1
|
Ramakrishnan U, Wimalasena ST, Young MF, Khuong LQ, Tran LM, Hoffman DJ, Martorell R, Nguyen PH. Preconception Micronutrient Supplementation Affects Maternal BMI and Body Composition Postpartum: A Randomized Controlled Trial in Vietnam. J Nutr 2024; 154:1440-1448. [PMID: 38417549 DOI: 10.1016/j.tjnut.2024.02.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 02/13/2024] [Accepted: 02/21/2024] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND Although there is growing evidence on the role of preconception nutrition for birth outcomes, limited evidence exists for its effects on maternal health. OBJECTIVES This study evaluates the impact of preconception micronutrient supplementation on maternal BMI (kg/m2) and body composition at 6 to 7 y postpartum (PP). METHODS We followed females who participated in a randomized controlled trial of preconception supplementation in Vietnam and delivered live offspring (n = 1599). Females received weekly supplements containing either 2800 μg folic acid (FA) only, 60 mg iron and 2800 μg FA (IFA), or multiple micronutrients (MMs) (15 micronutrients including IFA) from baseline until conception followed by daily prenatal IFA supplements until delivery. Height, weight, mid-upper arm circumference, triceps skinfold, and waist-hip circumference were measured at recruitment and at 1, 2, and 6 to 7 y PP. Body fat was assessed using bioelectric impedance at 6 to 7 y PP (n = 867). Group comparisons were made using analysis of variance or chi-square tests and general linear models for adjusted models. RESULTS At 6 to 7 y PP, we found significant differences (P < 0.05) by treatment group for mean percent fat (MM: 29.2%; IFA: 27.6%; FA: 27.8%), absolute fat mass (MM: 15.1 kg; IFA: 14.0 kg; FA: 14.3 kg), and prevalence of underweight based on BMI < 18.5 (MM: 5.8%; IFA: 10.3%; FA: 14.3%). Mean BMI and triceps skinfold thickness were higher in the MM group, but these differences were not statistically significant; the differences in absolute fat mass were also attenuated after controlling for body weight. No differences were observed for fat-free mass, prevalence of overweight (BMI >23), or other anthropometric measurements. CONCLUSIONS Preconception MM supplementation was associated with lower prevalence of underweight and higher percent fat when compared with IFA and/or FA only. Preconception micronutrient interventions may have long-term effects on maternal health and merit further examination. This trial was registered at clinicaltrials.gov as NCT01665378.
Collapse
Affiliation(s)
- Usha Ramakrishnan
- Hubert Department of Global Health, Emory University, Atlanta, GA, United States; Doctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta GA, United States.
| | - Sonia Tandon Wimalasena
- Doctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta GA, United States
| | - Melissa F Young
- Hubert Department of Global Health, Emory University, Atlanta, GA, United States; Doctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta GA, United States
| | | | - Lan M Tran
- Doctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta GA, United States
| | - Daniel J Hoffman
- Department of Nutritional Sciences, Program in International Nutrition, New Jersey Institute for Food, Nutrition, and Health, Center for Childhood Nutrition Research, Rutgers, the State University of New Jersey, New Brunswick, NJ, United States
| | - Reynaldo Martorell
- Hubert Department of Global Health, Emory University, Atlanta, GA, United States; Doctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta GA, United States
| | - Phuong H Nguyen
- Thai Nguyen University of Pharmacy and Medicine, Thai Nguyen, Vietnam; Poverty, Health, and Nutrition Division, International Food Policy Research Institute, Washington, DC, United States
| |
Collapse
|
2
|
Iwasaka C, Nanri H, Nakagata T, Ohno H, Tanisawa K, Konishi K, Murakami H, Hosomi K, Park J, Yamada Y, Ono R, Mizuguchi K, Kunisawa J, Miyachi M. Association of skeletal muscle function, quantity, and quality with gut microbiota in Japanese adults: A cross-sectional study. Geriatr Gerontol Int 2024; 24:53-60. [PMID: 38098315 DOI: 10.1111/ggi.14751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 01/05/2024]
Abstract
AIM The gut microbiota has emerged as a new intervention target for sarcopenia. Prior studies in humans have focused on the association between gut microbiota and skeletal muscle quantity, while the evidence on muscle function and quality is lacking. This study aimed to identify gut microbiota genera associated with skeletal muscle function, quantity, and quality in a general population of Japanese adults. METHODS This cross-sectional study included 164 participants aged 35-80 years, women and men recruited from urban areas of Japan. Fecal samples were collected and analyzed using 16S rRNA gene amplicon sequencing. Skeletal muscle function was measured using handgrip strength and leg extension power (LEP), while skeletal muscle mass was estimated using bioelectrical impedance analysis. Phase angle was used as a measure of skeletal muscle quality. Multivariate linear regression analysis stratified by age group was used to examine the association between the dominant genera of the gut microbiota and skeletal muscle variables. RESULTS A significant association was found between Bacteroides and Prevotella 9 with LEP only in the ≥60 years group. When both Bacteroides and Prevotella 9 were included in the same regression model, only Bacteroides remained consistently and significantly associated with LEP. No significant associations were observed between skeletal muscle mass, handgrip strength, and phase angle and major gut microbiota genera. CONCLUSIONS In this study, we observed a significant positive association between Bacteroides and leg muscle function in older adults. Further studies are required to elucidate the underlying mechanisms linking Bacteroides to lower-extremity muscle function. Geriatr Gerontol Int 2024; 24: 53-60.
Collapse
Affiliation(s)
- Chiharu Iwasaka
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Hinako Nanri
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Laboratory of Gut Microbiome for Health, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Takashi Nakagata
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Laboratory of Gut Microbiome for Health, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Harumi Ohno
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Department of Nutrition, Kiryu University, Kiryu, Japan
| | - Kumpei Tanisawa
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Kana Konishi
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Food and Nutritional Sciences, Toyo University, Tokyo, Japan
| | - Haruka Murakami
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Japan
| | - Koji Hosomi
- Laboratory of Vaccine Materials and Laboratory of Gut Environmental System, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Jonguk Park
- Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Yosuke Yamada
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Laboratory of Gut Microbiome for Health, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Rei Ono
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Laboratory of Gut Microbiome for Health, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Kenji Mizuguchi
- Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Jun Kunisawa
- Laboratory of Vaccine Materials and Laboratory of Gut Environmental System, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Graduate School of Medicine, Osaka University, Osaka, Japan
- Graduate School of Pharmaceutical Sciences, Osaka University, Osaka, Japan
- Graduate School of Dentistry, Osaka University, Osaka, Japan
- Graduate School of Science, Osaka University, Osaka, Japan
- International Vaccine Design Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Microbiology and Immunology, Kobe University Graduate School of Medicine, Kobe, Japan
- Faculty of Science and Engineering, Waseda University, Tokyo, Japan
| | - Motohiko Miyachi
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| |
Collapse
|
3
|
Yamada Y, Yoshida T, Murakami H, Gando Y, Kawakami R, Ohno H, Tanisawa K, Konishi K, Tripette J, Kondo E, Nakagata T, Nanri H, Miyachi M. Body Cell Mass to Fat-Free Mass Ratio and Extra- to Intracellular Water Ratio Are Related to Maximal Oxygen Uptake. J Gerontol A Biol Sci Med Sci 2023; 78:1778-1784. [PMID: 37262316 DOI: 10.1093/gerona/glad140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Indexed: 06/03/2023] Open
Abstract
Fat-free mass (FFM) is a heterogeneous compartment comprising body cell mass (BCM), intracellular water (ICW), extracellular solids, and extracellular water (ECW). The BCM/FFM and ECW/ICW ratios vary among individuals and decrease with age. This study aimed to determine whether BCM/FFM and ECW/ICW ratios are predictors of maximal oxygen uptake (V̇̇O2peak) independently of age, sex, and objectively measured physical activity (PA). A total of 115 Japanese males and females, aged 55.3 ± 8.0 years (mean ± standard deviation), were included in the study. Anthropometry, explosive leg muscle power, and V̇̇O2peak were measured, and BCM, FFM, ICW, and ECW were estimated. Step count and PA were objectively measured using a triaxial accelerometer. Blood flow volume was assessed using ultrasonography. BCM and ICW were negatively correlated with age, whereas FFM and ECW were not significantly correlated with age. FFM, ICW/ECW, BCM/FFM, step counts, moderate and vigorous PA, and leg muscle power were positively correlated with V̇̇O2peak, even after adjusting for age and sex (p < .05). Multiple regression analysis indicated that either BCM/FFM or ECW/ICW, leg power, and objectively measured PA were associated with V̇̇O2peak independent of age, sex, and FFM. Blood flow volume was significantly correlated with ECW (p < .05), but not with BCM. The BCM/FFM and ECW/ICW ratios were significant predictors of V̇̇O2peak, independent of age, sex, FFM, leg power, and objectively measured PA.
Collapse
Affiliation(s)
- Yosuke Yamada
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Tsukasa Yoshida
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Haruka Murakami
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Yuko Gando
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Sport Science, Surugadai University, Hanno, Saitama, Japan
| | - Ryoko Kawakami
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, Hachioji, Tokyo, Japan
| | - Harumi Ohno
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Department of Nutrition, Faculty of Health Care, Kiryu University, Gumma, Japan
| | - Kumpei Tanisawa
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Saitama, Japan
| | - Kana Konishi
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Food and Nutritional Sciences, Toyo University, Gumma, Japan
| | - Julien Tripette
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Center for Interdisciplinary AI and Data Science, Ochanomizu University, Bunkyo, Tokyo, Japan
| | - Emi Kondo
- Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Takashi Nakagata
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Hinako Nanri
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Motohiko Miyachi
- Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Saitama, Japan
| |
Collapse
|