Individuals with obesity but no other metabolic risk factors are not at significantly elevated all-cause mortality risk in men and women.

Studies have examined mortality risk for metabolically healthy obesity, defined as zero or one metabolic risk factors but not as zero risk factors. Thus, we sought to determine the independent mortality risk associated with obesity or elevated glucose, blood pressure or lipids in isolation or clustered together. The sample included 54 089 men and women from five cohort studies (follow-up = 12.8 ± 7.2 years and 4864 [9.0%] deaths). Individuals were categorized as having obesity or elevated glucose, blood pressure or lipids alone or clustered with obesity or another metabolic factor. In our study sample, 6% of individuals presented with obesity but no other metabolic abnormalities. General obesity (hazard ratios [HR], 95% CI = 1.10, 0.8-1.6) and abdominal obesity (HR = 1.24, 0.9-1.7) in the absence of metabolic risk factors were not associated with mortality risk compared to lean individuals. Conversely, diabetes, hypertension and dyslipidaemia in isolation were significantly associated with mortality risk (HR range = 1.17-1.94, P < 0.05). However, when using traditional approaches, obesity (HR = 1.12, 1.02-1.23) is independently associated with mortality risk after statistical adjustment for the other metabolic risk factors. Similarly, metabolically healthy obesity, when defined as zero or one risk factor, is also associated with increased mortality risk (HR = 1.15, 1.01-1.32) as compared to lean healthy individuals. Obesity in the absence of metabolic abnormalities may not be associated with higher risk for all-cause mortality compared to lean healthy individuals. Conversely, elevation of even a single metabolic risk factor is associated with increased mortality risk.

Inter-relationships between physical activity, body mass index, sedentary time, and cognitive functioning in younger and older adults: cross-sectional analysis of the Canadian Community Health Survey.

OBJECTIVES: Engagement in leisure-time physical activity (LTPA) is protective against cognitive decline whereas obesity and sedentary behaviors are associated with impairments in perceived cognitive function. Currently, little is known about how these relationships vary across the lifespan. This study investigated the inter-relationships between LTPA, leisure-time sedentary time (LTST), body mass index (BMI), and perceived cognitive functioning in younger and older Canadian adults. STUDY DESIGN: This is a cross-sectional study. METHODS: Data from the 2012 annual component of the Canadian Community Health Survey (n = 45,522; ≥30 y) were used to capture LTPA, BMI, LTST, and perceived cognitive function. The inter-relationships were assessed using both mediation analyses and general linear models. RESULTS: Lower LTPA and higher BMI and LTST were related to poorer perceived cognitive functioning (P < 0.0001) and LTPA mediated the BMI-perceived cognitive functioning (Sobel's test: t = 3.24; P < 0.002) and LTST-perceived cognitive functioning (Sobel test: t = 3.35; P < 0.002) relationships. CONCLUSION: Higher LTPA levels contribute to better perceived cognitive functioning scores both independently and by way of offsetting the impact of elevated BMI and LTST on cognitive function.

Factors associated with complementary and alternative medicine use among women at midlife.

Hormone replacement therapy (HRT) has been established as the first-line treatment for women experiencing menopausal symptoms. The use of complementary and alternative medicine (CAM), however, is becoming increasingly popular among women at midlife for management of such symptoms. Despite the equivocal evidence of CAM's efficacy in the reduction and alleviation of menopausal symptoms in placebo-controlled, randomized trials, 50% of women at midlife use CAM. To date, several large, population-based studies have focused upon CAM use amongst menopausal women and the factors associated with the adoption of such therapies. By identifying women in the menopausal transition who tend to use CAM, this narrative review highlights evidence that aids women at this stage of life make better and individualized treatment choices to relieve these symptoms. The available evidence suggests that the prevalence of CAM use among menopausal women is high world-wide, but there is a paucity of high-quality studies that adequately assess the factors associated with its use. Further studies are needed to confirm the characteristics of women who employ CAM to manage their night sweats and hot flushes. Results of this study might enable the development of policies catering to the needs of those women and provide a resource to support their decision-making regarding treatment options.

The relationship between changes in sitting time and mortality in post-menopausal US women.

BACKGROUND: Prolonged sitting is linked to various deleterious health outcomes. The alterability of the sitting time (ST)-health relationship is not fully established however and warrants study within populations susceptible to high ST. METHODS: We assessed the mortality rates of post-menopausal women from the Women's Health Initiative (WHI) observational study, a 15-year prospective study of post-menopausal women aged 50-79 years, according to their change in ST between baseline and year six. A total of 77 801 participants had information at both times on which to be cross-classified into the following: (i) high ST at baseline and follow-up; (ii) low ST at baseline and follow-up; (iii) increased ST and (iv) decreased ST. Cox regression was used to assess the relationship between all-cause, CVD and cancer mortality with change in ST. RESULTS: At the end of follow-up, there were 1855 deaths. Compared with high ST maintainers, low ST maintainers had a 51 and 48% lower risk of all-cause and cancer mortality, respectively. Reducing sitting also resulted in a protective rate of 29% for all-cause and 27% for cancer mortality. CONCLUSIONS: These results highlight not only the benefit of maintaining minimal ST, but also the utility of decreasing ST in older women, if current levels are high.

Tricyclic and SSRI usage influences the association between BMI and health risk factors.

To determine if selective-serotonin reuptake inhibitors (SSRIs) and tricyclic antidepressants (TCAs) influence the association between obesity and cardiovascular disease risk, participants from the Third National Health and Nutrition Examination Survey (NHANES III; 1988-1992) and continuous NHANES (1999-2009, n = 18 274) were used. For a given body mass index (BMI), individuals taking SSRIs (n = 219) tended to have significantly better health risk profiles with lower systolic blood pressure (P = 0.002) and higher high-density lipoprotein (P = 0.003) compared with non-users. Conversely, those who used TCAs (n = 116) had significantly worse health risk profiles with higher diastolic blood pressure (P ≤ 0.0001) and triglycerides (P = 0.023) as compared with non-users for a given BMI. Insulin resistance (HOMA-IR) was higher in TCA users and those with larger BMIs, whereby the differences in insulin resistance between TCA users and non-users was greater with higher BMIs (interaction effect: P = 0.013). Furthermore, individuals taking SSRIs were less likely to have cardiovascular disease than non-users (odds ratio, 95% confidence interval = 0.50, 0.33-0.75) for a given BMI, with no differences by TCA use (odds ratio = 0.74, 0.44-1.24). SSRI and TCA use may alter how body weight relates with cardiovascular risk. When prescribing antidepressant medications, it may be necessary to monitor and consider body weight and cardiovascular risk profile of individual patients.

Difference in weight loss based on ethnicity, age and comorbidity status in a publicly funded adult weight management centre: 1-year results.

Limited evidence is available on the effectiveness of publicly funded weight loss (WL) clinics. We examined the 1-year WL outcomes and investigated predictors of WL and discontinuation of 1566 overweight and obese adults, who attended the Wharton Medical Clinic (WMC) weight management centre for at least 6 months. Overall, 42.7% (n = 669) of the entire sample achieved a ≥5%WL over the entire follow-up period from July 2008 to February 2012. On average, patients lost 5.6 ± 7.2 kg (5.0 ± 6.3%) of initial body weight (BW), while a subsample of patients attending the clinic for at least 1 year had a mean weight reduction of 6.6 ± 7.9 kg (5.9 ± 7.2%) of BW. Older patients were more likely to achieve a greater WL in comparison with young patients while White patients and those without type 2 diabetes (T2D) lost almost twice as much weight and %BW in comparison with Asian patients and patients with T2D, respectively (P < 0.05). Discontinuing patients did not differ in terms of sex, body mass index, education and smoking status from those who continued treatment (P > 0.05). Results of this study demonstrate that the WMC provides a practical model for clinically effective lifestyle-based treatment, accessible to a wide range of demographically diverse adults.

Physical inactivity, excess adiposity and premature mortality.

The purpose of this report is to review the evidence that physical inactivity and excess adiposity are related to an increased risk of all-cause mortality, and to better identify the independent contributions of each to all-cause mortality rates. A variance-based method of meta-analysis was used to summarize the relationships from available studies. The summary relative risk of all-cause mortality for physical activity from the 55 analyses (31 studies) that included an index of adiposity as a covariate was 0.80 [95% confidence interval (CI) 0.78-0.821, whereas it was 0.82 [95% CI 0.80-0.84] for the 44 analyses (26 studies) that did not include an index of adiposity. Thus, physically active individuals have a lower risk of mortality by comparison to physically inactive peers, independent of level of adiposity. The summary relative risk of all-cause mortality for an elevated body mass index (BMI) from the 25 analyses (13 studies) that included physical activity as a covariate was 1.23 [95% CI 1.18-1.29], and it was 1.24 [95% CI 1.21-1.28] for the 81 analyses (36 studies) that did not include physical activity as a covariate. Studies that used a measure of adiposity other than the BMI show similar relationships with mortality, and stratified analyses indicate that both physical inactivity and adiposity are important determinants of mortality risk.