1.Using the sequenced sample cluster analysis to study the body mass index distribution characteristics of adults in different age groups and genders.
Y N CAI ; X T PEI ; P P SUN ; Y P XU ; L LIU ; Z G PING
Chinese Journal of Epidemiology 2018;39(6):821-825
Objective: To explore the characteristics of distribution on Chinese adult body mass index (BMI) in different age groups and genders and to provide reference related to obesity and related chronic diseases. Methods: Data from the China Health and Nutrition Survey in 2009 were used. Sequential sample cluster method was used to analyze the characteristics of BMI distribution in different age groups and genders by SAS. Results: Our results showed that the adult BMI in China should be divided into 3 groups according to their age, as 20 to 40 years old, 40 to 65 years old, and> 65 years old, in females or in total when grouped by difference of 5 years. For groupings in male, the three groups should be as 20 to 40, 40 to 60 years old and>60 years old. There were differences on distribution between the male and female groups. When grouped by difference of 10 years, all of the clusters for male, female and total groups as 20-40, 40-60 and>60 years old, became similar for the three classes, respectively, with no differences of distribution between gender, suggesting that the 5-years grouping was more accurate than the 10-years one, and BMI showing gender differences. Conclusions: BMI of the Chinese adults should be divided into 3 categories according to the characteristics of their age. Our results showed that BMI was increasing with age in youths and adolescents, remained unchanged in the middle-aged but decreasing in the elderly.
Adolescent
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Adult
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Age Distribution
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Aged
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Asian People/statistics & numerical data*
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Body Mass Index
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China/epidemiology*
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Female
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Humans
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Male
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Middle Aged
;
Nutrition Surveys
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Obesity/ethnology*
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Sex Distribution
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Sex Factors
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Young Adult
2.Interaction of sex and diabetes in Asian patients with heart failure with mildly reduced left ventricular ejection fraction.
Julian C K TAY ; Shaw Yang CHIA ; David K L SIM ; Ping CHAI ; Seet Yoong LOH ; Aland K L SHUM ; Sheldon S G LEE ; Patrick Z Y LIM ; Jonathan YAP
Annals of the Academy of Medicine, Singapore 2022;51(8):473-482
INTRODUCTION:
The impact of sex and diabetes mellitus (DM) on patients with heart failure with mildly reduced ejection fraction (HFmrEF) is not well elucidated. This study aims to evaluate sex differences in the clinical profile and outcomes in Asian HFmrEF patients with and without DM.
METHODS:
Patients admitted nationally for HFmrEF (ejection fraction 40-49%) between 2008 and 2014 were included and followed up until December 2016. The primary outcome was all-cause mortality. Secondary outcomes included cardiovascular (CV) death and/or heart failure (HF) rehospitalisations.
RESULTS:
A total of 2,272 HFmrEF patients (56% male) were included. More women had DM than men (60% versus 55%, P=0.013). Regardless of DM status, HFmrEF females were older, less likely to smoke, had less coronary artery disease, narrower QRS and lower haemoglobin compared to men. The odds of having DM decreases in smokers who are women as opposed to men (Pinteraction =0.017). In multivariate analysis, DM reached statistical analysis for all-cause mortality and combined CV mortality or HF rehospitalisation in both men and women. However, the results suggest that there may be sex differences in terms of outcomes. DM (vs non-DM) was less strongly associated with increased all-cause mortality (adjusted hazards ratio [adj HR] 1.234 vs adj HR 1.290, Pinteraction <0.001] but more strongly associated with the combined CV death/HF rehospitalisation (adj HR 1.429 vs adj HR 1.317, Pinteraction =0.027) in women (vs men).
CONCLUSION
Asian women with HFmrEF had a higher prevalence of DM, with differences in clinical characteristics, compared to men. While diabetes conferred poor outcomes regardless of sex, there were distinct sex differences. These highlight the need for sex-specific management strategies.
Diabetes Mellitus/epidemiology*
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Female
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Heart Failure
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Humans
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Male
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Prognosis
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Stroke Volume
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Ventricular Dysfunction, Left/epidemiology*
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Ventricular Function, Left