516Association of dietary diversity with all-cause mortality by body mass index in Japanese older adults

Abstract Background Dietary diversity is thought to reduce risk of malnutrition although it is also linked to obesity. We examined whether dietary diversity is associated with all-cause mortality in Japanese elderly by body mass index (BMI). Methods The current study included 2,944 people aged 64-65 years who participated in the NISSIN project in 1996-2005. Dietary diversity was measured by the Food Variety Score (FVS) which calculates frequency of all food items consumed daily using a self-administered food frequency questionnaire. Participants were divided into tertiles according to their FVS (1st: low, 2nd: middle, 3rd: high). Multivariate adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using the Cox proportional hazard regression model. In stratified analysis, BMI was used to divide the participants into 3 groups: lean (BMI <20), normal (BMI 20–24.9), and overweight/obese (BMI ≥ 25). Results Overall, 454 (30.7%) men and 222 (15.2%) women died over the median follow-up period of 16.6 years. No significant association between FVS and all-cause mortality was observed overall. However, when grouped by BMI, in the lean, multivariate adjusted HRs were 0.32 (CI: 0.17-0.59) in the middle FVS and 0.41 (CI: 0.19 -0.91) in the high FVS, compared with the low FVS. No significant association was found for normal and overweight/obese. Conclusions These findings indicate dietary diversity should be promoted for lean older adults. Key messages BMI should be considered when promoting dietary diversity.

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Body mass index and all‐cause mortality in older adults: A scoping review of observational studies

Obesity Reviews ◽

10.1111/obr.13035 ◽

2020 ◽

Vol 21 (8) ◽

Cited By ~ 3

Author(s):

Ayesha A. Javed ◽

Rumaisa Aljied ◽

David J. Allison ◽

Laura N. Anderson ◽

Jinhui Ma ◽

...

Keyword(s):

Older Adults ◽

Body Mass Index ◽

Body Mass ◽

Scoping Review ◽

Observational Studies ◽

All Cause Mortality

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Neighborhood food environment and body mass index among Japanese older adults: results from the Aichi Gerontological Evaluation Study (AGES)

International Journal of Health Geographics ◽

10.1186/1476-072x-10-43 ◽

2011 ◽

Vol 10 (1) ◽

pp. 43 ◽

Cited By ~ 29

Author(s):

Tomoya Hanibuchi ◽

Katsunori Kondo ◽

Tomoki Nakaya ◽

Miyo Nakade ◽

Toshiyuki Ojima ◽

...

Keyword(s):

Older Adults ◽

Body Mass Index ◽

Body Mass ◽

Food Environment ◽

Evaluation Study ◽

Neighborhood Food Environment ◽

Japanese Older Adults

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Impact of Body Mass Index and Metabolic Health Status on All‐Cause Mortality Risk among Older Adults

The FASEB Journal ◽

10.1096/fasebj.30.1_supplement.417.1 ◽

2016 ◽

Vol 30 (S1) ◽

Author(s):

Feon W. Cheng ◽

Xiang Gao ◽

Diane C. Mitchell ◽

Craig Wood ◽

Christopher Still ◽

...

Keyword(s):

Older Adults ◽

Body Mass Index ◽

Health Status ◽

Body Mass ◽

Mortality Risk ◽

Metabolic Health ◽

All Cause Mortality

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Body mass index, functional disability and all‐cause mortality in 330 000 older adults: The S hizuoka study

Geriatrics and Gerontology International ◽

10.1111/ggi.14286 ◽

2021 ◽

Author(s):

Yasuharu Tabara ◽

Eiji Nakatani ◽

Yoshiki Miyachi

Keyword(s):

Older Adults ◽

Body Mass Index ◽

Body Mass ◽

Functional Disability ◽

All Cause Mortality

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Effects of Initial Body Mass Index and Weight Change on All-Cause Mortality: A 10-Year Cohort Study in Korea

Asia Pacific Journal of Public Health ◽

10.1177/1010539518756981 ◽

2018 ◽

Vol 30 (3) ◽

pp. 217-226 ◽

Cited By ~ 4

Author(s):

Susan Park ◽

Sunmi Pi ◽

Jinseub Hwang ◽

Jae-Heon Kang ◽

Jin-Won Kwon

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Weight Change ◽

Baseline Body Mass Index ◽

Healthy Weight ◽

Risk Of Death ◽

Hazard Ratios ◽

Increased Risk ◽

All Cause Mortality ◽

Baseline Bmi

We evaluated the effects of baseline body mass index (BMI) and its changes over 4 years on all-cause mortality in Korean population. We analyzed 351 735 participants whose BMI was measured in both 2002/2003 and 2006/2007. Mortality was assessed until 2013. Multivariate hazard ratios for all-cause mortality were estimated. Underweight and severe obesity with BMI >30 kg/m2 were significantly associated with higher mortality. Similarly, >5% decrease or >10% increase of BMI for 4 years was associated with the increased risk of death. Comparing the results between baseline BMI and BMI change, the BMI change showed more stable associations with mortality than the baseline BMI in subgroup analysis such as nonsmokers and healthy participants. This study suggests that BMI change could be a useful health indicator along with obesity level by BMI. In addition, maintaining a healthy weight is needed for longevity, but rapid weight change should be carefully monitored.

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Interactions between C-reactive protein and traditional risk factors in predicting mortality of older adults

VASA ◽

10.1024/0301-1526/a000599 ◽

2017 ◽

Vol 46 (2) ◽

pp. 127-133 ◽

Cited By ~ 3

Author(s):

Henrik Rudolf ◽

Naemi Wall ◽

Renate Klaassen-Mielke ◽

Ulrich Thiem ◽

Curt Diehm ◽

...

Keyword(s):

Risk Factors ◽

Blood Pressure ◽

Older Adults ◽

Body Mass Index ◽

Body Mass ◽

Hazard Ratio ◽

C Reactive Protein ◽

Reactive Protein ◽

All Cause Mortality ◽

High Level

Abstract. Background: Elevated levels of C-reactive protein (CRP) are known to be associated with cardiovascular (CV) morbidity and mortality in older adults, however, there seems to be heterogeneity of this association across subsets of individuals. We aim to assess the effects of interactions between CRP and one of the following traditional CV risk factors regarding all-cause mortality in unselected elderly men and women: age, sex, body mass index, diabetes, and hypertension. Patients and methods: Three hundred and forty-four general practitioners all over Germany enrolled 6,817 unselected participants, aged 65 years or older, and performed thorough examinations, including CRP measurement at baseline (getABI study). All-cause mortality was determined in the following seven years. Cox regression analyses were done using uni- and multivariable models. Results: At baseline 4,172 participants of this cohort had a CRP value of ≤ 3 mg/L (low level CRP group), 2,645 participants had a CRP value of > 3 mg/L (high level CRP group). The unadjusted hazard ratio for all-cause death of the high level CRP group compared to the low level CRP group was 1.49 (95 % confidence interval [95 %CI] 1.34 to 1.66). After adjustment for sex, age, education, peripheral artery disease/media sclerosis, other prior vascular events, smoking status, diabetes, systolic blood pressure, antihypertensive medication, body mass index, cholesterol, and statin use, the hazard ratio was 1.34 (95 %CI 1.20 to 1.50). Significant interactions with CRP were found for sex (adjusted hazard ratio 1.38, 95 %CI 1.11 to 1.72), age (0.75, 95 %CI 0.60 to 0.94), and baseline systolic blood pressure (0.64, 95 % CI 0.51 to 0.81). The interactions of CRP with body mass index and of CRP with diabetes were not significant. Conclusions: In older German adults, there seem to be effect modifications by age, sex, and arterial hypertension regarding the effect of CRP in the prediction of all-cause mortality.

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Relationship between Body Mass Index Reference and All-Cause Mortality: Evidence from a Large Cohort of Thai Adults

Journal of Obesity ◽

10.1155/2014/708606 ◽

2014 ◽

Vol 2014 ◽

pp. 1-6 ◽

Cited By ~ 3

Author(s):

Vasoontara Yiengprugsawan ◽

Cathy Banwell ◽

Jiaying Zhao ◽

Sam-ang Seubsman ◽

Adrian C. Sleigh

Keyword(s):

Body Mass Index ◽

Confidence Intervals ◽

Body Mass ◽

Large Cohort ◽

Mortality Data ◽

Hazard Ratios ◽

All Cause Mortality ◽

Using Data ◽

Normal Adults

We investigate variation in body mass index (BMI) reference and 5-year all-cause mortality using data from 87151 adult Open University students nationwide. Analyses focused on BMI reference bands: “normal” (≥18.5 to <23), “lower normal” (≥18.5 to <20.75), “upper normal” (≥20.75 to <23), and “narrow Western normal” (≥23 to <25). We report hazard ratios (HR) and 95% Confidence Intervals adjusting for covariates. Compared to lower normal, adults aged 35–65 years who were obese (BMI ≥ 30) were twice as likely to die during the follow-up (HR 2.37; 1.01–5.70). For the same group, when using narrow Western normal as the reference, the results were similar (HR 3.02; 1.26–7.22). However, different combinations of BMI exposure and reference band produce quite different results. Older age persons belonging to Asian overweight BMI category (≥23 to <25) were relatively protected from mortality (HR 0.57; 0.34–0.96 and HR 0.49; 0.28–0.84) when assessed using normal (≥18.5 to <23) and upper normal (≥20.75 to <23) as reference bands. Use of different “normal” reference produced varying mortality relationships in a large cohort of Thai adults. Caution is needed when interpreting BMI-mortality data.

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A U-Shaped Relationship between the Prevalence of Frailty and Body Mass Index in Community-Dwelling Japanese Older Adults: The Kyoto–Kameoka Study

Journal of Clinical Medicine ◽

10.3390/jcm9051367 ◽

2020 ◽

Vol 9 (5) ◽

pp. 1367 ◽

Cited By ~ 4

Author(s):

Daiki Watanabe ◽

Tsukasa Yoshida ◽

Yuya Watanabe ◽

Yosuke Yamada ◽

Misaka Kimura

Keyword(s):

Older Adults ◽

Body Mass Index ◽

Body Mass ◽

Cross Sectional Study ◽

Community Dwelling ◽

Assessment Tools ◽

Cross Sectional ◽

Frailty Assessment ◽

Japanese Older Adults ◽

The Relationship

The relationship between body mass index (BMI) and frailty remains unclear. Using two validated frailty assessment tools, this study aimed to investigate the relationship between the prevalence of frailty and BMI in Japanese older adults. This cross-sectional study used baseline data of 7191 individuals aged ≥65 years, living in Kameoka City, Kyoto, Japan. The BMI was calculated based on self-reported height and body weight, and classified into six categories. Frailty was defined using two validated assessment tools, the Fried phenotype (FP) model and Kihon Checklist (KCL). We evaluated the relationship between frailty and BMI using a multivariate restricted cubic spline logistic regression. The prevalence of frailty defined using the FP model was 25.3%, 19.6%, 14.3%, 12.4%, 12.6%, and 19.4% for each BMI category of <18.5, 18.5–19.9, 20.0–22.4, 22.5–24.9, 25.0–27.4, and ≥27.5 kg/m2, respectively. The spline model showed a significant U-shaped relationship between BMI and the prevalence of frailty defined using both, KCL and FP models. This study found that the BMI range corresponding to lowest prevalence of frailty defined using both tools was 21.4–25.7 kg/m2. Thus, a healthy BMI may reduce the prevalence of frailty, and the risk of frailty needs to be evaluated in individuals who are underweight or overweight.

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