Sarcopenic obesity is associated with coffee intake in elderly Koreans

Abstract

This study assessed the association between sarcopenic obesity (S+O+) and coffee intake inelderly Koreans. This study obtained data from the Korea National Health and Nutrition Examination Survey (KNHANES, 2008–2011), a cross-sectional and nationally representative survey conducted by the Korean Centers for Disease Control and Prevention. Of the 2,661 participants included in this study, there was a significant difference between 5.861 (95% CI 2.024–16.971) in less than one cup of coffee, and 6.245 (95% CI 2.136–18.260) in one cup of coffee, and 4.323 (95% CI 1.457–12.824) in two cups of coffee compared to three or more than cups of coffee. In contrast, in the case of sarcopenia or obesity only (S+O- or S-O+), no significant difference was found in any model. The results suggest that the elderly who consume less than one cup of coffee per day had a greater risk of S+O+ than those who consume more than three cups per day. Furthermore, there was an association between coffee intake and sarcopenia but not with obesity. Therefore, coffee intake may have prevented musculoskeletal loss in these patients.

Sex-Specific Effects of Dietary Factors on Sarcopenic Obesity in Korean Elderly: A Nationwide Cross-Sectional Study

“…Fasting blood glucose was found to be highly associated with sarcopenic obesity in elderly Koreans aged 75–84 [ 29 ]. Our study results align with previous findings indicating elevated fasting blood glucose [ 24 , 25 ] and insulin levels, along with increased HOMA-IR [ 25 ], in obese elderly individuals with or without sarcopenia. Furthermore, in line with our study findings, prior research on the Korean elderly reported that HDL-cholesterol in elderly individuals with sarcopenic obesity was the lowest among the normal, sarcopenia, and sarcopenic obesity groups in both men [ 17 ] and women [ 25 ].…”

“…Thus, age-related sarcopenic obesity is an emerging concern in South Korea. Although there is an association between sarcopenic obesity and dietary factors in Korean older adults, the majority of these studies were based on analyses of the 2008–2011 KNHANES [ 18 , 19 , 23 , 24 , 25 ]. Moreover, subsequent research on sarcopenic obesity in the elderly and its association with dietary factors, based on an analysis of the 2016–2018 KNHANES, has been limited to studies investigating regional differences in the association between dietary quality and sarcopenic obesity [ 14 ] and examining the nutritional intake of elderly men and women with sarcopenic obesity [ 20 ].…”

Prevalence of sarcopenic obesity in the older non-hospitalized population: a systematic review and meta-analysis

“…Among them, 17 [ 6 , 9 , 13 , 15 , 20 – 32 ] were cohort studies, and 29 [ 7 – 8 , 10 , 14 , 17 , 33 – 56 ] were cross-sectional studies. Articles published in the last 3 years (post-2020) accounted for 28 [ 6 – 7 , 9 – 10 , 15 , 20 – 21 , 23 , 26 – 31 , 36 , 39 , 41 , 44 – 47 , 49 – 50 , 52 – 56 ] studies. The total number of participants included in this review was 71,757 from studies with sample sizes ranging from 64 [ 34 ] to 7,852 [ 6 ].…”

“…Most studies were of fair [ 6 , 8 , 10 , 2 – 13 , 16 , 19 , 25 – 26 , 29 , 31 , 32 , 35 – 37 , 42 , 48 , 51 – 53 ] or high [ 7 , 9 , 15 , 21 – 25 , 28 – 29 , 31 , 33 , 35 , 36 , 40 – 43 , 45 , 49 , 51 , 52 – 56 ] quality because they scored “yes” for at least five items in the quality assessment checklist. Specifically, 26 [ 7 , 9 , 15 , 21 – 25 , 28 – 29 , 31 , 33 , 35 – 36 , 40 – 43 , 45 – 49 , 51 – 52 , 56 ] studies scored “yes” for 8–9 items, 18 [ 6 , 8 , 13 – 14 , 17 , 20 , 26 – 27 , 30 , 32 , 34 , 37 , 39 , 44 , ...…”

“…The pooled prevalence of SO diagnosed using low muscle mass combined with different diagnostic criteria for obesity was 21% (95% CI: 13–29%, I 2 = 99.5%, P < 0.01, 14 studies [ 6 – 8 , 10 , 13 , 17 , 22 , 28 , 33 – 34 , 45 , 47 , 51 , 54 ]). Among them, the pooled prevalence of SO diagnosed using low muscle mass + BMI, low muscle mass + PBF, and low muscle mass + WC was 18% (95% CI: 9–29%, I 2 = 99%, P < 0.01, 2 studies [ 33 , 45 ]), 29% (95% CI: 13–49%, I 2 = 98%, P < 0.01, 5 studies [ 6 , 15 , 34 , 51 – 52 ]), 18% (95% CI: 7–32%, I 2 = 98%, P < 0.01, 5 studies [ 8 , 13 , 17 , 47 , 54 ]), respectively (Table 1 ).…”