scholarly journals Age-associated changes in hypothalamic–pituitary–testicular function in middle-aged and older men are modified by weight change and lifestyle factors: longitudinal results from the European Male Ageing Study

2013 ◽  
Vol 168 (3) ◽  
pp. 445-455 ◽  
Author(s):  
E M Camacho ◽  
I T Huhtaniemi ◽  
T W O'Neill ◽  
J D Finn ◽  
S R Pye ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Lifestyle Factors ◽  
Community Dwelling ◽  
Sex Hormone Binding Globulin ◽  
Curvilinear Relationship ◽  
Lifestyle Modifications ◽  
Age Related ◽  
Hpt Axis

ObjectiveHealth and lifestyle factors are associated with variations in serum testosterone levels in ageing men. However, it remains unclear how age-related changes in testosterone may be attenuated by lifestyle modifications. The objective was to investigate the longitudinal relationships between changes in health and lifestyle factors with changes in hormones of the reproductive endocrine axis in ageing men.DesignA longitudinal survey of 2736 community-dwelling men aged 40–79 years at baseline recruited from eight centres across Europe. Follow-up assessment occurred mean (±s.d.) 4.4±0.3 years later.ResultsPaired testosterone results were available for 2395 men. Mean (±s.d.) annualised hormone changes were as follows: testosterone −0.1±0.95 nmol/l; free testosterone (FT) −3.83±16.8 pmol/l; sex hormone-binding globulin (SHBG) 0.56±2.5 nmol/l and LH 0.08±0.57 U/l. Weight loss was associated with a proportional increase, and weight gain a proportional decrease, in testosterone and SHBG. FT showed a curvilinear relationship to weight change; only those who gained or lost ≥15% of weight showed a significant change (in the same direction as testosterone). Smoking cessation was associated with a greater decline in testosterone than being a non-smoker, which was unrelated to weight change. Changes in number of comorbid conditions or physical activity were not associated with significant alterations in hypothalamic–pituitary–testicular (HPT) axis function.ConclusionsBody weight and lifestyle factors influence HPT axis function in ageing. Weight loss was associated with a rise, and weight gain a fall, in testosterone, FT and SHBG. Weight management appears to be important in maintaining circulating testosterone in ageing men, and obesity-associated changes in HPT axis hormones are reversible following weight reduction.

scholarly journals Depression-related weight change and incident diabetes in a community sample

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eva Graham ◽  
Tristan Watson ◽  
Sonya S. Deschênes ◽  
Kristian B. Filion ◽  
Mélanie Henderson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Short Form ◽  
Community Sample ◽  
Overweight And Obesity ◽  
Community Dwelling ◽  
Increased Risk

AbstractThis cohort study aimed to compare the incidence of type 2 diabetes in adults with depression-related weight gain, depression-related weight loss, depression with no weight change, and no depression. The study sample included 59,315 community-dwelling adults in Ontario, Canada. Depression-related weight change in the past 12 months was measured using the Composite International Diagnostic Interview—Short Form. Participants were followed for up to 20 years using administrative health data. Cox proportional hazards models compared the incidence of type 2 diabetes in adults with depression-related weight change and in adults with no depression. Adults with depression-related weight gain had an increased risk of type 2 diabetes compared to adults no depression (HR 1.70, 95% CI 1.32–2.20), adults with depression-related weight loss (HR 1.62, 95% CI 1.09–2.42), and adults with depression with no weight change (HR 1.39, 95% CI 1.03–1.86). Adults with depression with no weight change also had an increased risk of type 2 diabetes compared to those with no depression (HR 1.23, 95% CI 1.04–1.45). Associations were stronger among women and persisted after adjusting for attained overweight and obesity. Identifying symptoms of weight change in depression may aid in identifying adults at higher risk of type 2 diabetes and in developing tailored prevention strategies.

scholarly journals Age-Related Difference in Weight Change and All-Cause Mortality in Middle-Aged and Older Korean Populations: Korean Longitudinal Study of Aging

2021 ◽  
Vol 42 (4) ◽  
pp. 297-302
Author(s):  
Jungki Suh ◽  
Yoon Jeong Cho ◽  
Hyun Ji Kim ◽  
Seong Soo Choi
Keyword(s):  
Older Adults ◽  
Weight Loss ◽  
Weight Gain ◽  
Longitudinal Study ◽  
Weight Change ◽  
Significant Risk ◽  
Middle Aged ◽  
Weight Losses ◽  
Age Related ◽  
All Cause Mortality

Background: Obesity is associated with increased mortality as a significant risk factor for chronic diseases, including cardiovascular diseases and cancer. Several people believe that weight gain is harmful, and weight loss helps maintain health. However, some studies have shown that weight loss, particularly among older adults, is more likely to increase the risk of mortality than weight gain.Methods: We used data for the cohort of the Korean Longitudinal Study of Aging, which is a nationwide stratified multi-stage sample of adults aged 45 years. The all-cause mortality risk was assessed using the survival status and the number of months of survival calculated from 2006 (baseline year) to 2016. Cox proportional hazard regression were used to study the causal link between weight change and all-cause mortality risk.Results: The results showed interactive associations between weight loss and mortality among middle-aged and older adults. The hazard ratio was 1.62 (95% confidence interval [CI], 1.10–2.40) for the participants aged 45–65 years with weight losses greater than 5 kg and 1.56 (95% CI, 1.29–1.89) for those older than 65 years with weight losses greater than 5 kg. The results for the group with weight gain above 5 kg were not significant. Middle-aged and older men showed an increase in all-cause mortality associated with weight loss of more than 5 kg, but only the older women showed significant results.Conclusion: This large-scale cohort study in Korea showed a relationship between weight loss and all-cause mortality in middle-aged and older individuals.

The Impacts of Weight Change and Weight Change Intention on Health-Related Quality of Life in the Korean Elderly

2018 ◽  
Vol 31 (7) ◽  
pp. 1106-1120 ◽  
Author(s):  
Eun Sun So
Keyword(s):  
Quality Of Life ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Community Dwelling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Korean Elderly

Objective: This study aimed to identify the impacts of weight change and weight change intention on health-related quality of life (HRQL) among community-dwelling Korean elderly individuals. Method: Data on those aged 75 years and above from the Korean National Health and Nutrition Examination Survey were analyzed using multiple regression analysis. Results: Compared with no weight change, unintentional weight loss was associated with significantly lower adjusted overall HRQL and lower scores in the subdimensions of mobility, pain/discomfort, usual activities, and self-care (in order), whereas intentional weight loss was associated with significantly poorer scores for anxiety/depression. Weight gain showed no statistically significant differences in comparison with no weight change. Discussion: These findings suggest that weight maintenance or weight gain should be recommended rather than weight loss, whether unintentional or intentional, regardless of weight status, to improve HRQL among the elderly.

scholarly journals The association of weight change and all-cause mortality in older adults: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Tagrid A Alharbi ◽  
Susan Paudel ◽  
Danijela Gasevic ◽  
Joanne Ryan ◽  
Rosanne Freak-Poli ◽  
...  
Keyword(s):  
Older Adults ◽  
Weight Loss ◽  
Weight Gain ◽  
Mortality Risk ◽  
Weight Change ◽  
Meta Analysis ◽  
Community Dwelling ◽  
Weight Fluctuation ◽  
All Cause Mortality ◽  
The Impact

Abstract Objective there may be age-related differences in the impact of weight change on health. This study systematically reviewed the evidence on the relationship between weight change and all-cause mortality in adults aged 65 years and older. Methods MEDLINE, EMBASE and CINAHL were searched from inception to 11 June 2020, PROSPERO CRD 42019142268. We included observational studies reporting on the association between weight change and all-cause mortality in older community-dwelling adults. A random-effects meta-analysis was performed to calculate pooled hazard ratios and scored based on the Agency for Healthcare Research and Quality guidelines. Results a total of 30 studies, including 1,219,279 participants with 69,255 deaths, demonstrated that weight loss was associated with a 59% increase in mortality risk (hazard ratio (HR): 1.59; 95% confidence interval (CI): 1.45–1.74; P < 0.001). Twenty-seven studies that reported outcomes for weight gain (1,210,116 participants with 65,481 deaths) indicated that weight gain was associated with a 10% increase in all-cause mortality (HR: 1.10; 95%CI: 1.02, 1.17; P = 0.01). Four studies investigated weight fluctuation (2,283 events among 6,901 participants), which was associated with a 63% increased mortality risk (HR: 1.66; 95%CI: 1.28, 2.15). No evidence of publication bias was observed (all P > 0.05). Conclusion for community-dwelling older adults, weight changes (weight loss, gain or weight fluctuation) are associated with an increased risk of all-cause mortality risk relative to stable weight. Further research is needed to determine whether these associations vary depending upon initial weight, and whether or not the weight loss/gain was intentional.

Abstract 13946: Sleep Problems on Simvastatin Differentially Predict Weight Change in Men

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Beatrice A Golomb ◽  
Hayley J Koslik ◽  
Alexis K Bui
Keyword(s):  
Young Adults ◽  
Weight Gain ◽  
Weight Change ◽  
Sleep Problems ◽  
Metabolic Effects ◽  
Muscle Loss ◽  
Relative Contribution ◽  
Age Related ◽  
Baseline Weight ◽  
Interaction Term

Background and Goal: Sleep problems were significantly increased on simvastatin ( simva ) (but not pravastatin) vs placebo in the UCSD Statin Study. Sleep problems on simva predicted glucose rise. Weight gain has also been reported as a statin side effect. We sought to capitalize on existing data to assess whether sleep problems on simva related to weight gain in men. Method: 442 men without known diabetes or CVD were randomized to simva 20mg or placebo for 6 mon. One hundred eighty and 186 completed single-item self-rating of change in sleep problems vs baseline ( Δslpprob ). Weight (lb) was measured at baseline and 6 mon. Missing 6 mon values were imputed. Analyses: A. Regressions stratified by treatment assessed prediction of weight change by Δslpprob, adjusted for baseline weight. B. Regressions assessed prediction of weight change by the interaction term of simva (vs placebo) x Δslpprob, adjusted for the components of the interaction and baseline weight. Since age-related muscle loss may complicate weight change in elderly; and young adults have low vulnerability to metabolic problems, analyses were repeated excluding these groups. Results: A. Increased sleep problems on simva predicted weight gain (significant), but on placebo predicted weight loss (nonsignificant). B. The Δslpprob x simva interaction term significantly predicted weight gain. When that was parceled out, simva, outside of the sleep relationship, negatively predicted weight change. Exclusion of young adults and elderly strengthened significance of findings (Table). Discussion: Sleep problems, which differentially arise on simva, differentially predict weight gain on simva. This expands the metabolic effects to which sleep problems on simva may contribute and might possibly favor mediation by sleep apnea (a reported complication of simva). Once the sleep problem effect is considered, simva use predicted weight loss . The relative contribution of fat vs muscle loss (vs other) requires exploration.

scholarly journals 607Longitudinal weight gain and lifestyle factors in women with and without polycystic ovary syndrome

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Mamaru Ayenew Awoke ◽  
Arul Earnest ◽  
Anju Joham ◽  
Allison Hodge ◽  
Wendy Brown ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Gain ◽  
Polycystic Ovary Syndrome ◽  
Energy Intake ◽  
Glycemic Index ◽  
Weight Change ◽  
Polycystic Ovary ◽  
Lifestyle Factors ◽  
Sitting Time ◽  
Ovary Syndrome

Abstract Background Women with polycystic ovary syndrome (PCOS) have a higher prevalence of overweight/obesity and greater weight gain than women without PCOS. The association of lifestyle factors with weight change in PCOS is not known. Methods We used data from the 1973-78 birth cohort of the Australian Longitudinal Study on Women’s Health collected from seven surveys over 19 years (N = 14127 survey 1). Linear mixed-effects models were used to examine associations between diet, physical activity, and sitting time with weight change, after adjustment for socio-demographics, psychological factors, and health care utilisation. Results Women with PCOS gained more weight annually (0·26 kg/year, 95% CI 0·13, 0·39; P < 0·0001) and over 19 years (4·75 kg; 95% CI 3·17, 6·34; P < 0·0001) than women without PCOS (adjusted analyses). For all women, there were positive associations between weight gain and energy intake, sitting time, and stress; inverse associations with fibre intake and physical activity; and no associations with diet quality, glycemic index, healthcare utilization, depression, or anxiety. There were interactions between lifestyle factors (energy intake P = 0·006, glycemic index P = 0·007, sitting time P = 0·029, and physical activity P = 0·022), PCOS status and time (age) such that weight gain varied between women with and without PCOS according to these factors. Conclusions Women with PCOS had a higher rate of weight gain than women without PCOS. This was most marked in those with indicators of unhealthy lifestyles. Increased stress, energy intake and sitting time and lower physical activity contributed to weight gain in women with and without PCOS. Key messages The findings reinforce the importance of early and ongoing lifestyle intervention and the potential use of specific lifestyle factors for weight gain prevention and management in PCOS.

Abstract 44: Cardiometabolic Responses to Weight Change are Different between Obese and Normal Weight Adults Who are Metabolically Healthy: The Atherosclerosis Risk in Communities Study

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Zhaohui Cui ◽  
Kimberly P Truesdale ◽  
Patrick T Bradshaw ◽  
Jianwen Cai ◽  
June Stevens
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Weight Maintenance ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Obese Adults ◽  
Metabolically Healthy

Introduction: The 2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults recommended weight loss for obese adults in order to reduce their cardiovascular disease (CVD) risk. However, not all obese adults develop CVD and approximately 17% of obese Americans in the 1999-2004 NHANES were metabolically healthy. The absence of abnormal CVD risk factors in this subgroup of obese adults indicates that some individuals are resistant to excess adiposity and positive energy balance, and raises the question of whether all obese adults should be recommended for weight loss treatment. We know of no study that has examined whether metabolically healthy obese (MHO) adults respond to weight changes the same way as metabolically healthy normal weight adults (MHNW). Also, no study has compared the effects of weight loss, weight maintenance and weight gain on CVD risk factors in MHO adults. Hypothesis: We hypothesized that the effects of weight change would be different in MHNW and MHO adults, with MHO adults having less stable risk factors, and that weight loss has a protective effect on CVD risk factors in the MHO compared to weight maintenance and weight gain. Methods: Data were from 2,710 MHO and MHNW participants in the Atherosclerosis Risk in Communities (ARIC) study. Four examinations yielded 4,541 observations over sequential 3-year intervals. Metabolically healthy was defined as absence of all components of metabolic syndrome, excluding waist circumference, at the beginning of a 3-year interval. Mixed effect models were applied to individually compare changes in five CVD risk factors (systolic blood pressure, diastolic blood pressure, triglycerides, high-density lipoprotein cholesterol and glucose) in MHO and MHNW adults within 3 weight change categories (<3% weight loss, weight maintenance (±3%) and >3% weight gain). Results: Weight loss was associated with small or no changes in the five CVD risk factors in both MHO and MHNW adults. Weight maintenance was associated with larger increases in MHO compared to MHNW adults in triglycerides (mean ± standard error: 10.0±1.7 vs. 6.5±1.0 mg/dL) and glucose (1.7±0.4 vs. 0.9±0.2 mg/dL). Weight gain was associated with larger increases in systolic (8.6±0.6 vs. 6.2±0.4 mmHg) and diastolic (3.9±0.4 vs. 2.5±0.3 mmHg) blood pressure, triglycerides (22.0±1.8 vs. 16.0±1.1 mg/dL) and glucose (4.9±0.4 vs. 1.9±0.3 mg/dL) among the MHO compared to the MHNW. MHO weight losers experienced more favorable changes in the five CVD risk factors compared to MHO weight maintainers (p<0.04) or gainers (p<0.0001). Conclusions: We showed that compared to MHNW, MHO adults experienced similar changes in CVD risk factors with weight loss and larger increases with weight maintenance and gain. Our study supports the 2013 Guideline that primary health care providers should recommend weight loss treatment for MHO patients.

scholarly journals Body Weight Variation Patterns as Predictors of Cognitive Decline over a 5 Year Follow-Up among Community-Dwelling Elderly (MAPT Study)

Nutrients ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1371
Author(s):  
Kelly Giudici ◽  
Sophie Guyonnet ◽  
Yves Rolland ◽  
Bruno Vellas ◽  
Philipe de Souto Barreto ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Hippocampal Volume ◽  
Community Dwelling ◽  
First Year ◽  
Z Score ◽  
Weight Variation ◽  
Variation Patterns

This study aimed to analyze associations between weight variation patterns and changes in cognitive function and hippocampal volume among non-demented, community-dwelling elderly. Sample was formed of 1394 adults >70 years (63.9% female), all volunteers from the Multidomain Alzheimer Preventive Trial (MAPT). Weight loss was defined as ≥5% of body weight decrease in the first year of follow-up; weight gain as ≥5% of weight increase; and stability if <5% weight variation. Cognition was examined by a Z-score combining four tests. Measures were assessed at baseline, 6, 12, 24, 36, 48, and 60 months of follow-up. Hippocampal volume was evaluated with magnetic resonance imaging in 349 subjects in the first year and at 36 months. Mixed models were performed. From the 1394 participants, 5.5% (n = 76) presented weight loss, and 9.0% (n = 125) presented weight gain. Cognitive Z-score decreased among all groups after 5 years, but decline was more pronounced among those who presented weight loss (adjusted between-group mean difference vs. stable: −0.24, 95%CI: −0.41 to −0.07; p = 0.006). After 3 years, hippocampal atrophy was observed among all groups, but no between-group differences were found. In conclusion, weight loss ≥5% in the first year predicted higher cognitive decline over a 5 year follow-up among community-dwelling elderly, independently of body mass index.

The weight change impact on metabolic syndrome: a 17-year follow-up study

Open Medicine ◽  
2011 ◽  
Vol 6 (6) ◽  
pp. 788-794 ◽  
Author(s):  
Magdalena Kwaśniewska ◽  
Dorota Kaleta ◽  
Anna Jegier ◽  
Tomasz Kostka ◽  
Elżbieta Dziankowska-Zaborszczyk ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Metabolic Risk ◽  
Adjusted Relative Risk ◽  
Prospective Longitudinal ◽  
The Impact

AbstractIntroduction: Data on long-term patterns of weight change in relation to the development of metabolic syndrome (MetS) are scarce. The aim of the study was to evaluate the impact of weight change on the risk of MetS in men. Material and Methods: Prospective longitudinal observation (17.9 ± 8.1 years) of apparently healthy 324 men aged 18–64 years. Metabolic risk was assessed in weight gain (⩾ 2.5 kg), stable weight (> −2.5 kg and < 2.5 kg) and weight loss (⩽ −2.5 kg) groups. Adjusted relative risk (RR) of MetS was analyzed using multivariate logistic regression. Results: The prevalence of MetS over follow-up was 22.5%. There was a strong relationship between weight gain and worsening of MetS components among baseline overweight men. Long-term increase in weight was most strongly related with the risk of abdominal obesity (RR=7.26; 95% CI 2.98–18.98), regardless of baseline body mass index (BMI). Weight loss was protective against most metabolic disorders. Leisure-time physical activity (LTPA) with energy expenditure > 2000 metabolic equivalent/min/week was associated with a significantly lower risk of MetS. Conclusions: Reducing weight among overweight and maintaining stable weight among normal-weight men lower the risk of MetS. High LTPA level may additionally decrease the metabolic risk regardless of BMI.

Water content, weight change, and activity of apterous and alate virginoparous Acyrthosiphon pisum (Harris) (Homoptera: Aphididae)

1979 ◽  
Vol 57 (2) ◽  
pp. 363-367 ◽  
Author(s):  
P. A. MacKay ◽  
R. G. H. Downer
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Water Content ◽  
Water Loss ◽  
Weight Change ◽  
Acyrthosiphon Pisum ◽  
Live Weight ◽  
Mature Adults ◽  
Final Moult ◽  
Third Instar Larvae

Changes in weight, water content, and activity of alate and apterous virginoparous Acyrthosiphon pisum (Harris) were observed during development from third instar larvae to mature adults. Apterous aphids gained weight steadily until the 4th day of adulthood, and showed no dramatic changes in activity during this period. The live weights of alate aphids decreased during the 24 h immediately following the final moult, but increased gradually after this lime. The onset of weight loss occurred before the active nonfeeding period during which dispersal would normally lake place. Recommencement of weight gain followed the resumption of feeding. After the adult moult, the water content of alatae expressed as a percentage of live weight decreased for 24 h. whereas that of apterae remained constant. During the next 24 h, the water content of alatae increased to a level slightly below that of apterae. Thereafter, both morphs maintained a constant water content until about the 5th day, when a slight increase was evident. Eighty-five percent of the weight loss of adult alatae is attributable to water loss. It is suggested that dehydration of newly moulted adult alatae is an adaptation to facilitate dispersive flight.

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