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Ke P, Xu M, Feng J, Tian Q, He Y, Lu K, Lu Z. Association between weight change and risk of liver fibrosis in adults with type 2 diabetes. J Glob Health 2023; 13:04138. [PMID: 37856776 PMCID: PMC10586795 DOI: 10.7189/jogh.13.04138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023] Open
Abstract
Background Liver fibrosis plays a key role in the progression of non-alcoholic fatty liver disease to cirrhosis. Considering weight change is known to be closely associated with increased risk of liver fibrosis, we aimed to address a gap in evidence regarding the existence of this association in patients with type 2 diabetes (T2D). Methods We included data on 622 T2D patients and 1618 non-T2D participants from the 2017-2018 cycle of the National Health and Nutrition Examination Survey (NHANES). We assessed liver fibrosis by the median values of liver stiffness measurement (LSM). According to the participants' body mass index (BMI) at age 25 (early adulthood), 10 years prior (middle adulthood), and at the 2017-2018 cycle (late adulthood), we categorised weight change patterns into stable non-obese, weight loss, weight gain, and stable obese. We applied logistic regression to association analysis and used population attributable fraction (PAF) to analyses hypothetical prevention regimens. Results The prevalence of liver fibrosis was higher in T2D patients (23.04%) than in non-T2D participants (6.70%), while weight change was associated with a greater risk of fibrosis in the former compared to the latter group. Compared with T2D patients in the stable non-obese group, stable obese individuals from 10 years prior to the 2017-2018 cycle had the highest risk of developing liver fibrosis, corresponding to an adjusted odds ratio (aOR) of 3.13 (95% confidence interval = 1.84-5.48). Absolute weight change patterns showed that the risk of liver fibrosis was highest (aOR = 2.94) when T2D patients gained at least 20 kg of weight from 10 years prior to 2017-2018 cycle. Conclusions Obesity in middle and late adulthood is associated with an increased risk of T2D complicated with liver fibrosis.
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Affiliation(s)
- Pan Ke
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Minzhi Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jie Feng
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qingfeng Tian
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yan He
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Kai Lu
- Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zuxun Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Abstract
The prevalence of preobesity and obesity is rising globally, multiple epidemiologic studies have identified preobesity and obesity as predisposing factors to a number of noncommunicable diseases including type 2 diabetes (T2DM), cardiovascular disease (CVD), and cancer. In this review, we discuss the epidemiology of obesity in both children and adults in different regions of the world. We also explore the impact of obesity as a disease not only on physical and mental health but also its economic impact.
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Affiliation(s)
- Nasreen Alfaris
- King Fahad Medical City, 3895 Susah, Alwurud, Riyadh 12252-7111, Saudi Arabia.
| | | | - Naji Alamuddin
- RCSI Bahrain, King Hamad University Hospital, Alsayh, Sheikh Eisa Bin Salman Bridge, 7J62+X92, Bahrain
| | - Georgia Rigas
- St George Private Hospital, 1 South Street, Kogarah, New South Wales 2217, Australia
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3
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Weight Change across Adulthood in Relation to Non-Alcoholic Fatty Liver Disease among Non-Obese Individuals. Nutrients 2022; 14:nu14102140. [PMID: 35631281 PMCID: PMC9144793 DOI: 10.3390/nu14102140] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/15/2022] [Accepted: 05/17/2022] [Indexed: 02/06/2023] Open
Abstract
Background: To investigate the associations of weight change patterns across adulthood with the risk of non-alcoholic fatty liver disease (NAFLD). Methods: Using data from the National Health and Nutrition Examination Survey (NHANES) 2017–2018 cycle, we performed a retrospective cohort study with 2212 non-obese participants aged 36 years old over. Weight change patterns were categorized as “stable non-obese”, “early adulthood weight gain”, “middle and late adulthood weight gain” and “revert to non-obese” according to the body mass index (BMI) at age 25, 10 years prior and at baseline. Vibration-controlled transient elastography (VCTE) was performed to diagnose NAFLD. Modified Poisson regression was used to quantify the associations of weight change patterns with NAFLD. Results: Compared with participants in the “stable non-obese” group, those who gained weight at early or middle and late adulthood had an increased risk of NAFLD, with an adjusted rate ratio (RR) of 2.19 (95% CI 1.64–2.91) and 1.92 (95% CI 1.40–2.62), respectively. The risk of NAFLD in “revert to the non-obese” group showed no significant difference with the stable non-obese group. If the association of weight change and NAFLD was causal, we estimated that 73.09% (95% CI 55.62–82.93%) of incident NAFLD would be prevented if the total population had a normal BMI across adulthood. Conclusions: Weight gain to obese at early or middle and late adulthood was associated with an evaluated risk of NAFLD. A large proportion would have been prevented with effective weight intervention.
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Bhangoo A, Gupta R, Shelov SP, Carey DE, Accacha S, Fennoy I, Altshuler L, Lowell B, Rapaport R, Rosenfeld W, Speiser PW, Ten S, Rosenbaum M. Fasting Serum IGFBP-1 as a Marker of Insulin Resistance in Diverse School Age Groups. Front Endocrinol (Lausanne) 2022; 13:840361. [PMID: 35586622 PMCID: PMC9108162 DOI: 10.3389/fendo.2022.840361] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction The known markers of insulin resistance in obese children are well studied. However, they require serial measurements and complicated calculations. The objective is to study IGFBP-1 and its relation with other known risk measures. Materials and Methods The study included 98 New York City school students of diverse ethnic/racial backgrounds (57 males and 41 females), 11-15 years of age. Subjects were enrolled in a cross-sectional study, and anthropometric measures were collected. They underwent fasting intravenous glucose tolerance tests (IVGTT), and glucose, insulin, lipids, IGFBP-1, adiponectin and inflammatory markers were collected. Results The subjects were stratified into 3 groups based upon the BMI Z-score. Out of all the subjects, 65.3% were in the group with a BMI Z-score <1 SDS, 16.3% subjects were in the group with a BMI Z-score of 1 to 2 SDS, and 18.4% of the subjects were in the group with a BMI Z-score of more than 2 SDS. The group with a BMI Z-score of more than 2 SDS had increased waist circumference (WC), body fat, increased fasting insulin, and triglycerides (TG). This group had decreased levels of adiponectin and HDL and low IGFBP-1 as compared to the group with BMI <1 SDS. The group with a BMI Z-score of 1 to 2 SDS had a decreased level of IGFBP-1 as compared to the group with a BMI Z-score less than 1 SDS. IGFBP-1 inversely correlated with age, WC, BMI, body fat, TG, and insulin levels. IGFBP-1 positively correlated with adiponectin and HDL levels. Conclusion IGFBP-1 in children can identify the presence of insulin resistance in the group with BMI 1 to 2 SDS, even before the known markers of insulin resistance such as elevated triglycerides and even before decreased HDL and adiponectin levels are identified.
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Affiliation(s)
- Amrit Bhangoo
- Division of Pediatric Endocrinology, Children’s Hospital of Orange County, Orange, CA, United States
| | - Rishi Gupta
- Division of Pediatric Endocrinology, Children’s Hospital of Orange County, Orange, CA, United States
- Department of Pediatrics, Division of Pediatric Gastroenterology and Endocrinology, University of Rochester Medical Center, Rochester, NY, United States
| | - Steve P. Shelov
- Department of Pediatrics, Winthrop University Hospital, Mineola, NY, United States
| | - Dennis E. Carey
- Division of Pediatric Endocrinology, Northwell Health, Lake Success, NY, United States
| | - Siham Accacha
- Department of Pediatrics, Winthrop University Hospital, Mineola, NY, United States
| | - Ilene Fennoy
- Division of Pediatric Endocrinology, New York Presbyterian Morgan Stanley Children’s Hospital, New York, NY, United States
| | - Lisa Altshuler
- Program for Medical Education Innovations & Research (PrMeir), New York University (NYU) Grossman School of Medicine, New York, NY, United States
| | - Barbara Lowell
- Laboratory of Diabetes, Obesity and Other Metabolic Disorders, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Robert Rapaport
- Division of Pediatric Endocrinology and Diabetes at Mount Sinai Kravis Children’s Hospital, New York, NY, United States
| | - Warren Rosenfeld
- Department of Pediatrics, Winthrop University Hospital, Mineola, NY, United States
| | - Phyllis W. Speiser
- Cohen Children’s Medical Center of NY and Zucker School of Medicine, New Hyde Park, NY, United States
| | - Svetlana Ten
- Division of Pediatric Endocrinology, Richmond University Medical Center, Staten Island, NY, United States
| | - Michael Rosenbaum
- Department of Pediatrics, Division of Molecular Genetics, New York Presbyterian Medical Center, New York, NY, United States
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Wang QL, Song M, Clinton SK, Mucci LA, Lagergren J, Giovannucci EL. Longitudinal trajectories of lifetime body shape and prostate cancer angiogenesis. Eur J Epidemiol 2022; 37:261-270. [PMID: 35025021 DOI: 10.1007/s10654-021-00838-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 12/27/2021] [Indexed: 12/13/2022]
Abstract
Angiogenesis potentially underlies the pathway between excess adiposity and prostate carcinogenesis. This study examined the association between lifetime body shape trajectories and prostate cancer angiogenesis. 521 prostate cancer patients who underwent prostatectomy or transurethral resection between 1986 and 2000 were enrolled from the Health Professionals Follow-up Study. Cancers were immunostained and quantitated for cancer vessel regularity, diameter, area, and density, and composite angiogenesis (factor analysis). To identify distinct groups of body shape change, we conducted group-based trajectory modeling. We used multivariable linear regression to estimate the percentage difference in angiogenesis score and 95% confidence interval (CI) between body shape change trajectories during lifetime (age 5-60 years), early life (age 5-30 years), or later life (age 30-60 years). Compared to men with lifetime lean or medium body shape, higher angiogenesis scores were observed in men with moderate increase [percentage difference of 35% (95% CI 5-64)], marked increase [24% (95% CI - 2 to 51)], and constantly heavy with mild increase body shape [38% (95% CI 8-69)]. However, a lower angiogenesis score was noted in men with early-life marked increase (- 22%, 95% CI - 44 to 0) and stable medium body shape (- 14%, 95% CI - 40 to 12), compared to moderate increase body shape. Increased angiogenesis was also found for absolute weight gain from age 21-60 years. Lifetime body fatness accumulation, especially after age 21, was associated with increased prostate cancer angiogenesis, while weight gain in early-life adulthood was associated with lower cancer angiogenesis.
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Affiliation(s)
- Qiao-Li Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Room 371, Bldg. 2, 665 Huntington Avenue, Boston, MA, 02115, USA. .,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. .,Upper Gastrointestinal Surgery, Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden. .,Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Room 821, Smith Building, 450 Brookline Avenue, Boston, MA, 02215, USA.
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Room 371, Bldg. 2, 665 Huntington Avenue, Boston, MA, 02115, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, USA
| | - Steven K Clinton
- Division of Medical Oncology, Department of Internal Medicine, and the Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jesper Lagergren
- Upper Gastrointestinal Surgery, Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Room 371, Bldg. 2, 665 Huntington Avenue, Boston, MA, 02115, USA. .,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. .,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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Associations between body shape across the life course and adulthood concentrations of sex hormones in men and pre- and postmenopausal women: a multicohort study. Br J Nutr 2021; 127:1000-1009. [PMID: 34187605 PMCID: PMC9210158 DOI: 10.1017/s0007114521001732] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The objective was to investigate associations between life-course adiposity and sex hormone concentrations: trajectory of adiposity from age 5 to 40 (premenopausal)/60 (postmenopausal women and men) in relation to levels of oestrone (E1), oestradiol (E2), sex hormone-binding globulins (SHBG), testosterone in 4801 premenopausal and 6019 postmenopausal women in the Nurses' Health Study (NHS) and NHS II, and 2431 men in the Health Professionals Follow-up Study. We used group-based trajectory models to identify groups within each cohort based on recalled somatotypes and reported BMI. Multivariate linear regression models were used to compare sex hormone concentration across different trajectory groups. The mean age at blood draw was 64·1 ± 8·1 years for men, 59·4 ± 6·0 for postmenopausal and 44·1 ± 4·6 for premenopausal women. In men, compared with the medium-stable group, lean-marked increase and medium increase groups had lower levels of SHBG (percentage difference: -17 and -9 %) and testosterone (-15 and -13 %). In postmenopausal women, compared with the medium-stable group, lean-marked increase and medium increase groups had higher levels of E1 (21 and 34 %) and E2 (45 and 68 %) but lower level of SHBG (-29 and -35 %). In premenopausal women, compared with the lean-moderate increase group, medium-stable/increase and heavy-stable/increase groups had lower levels of SHBG (-6 and -28 %). Attained adulthood adiposity and middle-life weight gain were associated with lower SHBG and testosterone in men, higher E1 and E2 and lower SHBG in postmenopausal women, and lower SHBG in premenopausal women. The study indicates the importance of maintaining a healthy body weight throughout life course for homoeostasis of sex hormones.
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De Rubeis V, Andreacchi AT, Sharpe I, Griffith LE, Keown‐Stoneman CDG, Anderson LN. Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review. Obes Sci Pract 2020. [PMCID: PMC7909593 DOI: 10.1002/osp4.456] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Background Group‐based trajectory modeling has been applied to identify distinct trajectories of growth across the life course. Objectives of this study were to describe the methodological approaches for group‐based modeling of growth across the life course and to summarize outcomes across studies. Methods A scoping review with a systematic search of Medline, EMBASE, CINAL, and Web of Science was conducted. Studies that used a group‐based procedure to identify trajectories on any statistical software were included. Data were extracted on trajectory methodology, measures of growth, and association with outcomes. Results A total of 59 studies were included, and most were published from 2013 to 2020. Body mass index was the most common measure of growth (n = 43). The median number of identified trajectories was 4 (range: 2–9). PROC TRAJ in SAS was used by 33 studies, other procedures used include TRAJ in STATA, lcmm in R, and Mplus. Most studies evaluated associations between growth trajectories and chronic disease outcomes (n = 22). Conclusions Group‐based trajectory modeling of growth in adults is emerging in epidemiologic research, with four distinct trajectories observed somewhat consistently from all studies. Understanding life course growth trajectories may provide further insight for population health interventions.
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Affiliation(s)
- Vanessa De Rubeis
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
| | - Alessandra T. Andreacchi
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
| | - Isobel Sharpe
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
| | - Lauren E. Griffith
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
| | - Charles D. G. Keown‐Stoneman
- Applied Health Research Centre Li Ka Shing Knowledge Institute St. Michael's Hospital University of Toronto Toronto Ontario Canada
- Division of Biostatistics Dalla Lana School of Public Health University of Toronto Toronto Ontario Canada
| | - Laura N. Anderson
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
- Child Health Evaluative Sciences The Hospital for Sick Children Research Institute Toronto Ontario Canada
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8
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Hang D, He X, Kværner AS, Chan AT, Wu K, Ogino S, Hu Z, Shen H, Pollak MN, Giovannucci EL, Song M. Plasma Biomarkers of Insulin and the Insulin-like Growth Factor Axis, and Risk of Colorectal Adenoma and Serrated Polyp. JNCI Cancer Spectr 2019; 3:pkz056. [PMID: 32328558 PMCID: PMC7050032 DOI: 10.1093/jncics/pkz056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 06/11/2019] [Accepted: 07/26/2019] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Hyperinsulinemia, high insulin-like growth factor 1 (IGF1) levels, and low IGF binding protein 1 (IGFBP1) levels have been implicated in the relationship between obesity and increased risk of colorectal cancer (CRC). However, it remains inconclusive whether circulating biomarkers of insulin and the IGF axis are associated with conventional adenoma and serrated polyp, the two distinct groups of CRC precursors. METHODS We prospectively examined the associations of plasma C-peptide, IGF1, IGFBP1, IGFBP3, and IGF1 to IGFBP3 ratio with conventional adenoma and serrated polyp among 11 072 women from the Nurses' Health Studies. Multivariable logistic regression was used to calculate the odds ratio (OR) per 1-SD increase in each biomarker for overall risk of conventional adenoma and serrated polyp and according to polyp feature. RESULTS During 20 years of follow-up, we documented 1234 conventional adenomas and 914 serrated polyps. After adjusting for various lifestyle factors (including body mass index), higher concentrations of IGFBP1 were associated with lower risk of serrated polyp (OR = 0.84, 95% confidence interval = 0.75 to 0.95, P = .005). The association was particularly strong for large serrated polyp (≥10 mm) located in the distal colon and rectum (OR = 0.59, 95% confidence interval = 0.39 to 0.87, P = .01). In contrast, we did not find any statistically significant association between the biomarkers and conventional adenoma. CONCLUSIONS A higher plasma level of IGFBP1 was associated with lower risk of serrated polyp. Our findings support a potential role of IGFBP1 in the serrated pathway of CRC in women.
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Affiliation(s)
- Dong Hang
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Xiaosheng He
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Department of Colorectal Surgery, the Six Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ane Sørlie Kværner
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Shuji Ogino
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA
- Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Michael N Pollak
- Department of Oncology, McGill University, Montreal, Quebec, Canada
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
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Yang Y, Dugué PA, Lynch BM, Hodge AM, Karahalios A, MacInnis RJ, Milne RL, Giles GG, English DR. Trajectories of body mass index in adulthood and all-cause and cause-specific mortality in the Melbourne Collaborative Cohort Study. BMJ Open 2019; 9:e030078. [PMID: 31401610 PMCID: PMC6701564 DOI: 10.1136/bmjopen-2019-030078] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 06/07/2019] [Accepted: 07/08/2019] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Limited research has assessed the association between patterns of body mass index (BMI) change across adulthood and mortality. We aimed to identify groups of individuals who followed specific group-based BMI trajectories across adulthood, using weight collected on three occasions and recalled data from early adulthood, and to examine associations with all-cause and cause-specific mortality. DESIGN Prospective cohort study. SETTING Melbourne, Australia. PARTICIPANTS Adults (n=29 881) enrolled in the Melbourne Collaborative Cohort Study, who were aged from 40 to 70 years between 1990 and 1994, and had BMI data for at least three time points. OUTCOME Deaths from any cause before 31 March 2017 and deaths from obesity-related cancers, cardiovascular diseases (CVDs) and other causes before 31 December 2013. RESULTS We identified six group-based BMI trajectories: lower-normal stable (TR1), higher-normal stable (TR2), normal to overweight (TR3), chronic borderline obesity (TR4), normal to class I obesity (TR5) and overweight to class II obesity (TR6). Generally, compared with maintaining lower-normal BMI throughout adulthood, the lowest mortality was experienced by participants who maintained higher-normal BMI (HR 0.90; 95% CI 0.84 to 0.97); obesity during midlife was associated with higher all-cause mortality even when BMI was normal in early adulthood (HR 1.09; 95% CI 0.98 to 1.21) and prolonged borderline obesity from early adulthood was also associated with elevated mortality (HR 1.16; 95% CI 1.01 to 1.33). These associations were stronger for never-smokers and for death due to obesity-related cancers. Being overweight in early adulthood and becoming class II obese was associated with higher CVD mortality relative to maintaining lower-normal BMI (HR 2.27; 95% CI 1.34 to 3.87). CONCLUSION Our findings highlight the importance of weight management throughout adulthood to reduce mortality.
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Affiliation(s)
- Yi Yang
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Univerisity of Melbourne, Melbourne, VIC, Australia
| | - Pierre-Antoine Dugué
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Univerisity of Melbourne, Melbourne, VIC, Australia
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Univerisity of Melbourne, Melbourne, VIC, Australia
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Allison M Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Univerisity of Melbourne, Melbourne, VIC, Australia
| | - Amalia Karahalios
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Univerisity of Melbourne, Melbourne, VIC, Australia
| | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Univerisity of Melbourne, Melbourne, VIC, Australia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Univerisity of Melbourne, Melbourne, VIC, Australia
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Univerisity of Melbourne, Melbourne, VIC, Australia
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Univerisity of Melbourne, Melbourne, VIC, Australia
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10
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Song M. Trajectory analysis in obesity epidemiology: a promising life course approach. CURRENT OPINION IN ENDOCRINE AND METABOLIC RESEARCH 2019; 4:37-41. [PMID: 30906899 PMCID: PMC6426320 DOI: 10.1016/j.coemr.2018.08.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Mingyang Song
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA
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