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Yamauchi Y, Masutomi H, Ishihara K, Hartanto T, Lee CG, Fukuda S. The differential effect of two cereal foods on gut environment: a randomized, controlled, double-blind, parallel-group study. Front Nutr 2024; 10:1254712. [PMID: 38455871 PMCID: PMC10917986 DOI: 10.3389/fnut.2023.1254712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/11/2023] [Indexed: 03/09/2024] Open
Abstract
Background and aims Cereal-based foods such as fruit granola (FG) and corn flakes (CF) form part of a fiber-rich diet. Dietary fiber has a good effect on human health. However, changes in gut microbiota and intestinal immunity have not been investigated. We conducted a randomized, double-blind, placebo-controlled trial to investigate the effects of FG and CF intake on gut microbiota, metabolome, and the immune system. Methods Subjects continuously consume CF or FG for 4 weeks. Stool samples, and questionnaires on defecation were collected before, 2 weeks after, and 4 weeks after intake. Gut microbiota was analyzed using 16S rRNA gene amplicon sequencing. Fecal metabolomes were analyzed using GC/MS and CE-TOF/MS. Fecal IgA was analyzed using ELISA. Results The defecation frequency after cereal based food intake was improved. The different cereal-based foods had different effects on gut microbiome. The increase in intestinal IgA levels was positively correlated with the relative abundance of Dialister and the Lachnospiraceae ND3007 group in CF and FG group, respectively. SCFAs showed a positive correlation with Prevotella 9 in the FG group. Conclusion This study showed that the supplement in dietary fiber contained in CF and FG improves bowel movements. CF and FG each had different effects on gut microbes, metabolites and different relationships between fecal IgA or SCFAs and gut microbiota.
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Affiliation(s)
| | | | | | | | | | - Shinji Fukuda
- Metagen Inc., Tsuruoka, Japan
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
- Gut Environmental Design Group, Kanagawa Institute of Industrial Science and Technology, Kanagawa, Japan
- Transborder Medical Research Center, University of Tsukuba, Tsukuba, Japan
- Laboratory for Regenerative Microbiology, Juntendo University Graduate School of Medicine, Tokyo, Japan
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Sukkriang N, Chanprasertpinyo W, Wattanapisit A, Punsawad C, Thamrongrat N, Sangpoom S. Correlation of body visceral fat rating with serum lipid profile and fasting blood sugar in obese adults using a noninvasive machine. Heliyon 2021; 7:e06264. [PMID: 33644479 PMCID: PMC7893433 DOI: 10.1016/j.heliyon.2021.e06264] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 09/08/2020] [Accepted: 02/09/2021] [Indexed: 02/07/2023] Open
Abstract
Increased visceral fat is associated with an increased mortality rate. Bioelectrical impedance analysis (BIA) is a noninvasive method to assess visceral fat that is easily accessible and avoids exposure to radiation. It is unknown how a visceral fat rating from a noninvasive machine correlates with the serum lipid profile and fasting blood sugar (FBS). The aim of this research is to study the correlation of the visceral fat rating obtained by a noninvasive method with the serum lipid profile and FBS. This cross-sectional study involved 90 obese adults, ranging in age from 18 to 60 years old. The visceral fat rating was measured by BIA. The results demonstrated that significant positive correlations were found between the serum triglycerides and visceral fat rating (r = 0.287, P = 0.006) and between the FBS and visceral fat rating (r = 0.210, P = 0.047). There was a negative correlation between the serum high-density lipoprotein (HDL) cholesterol and visceral fat rating (r = -0.322, P = 0.002). In conclusion, statistically significant positive correlations were found between the serum triglycerides and visceral fat rating and between the FBS and visceral fat rating, and a negative correlation was found between the serum HDL-cholesterol and visceral fat rating.
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Affiliation(s)
- Naparat Sukkriang
- School of Medicine, Walailak University, Nakhon Si Thammarat, 80160 Thailand.,Walailak University Hospital, Nakhon Si Thammarat, 80160 Thailand
| | - Wandee Chanprasertpinyo
- School of Medicine, Walailak University, Nakhon Si Thammarat, 80160 Thailand.,Walailak University Hospital, Nakhon Si Thammarat, 80160 Thailand
| | - Apichai Wattanapisit
- School of Medicine, Walailak University, Nakhon Si Thammarat, 80160 Thailand.,Walailak University Hospital, Nakhon Si Thammarat, 80160 Thailand
| | - Chuchard Punsawad
- School of Medicine, Walailak University, Nakhon Si Thammarat, 80160 Thailand
| | | | - Suttida Sangpoom
- School of Science, Walailak University, Nakhon Si Thammarat, 80160 Thailand
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Lukkahatai N, Soivong P, Li D, Jaiman P, Thamkaew S, Chaiwong D, Hiranlalit N, Inouye J. Feasibility of Using Mobile Technology to Improve Physical Activity Among People Living with Diabetes in Asia. Asian Pac Isl Nurs J 2021; 5:236-247. [PMID: 33791411 PMCID: PMC7993889 DOI: 10.31372/20200504.1110] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Background: Chronic conditions such as diabetes (DM) and cardiovascular disease are associated with disability and poor quality of life. Asians are 30% more likely than non-Hispanic Whites to develop type 2 DM. The important roles of wearable technological applications or devices in maintaining individuals' motivation to attain their physical activity (PA) goal have been reported. However, evidence of the feasibility and impact of the mobile technology on the PA in Thailand is limited. This study aims to examine the feasibility and the impact of the immediate performance feedback feature of the wearable device on PA. Methods: This pilot study recruited persons aged 18 or older with diabetes from two diabetes clinics in Chiang Mai, Thailand. Participants were randomly assigned into three groups: the aware group (AW: can see the step count on the device screen), the unaware group (UW: the device screen was completely covered), and the control group (usual care). Participants in the AW and UW groups were asked to wear the device for 2 full days while the usual care group did not wear the device. All participants completed a questionnaire package at their first study visit. Data analysis of univariate and multivariate general linear models were conducted using SAS version 9.4 (SAS Institute Inc., Cary, NC). All significance levels were set at 5%. Results: One hundred and fourteen participants age ranged from 39 to 75 years old were included in this analysis. The majority were female (n = 86, 69%) and married (n = 103, 82%). No adverse events were reported among device users. Within 2 days, there were less than 10% missing data and more than 70% of participants liked the devices mainly because they could see the step count. More than 63% of participants who wore the device had an average of steps greater than 10,000 per day. Although the number of steps and sleep hours were not significantly different between the AW and UW groups, 68% of the AW participants found that the device help them with their exercise. Discussion: The results demonstrate the feasibility of the use of the wearable device among people living with chronic conditions. Participants found that the step count screen provided immediate physical performance feedback that was helpful with their exercise. The behavioral changes, however, could not be examined due to the short duration of the usage. Future studies that require longer device usage in larger sample sizes are needed.
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Affiliation(s)
- Nada Lukkahatai
- School of Nursing, Johns Hopkins University, Baltimore, Maryland, United States
| | - Pratum Soivong
- Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand
| | - Dongmei Li
- University of Rochester, Rochester, New York, United States
| | | | | | | | | | - Jillian Inouye
- John A. Burns School of Medicine, University of Hawai‘i, Hawai‘i, United States
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Liangruenrom N, Craike M, Biddle SJH, Suttikasem K, Pedisic Z. Correlates of physical activity and sedentary behaviour in the Thai population: a systematic review. BMC Public Health 2019; 19:414. [PMID: 30991973 PMCID: PMC6469108 DOI: 10.1186/s12889-019-6708-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 03/27/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Given the importance of knowing the potential impediments and enablers for physical activity (PA) and sedentary behaviour (SB) in a specific population, the aim of this study was to systematically review and summarise evidence on individual, social, environmental, and policy correlates of PA and SB in the Thai population. METHODS A systematic review of articles written in Thai and English was conducted. Studies that reported at least one correlate for PA and/or SB in a healthy Thai population were selected independently by two authors. Data on 21 variables were extracted. The methodological quality of the included studies was assessed using the Newcastle-Ottawa Scale. RESULTS A total of 25,007 records were screened and 167 studies were included. The studies reported associations with PA for a total of 261 variables, mostly for adults and older adults. For most of the variables, evidence was available from a limited number of studies. Consistent evidence was found for individual-level and social correlates of PA in children/adolescents and adults and for individual-level correlates of PA in older adults. Self-efficacy and perceived barriers were consistently associated with PA in all age groups. Other consistently identified individual-level correlates in adults and older adults included self-rated general health, mental health, perceived benefits, and attitudes towards PA. Consistent evidence was also found for social correlates of PA in adults, including social support, interpersonal influences, parent/family influences, and information support. The influence of friendship/companionship was identified as a correlate of PA only in children/adolescents. A limited number of studies examined SB correlates, especially in older adults. The studies reported associations with SB for a total of 41 variables. Consistent evidence of association with SB was only found for obesity in adults. Some evidence suggests that male adults engage more in SB than females. CONCLUSIONS More Thai studies are needed on (i) PA correlates, particularly among children/adolescents, and that focus on environment- and policy-related factors and (ii) SB correlates, particularly among older adults. Researchers are also encouraged to conduct longitudinal studies to provide evidence on prospective and causal relationships, and subject to feasibility, use device-based measures of PA and SB.
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Affiliation(s)
- Nucharapon Liangruenrom
- 0000 0001 0396 9544grid.1019.9Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
- 0000 0004 1937 0490grid.10223.32Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170 Thailand
| | - Melinda Craike
- 0000 0001 0396 9544grid.1019.9Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
- 0000 0001 0396 9544grid.1019.9Australian Health Policy Collaboration, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
| | - Stuart J. H. Biddle
- 0000 0004 0473 0844grid.1048.dInstitute for Resilient Regions, University of Southern Queensland, Education City, 37 Sinnathamby Boulevard, Springfield Central, QLD 4300 Australia
| | - Kanyapat Suttikasem
- 0000 0004 1937 0490grid.10223.32Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170 Thailand
| | - Zeljko Pedisic
- 0000 0001 0396 9544grid.1019.9Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
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Liangruenrom N, Suttikasem K, Craike M, Bennie JA, Biddle SJH, Pedisic Z. Physical activity and sedentary behaviour research in Thailand: a systematic scoping review. BMC Public Health 2018; 18:733. [PMID: 29898706 PMCID: PMC6001063 DOI: 10.1186/s12889-018-5643-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 05/31/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The number of deaths per year attributed to non-communicable diseases is increasing in low- and middle-income countries, including Thailand. To facilitate the development of evidence-based public health programs and policies in Thailand, research on physical activity (PA) and sedentary behaviour (SB) is needed. The aims of this scoping review were to: (i) map all available evidence on PA and SB in Thailand; (ii) identify research gaps; and (iii) suggest directions for future research. METHODS A systematic literature search was conducted through 10 bibliographic databases. Additional articles were identified through secondary searches of reference lists, websites of relevant Thai health organisations, Google, and Google Scholar. Studies written in Thai or English were screened independently by two authors and included if they presented quantitative or qualitative data relevant to public health research on PA and/or SB. RESULTS Out of 25,007 screened articles, a total of 564 studies were included in the review. Most studies included PA only (80%), 6.7% included SB only, and 13.3% included both PA and SB. The most common research focus was correlates (58.9%), followed by outcomes of PA/SB (22.2%), prevalence of PA/SB (12.4%), and instrument validation (3.2%). Most PA/SB research was cross-sectional (69.3%), while interventions (19.7%) and longitudinal studies (2.8%) were less represented. Most studies (94%) used self-reports of PA/SB, and few (2.5%) used device-based measures. Both sexes were examined in most studies (82.5%). Adults were the main target population group (51.1%), followed by older adults (26.9%), adolescents (15.7%), and children (6.3%). Clinical populations were investigated in the context of PA/SB in a relatively large number of studies (15.3%), most frequently those with cardiovascular disease, diabetes, and hypertension (22%, 21%, and 21% respectively). CONCLUSIONS The number of Thai papers on PA published per year has been increasing, indicating a growing interest in this research area. More studies using population-representative samples are needed, particularly among children and adolescents, and investigating SB as a health risk factor. To provide stronger evidence on determinants and outcomes of PA/SB, longitudinal studies using standardised measures of PA and SB are required.
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Affiliation(s)
- Nucharapon Liangruenrom
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia
- Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170, Thailand
| | - Kanyapat Suttikasem
- Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170, Thailand
| | - Melinda Craike
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia
| | - Jason A Bennie
- Institute for Resilient Regions, University of Southern Queensland, Education City, 37 Sinnathamby Boulevard, Springfield Central, QLD, 4300, Australia
| | - Stuart J H Biddle
- Institute for Resilient Regions, University of Southern Queensland, Education City, 37 Sinnathamby Boulevard, Springfield Central, QLD, 4300, Australia
| | - Zeljko Pedisic
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia.
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Whatnall MC, Collins CE, Callister R, Hutchesson MJ. Associations between Unhealthy Diet and Lifestyle Behaviours and Increased Cardiovascular Disease Risk in Young Overweight and Obese Women. Healthcare (Basel) 2016; 4:healthcare4030057. [PMID: 27548243 PMCID: PMC5041058 DOI: 10.3390/healthcare4030057] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 08/11/2016] [Accepted: 08/12/2016] [Indexed: 01/24/2023] Open
Abstract
Unhealthy lifestyle behaviours are known modifiable risk factors for cardiovascular disease (CVD). This cross-sectional analysis aimed to describe lifestyle behaviours and CVD risk markers in young overweight and obese Australian women and explore associations between individual and combined lifestyle behaviours with CVD risk markers. Lifestyle behaviours assessed were diet quality, alcohol intake, physical activity, sitting time and smoking status, and were combined to generate a Healthy Lifestyle Score (HLS) (0–5). Objectively measured CVD risk markers were body mass index (BMI), %body fat, waist circumference, blood pressure, and plasma cholesterol and triglycerides. Analysis included 49 women aged 18–35 years, with BMI 25.0 to 34.9 kg/m2. The mean ± SD Australian Recommended Food Score was 33.5 ± 9.3 points, alcohol 3.3 ± 2.4 standard drinks/day, physical activity 207 ± 225 min/week and sitting time 578 ± 213 min/day. All participants were non-smokers. The proportion of participants outside normal reference ranges was 83.7% for waist circumference (n = 41), blood pressure 0% (n = 0), total cholesterol 26.2% (n = 11), HDL cholesterol 38.6% (n = 17), LDL cholesterol 22.7% (n = 10), and triglycerides 4.2% (n = 2). Physical activity was inversely associated with body fat (β = −0.011%, p = 0.005), diastolic blood pressure (β = −0.010 mmHg, p = 0.031) and waist circumference (β = −0.013 cm, p = 0.029). Most participants (59.2%, n = 29) had a HLS ≤ 2. No significant associations were found between HLS and CVD risk markers. Insufficient physical activity was the primary lifestyle factor associated with increased CVD risk markers, which suggests interventions targeting physical activity in young women may potentially improve cardiovascular health.
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Affiliation(s)
- Megan C Whatnall
- School of Health Sciences, Faculty of Health and Medicine, and Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Clare E Collins
- School of Health Sciences, Faculty of Health and Medicine, and Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Robin Callister
- School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, and Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Melinda J Hutchesson
- School of Health Sciences, Faculty of Health and Medicine, and Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
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