Impact of longitudinal changes in serum uric acid levels and weight gain on new-onset atrial fibrillation-The Nishimura Health Survey: a retrospective cohort study

OBJECTIVE

Uric acid (UA) and obesity are significant risk factors for new-onset atrial fibrillation (AF). Based on the pathogenesis mechanisms of new-onset AF involving obesity and UA, it is possible that UA and weight gain may interact with each other. We investigated the impact of UA and weight gain on new-onset AF using a simple measure of weight change over time, 'weight gain of ≥10 kg after age 20'.

DESIGN

A retrospective cohort study.

SETTING AND PARTICIPANTS

We retrospectively analysed 16 444 Japanese aged over 30 without AF from a cohort of employees undergoing annual health check-up from 2 April 2013 to 30 April 2022. We conducted a landmark survival analysis to assess the impact of longitudinal changes in UA and obesity on new-onset AF. Weight gain was defined as 'weight gain of≥10 kg after age 20' using a standardised self-administered questionnaire.

PRIMARY OUTCOME MEASURE

Subjects were diagnosed with AF when AF was present in the electrocardiogram or when indicated in a patient interview.

RESULT

During a median follow-up period of 3.91 years, 69 new-onset AF occurred (incidence; 1.12/1000 person-years). UA levels were 5.76 (±1.37) in the weight gain group and 4.87 (±1.31) in the no weight gain group, both within normal limits. A multivariable landmark survival analysis including interaction term showed that new-onset AF was significantly associated with age, sex, baseline systolic blood pressure, baseline UA and the interaction term between UA change and weight gain. The interaction term between weight gain and UA change indicates that HR for every UA 1 mg/dL increase was 1.96 (95% CI 1.38 to 2.77) in subjects with weight gain and 0.95 (95% CI 0.61 to 1.48) in those without.

CONCLUSION

Even if UA levels are within the normal range, subsequent UA change and weight gain in adulthood have an interactive effect on new-onset AF.

Risk Factors for Heart Failure and Coronary Artery Disease Mortality Based on the National Vital Statistics During a 25-Year Follow-up in Japan - NIPPON DATA90

BACKGROUND

Prevention of heart failure (HF) is a public health issue. Using the National Vital Statistics, we explored risk factors for HF and coronary artery disease (CAD) mortality.

METHODS AND RESULTS

Altogether, 7,556 Japanese individuals aged ≥30 years in 1990 were followed over 25 years; of these, 139 and 154 died from HF and CAD, respectively. In multivariable Cox proportional hazard analysis, common risk factors for CAD and HF mortality were hypertension (hazard ratio [HR] 1.48 [95% confidence interval {CI} 1.00-2.20] and 2.31 [95% CI 1.48-3.61], respectively), diabetes (HR 2.52 [95% CI 1.63-3.90] and 2.07 [95% CI 1.23-3.50], respectively), and current smoking (HR 2.05 [95% CI 1.27-3.31) and 1.86 [95% CI 1.10-3.15], respectively). Specific risk factors for CAD were male sex, chronic kidney disease, history of cardiovascular disease, and both abnormal T and Q waves, with HRs (95% CIs) of 1.75 (1.05-2.92), 1.78 (1.19-2.66), 2.50 (1.62-3.88), and 11.4 (3.64-36.0), respectively. Specific factors for HF were current drinking (HR 0.43; 95% CI 0.24-0.78) and non-high-density lipoprotein cholesterol (non-HDL-C; HR 0.81; 95% CI 0.67-0.98). There was an inverse association between non-HDL-C and HF in those aged ≥65 years (HR 0.71; 95% CI 0.56-0.90), but not in those aged <65 years.

CONCLUSIONS

We identified common risk factors for HF and CAD deaths; a history of cardiovascular disease was a specific risk for CAD.

Low BMI and weight loss aggravate COPD mortality in men, findings from a large prospective cohort: the JACC study

To clarify how low BMI and weight loss were associated with risk of chronic obstructive pulmonary disease (COPD) mortality, in a large prospective cohort of the general population across Japan, the Japan Collaborative Cohort Study, conducted between 1988 and 2009. A total of 45,837 male residents were observed for a median period of 19.1 years. Self-administered questionnaires, collecting information on BMI, weight loss since the age of 20, lifestyles, history of diseases, as well as records of COPD mortality, were analysed at 2019. During follow-up, 268 participants died from COPD. The multivariate-adjusted hazard ratio (95% confidence interval) of COPD mortality associated with a 1-SD increment of body mass index (BMI) was 0.48 (0.41–0.57), while for weight change from age of 20 (+ 2.0 kg) it was 0.63 (0.59–0.68). These associations were persistently observed after stratifications with smoking status, excluding those having airway symptoms in the baseline survey, and excluding early COPD deaths within 5, 10 and 15 years. Our study suggests that BMI and weight change since the age of 20 could be markers for COPD prognosis, indicated by risk of COPD mortality.

Caloric restriction in heart failure: A systematic review

BACKGROUND AND AIMS

Nutrition exerts a determinant role in maintaining cardiac function, regulating insulin and mitochondrial efficiency, that are essential to support energy production for contractility. In patients with heart failure (HF), myocardial tissue efficiency is reduced because of decreased mitochondrial oxidative capacity. In HF conditions, cardiomyocytes shift toward glucose and a reduction in fatty acid utilization. Calorie restriction induces weight loss in obese patients and can be beneficial in some HF patients, although this has generated some controversy. This study aims to evaluate the impact of the CR diet on myocardial efficiency in HF patients.

METHODS

On Pubmed and Embase, articles related to the keywords: "chronic heart failure" with "diet," "nutrition," "insulin resistance," and "caloric restriction" have been searched, Studies, including exercise or food supplementation, were excluded.

RESULTS

The retrieved articles showed that weight loss, through the activation of insulin and various kinase pathways, regulates the efficiency of myocardial tissue. In contrast, insulin resistance represents a strong cardiovascular risk factor that reduces myocardial function.

CONCLUSION

CR diet represents the first therapy in overweight HF patients, both with preserved ejection fraction (HFpEF) and with reduced ejection fraction (HFrHF) because reducing body fat, the myocardial function increased. Insulin activity is the critical hormone that regulates mitochondrial function and cardiac efficiency. However, a severely restricted diet may represent a severe risk factor correlated with all-cause mortality, particularly in underweight HF patients. Long-term studies conducted on large populations are necessary to evaluate the effects of CR on myocardial function in HF patients.

Clinical significance of nutritional status in patients with chronic heart failure-a systematic review

Chronic heart failure (CHF) and nutritional disorders are recognized as major challenges for contemporary medicine. This study aims to estimate the role of nutritional disorders as risk factors for CHF development and prognostic factors for CHF patients and the outcome of nutritional intervention in CHF. Full-text English articles published between January 2013 and February 2019 available in the PubMed and Scopus databases were considered. Seventy-five prospective, retrospective, and cross-sectional studies as well as meta-analyses on patients with CHF, reporting correlation of their nutritional status with the risk and prognosis of CHF and the outcome of nutritional interventions in CHF were all included. Higher BMI increases the risk of CHF by 15-70%, especially when associated with severe, long-lasting and abdominal obesity. Overweight and obesity are associated with the reduction of mortality in CHF by 24-59% and 15-65%, respectively, and do not affect the outcome of invasive CHF treatment. Malnutrition increases the risk of mortality (by 2- to 10-fold) and the risk of hospitalization (by 1.2- to 1.7-fold). Favorable outcome of nutritional support in CHF patients was reported in a few studies. Nutritional disorders are prevalent in patients with CHF and play a significant role in the incidence, course, and prognosis of the disease. The existence of an "obesity paradox" in patients with CHF was confirmed. Further studies on the effect of nutritional support and body weight reduction in patients with CHF are necessary.

Weight Change and Mortality from Cardiovascular Diseases: The Japan Collaborative Cohort Study

Aim: The aim of this study was to assess the association between weight change and mortality due to cardiovascular diseases (CVDs) in a Japanese population.

Methods: We used the data of a population-based prospective cohort study that was conducted from 1988 to 1990 in 45 areas throughout Japan. Among a total of 69,681 men and women aged 40–79 with no history of CVD or cancer at baseline, the association between weight change from 20 years of age to baseline and CVD-related mortality was evaluated.

Results: During a median follow-up period of 19.1 years, we observed 4,274 deaths from total CVD. After adjusting for age, sex, and other potential confounding factors, compared with participants with a weight change of < 2.5 kg (stable weight), participants with a greater weight change (either loss or gain) had an increased risk of mortality from total CVD (U-shaped association). The hazard ratios for the total CVD risk in participants with a weight loss and a weight gain of ≥ 12.5 kg were 1.50 (95% confidence interval [CI], 1.30–1.72) and 1.21 (95% CI, 1.07–1.36), respectively. The associations between weight change and risk of mortality from ischemic heart disease or stroke showed similar trends. The risk of intracerebral hemorrhage was associated with weight loss only. Weight change was not associated with mortality from subarachnoid hemorrhage.

Conclusions: Weight loss or gain could be a risk factor for mortality from total or ischemic CVD, while weight loss could be a risk factor for intracerebral hemorrhage.

Association of anthropometry and weight change with risk of dementia and its major subtypes: A meta-analysis consisting 2.8 million adults with 57 294 cases of dementia

Uncertainty exists regarding the relation of body size and weight change with dementia risk. As populations continue to age and the global obesity epidemic shows no sign of waning, reliable quantification of such associations is important. We examined the relationship of body mass index, waist circumference, and annual percent weight change with risk of dementia and its subtypes by pooling data from 19 prospective cohort studies and four clinical trials using meta-analysis. Compared with body mass index-defined lower-normal weight (18.5-22.4 kg/m2 ), the risk of all-cause dementia was higher among underweight individuals but lower among those with upper-normal (22.5-24.9 kg/m2 ) levels. Obesity was associated with higher risk in vascular dementia. Similarly, relative to the lowest fifth of waist circumference, those in the highest fifth had nonsignificant higher vascular dementia risk. Weight loss was associated with higher all-cause dementia risk relative to weight maintenance. Weight gain was weakly associated with higher vascular dementia risk. The relationship between body size, weight change, and dementia is complex and exhibits non-linear associations depending on dementia subtype under scrutiny. Weight loss was associated with an elevated risk most likely due to reverse causality and/or pathophysiological changes in the brain, although the latter remains speculative.

Associations between family factors and body weight gain from 20 years old

BACKGROUND

Although family factors can greatly impact adult health, little is known about the extent to which family factors are related to body weight gain (BWG) in adulthood. This study aimed to examine the associations between family factors and BWG from 20 years old.

METHODS

Among the 6395 possible participants aged 35 to 79 years, 2884 men and 2171 women were eligible for the study. Present body mass indexes (BMI) were measured, and family factors and body weight from 20 years old (i.e., BMI_20yr) were collected using a self-administered questionnaire. The differences between BMI and BMI_20yr were calculated, and those with increases of BMI ≥2.5 kg/m² (i.e., ≥7.5 and 6.0 kg in men and women, respectively) were defined as 'cases' of BWG. Using a multiple logistic regression analysis, the odds ratios (ORs, 95% confidence intervals [CIs] and p for trend) were estimated.

RESULTS

In the men, no association was found. In the women, the ORs were 0.31, 1.00 and 0.77 (0.17-0.58, [reference], and (0.52-1.29), p < 0.001) as per their marital status: unmarried, married, and bereaved/divorced, respectively. Although no association was found with family structure (i.e., single, couple, and two and three generations living together), for familial relationships, the ORs were 1.00, 1.11 and 1.86 ([reference], 0.85-1.46, and 1.25-2.79, p < 0.01) for 'good', 'somewhat good', and 'not so good/not good', respectively. Even if a 'case' of BWG was ≥3.5 kg/m², nearly the same risks remained.

CONCLUSION

Marital status and family relationships were associated with decreased and increased risks of BWG only in the female participants. Family factors should be considered when advising women on body weight control.

Pre- and post-diagnosis body mass index and heart failure mortality: a dose-response meta-analysis of observational studies reveals greater risk of being underweight than being overweight

OBJECTIVE

To investigate the dose-response association between pre- and post-diagnosis body mass index (BMI) and heart failure (HF) mortality.

METHODS

Eligible observational studies were searched in databases, up to November 2017. We used random-effects generalized least squares spline models for trend estimation to derive pooled BMI unit-HF mortality relationship.

RESULTS

Sixteen cohort studies (six pre-diagnosis and 10 post-diagnosis BMI) were included, comprising a total of 258,379 subjects with 13,201 deaths due to HF. A nonlinear U-shaped association was found between pre-diagnosis BMI and the risk of HF mortality, with a greater risk from being at the lowest extreme, rather than being at the top category. The combined hazard ratio of HF mortality among the highest compared to the lowest category of pre-diagnosis BMI was 1.24 (0.65-2.37, I²  = 90.7%). No significant nonlinear association was found between post-diagnosis BMI and HF mortality as well as when comparing the highest to the lowest category of BMI.

CONCLUSIONS

This meta-analysis showed those with both high and low pre-diagnosis BMI had higher risk for HF mortality, with a greater risk from being too underweight, rather than being obese. No significant association was found between post-diagnosis BMI and the risk of HF mortality. Further detailed investigations are needed to accurately examine the potential mechanistic links between BMI and health outcomes.

Basic Anthropometric Measures in Acute Myocardial Infarction Patients and Individually Sex- and Age-Matched Controls from the General Population

We compared weight, height, waist and hip circumferences (hip), body mass index (BMI), and waist-to-hip ratio in acute myocardial infarction (MI) patients and individually sex- and age-matched control subjects from the general population in the catchment area of the patients and predicted the risk of MI status by these basic anthropometric measures. The study cohort comprised 748 patients ≤80 years of age with acute MI from a major Swedish cardiac center and their individually sex- and age-matched controls. The analyses were stratified for sex and age (≤65/≥66 years). Risk of MI was assessed by conditional logistic regression. A narrow hip in men ≥66 years was the single strongest risk factor of MI among the anthropometric measures. The combination of hip and weight was particularly efficient in discriminating men ≥66 years with MI from their controls (area under the receiver operating characteristic (AUROC) curve = 0.82). In men ≤65 years, the best combination was hip, BMI, and height (AUROC = 0.79). In women ≥66 years, the best discriminatory model contained only waist-to-hip ratio (AUROC = 0.67), whereas in women ≤65 years, the best combination was hip and BMI (AUROC = 0.68). A narrow hip reasonably reflects small gluteal muscles. This finding might suggest an association between MI and sarcopenia, possibly related to deficiencies in physical activity and nutrition.

Body Mass Index, Abdominal Fatness, and Heart Failure Incidence and Mortality: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies

BACKGROUND

Obesity has been associated with increased risk of heart failure, but whether overweight also increases risk is unclear. It is also unclear whether abdominal adiposity is more strongly associated with heart failure risk than general adiposity. We conducted a systematic review and meta-analysis of prospective studies to clarify the strength and shape of the dose-response relationship between general and abdominal adiposity and the risk of heart failure.

METHODS AND RESULTS

PubMed and Embase databases were searched up to October 10, 2014. Summary relative risks were calculated using random-effects models. A total of 28 studies (27 publications) were included. Twenty-three prospective studies with >15 905 incident cases among 647 388 participants were included in the analysis of body mass index and heart failure incidence, and 4 studies were included for heart failure mortality. The summary relative risk for a 5-unit increment in body mass index was 1.41 (95% confidence interval, 1.34-1.47; I(2)=83%) for heart failure incidence and 1.26 (95% confidence interval, 0.85-1.87; I(2)=95%) heart failure mortality. Although the test for nonlinearity was significant (P<0.0001), this appeared to be attributable to a threshold at a body mass index of ≈23 to 24 kg/m(2); however, there was evidence of increased risk even in the overweight body mass index range. The summary relative risk for a 10-cm increase in waist circumference was 1.29 (95% confidence interval, 1.21-1.37; I(2)=89%) and per 0.1-unit increase in waist-to-hip ratio was 1.29 (95% confidence interval, 1.13-1.47; I(2)=82%).

CONCLUSION

Overweight and obesity and abdominal adiposity are associated with increased risk of heart failure.

Television viewing time and mortality from stroke and coronary artery disease among Japanese men and women -- the Japan Collaborative Cohort Study

BACKGROUND

No study has examined the association between television (TV) viewing time and mortality from stroke and coronary artery disease (CAD) in Japanese.

METHODS AND RESULTS

A total of 35,959 men and 49,940 women aged 40-79 years without a history of cardiovascular disease (CVD) and cancer were followed from 1988-1990 until 2009. During 19.2 median years of follow-up, there were 2,553 deaths from stroke, 1,206 from CAD and 5,835 from total CVD. Compared with viewing TV for <2 h/day, mortality from stroke, CAD and total CVD were higher for ≥6 h/day of TV viewing. The multivariable hazard ratios (HRs) for ≥6 h/day of TV viewing were 1.15 (95% confidence interval: 0.96-1.37) for stroke, 1.33 (1.03-1.72) for CAD and 1.19 (1.06-1.34) for total CVD. The corresponding HRs for each 1-h/day increment in TV viewing time were 1.01 (0.99-1.04), 1.04 (1.01-1.08) and 1.02 (1.01-1.04), respectively. The excess risk of mortality from CAD and total CVD was somewhat attenuated after further adjustment for potential mediators such as history of hypertension and diabetes: the multivariable HRs for ≥6 h/day of TV viewing were 1.24 (0.96-1.61) and 1.14 (1.02-1.28). The corresponding HRs for each 1-h/day increment in TV viewing time were 1.03 (1.00-1.07) and 1.01 (1.00-1.03).

CONCLUSIONS

Prolonged TV viewing was associated with a small but significant increase in mortality from CAD and total CVD in Japanese.

The sex-specific association between BMI and coronary heart disease: a systematic review and meta-analysis of 95 cohorts with 1·2 million participants

BACKGROUND

The risk of developing coronary heart disease differs by sex, and accumulating evidence suggests that sex differences exist in the effect of coronary risk factors on vascular risk. So far, the existence of a sex difference in the association between BMI and coronary heart disease has not been systematically studied. Since sexual dimorphisms in body composition exist, we postulated that the association between BMI and coronary heart disease would differ between women and men.

METHODS

We did systematic searches of PubMed and Embase up to Feb 20, 2015, for studies of the longitudinal association between BMI and coronary heart disease in women and men from population-based cohorts. We excluded studies if they contained duplicate data from the same study, reported estimates only for Z scores or percentiles of BMI, did not report estimate uncertainty, did not report sex-specific estimates, recruited mainly individuals with a previous history of cardiovascular disease or from within selected populations, and those for which the full text was not available in English. We also included individual participant data from four large studies. Study results were pooled using random-effect models with inverse variance weighting. Our predefined primary endpoint was the pooled women-to-men ratio of the age-adjusted hazard ratios (HRs), or equivalent, relating (continuous and categorical) BMI to coronary heart disease.

FINDINGS

We reviewed a total of 8561 original entries twice for inclusion in the analysis, of which 32 published studies were eligible for inclusion. Data from 95 cohorts, 1,219,187 participants, and 37,488 incident cases of coronary heart disease were included. Higher BMI was significantly associated with age-adjusted coronary heart disease: for a one-unit (kg/m(2)) increment in BMI; the HR was 1·04 (95% CI 1·03-1·05) in women and 1·05 (1·04-1·07) in men. Compared with people of a normal weight, the age-adjusted HR of coronary heart disease for the underweight group was 1·25 (1·05-1·49) in women and 1·09 (0·91-1·23) in men; for the overweight group 1·20 (1·12-1·29) in women and 1·22 (1·12-1·32) in men; and for the obese group 1·61 (1·42-1·82) in women and 1·60 (1·43-1·79) in men. Overall, these associations did not differ between the sexes. The women-to-men ratios of the HRs were 0·99 (95% CI 0·98-1·00) for a one-unit increment in BMI, 1·10 (0·91-1·32) for the underweight group, 0·99 (0·92-1·07) for the overweight group, and 1·06 (0·95-1·17) for the obese group, relative to the normal weight group. Similar results were obtained after multiple adjustment and in a range of sensitivity analyses.

INTERPRETATION

Increased BMI, measured either continuously or categorically, has the same deleterious effects on the risk of coronary heart disease in women and men across diverse populations.

FUNDING

None.