scholarly journals Changes in body mass index, leptin and adiponectin in Japanese children during a three-year follow-up period: a population-based cohort study

2009 ◽  
Vol 8 (1) ◽  
pp. 30 ◽  
Author(s):  
Rimei Nishimura ◽  
Hironari Sano ◽  
Toru Matsudaira ◽  
Aya Morimoto ◽  
Yumi Miyashita ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
Population Based ◽  
Japanese Children

scholarly journals Body mass index and risk of COVID-19 diagnosis, hospitalisation, and death: a cohort study of 2 524 926 Catalans

2021 ◽  
Author(s):  
Martina Recalde ◽  
Andrea Pistillo ◽  
Sergio Fernandez-Bertolin ◽  
Elena Roel ◽  
Maria Aragon ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
Potential Effect ◽  
Population Based ◽  
Risk Of Death ◽  
Hazard Ratios ◽  
Catalan Population ◽  
Wide Testing

Abstract Context A comprehensive understanding of the association between body mass index (BMI) and COVID-19 is still lacking. Objective To investigate associations between BMI and risk of COVID-19 diagnosis, hospitalisation with COVID-19, and death after a COVID-19 diagnosis or hospitalisation (subsequent death), accounting for potential effect modification by age and sex. Design Population-based cohort study. Setting Primary care records covering >80% of the Catalan population, linked to region-wide testing, hospital, and mortality records from March to May 2020. Participants Adults (≥18 years) with at least one measurement of weight and height. Main outcome measures Hazard ratios (HR) for each outcome. Results We included 2 524 926 participants. After 67 days of follow-up, 57 443 individuals were diagnosed with COVID-19, 10 862 were hospitalised with COVID-19, and 2467 had a subsequent death. BMI was positively associated with being diagnosed and hospitalised with COVID-19. Compared to a BMI of 22kg/m 2, the HR (95%CI) of a BMI of 31kg/m 2 was 1.22 (1.19-1.24) for diagnosis, and 1.88 (1.75-2.03) and 2.01 (1.86-2.18) for hospitalisation without and with a prior outpatient diagnosis, respectively. The association between BMI and subsequent death was J-shaped, with a modestly higher risk of death among individuals with BMIs ≤19kg/m 2 and a more pronounced increasing risk for BMIs ≥40kg/m 2. The increase in risk for COVID-19 outcomes was particularly pronounced among younger patients. Conclusions There is a monotonic association between BMI and COVID-19 diagnosis and hospitalisation risks, but a J-shaped one with mortality. More research is needed to unravel the mechanisms underlying these relationships.

scholarly journals Body-mass index and long-term risk of sepsis-related mortality: a population-based cohort study of 0.5 million Chinese adults

Critical Care ◽  
2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Li Weng ◽  
Junning Fan ◽  
Canqing Yu ◽  
Yu Guo ◽  
Zheng Bian ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
Population Based ◽  
Chinese Adults ◽  
Related Mortality

scholarly journals Falls and Depression in Men: A Population-Based Study

2015 ◽  
Vol 12 (1) ◽  
pp. 14-18 ◽  
Author(s):  
Amanda L. Stuart ◽  
Julie A. Pasco ◽  
Felice N. Jacka ◽  
Michael Berk ◽  
Lana J. Williams
Keyword(s):  
Body Mass Index ◽  
Drug Use ◽  
Body Mass ◽  
Psychotropic Drug ◽  
Smoking Status ◽  
The Elderly ◽  
Population Based ◽  
Psychotropic Drug Use ◽  
Geelong Osteoporosis Study

The link between falls and depression has been researched in the elderly; however, little information is available on this association in younger adults, particularly men. This study sought to investigate the link between major depressive disorder (MDD) and falls in a population-based sample of 952 men (24-97 years). MDD was diagnosed utilizing the Structured Clinical Interview for DSM-IV-TR Research Version, Non-Patient edition, and categorized as 12-month/past/never. Body mass index and gait were measured; falls, smoking status, psychotropic medication use, and alcohol intake were self-reported as part of the Geelong Osteoporosis Study 5-year follow-up assessment. Thirty-four (3.6%) men met criteria for 12-month MDD, and 110 (11.6%) for past MDD. Of the 952 men, 175 (18.4%) reported falling at least once during the past 12 months. Fallers were older (66 [interquartile range: 48-79] vs. 59 [45-72] years, p = .001) and more likely to have uneven gait ( n = 16, 10% vs. n = 31, 4%, p = .003) than nonfallers. Participants with 12-month MDD had more than twice the odds of falling (age-adjusted odds ratio: 2.22, 95% confidence interval [1.03, 4.80]). The odds of falling were not associated with past depression ( p = .4). Further adjustments for psychotropic drug use, gait, body mass index, smoking status, blood pressure, and alcohol did not explain these associations. Given the 2.2-fold greater likelihood of falling associated with depression was not explained by age or psychotropic drug use, further research is warranted.

scholarly journals BODY MASS INDEX TRAJECTORY BEFORE DEATH IN COMMUNITY-DWELLING OLDER ADULTS. POPULATION-BASED COHORT STUDY

2021 ◽  
Author(s):  
Hari Venkatesh Pai ◽  
Martin C Gulliford
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
High Body Mass Index ◽  
Population Based ◽  
Community Dwelling ◽  
Housing Tenure ◽  
Age Related ◽  
Community Dwelling Older Adults

Background and objective: Both low and high body mass index (BMI) have been associated with greater mortality in older adults. This study evaluated the trajectory of BMI in the final years of life. Design: Population-based cohort study. Setting: Community-dwelling adults in the English Longitudinal Study of Ageing between 1998 and 2012. Measurements: Body mass index, years before death and all-cause mortality. Analyses were adjusted for age, gender, educational level, housing tenure and social class. Results: Data were analysed for 16,924 participants with 31,857 BMI records; mean age at study start, 61.6 (SD 10.9) years; mean BMI, 27.5 (4.7) Kg/m2. There were 3,686 participants (4,794 BMI records) who died and 13,238 participants (27,063 BMI records) who were alive at last follow-up. Mean BMI increased with age to 60-69 years but then declined, but the age-related decline was more rapid in decedents. At ages 80-89 years, mean BMI in decedents was 26.1 (4.7) compared with 27.1 (4.4) Kg/m2 in survivors. After adjusting for age and covariates, mean BMI declined in the five years before death. From 9 to 5 years before death or end of study, adjusted mean BMI was 0.51 (95% confidence interval 0.24 to 0.78) Kg/m2 lower for decedents than survivors; and from four to zero years before death, 1.55 (1.26 to 1.84) Kg/m2 lower in decedents. Conclusions: In community-dwelling older adults, mean body mass index enters an accelerating decline during five years before death. Reverse causation may account for the association of lower BMI with mortality.

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