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Mendelian randomization on the association of obesity with vitamin D: Guangzhou Biobank Cohort Study. Eur J Clin Nutr 2023; 77:195-201. [PMID: 36347947 DOI: 10.1038/s41430-022-01234-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Mendelian randomization (MR) analyses from the West provide evidence that obesity causes lower 25-hydroxyvitamin D [25(OH)D]. As Asian populations are prone to metabolic disorders at a lower body mass index (BMI), whether the association remains in Asian is unclear. We studied whether obesity causes vitamin D deficiency using MR analysis in Chinese. METHODS We used data from the Guangzhou Biobank Cohort Study. A genetic score including seven BMI-related single-nucleotide polymorphisms (n = 15,249) was used as the instrumental variable (IV) for BMI. Two-stage least square regression and conventional multivariable linear regression in 2,036 participants with vitamin D data were used to analyze association of BMI with vitamin D. RESULTS Proportion of variation explained by the genetic score was 0.7% and the first stage F-statistic for MR analysis was 103. MR analyses showed that each 1 kg/m2 higher BMI was associated with lower 25(OH)D by -2.35 (95% confidence interval (CI) -4.68 to -0.02) nmol/L. In conventional multivariable linear regression, higher BMI was also associated with lower 25(OH)D (β = -0.26 nmol/L per 1 kg/m2 increase in BMI, 95% CI -0.46 to -0.06). Sensitivity analyses using two-sample IV analysis and leave-one-out method showed similar results. CONCLUSION We have first shown by MR and conventional multivariable linear regression that higher BMI causes vitamin D deficiency in Chinese. Our findings highlight the importance of weight control and suggest that vitamin D supplementation may be needed in individuals with overweight or obesity.
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Zhang J, Zhou WJ, Zhang YD, Liu CJ, Yu F, Jiang YM. Relationship between Body Mass Index and Bone Turnover Markers in Girls with Idiopathic Central Precocious Puberty. Int J Clin Pract 2023; 2023:6615789. [PMID: 37153692 PMCID: PMC10162872 DOI: 10.1155/2023/6615789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/31/2023] [Accepted: 04/20/2023] [Indexed: 05/10/2023] Open
Abstract
Background This study aimed to determine the effect of body mass index (BMI) on bone turnover markers in girls with idiopathic central precocious puberty (ICPP) according to weight status at diagnosis. Methods Two hundred and eleven girls with ICPP were divided according to their weight status at diagnosis into three groups: normal weight, overweight, and obese. The serum levels of total procollagen type 1 N-terminal propeptide (P1NP), N-terminal midfragment of osteocalcin, β-C-terminal telopeptide of type 1 collagen, and some biochemical indicators were measured. Associations between variables were evaluated by multiple regression analysis. Results Serum P1NP concentrations were significantly different among groups (p < 0.001). No other significant differences were noted in N-terminal midfragment of osteocalcin and β-C-terminal telopeptide of type 1 collagen. BMI was associated with estradiol (r = 0.155, p < 0.05) and inversely associated with P1NP (r = -0.251, p < 0.01), luteinizing hormone peak (r = -0.334, p < 0.01), follicle-stimulating hormone peak (r = -0.215, p < 0.01), and luteinizing hormone/follicle-stimulating hormone peak (r = -0.284, p < 0.01). Multiple regression analysis of factors associated with BMI showed that it was correlated with P1NP, follicle-stimulating hormone base, and luteinizing hormone peak in the overweight group and the obese group. Conclusions Our findings showed that BMI was associated with P1NP, revealing the reduction of bone formation in overweight and obese girls with ICPP. During the diagnosis and treatment of girls with ICPP, attention should be paid to body weight and bone metabolism.
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Affiliation(s)
- Jing Zhang
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Wen-jie Zhou
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yi-duo Zhang
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Chuan-jiao Liu
- Department of Laboratory Medicine, Maternal and Child Health Hospital of Qingbaijiang District in Chengdu, Chengdu, China
| | - Fan Yu
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yong-mei Jiang
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
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Wang Y, Li T, Fu L, Yang S, Hu YQ. A Novel Method for Mendelian Randomization Analyses With Pleiotropy and Linkage Disequilibrium in Genetic Variants From Individual Data. Front Genet 2021; 12:634394. [PMID: 34322150 PMCID: PMC8312241 DOI: 10.3389/fgene.2021.634394] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 06/15/2021] [Indexed: 12/28/2022] Open
Abstract
Mendelian randomization makes use of genetic variants as instrumental variables to eliminate the influence induced by unknown confounders on causal estimation in epidemiology studies. However, with the soaring genetic variants identified in genome-wide association studies, the pleiotropy, and linkage disequilibrium in genetic variants are unavoidable and may produce severe bias in causal inference. In this study, by modeling the pleiotropic effect as a normally distributed random effect, we propose a novel mixed-effects regression model-based method PLDMR, pleiotropy and linkage disequilibrium adaptive Mendelian randomization, which takes linkage disequilibrium into account and also corrects for the pleiotropic effect in causal effect estimation and statistical inference. We conduct voluminous simulation studies to evaluate the performance of the proposed and existing methods. Simulation results illustrate the validity and advantage of the novel method, especially in the case of linkage disequilibrium and directional pleiotropic effects, compared with other methods. In addition, by applying this novel method to the data on Atherosclerosis Risk in Communications Study, we conclude that body mass index has a significant causal effect on and thus might be a potential risk factor of systolic blood pressure. The novel method is implemented in R and the corresponding R code is provided for free download.
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Affiliation(s)
- Yuquan Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, China
| | - Tingting Li
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, China
| | - Liwan Fu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, China
| | - Siqian Yang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, China
| | - Yue-Qing Hu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, China.,Shanghai Center for Mathematical Sciences, Fudan University, Shanghai, China
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Janssen F, Trias-Llimós S, Kunst AE. The combined impact of smoking, obesity and alcohol on life-expectancy trends in Europe. Int J Epidemiol 2021; 50:931-941. [PMID: 33432332 PMCID: PMC8271206 DOI: 10.1093/ije/dyaa273] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/10/2020] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Smoking, obesity and alcohol abuse greatly affect mortality and exhibit a distinct time dynamic, with their prevalence and associated mortality rates increasing and (eventually) declining over time. Their combined impact on secular trends in life expectancy is unknown but is relevant for understanding these trends. We therefore estimate the combined impact of smoking, obesity and alcohol on life-expectancy trends in Europe. METHODS We used estimated national age-specific smoking-, obesity- and alcohol-attributable mortality fractions for 30 European countries by sex, 1990-2014, which we aggregated multiplicatively to obtain lifestyle-attributable mortality. We estimated potential gains in life expectancy by eliminating lifestyle-attributable mortality and compared past trends in life expectancy at birth (e0) with and without lifestyle-attributable mortality. We examined all countries combined, by region and individually. RESULTS Among men, the combined impact of smoking, obesity and alcohol on e0 declined from 6.6 years in 1990 to 5.8 years in 2014, mainly due to declining smoking-attributable mortality. Among women, the combined impact increased from 1.9 to 2.3 years due to mortality increases in all three lifestyle-related factors. The observed increase in e0 over the 1990-2014 period was 5.0 years for men and 4.0 years for women. After excluding lifestyle-attributable mortality, this increase would have been 4.2-4.3 years for both men and women. CONCLUSION Without the combined impact of smoking, obesity and alcohol, the increase over time in life expectancy at birth would have been smaller among men but larger among women, resulting in a stable increase in e0, parallel for men and women.
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Affiliation(s)
- Fanny Janssen
- Netherlands Interdisciplinary Demographic Institute—KNAW/University of Groningen, The Hague, The Netherlands
- Population Research Centre, Faculty of Spatial Sciences, University of Groningen, The Netherlands
| | - Sergi Trias-Llimós
- Department of Non-communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Center for Demographic Studies, Centres de Recerca de Catalunya (CERCA), Bellaterra, Spain
| | - Anton E Kunst
- Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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Janssen F, Bardoutsos A, El Gewily S, De Beer J. Future life expectancy in Europe taking into account the impact of smoking, obesity, and alcohol. eLife 2021; 10:e66590. [PMID: 34227469 PMCID: PMC8337079 DOI: 10.7554/elife.66590] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 06/28/2021] [Indexed: 12/11/2022] Open
Abstract
Introduction: In Europe, women can expect to live on average 82 years and men 75 years. Forecasting how life expectancy will develop in the future is essential for society. Most forecasts rely on a mechanical extrapolation of past mortality trends, which leads to unreliable outcomes because of temporal fluctuations in the past trends due to lifestyle 'epidemics'. Methods: We project life expectancy for 18 European countries by taking into account the impact of smoking, obesity, and alcohol on mortality, and the mortality experiences of forerunner populations. Results: We project that life expectancy in these 18 countries will increase from, on average, 83.4 years for women and 78.3 years for men in 2014 to 92.8 years for women and 90.5 years for men in 2065. Compared to others (Lee-Carter, Eurostat, United Nations), we project higher future life expectancy values and more realistic differences between countries and sexes. Conclusions: Our results imply longer individual lifespans, and more elderly in society. Funding: Netherlands Organisation for Scientific Research (NWO) (grant no. 452-13-001).
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Affiliation(s)
- Fanny Janssen
- Netherlands Interdisciplinary Demographic Institute - KNAW/University of GroningenThe HagueNetherlands
- Population Research Centre, Faculty of Spatial Sciences, University of GroningenGroningenNetherlands
| | - Anastasios Bardoutsos
- Population Research Centre, Faculty of Spatial Sciences, University of GroningenGroningenNetherlands
| | - Shady El Gewily
- Population Research Centre, Faculty of Spatial Sciences, University of GroningenGroningenNetherlands
| | - Joop De Beer
- Netherlands Interdisciplinary Demographic Institute - KNAW/University of GroningenThe HagueNetherlands
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Huang YY, Jiang CQ, Xu L, Zhang WS, Zhu F, Jin YL, Thomas GN, Cheng KK, Lam TH. Adiposity change and mortality in middle-aged to older Chinese: an 8-year follow-up of the Guangzhou Biobank Cohort Study. BMJ Open 2020; 10:e039239. [PMID: 33277280 PMCID: PMC7722382 DOI: 10.1136/bmjopen-2020-039239] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE To examine the associations of change in body mass index (BMI) and waist circumference (WC) over an average of 4 years with subsequent mortality risk in middle-aged to older Chinese. DESIGN Prospective cohort study based on the Guangzhou Biobank Cohort Study. SETTING Community-based sample. PARTICIPANTS 17 773 participants (12 956 women and 4817 men) aged 50+ years. PRIMARY AND SECONDARY OUTCOME MEASURES Primary outcome measure was all-cause mortality. Secondary outcome measures were cardiovascular disease (CVD) and cancer mortality. Causes of death were obtained via record linkage, and coded according to the International Classification of Diseases (tenth revision). RESULTS 1424 deaths (53.4% women) occurred in the 17 773 participants (mean age 61.2, SD 6.8 years) during an average follow-up of 7.8 (SD=1.5) years, and 97.7% of participants did not have an intention of weight loss . Compared with participants with stable BMI, participants with BMI loss (>5%), but not gain, had a higher risk of all-cause mortality (HR=1.49, 95% CI 1.31 to 1.71), which was greatest in those who were underweight (HR=2.45, 95% CI 1.31 to 4.59). Similar patterns were found for WC. In contrast, for participants with a BMI of ≥27.5 kg/m2, BMI gain, versus stable BMI, was associated with 89% higher risk of all-cause mortality (HR=1.89, 95% CI 1.25 to 2.88), 72% higher risk of CVD mortality (HR=1.72, 95% CI 0.80 to 3.72) and 2.27-fold risk of cancer mortality (HR=2.27, 95% CI 1.26 to 4.10). CONCLUSION In older people, unintentional BMI/WC loss, especially in those who were underweight was associated with higher mortality risk. However, BMI gain in those with obesity showed excess risks of all-cause and cancer mortality, but not CVD mortality. Frequent monitoring of changes in body size can be used as an early warning for timely clinical investigations and interventions and is important to inform appropriate health management in older Chinese.
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Affiliation(s)
- Ying Yue Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chao Qiang Jiang
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
| | - Lin Xu
- School of Public Health, Sun Yat-sen University, Guangzhou, China
- School of Public Health, the University of Hong Kong, Hong Kong, China
| | - Wei Sen Zhang
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
| | - Feng Zhu
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
| | - Ya Li Jin
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
| | - G Neil Thomas
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Tai Hing Lam
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
- School of Public Health, the University of Hong Kong, Hong Kong, China
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Janssen F, Bardoutsos A, Vidra N. Obesity Prevalence in the Long-Term Future in 18 European Countries and in the USA. Obes Facts 2020; 13:514-527. [PMID: 33075798 PMCID: PMC7670332 DOI: 10.1159/000511023] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 08/17/2020] [Indexed: 01/19/2023] Open
Abstract
INTRODUCTION Obesity constitutes a major public health problem in Europe, but how the obesity epidemic in European countries will evolve remains unknown. Most previous obesity projections considered the short-term future only, focused on single non-European countries, and projected ongoing increases foremost. We comparatively project obesity prevalence into the long-term future for 18 European countries and the USA. DATA We used national age-specific (20-84 years) and sex-specific obesity prevalence estimates (1975-2016) from the NCD Risk Factor Collaboration (NCD-RisC) 2017 study, which are based on available measured height and weight data, supplemented with estimates from a Bayesian hierarchical model. METHODS We projected age- and sex-specific obesity prevalence up to the year 2100 by integrating the notion of a wave-shaped obesity epidemic into conventional age-period projections. RESULTS In 1990-2016, the increasing trends in obesity prevalence were decelerating. Obesity is expected to reach maximum levels between 2030 and 2052 among men, and between 2026 and 2054 among women. The maximum levels will likely be reached first in The Netherlands, USA, and UK, and last in Switzerland; and are expected to be highest in the USA and UK, and lowest in The Netherlands for men and Denmark for women. In 2060, obesity prevalence is expected to be lowest among Dutch men and highest among Swiss men. The projected age-specific obesity prevalence levels have an inverse U-shape, peaking at around the age of 60-69 years. DISCUSSION Applying our novel approach to the NCD-RisC 2017 data, obesity prevalence is expected to reach maximum levels between 2026 and 2054, with the USA and UK reaching the highest maximum levels first, followed by other European countries.
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Affiliation(s)
- Fanny Janssen
- Population Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands,
- Netherlands Interdisciplinary Demographic Institute, KNAW/University of Groningen, The Hague, The Netherlands,
| | - Anastasios Bardoutsos
- Population Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands
| | - Nikoletta Vidra
- Population Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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Freire APCF, Ferreira AD, Santos CP, Araújo ICD, Uzeloto JS, Silva BSDA, Ramos D, Ramos EMC. Body image in COPD and its relation with physical activity levels, lung function and body composition: An observational study. CLINICAL RESPIRATORY JOURNAL 2020; 14:1182-1190. [PMID: 32790933 DOI: 10.1111/crj.13259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 02/26/2020] [Accepted: 08/10/2020] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Body image has been previously defined as the mental figure we have of the contours and shape of our body; and the feelings concerning these characteristics. A change in body perception can influence one's feelings of self-worth and compromise functional abilities. Thus, the detection of distortions in body image could be important data for clinical evaluation of subjects with COPD. OBJECTIVES To assess the body image perception of subjects with COPD. Also, to investigate the association between body image and levels of physical activity in these subjects. MATERIALS AND METHODS 109 subjects were recruited and divided into the COPD group and control subjects without any pulmonary conditions. For this cross-sectional study, we performed an initial evaluation and participants were evaluated regarding physical activity level, body image (silhouette scale) and determination of body mass index (BMI). Finally, we performed the evaluation of lung function (spirometry) and body composition analysis (bioelectrical impedance). RESULTS BothCOPD and control subjects presented alterations in body image. Both groups desired significantly lower BMI and weight measures, according to the silhouette scale, demonstrating body dissatisfaction (P < .05). No differences in the level body dissatisfaction were found between Control and COPD groups (P > .05). No associations between physical activity levels and body image were observed (P > .05; r = -0.24 to 0.14). CONCLUSION In conclusion, patients with COPD present significant body dissatisfaction, similar to control individuals. Furthermore, body image perception in COPD is related to body composition measurements but not to physical activity levels.
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Affiliation(s)
| | | | | | | | | | | | - Dionei Ramos
- Physiotherapy Department, São Paulo State University (UNESP), São Paulo, Brazil
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Adiposity and mortality in older Chinese: an 11-year follow-up of the Guangzhou Biobank Cohort Study. Sci Rep 2020; 10:1924. [PMID: 32024868 PMCID: PMC7002501 DOI: 10.1038/s41598-020-58633-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 01/17/2020] [Indexed: 11/10/2022] Open
Abstract
Previous studies on Chinese showed mixed results describing the relationship between obesity and mortality. The optimum levels of body mass index (BMI) and waist circumference (WC) are inconsistent. In the Guangzhou Biobank Cohort Study, after excluding ever smokers and those with poor health, 19,405 Chinese (50+ years) recruited from 2003 to 2008 were followed-up until 2017. During an average follow-up of 11.5 (standard deviation = 2.3) years, 1,757 deaths were recorded. All-cause mortality showed a J-shaped association with BMI, with the lowest mortality risks at 22.5 kg/m2 for both men and women. In those with BMI ≥ 22.5 kg/m2, an increase of 5 kg/m2 was associated with 29% higher all-cause mortality (hazard ratio (HR) = 1.29, 95% confidence interval (CI) 1.15–1.46), 30% higher cancer mortality (1.30, 95% CI 1.08–1.57), and 37% higher cardiovascular disease (CVD) mortality (1.37, 95% CI 1.13–1.67) after adjustment for potential confounders. In this first cohort study in one of the most economically developed cities in China, the lowest all-cause mortality was observed for a BMI of 22.5 kg/m2 in all participants, and a WC of 78 cm in men and 72 cm in women.
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Hyppönen E, Mulugeta A, Zhou A, Santhanakrishnan VK. A data-driven approach for studying the role of body mass in multiple diseases: a phenome-wide registry-based case-control study in the UK Biobank. LANCET DIGITAL HEALTH 2019; 1:e116-e126. [PMID: 33323262 DOI: 10.1016/s2589-7500(19)30028-7] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 05/07/2019] [Accepted: 05/09/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Mendelian randomisation allows for the testing of causal effects in situations where clinical trials are challenging to do. In this hypothesis-free, data-driven phenome-wide association study (PheWAS), we sought to assess possible associations of high body-mass index (BMI) with multiple disease outcomes. METHODS For this registry-based case-control PheWAS, we used genome-wide data available from the UK Biobank to construct a genetic risk score of 76 variants related to BMI. Eligible UK Biobank participants were aged 37-73 years during recruitment, were white British, were unrelated to each other, and had available genetic information. Disease outcomes from these participants were mapped to a phenotype code (phecode). Participants with a phecode of interest were recoded as cases, whereas participants without a phecode of interest or any codes under a parent phecode were classified as controls. We did a PheWAS to analyse possible associations between the BMI genetic risk score and a range of disease outcomes. Disease associations passing stringent correction for multiple testing (Bonferroni corrected threshold p<5·4 × 10-5, false discovery rate corrected p<0·0074) were assessed for causal association with use of inverse-variance weighted mendelian randomisation. We did sensitivity analyses to assess pleiotropy and stability of estimation with use of weighted median, weighted mode, Egger regression, and mendelian randomisation pleiotropy residual sum and outlier methods. FINDINGS Our study population comprised 337 536 UK Biobank participants, and analyses were done for 925 unique phecodes from 17 different disease categories. After Bonferroni correction, PheWAS identified that BMI genetic risk score was associated with hospital-diagnosed obesity and 58 other outcomes; 30 distinct disease associations were supported by the mendelian randomisation analyses. 30 distinct disease associations were supported by the mendelian randomisation analyses. In inverse-variance weighted mendelian randomisation, genetically determined BMI was associated with endocrine disorders (odds ratio per one SD or 4·1 kg/m2 higher BMI 2·72, 95% CI 2·33-3·29 for type 2 diabetes; 2·11, 1·62-2·76 for type 1 diabetes; and 1·46, 1·25-1·70 for hypothyroidism), circulatory diseases (1·96, 1·53-2·51 for phlebitis and thrombophlebitis; 1·89, 1·39-2·57 for cardiomegaly; 1·68, 1·35-2·09 for congestive heart failure; 1·55, 1·37-1·76 for hypertension; 1·31, 1·13-1·52 for ischaemic heart disease; and 1·25, 1·14-1·37 for cardiac dysrhythmias), and inflammatory or dermatological conditions (2·00, 1·72-2·23 for superficial cellulitis and abscess; 3·37, 2·17-5·25 for chronic ulcers of leg and foot; 4·99, 2·54-9·82 for gangrene; and 2·24, 1·53-3·28 for atopy). Mendelian randomisation analyses provided further support for a causal effect of BMI on renal failure, osteoarthrosis, neurological (insomnia and peripheral nerve disorders) and respiratory diseases (asthma and chronic bronchitis), structural problems (hernias and knee derangement), and chemotherapy treatment. Mendelian randomisation with Egger regression produced consistently wider CIs compared with those of other methods. 26 of 72 distinct diseases detected under false discovery rate correction produced consistent estimates across at least four mendelian randomisation methods, and consistent evidence across all five approaches was obtained for 14 diseases. INTERPRETATION Our data-driven approach identified a range of diseases as possibly affected by high BMI. This population-level screening approximated the accumulated consequences of high BMI, whereas the true effects might be more complex and vary by life stage. Our results highlight the importance of obesity prevention and effective management of obesity-related comorbidities. FUNDING National Health and Medical Research Council of Australia.
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Affiliation(s)
- Elina Hyppönen
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, SA, Australia; South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
| | - Anwar Mulugeta
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, SA, Australia; Department of Pharmacology, School of Medicine, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia
| | - Ang Zhou
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, SA, Australia
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Au Yeung SL, Lam TH. Unite for a Framework Convention for Alcohol Control. Lancet 2019; 393:1778-1779. [PMID: 30955974 DOI: 10.1016/s0140-6736(18)32214-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 09/04/2018] [Indexed: 11/23/2022]
Affiliation(s)
- Shiu Lun Au Yeung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Tai Hing Lam
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
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12
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Bartold PM. Lifestyle and periodontitis: The emergence of personalized periodontics. Periodontol 2000 2019; 78:7-11. [PMID: 30198129 DOI: 10.1111/prd.12237] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Personalized medicine is a medical model that involves the tailoring of healthcare - with medical decisions, practices, and/or products being customized to an individual patient. In this model, diagnostic testing is often employed for selecting appropriate and optimal therapies based on the context of a patient's genetic content or other epidemiologic, sociologic, molecular, physiologic, or cellular analyses. With the advent of major advances in periodontal medicine, including genomic discoveries and greater understanding of the multifactorial nature of periodontitis, it seems that the time is ripe to use personalized medicine as a model for personalized periodontics. This volume of Periodontology 2000 explores how new advances in our understanding of periodontitis within a medical model can evolve into new treatment strategies tailor-made for individual patients and not merely based on wholesale treatment paradigms.
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Affiliation(s)
- P Mark Bartold
- Faculty of Health Sciences, Adelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia
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Khabour OF, Alomari MA, Abu Obaid AA. The Relationship of adiponectin level and ADIPOQ gene variants with BMI among young adult women. DERMATO-ENDOCRINOLOGY 2018; 10:e1477902. [PMID: 30574262 PMCID: PMC6298696 DOI: 10.1080/19381980.2018.1477902] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 05/15/2018] [Indexed: 12/19/2022]
Abstract
The current study examined the effect of single nucleotide (SNPs) polymorphisms in the ADIPOQ gene (I146T and G276T) on body mass index (BMI) of young adult women. The women were divided into underweight, normal, overweight and obese according to BMI. The circulating levels of adiponectin were measured using commercially available ELISA kits. Genetic polymorphisms were genotyped using the PCR-RFLP method. G276T and I164T SNPs are common in the examined population as the frequency of G allele of 276 SNP was 54.8% and for the T allele of 164 SNP it was 41.7%. Circulating adiponectin levels were related to BMI and were lowest in the obese versus overweight, normal weight and underweight groups (p<0.01). However, ADIPOQ gene SNPs (I146T and G276T) showed no association with BMI groups. In conclusion, the results may suggest that adiponectin level, but not ADIPOQ gene SNPs, is a good indicator to BMI in young adult women.
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Affiliation(s)
- Omar F Khabour
- Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan 22110
| | - Mahmoud A Alomari
- Division of Physical Therapy, Department of Rehabilitation Sciences, Jordan University of Science and Technology, Irbid, Jordan 22110
| | - Asmaa A Abu Obaid
- Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan 22110
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