in walking 100 metres was non-significant at 0.8 for overweight men, at 1.9 (95% CI 1.3-2.7) for obese men, at 1.4 (95% CI 1.1-1.8) for overweight women, and at 3.5 (95% CI 2.6-4.7) for obese women. CONCLUSIONS: These results highlight the impact of increased BMI on morbidity and disability. Healthcare stakeholders of the participating countries should be aware of the substantial burden that obesity places on the general health and autonomy of adults aged over 50.     

Body mass index and physical activity in relation to asthma and atopic diseases in young adults

BACKGROUND: Obesity has been shown to increase the risk of asthma and wheezing. Conditioning exercise might decrease the asthma risk, and that could partly explain the association. The relation between obesity and allergic diseases is quite conflicting. METHODS: The association between body mass index (BMI) and physician-diagnosed asthma, allergic rhinitis or conjunctivitis, atopic dermatitis, and self-reported wheezing was investigated in a questionnaire study among 10,667 Finnish first-year university students aged 18-25 years. Logistic regression was used to evaluate possible confounding by parental education, passive smoking at age 0-2, childhood residential environment, current and past smoking and leisure time physical activity index. RESULTS: In men, there was a greater risk of asthma, but not wheezing with increasing BMI. Compared to those with BMI below 20, OR for male asthma was 1.98 (95% CI 1.11-3.52) in BMI category 20.0-22.4, 1.90 (95% CI 1.05-3.41) in BMI 22.5-24.9, and 3.5 (95% CI 1.63-7.64) in BMI > or = 27.5. Among women, the risks of asthma and wheezing were about two-fold among the overweight-obese subjects. Moderate leisure time physical activity was associated with lower risk of asthma in men (OR 0.62, 95% CI 0.62 (0.42-0.92), but not among women. The risk of allergic rhinoconjunctivitis and atopic dermatitis increased quite linearly with BMI among women but not men. CONCLUSIONS: Low leisure time physical activity seems not to explain the greater risk of asthma among obese men and women. The quite linear association between BMI and both allergic rhinoconjunctivitis and wheezing among women suggests the independent effect of body fat on atopic diseases.     

Obesity and depression: results from the longitudinal Northern Finland 1966 Birth Cohort Study

OBJECTIVE: To examine the association between body size and depression in a longitudinal setting and to explore the connection between obesity and depression in young adults at the age of 31 years. DESIGN: This study forms part of the longitudinal Northern Finland 1966 Birth Cohort Study (N = 12,058). The follow-up studies were performed at 14 and 31 years. Data were collected by postal inquiry at 14 years and by postal inquiry and clinical examination at 31 years. SUBJECTS: A total of 8,451 subjects (4,029 men and 4,422 women) who gave a written informed consent and information on depression by three depression indicators at 31 years. MEASUREMENTS: Body size at 14 (body mass index (BMI) and 31 (BMI and waist-to-hip ratio (WHR)) years and depression at 31 years by three different ways: depressive symptoms by the HSCL-25-depression questionnaire (HSCL-25), the use of antidepressants and self-reported physician-diagnosed depression. RESULTS: Obesity at 14 years associated with depressive symptoms at 31 years; among male subjects using the cutoff point 2.01 in the HSCL-25 (adjusted odds ratio (OR) 1.97, 95% CI 1.06-3.68), among female subjects using the cutoff point 1.75 (adjusted OR 1.64, 95% CI 1.16-2.32). Female subjects who were obese both at baseline and follow-up had depressive symptoms relatively commonly (adjusted OR 1.40, 95% CI 1.06-1.85 at cutoff point 1.75); a similar association was not found among male subjects. The proportion of those who used antidepressants was 2.17-fold higher among female subjects who had gained weight compared to female subjects who had stayed normal-weighted (adjusted OR 2.17, 95% CI 1.28-3.68). In the cross-sectional analyses male subjects with abdominal obesity (WHR >or=85th percentile) had a 1.76-fold risk of depressive symptoms using the cutoff 2.01 in the HSCL-25 (adjusted OR 1.76, 95% CI 1.08-2.88). Abdominally obese male subjects had a 2.07-fold risk for physician-diagnosed depression (adjusted OR 2.07, 95% CI 1.23-3.47) and the proportion of those who used antidepressants was 2.63-fold higher among obese male subjects than among male subjects without abdominal obesity (adjusted OR 2.63, 95% CI 1.33-5.21). Abdominal obesity did not associate with depression in female subjects. CONCLUSION: Obesity in adolescence may be associated with later depression in young adulthood, abdominal obesity among male subjects may be closely related to concomitant depression, and being overweight/obese both in adolescence and adulthood may be a risk for depression among female subjects.     

Body mass index and the risk of asthma in adults

Asthma and obesity are both chronic conditions and their prevalences have risen in affluent societies. A positive association between asthma and being overweight or obese has been reported in children and women, but associations in men are less clearly described. The objective of this study was to explore the association between body mass index (BMI) and asthma in men and women of diverse ethnic and socioeconomic background living in New York State, USA. In this study, we analyzed cross-sectional data on 5524 subjects aged 18 years and older who were interviewed by telephone in the 1996 and 1997 New York State Behavioral Risk Factor Surveillance System. Asthma (doctor-diagnosed), and weight and height were self-reported. BMI (kg/m2) was used as a measure of adiposity. Weighted logistic regression analysis, with stratification by gender and age, was used to examine the relationship between asthma prevalence and BMI, adjusting for race/ethnicity, education, health insurance, time since last physical examination, physical activity and smoking status. The results showed that the prevalence of asthma was 4.6% (CI: 3.6-5.5%) among men and 8.1% (CI: 7.1-9.1%) among women. In women, the prevalence of asthma was significantly increased in those with a BMI 25 kg/m2 or higher (BMI 25-27.5: OR = 1.76, 95% CI: 1.06-2.94; BMI 27.5-29.9: OR = 2.45, 95% CI: 1.41-4.25; BMI > or = 30: OR = 2.67, 95% CI: 1.66-4.29) when compared to the reference category (BMI: 22-24.9 kg/m2). In men, the prevalence of asthma was increased in the lowest weight category, BMI < 22 kg/m2 (OR = 3.05, 95% CI: 1.37-6.78) and in the highest category, BMI > or = 30 kg/m2 (OR = 2.92, 95% CI: 1.39-6.14). This U-shaped association persisted when restricting the analysis to men who had never smoked and was more pronounced for those between 18 and 49 years of age. In conclusion, this cross-sectional study showed that men and women differ significantly in the association between BMI and asthma prevalence only with respect to the lowest weight category. While women had a monotonic association, men showed a U-shaped relationship, indicating that both extremes of weight are associated with a higher prevalence of asthma.     

Metabolic factors associated with benign prostatic hyperplasia

CONTEXt: Benign prostatic hyperplasia poses a significant public health problem, but its etiology remains unclear. Obesity and associated abnormalities in glucose homeostasis may play a role in benign prostatic hyperplasia development by influencing prostate growth. OBJECTIVE: The objective of this study was to determine whether obesity, fasting plasma glucose concentration, and diabetes are associated with radiologically determined prostate enlargement, an objective measure of benign prostatic hyperplasia. DESIGN: This study was a cross-sectional analysis with robust variance estimates to account for multiple measures over time in the same individuals. SETTING: This prospective cohort study was composed of community volunteers. PATIENTS: Patients studied were 422 adult men enrolled in The Baltimore Longitudinal Study of Aging. MAIN OUTCOME MEASUREMENTS: Total prostate volume as determined by pelvic magnetic resonance imaging was measured. RESULTS: Among 422 participants, 91 (21.6%) had prostate enlargement (defined as total prostate volume >/= 40 cc) at first visit. Compared with men of normal weight [body mass index (BMI) < 25 kg/m(2)], the age-adjusted odds ratio (OR) for prostate enlargement for overweight men (BMI, 25-29.9 kg/m(2)) was 1.41 (95% CI, 0.84-2.37), for obese men (BMI, 30-34 kg/m(2)) was 1.27 (95% CI, 0.68-2.39), and for severely obese men (BMI >/= 35 kg/m(2)) was 3.52 (95% CI, 1.45-8.56) (P = 0.01). Men with elevated fasting glucose (>110 mg/dl) were more likely to have an enlarged prostate than men with normal fasting glucose (相似文献   

Obesity and colorectal cancer risk： A meta-analysis of cohort studies

TO evaluate the association between obesity and colorectal cancer risk. METHODS： We searched PubMed, EMBASE, and the Cochrane Library up to January 1, 2007. Cohort studies permitting the assessment of causal association between obesity and colorectal cancer, with clear definition of obesity and well-defined outcome of colorectal cancer were eligible. Study design, sample size at baseline, mean follow-up time, co-activators and study results were extracted. Pooled standardized effect sizes were calculated.     

Prevalence and characteristics of urinary incontinence in community-dwelling-elderly as determined by comprehensive health examination and interview for the prevention of geriatric syndrome and bed-ridden state

AIM: We examined the prevalence and characteristics of urinary incontinence in community-dwelling elderly individuals. METHODS: The participants were 1,783 individuals (768 men and 1,015 women) aged over 70 years who participated in a comprehensive health examination involving a medical examination and interview, plus physical performance tests. Differences in characteristics between individuals with and without urinary incontinence were examined, and multivariate logistic regression models were used to describe the characteristics associated with urinary incontinence. RESULTS: The prevalence of urinary incontinence was 13.4% in men and 23.3% in women. Urinary incontinence was significantly associated with a lower level of physical fitness. Multivariate logistic regression showed that urinary incontinence was significantly associated with a slower walking speed (Odds Ratio (OR) = 0.19, 95% Confidence Intervals (CI) 0.08-0.48) and lower serum albumin level (OR = 0.40, 95% CI 0.16-0.99) in men, and with a slower walking speed (OR = 0.29, 95% CI 0.15-0.56), a higher BMI (OR = 1.09, 95% CI 1.04-1.14), depression (OR = 3.06, 95% CI 1.40-6.69), and lack of physical activity (OR = 0.70, 95% CI 0.50-0.98) in women. CONCLUSION: The characteristics of urinary incontinence in this cohort of community-dwelling elderly individuals were a low level of physical fitness and poor nutritional state in men, and a low level of physical fitness, a tendency to be obese, a poor mental health state, and lack of physical activity in women.     

Body mass index, physical activity and erectile dysfunction: an U-shaped relationship from population-based study

OBJECTIVE: To investigate the relationships between body mass index (BMI), physical activity and erectile dysfunction (ED). DESIGN AND SUBJECTS: A population representative cross-sectional analytic study of ED in Hong Kong, with two-stage stratified random sampling, and face-to-face interviews conducted by trained interviewers with structured questionnaires. Study subjects were 1506 men aged 26-70. RESULTS: Age (odds ratio (OR)=1.30; 95% confidence interval (CI) 1.20-1.40), physical activity (OR=0.91 per 500 kcal/week; 95% CI 0.84-0.98), and general psychological distress (OR=1.03 per GHQ score; 95% CI 1.00-1.06) were independently associated with ED after multivariate adjustments. An U-shaped relationship between BMI and ED was observed only among men with no exercise ( or =25.0 (OR=2.47; 95% CI 1.08-5.67) using BMI 21.0-21.9 as reference, adjusted for age, GHQ and smoking status. Being physically active (> or =1000 kcal/week) only reduced the risk of ED (OR=0.40, 95% CI 0.16-0.95) in men who were obese, adjusted for age, GHQ, smoking status and BMI. CONCLUSIONS: BMI and physical activity independently and differentially affected ED risk. BMI had greatest influence with low physical activity, and physical activity exerted greatest influence when BMI was high. This is the first study to demonstrate an U-shaped relationship between BMI and ED risk, but only in men with no exercise, and to identify underweight as a risk factor for ED. This relationship has clinical implications for obese as well as underweight individuals.     

Effect of body mass index on early outcomes in patients undergoing coronary artery bypass surgery

OBJECTIVES: This study sought to quantify the effect of body mass index (BMI) on early clinical outcomes following coronary artery bypass grafting (CABG). BACKGROUND: Obesity is considered a risk factor for postoperative morbidity and mortality after cardiac surgery, although existing evidence is contradictory. METHODS: A concurrent cohort study of consecutive patients undergoing CABG from April 1996 to September 2001 was carried out. Main outcomes were early death; perioperative myocardial infarction; infective, respiratory, renal, and neurological complications; transfusion; duration of ventilation, intensive care unit, and hospital stay. Multivariable analyses compared the risk of outcomes between five different BMI groups after adjusting for case-mix. RESULTS: Out of 4,372 patients, 3.0% were underweight (BMI <20 kg/m(2)), 26.7% had a normal weight (BMI >or=20 and <25 kg/m(2)), 49.7% were overweight (BMI >or=25 and <30 kg/m(2)), 17.1% obese (BMI >or=30 and <35 kg/m(2)) and 3.6% severely obese (BMI >or=35 kg/m(2)). Compared with the normal weight group, the overweight and obese groups included more women, diabetics, and hypertensives, but fewer patients with severe ischemic heart disease and poor ventricular function. Underweight patients were more likely than normal weight patients to die in hospital (odds ratio [OR] = 4.0, 95% CI 1.4 to 11.1), have a renal complication (OR = 1.9, 95% confidence interval [CI] 1.0 to 3.7), or stay in hospital longer (>7 days) (OR = 1.7, 95% CI 1.1 to 2.5). Overweight, obese, and severely obese patients were not at higher risk of adverse outcomes than normal weight patients, and were less likely than normal weight patients to require transfusion (ORs from 0.42 to 0.86). CONCLUSIONS: Underweight patients undergoing CABG have a higher risk of death or complications than normal weight patients. Obesity does not affect the risk of perioperative death and other adverse outcomes compared to normal weight, yet obese patients appear less likely to be selected for surgery than normal weight patients.     

Chronic Pain and Obesity in Elderly People: Results from the Einstein Aging Study

OBJECTIVES: To determine the prevalence of chronic pain in elderly people and its relationship with obesity and associated comorbidities and risk factors.
DESIGN: Cross-sectional.
SETTING: Community.
PARTICIPANTS: A representative community sample of 840 subjects aged 70 and older.
MEASUREMENTS: The prevalence of chronic pain and its relationship with obesity (categories defined according to body mass index (BMI)), other medical risk factors, and psychiatric comorbidities were examined. Chronic pain was defined as pain of at least moderate severity (≥4 on a 10-point scale) some, most, or all of the time for the previous 3 months.
RESULTS: The sample was mostly female (62.8%), and the average age was 80 (range 70–101). The prevalence of chronic pain was 52% (39.7% in men; 58.9% in women). Subjects with chronic pain were more likely to report a diagnosis of depression (odds ratio (OR)=2.5, 95% confidence interval (CI)=1.40–4.55) and anxiety (OR=2.3, 95% CI=1.22–4.64). Obese subjects (BMI 30–34.9) were twice as likely (OR=2.1, 95%CI=1.33–3.28) and severely obese subjects (BMI≥35) were more than four times as likely (OR=4.5, 95% CI=1.85–12.63) as those of normal weight (BMI 18.5–24.9) to have chronic pain. Obese subjects were significantly more likely to have chronic pain in the head, neck or shoulder, back, legs or feet, and abdomen or pelvis than subjects who were not obese. In multivariate models, obesity (OR=2.0, 95% CI=1.27–3.26) and severe obesity (OR=4.1, 95% CI=1.57–10.82) were associated with chronic pain after adjusting for age, sex, diabetes mellitus, hypertension, depression, anxiety, and education.
CONCLUSION: Chronic pain is common in this elderly population, affects women more than men, and is highly associated with obesity.     

Body mass index and asthma among Mexican adults: the effect of using self-reported vs measured weight and height

Several recent studies have demonstrated a positive association between obesity and asthma among women but not men. The present study examines the effect of misclassification of body mass index (BMI) in the association between obesity and asthma by gender. This cross-sectional analysis included a total sample of 961 Mexican adults. Use of measured BMI revealed that obesity (BMI >30 kg/m(2)) was a risk factor for asthma diagnosis in both men (OR, 2.5; 95% CI, 1.1-5.9) and women (OR, 2.3; 95% CI, 1.5-3.8). In contrast, use of self-reported BMI showed that only women (OR, 1.7; 95% CI, 1.1-2.7) and not men (OR, 1.3; 95% CI, 0.6-2.9) were at increased risk of asthma diagnosis. Use of self-reported BMI substantially underestimated the prevalence of obesity; this bias was not related to asthma per se but was mainly due to obesity. Therefore, misclassification of BMI obscured the relationship between obesity and asthma to a greater extent among men than among women since obesity prevalence in the general population was higher among men. Measurement bias merits greater attention in future research on obesity and asthma.     

Upper-body adiposity and risk of myocardial infarction.

BACKGROUND: The relation between obesity and coronary heart disease (CHD) has long been studied, but no convincing conclusion has been drawn. OBJECTIVE: To estimate the relative risk associated with upper-body adiposity which is at present believed to be a better predictor of CHD. DESIGN: This was a community-based case-control study. METHODS: We studied 338 consecutively admitted patients who had had their first acute myocardial infarction (AMI) and 662 community controls who had not suffered AMI selected as a random sample of adults living in the catchment area of the hospital. We defined three classes of body mass index (BMI) and waist: hip circumference ratio on the basis of tertiles of distribution for controls. Odds ratios (OR) were estimated using unconditional logistic regression. Separate models were built for men and women. RESULTS: In univariate analysis we found a higher risk of AMI for men and women with hypertension, dyslipidaemia, diabetes and lower levels of education, for older women, for male smokers and for men with family histories of CHD. Both for men and for women a higher BMI was associated with a slightly higher risk, whereas the adjusted risk of AMI increased with increasing waist: hip circumference ratio [for men OR (second tertile)= 2.5, 95% confidence interval (CI) 1.3-4.9 and OR (third tertile)= 11.1, 95% CI 6.0-20.6; for women OR (second tertile) = 3.0, 95% CI 0.6-14.8 and OR (third tertile) = 14.1,95% CI 3.2-62.7]. This relation held for each BMI class and was stronger for classes of lower BMI. CONCLUSIONS: Distribution of body fat rather than BMI is a strong marker of risk for AMI and there is a clear interaction between these two variables.     

Predictors of activity limitation and dependence on walking aids after primary total hip arthroplasty

OBJECTIVES: To study function outcomes and their predictors after primary total hip arthroplasty (THA). DESIGN: Prospective cohort study. SETTING: Mayo Clinic. PARTICIPANTS: All patients who underwent primary THA at the Mayo Clinic between 1993 and 2005 and were alive at the time of follow‐up. MEASUREMENTS: Whether sex, age, body mass index (BMI), comorbidity, anxiety, and depression predict moderate to severe activity limitation (limitation in ≥3 activities) and complete dependence on waling aids 2 and 5 years after primary THA was examined. Multivariable logistic regression adjusted for operative diagnosis, American Society of Anesthesiologists score, implant type, and distance from medical center. RESULTS: At 2 years, 30.3% of participants reported moderate to severe activity limitation; at 5 years, 35% of participants reported moderate to severe activity limitation. Significant predictors of moderate to severe activity limitations at 2‐year follow‐up were female sex (odds ratio (OR)=1.2, 95% confidence interval (CI)=1.1–1.4), aged 71 to 80 (OR=2.0, 95% CI=1.6–2.5), aged 80 and older (OR=4.5, 95% CI=3.4–6.0), depression (OR=2.1, 95% CI=1.6–2.7), and BMI greater than 30.0. At 5‐year follow‐up, significant predictors were aged 71 to 80 (OR=1.7, 95% CI=1.3–2.2), older than 80 (OR=4.3, 95% CI=2.8–6.6), depression (OR=2.3, 95% CI=1.6–3.4), and BMI greater than 30.0.Significant predictors of complete dependence on walking aids at 2 years were female sex (OR=2.0, 95% CI=1.4–2.7), aged 71 to 80 (OR=2.4, 95% CI=1.4–4.2), older than 80 (OR=11.4, 95% CI=6.0–21.9), higher Deyo‐Charlson score (OR=1.5, 95% CI=(1.1–1.2) for 5‐point increase, depression (OR=2.0, 95% CI=1.2–3.4), and BMI greater than 35.0. Each of these factors also significantly predicted complete dependence on walking at 5‐year follow‐up, with similar odds ratios, except that BMI of 30.0 to 34.9 was not significantly associated. CONCLUSION: Higher BMI, depression, older age, and female sex predict activity limitation and complete dependence on walking aids 2 and 5 years after primary THA.     

Weight change, weight change intention, and the incidence of mobility limitation in well-functioning community-dwelling older adults

BACKGROUND: Obesity increases the risk for functional decline in later years, but the functional consequences of weight change in older adults are currently unclear. The aim of this study was to determine whether weight, weight change, and weight change intention are associated with risk for mobility limitation in elderly persons. METHODS: This study included 2,932 well-functioning black and white men and women aged 70 to 79 years, participating in the Health, Aging and Body Composition (Health ABC) Study, who were followed for 30 months. At baseline, reported weight change of 5 or more pounds during the previous year and weight change intention were assessed. Mobility limitation was defined as reported difficulty or inability to walk one-quarter mile or to climb 10 steps during two consecutive semiannual assessments during a period of 30 months. RESULTS: Approximately 30% of participants developed mobility limitation. Higher body mass index (BMI) was associated with increased risk for mobility limitation. Unintentional weight loss in the previous year was associated with increased risk for mobility limitation in the extremely obese, which was defined as BMI >or= 35 (hazard ratios [HR], =3.79; 95% confidence interval [CI], 1.84--7.79), and the normal BMI, which was defined as BMI<25 (HR, 2.55; 95% CI, 1.80--3.60). In persons with BMI 25 to 29.9, intentional weight loss (HR, 1.59; 95% CI, 1.12--2.25) and weight fluctuation with any intention (HR, 1.59; 95% CI, 1.10--2.28) increased the risk for mobility limitation. Unintentional weight gain or fluctuation did not confer additional risk for mobility limitation compared with weight stability, regardless of the level of body weight. CONCLUSION: In this cohort of well-functioning elderly persons, functional consequences of past weight change depended on the type of weight change, intentionality, and current measured body weight.     

Body Mass Index and Survival in Men and Women Aged 70 to 75

OBJECTIVES: To examine in an older population all‐cause and cause‐specific mortality associated with underweight (body mass index (BMI)<18.5), normal weight (BMI 18.5–24.9), overweight (BMI 25.0–29.9), and obesity (BMI≥30.0). DESIGN: Cohort study. SETTING: The Health in Men Study and the Australian Longitudinal Study of Women's Health. PARTICIPANTS: Adults aged 70 to 75, 4,677 men and 4,563 women recruited in 1996 and followed for up to 10 years. MEASUReMENTS: Relative risk of all‐cause mortality and cause‐specific (cardiovascular disease, cancer, and chronic respiratory disease) mortality. RESULTS: Mortality risk was lowest for overweight participants. The risk of death for overweight participants was 13% less than for normal‐weight participants (hazard ratio (HR)=0.87, 95% CI=0.78–0.94). The risk of death was similar for obese and normal‐weight participants (HR=0.98, 95% CI=0.85–1.11). Being sedentary doubled the mortality risk for women across all levels of BMI (HR=2.08, 95% CI=1.79–2.41) but resulted in only a 28% greater risk for men (HR=1.28 (95% CI=1.14–1.44). CONCLUSION: These results lend further credence to claims that the BMI thresholds for overweight and obese are overly restrictive for older people. Overweight older people are not at greater mortality risk than those who are normal weight. Being sedentary was associated with a greater risk of mortality in women than in men.     

Indicators of abdominal adiposity in middle-aged participants of the SU.VI.MAX study: relationships with educational level, smoking status and physical inactivity

OBJECTIVES: Abdominal fat accumulation is a risk factor for type 2 diabetes and cardiovascular disease. Identifying the demographic and lifestyle correlates of abdominal adiposity is an important step to target at-risk populations in prevention programs. There are few data of this kind in France. METHODS: Anthropometric indicators of overall (body mass index, BMI) and abdominal (waist hip ratio, WHR; waist circumference, WC) adiposity, educational level, smoking status, and physical activity were assessed in 6,705 middle-aged men and women participating in the SU.VI.MAX study. RESULTS: The likelihood of being obese was increased more than twice in physically inactive subjects of both genders after adjustment for age, smoking status and educational level (OR=2.22, CI95%: 1.74-2.83 in men; OR=2.38, CI95%: 1.84-3.09 in women). Having a high WHR (>=0.95 in men, >=0.80 in women) was more likely in subjects >=50 y, in current smokers, and less likely in men with higher education. The likelihood of having a high WHR was also increased in physically inactive subjects of both genders after adjustment for age, BMI, smoking status and educational level (OR=1.33, CI95%: 1.10-1.60 in men; OR=1.46, CI95%: 1.22-1.74 in women). Having a high WC (>=102 cm in men, >=88 cm in women) was positively associated with age and also with physical inactivity (OR=1.63, CI95%: 1.20-2.22 in women). CONCLUSIONS: These cross-sectional data suggest significant positive associations of physical inactivity with both the WHR and WC, independently of overall adiposity as assessed by the BMI.     

High body mass index and physical impairments as predictors of walking limitation 22 years later in adult Finns

BACKGROUND: Our aim was to study the effects of high body mass index (BMI) and physical impairments in midlife on later life walking limitation. METHODS: Primarily middle-aged persons (aged 32-72 years) with no walking limitation at baseline (n = 840) were followed-up for 22 years as a part of the Mini-Finland Follow-up Survey. Incident walking limitation (walking speed < 1.2 m/s or difficulty in walking 0.5 km) was predicted by measured BMI, handgrip strength, squatting test, and self-reported running difficulties. RESULTS: Twenty-one percent of the participants developed walking limitation. After adjustment for multiple potential confounders, high BMI, low handgrip strength, impaired squatting, and running difficulties were significant predictors of incident walking limitation. The odds ratio (OR) of walking limitation was 4.55 (95% confidence interval [CI], 1.32-15.74) for squatting difficulties and 2.39 (95% CI, 1.26-4.55) for major running difficulties as compared to participants with no difficulties. The corresponding ORs for handgrip strength and BMI were 0.56 (95% CI, 0.38-0.81) and 1.39 (95% CI, 1.10-1.75) per an increment of 1 standard deviation. For persons in the highest BMI tertile who had two or more physical impairments, the adjusted risk of walking limitation was 4.5 times higher in comparison to normal weight persons with no physical impairments. CONCLUSIONS: In primarily middle-aged persons, BMI and simple tests of physical impairment strongly predicted the development of walking limitation 22 years later. In addition, physical impairments coexisting with high BMI predisposed to later life walking limitation more than high BMI alone. Therefore, increasing physical fitness by physical activity and promoting weight loss in middle age may prevent mobility limitation and subsequent disability in old age.     

Association between body mass index and anti–citrullinated protein antibody–positive and anti–citrullinated protein antibody–negative rheumatoid arthritis: Results from a population‐based case–control study

Objective

Being overweight or obese is associated with many chronic diseases, but previous studies of the association with rheumatoid arthritis (RA) have shown inconsistent results. The aim of this study was to investigate the association between body mass index (BMI) and the risk of developing the 2 main subtypes of RA.

Methods

At inclusion, cases and controls answered questions about their weight and height and donated blood samples. The presence of antibodies to citrullinated protein antigens (ACPAs) was analyzed among 2,748 cases and 3,444 controls (28% men). Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using conditional logistic regression.

Results

Compared to those with normal weight (BMI <25 kg/m²), the adjusted overall OR for developing ACPA‐negative RA was 1.1 (95% CI 0.9–1.3) for overweight individuals (BMI ≥25 to <30 kg/m²) and 1.4 (95% CI 1.1–1.9) for obese individuals (BMI ≥30 kg/m²). When stratified by sex, the OR for ACPA‐negative RA for obese women was 1.6 (95% CI 1.2–2.2), and there was no association between obesity and ACPA‐negative RA in men (OR 1.1, 95% CI 0.6–1.8). In obese men compared to men with normal weight, the OR for ACPA‐positive RA was 0.6 (95% CI 0.3–0.9), while there was no association between BMI and ACPA‐positive RA among women (OR 1.0, 95% CI 0.8–1.2).

Conclusion

Our findings show that obesity is associated with developing ACPA‐negative RA in women, and indicate an inverse association between BMI and ACPA‐positive RA in men.     

Role of age, sex, and obesity in the higher prevalence of arthritis among lower socioeconomic groups: a population-based survey

OBJECTIVE: To compare the prevalence of arthritis among population groups based on demographic, socioeconomic, and body mass index (BMI) characteristics; to investigate the combined influence of these factors on arthritis; and to assess the relationship between self-reported health and psychological distress and arthritis. METHODS: Data from the Victorian Population Health Survey (n = 7,500) were used in the study. Psychological distress was assessed using the Kessler Psychological Distress scale, and self-reported health was assessed by a single item. Multiple logistic regression was used to investigate the combined influence of demographic and socioeconomic factors and BMI on arthritis. RESULTS: Overall, 23% of Victorian adults (20% men and 26% women) reported having arthritis. The presence of arthritis was associated with high psychological distress (odds ratio [OR] 1.2; 95% confidence interval [95% CI] 1.1-1.4) and poor self-reported health (OR 1.9; 95% CI 1.7-2.1). Increased prevalence of arthritis was found in older age groups, lower education and income groups, and in people who were overweight or obese. Women had higher risk of arthritis, even after adjustment for age, residence, education, occupation, income, and BMI. Age and BMI independently predicted arthritis for men and women. For men, higher risk of arthritis was also associated with lower income. CONCLUSION: Arthritis is a highly prevalent condition associated with poor health and high psychological distress. Prevalence of arthritis is disproportionately high among women and individuals from lower socioeconomic backgrounds. As the prevalence of arthritis is predicted to increase, careful consideration of causal factors, and setting priorities for resource allocation for the treatment and prevention of arthritis are required.