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Saade Y, Deraz O, Chatzopoulou E, Rangé H, Boutouyrie P, Perier MC, Guibout C, Thomas F, Danchin N, Jouven X, Bouchard P, Empana JP. Recalled body silhouette trajectories over the lifespan and oral conditions in adulthood: A cross-sectional analysis of the Paris Prospective Study 3. Community Dent Oral Epidemiol 2024; 52:518-526. [PMID: 38273719 DOI: 10.1111/cdoe.12946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 01/07/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024]
Abstract
OBJECTIVES To examine the association between life-course body silhouette changes and oral conditions in adulthood. METHODS At study recruitment (2008-2012), 5430 adults underwent a full-mouth clinical examination and recalled their body silhouettes at ages 8, 15, 25, 35 and 45. Life-course trajectories of body silhouettes were computed using group-based trajectory modelling. Gingival inflammation, dental plaque, masticatory units, numbers of healthy, missing, decayed and filled teeth at study recruitment were clustered. The associations between body silhouette trajectories and clusters of oral conditions were assessed by multinomial logistic regression. RESULTS The final analysis included 4472 participants. Five body silhouette trajectories were established: lean-stable (30.0%), lean-increased (19.3%), moderate stable (18.1%), lean-marked increased (25.8%) and heavy stable (6.7%). Three clusters of oral conditions were identified: optimal oral health and preserved masticatory capacity (70.0%, cluster 1), moderate oral health and moderately impaired masticatory capacity (25.4%, cluster 2) and poor oral health and severely impaired masticatory capacity (4.7%, cluster 3). Participants with a lean-increased trajectory were 58% more likely than those with a lean-stable trajectory to be in cluster 3 (aOR 1.58 [95% CI 1.07; 2.35]) relative to cluster 1, independently of covariates measured at study recruitment and including age, sex, smoking, socioeconomic status, BMI, hypertension, type 2 diabetes, cholesterol and triglycerides. CONCLUSIONS A life-course lean-increased body silhouette trajectory is associated with higher likelihood of poor oral health and severely impaired masticatory capacity in adulthood.
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Affiliation(s)
- Yara Saade
- Department of Periodontology, Université Paris Cité, Paris, France
- Rothschild Hospital, APHP, Paris, France
| | - Omar Deraz
- Paris Cardiovascular Research Centre (PARCC), INSERM U 970, Integrative Epidemiology of Cardiovascular Disease, Université Paris Cité, Paris, France
| | - Eirini Chatzopoulou
- Department of Periodontology, Université Paris Cité, Paris, France
- UFR Odontologie, URP 2496 Pathologies, Imagerie et Biothérapies Orofaciales et plateforme imagerie du vivant, Université Paris Cité, Paris, France
| | - Hélène Rangé
- Department of Periodontology, Université Paris Cité, Paris, France
- UFR Odontologie, URP 2496 Pathologies, Imagerie et Biothérapies Orofaciales et plateforme imagerie du vivant, Université Paris Cité, Paris, France
- Department of Periodontology, Service of Odontology, University hospital of Rennes, University of Rennes 1, U.F.R. of Odontology, Paris, France
- INSERM, INRAE, University of Rennes 1 NUMECAN Institute (Nutrition Metabolisms and Cancer), Rennes, France
- FHU PaCeMM Paris Center for Microbiome Medicine, Paris, France
| | - Pierre Boutouyrie
- Paris Cardiovascular Research Centre (PARCC), INSERM U 970, Integrative Epidemiology of Cardiovascular Disease, Université Paris Cité, Paris, France
| | - Marie-Cécile Perier
- Paris Cardiovascular Research Centre (PARCC), INSERM U 970, Integrative Epidemiology of Cardiovascular Disease, Université Paris Cité, Paris, France
| | - Catherine Guibout
- Paris Cardiovascular Research Centre (PARCC), INSERM U 970, Integrative Epidemiology of Cardiovascular Disease, Université Paris Cité, Paris, France
| | | | - Nicolas Danchin
- Preventive and Clinical Investigation Center (IPC), Paris, France
| | - Xavier Jouven
- Paris Cardiovascular Research Centre (PARCC), INSERM U 970, Integrative Epidemiology of Cardiovascular Disease, Université Paris Cité, Paris, France
| | - Philippe Bouchard
- Department of Periodontology, Université Paris Cité, Paris, France
- UFR Odontologie, URP 2496 Pathologies, Imagerie et Biothérapies Orofaciales et plateforme imagerie du vivant, Université Paris Cité, Paris, France
| | - Jean-Philippe Empana
- Paris Cardiovascular Research Centre (PARCC), INSERM U 970, Integrative Epidemiology of Cardiovascular Disease, Université Paris Cité, Paris, France
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Gong HJ, Tang X, Zhou JB. The association between weight change patterns and obesity-related complex multimorbidity: evidence from NHANES. Front Endocrinol (Lausanne) 2024; 15:1400204. [PMID: 38974571 PMCID: PMC11224475 DOI: 10.3389/fendo.2024.1400204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 05/31/2024] [Indexed: 07/09/2024] Open
Abstract
Objective Obesity is a major risk factor for non-communicable diseases (NCDs), which has been the leading cause of death nowadays. The aim of this study is to examine the association between total changes in body mass index (BMI) across adulthood and the risk of obesity-related complex multimorbidity in elderly, characterizing the capacity of BMI waves in predicting major chronic diseases. Methods In this retrospective study, 15,520 participants were analyzed from the National Health and Nutrition Examination Survey (NHANES) from 1999 and 2018. BMI was categorized as obesity (≥30.0 kg/m²), overweight (25.0-29.9 kg/m²), normal weight (18.5-24.9 kg/m²), and underweight (<18.5 kg/m²). Odds ratios (ORs) with 95% confidence interval (CIs) for the relationship between BMI change patterns and major health outcomes included hypertension, cancer, chronic obstructive pulmonary disease, cardiovascular disease, and diabetes, and population attributable fractions (PAFs) of BMI were evaluated. Results In comparison with participants who remained non-obese, those who are stable obese showed the highest risks of developing at least one chronic disease in later life, with odds ratios of 2.76 (95% CI: 2.20 to 3.45) from age 25 years to 10 years before baseline, 2.90 (2.28 to 3.68) from age 25 years to baseline, and 2.49 (2.11 to 2.95) in the 10-year period before baseline. Moving from non-obese to obese weight-change pattern in all periods (from age 25 years to 10 years before baseline: OR = 1.82; 95% CI, 1.57 to 2.11; from age 25 years to baseline: OR = 1.87; 95% CI, 1.59 to 2.19; from 10 years before baseline to baseline: OR = 1.62; 95% CI, 1.26 to 2.08) and moving from obese to non-obese, the 10-year period before baseline (OR = 1.89; 95% CI, 1.39 to 2.57) was associated with increased risk of chronic diseases. Midlife obesity status can explain the 8.6% risk of occurrence of the chronic diseases in elderly. Conclusions Maintaining a stable healthy weight and losing weight in early adulthood and midlife are important for better life quality during the aging process. More effective strategies and policies to reduce the prevalence of obesity are needed.
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Affiliation(s)
- Hong-Jian Gong
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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Chen Y, Yu W, Lv J, Sun D, Pei P, Du H, Yang L, Chen Y, Zhang H, Chen J, Chen Z, Li L, Yu C. Early adulthood BMI and cardiovascular disease: a prospective cohort study from the China Kadoorie Biobank. Lancet Public Health 2024:S2468-2667(24)00043-4. [PMID: 38885669 DOI: 10.1016/s2468-2667(24)00043-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND The associations of early adulthood BMI with cardiovascular diseases have yet to be completely delineated. There is little reliable evidence about these associations among east Asian populations, that differ in fat distribution, disease patterns, and lifestyle factors from other populations. We aimed to study the associations between early adulthood BMI and cardiovascular diseases in a Chinese population, and the effect of midlife lifestyle factors on outcomes. METHODS In this prospective analysis, we used data from the China Kadoorie Biobank, a large and long-term cohort from five urban areas and five rural areas, using participants aged 35-70 years. The primary outcome was the incidence of cardiovascular diseases as a group, ischaemic heart disease, haemorrhagic stroke, and ischaemic stroke, which were obtained mainly through linkage to disease registries and the national database for health insurance claims. Early adulthood BMI was assessed through self-report at baseline survey. We used Cox proportional hazards regression models to examine the prospective associations. We also undertook multiplicative and additive interaction analyses to investigate the potential modification effect of midlife healthy lifestyle factors (a combined score covering smoking, drinking, physical activity, and diet). FINDINGS Participants were recruited for baseline survey between June, 2004, and July, 2008. During a median follow-up of 12·0 years (IQR 11·3-13·1), we documented 57 203 (15·9%) of incident cardiovascular diseases in 360 855 participants. After adjustment for potential confounders, monotonic dose-response associations were observed between higher early adulthood BMI and increased risks of incident cardiovascular diseases. Compared with an early adulthood BMI of 20·5-22·4 kg/m2 (the reference group), the hazard ratios for a BMI of less than 18·5 kg/m2 was 0·97 (95% CI 0·94-1·00), 18·5-20·4 kg/m2 was 0·97 (0·95-0·99), 22·5-23·9 kg/m2 was 1·04 (1·02-1·07), 24·0-25·9 kg/m2 was 1·12 (1·09-1·15), 26·0-27·9 kg/m2 was 1·19 (1·14-1·24), 28·0-29·9 kg/m2 was 1·34 (1·25-1·44), and ≥30·0 kg/m2 was 1·58 (1·42-1·75). Except for haemorrhagic stroke, lower early adulthood BMI (<20·5 kg/m2) was associated with decreased incident cardiovascular disease risks. No significant interaction was found between midlife healthy lifestyle factors and early adulthood BMI on cardiovascular disease risks. INTERPRETATION Increased risks of cardiovascular disease incidence were found among participants with high early adulthood adiposity, including ischaemic heart disease, haemorrhagic stroke, and ischaemic stroke. Our findings suggest early adulthood as an important time to focus on weight management and obesity prevention for cardiovascular health later in life. FUNDING National Natural Science Foundation of China, National Key Research and Development Program of China, Chinese Ministry of Science and Technology, Kadoorie Charitable Foundation, and the Wellcome Trust.
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Affiliation(s)
- Yuanyuan Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Wei Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Bejing, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Pei Pei
- Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Huaidong Du
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Huanxu Zhang
- Tongxiang Center for Disease Control and Prevention, Zhejiang, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Bejing, China.
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Reiband HK, Klemmensen RT, Rosthøj S, Sørensen TIA, Heitmann BL. Body weight in childhood, adolescence, and young adulthood in relation to later risk of disabilities and early retirement among Danish female nurses. Int J Obes (Lond) 2024; 48:859-866. [PMID: 38356024 DOI: 10.1038/s41366-024-01487-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 12/01/2023] [Accepted: 01/26/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Obesity is now the most common health problem in the younger population in Western societies and obesity rates are higher in lower socioeconomic status (SES) groups. We investigated whether overweight in childhood, independently of overweight in adulthood, influenced adult employment status and later risk of having disabilities. Using data from the Danish Female Nurse Cohort study, we examined associations between overweight in childhood/adolescence, and young adulthood and disabilities and early retirement in later adulthood (>44 years) and whether it was influenced by menopausal age ( RESULTS Our results showed that overweight in childhood, adolescence and young adulthood was associated with an increased risk of disabilities and early retirement. Especially childhood overweight that did not persist into adulthood was associated with an increased risk of disabilities (OR = 1.82, 95% CI = 1.26-2.63) and early retirement (OR = 2.05, 95% CI = 1.38-3.03) in the postmenopausal group. A similar increased risk for disabilities (OR = 1.76, 95% CI = 1.26-2.47) was seen for adolescent overweight that did not persist into adulthood. CONCLUSION The results show that in a well-educated population of women, overweight in childhood and/or adolescence had adverse socioeconomic consequences for later risk of disabilities and early retirement irrespective of weight status in adulthood.
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Affiliation(s)
- Hanna Kruse Reiband
- The Research Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark.
| | - Rikke Tannenberg Klemmensen
- The Research Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Susanne Rosthøj
- The Danish Cancer Institute, Research Centre, Copenhagen, Denmark
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Thorkild I A Sørensen
- Center for Childhood Health, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- NNF Centre for Basic Metabolic Health, University of Copenhagen, Copenhagen, Denmark
| | - Berit Lilienthal Heitmann
- The Research Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
- Department of Public Health, Section for general Practise, Faculty of Health and Medical Sciences University of Copenhagen, Copenhagen, Denmark
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Loonstra FC, de Ruiter LRJ, Strijbis EMM, de Jong BA, Uitdehaag BMJ. The association between weight during early life and multiple sclerosis onset in a nationwide Dutch birth year cohort. Nutr Neurosci 2024; 27:499-505. [PMID: 37409581 DOI: 10.1080/1028415x.2023.2225271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
BACKGROUND The relationship between being overweight during early life and disease course in multiple sclerosis (MS) is unresolved. We investigated the association between being overweight or obese during early life (childhood and adolescence) and MS case status, age of first symptom onset and onset type in people with MS (pwMS) of the same birth year. METHODS We enrolled 363 PwMS and 125 healthy controls (HC) from Project Y, a Dutch population-based cross-sectional cohort study including all PwMS born in 1966 and age and sex-matched HC. The associations between weight during childhood and adolescence (non-overweight vs. overweight or obese) and MS, age at symptom onset and onset type (relapsing vs. progressive) were assessed using logistic and linear regressions. In addition, sex-separated associations were explored. RESULTS Being overweight or obese during childhood (OR = 2.82, 95% CI 1.17-6.80) and adolescence (OR = 2.45, 95% CI 1.13-5.34) was associated with developing MS. Furthermore, being overweight or obese during adolescence was associated with a younger age of onset (β = -0.11, p = 0.041). Of all 47 patients with a primary progressive (PP) onset type, only one patient (2.1%) was overweight or obese during childhood, whereas 45 patients with a relapsing remitting (RR) onset (14.3%) were overweight or obese during childhood (PP vs. RR p = 0.017; PP vs. HC p = 0.676; RR vs. HC, p = 0.015). However, using logistic regression analysis we did not find evidence of a significant association. CONCLUSION In a nationwide population-based birth year cohort, being overweight or obese during childhood or adolescence is associated with MS prevalence and an earlier age of onset, but does not seem to associate with the type of onset.
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Affiliation(s)
- Floor C Loonstra
- MS Center Amsterdam, Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lodewijk R J de Ruiter
- MS Center Amsterdam, Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eva M M Strijbis
- MS Center Amsterdam, Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Brigit A de Jong
- MS Center Amsterdam, Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bernard M J Uitdehaag
- MS Center Amsterdam, Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Tashima N, Matsumoto H, Nishi K, Terada S, Kogo M, Nomura N, Morimoto C, Sunadome H, Nagasaki T, Oguma T, Nakatsuka Y, Murase K, Kawaguchi T, Tabara Y, Chin K, Sonomura K, Matsuda F, Hirai T. Evaluation of elevated plasma fatty acids as relevant factors for adult-onset asthma: The Nagahama Study. Allergol Int 2024; 73:65-70. [PMID: 37198086 DOI: 10.1016/j.alit.2023.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 03/22/2023] [Accepted: 04/08/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Obesity and increased body mass index (BMI) are the known risk factors for adult-onset asthma. Serum free fatty acid (FFA) and other blood lipid levels are generally elevated in patients with obesity and may be involved in the onset of asthma. However, it remains largely unknown. This study aimed to elucidate the relationship between plasma fatty acids and new-onset asthma. METHODS This community-based Nagahama Study in Japan enrolled 9804 residents. We conducted self-reporting questionnaires, lung function tests, and blood tests at baseline and 5 years later as follow-up. At the follow-up, plasma fatty acids were measured using gas chromatography-mass spectrometry. Body composition analysis was also measured at the follow-up. The associations between fatty acids and new-onset asthma were evaluated using a multifaceted approach, including targeted partial least squares discriminant analysis (PLS-DA). RESULTS In PLS-DA for new-onset asthma, palmitoleic acid was identified as the fatty acid most associated with asthma onset. In the multivariable analysis, higher levels of FFA, palmitoleic acid, or oleic acid were significantly associated with new-onset asthma, independent of other confounding factors. The high body fat percentage itself was not the relevant factor, but showed a positive interaction with plasma palmitoleic acid for new-onset asthma. When stratified by gender, the impacts of higher levels of FFA or palmitoleic acid on new-onset asthma remained significant in females, but not in males. CONCLUSIONS Elevated levels of plasma fatty acids, particularly palmitoleic acid, may be a relevant factor for new-onset asthma.
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Affiliation(s)
- Noriyuki Tashima
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hisako Matsumoto
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan; Department of Respiratory Medicine and Allergology, Kindai University Faculty of Medicine, Osaka, Japan.
| | - Kenta Nishi
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Satoru Terada
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Mariko Kogo
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Natsuko Nomura
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Chie Morimoto
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hironobu Sunadome
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan; Department of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tadao Nagasaki
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan; Department of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tsuyoshi Oguma
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yoshinari Nakatsuka
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan; Department of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kimihiko Murase
- Department of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan; Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Kazuo Chin
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan; Division of Sleep Medicine, Department of Sleep Medicine and Respiratory Care, Nihon University of Medicine, Tokyo, Japan
| | - Kazuhiro Sonomura
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan; Life Science Research Center, Technology Research Laboratory, Shimadzu Corporation, Kyoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Sun X, Du T. Trends in weight change patterns across life course among US adults, 1988-2018: population-based study. BMC Public Health 2023; 23:2168. [PMID: 37932673 PMCID: PMC10626664 DOI: 10.1186/s12889-023-17137-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 11/02/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND To examine trends in weight change patterns from young adulthood through midlife to late adulthood and their sex and racial/ethnic disparities among US adults from 1988 to 2018. METHODS A total of 48,969 participants from the National Health and Nutrition Examination Survey 1988-1994 and 2001-2018 were included. RESULTS The age-adjusted prevalence of stable non-obesity between young adulthood and midlife declined significantly from 84.1% (95 CI, 82.9-85.3%) in 1988-1994 to 68.7% (67.1-70.2%) in 2013-2018, and between midlife and late adulthood from 71.2% (69.2-73.1%) to 52.4% (50.5-54.2%). The magnitude of increase in the prevalence of weight gain from young adulthood to midlife (from 10.8% [9.9-11.6%] in 1988-1994 to 21.2% [20-22.3%] in 2013-2018; P < 0.001 for trend) was greater than that from midlife to late adulthood (from 14.1% [12.9-15.3%] to 17.2% [16.2-18.1%]; P = 0.002 for trend). The magnitude of increase in the prevalence of stable obesity from young adulthood to midlife (from 3.9% [3.1-4.8%] in 1988-1994 to 9.2% [8.2-10.3%] in 2013-2018; P < 0.001 for trend) was smaller than that from midlife to late adulthood (from 11.2% [10.1-12.2%] to 24.8% [23.3-26.3%]; P < 0.001 for trend). The declining trends in the prevalence of stable non-obesity and increasing trends in the prevalence of weight gain and stable obesity from young adulthood through midlife to late adulthood were also observed for all sex and race/ethnicity subgroups. The magnitude of decrease in the prevalence of stable non-obesity, and the magnitude of increase in the prevalence of weight gain from young adulthood through midlife to late adulthood were greater in men than in women (all P for interaction < 0.01). Weight gain patterns for those aged ≥ 65 years were substantially different from the younger age groups. CONCLUSIONS More young people born in later years are encountering obesity and accumulate greater obesity exposure across their lives than young people born in earlier years.
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Affiliation(s)
- Xingxing Sun
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Tingting Du
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, Hubei, China.
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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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Wang T, Dai B, Shi H, Li H, Fan K, Zhang D, Zhou Y. Weight change across adulthood in relation to the risk of depression. Front Psychol 2023; 14:1108093. [PMID: 37621933 PMCID: PMC10446764 DOI: 10.3389/fpsyg.2023.1108093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 07/27/2023] [Indexed: 08/26/2023] Open
Abstract
Background Studies examining weight change patterns and depression are scarce and report inconsistent findings. This study-aimed to elucidate the association between weight change patterns and the risk of depression in a large, representative sample of US adults. Methods Data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 was analyzed. Five weight change groups were categorized: stable normal, weight loss, weight gain, maximum overweight, and stable obesity. Depression was ascertained using the validated Patient Health Questionnaire (PHQ-9) and depression was defined as PHQ score ≥ 10. Results A total of 17,556 participants were included. Compared with participants who maintained normal weight, stable obesity participants had increased risks of depression across adulthood from age 25 years to 10 years before the survey (OR = 1.61, 95% CI =1.23 to 2.11), in the 10 years period before the survey (OR = 2.15, 95% CI =1.71 to 2.70), and from age 25 years to survey (OR = 1.88, 95% CI =1.44 to 2.44). Weight gain was associated with an increased risk of depression from age 25 years to 10 years before the survey (OR = 1.71, 95% CI = 1.41 to 2.04), in the 10 years period before the survey (OR = 1.73, 95% CI = 1.35 to 2.21), and for the period from age 25 years to survey (OR = 1.83, 95% CI = 1.49 to 2.24). In the stratified analyses, we found statistically significant interactions with sex. Conclusion Our study suggested that stable obesity and weight gain across adulthood were associated with increased risks of depression.
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Affiliation(s)
- Tao Wang
- School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, China
- Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China
| | - Bingqin Dai
- Shandong Provincial Center for Disease Control and Prevention, Jinan, China
| | - Huanchen Shi
- School of Basic Medicine, Qingdao University, Qingdao, China
| | - Huawei Li
- School of Nursing, Qingdao University, Qingdao, China
| | - Kexin Fan
- School of Nursing, Qingdao University, Qingdao, China
| | - Dongfeng Zhang
- School of Public Health, Qingdao University, Qingdao, China
| | - Yunping Zhou
- School of Nursing, Qingdao University, Qingdao, China
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Ouyang J, Lai Y, Wu L, Wang Y, Wu P, Ye YX, Yang X, Gao Y, Yuan J, Song X, Yan S, Lv C, Wang YX, Liu G, Hu Y, Pan A, Pan XF. Association between prepregnancy weight change and risk of gestational diabetes mellitus in Chinese pregnant women. Am J Clin Nutr 2023:S0002-9165(23)46845-1. [PMID: 37062367 DOI: 10.1016/j.ajcnut.2023.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 03/28/2023] [Accepted: 04/13/2023] [Indexed: 04/18/2023] Open
Abstract
BACKGROUND Evidence regarding prepregnancy weight change and gestational diabetes mellitus (GDM) is lacking among East Asian women. OBJECTIVE Our study aimed to investigate the association between weight change from age 18 years to pregnancy and GDM in Chinese pregnant women. METHODS Our analyses included 6972 pregnant women from the Tongji-Shuangliu Birth Cohort. Body weights were recalled for age 18 years and the time point immediately before pregnancy, while height was measured during early pregnancy. Prepregnancy weight change was calculated as the difference between weight immediately before pregnancy and weight at age 18 years. GDM outcomes were ascertained by 75-g oral glucose tolerance test. Multivariable logistic regression models were used to estimate the association between prepregnancy weight change and risk of GDM. RESULTS 501 (7.2%) developed GDM in the cohort. After multivariable adjustments, prepregnancy weight change was linearly associated with a higher risk of incident GDM (P < 0.001). Compared with participants with stable weight (weight change within 5.0 kg) before pregnancy, multivariable-adjusted odds ratios and 95% confidence intervals were 1.55 (1.22, 1.98) and 2.24 (1.78, 2.83) for participants with moderate (weight gain of 5-9.9 kg) and high (weight gain ≥ 10 kg) weight gain, respectively. In addition, overweight/obesity immediately before pregnancy mediated 17.6% and 31.7% of the associations of moderate and high weight gain with GDM risk, while weekly weight gain during pregnancy mediated 21.1% and 22.7% of the associations. CONCLUSIONS Weight gain from age 18 years to pregnancy was significantly associated with a higher risk of GDM. Maintaining weight stability, especially prevention of excessive weight gain from early adulthood to pregnancy could be a potential strategy to reduce GDM risk.
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Affiliation(s)
- Jing Ouyang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuwei Lai
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Linjing Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yi-Xiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China; Section of Epidemiology and Population Health & Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yanyu Gao
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jiaying Yuan
- Department of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu 610200, China
| | - Xingyue Song
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou 571199, China; Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou 571199, China
| | - Chuanzhu Lv
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou 571199, China; Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou 571199, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yayi Hu
- Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health & Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu 610200, China; Center for Epidemiology and Population Health, Integrated Traditional Chinese and Western Medicine Institute & Chengdu Integrated Traditional Chinese and Western Medicine Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu 610041, China.
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11
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Gong HJ, Tang X, Chai YH, Qiao YS, Xu H, Patel I, Zhang JY, Simó R, Zhou JB. Relationship Between Weight-Change Patterns and Cognitive Function: A Retrospective Study. J Alzheimers Dis 2023; 91:1085-1095. [PMID: 36565117 DOI: 10.3233/jad-220788] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Obesity has been linked to cognitive impairment. However, how changes in body mass index (BMI) over the life course influence cognitive function remains unclear. OBJECTIVE The influence of distinct weight-change patterns from young adulthood to midlife and late adulthood on cognitive function in older adults was explored. METHODS A total of 5,809 individuals aged≥60 years were included and categorized into four groups on the basis of BMI change patterns. Cognitive function was assessed using four cognition tests in the baseline survey. The relationship between the weight-change patterns and cognition was evaluated using regression models. RESULTS In comparison with participants who remained at non-obese, those moving from the non-obese to obese weight-change pattern from young (25 years of age) to middle adulthood showed lower Digit Symbol Substitution Test (DSST) scores (β= -1.28; 95% confidence interval [CI]: -2.24 to -0.32). A non-obese to obese change pattern from age 25 years of age to 10 years before baseline was associated with a higher risk of DSST impairment (odds ratio = 1.40; 95% CI: 1.09 to 1.79). In comparison with participants whose heaviest weight was recorded after 60 years of age, those with the heaviest weight between 18 and 40 years of age had lower DSST scores (β= -1.46; 95% CI: -2.77 to -1.52). CONCLUSION Our results suggest that the transition from the non-obese to obese category in early adulthood and appearance of the heaviest weight between 18 and 40 years of age are associated with lower cognitive function in later life.
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Affiliation(s)
- Hong-Jian Gong
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yin-He Chai
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yu-Shun Qiao
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hui Xu
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ikramulhaq Patel
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jin-Yan Zhang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Rafael Simó
- Derpartment of Endocrinology and Nutrition, Vall d'Hebron University Hospital, Autonomous University, Barcelona, Spain.,Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ICSIII), Madrid, Spain
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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12
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Xie W, Johnston SS, Waggoner JR, Doshi ID, Stokes AC. Bariatric surgery and weight loss in the short- and long-term: Evidence from NHANES 2015-2018. Clin Obes 2023; 13:e12563. [PMID: 36444393 PMCID: PMC10078337 DOI: 10.1111/cob.12563] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 10/13/2022] [Accepted: 10/26/2022] [Indexed: 11/30/2022]
Abstract
The present study aimed to examine short- and long-term weight change in a nationally representative sample of US adults who reportedly underwent bariatric surgery. Individuals aged 20-64 at survey from the US National Health and Nutrition Examination Survey 2015-2018 were included in the analyses (n = 6776). The primary comparison groups include 62 participants who underwent bariatric surgery, 1531 eligible but did not receive surgery, and 5183 not eligible for bariatric surgery. After adjusting for demographic characteristics and comorbidity, adults who reported receiving bariatric surgery were 5.0 times (4.0-6.0) more likely to achieve at least 20% weight loss from maximum weight relative to those who were eligible but reported no surgery. The likelihood appeared to be higher when surgery was performed within 10 years (short-term, PR 5.5, 95% CI: 4.0, 7.0) relative to surgeries that were performed for 10 or more years (long-term, PR 3.6, 95% CI: 2.0, 5.3). In this nationally representative sample of US adults, respondents who received bariatric surgery achieved substantial and significant weight loss compared with those who were eligible and did not receive bariatric surgery. Weight loss appeared to be most apparent in the short term and persisted over the long term.
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Affiliation(s)
- Wubin Xie
- School of Public HealthBoston UniversityBostonMassachusettsUSA
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13
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Alharbi TA, Ryan J, Freak-Poli R, Gasevic D, McNeil J, Woods RL, Britt C, Nelson MR, Owen AJ. Self-Reported Early and Later Life Weight and the Risk of All-Cause Mortality in Older Adults. J Nutr Health Aging 2023; 27:301-308. [PMID: 37170438 PMCID: PMC10353754 DOI: 10.1007/s12603-023-1907-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 01/25/2023] [Indexed: 05/13/2023]
Abstract
OBJECTIVES The extent to which body weight in early adulthood is associated with late-life mortality risk is unclear. This study aimed to determine the association between body mass index (BMI) in early adulthood (at 18 years of age) and older age (70 years and over), and the risk of mortality in later life. DESIGN Secondary analysis of the ASPREE Longitudinal Study of Older Persons (ALSOP). SETTING, PARTICIPANTS Data were from 14,853 relatively healthy community-dwelling Australians aged ≥ 70 years when enrolled in the study. MEASUREMENTS Self-reported weight at age ≥ 70 years and recalled weight at age 18 years were collected at ALSOP study baseline. Height was measured with a stadiometer and was used for calculation of BMI at both timepoints. BMI at each timepoint was defined as: underweight, normal weight, overweight and obese. Individuals were categorised into one of five 'lifetime' BMI groups: normal weight (BMI between 18.5 and 24.9 at both times), overweight (25.0-29.9 at either or both times), obesity to non-obese (≥30.0 at age 18 and <30.0 ≥ 70 years), non-obese to obesity (<30.0 at age 18 and ≥30.0 at age ≥ 70 years), and early and later life obesity (≥30.0 at both times). RESULTS During a median 4.7 years follow-up, 715 deaths occurred. Obesity at 18 years, but not in older age (p=0.44), was significantly associated with the risk of mortality in later life, even after accounting for current health status (HR: 2.35, 95% CI: 1.53-3.58, p<0.001). Compared with participants with normal BMI at both time points, being obese at both time points was associated with increased mortality risk (HR=1.99, 95% CI: 1.04-3.81, p=0.03), and the risk was even greater for individuals who were obese at 18 years but were no longer obese in older age (HR=2.92, 95% CI: 1.65-5.16, p<0.001), in fully adjusted models. Participants who were normal weight at 18 years and were obese in later life, did not have an increased mortality risk (p=0.78). CONCLUSIONS Obesity in early adulthood, and obesity in both early and later life, were associated with increased mortality risk in later life. This highlights the importance of preventing obesity in early adulthood and maintaining a normal weight over an adult lifespan.
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Affiliation(s)
- T A Alharbi
- Dr Alice J. Owen, Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd., Level 4, Melbourne VIC 3004, Australia, Tel: +61 3 9903 0416,
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14
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Anderson LN, Yoshida-Montezuma Y, Jambon M, Smith BT, Carsley S, Gonzalez A. Income precarity and child and parent weight change during the COVID-19 pandemic: a cross-sectional analysis of the Ontario Parent Survey. BMJ Open 2022; 12:e063653. [PMID: 36600386 PMCID: PMC9742846 DOI: 10.1136/bmjopen-2022-063653] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES To describe child and parent weight change during the pandemic, overall and by income precarity. DESIGN A cross-sectional online survey was conducted. SETTING Caregivers of children 0-17 years of age living in Ontario, Canada, during the COVID-19 pandemic from May 2021 to July 2021. PARTICIPANTS A convenience sample of parents (n=9099) with children (n=9667) living in Ontario were identified through crowdsourcing. PRIMARY OUTCOME MEASURE Parents recalled, for themselves and their child, whether they lost weight, gained weight or remained the same over the past year. OR and 95% CI were estimated using multinomial logistic regression for the association between income precarity variables and weight loss or gain, adjusted for age, gender and ethnicity. RESULTS Overall, 5.5% of children lost weight and 20.2% gained weight. Among adolescents, 11.1% lost weight and 27.1% gained weight. For parents, 17.1% reported weight loss and 57.7% reported weight gain. Parent weight change was strongly associated with child weight change. Income precarity measures, including job loss by both parents (OR=7.81, 95% CI 5.16 to 11.83) and disruption to household food supply (OR=6.05, 95% CI 4.77 to 7.68), were strongly associated with child weight loss. Similarly, job loss by both parents (OR=2.03, 95% CI 1.37 to 3.03) and disruption to household food supply (OR=2.99, 95% CI 2.52 to 3.54) were associated with child weight gain. CONCLUSIONS Weight changes during the COVID-19 pandemic were widespread and income precarity was strongly associated with weight loss and weight gain in children and parents. Further research is needed to investigate the health outcomes related to weight change during the pandemic, especially for youth, and the impacts of income precarity.
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Affiliation(s)
- Laura N Anderson
- Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Child Health Evaluative Sciences, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | | | - Marc Jambon
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Brendan T Smith
- Health Promotion, Chronic Disease and Injury Prevention Program, Public Health Ontario, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sarah Carsley
- Health Promotion, Chronic Disease and Injury Prevention Program, Public Health Ontario, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Andrea Gonzalez
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
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Recurrent pregnancy loss and incident arthritis in midlife: an exploratory longitudinal analysis of the Study of Women's Health Across the Nation. Ann Epidemiol 2022; 76:61-67. [DOI: 10.1016/j.annepidem.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 09/23/2022] [Accepted: 10/06/2022] [Indexed: 11/23/2022]
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Hebestreit A, Do S, Wolters M, Mensink GBM, Garnica-Rosas L, Abu-Omar K, Messing S, Neumann-Podczaska A, Wieczorowska-Tobis K, Lien N, Stanley I, Ahrens W, Murrin C. Towards a harmonized European surveillance for dietary and physical activity indicators in young and adult populations. Eur J Public Health 2022; 32:iv21-iv31. [PMID: 36444107 PMCID: PMC9706124 DOI: 10.1093/eurpub/ckac061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND The Policy Evaluation Network proposes a consolidated approach to measure comparable health indicators across European health surveillance systems to evaluate effectiveness of policy action. METHODS In a stepwise approach, questionnaire items used by the systems for measuring diet and physical activity data to describe health indicators were identified based on their validity, reliability, and suitability to monitor achievement of health recommendations. They were collated to unified questionnaire modules and discussed bilaterally with representatives of these systems to explore barriers and facilitators for implementation. Also, establishment of a methodological competence platform was proposed, in which the surveillance and monitoring systems agree on the priorities and common quality standards for the harmonization process and to coordinate the integration of questionnaire modules into existing systems. RESULTS In total, seven questionnaire modules were developed, of which two diet and two physical activity modules were proposed for implementation. Each module allows measurement of data reflecting only partial aspects of national and WHO recommendations related to diet and physical activity. Main barriers were the requirements of systems to monitor temporal trends and to minimize costs. Main facilitator for implementation was the systems' use of questionnaire items that were comparable to the unified modules. Representatives agreed to participate in a methodological competence platform. CONCLUSION We successfully took first steps in the realization of the roadmap towards a harmonization of European surveillance by introducing unified questionnaire modules allowing the collection of comparable health indicators and by initiating the establishment of a competence platform to guide this process.
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Affiliation(s)
- Antje Hebestreit
- Correspondence: Antje Hebestreit, Leibniz Institute for Prevention Research and Epidemiology—BIPS, Achterstrasse 30, 28359 Bremen, Germany, Tel: +49 (0) 421 218 56 849, e-mail: ,
| | - Stefanie Do
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany,Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Maike Wolters
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
| | - Gert B M Mensink
- Department of Epidemiology and Health Reporting, Robert Koch Institute, Berlin, Germany
| | - Lina Garnica-Rosas
- Department of Epidemiology and Health Reporting, Robert Koch Institute, Berlin, Germany
| | - Karim Abu-Omar
- Department of Sport Science and Sport, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Sven Messing
- Department of Sport Science and Sport, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | | | | | - Nanna Lien
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Isobel Stanley
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
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Ghazzawi HA, Alhaj OA, Nemer LS, Amawi AT, Trabelsi K, Jahrami HA. The Prevalence of "at Risk" Eating Disorders among Athletes in Jordan. Sports (Basel) 2022; 10:182. [PMID: 36422951 PMCID: PMC9693192 DOI: 10.3390/sports10110182] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/10/2022] [Accepted: 11/15/2022] [Indexed: 06/26/2024] Open
Abstract
Eating disorders (EDs) are addressed as one of the expanding mental health problems worldwide. While an ED is a clinical psychiatric diagnosis that can only be established after a psychiatric assessment, it is important to note that "at-risk" refers to people who will exhibit aberrant eating patterns but do not fully meet the requirements for an ED diagnosis. This study was designed to address the ED symptoms (i.e., "at-risk") in Jordanian athletes and their association with age, sex, body mass index (BMI), and type of sport. A convenient, cross-sectional study was conducted among 249 athlete participants by answering the Eating Attitude Test (EAT-26). The EAT-26 results indicated an ED prevalence of 34% among Jordanian athletes. Within "at-risk" ED athletes, sex, age, and BMI had no significant differences in the rates of EDs. Outdoor sports had the least effect on EDs, while the highest was amongst gymnastics. EDs prevalence is alarming among Jordanian athletes. Gymnastics is a risk factor for increasing EDs. Our results should be taken into consideration by physicians, mental health professionals, sports nutritionists, coaches, and sport medicine specialists. We recommend establishing strategies pertaining to mental health, especially EDs in sports centers, along with screening programs for those who demand additional assessment and supervision.
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Affiliation(s)
- Hadeel A. Ghazzawi
- Department Nutrition and Food Technology, School of Agriculture, The University of Jordan, Amman 11942, Jordan
| | - Omar A. Alhaj
- Department of Nutrition, Faculty of Pharmacy and Medical Sciences, University of Petra, Amman 1196, Jordan
| | - Lana S. Nemer
- Department Nutrition and Food Technology, School of Agriculture, The University of Jordan, Amman 11942, Jordan
| | - Adam T. Amawi
- Department of Physical and Health Education, Faculty of Educational Sciences, Al-Ahliyya Amman University, Al-Salt 19328, Jordan
| | - Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
- Research Laboratory Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax 3000, Tunisia
| | - Haitham A. Jahrami
- Ministry of Health, Manama 410, Bahrain
- Department of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama 323, Bahrain
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Arjani S, Saint-Maurice PF, Julián-Serrano S, Eibl G, Stolzenberg-Solomon R. Body Mass Index Trajectories Across the Adult Life Course and Pancreatic Cancer Risk. JNCI Cancer Spectr 2022; 6:6762867. [PMID: 36255251 PMCID: PMC9651977 DOI: 10.1093/jncics/pkac066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 09/09/2022] [Accepted: 09/16/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Body mass index (BMI) during adulthood has been associated with pancreatic ductal adenocarcinoma (PDAC), however, patterns of body size across the adult life course have not been studied extensively. We comprehensively evaluated the association between adiposity across adulthood and PDAC. METHODS We conducted a prospective analysis of 269 480 (162 735 males, 106 745 females) National Institutes of Health-AARP Diet and Health Study participants, aged 50-71 years (1995-1996) who self-reported height and weight history. Participants were followed through December 31, 2011. We examined associations between BMI (kg/m2) at ages 18, 35, 50, and 50-71 (baseline) years, their trajectories determined from latent-class trajectory modeling, and incident PDAC. Cox proportional hazard models were used to calculate multivariable adjusted hazards ratios (HRs) and 95% confidence intervals (CIs). RESULTS During up to 15.2 years of follow-up, 3092 (2020 males, 1072 females) patients with incident PDAC were identified. BMI at all 4 ages were statistically significantly associated with increased PDAC (per 5-unit increase, HR = 1.09-1.13) with higher magnitude associations in males than females at ages 35 years and older (Pinteraction < .05). Four BMI trajectories were created. Compared with normal-weight maintainers, normal-to-overweight, normal-to-obese class I, and overweight-to-obese class III trajectories had hazard ratios of 1.15 (95% CI = 1.06 to 1.25), 1.39 (95% CI = 1.25 to 1.54), and 1.48 (95% CI = 1.18 to 1.87), respectively (Pinteraction by sex = .07). CONCLUSIONS High BMI and BMI trajectories that result in overweight or obesity during adulthood were positively associated with PDAC, with stronger associations among those with early onset adiposity and those with male sex. Avoidance of excess body weight throughout the adult life course may prevent PDAC.
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Affiliation(s)
- Simran Arjani
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA,Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Pedro F Saint-Maurice
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Sachelly Julián-Serrano
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA,Department of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - Guido Eibl
- Department of Surgery, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA
| | - Rachael Stolzenberg-Solomon
- Correspondence to: Rachael Stolzenberg-Solomon, RD, MPH, PhD, Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, NCI Shady Grove, Room 6E420, Rockville, MD 20850, USA (e-mail: )
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19
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Nah BKY, Ng CH, Chan KE, Tan C, Aggarwal M, Zeng RW, Xiao J, Chin YH, Tan EXX, Ren YP, Chee D, Neo J, Chew NWS, Tseng M, Siddiqui MS, Sanyal AJ, Dan YY, Muthiah M. Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19169935. [PMID: 36011567 PMCID: PMC9408006 DOI: 10.3390/ijerph19169935] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/05/2022] [Accepted: 08/08/2022] [Indexed: 05/22/2023]
Abstract
Background: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease globally in tandem with the growing obesity epidemic. However, there is a lack of data on the relationship between historical weight changes 10 years ago and at present on NAFLD prevalence at the population level. Therefore, we sought to evaluate the relationship between weight classes and the prevalence of NAFLD. Methods: Data were used from the United States National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Univariate and multivariate general linear model analyses were used to obtain risk ratio (RR) estimations of NAFLD events. Results: In total, 34,486 individuals were analysed, with those who were lean at both time points as the control group. Overweight (RR: 14.73, 95%CI: 11.94 to 18.18, p < 0.01) or obese (RR: 31.51, 95%CI: 25.30 to 39.25, p < 0.01) individuals at both timepoints were more likely to develop NAFLD. Residual risk exists where previously obese individuals became overweight (RR: 14.72, 95%CI: 12.36 to 17.52, p < 0.01) or lean (RR: 2.46, 95%CI: 1.40 to 4.31, p = 0.02), and previously overweight individuals who became lean (RR 2.24, 95%CI 1.42 to 3.54, p = 0.01) had persistent elevated risk of developing NAFLD despite weight regression. Sensitivity analysis identified that a higher proportion of individuals with regression in weight class were diabetics and Mexican Americans, while fewer African Americans saw weight-class regression. Conclusions: Residual risk exists in patients who lost weight despite the smaller magnitude of effect, and targeted weight reductions should still be used to mitigate the risk of NAFLD at the population level.
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Affiliation(s)
- Benjamin Kai Yi Nah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore
| | - Cheng Han Ng
- MBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
- Correspondence: (C.H.N.); (M.M.); Tel.: +65-6772-3737 (C.H.N.); +65-6772-4354 (M.M.)
| | - Kai En Chan
- MBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Caitlyn Tan
- MBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Manik Aggarwal
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55902, USA
| | - Rebecca Wenling Zeng
- MBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Jieling Xiao
- MBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Yip Han Chin
- MBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Eunice X. X. Tan
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore
- MBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore 119228, Singapore
| | - Yi Ping Ren
- Department of Internal Medicine, National University Hospital, Singapore 119074, Singapore
| | - Douglas Chee
- Department of Internal Medicine, National University Hospital, Singapore 119074, Singapore
| | - Jonathan Neo
- Department of Internal Medicine, National University Hospital, Singapore 119074, Singapore
| | - Nicholas W. S. Chew
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore 119074, Singapore
| | - Michael Tseng
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Mohammad Shadab Siddiqui
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Arun J. Sanyal
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Yock Young Dan
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore
- MBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore 119228, Singapore
| | - Mark Muthiah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore
- MBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore 119228, Singapore
- Correspondence: (C.H.N.); (M.M.); Tel.: +65-6772-3737 (C.H.N.); +65-6772-4354 (M.M.)
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20
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Wang X, Lu J, Gao Y, Song J, Li Y, Hundei W, Han Y, Li X, Liu J, Zheng X. Dose-response association between long-term weight loss in young adults and later-life metabolic health. Obesity (Silver Spring) 2022; 30:1289-1297. [PMID: 35534791 DOI: 10.1002/oby.23436] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 03/08/2022] [Accepted: 03/09/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Long-term weight loss (LTWL) has been shown to be associated with lower metabolic risk in young adults with overweight/obesity. However, the dose-response association is uncertain. METHODS In a large-scale nationwide screening project in China, the participants aged 35 to 64 years who recalled overweight/obesity at age 25 years and experienced LTWL or maintained stable weight were included. The dose-response association between LTWL from age 25 to screening (35 to 64 years) and the odds of metabolic syndrome at screening were assessed using multivariable adjusted regression models with restricted cubic splines. RESULTS A total of 40,150 participants (66.4% women) were included. The increment of LTWL was associated with continuously decreased odds of metabolic syndrome. The odds of metabolic syndrome were 0.64 (0.60 to 0.67), 0.42 (0.40 to 0.45), 0.27 (0.25 to 0.29), and 0.15 (0.13 to 0.17) for those with LTWL of 5% to 9.9%, 10% to 14.9%, 15% to 19.9%, and 20% or greater compared with <5% LTWL, respectively. Moreover, the incremental pattern was observed across all population subgroups. CONCLUSIONS An incremental association between LTWL from young adulthood and odds of later-life metabolic syndrome was observed. Our findings highlight the effective ways to achieve LTWL to improve lifetime metabolic health for young adults with overweight/obesity.
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Affiliation(s)
- Xiuling Wang
- National Clinical Research Center for Cardiovascular Diseases, 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, 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, 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, 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 Li
- National Clinical Research Center for Cardiovascular Diseases, 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
| | - Wuhanbilige Hundei
- National Clinical Research Center for Cardiovascular Diseases, 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
| | - Yi Han
- National Clinical Research Center for Cardiovascular Diseases, 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, 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, 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
| | - Xin Zheng
- National Clinical Research Center for Cardiovascular Diseases, 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 for Cardiovascular Diseases, Shenzhen, Coronary Artery Disease Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China
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21
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Liao W, Liu X, Kang N, Niu M, Song Y, Wang L, Wei D, Liu P, Sun C, Mao Z, Hou J, Wang C, Li Y. The Reliability and Validity of Recalled Body Shape and the Responsiveness of Obesity Classification Based on Recalled Body Shape Among the Chinese Rural Population. Front Public Health 2022; 10:792394. [PMID: 35592083 PMCID: PMC9110696 DOI: 10.3389/fpubh.2022.792394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background The reliability and validity of recalled body shape were unknown in China. This study was conducted to examine the reliability and validity of recalled body shape as well as the responsiveness of obesity classification by recalled body shape among the Chinese rural population. Methods A total of 166 people from the Henan rural cohort were enrolled. The Spearman's correlation coefficient (SCC), intraclass correlation coefficient (ICC), and Cronbach's α were calculated to assess the reliability and validity of recalled body shape. Additionally, the receiver operator characteristic curve (ROC) was performed to assess the responsiveness. Results The SCC between the twice recalled body shape ranged from 0.383 to 0.578, and the ICC ranged from 0.357 to 0.615. Besides, the Cronbach's α of the recalled body shape questionnaire was 0.845. At the age of 20–70, the SCC between recalled body shape and actual body mass index (BMI) and waist circumference (WC) ranged from 0.563 to 0.699 and 0.409 to 0.661, respectively. Furthermore, above the age of 20, the area under the curve (AUC) of classifying general obesity and abdominal obesity by recalled body shape ranged from 0.833 to 0.960 and 0.686 to 0.870, respectively. Conclusion The results indicated that recalled body shape had moderate reliability, validity, and discriminative degree for earlier obesity among the Chinese rural population.
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Affiliation(s)
- Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Miaomiao Niu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yu Song
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Lulu Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Dandan Wei
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Pengling Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chunyang Sun
- Department of Preventive Medicine, School of Medicine, Henan University of Chinese Medicine, Zhengzhou, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yuqian Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.,Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, China
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22
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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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23
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Hermans KEPE, van den Brandt PA, Loef C, Jansen RLH, Schouten LJ. Adherence to the World Cancer Research Fund and the American Institute for Cancer Research lifestyle recommendations for cancer prevention and Cancer of Unknown Primary risk. Clin Nutr 2022; 41:526-535. [PMID: 35026689 DOI: 10.1016/j.clnu.2021.12.038] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/22/2021] [Accepted: 12/24/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND & AIMS The World Cancer Research Fund (WCRF) and American Institute for Cancer Research (AICR) updated their cancer prevention recommendations in 2018. Adherence to these recommendations has been associated with lower cancer risk and mortality. However, adherence in relation to Cancer of Unknown Primary (CUP) risk has not been studied. This study investigates whether adherence to the WCRF/AICR recommendations is associated with CUP risk. METHODS Data from the prospective Netherlands Cohort Study on diet and cancer was used to measure adherence to the recommendations in relation to CUP risk. The cohort includes 120 852 participants (aged 55-69 years), who completed a self-administered questionnaire on cancer risk factors at baseline. Adherence was investigated with respect to body fatness, physical activity, plant foods, meat consumption and alcohol. Incident CUP cases were identified through record linkage to the Netherlands Cancer Registry and Dutch Pathology Registry. A follow-up of 20.3 years, resulted in 856 incident CUP cases and 3911 subcohort members with complete information available for case-cohort analyses. Multivariable adjusted hazard ratios were estimated using proportional hazards models and were adjusted for age at baseline, sex, cigarette smoking (status, frequency, and duration) and total energy intake. RESULTS Highest adherence appeared to be associated with decreased CUP risk in the age-sex adjusted model (HR: 0.76, 95% CI: 0.62-0.92). After additional adjustment for cigarette smoking (status, frequency, and duration), the association attenuated and was no longer statistically significant. No multiplicative interactions were observed between sex nor smoking status and overall adherence in relation to CUP. CONCLUSION Within this cohort, highest adherence to the WCRF/AICR recommendations is not statistically significantly associated with decreased CUP risk after multivariable adjustment.
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Affiliation(s)
- Karlijn E P E Hermans
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands.
| | - Piet A van den Brandt
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands
| | - Caroline Loef
- Department of Research, Comprehensive Cancer Organization the Netherlands, the Netherlands
| | - Rob L H Jansen
- Department of Internal Medicine, Medical Oncology, Maastricht University Medical Center, the Netherlands
| | - Leo J Schouten
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands
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24
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Arafa A, Kokubo Y, Sheerah HA, Sakai Y, Watanabe E, Li J, Honda-Kohmo K, Teramoto M, Kashima R, Koga M. Weight Change Since Age 20 and the Risk of Cardiovascular Disease Mortality: A Prospective Cohort Study. J Atheroscler Thromb 2021; 29:1511-1521. [PMID: 34803086 PMCID: PMC9529374 DOI: 10.5551/jat.63191] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Aim: Weight change could have many health outcomes. This study aimed to investigate the association between weight change and mortality risk due to total cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke among Japanese.
Methods: We used Suita Study data from 4,746 people aged 30-79 years in this prospective cohort study. Weight change was defined as the difference between baseline weight and weight at age 20. We used Cox proportional hazards models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) of total CVD, IHD, and stroke mortality for 1) participants with a weight change (>10, 5 to 10, -5 to -10, and <-10 kg) compared to those with stable weight (-4.9 to 4.9 kg) and 2) participants who moved from one body mass index category (underweight, normal weight, or overweight) to another compared to those with normal weight at age 20 and baseline.
Results: Within a median follow-up period of 19.9 years, the numbers of total CVD, IHD, and stroke mortality were 268, 132, and 79, respectively. Weight loss of >10 kg was associated with the increased risk of total CVD mortality 2.07 (1.29, 3.32) and stroke mortality 3.02 (1.40, 6.52). Moving from normal weight at age 20 to underweight at baseline was associated with the increased risk of total CVD, IHD, and stroke mortality: 1.76 (1.12, 2.77), 2.10 (1.13, 3.92), and 2.25 (1.05, 4.83), respectively.
Conclusion: Weight loss, especially when moving from normal to underweight, was associated with the increased risk of CVD mortality.
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Affiliation(s)
- Ahmed Arafa
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center.,Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University.,Department of Public Health, Faculty of Medicine, Beni-Suef University
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center
| | - Haytham A Sheerah
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center.,Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
| | - Yukie Sakai
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center
| | - Emi Watanabe
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center
| | - Jiaqi Li
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center.,Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
| | - Kyoko Honda-Kohmo
- Division of Preventive Healthcare, National Cerebral and Cardiovascular Center
| | - Masayuki Teramoto
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center.,Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
| | - Rena Kashima
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center.,Public Health Division, Ibaraki Public Health Center, Osaka Prefectural Government
| | - Masatoshi Koga
- Division of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center
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25
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Wang T, Zhou Y, Kong N, Zhang J, Cheng G, Zheng Y. Weight gain from early to middle adulthood increases the risk of incident asthma later in life in the United States: a retrospective cohort study. Respir Res 2021; 22:139. [PMID: 33952267 PMCID: PMC8097961 DOI: 10.1186/s12931-021-01735-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 04/26/2021] [Indexed: 11/29/2022] Open
Abstract
Background Data describing the effects of weight change across adulthood on asthma are important for the prevention of asthma. This study aimed to investigate the association between weight change from early to middle adulthood and risk of incident asthma. Methods Using data from the National Health and Nutrition Examination Survey (NHANES), we performed a nationally retrospective cohort study of the U.S. general population. A total of 20,771 people aged 40–74 years with recalled weight at young and middle adulthood were included in the cohort. Four weight change groups were categorized: stable non-obesity, non-obesity to obesity, obesity to non-obesity, and stable obesity. Hazard ratios (HRs) and 95% confidence intervals (CIs) relating weight change to incident asthma over 10 years of follow-up were calculated using Cox models adjusting for covariates. Results Compared with the stable non-obesity group, the HRs of incident asthma were 1.63 (95% CI = 1.29 to 2.07, P < 0.001) for the non-obesity to obesity group, 1.41 (95% CI = 0.97 to 2.05, P = 0.075) for stable obesity group, and 1.21 (95% CI = 0.41 to 3.62, P = 0.730) for the obesity to non-obesity group. In addition, participants who gained more than 20 kg from young to middle adulthood had a HR of 1.53 (95% CI = 1.15 to 2.03, P = 0.004), compared with those whose weight remained stable (weight change within 2.5 kg). Conclusions Weight gain from early to middle adulthood was associated with higher risk of incident asthma as compared to those who maintained normal weight. Thus, maintaining normal weight throughout adulthood might be important for the primary prevention of adult-onset asthma. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-021-01735-7.
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Affiliation(s)
- Tao Wang
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, 266071, Shandong, People's Republic of China
| | - Yunping Zhou
- School of Nursing, Qingdao University, 308 Ningxia Road, Qingdao, 266071, Shandong, People's Republic of China
| | - Nan Kong
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, 266071, Shandong, People's Republic of China
| | - Jianzhong Zhang
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, 266071, Shandong, People's Republic of China
| | - Guo Cheng
- Laboratory of Molecular Translational Medicine, Centre for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Yuxin Zheng
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, 266071, Shandong, People's Republic of China.
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26
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Liu M, Zhang Z, Zhou C, He P, Zhang Y, Li H, Li Q, Liu C, Wang B, Li J, Zhang Y, Xu X, Wang X, Xu X, Huo Y, Hou FF, Qin X. Relationship of Weight Change Patterns From Young to Middle Adulthood With Incident Cardiovascular Diseases. J Clin Endocrinol Metab 2021; 106:e812-e823. [PMID: 33180946 DOI: 10.1210/clinem/dgaa823] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Indexed: 11/19/2022]
Abstract
CONTEXT The effect of weight change patterns on cardiovascular diseases (CVD) remains uncertain. OBJECTIVE We aim to examine the relation of weight change patterns and absolute weight change from young adulthood to midlife with incident CVD. DESIGN Retrospective cohort study. SETTING National Health and Nutrition Examination Survey 1999-2016. PARTICIPANTS A total of 20 715 US adults aged 40 through 79 with recalled weight at young adulthood (25 years) and midlife (10 years before baseline). MAIN OUTCOME MEASURE CVD status was determined by self-report of a prior diagnosis, and age at diagnosis was used to establish time of CVD onset. CVD events was defined as the first occurrence of a congestive heart failure, coronary heart disease, angina pectoris, heart attack, or stroke. RESULTS After 9.76 years of follow-up, compared with participants who remained at normal weight, those in maximum overweight, changing from nonobese to obese, changing from obese to nonobese, maintaining obesity between young and middle adulthood had a 39% (hazard ratio [HR], 1.39; 95% confidence interval [CI], 1.19-1.62), 93% (HR, 1.93; 95% CI, 1.64-2.28), 125% (HR, 2.25; 95% CI, 1.29-3.94), and 132% (HR, 2.32; 95% CI, 1.68-3.20) higher risk of CVD, respectively. In addition, compared with weight change within 2.5 kg, weight gain ≥ 10.0 kg was associated with higher risk of CVD. CONCLUSIONS Both nonobese to obese, obese to nonobese, and stable obese from young to middle adulthood were associated with increased risks of CVD. The findings emphasize the importance of maintaining normal weight throughout the adulthood for preventing CVD in later life.
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Affiliation(s)
- Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Zhuxian Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Huan Li
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Qinqin Li
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Chengzhang Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Binyan Wang
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Xin Xu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiping Xu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Fan Fan Hou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
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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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Anthropometry, physical activity and cancer of unknown primary (CUP) risk: Results from the Netherlands cohort study. Cancer Epidemiol 2020; 69:101836. [PMID: 33099214 DOI: 10.1016/j.canep.2020.101836] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 10/02/2020] [Accepted: 10/04/2020] [Indexed: 11/21/2022]
Abstract
BACKGROUND Cancer of Unknown Primary (CUP) is a metastatic disease for which the primary tumour origin could not be identified during life. Few studies have investigated the risk factors associated with this disease. This study investigates anthropometry, physical activity and CUP risk. METHODS Data is used from the Netherlands Cohort Study, which includes 120,852 participants aged 55-69 years. All cohort members completed a self-administered questionnaire on cancer risk factors at baseline in 1986. Cancer follow-up was established through record linkage to the Netherlands Cancer Registry and the Dutch Pathology Registry. After a follow-up of 20.3 years, 926 incident CUP cases and 4099 subcohort members were available for case-cohort analyses. Proportional hazards models were used to compute multivariable adjusted hazard ratios (HRs). RESULTS We found no associations between height, body mass index (BMI) at baseline, BMI at age 20 years, change in BMI since age 20 years, clothing size (trouser/skirt size), or non-occupational physical activity and CUP risk. CONCLUSION Our findings indicate that neither anthropometry nor physical activity are associated with the development of CUP.
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Association of Weight Loss from Early to Middle Adulthood and Incident Hypertension Risk Later in Life. Nutrients 2020; 12:nu12092622. [PMID: 32872103 PMCID: PMC7551896 DOI: 10.3390/nu12092622] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/22/2020] [Accepted: 08/26/2020] [Indexed: 12/11/2022] Open
Abstract
Background: The effect of obesity in early adulthood and weight loss on incident hypertension in older age has not been well characterized. This study aimed to examine the association of weight loss from young adulthood to midlife with risk of incident hypertension later in life. Methods: We performed a retrospective cohort study using data from the National Health and Nutrition Examination Survey (NHANES). Five weight change groups were categorized: stable normal, weight loss, weight gain, maximum overweight and stable obese. The hazard ratios (HRs) and 95% confidence intervals (CIs) of the association between weight change and risk of hypertension in later life were estimated using Cox regression models. Results: Compared with participants who maintained normal weight, the stable obese, weight gain, maximum overweight and weight loss groups exhibited significantly higher risks of incident hypertension, with HR of 3.28 (95% CI = 2.71 to 3.96), 2.93 (95% CI = 2.62 to 3.28), 1.76 (95% CI = 1.55 to 2.00) and 1.97 (95% CI = 1.17 to 3.31), respectively. We also observed a lower risk among those in the weight loss group (HR = 0.60, 95% CI = 0.35 to 1.02) compared with those who were stable obese. Conclusions: Weight loss from early to middle adulthood was associated with lower risk of incident hypertension as compared to those who stayed obese and higher risk of incident hypertension as compared to those who maintained normal weight. Thus, maintaining normal weight throughout adulthood may be important for the primary prevention of hypertension.
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Allison C, Colby S, Opoku-Acheampong A, Kidd T, Kattelmann K, Olfert MD, Zhou W. Accuracy of self-reported BMI using objective measurement in high school students. J Nutr Sci 2020; 9:e35. [PMID: 32913646 PMCID: PMC7443770 DOI: 10.1017/jns.2020.28] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 07/14/2020] [Accepted: 07/17/2020] [Indexed: 12/12/2022] Open
Abstract
Self-reported measures for body mass index (BMI) are considered a limitation in research design, especially when they are a primary outcome. Studies have found some populations to be quite accurate when self-reporting BMI; however, there is mixed research on the accuracy of self-reported measurements in adolescents. The aim of this study is to examine the accuracy of self-reported BMI by comparing it with measured BMI in a sample of U.S. adolescents and to understand gender differences. This cross-sectional study collected self-reported height and weight measurements of students from five high schools in four states (Tennessee, South Dakota, Kansas and Florida). Trained researchers took height and weight of students for an objective measurement. BMI was calculated from both sources and categorized (underweight, normal, overweight and obese) using the Centers for Disease Control and Prevention's BMI-for-age percentiles. Participants (n 425; 51⋅0 % female) had a mean age of 16⋅3 years old, and the majority were White (47⋅5 %). Limits of agreement (LOA) analysis revealed that BMI and weight were underreported, and height was overreported in the overall sample, in females, and in males. LOA analysis was fair for BMI in all three groups. Overall agreement in BMI categorisation was considered substantial (Κ 0⋅71, P < 0⋅001). As BMI increased, more height and weight inaccuracies led to decreased accuracy in BMI categorisation, and the specificity of obese participants was low (50⋅0 %). This study's findings suggest that using self-reported values to categorize BMI is more accurate than using continuous BMI values when self-reported measures are used in health-related interventions.
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Affiliation(s)
- Chelsea Allison
- Department of Nutrition, University of Tennessee, 1215 W. Cumberland Avenue, Knoxville, TN37996, USA
| | - Sarah Colby
- Department of Nutrition, University of Tennessee, 1215 W. Cumberland Avenue, Knoxville, TN37996, USA
| | - Audrey Opoku-Acheampong
- Department of Food, Nutrition, Dietetics and Health, Kansas State University, 1324 Lovers Lane, Manhattan, KS66506, USA
| | - Tandalayo Kidd
- Department of Food, Nutrition, Dietetics and Health, Kansas State University, 1324 Lovers Lane, Manhattan, KS66506, USA
| | - Kendra Kattelmann
- Health and Nutritional Sciences Department, South Dakota State University, Wagner Hall 425, Brookings, SD57007, USA
| | - Melissa D. Olfert
- Davis College of Agriculture, Natural Resources and Design School of Agriculture, West Virginia University, 1194 Evansdale Drive, G28 Agricultural Sciences Building, Morgantown, WV26506, USA
| | - Wenjun Zhou
- Department of Business Analytics and Statistics, University of Tennessee, 916 Volunteer Blvd., Knoxville, TN37996-0532, USA
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31
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Flegal KM, Graubard B, Ioannidis JPA. Use and reporting of Bland-Altman analyses in studies of self-reported versus measured weight and height. Int J Obes (Lond) 2020; 44:1311-1318. [PMID: 31792334 PMCID: PMC7261640 DOI: 10.1038/s41366-019-0499-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 10/23/2019] [Accepted: 11/17/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND/OBJECTIVES Bland-Altman methods for assessing the agreement between two measures are highly cited. However, these methods may often not be used to assess agreement, and when used, they are not always presented or interpreted correctly. Our objective was to evaluate the use and the quality of reporting of Bland-Altman analyses in studies that compare self-reported with measured weight and height. METHODS We evaluated the use of Bland-Altman methods in 394 published articles that compared self-reported and measured weight and height data for adolescents or adults. Six reporting criteria were developed: assessment of the normality of the distribution of differences, a complete and correctly labeled Bland-Altman plot displaying the mean difference and limits of agreement (LOA), numerical values and confidence intervals, standard errors, or standard deviations for mean difference, numerical values of LOA, confidence intervals for LOA, and prespecified criteria for acceptable LOA. RESULTS Only 72/394 (18%) studies comparing self-reported with measured weight and height or BMI used some form of Bland-Altman analyses. No study using Bland-Altman analyses satisfied more than four of the six criteria. Of the 72 studies, 64 gave mean differences along with confidence intervals or standard deviations, 55 provided complete Bland-Altman plots that were appropriately labeled and described, 37 provided numerical values for LOA, 4 reported that they examined the normality of the distribution of differences, 3 provided confidence intervals for LOA, and 3 had prespecified criteria for agreement. CONCLUSIONS Bland-Altman methods appear to be infrequently used in studies comparing measured with self-reported weight, height, or BMI, and key information is missing in many of those that do use Bland-Altman methods. Future directions would be defining acceptable LOA values and improving the reporting and application of Bland-Altman methods in studies of self-reported anthropometry.
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Affiliation(s)
- Katherine M Flegal
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 1265 Welch Road, Mail Code 5411, Stanford, CA, 94305-5411, USA.
| | - Barry Graubard
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - John P A Ioannidis
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 1265 Welch Road, Mail Code 5411, Stanford, CA, 94305-5411, USA
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
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32
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Renehan AG, Pegington M, Harvie MN, Sperrin M, Astley SM, Brentnall AR, Howell A, Cuzick J, Gareth Evans D. Young adulthood body mass index, adult weight gain and breast cancer risk: the PROCAS Study (United Kingdom). Br J Cancer 2020; 122:1552-1561. [PMID: 32203222 PMCID: PMC7217761 DOI: 10.1038/s41416-020-0807-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 01/15/2020] [Accepted: 03/03/2020] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND We tested the hypothesis that body mass index (BMI) aged 20 years modifies the association of adult weight gain and breast cancer risk. METHODS We recruited women (aged 47-73 years) into the PROCAS (Predicting Risk Of Cancer At Screening; Manchester, UK: 2009-2013) Study. In 47,042 women, we determined BMI at baseline and (by recall) at age 20 years, and derived weight changes. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for new breast cancer using Cox models and explored relationships between BMI aged 20 years, subsequent weight changes and breast cancer risk. RESULTS With median follow-up of 5.6 years, 1142 breast cancers (post-menopausal at entry: 829) occurred. Among post-menopausal women at entry, BMI aged 20 years was inversely associated [HR per SD: 0.87 (95% CI: 0.79-0.95)], while absolute weight gain was associated with breast cancer [HR per SD:1.23 (95% CI: 1.14-1.32)]. For post-menopausal women who had a recall BMI aged 20 years <23.4 kg/m2 (75th percentile), absolute weight gain was associated with breast cancer [HR per SD: 1.31 (95% CIs: 1.21-1.42)], but there were no associations for women with a recall BMI aged 20 years of >23.4 kg/m2 (Pinteraction values <0.05). CONCLUSIONS Adult weight gain increased post-menopausal breast cancer risk only among women who were <23.4 kg/m2 aged 20 years.
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Affiliation(s)
- Andrew G Renehan
- Manchester Cancer Research Centre and NIHR Manchester Biomedical Research Centre, Manchester, UK.
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
| | - Mary Pegington
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Prevent Breast Cancer, Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK
| | - Michelle N Harvie
- Prevent Breast Cancer, Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK
| | - Matthew Sperrin
- MRC Health eResearch Centre (HeRC), Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Susan M Astley
- Centre for Imaging Science, Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK
- The University of Manchester, Manchester Academic Health Science Centre, University Hospital of South Manchester, Manchester, UK
| | - Adam R Brentnall
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Anthony Howell
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Prevent Breast Cancer, Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK
| | - Jack Cuzick
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - D Gareth Evans
- Manchester Cancer Research Centre and NIHR Manchester Biomedical Research Centre, Manchester, UK
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Prevent Breast Cancer, Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK
- Genomic Medicine, Manchester Academic Health Sciences Centre, University of Manchester and Central Manchester Foundation Trust, Manchester, UK
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Chen C, Ye Y, Zhang Y, Pan XF, Pan A. Weight change across adulthood in relation to all cause and cause specific mortality: prospective cohort study. BMJ 2019; 367:l5584. [PMID: 31619383 PMCID: PMC6812615 DOI: 10.1136/bmj.l5584] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/29/2019] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To investigate the association between weight changes across adulthood and mortality. DESIGN Prospective cohort study. SETTING US National Health and Nutrition Examination Survey (NHANES) 1988-94 and 1999-2014. PARTICIPANTS 36 051 people aged 40 years or over with measured body weight and height at baseline and recalled weight at young adulthood (25 years old) and middle adulthood (10 years before baseline). MAIN OUTCOME MEASURES All cause and cause specific mortality from baseline until 31 December 2015. RESULTS During a mean follow-up of 12.3 years, 10 500 deaths occurred. Compared with participants who remained at normal weight, those moving from the non-obese to obese category between young and middle adulthood had a 22% (hazard ratio 1.22, 95% confidence interval 1.11 to 1.33) and 49% (1.49, 1.21 to 1.83) higher risk of all cause mortality and heart disease mortality, respectively. Changing from obese to non-obese body mass index over this period was not significantly associated with mortality risk. An obese to non-obese weight change pattern from middle to late adulthood was associated with increased risk of all cause mortality (1.30, 1.16 to 1.45) and heart disease mortality (1.48, 1.14 to 1.92), whereas moving from the non-obese to obese category over this period was not significantly associated with mortality risk. Maintaining obesity across adulthood was consistently associated with increased risk of all cause mortality; the hazard ratio was 1.72 (1.52 to 1.95) from young to middle adulthood, 1.61 (1.41 to 1.84) from young to late adulthood, and 1.20 (1.09 to 1.32) from middle to late adulthood. Maximum overweight had a very modest or null association with mortality across adulthood. No significant associations were found between various weight change patterns and cancer mortality. CONCLUSIONS Stable obesity across adulthood, weight gain from young to middle adulthood, and weight loss from middle to late adulthood were associated with increased risks of mortality. The findings imply that maintaining normal weight across adulthood, especially preventing weight gain in early adulthood, is important for preventing premature deaths in later life.
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Affiliation(s)
- Chen Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yi Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yanbo Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiong-Fei Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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De Rubeis V, Cotterchio M, Smith BT, Griffith LE, Borgida A, Gallinger S, Cleary S, Anderson LN. Trajectories of body mass index, from adolescence to older adulthood, and pancreatic cancer risk; a population-based case-control study in Ontario, Canada. Cancer Causes Control 2019; 30:955-966. [PMID: 31230151 PMCID: PMC6685923 DOI: 10.1007/s10552-019-01197-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 06/15/2019] [Indexed: 01/28/2023]
Abstract
PURPOSE Pancreatic cancer has the highest fatality rate of all cancers. Adulthood obesity is an established risk factor for pancreatic cancer; however, life-course obesity is not well understood. The aim of this study was to evaluate the association between body mass index (BMI) trajectories throughout the life-course and pancreatic cancer risk. METHODS A population-based case-control study was conducted (2011-2013) in Ontario, Canada. Cases were recruited from the Ontario pancreas cancer study (n = 310) and controls from the Ontario cancer risk factor study (n = 1258). Questionnaires captured self-reported height and weight at four timepoints (adolescence, 20 s, 30-40 s, 50-60 s). BMI trajectories were identified using latent class growth mixture modeling. Odds ratios (OR) and 95% confidence intervals (CI) were estimated from multivariable logistic regression. RESULTS Five BMI trajectories were identified: stable-normal weight (38.9%), progressively overweight (42.2%), persistent overweight (12.6%), progressive obesity (4.2%), and persistent obesity (2.1%). The persistent overweight (OR = 1.55; 95% CI 1.02, 2.39) and progressive obesity trajectories (OR = 1.49; 95% CI 0.77, 2.87) compared to stable-normal weight were associated with increased odds of pancreatic cancer. When BMI was evaluated separately the strongest associations with pancreatic cancer emerged in young and mid-adulthood. CONCLUSION BMI trajectories characterized by overweight in early adulthood were associated with increased pancreatic cancer risk suggesting a life-course approach to disease risk.
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Affiliation(s)
- Vanessa De Rubeis
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton, ON, L8S4L8, Canada
| | - Michelle Cotterchio
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Brendan T Smith
- Public Health Ontario, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Lauren E Griffith
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton, ON, L8S4L8, Canada
| | - Ayelet Borgida
- Division of General Surgery, Toronto General Hospital, Toronto, ON, Canada
| | - Steven Gallinger
- Division of General Surgery, Toronto General Hospital, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
| | - Sean Cleary
- Department of Surgery, University Health Network, University of Toronto, Toronto, ON, Canada
- Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, USA
| | - Laura N Anderson
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton, ON, L8S4L8, Canada.
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
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