Changes in BMI Before and During Economic Development and Subsequent Risk of Cardiovascular Disease and Total Mortality: A 35-Year Follow-up Study in China

He, Yao; Lam, Tai Hing; Jiang, Bin; Li, Lan Sun; Sun, Duxin; Wu, Lei; Liu, Miaomiao; Yang, Shan; Wang, Yi Yan; Tobias, Deirdre K; Sun, Qi; Hu, Frank B.

doi:10.2337/dc14-0243

Cited by 24 publications

(17 citation statements)

References 36 publications

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“…From a total of 112 173 records identified by the search we included 207 publications 16 17 18 19 20 21 22 23 24 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 …”

Section: Resultsmentioning

confidence: 99%

“…55 In addition, a large number of additional cohorts were either missed by the search or excluded from the analysis, 56 57 58 59 60 61 62 63 64 65 and at least 53 additional studies have since been published, including >2.3 million deaths and >21.6 million participants. 23 24 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 An updated analysis is therefore warranted.…”

Section: Introductionmentioning

confidence: 99%

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BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants

Aune

Sen

Prasad

et al. 2016

BMJ

693

506

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Objective To conduct a systematic review and meta-analysis of cohort studies of body mass index (BMI) and the risk of all cause mortality, and to clarify the shape and the nadir of the dose-response curve, and the influence on the results of confounding from smoking, weight loss associated with disease, and preclinical disease.Data sources PubMed and Embase databases searched up to 23 September 2015.Study selection Cohort studies that reported adjusted risk estimates for at least three categories of BMI in relation to all cause mortality.Data synthesis Summary relative risks were calculated with random effects models. Non-linear associations were explored with fractional polynomial models.Results 230 cohort studies (207 publications) were included. The analysis of never smokers included 53 cohort studies (44 risk estimates) with >738 144 deaths and >9 976 077 participants. The analysis of all participants included 228 cohort studies (198 risk estimates) with >3 744 722 deaths among 30 233 329 participants. The summary relative risk for a 5 unit increment in BMI was 1.18 (95% confidence interval 1.15 to 1.21; I2=95%, n=44) among never smokers, 1.21 (1.18 to 1.25; I2=93%, n=25) among healthy never smokers, 1.27 (1.21 to 1.33; I2=89%, n=11) among healthy never smokers with exclusion of early follow-up, and 1.05 (1.04 to 1.07; I2=97%, n=198) among all participants. There was a J shaped dose-response relation in never smokers (Pnon-linearity <0.001), and the lowest risk was observed at BMI 23-24 in never smokers, 22-23 in healthy never smokers, and 20-22 in studies of never smokers with ≥20 years’ follow-up. In contrast there was a U shaped association between BMI and mortality in analyses with a greater potential for bias including all participants, current, former, or ever smokers, and in studies with a short duration of follow-up (<5 years or <10 years), or with moderate study quality scores.Conclusion Overweight and obesity is associated with increased risk of all cause mortality and the nadir of the curve was observed at BMI 23-24 among never smokers, 22-23 among healthy never smokers, and 20-22 with longer durations of follow-up. The increased risk of mortality observed in underweight people could at least partly be caused by residual confounding from prediagnostic disease. Lack of exclusion of ever smokers, people with prevalent and preclinical disease, and early follow-up could bias the results towards a more U shaped association.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants

Aune

Sen

Prasad

et al. 2016

BMJ

693

506

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show abstract

“…Similarly, no significant (p>0.05) association between health status (MI yes-no) and body mass index (high and low) negates the established association between the BMI and CVDs. [18][19][20][21] No significant association between BMI and CVDs also identifies BMI as a poor predictor of health status and its cut-off values for categorization of individuals into underweight, normal, overweight and obesity and applicability among different races and ethnic groups has been questioned seriously. 22 However, the difference in mean anthropometric results and association between different categorical variables across different countries could be attributed to differences in genetic and environmental factors that influence the relationships between different variables.…”

Section: Resultsmentioning

confidence: 99%

Cardiovascular Diseases in Relation to Anthropometric, Biochemical and Dietary Intake in Women: A Case Control Study

Paracha

Waheed²,

Paracha

et al. 2015

Obes Res Open J

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ResearchPage 32 ABSTRACT Background: Cardiovascular diseases in women are increasing at an alarming rate but very little attention has been given due to economic and socio-cultural reasons. A study was undertaken to examine the relationship between cardiovascular diseases and nutritional status in Pakistani women. Methods: A case-control study was carried out in the Outpatients department (OPD) of the Cardiology Unit, Rehman Medical Institute (RMI), Peshawar, Khyber Pakhtunkhwa, Pakistan. The inclusion criteria for selection of cases were females having complaints of myocardial infarction and free from all other infectious and chronic diseases. Forty three cases and 43 controls were selected for the study. Subjects were interviewed for their medical history, dietary intake demographic and socio-economic characteristics. Weight, height measurements and blood samples from both the cases and controls were taken for assessing their nutritional status. Data were analyzed using Student's t-test, Chi-square test, univariate and multivariate unconditional logistic regression to study the relationship between different variables. Results: The results revealed that the cases had a significantly (p<0.05) higher median age than the controls but there were no significant (p>0.05) differences in the mean weight, height, BMI, serum ferritin and haemoglobin concentrations between the cases and controls. High prevalence of overweight and obesity was found in both cases (67.4%) and controls (81.4%). Cases had a significantly lower mean dietary energy, protein, carbohydrates, and fat intake than the controls but there was no significant difference (p>0.05) in the mean iron intake between the cases and controls. Results of logistic regression showed no significant association between the dependent (CVD) and independent variables (age, diastolic blood pressure, BMI, exercise, family history, family type, family size, haemoglobin, ferritin, carbohydrates and protein). Conclusions: The study does not reveal significant relationship between the CVDs and nutritional status. The prevalence of overweight and obesity in women was found to be alarmingly high and needs to be addressed by appropriate interventions to prevent the incidence of metabolic syndromes and chronic diseases in population.

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“…Standing height and weight were measured using a manufactured instrument, and the body mass index (BMI) was calculated by dividing the body weight by the height (in kg/m 2 ). Participants with a BMI <18.5 kg/m 2 were categorized as underweight [29]. Respondents were asked to report whether they had been diagnosed and treated by a doctor for any specific medical conditions.…”

Section: Covariatesmentioning

confidence: 99%

Serum Albumin and Activities of Daily Living in Chinese Centenarians: A Cross-Sectional Study

Han

Wang

Jia

et al. 2020

Preprint

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Abstract Background Objective deterioration in activities of daily living (ADL) exists in older people, particularly grows with age. While as the criterion standard of positive aging and longevity, little information that focuses on centenarians is available. The objective of this study is to examine the relationship between serum albumin and activities of daily living among centenarians in long-lived areas.Methods design—population-based cross-sectional study; setting—a complete sample study in Hainan, the longest-lived areas of China; subjects—Chinese older adults aged 100 and above (N=1002); measurements—serum albumin, basic and instrumental activities of daily living (BADL and IADL).Results Of 1002 participants included in the analysis 287(28.64%) were BADL disability, and 648(64.67%) were IADL disability. The median serum albumin level was 38.5 g/L (interquartile range, 36.2-41.3). In multivariable analyses controlling for socio-demographic characteristics, lifestyle characteristics and other influential factors, low albumin in the bottom quartile were associated with BADL disability (OR=5.994;95% CI: 3.542-10.143) and IADL disability (OR=4.398; 95% CI, 2.661-7.269). Serum albumin concentration showed a significant inverse linear relationship with ADL disability (P for trend <0.001). In sex-stratified analyses, the association was more pronounced in women. And we found a nonlinear relationship between serum albumin and IADL disability in female centenarians (P=0.025) from restricted cubic splines.Conclusions Low levels of albumin were associated with the decline in ADL function in centenarians, and this association was gender-specific and more prominent in the female.

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Changes in BMI Before and During Economic Development and Subsequent Risk of Cardiovascular Disease and Total Mortality: A 35-Year Follow-up Study in China

Cited by 24 publications

References 36 publications

BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants

BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants

Cardiovascular Diseases in Relation to Anthropometric, Biochemical and Dietary Intake in Women: A Case Control Study

Serum Albumin and Activities of Daily Living in Chinese Centenarians: A Cross-Sectional Study

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