Weight Change and Risk of Atherosclerosis Measured by Carotid Intima-Media Thickness (cIMT) from a Prospective Cohort-Analysis of the First-Wave Follow-Up Data of the Canadian Longitudinal Study on Aging (CLSA)

To explore impact of weight change (WC) on risk of atherosclerosis measured by cIMT, 20,700 participants from the CLSA follow-up were included in analysis. WC was defined as the difference of weight measured at follow-up and baseline, then quartered into four groups (Q1-Q4). cIMT > 1.0 mm was defined as high risk for atherosclerosis. Adjusted odds ratio (OR (95% CI)) from logistic regression models were used to evaluate the association between WC and risk of atherosclerosis. At follow-up, participants had gained 0.118 kg weight, on average, and 16.4% of them were at high risk for atherosclerosis. The mean levels of cIMT were comparable between participants from Q1 to Q4. Compared to Q2 (reference), the ORs (95% CI) were 1.00 (0.86, 1.15), 1.19 (1.03,1.38), and 1.25 (1.08,1.45) for Q1, Q3, and Q4, respectively. A similar pattern was observed when analyses were conducted for ages < 65 vs. 65+ separately, but it was weaker for those aged 65+. Results from the jointed distribution analyses indicated that moderate weight loss might increase risk for atherosclerosis among participants with obese BMI at baseline, but not for those with cardiovascular event status at baseline. Weight gain, however, would increase risk for atherosclerosis regardless of cardiovascular event status, or overweight/obese BMI at baseline.

Age is the most important factor for change in body mass index and waist circumference in older people in southern Brazil

OBJECTIVES

The aim of this study is to assess the changes in body mass index and waist circumference (WC) and their associations with sociodemographic, behavioral, and health characteristics in non-institutionalized older people in southern Brazil over a period of ≤6 y.

METHODS

This is a prospective study, with interviews conducted in 2014 and in 2019 to 2020. Of the 1451 individuals from Pelotas, Brazil, aged >60 y and interviewed in 2014, 537 were reevaluated in 2019 to 2020. An increase or decrease was defined as a variation of ≥5% in body mass index and WC in the second visit compared with the first. The association with changes in outcomes was assessed according to sociodemographic, behavioral, and health characteristics using multinomial logistic regression.

RESULTS

Approximately 29% of the older participants lost body mass. Regarding WC, there was an increase in 25.6% in the older participants. The older participants ages ≥80 y had greater odds of losing body mass (odds ratio [OR] = 4.73; 95% confidence interval [CI], 2.29-9.76) and of reducing WC (OR = 2.84; 95% CI, 1.59-6.94). Former smokers had, on average, 41% and 64% lower odds of losing and gaining body mass (95% CI, 0.37-0.95 and 95% CI, 0.19-0.68, respectively), and those who were on ≥5 medications had greater odds of gaining body mass (OR = 1.92; 95% CI, 1.12-3.28) and WC (OR = 1.79; 95% CI, 1.18-2.74).

CONCLUSIONS

Despite the high proportion of older people who kept their body mass index and WC stable during this period, many of them lost body mass and gained WC. The findings also highlighted the importance of age in the nutritional changes observed in the population.

Weight change and risk of the foundation of National Institute of Health Sarcopenia-defined low lean mass: Data from the National Health and Nutrition examination surveys 1999-2004

BACKGROUND

Self-reported weight change may lead to adverse outcomes. We evaluated weight change with cutpoints of low lean mass (LLM) in older adults.

METHODS

Of 4984 subjects ≥60 years from NHANES 1999-2004, we applied LLM cutoffs of appendicular lean mass (ALM):body mass index (BMI) males<0.789, females<0.512. Self-reported weight was assessed at time of survey, and questions asked participants their weight one and 10 years earlier, and at age 25. Weight changes were categorized as greater/less/none than 5%. Logistic regression assessed weight change (gain, loss, no change) on LLM, after adjustment.

RESULTS

Of 4984 participants (56.5% female), mean age and BMI were 71.1 years and 28.2 kg/m2. Mean ALM was 19.7 kg. In those with LLM, 13.5% and 16.3% gained/lost weight in the past year, while 48.9% and 19.4% gained/lost weight in the past decade. Compared to weight at age 25, 85.2 and 6.1% of LLM participants gained and lost ≥5% of their weight, respectively. Weight gain over the past year was associated with a higher risk of LLM (OR 1.35 [0.99,1.87]) compared to weight loss ≥5% over the past year (0.89 [0.70,1.12]). Weight gain (≥5%) over 10-years was associated with a higher risk of LLM (OR 2.03 [1.66, 2.49]) while weight loss (≥5%) was associated with a lower risk (OR 0.98 [0.76,1.28]). Results were robust compared to weight at 25 years (gain OR 2.37 [1.76,3.20]; loss OR 0.95 [0.65,1.39]).

CONCLUSION

Self-reported weight gain suggests an increased risk of LLM. Future studies need to verify the relationship with physical function.

The Adiponectin Paradox in the Elderly: Associations With Body Composition, Physical Functioning, and Mortality

Background

To determine if adiponectin levels are associated with weight loss, low muscle mass, and physical functioning among the elderly and to determine independent associations with incident disability and death.

Methods

Included were 3,044 participants from the Health, Aging and Body Composition Study, who had whole-body dual energy absorptiometry performed to evaluate appendicular lean mass index (ALMI, kg/m2) and fat mass index (FMI, kg/m2), computed tomography measures of thigh muscle density, weight histories, estimates of physical functioning, and adiponectin levels at enrollment. Associations between adiponectin levels and body composition, weight loss, and physical functioning were assessed in multivariable linear regression models. Associations between adiponectin and incident disability and mortality were assessed in mediation analyses, adjusting for other factors.

Results

Greater adiponectin at baseline was independently associated with low FMI Z-score, lower waist circumference, low ALMI Z-score, low muscle density, a history of weight loss, and poor physical functioning (all p < .05). Greater adiponectin levels (per SD) were associated with incident disability [HR: 1.14 (1.08, 1.20), p < .001] and greater mortality [HR: 1.17 (1.10, 1.25), p < .001] in models adjusting for demographic factors, adiposity, and comorbid conditions. The association was completely attenuated and no longer significant (all p > 0.05) when adjusting for body composition, muscle density, weight loss, and physical functioning at baseline.

Conclusions

Greater serum adiponectin levels are associated with historical weight loss, low skeletal muscle mass, low muscle density, and poor physical functioning. High adiponectin is associated with a greater risk of incident disability and death, but not independently of these factors.

Aging and Imaging Assessment of Body Composition: From Fat to Facts

The aging process is characterized by the chronic inflammatory status called "inflammaging", which shares major molecular and cellular features with the metabolism-induced inflammation called "metaflammation." Metaflammation is mainly driven by overnutrition and nutrient excess, but other contributing factors are metabolic modifications related to the specific body composition (BC) changes occurring with age. The aging process is indeed characterized by an increase in body total fat mass and a concomitant decrease in lean mass and bone density, that are independent from general and physiological fluctuations in weight and body mass index (BMI). Body adiposity is also re-distributed with age, resulting in a general increase in trunk fat (mainly abdominal fat) and a reduction in appendicular fat (mainly subcutaneous fat). Moreover, the accumulation of fat infiltration in organs such as liver and muscles also increases in elderly, while subcutaneous fat mass tends to decrease. These specific variations in BC are considered risk factors for the major age-related diseases, such as cardiovascular diseases, type 2 diabetes, sarcopenia and osteoporosis, and can predispose to disabilities. Thus, the maintenance of a balance rate of fat, muscle and bone is crucial to preserve metabolic homeostasis and a health status, positively contributing to a successful aging. For this reason, a detailed assessment of BC in elderly is critical and could be an additional preventive personalized strategy for age-related diseases. Despite BMI and other clinical measures, such as waist circumference measurement, waist-hip ratio, underwater weighing and bioelectrical impedance, are widely used as a surrogate measure for body adiposity, they barely reflect the distribution of body fat. Because of the great advantages offered by imaging tools in research and clinics, the attention of clinicians is now moving to powerful imaging techniques such as computed tomography, magnetic resonance imaging, dual-energy X-ray absorptiometry and ultrasound to obtain a more accurate estimation of BC. The aim of this review is to present the state of the art of the imaging techniques that are currently available to measure BC and that can be applied to the study of BC changes in the elderly, outlining advantages and disadvantages of each technique.

Guideline for Antibiotic Use in Adults with Community-acquired Pneumonia

Community-acquired pneumonia is common and important infectious disease in adults. This work represents an update to 2009 treatment guideline for community-acquired pneumonia in Korea. The present clinical practice guideline provides revised recommendations on the appropriate diagnosis, treatment, and prevention of community-acquired pneumonia in adults aged 19 years or older, taking into account the current situation regarding community-acquired pneumonia in Korea. This guideline may help reduce the difference in the level of treatment between medical institutions and medical staff, and enable efficient treatment. It may also reduce antibiotic resistance by preventing antibiotic misuse against acute lower respiratory tract infection in Korea.

Body Mass Index, Weight Loss, and Cause-Specific Mortality in Rheumatoid Arthritis

OBJECTIVE

To examine associations of body mass index (BMI) and weight loss with cause-specific mortality in rheumatoid arthritis (RA).

METHODS

A cohort of US veterans with RA was followed until death or through 2013. BMI was categorized as underweight, normal, overweight, and obese. Weight loss was calculated as the 1) annualized rate of change over the preceding 13 months, and 2) cumulative percent. Vital status and cause of death were obtained from the National Death Index. Multivariable competing-risks regression models were utilized to assess the time-varying associations of BMI and weight loss with cause-specific mortality.

RESULTS

Among 1,600 participants and 5,789 patient-years of followup, 303 deaths occurred (95 cardiovascular, 74 cancer, and 46 respiratory). The highest weight-loss rate and weight-loss percent were associated with a higher risk of cardiovascular mortality (rate: subdistribution hazard ratio [sHR] 2.27 [95% confidence interval (95% CI) 1.61-3.19]; percent: sHR 2.31 [95% CI 1.06-5.01]) and cancer mortality (rate: sHR 2.36 [95% CI 1.11-5.01]; percent: sHR 1.90 [95% CI 1.00-3.62]). Overweight BMI was protective of cardiovascular mortality (sHR 0.59 [95% CI 0.38-0.91]), while underweight BMI was associated with a near 3-fold increased risk of respiratory mortality (sHR 2.93 [95% CI 1.28-6.67]). Incorporation of time-varying BMI and weight loss in the same models did not substantially alter individual associations for cardiovascular and cancer mortality, but an association between weight-loss percentage and respiratory mortality was attenuated after BMI adjustment.

CONCLUSION

Both BMI and weight loss are predictors of cause-specific mortality in RA. Weight loss is a strong predictor of cardiovascular and cancer mortality, while underweight BMI is a stronger predictor of respiratory mortality.

The Importance of Mid-to-Late-Life Body Mass Index Trajectories on Late-Life Gait Speed

BACKGROUND

Prior studies suggest being overweight may be protective against poor functional outcomes in older adults.

METHODS

Body mass index (BMI, kg/m2) was measured over 25 years across five visits (1987-2011) among Atherosclerosis Risk in Communities Study participants (baseline Visit 1 n = 15,720, aged 45-64 years). Gait speed was measured at Visit 5 ("late-life", aged ≥65 years, n = 6,229). BMI trajectories were examined using clinical cutpoints and continuous mixed models to estimate effects of patterns of BMI change on gait speed, adjusting for demographics and comorbidities.

RESULTS

Mid-life BMI (baseline visit; 55% women; 27% black) was associated with late-life gait speed 25 years later; gait speeds were 94.3, 89.6, and 82.1 cm/s for participants with baseline normal BMI (<25), overweight (25 ≤ BMI < 30), and obese (BMI ≥ 30) (p < .001). In longitudinal analyses, late-life gait speeds were 96.9, 88.8, and 81.3 cm/s for participants who maintained normal, overweight, and obese weight status, respectively, across 25 years (p < .01). Increasing BMI over 25 years was associated with poorer late-life gait speeds; a 1%/year BMI increase for a participant with a baseline BMI of 22.5 (final BMI 28.5) was associated with a 4.6-cm/s (95% confidence interval: -7.0, -1.8) slower late-life gait speed than a participant who maintained a baseline BMI of 22.5.

CONCLUSION

Being overweight in older age was not protective of mobility function. Maintaining a normal BMI in mid- and late-life may help preserve late-life mobility.

The association of dietary patterns and weight change in rural older adults 75 years and older

Little is known about the relationship between weight change and dietary patterns (DP) in older adults, especially in those of advanced age (≥ 75 years). We examined the association of DP with obesity and five-year weight change in community-dwelling older adults (n = 270; mean ± SD age: 78.6 ± 3.9 years). Dietary data were collected from four, random, 24-hour dietary recalls over a 10-month period. Weight change was examined as: (1) 10-pound weight loss; (2) 10-pound weight gain; (3) 10% weight loss; and (4) 10% weight gain. Cluster analysis was used to derive 3 DP ("Health-conscious," "Sweets and dairy," and "Western"). Kaplan-Meier plots and Cox proportional hazards regression models were used. About 39% of participants lost at least 10 pounds during follow up. In the unadjusted model, five-year weight loss was not associated with dietary pattern. However, when stratified by gender, females who were characterized by the Sweets and Dairy and the Western DP were three and two times more likely to lose 10 pounds, respectively, compared to those in the Health-conscious DP (P < 0.05). These observations suggest that it is appropriate to recommend a Health-conscious DP for women 75 years and older who may be at risk for weight loss.

Malnutrition in a sample of community-dwelling people with Parkinson's disease

Objective

Malnutrition results in poor health outcomes, and people with Parkinson’s disease may be more at risk of malnutrition. However, the prevalence of malnutrition in Parkinson’s disease is not yet well defined. The aim of this study is to provide an estimate of the extent of malnutrition in community-dwelling people with Parkinson’s disease.

Methods

This is a cross-sectional study of people with Parkinson’s disease residing within a 2 hour driving radius of Brisbane, Australia. The Subjective Global Assessment (SGA) and scored Patient Generated Subjective Global Assessment (PG-SGA) were used to assess nutritional status. Body weight, standing or knee height, mid-arm circumference and waist circumference were measured.

Results

Nineteen (15%) of the participants were moderately malnourished (SGA-B). The median PG-SGA score of the SGA-B group was 8 (4–15), significantly higher than the SGA-A group, U = 1860.5, p<.05. The symptoms most influencing intake were loss of appetite, constipation, early satiety and problems swallowing.

Conclusions

As with other populations, malnutrition remains under-recognised and undiagnosed in people with Parkinson’s disease. Regular screening of nutritional status in people with Parkinson’s disease by health professionals with whom they have regular contact should occur to identify those who may benefit from further nutrition assessment and intervention.

Circulating TNF alpha receptor levels identify older adults who fail to regain weight after acute weight loss

OBJECTIVE

Some healthy older adults have difficulty regaining weight after acute weight loss, and the reason for this failure to regain weight is unknown. The objective of this study was to determine if elevated leptin or pro-inflammatory cytokine levels are associated with failure to regain weight over two years after an acute weight loss intervention.

DESIGN

Two year prospective study after an acute weight loss intervention.

SETTING

University of Washington Medical Center from 2001-2006.

PARTICIPANTS

Nineteen older (≥ 70 years old) men and women.

MEASUREMENTS

Body weights, health status questionnaire, body composition data, serum leptin, glucose, insulin, C- reactive protein and pro-inflammatory cytokine levels were measured every six months for two years.

RESULTS

Five subjects out of 19 failed to regain weight after two years. The subjects who failed to regain weight after 2 years had higher circulating levels of tumor necrosis factor receptor particle 55 (TNFRp55) at baseline and at 6, 12, 18 and 24 months of follow up compared to subjects who regained weight after 2 years (P = 0.02 ).

CONCLUSION

Five out of 19 older subjects had difficulty regaining weight for up to 2 years following an acute weight loss intervention, and their TNFRp55 levels were persistently higher than in subjects who regained weight. Greater TNF α action, as reflected by higher circulating levels of TNFRp55, could be contributing towards inability of some older persons to regain weight after acute weight loss.

Weight loss and regain and effects on body composition: the Health, Aging, and Body Composition Study

BACKGROUND

Older adults are less able to conserve lean mass relative to fat mass with weight change. A cycle of weight loss and regain in an older individual could accelerate sarcopenia. We examined whether older adults experiencing weight loss and regain would show a greater loss of lean mass during a weight-loss period than gain in lean mass during the weight-regain period, thus have overall a greater net loss of lean mass compared with those who maintained weight in the Health, Aging, and Body Composition Study.

METHODS

We compared the body composition change in 147 older weight changers (54% women, 38% black) with the gender- and race-matched weight-stable individuals over the weight-cycling period. A weight cycle was defined as weight loss of 3% or more with regain of within +/-3% of baseline weight for a period of 2 years.

RESULTS

Both men and women showed significantly lower total body mass after the weight loss and regain. Proportionally, more lean mass was lost during the weight-loss period than was gained during the weight-regain period, especially in men. After weight regain, men showed only a slightly lower lean mass than the stable group, and this was not statistically significant, although the failure to fully regain total weight explained most of the deficit in lean mass after the weight cycle.

CONCLUSION

These data suggest that weight loss even with regain may contribute to a net loss of lean mass in older men but warrant further studies.

Nutritional risk and low weight in community-living older adults: a review of the literature (1995-2005)

Although many studies have examined weight loss and low weight in institutionalized persons, there has been little research exploring the community-living older adult's nutritional risk. The purpose of this literature review (1995-2005) is to describe our current understanding of nutritional risk and low weight in community-living older adults 65 years old and older. Computerized database searches and footnote reviews were used to find published studies on nutritional risk and low weight. Twenty-two research articles are reviewed and summarized. Each study was reviewed according to preset criteria.