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.

scholarly journals Does weight loss reduce the incidence of total knee and hip replacement for osteoarthritis?—A prospective cohort study among middle-aged and older adults with overweight or obesity

2021 ◽  
Author(s):  
Xingzhong Jin ◽  
Alice A. Gibson ◽  
Joanne Gale ◽  
Francisco Schneuer ◽  
Ding Ding ◽  
...  
Keyword(s):  
Older Adults ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Hip Replacement ◽  
Baseline Body Mass Index ◽  
Middle Aged ◽  
Increased Risk ◽  
Total Knee ◽  
Overweight Or Obesity

Abstract Objective This study aims to investigate the association between weight change and total knee or hip replacement (TKR or THR) for OA among middle-aged and older adults with overweight or obesity. Method Weight data were collected in 2006–2009 and in 2010 from the 45 and Up Study—a population-based cohort aged ≥45 years in New South Wales, Australia. Participants were included if they had a baseline body mass index (BMI) ≥ 25 kg/m2 and no history of TKR or THR. Weight change was categorised into four groups: >7.5% loss; >5–7.5% loss; stable (≤5% change) and >5% gain. Hospital admission data were linked to identify TKR and THR for OA, and multivariable Cox regression was used to assess risk of TKR and THR. Results Of 23,916 participants, 2139 lost >7.5% weight, 1655 lost 5–7.5% weight, and 4430 gained >5% weight. Over 5.2 years, 1009 (4.2%) underwent TKR and 483 (2.0%) THR. Compared to weight-stable, weight loss of >7.5% was associated with reduced risk of TKR after adjusting for age, sex, BMI, socioeconomic and lifestyle factors (hazard ratio 0.69, 95%CI 0.54–0.87), but had no association with THR. Weight loss of 5–7.5% was not associated with altered risk of either TKR or THR. Weight gain was associated with increased risk of THR after adjusting for confounders, but not TKR. Conclusion This study suggests that a weight loss target >7.5% is required to reduce the risk of TKR in adults with overweight or obesity. Weight gain should be avoided as it increases the risk of THR.

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.

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 Risk factors for depression during the COVID-19 pandemic: a longitudinal study in middle-aged and older adults

BJPsych Open ◽  
2021 ◽  
Vol 7 (5) ◽  
Author(s):  
Jamie Rutland-Lawes ◽  
Anna-Stiina Wallinheimo ◽  
Simon L. Evans
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Longitudinal Study ◽  
Regression Models ◽  
Protective Factor ◽  
Significant Risk ◽  
Living Alone ◽  
Depression Symptoms ◽  
Middle Aged ◽  
Increased Risk

Background The COVID-19 pandemic and resultant social restrictions have had widespread psychological ramifications, including a rise in depression prevalence. However, longitudinal studies on sociodemographic risk factors are lacking. Aims To quantify longitudinal changes in depression symptoms during the pandemic compared with a pre-pandemic baseline, in middle-aged and older adults, and identify the risk factors contributing to this. Method A total of 5331 participants aged ≥50 years were drawn from the English Longitudinal Study of Ageing. Self-reported depression symptoms in June/July 2020 were compared with baseline data from 2–3 years prior. Regression models investigated sociodemographic and lifestyle variables that could explain variance in change in depression. Results Within-participant depression scores increased significantly from pre-pandemic levels: 14% met the criteria for clinical depression at baseline, compared with 26% during the pandemic. Younger age, female gender, higher depression scores at baseline, living alone and having a long-standing illness were significant risk factors. Gender-stratified regression models indicated that older age was protective for women only, whereas urban living increased risk among women only. Being an alcohol consumer was a protective factor among men only. Conclusions Depression in UK adults aged ≥50 years increased significantly during the pandemic. Being female, living alone and having a long-standing illness were prominent risk factors. Younger women living in urban areas were at particularly high risk, suggesting such individuals should be prioritised for support. Findings are also informative for future risk stratification and intervention strategies, particularly if social restrictions are reimposed as the COVID-19 crisis continues to unfold.

scholarly journals REPORTED WEIGHT CHANGE IN OLDER ADULTS AND PRESENCE OF FRAILTY

2019 ◽  
pp. 1-8
Author(s):  
R.S. Crow ◽  
C.L. Petersen ◽  
S.B. Cook ◽  
C.J. Stevens ◽  
A.J. Titus ◽  
...  
Keyword(s):  
Older Adults ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Primary Outcome ◽  
Weight Changes ◽  
Health And Nutrition ◽  
The Impact ◽  
Current Weight ◽  
Time Point

Objective: A 5% change in weight is a significant predictor for frailty and obesity. We ascertained how self-reported weight change over the lifespan impacts rates of frailty in older adults. Methods: We identified 4,984 subjects ≥60 years with body composition measures from the National Health and Nutrition Examination Survey. An adapted version of Fried’s frailty criteria was used as the primary outcome. Self-reported weight was assessed at time current,1 and 10 years earlier and at age 25. Weight changes between each time point were categorized as ≥ 5%, ≤5% or neutral. Logistic regression assessed the impact of weight change on the outcome of frailty. Results: Among 4,984 participants, 56.5% were female, mean age was 71.1 years, and mean BMI was 28.2kg/m2. A weight loss of ≥ 5% had a higher association with frailty compared to current weight, age 25 (OR 2.94 [1.72,5.02]), 10 years ago (OR 1.68 [1.05,2.69]), and 1 year ago (OR 1.55 [1.02,2.36]). Weight gain in the last year was associated with increased rate of frailty (1.59 [1.09,2.32]). Conclusion: There is an association between frailty and reported weight loss over time while only weight gain in the last year has an association with frailty.

scholarly journals Weight Change and Mortality Risk in Heart Failure With Preserved Ejection Fraction

2021 ◽  
Vol 8 ◽  
Author(s):  
Peisen Huang ◽  
Zejun Guo ◽  
Weihao Liang ◽  
Yuzhong Wu ◽  
Jingjing Zhao ◽  
...  
Keyword(s):  
Heart Failure ◽  
Weight Loss ◽  
Weight Gain ◽  
Ejection Fraction ◽  
Mortality Risk ◽  
Weight Change ◽  
Preserved Ejection Fraction ◽  
Clinical Trial Registration ◽  
Risk Of Mortality ◽  
All Cause Mortality

Aims: The aim of the study was to determine the associations of weight loss or gain with all-cause mortality risk in heart failure with preserved ejection fraction (HFpEF).Methods and Results: Non-lean patients from the Americas from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist study were analyzed (n = 1,515). Weight loss and weight gain were defined as a decrease or increase in weight ≥5% between baseline and 1 year. To determine the associations of weight change and mortality risk, we used adjusted Cox proportional hazards models and restricted cubic spline models. The mean age was 71.5 (9.6) years. Weight loss and gain were witnessed in 19.3 and 15.9% patients, respectively. After multivariable adjustment, weight loss was associated with higher risk of mortality (HR 1.42, 95% CI 1.06–1.89, P = 0.002); weight gain had similar risk of mortality (HR 0.98, 95% CI 0.68–1.42, P = 0.932) compared with weight stability. There was linear relationship between weight change and mortality risk. The association of weight loss and mortality was different for patients with and without diabetes mellitus (interaction p = 0.009).Conclusion: Among patients with HFpEF, weight loss was independently associated with higher risk of all-cause mortality, and weight gain was not associated with better survival.Clinical Trial Registration:https://clinicaltrials.gov, Identifier: NCT00094302.

scholarly journals Age-Related Differences of Rumination on the Loneliness-Depression Relationship: Evidence from a Population-Representative Cohort

2021 ◽  
Author(s):  
Horace Tong ◽  
Wai Kai Hou ◽  
Li Liang ◽  
Tsz Wai Li ◽  
Huinan Liu ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Age Groups ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Middle Aged ◽  
Cross Sectional ◽  
Age Related ◽  
Affective Symptoms ◽  
Middle Aged Adults

Abstract Background and Objective This study examined the association of loneliness with depressive symptoms across various age groups. Loneliness is a significant risk factor for precipitating depressive symptoms. Rumination, a mechanism that underpins depression, can become intense when a person feels lonely. In addition, age is a major factor associated with changes in mental and physical health. Thus, the importance of rumination and age in moderating the loneliness–depression link were investigated. Research Design and Methods This cross-sectional study was conducted during the acute phase of the COVID-19 pandemic in Hong Kong (February 27 to March 17, 2020). A population-representative sample of 2,018 people (1,126 females; 15–92 years of age) was recruited and interviewed via telephone through random digit dialling. This sample included 394 younger adults (18–30 years), 1,106 middle-aged adults (31–64 years), and 472 older adults (65 years or above). Respondents reported depressive symptoms, subjective loneliness, state rumination, and sociodemographic factors. Results Loneliness and rumination were positively associated with depressive symptoms, and they significantly interacted in predicting cognitive-affective symptoms. Further analysis of age showed that the interaction was only significant only in middle-aged adults and older adults. Both rumination and age interacted with loneliness respectively in predicting cognitive-affective symptoms. Discussion and Implications These findings indicate that the strength of the association between loneliness and the cognitive-affective symptoms of depression depends on rumination levels and age. An intervention to regulate rumination offers a feasible direction for health care and social care aimed at improving older adults’ mental health.

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.

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