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Du Y, Qi L, Borné Y, Sonestedt E. Adulthood weight changes, body mass index in youth, genetic susceptibility and risk of atrial fibrillation: a population-based cohort study. BMC Med 2024; 22:345. [PMID: 39183287 DOI: 10.1186/s12916-024-03565-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 08/15/2024] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND Epidemiological evidence on weight change and atrial fibrillation (AF) remains limited and inconsistent. Previous studies on body mass index (BMI) in youth and AF rarely considered subsequent BMI. This study aimed to assess the associations of AF with weight change and BMI in youth, as well as modified effect by genetic susceptibility of AF. METHODS The study included 21,761 individuals (mean age 57.8 years) from the Malmö Diet and Cancer cohort. Weight information was obtained at three time points, including recalled weight at age 20 years, measured weight at baseline (middle adulthood), and reported weight at 5-year follow-up examination (late middle adulthood). A weighted genetic risk score of AF was created using 134 variants. RESULTS During a median follow-up of 23.2 years, a total of 4038 participants developed AF. The association between weight change from early to middle adulthood and AF risk was modified by sex (Pinteraction = 0.004); weight loss was associated with a lower AF risk in females, but not in males. Conversely, weight gain was positively associated with AF risk in a linear manner in females, whereas increased AF risk appeared only when weight gain exceeded a threshold in males. Participants with weight gain of > 5 kg from middle to late middle adulthood had a 19% higher risk of AF relative to those with stable weight, whereas weight loss showed a null association. Compared to individuals with a lower BMI at age 20 years, those with a BMI above 25 kg/m2 had an increased risk of AF (HR = 1.14; 95% CI: 1.02-1.28), after controlling for baseline BMI; this association was more pronounced in males or those with a lower genetic risk of AF. CONCLUSIONS Weight gain in middle adulthood was associated with higher AF risk. Weight loss from early to middle adulthood, but not from middle to late middle adulthood, was associated with a lower risk of AF only in females. Higher BMI in youth was associated with an increased risk of AF, particularly among males or those with a lower genetic risk of AF.
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Affiliation(s)
- Yufeng Du
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
- Department of Food and Meal Science and the Research Environment MEAL, Faculty of Natural Science, Kristianstad University, Kristianstad, Sweden.
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Ou Y, Belzer C, Smidt H, de Weerth C. Methodological recommendations for human microbiota-gut-brain axis research. MICROBIOME RESEARCH REPORTS 2023; 3:1. [PMID: 38455088 PMCID: PMC10917620 DOI: 10.20517/mrr.2023.33] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/15/2023] [Accepted: 10/12/2023] [Indexed: 03/09/2024]
Abstract
Observational studies have determined numerous correlations between sequence-based gut microbiota data and human mental traits. However, these associations are often inconsistent across studies. This inconsistency is one of the reasons that mechanistic validation studies of the observed correlations are lagging, making it difficult to establish causal associations. The absence of consistent study findings may partially be due to the lack of clear guidelines for identifying confounders of relations between complex microbial communities and mental conditions. Gut microbial complexity also impedes deciphering microbiota-host relations by using a single analytical approach. The aim of the current review is to help solve these problems by providing methodological recommendations for future human microbiota-gut-brain axis research on the selection of confounders, the use of integrative biostatistical methods, and the steps needed to translate correlative findings into causal conclusions.
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Affiliation(s)
- Yangwenshan Ou
- Laboratory of Microbiology, Wageningen University & Research, P.O. Box 8033, 6700 EH Wageningen, The Netherlands
- Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University & Research, P.O. Box 8033, 6700 EH Wageningen, The Netherlands
| | - Hauke Smidt
- Laboratory of Microbiology, Wageningen University & Research, P.O. Box 8033, 6700 EH Wageningen, The Netherlands
| | - Carolina de Weerth
- Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands
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The association of measures of body shape and adiposity with incidence of cardiometabolic disease from an ageing perspective. GeroScience 2022; 45:463-476. [PMID: 36129566 PMCID: PMC9886769 DOI: 10.1007/s11357-022-00654-9] [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: 03/30/2022] [Accepted: 08/31/2022] [Indexed: 02/03/2023] Open
Abstract
While obesity increases the risk of developing cardiometabolic diseases (CMDs), these associations seem to attenuate with increasing age, albeit studied poorly. The present study aimed to investigate the associations between adiposity and CMDs in sex-specific groups of chronological age and leukocyte telomere length (LTL) as a measure of biological age. We investigated the associations between BMI, a body shape index, waist-to-hip ratio (adjusted for BMI) and total body fat, and incident coronary artery disease (CAD), type 2 diabetes (T2D) and ischemic stroke (IS) in 413,017 European-ancestry participants of the UK Biobank without CMD at baseline. We assessed the change in the associations between adiposity and CMD over strata of increasing chronological age or decreasing LTL. Participants (56% women) had a median (IQR) age of 57.0 (50.0-63.0) years. The median follow-up time was 12 years. People with higher BMI had a higher risk of incident CAD (HR 1.14 (95% confidence interval [CI] 1.13, 1.16)), T2D (HR 1.70 (95% CI 1.68, 1.72)) and IS (HR 1.09 (95% CI 1.06, 1.12)). In groups based on chronological age and LTL, adiposity measures were associated with higher risk of CAD and T2D in both men and women, but these associations attenuated with increasing chronological age (Pinteractions < 0.001), but not with decreasing LTL (Pinteraction men = 0.85; Pinteraction women = 0.27). Increased (abdominal) adiposity was associated with higher risk of incident CMDs, which attenuated with increasing chronological age but not with decreasing LTL. Future research may validate these findings using different measures of biological age.
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Postural stability, body composition and functional ability of the lower extremity in patients with lumbar degenerative spondylolisthesis. TURKISH JOURNAL OF KINESIOLOGY 2022. [DOI: 10.31459/turkjkin.1108377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Although patients accessing rehabilitation services had been reported to have better functional ability of the lower limbs, postural stability, and low cardiovascular disease risk factors, updated data from developing countries is however vital for clinical practices. Hence, the aim of this study was to present the association between lower extremity functional ability (LEFA), stability, and body composition profiles in rehabilitative lumbar degenerative spondylolisthesis (LDS) patients considering age and gender. One hundred and twenty-four participants (45 females, 79 males), with a mean age of 56.45±11.13 years, volunteered for the study. Weight, height body fat percent (BFP), visceral fat, body mass index (BMI), resting systolic and diastolic blood pressure, and resting heart rate were measured while functional ability and stability tests were conducted on the participants. 53.4% were at least overweight; LEFA was below average, stability of both dominant and nondominant legs was very poor, blood pressure and heart rate were high. Women had high total body fat and visceral fat. Significant differences were observed in BMI (p=0.044) and BFP (p=0.035) based on age classification as well as BMI (p=0.000), BFP (p=0.000) and visceral fat (p=0.000) by gender. Overweight, high blood pressure, poor LEFA, and postural stability are crucial comorbidities of Ghanaian LDS patients in this study. Educationally and pragmatically comprehensive healthy lifestyle interventions of regular exercise regimes, adequate and quality nutrition, and occupational stress reduction would play major complementary roles in chiropractic treatment.
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Cao W, Xu Y, Shen Y, Hu T, Xiao Y, Wang Y, Ma X, Bao Y. Change of neck circumference in relation to visceral fat area: a Chinese community-based longitudinal cohort study. Int J Obes (Lond) 2022; 46:1633-1637. [PMID: 35672353 PMCID: PMC9395262 DOI: 10.1038/s41366-022-01160-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 05/23/2022] [Accepted: 05/27/2022] [Indexed: 11/22/2022]
Abstract
Background/Objectives Neck circumference (NC) has been positively associated with visceral fat area (VFA) in cross-sectional studies. This study aimed to evaluate the effects of NC changes on VFA in a Chinese community-based longitudinal cohort. Subjects/Methods Subjects recruited from Shanghai communities were followed up for 1.1–2.9 years. A total of 1421 subjects (men 578, women 843) were included, aged 24–80 years, with an average age of 57.8 ± 7.1 years. Interventions/Methods Biochemical and anthropometric measurements, including NC, were obtained from all subjects. VFA was assessed by magnetic resonance imaging. Abdominal obesity was defined as a VFA ≥ 80 cm2. Results After a mean follow-up of 2.1 years, the NCs for men and women were 38.1 ± 2.3 cm and 33.8 ± 2.0 cm, respectively, and the average value of VFA was 84.55 (59.83–113.50) cm2. After adjusting for age, sex, body mass index, smoking, history of drinking, glycated hemoglobin, blood pressure and blood lipids, individuals who had gained a NC of more than 5% had 1.26 (95% CI: 1.05–1.49) times more visceral adipose tissue at follow-up than NC maintainers (NC change between –2.5% and 2.5%). In the non-abdominal obesity group at baseline (n = 683), after adjusting for confounding factors, changes in NC were associated with abdominal obesity (odd ratio 1.23, 95% CI: 1.09–1.39). Conclusions Changes in NC were positively associated with VFA in a Chinese community-based cohort, suggesting that NC measurement is practical for assessing abdominal obesity.
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Verkouter I, Noordam R, Loh NY, van Dijk KW, Zock PL, Mook-Kanamori DO, le Cessie S, Rosendaal FR, Karpe F, Christodoulides C, de Mutsert R. The Relation Between Adult Weight Gain, Adipocyte Volume, and the Metabolic Profile at Middle Age. J Clin Endocrinol Metab 2021; 106:e4438-e4447. [PMID: 34181708 PMCID: PMC8530710 DOI: 10.1210/clinem/dgab477] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Indexed: 12/02/2022]
Abstract
CONTEXT Weight gain during adulthood increases cardiometabolic disease risk, possibly through adipocyte hypertrophy. OBJECTIVE We aimed to study the specific metabolomic profile of adult weight gain, and to examine its association with adipocyte volume. METHODS Nuclear magnetic resonance-based metabolomics were measured in the Netherlands Epidemiology of Obesity (NEO) study (n = 6347, discovery) and Oxford Biobank (n = 6317, replication). Adult weight gain was calculated as the absolute difference between body mass index (BMI) at middle age and recalled BMI at age 20 years. We performed linear regression analyses with both exposures BMI at age 20 years and weight gain, and separately with BMI at middle age in relation to 149 serum metabolomic measures, adjusted for age, sex, and multiple testing. Additionally, subcutaneous abdominal adipocyte biopsies were collected in a subset of the Oxford Biobank (n = 114) to estimate adipocyte volume. RESULTS Mean (SD) weight gain was 4.5 (3.7) kg/m2 in the NEO study and 3.6 (3.7) kg/m2 in the Oxford Biobank. Weight gain, and not BMI at age 20 nor middle age, was associated with concentrations of 7 metabolomic measures after successful replication, which included polyunsaturated fatty acids, small to medium low-density lipoproteins, and total intermediate-density lipoprotein. One SD weight gain was associated with 386 μm3 (95% CI, 143-629) higher median adipocyte volume. Adipocyte volume was associated with lipoprotein particles specific for adult weight gain. CONCLUSION Adult weight gain is associated with specific metabolomic alterations of which the higher lipoprotein concentrations were likely contributed by larger adipocyte volumes, presumably linking weight gain to cardiometabolic disease.
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Affiliation(s)
- Inge Verkouter
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Nellie Y Loh
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, 2300RC Leiden, the Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Peter L Zock
- Department of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Saskia le Cessie
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Fredrik Karpe
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK
- National Institute for Health Research, Oxford Biomedical Research Centre, Oxford, OX4 2PG, UK
- Oxford University Hospitals Foundation Trust, Oxford, OX4 4XN, UK
| | - Costantinos Christodoulides
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK
- Oxford University Hospitals Foundation Trust, Oxford, OX4 4XN, UK
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
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Takebe N, Tanno K, Ohmomo H, Hangai M, Oda T, Hasegawa Y, Takanashi N, Sasaki R, Shimizu A, Sasaki A, Sakata K, Sasaki M, Ishigaki Y. Weight Gain After 20 Years of Age is Associated with Unfavorable Lifestyle and Increased Prevalence of Metabolic Disorders. Diabetes Metab Syndr Obes 2021; 14:2065-2075. [PMID: 34040401 PMCID: PMC8143959 DOI: 10.2147/dmso.s300250] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 03/12/2021] [Indexed: 12/23/2022] Open
Abstract
PURPOSE It is unclear what kind of modifiable lifestyle factors are associated with long-time weight gain in adulthood. To clarify the lifestyle behavior related to body weight gain since the age of 20 years, we explored the lifestyle risk factor, independently associated with excessive weight gain after 20 years of age as compared to those in subjects with a stable weight, with matching of age, gender, and the current body mass index (BMI). PATIENTS AND METHODS From baseline data of a general population-based cohort study, we designed a cross-sectional analysis collecting individual data of medical health check-ups and a questionnaire related to lifestyle, including amount of sleep, frequency of eating breakfast, average times per day engaged in walking and sitting in the prior year, and smoking habits. These data were compared between the subjects with weight gain ≥10kg (n=3601) and <10kg (n=3601) after age 20, matched by a propensity score model which included current BMI, age and gender. We used multivariable logistic regressions to assess the lifestyle factor's association with high weight gain. RESULTS Participants who gained ≥10 kg were significantly more likely to sleep <5 hours or ≥9 hours per night, skip breakfast, engage in walking <1 hour per day, and sit ≥5 hours per day than those who gained <10kg. Multivariable logistic regressions analyses showed that, with adjusting for potential confounder, the lifestyles with the positive association with high weight gain were skipping breakfast (OR 1.252; 95% CI 1.053-1.489, vs regularly), long sleeping duration (9 hours/day≤ OR 1.613; 95% CI 1.018-2.557 vs 5≤-<7 hours/day), and former smoker (OR 1.163; 95% CI 1.008-1.343 vs never smoker), while walking duration was negatively associated with high weight gain. Furthermore, despite similar current BMI, participants with weight gain ≥10kg had significantly higher values for waist circumference, blood pressure, HbA1c, LDL-C, triglycerides, and hepatic enzyme levels than those with weight gain <10kg. Similarly, the prevalence rates of hypertension, dyslipidemia, metabolic syndrome (MetS), and former smoker were higher in the participants with weight gain ≥10kg. CONCLUSION Major weight gain after 20 years of age was associated with unfavorable lifestyle factors and greater waist circumference, possibly leading to elevated risk for MetS and other non-communicable diseases. These findings highlight the importance of maintaining both weight at age 20 and a favorable lifestyle throughout adulthood.
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Affiliation(s)
- Noriko Takebe
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Hideki Ohmomo
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Mari Hangai
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Tomoyasu Oda
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Yutaka Hasegawa
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Nobuyuki Takanashi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Ryohei Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Human Sciences, Center for Liberal Arts and Sciences, Iwate Medical University, Yahaba, Japan
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Akira Sasaki
- Department of Surgery, Iwate Medical University, Yahaba, Japan
| | - Kiyomi Sakata
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Correspondence: Yasushi Ishigaki Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, 2-1-1 Idai-Dori, Yahaba, Iwate, 028-3695, JapanTel +81 19 613 7111Fax +81 19 907 8270 Email
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Wang X, Song J, Gao Y, Wu C, Zhang X, Li T, Cui J, Song L, Xu W, Yang Y, Zhang H, Lu J, Li X, Liu J, Zheng X. Association Between Weight Gain From Young to Middle Adulthood and Metabolic Syndrome Across Different BMI Categories at Young Adulthood. Front Endocrinol (Lausanne) 2021; 12:812104. [PMID: 35242104 PMCID: PMC8886729 DOI: 10.3389/fendo.2021.812104] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES We aimed to assess the dose-response association between weight gain from young to middle adulthood and odds of metabolic syndrome, across body mass index (BMI) categories at young adulthood. METHODS Based on a national population-based screening project, middle-aged (35-64 years) participants who recalled weight at age 25 years and received standardized measurements were included. Multivariable adjusted restricted cubic splines and logistic regression models were applied. RESULTS In total, 437,849 participants were included (62.1% women, 52.0 ± 7.6 years). Larger weight gains from young to middle adulthood were associated with higher odds of metabolic syndrome at middle adulthood, with odds of 2.01 (1.98-2.05), 1.93 (1.92-1.94), and 1.67 (1.64-1.7) per 5-kg weight gain across participants who were underweight, normal-weight, and overweight/obese at young adulthood, respectively. After further adjusting for current BMI, larger weight gains still correlated with higher odds of metabolic syndrome among underweight and normal-weight participants, while an inverted U-shaped association was observed in overweight/obese participants. CONCLUSIONS Weight maintenance from young to middle adulthood could be effective to mitigate metabolic syndrome burden, especially among underweight and normal-weight people. Historical weight gain confers varied information about metabolic syndrome risk independent of attained BMI across BMI categories at young adulthood.
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Affiliation(s)
- Xiuling Wang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jiali Song
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Yan Gao
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Chaoqun Wu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xingyi Zhang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Teng Li
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jianlan Cui
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Lijuan Song
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Wei Xu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Yang Yang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Haibo Zhang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jiapeng Lu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jiamin Liu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
- *Correspondence: Xin Zheng, ; Jiamin Liu,
| | - Xin Zheng
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
- National Clinical Research Center of Cardiovascular Diseases, Coronary Artery Disease Center, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
- *Correspondence: Xin Zheng, ; Jiamin Liu,
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Tanaka S, Fujishiro M, Watanabe K, Imatake K, Suzuki Y, Abe M, Ishihara H, Tani S. Effect of Adult Weight Gain on Non-Alcoholic Fatty Liver Disease and Its Association with Anthropometric Parameters in the Lean Japanese Population. Diagnostics (Basel) 2020; 10:diagnostics10110863. [PMID: 33113887 PMCID: PMC7690736 DOI: 10.3390/diagnostics10110863] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 10/21/2020] [Accepted: 10/21/2020] [Indexed: 01/01/2023] Open
Abstract
Limited data are available on the prevalence of non-alcoholic fatty liver disease (NAFLD) and its association with adult weight gain (AWG) in the lean population. This study aimed to determine the prevalence of NAFLD and to investigate whether AWG is associated with NAFLD in the lean Japanese population. We retrospectively analyzed patients who underwent abdominal ultrasonography as part of the annual health checkup between January 2019 and December 2019. Participants were classified into two groups: those with AWG ≥ 10 kg (AWG group, n = 497), and those without gain (non-AWG group, n = 3006). To adjust for the confounding effects, we generated 482 pairs using 1:1 propensity score matching. The associations between AWG and NAFLD, anthropometric parameters and NAFLD were investigated using univariate logistic regression analysis. We identified NAFLD in 197 (5.6%) participants. AWG was significantly associated with NAFLD (odds ratio (OR), 1.81; p = 0.003). Waist circumference was significantly associated with NAFLD in both the AWG (OR, 1.24; p < 0.001) and non-AWG groups (OR, 1.17; p < 0.001). The association between body mass index and NAFLD existed in the former group (OR, 1.76; p < 0.001), but was not significant in the latter group. AWG is a risk factor for NAFLD even in the lean Japanese population, and associations between anthropometric parameters and NAFLD become stronger if AWG coexists.
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Affiliation(s)
- Sho Tanaka
- Division of Nephrology, Hypertension and Endocrinology, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo 173-8610, Japan; (S.T.); (M.A.)
- Department of Internal Medicine, Nihon University Hospital, 1-6 Surugadai, Kanda, Chiyoda-ku, Tokyo 101-8309, Japan
| | - Midori Fujishiro
- Department of Internal Medicine, Nihon University Hospital, 1-6 Surugadai, Kanda, Chiyoda-ku, Tokyo 101-8309, Japan
- Division of Diabetes and Metabolic Diseases, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo 173-8610, Japan; (K.W.); (H.I.)
- Correspondence:
| | - Kentaro Watanabe
- Division of Diabetes and Metabolic Diseases, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo 173-8610, Japan; (K.W.); (H.I.)
| | - Kazuhiro Imatake
- Department of Health Planning Center, Nihon University Hospital, 1-6 Surugadai, Kanda, Chiyoda-ku, Tokyo 101-8309, Japan; (K.I.); (Y.S.); (S.T.)
| | - Yasuyuki Suzuki
- Department of Health Planning Center, Nihon University Hospital, 1-6 Surugadai, Kanda, Chiyoda-ku, Tokyo 101-8309, Japan; (K.I.); (Y.S.); (S.T.)
- Department of Cardiology, Nihon University Hospital, 1-6 Surugadai, Kanda, Chiyoda-ku, Tokyo 101-8309, Japan
- Division of Cardiology, Department of Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo 173-8610, Japan
| | - Masanori Abe
- Division of Nephrology, Hypertension and Endocrinology, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo 173-8610, Japan; (S.T.); (M.A.)
| | - Hisamitsu Ishihara
- Division of Diabetes and Metabolic Diseases, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo 173-8610, Japan; (K.W.); (H.I.)
| | - Shigemasa Tani
- Department of Health Planning Center, Nihon University Hospital, 1-6 Surugadai, Kanda, Chiyoda-ku, Tokyo 101-8309, Japan; (K.I.); (Y.S.); (S.T.)
- Department of Cardiology, Nihon University Hospital, 1-6 Surugadai, Kanda, Chiyoda-ku, Tokyo 101-8309, Japan
- Division of Cardiology, Department of Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo 173-8610, Japan
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10
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Verkouter I, Noordam R, le Cessie S, van Dam RM, Lamb HJ, Rosendaal FR, van Heemst D, de Mutsert R. The Association between Adult Weight Gain and Insulin Resistance at Middle Age: Mediation by Visceral Fat and Liver Fat. J Clin Med 2019; 8:jcm8101559. [PMID: 31569345 PMCID: PMC6832997 DOI: 10.3390/jcm8101559] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 09/11/2019] [Accepted: 09/24/2019] [Indexed: 12/18/2022] Open
Abstract
We aimed to investigate the role of the amount of visceral fat and liver fat in the association between adult weight change and insulin resistance at middle age. In the Netherlands Epidemiology of Obesity study, adult weight change was calculated with recalled body weight at age 20 years and measured body weight at middle age. Measures of insulin resistance were calculated using both fasting and postprandial glucose and insulin concentrations. Visceral fat was assessed by magnetic resonance (MR) imaging and liver fat by proton-MR spectroscopy (N = 1758). We examined the association between adult weight change and insulin resistance with linear regression, adjusted for confounding factors. To investigate mediation, we additionally adjusted for total body fat, visceral fat, and liver fat. In participants who gained ≥50% of body weight during adulthood, homeostatic model assessment for insulin resistance (HOMA-IR) was 3.22 (95% CI 2.76; 3.77) times higher than in weight maintainers. In a joint model, total body fat mediated this association for 8.1% (95% CI −9.2; 25.4), visceral fat for 32.0% (18.6; 45.4%) and liver fat for 22.5% (15.0; 30.1). The association between adult weight gain and insulin resistance at middle age is largely mediated by both visceral fat and liver fat.
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Affiliation(s)
- Inge Verkouter
- Department of Clinical Epidemiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
| | - Raymond Noordam
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
| | - Saskia le Cessie
- Department of Clinical Epidemiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Rob M van Dam
- Saw Swee Hock School of Public Health and Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 117549, Singapore.
| | - Hildo J Lamb
- Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
| | - Diana van Heemst
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
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11
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Addor FAS. Topical effects of SCA ® ( Cryptomphalus aspersa secretion) associated with regenerative and antioxidant ingredients on aged skin: evaluation by confocal and clinical microscopy. Clin Cosmet Investig Dermatol 2019; 12:133-140. [PMID: 30858719 PMCID: PMC6386352 DOI: 10.2147/ccid.s191153] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Purpose This was an open-label, single-center clinical study to evaluate a topical association of SCA® (Cryptomphalus aspersa secretion) with regenerative and antioxidant ingredients, according to the type and area of the face, on the improvement of signs of skin aging. Patients and methods One hundred and twenty female participants aged between 40 and 65 years, with facial aging complaints (presence of static, dynamics wrinkles, loss of elasticity, and skin firmness) were randomized into two groups according to the type of skin: normal–oily and normal–dry, and 40 participants were randomized for evaluation of the periocular area (with the presence of wrinkles, expression lines, and dark circles) with both types of skin. The groups received serum for normal–oily skin, a cream for normal–dry skin, and a cream for periocular and eyelid skin (eye area). All the participants were evaluated by a dermatologist and submitted to hydration evaluation by corneometry, elasticity and firmness measures complementarily, and images were collected in confocal reflectance microscopy. Results Topical skin treatment with the association of SCA with antioxidant ingredients (green coffee oil, olive oil, ectoine, hyaluronic acid, and peptides) was able to promote significant clinical and subjective improvement of all signs of skin aging. This improvement was presented at the epidermal level, with improved hydration levels measured by corneometry and epidermal thickness, and at the dermal level, with improvement of the firmness and elasticity parameters, measured by cutometry, from 45 days of use. Conclusion All the evaluated topical formulations seemed to be an effective alternative for the progressive treatment of signs of skin aging, since they demonstrate a real improvement of dermal–epidermal structure and function with high safety margin for long-term use.
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12
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Chang CY, Tung YT, Lin YK, Liao CC, Chiu CF, Tung TH, Shabrina A, Huang SY. Effects of Caloric Restriction with Protein Supplementation on Plasma Protein Profiles in Middle-Aged Women with Metabolic Syndrome-A Preliminary Open Study. J Clin Med 2019; 8:jcm8020195. [PMID: 30736312 PMCID: PMC6406984 DOI: 10.3390/jcm8020195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 02/01/2019] [Accepted: 02/02/2019] [Indexed: 11/17/2022] Open
Abstract
Background: Clinical studies have demonstrated that higher protein intake based on caloric restriction (CR) alleviates metabolic abnormalities. However, no study has examined the effects of plasma protein profiles on caloric restriction with protein supplementation (CRPS) in metabolic syndrome (MetS). Therefore, using a proteomic perspective, this pilot study investigated whether CRPS ameliorated metabolic abnormalities associated with MetS in middle-aged women. Methods: Plasma samples of middle-aged women with MetS in CR (n = 7) and CRPS (n = 6) groups for a 12-week intervention were obtained and their protein profiles were analysed. Briefly, blood samples from qualified participants were drawn before and after the dietary treatment. Anthropometric, clinical, and biochemical variables were measured and correlated with plasma proteomics. Results: In results, we found that body mass index, total body fat, and fasting blood glucose decreased significantly after the interventions but were not different between the CR and CRPS groups. After liquid chromatography–tandem mass spectrometry analysis, the relative plasma levels of alpha-2-macroglobulin (A2M), C4b-binding protein alpha chain (C4BPA), complement C1r subcomponent-like protein (C1RL), complement component C6 (C6), complement component C8 gamma chain (C8G), and vitamin K-dependent protein S (PROS) were significantly different between the CRPS and CR groups. These proteins are involved in inflammation, the immune system, and coagulation responses. Moreover, blood low-density lipoprotein cholesterol levels were significantly and positively correlated with C6 plasma levels in both groups. Conclusions: These findings suggest that CRPS improves inflammatory responses in middle-aged women with MetS. Specific plasma protein expression (i.e., A2M, C4BPA, C1RL, C6, C8G, and PROS) associated with the complement system was highly correlated with fasting blood glucose (FBG), blood lipids (BLs), and body fat.
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Affiliation(s)
- Chia-Yu Chang
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan.
| | - Yu-Tang Tung
- Graduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei 110, Taiwan.
| | - Yen-Kuang Lin
- Biostatistics Center, Taipei Medical University, Taipei 110, Taiwan.
| | - Chen-Chung Liao
- Proteomics Research Center, National Yang-Ming University, Taipei 112, Taiwan.
| | - Ching-Feng Chiu
- Graduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei 110, Taiwan.
| | - Te-Hsuan Tung
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan.
| | - Amalina Shabrina
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan.
| | - Shih-Yi Huang
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan.
- Graduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei 110, Taiwan.
- Center for Reproductive Medicine & Sciences, Taipei Medical University Hospital, Taipei 110, Taiwan.
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