Body mass index trajectories preceding first report of poor self-rated health: a longitudinal case-control analysis of the English Longitudinal Study of Ageing:

Hulmán, Ádám; Ibsen, Daniel B; Laursen, Anne Sofie Dam; Dahm, Christina C.

doi:10.1101/405563

Cited by 4 publications

(8 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More than 38.9% of US adults have obesity [1] ; however, much of our understanding of the BMI-mortality association comes from single-time BMI measurement, without considering within-person variation over the long term. Since weight change is highly variable across adulthood, more studies are now focusing on BMI trajectories and different health outcomes [ 11 , 13 , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] , 32 ]. However, most of these studies were grouping people using growth curve model or group-based latent model [ 11 , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] ].…”

Section: Discussionmentioning

confidence: 99%

“…Although increasing number of studies have investigated the relationship of BMI trajectories and cardiovascular outcomes, most were assuming the population lies within a mixture of latent groups, using either growth curve model or group-based latent model [ 11 , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] ]. These models are largely based on subgroup means over a specific period of time and might be imprecise.…”

Section: Introductionmentioning

confidence: 99%

“…These models are largely based on subgroup means over a specific period of time and might be imprecise. Till now, there are at least 2 to 6 different BMI trajectory patterns being reported [ 11 , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] ], even using the same dataset [ 20 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Body mass index trajectories during mid to late life and risks of mortality and cardiovascular outcomes: Results from four prospective cohorts

Cheng

Chen

et al. 2021

EClinicalMedicine

View full text Add to dashboard Cite

Background Our understanding of the weight-outcome association mainly comes from single-time body mass index (BMI) measurement. However, data on long-term trajectories of within-person changes in BMI on diverse study outcomes are sparse. Therefore, t his study is to determine the associations of individual BMI trajectories and cardiovascular outcomes. Methods The present analysis was based on data from 4 large prospective cohorts and restricted to participants aged ≥45 years with at least two BMI measurements. Hazard ratios (HR) and 95% confidence intervals(95%CI) for each outcome according to different BMI trajectories were calculated in Cox regression models. Findings The final sample comprised 29,311 individuals (mean age 58.31 years, and 77.31% were white), with a median 4 BMI measurements used in this study. During a median follow-up of 21.16 years, there were a total of 10,192 major adverse cardiovascular events (MACE) and 11,589 deaths. A U-shaped relation was seen with all study outcomes. Compared with maintaining stable weight, the multivariate adjusted HR for MACE were 1.53 (95%CI 1.40–1.66), 1.26 (95%CI 1.16–1.37) and 1.08 (95%CI 1.02–1.15) respectively for rapid, moderate and slow weight loss; 1.01 (95%CI 0.95–1.07), 1.13 (95%CI 1.05–1.21) and 1.29 (95%CI 1.20–1.40) respectively for slow, moderate and rapid weight gain. Identical patterns of association were observed for all other outcomes. The development of BMI differed markedly between the outcome-free individuals and those who went on to experience adverse events, generally beginning to diverge 10 years before the occurrence of the events. Interpretation Our findings may signal an underlying high-risk population and inspire future studies on weight management. Funding National Natural Science Foundation of China, Guangdong Natural Science Foundation.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Body mass index trajectories during mid to late life and risks of mortality and cardiovascular outcomes: Results from four prospective cohorts

Cheng

Chen

et al. 2021

EClinicalMedicine

View full text Add to dashboard Cite

show abstract

“…The associations between underweight and poor SRH strengthened with age, whereas those between the high BMI and poor SRH attenuated with age. Hulman et al reported that the BMI trajectory of those who reported poor SRH had declined more than that of those not reporting poor SRH in subjects aged over 80 years [ 38 ]. Similar to this study, a large population-based cohort study of 3.6 million adults in the UK reported that the associations between BMI and mortality varied by age and those between high BMI and mortality attenuated with age [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

The relationship between body mass index and poor self-rated health in the South Korean population

et al. 2020

View full text Add to dashboard Cite

This study aimed to examine the association between body mass index (BMI) and self-rated health (SRH) in Korean adults. Methods The study included 214,997 adults who participated in the 2016 Korean Community Health Survey. Participants were categorized into four groups according to WHO Asian classification based on their BMI: underweight (<18.5 kg/m 2), normal-weight (18.5-22.9 kg/m 2), overweight (23.0-24.9 kg/m 2), obese (25.0-29.9 kg/m 2), and severely obese (�30.0 kg/m 2). Multivariate Poisson regression analysis with sampling weights and robust variance estimators was performed to evaluate the relationship between BMI categories and poor SRH. Results A J-shaped association was observed between BMI and poor SRH in both sexes. Compared to normal-weight subjects, the age, lifestyle, and comorbidities adjusted prevalence rate ratios (PRRs) in men for poor SRH were 1.73 (95% confidence interval [CI], 1.60-1.88) for underweight, 0.87 (95% CI, 0.83-0.92) for overweight, 0.98 (95% CI, 0.93-1.03) for obese, and 1.79 (95% CI, 1.63-1.97) for severely obese. In women, compared to normalweight subjects, the age, lifestyle, and comorbidities adjusted PRRs for poor SRH were 1.33

show abstract

“…Second, the relationship between underweight and LUTS may reflect reverse causation. Poor QoL leads to weight loss [30], and LUTS deteriorates several indicators of QoL, such as sleep quality, depression, mobility, and self-rated health [31].…”

Section: Discussionmentioning

confidence: 99%

Non-linear Relationship Between Body Mass Index and Lower Urinary Tract Symptoms in Korean Males

Choi

Kim

Jeong

et al. 2019

J Prev Med Public Health

View full text Add to dashboard Cite

Objectives: The purpose of this study was to evaluate the association between body mass index (BMI) and severe lower urinary tract symptoms (LUTS) in Korean males. Methods: This study was conducted on males aged ≥50 years who participated in the 2011 Korean Community Health Survey. LUTS severity was assessed using the Korean version of the International Prostate Symptom Score (IPSS) questionnaire, and was dichotomized as severe (IPSS >19) and non-severe (IPSS ≤19). BMI was divided into 6 categories: <18.5, 18.5-22.9, 23.0-24.9, 25.0-27.4, 27.5-29.9, and ≥30.0 kg/m 2 . To evaluate the relationship between BMI and LUTS, a survey-weighted multivariate Poisson regression analysis was performed to estimate prevalence rate ratios (PRRs). Age, smoking status, alcohol intake, physical activity, educational level, household income, and comorbidities were adjusted for in the multivariate model. Results: A U-shaped relationship was detected between BMI and severe LUTS. Compared with a BMI of 23.0-24.9 kg/m 2 , the PRR for a BMI <18.5 kg/m 2 was 1.65 (95% confidence interval [CI], 1.35 to 2.02), that for a BMI of 18.5-22.9 kg/m 2 was 1.25 (95% CI, 1.09 to 1.44), that for a BMI of 25.0-27.4 kg/m 2 was 1.20 (95% CI, 1.00 to 1.45), that for a BMI of 27.5-29.9 kg/m 2 was 1.11 (95% CI, 0.83 to 1.47), and that for a BMI ≥30.0 kg/m 2 was 1.85 (95% CI, 1.18 to 2.88). Conclusions: This study showed that both high and low BMI were associated with severe LUTS.

show abstract

Body mass index trajectories preceding first report of poor self-rated health: a longitudinal case-control analysis of the English Longitudinal Study of Ageing:

Cited by 4 publications

References 23 publications

Body mass index trajectories during mid to late life and risks of mortality and cardiovascular outcomes: Results from four prospective cohorts

Body mass index trajectories during mid to late life and risks of mortality and cardiovascular outcomes: Results from four prospective cohorts

The relationship between body mass index and poor self-rated health in the South Korean population

Non-linear Relationship Between Body Mass Index and Lower Urinary Tract Symptoms in Korean Males

Contact Info

Product

Resources

About