Mark W. Vander Weg

Non-Exercise Activity Thermogenesis. The Crouching Tiger Hidden Dragon of Societal Weight Gain

Non-exercise activity thermogenesis (NEAT) is the energy expenditure of all physical activities other than volitional sporting-like exercise. NEAT includes all the activities that render us vibrant, unique, and independent beings such as working, playing, and dancing. Because people of the same weight have markedly variable activity levels, it is not surprising that NEAT varies substantially between people by up to 2000 kcal per day. Evidence suggests that low NEAT may occur in obesity but in a very specific fashion. Obese individuals appear to exhibit an innate tendency to be seated for 2.5 hours per day more than sedentary lean counterparts. If obese individuals were to adopt the lean “NEAT-o-type,” they could potentially expend an additional 350 kcal per day. Obesity was rare a century ago and the human genotype has not changed over that time. Thus, the obesity epidemic may reflect the emergence of a chair-enticing environment to which those with an innate tendency to sit, did so, and became obese. To reverse obesity, we need to develop individual strategies to promote standing and ambulating time by 2.5 hours per day and also re-engineer our work, school, and home environments to render active living the option of choice.

A Randomized Controlled Trial of Cognitive Training Using a Visual Speed of Processing Intervention in Middle Aged and Older Adults

Background Age-related cognitive decline is common and may lead to substantial difficulties and disabilities in everyday life. We hypothesized that 10 hours of visual speed of processing training would prevent age-related declines and potentially improve cognitive processing speed. Methods Within two age bands (50–64 and≥65) 681 patients were randomized to (a) three computerized visual speed of processing training arms (10 hours on-site, 14 hours on-site, or 10 hours at-home) or (b) an on-site attention control group using computerized crossword puzzles for 10 hours. The primary outcome was the Useful Field of View (UFOV) test, and the secondary outcomes were the Trail Making (Trails) A and B Tests, Symbol Digit Modalities Test (SDMT), Stroop Color and Word Tests, Controlled Oral Word Association Test (COWAT), and the Digit Vigilance Test (DVT), which were assessed at baseline and at one year. 620 participants (91%) completed the study and were included in the analyses. Linear mixed models were used with Blom rank transformations within age bands. Results All intervention groups had (p<0.05) small to medium standardized effect size improvements on UFOV (Cohens d = −0.322 to −0.579, depending on intervention arm), Trails A (d = −0.204 to −0.265), Trails B (d = −0.225 to −0.320), SDMT (d = 0.263 to 0.351), and Stroop Word (d = 0.240 to 0.271). Converted to years of protection against age-related cognitive declines, these effects reflect 3.0 to 4.1 years on UFOV, 2.2 to 3.5 years on Trails A, 1.5 to 2.0 years on Trails B, 5.4 to 6.6 years on SDMT, and 2.3 to 2.7 years on Stroop Word. Conclusion Visual speed of processing training delivered on-site or at-home to middle-aged or older adults using standard home computers resulted in stabilization or improvement in several cognitive function tests. Widespread implementation of this intervention is feasible. Trial Registration ClinicalTrials.gov NCT-01165463

Speed of processing training protects self-rated health in older adults: enduring effects observed in the multi-site ACTIVE randomized controlled trial

BACKGROUND We evaluated the effects of cognitive training on self-rated health at 1, 2, 3, and 5 years post-baseline. METHODS In the ACTIVE (Advanced Cognitive Training for Independent and Vital Elderly) randomized controlled trial, 2,802 older adults (>or=65 years) were randomly assigned to memory, reasoning, speed of processing, or no-contact control intervention groups. Complete data were available for 1,804 (64%) of the 2,802 participants at five years. A propensity score model was adjusted for attrition bias. The self-rated health question was coded using the Diehr et al. (2001) transformation (E = 95/VG = 90/G = 80/F = 30/P = 15), and analyzed with change-score regression models. RESULTS The speed of processing (vs. no-contact control) group had statistically significant improvements (or protective effects) on changes in self-rated health at the 2, 3 and 5 year follow-ups. The 5-year improvement was 2.8 points (p = 0.03). No significant differences were observed in the memory or reasoning groups at any time. CONCLUSION The speed of processing intervention significantly protected self-rated health in ACTIVE, with the average benefit equivalent to half the difference between excellent vs. very good health.

The Effect of Speed-of-Processing Training on Depressive Symptoms in ACTIVE

OBJECTIVE We evaluated the effects of three cognitive training interventions on depressive symptoms at 1 and 5 years. METHODS Advanced Cognitive Training for Independent and Vital Elderly is a multisite randomized controlled trial (age >or= 65 years), with four groups (memory, reasoning, speed-of-processing, and no-contact control). Complete data were available for 2,014 (72%) and 1,516 (54%) of 2,802 participants at 1 and 5 years. Separate propensity score models adjusted for potential attrition bias. Clinically important increases in depressive symptoms were defined as: (a) Center for Epidemiological Studies-Depression scale (CES-D)-12 score increases >or=0.5 SD and (b) CES-D-12 score increases >or=1.0 SD. Multivariable logistic regression was used. RESULTS The speed-of-processing group (vs the no-contact control group) was 30% less likely to experience clinically important increases in depressive symptoms at 1-year (adjusted odds ratio [AOR] = 0.700, p = .012) and 5-year (AOR = 0.698, p = .023) posttraining for the >or=0.5 SD threshold. Similar results (AOR = .669 with p = .039 at 1 year; AOR = 0.651 with p = .059 at 5 years) were obtained for the >or=1.0 SD threshold. No differences were observed among the control, memory, or reasoning groups at either time period or at either threshold. CONCLUSION The speed-of-processing intervention reduced the risk of clinically important increases in depressive symptoms at 1- and 5-years postbaseline.

Does Cognitive Training Improve Internal Locus of Control Among Older Adults

OBJECTIVES We evaluated the effect of cognitive training among 1,534 participants in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) randomized controlled trial (RCT) on 5-year improvements in 3 cognitive-specific measures of locus of control-internal, chance, and powerful others. METHODS ACTIVE was a multisite RCT (age > or = 65), with 4 groups (memory, reasoning, speed of processing, and no-contact control). Complete 5-year follow-up data were available for 1,534 (55%) of the 2,802 participants. A propensity score model was used to adjust for potential attrition bias. Clinically important improvements (and decrements) in the cognitive-specific locus of control scale scores were defined as greater than or equal to 0.5 SD (medium) and greater than or equal to 1.0 SD (large). Multinomial logistic regression was used to simultaneously contrast those who improved and those who declined with those whose locus of control scale score was unchanged. RESULTS Statistically significant effects reflecting medium-sized (> or = 0.5 SD) improvements in internal locus of control between baseline and the 5-year follow-up were found for the reasoning and speed of processing intervention groups who were 76% (p < .01) and 68% (p < .05) more likely, respectively, to improve than the no-contact control group. No improvement effects were found on the chance or powerful others locus of control measures or for the memory intervention group. CONCLUSION Cognitive training that targets reasoning and speed of processing can improve the cognitive-specific sense of personal control over ones life in older adults.

The ACTIVE Cognitive Training Interventions and the Onset of and Recovery from Suspected Clinical Depression

We evaluated the effects of the 3 cognitive interventions fielded in the Advanced Cognitive Training for Independent and Vital Elderly study on 2 subsets of participants-1,606 without and 424 with suspected clinical depression at baseline. In the former group, only the speed of processing (vs. no-contact control) intervention had a significant effect, with its participants being 38% less likely to develop suspected clinical depression at 1 year (adjusted odds ratio = 0.62; p < .01). None of the interventions had a significant effect on recovery from suspected clinical depression in the latter group. Although the etiological mechanism of the speed of processings protective effect was not isolated, it may result from successful adaptation to age-related changes through selective optimization with compensation.

Cluster-Randomized Trial of a Physician/Pharmacist Collaborative Model to Improve Blood Pressure Control

Background—The purpose of this study was to evaluate if a physician/pharmacist collaborative model would be implemented as determined by improved blood pressure (BP) control in primary care medical offices with diverse geographic and patient characteristics and whether long-term BP control could be sustained. Methods and Results—Prospective, cluster-randomized trial of 32 primary care offices stratified and randomized to control, 9-month intervention (brief), and 24-month intervention (sustained). We enrolled 625 subjects with uncontrolled hypertension; 54% from racial/ethnic minority groups and 50% with diabetes mellitus or chronic kidney disease. The primary outcome of BP control at 9 months was 43% in intervention offices (n=401) compared with 34% in the control group (n=224; adjusted odds ratio, 1.57 [95% confidence interval, 0.99–2.50]; P=0.059). The adjusted difference in mean systolic/diastolic BP between the intervention and control groups for all subjects at 9 months was −6.1/−2.9 mm Hg (P=0.002 and P=0.005, respectively), and it was −6.4/−2.9 mm Hg (P=0.009 and P=0.044, respectively) in subjects from racial or ethnic minorities. BP control and mean BP were significantly improved in subjects from racial minorities in intervention offices at 18 and 24 months (P=0.048 to P<0.001) compared with the control group. Conclusions—Although the results of the primary outcome (BP control) were negative, the key secondary end point (mean BP) was significantly improved in the intervention group. Thus, the findings for secondary end points suggest that team-based care using clinical pharmacists was implemented in diverse primary care offices and BP was reduced in subjects from racial minority groups. Clinical Trial Registration—URL: http://www.clinicaltrials.gov. Unique identifier: NCT00935077.

Relationships among smoking status, ethnicity, socioeconomic indicators, and lifestyle variables in a biracial sample of women

BACKGROUND Smoking prevalence rates remain high among women and smoking initiation has increased for young adults. Little is known about the unique patterns of smoking, risk factors, and correlates of quitting in Black versus White women of child-bearing age. METHOD This study examined the relationships among smoking, ethnicity, socioeconomic status (SES), and lifestyle variables among 715 women (43.6% Blacks and 56.4% Whites). Stringent inclusion criteria were used for ethnicity, which allows for distinct comparisons but may reduce generalizability of results. RESULTS Black current smokers smoked fewer cigarettes per day and reported initiating smoking at a later age than Whites. Current versus never smoking was associated with income, education, and caffeine intake. There was a significant ethnicity by alcohol interaction (at lower levels of alcohol intake Whites were more likely to smoke but at higher levels of alcohol there were no ethnic differences). Former smoking versus current smoking was associated with alcohol intake, education, and pack years of smoking. CONCLUSIONS The results of the study suggest several ethnic differences in smoking patterns as well as several correlates of smoking status. These results have implications for the tailoring of interventions and illustrate the association of other health risk factors with smoking status.

The validity of self-rated health as a measure of health status among young military personnel: Evidence from a cross-sectional survey

BackgroundSingle item questions about self ratings of overall health status are widely used in both military and civilian surveys. Limited information is available to date that examines what relationships exist between self-rated health, health status and health related behaviors among relatively young, healthy individuals.MethodsThe current study uses the population of active duty United States Air Force recruits (N = 31,108). Participants completed surveys that asked about health behaviors and health states and were rated their health on a continuum from poor to excellent.ResultsRatings of health were consistently lower for those who used tobacco (F = 241.7, p < .001), reported binge drinking (F = 69.0, p < .001), reported drinking and driving (F = 19.4, p < .001), reported taking health risks (F = 109.4, p < .001), were depressed (F = 256.1, p < .001) and were overweight (F = 39.5, p < .001).ConclusionGiven the consistent relationship between self-rated overall health and factors important to military health and fitness, self-rated health appears to be a valid measure of health status among young military troops.

Acute Exacerbations of Chronic Obstructive Pulmonary Disease and the Effect of Existing Psychiatric Comorbidity on Subsequent Mortality

OBJECTIVES Studies investigating associations between chronic obstructive pulmonary disease (COPD) outcomes and psychiatric comorbidity have yielded mixed findings. We examined a national sample of hospitalized COPD patients to evaluate the impact of three psychiatric conditions on mortality and readmission. METHODS Department of Veterans Affairs (VA) administrative and laboratory data were used to identify 26,591 consecutive patients admitted for COPD during October 2006 to September 2008. Associations between psychiatric comorbidity and both 30-day mortality and readmission were examined using generalized estimating equations and Cox proportional hazards regression, respectively, with adjustments for patient demographics, medical comorbidities, illness severity, and clustering within hospitals. RESULTS Unadjusted 30-day mortality was higher in patients with anxiety (5.3% vs. 3.8% [P < 0.001]) and depression (6.2% vs. 3.8% [<0.001]). In multivariable analyses, adjusted odds of 30-day mortality were higher for patients with depression (OR, 1.53; 95% CI, 1.28-1.82) and anxiety (OR, 1.72; 1.42 -2.10), but not for patients with PTSD (OR, 1.19; 0.92-1.55). Unadjusted 30-day readmission rates also varied by diagnosis; depression and PTSD were associated with lower rates of readmission (10.4% vs. 11.6% [<0.05] and 8.6% vs. 11.6% [<0.001], respectively), whereas anxiety was not (11.3% vs. 11.5% [NS]). However, after covariate adjustment using multivariable models, anxiety and depression (but not PTSD) were associated with increased risk for readmission (HR, 1.22; 1.03 -1.43 and HR, 1.35; 1.18 -1.54, respectively). CONCLUSION Comorbid anxiety and depression may have an adverse impact on COPD hospital prognosis or may be indicative of more severe illness.