Role of Body Mass Index History in Predicting Risk of the Development of Hypertension in Japanese Individuals

Body mass index, neck circumference, and hypertension: a prospective cohort study

Objective

This study aimed to investigate the association between BMI combined with neck circumference and the risk of hypertension.

Methods

We selected participants from the Kailuan study in 2014 who were normotensive as our research subjects. We compared the risk of hypertension among individuals in group 1 (non-obese with low neck circumference), group 2 (non-obese with high neck circumference), group 3 (obese with low neck circumference), and group 4 (obese with high neck circumference).

Results

After a median observation period of 3.86 years, hypertension occurred in 13,383 participants. Subjects in Group 2, 3, and 4 had significantly higher risks of hypertension compared to Group 1, with hazard ratios (HRs) of 1.066 (95% CI: 1.025, 1.110), 1.322 (95% CI: 1.235, 1.415), and 1.422 (95% CI: 1.337, 1.512), respectively. Additionally, adding BMI to a conventional model had a greater incremental effect on predicting hypertension compared to adding neck circumference alone. However, considering both BMI and neck circumference together further improved the prediction of hypertension.

Conclusion

Individuals with both high BMI and high neck circumference face a higher risk of hypertension. Moreover, BMI is a superior predictor of hypertension risk compared to neck circumference, but using both of these measures can further enhance the accuracy of hypertension risk prediction.

Associations between TyG-BMI and normal-high blood pressure values and hypertension: cross-sectional evidence from a non-diabetic population

Objective

Triglyceride glucose body mass index (TyG-BMI) has been shown to be strongly associated with a variety of chronic diseases. However, little is known about the associations between TyG-BMI and normal-high blood pressure (BP) values and hypertension (HTN).

Method

The current study was cross-sectional in design and included 15,464 non-diabetic participants recruited between 1994 and 2016 in the NAGALA (NAfld in the Gifu Area, Longitudinal Analysis) study. Associations between TyG-BMI and normal-high BP values and HTN were assessed using multivariate logistic regression. The ability of the TyG index, BMI, and their combined index TyG-BMI to identify normal-high BP values and HTN was compared by receiver operating characteristic (ROC) curves.

Results

Among the 15,464 eligible non-diabetic participants, 28.56% (4,416/15,464) and 6.23% (964/15,464) had normal-high BP values and HTN, respectively. Multivariate logistic regression analysis showed positive correlations between BMI, TyG index, TyG-BMI and normal-high BP values/HTN; after standardized regression coefficients, TyG-BMI had the strongest association with normal-high BP values and HTN compared to BMI and TyG index. In the fully adjusted model, the odds ratio (OR) value corresponding to the relationship between TyG-BMI and HTN/normal-high BP values was 2.35; when TyG-BMI was used as a categorical variable, compared with the lowest quartile of TyG-BMI the regression coefficient for the association of the highest quartile of TyG-BMI with normal-high BP values increased by 426%, while the regression coefficient for the association with HTN increased by 527%. In further spline regression analysis, we also found that there was a linearly positive correlation between TyG-BMI and systolic BP/diastolic BP (SBP/DBP), which supported the linear trend between TyG-BMI and HTN/normal-high BP values (P-trend <0.0001). In addition, ROC analysis showed that TyG-BMI had good diagnostic values for both normal-high BP values and HTN, and TyG index combined with BMI can significantly improve the ability of a single index to identify normal-high BP values and HTN.

Conclusion

In the non-diabetic population, TyG-BMI showed a significant positive correlation with both normal-high BP values and HTN, and TyG-BMI was of higher value for the identification of both normal-high BP values and HTN compared to BMI and TyG index alone.

Gender-specific predictive ability for the risk of hypertension incidence related to baseline level or trajectories of adiposity indices: a cohort study of functional community

BACKGROUND

Early prevention of hypertension is important for global cardiovascular disease morbidity and mortality. This study aims to explore better predictors for hypertension incidence related to baseline level or trajectories of adiposity indices, as well as the gender-specific effect.

METHODS

6085 subjects from a functional community cohort in urban Beijing participated in our study. Restricted cubic splines were used to estimate nonlinear associations of body mass index (BMI) and waist-to-height ratio (WHtR) as continuous variable with risk of hypertension. Stepwise logistic regression model was performed to estimate the relative risks (RRs) of adiposity indices and metabolic status, adjusted for covariates. Nomogram models and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive power of BMI trajectory groups and WHtR trajectory groups on hypertension incidence. Further, all analysis were performed by gender.

RESULTS

The risk of hypertension incidence was related to BMI trajectory groups (persistent overweight: RR = 1.88, 95% CI: 1.48-2.37; persistent obesity: RR = 2.79, 95% CI: 2.18-3.56; persistent the highest: RR = 4.30, 95% CI: 3.20-5.78) and WHtR trajectory groups (persistent medium: RR = 2.69, 95% CI: 2.07-3.50; persistent high: RR = 3.85, 95% CI: 2.92-5.09; increasing to higher: RR = 7.00, 95% CI: 4.96-9.89). In total population, BMI trajectories and WHtR trajectories showed similar ability to predict the risk of hypertension incidence with AUC 0.723 and 0.726, respectively. After stratified by gender, both BMI trajectories and WHtR trajectories showed higher power in female than male (BMI trajectories: 0.762 vs. 0.661; WHtR trajectories: 0.768 vs. 0.661).

CONCLUSIONS

BMI and WHtR trajectories have higher predictive power for hypertension incidence compared to baseline data. Females are more vulnerable to obesity than males.

Clinical Significance of Lifetime Maximum Body Mass Index in Predicting the Development of T2DM: A Prospective Study in Beijing

BACKGROUND

Overweight and obesity are well-known risk factors for type 2 diabetes mellitus (T2DM). The effect of the maximum body mass index (BMImax), which indicates the highest body weight before the diagnosis of T2DM, is not fully understood. This study aimed to explore the predictive value of BMImax in the progression of diabetes.

METHODS

This prospective study recruited 2018 subjects with normal glucose tolerance in Beijing, China. The subjects were followed up for eight years, and the association between BMImax and glucose outcomes was evaluated.

RESULTS

Ninety-seven of the 2,018 participants developed diabetes by the end of the study. Compared to individuals with normal glucose tolerance, those who developed diabetes were characterized by higher levels of fasting plasma glucose (FPG), 2 h postload glucose (PBG), glycosylated hemoglobin (HbA_1c), systolic blood pressure (SBP), and low-density lipoprotein cholesterol (LDL-c), a higher prevalence of a familial history of diabetes and a lower level of high-density lipoprotein cholesterol (HDL-c). Multivariate regression analysis of sex-stratified groups suggested that FPG, HbA_1c, SBP and familial history of diabetes were independent risk factors for diabetes, but that BMImax was a unique indicator for female patients.

CONCLUSIONS

BMImax might be an independent predictor of T2DM in females, but it does not seem to be associated with the risk of diabetes in males. BMImax could be regarded as an indicator in the prevention and management of diabetes.

Hypertension, BMI, and cardiovascular and cerebrovascular diseases

Hypertension is associated with body mass index (BMI) and cardiovascular and cerebrovascular diseases (CCDs). Whether hypertension modifies the relationship between BMI and CCDs is still unclear. We examined the association between BMI and CCDs and tested whether effect measure modification was present by hypertension. We identified a population-based sample of 3,942 participants in Shuncheng, Fushun, Liaoning, China. Hypertension was defined as any past use of antihypertensive medication or having a measured systolic/diastolic blood pressure ≥130/80 mm Hg. BMI was calculated from measured body weight and body height. Data on diagnosed CCDs were self-reported and validated in the medical records. We used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between BMI and CCDs. Higher BMI was associated with increased odds of having CCDs (OR = 1.19, 95% CI: 1.07–1.31). This association was significantly modified by hypertension (P for interaction <0.001), with positive associations observed among hypertensive individuals (OR = 1.28, 95% CI: 1.14–1.42). Age, sex, and diabetic status did not modify the relationship between BMI and CCDs (all P for interaction >0.10). Although higher BMI was associated with increased odds of CCDs, the relationship was mainly limited to hypertensive patients.

Body Mass Index From Early-, Mid-, and Older-Adulthood and Risk of Heart Failure and Atherosclerotic Cardiovascular Disease: MESA

Background

Obesity contributes significantly to risk of atherosclerotic cardiovascular disease (ASCVD) and especially for heart failure (HF). An elevated body mass index (BMI) in older adults might not carry the same risk as in younger adults, but measured weights at other lifetime points are often not available. We determined the associations of self‐reported weights from early‐ and mid‐adulthood, after accounting for measured weight at older age, with incident HF/ASCVD risk.

Methods and Results

We studied 6437 MESA (Multi‐Ethnic Study of Atherosclerosis) participants (aged 45–84, free of baseline HF/ASCVD) with self‐reported weights at ages 20 and 40 years (by questionnaire), measured weights at up to 5 in‐person examinations (2000–2012), and follow‐up for adjudicated HF/ASCVD events. Participant mean±SD age at the baseline examination was 62.2±10.2 years. Over median follow‐up of 13 years, 290 HF and 828 ASCVD events occurred. After adjustment for cardiovascular risk factors and baseline BMI, higher self‐reported weights at ages 20 and 40 years were independently associated with increased risk of incident HF with hazard ratios (95% confidence interval) of 1.27 (1.07–1.50) and 1.36 (1.18–1.57), respectively, per 5‐kg/m² higher BMI. For incident ASCVD, only higher BMI at age 20 years was associated after accounting for current BMI (1.13 [1.01–1.26] per 5 kg/m²). Obesity during follow‐up examinations was also associated with incident HF (1.72 [1.21–2.45]) but not ASCVD.

Conclusions

Self‐reported lifetime weight is a low‐tech tool easily utilized in any clinical encounter. Although subject to recall bias, self‐reported weights may provide prognostic information about future HF risk, incremental to current BMI, in a multiethnic cohort of middle‐aged to older adults.

Clinical Trial Registration

URL: http://www.clinicaltrials.gov. Unique identifier: NCT00005487.

A body mass index over 22 kg/m2 at college age is a risk factor for future diabetes in Japanese men

Background

There is a high incidence of type 2 diabetes in Asian adults, even those with a normal body mass index (BMI) (<25.0 kg/m²). For example, it has been shown that a slightly increased BMI (>23 kg/m²) at middle age is a risk factor for type 2 diabetes in Asians. In this historical cohort study, we investigated whether a slightly increased BMI at college age was also a risk factor for future diabetes in Japanese men.

Methods

Six hundred and sixty-one male alumni who graduated from a physical education school between 1971 and 1991 and who responded to follow-up investigation between 2007 and 2017 were included in this study. Participants were categorized into four categories: college BMI of <21.0 kg/m², 21.0–22.0 kg/m², 22.0–23.0 kg/m², and ≥23.0 kg/m², and the incidence and risk ratio of diabetes were compared between groups.

Results

The median follow-up period was 32 years (interquartile range, IQR: 27–36), which included 20,983 person-years of observation. Subjects were 22 (22–22) years old at college graduation, and 55 (50–59) years old at the final follow-up investigation. During the study period, 56 men developed diabetes; the prevalence rates for the lowest to highest BMI categories were 4.4%, 7.6%, 10.5%, and 11.3%, respectively, and their adjusted hazard ratios were 1.00 (reference), 1.77 (95% CI: 0.68–4.30), 2.42 (1.00–5.84), and 2.53 (1.06–6.07), respectively (p = 0.03 for trend).

Conclusion

Our data suggest that a BMI over 22.0 kg/m² at college age is a risk factor for diabetes later in life in Japanese men.

Effect of BMI and Its Optimal Cut-Off Value in Identifying Hypertension in Uyghur and Han Chinese: A Biethnic Study from the China National Health Survey (CNHS)

Objective

The effect of adiposity on hypertension among Uyghur Chinese is not clear. This study aimed to compare the effect of BMI and its optimal cut-off value in identifying hypertension in Uyghur and Han adults in China.

Methods

By using a multistage stratified sampling method, 3072 Uyghur and 3195 Han adults underwent questionnaire interview, physical examination, and biochemical tests. Age- and sex-standardized prevalence of hypertension was calculated. Adjusted odds ratios for adiposity associated with hypertension were estimated. ROC analyses were used for assessing the ethnic and sex specific optimal BMI cut-off values in identifying hypertension.

Results

Both in Uyghur and Han, increased BMI was consistent with the elevated systolic and diastolic blood pressure. Although more Uyghur were overweight/obese, their standardized prevalence of hypertension (17.87%) was lower than that of Han (20.28%). Han adults had 1.42 times odds than Uyghur of hypertension. The adjusted ORs of overweight and obesity were 2.67 and 6.04 in Uyghur and 2.74 and 7.58 in Han. In male, the optimal cut-off values of BMI identifying hypertension in Uyghur and Han were 24.6 kg/m² and 24.9 kg/m² , respectively, but the correspond values in Uyghur and Han females were 27.2 kg/m² and 25.0 kg/m².

Conclusions

Adiposity had strong effect on hypertension, but this effect was less strong in Uyghur female than in Han female.

Disparities in the impact of overweight on hypertension among Asians: a Japanese and Thai population-based study

The divergence in cardiovascular disease risk among Asian countries may be related to differences in economics, lifestyles, and cultural backgrounds. We examined the differential association of overweight and hypertension between the high- and middle-income Asian countries, namely Japan and Thailand and extended to compare other cardiovascular risk factors between these two countries, using the data sets from the annual health examinations conducted in 127,152 Japanese (mean age, 41.5 ± 11.1 years; mean body mass index [BMI], 22.4 ± 3.4 kg/m²) and 4243 Thai (mean age, 47.9 ± 10.7 years: mean BMI, 24.0 ± 3.7 kg/m²) aged over 18 years with no history of hypertension treatment. Hypertension was diagnosed as office SBP ≥ 130 mmHg and/or office DBP ≥ 80 mmHg. Overweight was defined as BMI ≥ 25 kg/m². The analysis using the direct standardization method showed a lower prevalence of hypertension in the Japanese than in the Thai population (31.8% vs. 57.3%, P < 0.001). The Japanese population had higher estimated glomerular filtration rate and lower cholesterol level and BMI than in the Thai population (all P < 0.001). The association between overweight and hypertension was observed in both populations regardless of age and sex (all P < 0.05). In the analysis stratified by age and sex, the association between overweight and the presence of hypertension was more prominent in the Japanese population aged <50 years in both sexes compared with the Thai population (all P for interaction < 0.001). These results confirmed the differential impact of overweight on hypertension between the high- and middle-income countries even in the similar regions of Asia.

Body mass index, abdominal adiposity, weight gain and risk of developing hypertension: a systematic review and dose-response meta-analysis of more than 2.3 million participants

OBJECTIVE

This study aimed to test the association between anthropometric measures and risk of developing hypertension.

METHODS

We did a systematic search using PubMed and Scopus, from inception up to January 2017. Prospective cohort studies reporting the risk estimates of hypertension for three or more quantitative categories of indices of general and abdominal adiposity were included. Summary relative risks were calculated using random-effects models.

RESULTS

Fifty-seven prospective cohort studies were included. Summary relative risks were 1.49 (95% confidence interval [CI]: 1.41, 1.58; I²  = 97.4%, n = 50) for a five-unit increment in body mass index, 1.27 (95%CI: 1.15, 1.39; I²  = 95.0%, n = 14) for a 10-cm increment in waist circumference, 1.16 (95%CI: 1.09, 1.23; I²  = 77.8%, n = 5) for weight gain equal to a one-unit increment in BMI, and 1.37 (95%CI: 1.24, 1.51; I²  = 76.4%, n = 8) and 1.74 (95%CI: 1.35, 2.13; I²  = 58.9%, n = 4) for a 0.1-unit increment in waist-to-hip ratio and waist-to-height ratio, respectively. The risk of hypertension increased continuously with increasing all anthropometric measures, and also along with weight gain.

CONCLUSION

Being as lean as possible within the normal body mass index range may be the best suggestion in relation to primary prevention of hypertension.

Slightly increased BMI at young age is a risk factor for future hypertension in Japanese men

Background

Hypertension is developed easily in Asian adults with normal body mass index (BMI) (~23 kg/m²), compared with other ethnicities with similar BMI. This study tested the hypothesis that slightly increased BMI at young age is a risk factor for future hypertension in Japanese men by historical cohort study.

Methods

The study participants were 636 male alumni of the physical education school. They had available data on their physical examination at college age and follow-up investigation between 2007 and 2011. The participants were categorized into six categories: BMI at college age of <20.0 kg/m², 20.0–21.0kg/m², 21.0–22.0kg/m², 22.0–23.0kg/m², 23.0–24.0kg/m², and ≥24.0kg/m², and the incidence of hypertension was compared.

Results

This study covered 27-year follow-up period (interquartile range: IQR: 23–31) which included 17,059 person-years of observation. Subjects were 22 (22–22) years old at graduated college, and 49 (45–53) years old at first follow-up investigation. During the period, 120 men developed hypertension. The prevalence rates of hypertension for lowest to highest BMI categories were 9.4%, 14.6%, 16.1%, 17.5%, 30.3%, and 29.3%, respectively (p<0.001 for trend), and their hazard ratios were 1.00 (reference), 1.80 (95%CI: 0.65–4.94), 2.17 (0.83–5.64), 2.29 (0.89–5.92), 3.60 (1.37–9.47) and 4.72 (1.78–12.48), respectively (p<0.001 for trend). This trend was similar after adjustment for age, year of graduation, smoking, current exercise status and current dietary intake.

Conclusion

Slightly increased BMI at young age is a risk factor for future hypertension in Japanese men.

Weight gain since age of 20 as risk of metabolic syndrome even in non-overweight individuals

PURPOSE

Metabolic syndrome (MetS), regardless of the presence of obesity, is known as a risk of diabetes and cardiovascular disease. Weight gain after age 20 reported to be associated with these diseases. Impact of the difference between the body mass index (BMI) at examination and BMI at age 20 (ΔBMI_exa-20y) on MetS, especially in non-overweight individuals, remains to be elucidated.

METHODS

We analyzed the data of 24,363 individuals (14,301 men and 10,062 women) in this cross-sectional study. The diagnosis of MetS was diagnosed when three or more of the following criteria were present: hypertension, hyperglycemia, hypertriglyceridemia, low HDL-cholesterol level, and abdominal obesity. Logistic regression was performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) adjusting for age, alcohol, smoking, exercise, and BMI at examination.

RESULTS

Compared to the lowest ΔBMI_exa-20y tertile (ΔBMI_exa-20y < 1.2 kg/m² in men and ≤0 kg/m² in women), the highest tertile (ΔBMI_exa-20y ≥ 3.2 kg/m² in men and ≥2.0 kg/m² in women) was associated with the risk of the presence of MetS (multivariate OR = 1.80, 95%CI 1.53-2.11, p < 0.001 in men and OR = 3.27, 95%CI 2.22-4.96, p < 0.001 in women). This result was also applicable in non-overweight individuals (multivariate OR = 2.06, 95%CI 1.46-2.92, p < 0.001 in men and OR = 2.49, 95%CI 1.40-4.64, p < 0.001 in women).

CONCLUSIONS

Our analyses showed that ΔBMI_exa-20y is associated with the risk of the presence of MetS, even in non-overweight individuals. It is thus important to check weight changes from early adulthood, even in non-overweight individuals.

Ideal cardiovascular health and incident hypertension: The longitudinal community-based Kailuan study

Ideal cardiovascular health (CVH) has been defined by the American Heart Association as the absence of disease and presence of 7 key health factors. Since it is unknown whether cumulative exposure to CVH reduces the risk of developing arterial hypertension, we prospectively examined the potential association between cumulative CVH (cumCVH) score (except for blood pressure metrics) and incident hypertension.Of the 101,510 participants with an age range of 18 to 98 years in this longitudinal community-based Kailuan study, our cohort included those 15,014 participants without hypertension at baseline and who had follow-up examinations 2, 4, and 6 years later. CumCVH was calculated as the summed CVH score for each examination multiplied by the time between the 2 examinations (points × year). Based on the cumCVH score, the study population was stratified into groups of <44 points, 44 to 48 points, 49 to 54 points, 55 to 59 points, and ≥60 points.Incidence of hypertension ranged from 16.76% in the lowest cumCVH category to 11.52% in the highest cumCVH category. After adjusting for age, sex, education level, income level, high-sensitivity C-reactive protein concentration, uric acid concentration, resting heart rate, parental history of hypertension at baseline, and medication usage before the third follow-up examination, participants in the highest cumCVH category had a significantly reduced risk of incident hypertension compared with those in the lowest cumCVH category (adjusted odds ratio 0.60, 95% confidence interval 0.50-0.71). For every increase in category based on the cumCVH score, the risk of hypertension decreased by approximately 2% (odds ratio 0.98, 95% confidence interval 0.97-0.98). The effect was consistent across sex and age groups.A higher cumCVH score is associated with a lower risk of incident hypertension.

Impact of individual components and their combinations within a family history of hypertension on the incidence of hypertension: Toranomon hospital health management center study 22

Although a family history (FH) of hypertension is a risk factor for the development of hypertension, only a few studies have investigated in detail the impact of individual components of an FH on incident hypertension. We investigated the impact of individual components and their combinations on the presence or development of hypertension considering obesity, smoking habits, physical activity, and other metabolic parameters.Studied were 12,222 Japanese individuals without hypertension (n = 9,766) and with hypertension (n = 2,456) at the baseline examination. The presence or incidence of hypertension during 5 years after a baseline examination was assessed by the presence of systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg or a self-reported history of clinician-diagnosed hypertension. In this prospective study, the odds ratio for incident hypertension was 1.39 (95% confidence interval [CI], 1.22, 1.59) for individuals with any FH of hypertension compared with those without such an FH. Individuals with an FH of hypertension in both parents and one or more grandparents had an odds ratio of 3.05 (95% CI 1.74, 5.36) for hypertension compared with those without an FH of hypertension. FH was associated with incident hypertension independently of other modifiable risk factors such as obesity, smoking, physical inactivity, hyperglycemia, hyperuricemia, and hypertriglyceridemia.A parental history of hypertension was an essential component within an FH for incident hypertension. FH of hypertension over two generations with both parents affected was the most important risk factor for incident hypertension. Although an FH is not a modifiable risk factor, modifying other risk factors could contribute to reducing the risk of hypertension even among individuals with a family history of hypertension.

Maximum BMI and microvascular complications in a cohort of Japanese patients with type 2 diabetes: the Japan Diabetes Complications Study

AIMS

The aim of this study was to examine the associations between possible indices of obesity based on information on weight history and the incidence of microvascular complications.

METHODS

A cohort of individuals with type 2 diabetes from 59 institutes in Japan was followed for 8years. Patients were classified into three categories according to weight at entrance and past maximum weight: normal (BMI at baseline <25kg/m(2) and maximum BMI <25kg/m(2)), past obesity (BMI at baseline <25kg/m(2) and maximum BMI ≥25kg/m(2)), and current obesity (BMI at baseline ≥25kg/m(2)) groups. The outcomes were diabetic retinopathy and overt nephropathy.

RESULTS

BMI at maximum and baseline of the 1809 patients was 26.5±3.5 and 23.1±3.0kg/m(2) (p<0.01), respectively (23.0±1.6 and 20.6±1.9kg/m(2) for normal, 27.4±2.0 and 22.8±1.4kg/m(2) for past obesity, and 30.1±2.9 and 27.0±1.8kg/m(2) for current obesity). The hazard ratios of past and current obesity compared to normal were 1.92 (95% CI, 1.08-3.41; p=0.03) and 2.21 (1.16-4.22; p=0.02), respectively, for overt nephropathy and 1.38 (1.05-1.83; p=0.02) and 1.64 (1.18-2.28; p<0.01), respectively, for diabetic retinopathy after adjustment for confounders.

CONCLUSIONS

Past obesity as well as current obesity were associated with increased risks of microvascular complications. Further identification of high-risk populations may be possible by classifying normal weight patients by past obesity.