BACKGROUND: The health effects of different weight loss strategies vary greatly, and the relationship between weight loss strategies, especially the combination of multiple strategies, and death is still unclear. We aimed to examine the associations of various numbers and combinations of weight loss strategies with all-cause and specific-cause mortality and to further evaluate the associations of different total weight loss volumes with mortality.
METHODS: Using data from NHANES (1999-2018) with 48,430 participants aged 20 and above, we collected fourteen self-reported weight loss strategies and identified five clusters using latent class analysis. Cox proportional hazards models were used to examine the association between the amounts and clusters of weight loss strategies and mortality.
RESULTS: During a median follow-up of 9.1 years of 48,430 participants, 7,539 deaths were recorded (including 1,941 CVDs and 1,714 cancer). Participants who adopted 2, 3-4, and ≥ 5 weight loss strategies had a lower risk of all-cause mortality, with HRs of 0.88 (95% CI, 0.81 to 0.97), 0.89 (95% CI, 0.81 to 0.96) and 0.71 (95% CI, 0.61 to 0.82). Regardless of weight loss or weight gain categories, there was a significant trend toward reduced mortality as the number of weight loss strategies increased (P trend < 0.05). Participants who adopted cluster-1 (four strategies), cluster-2 (five strategies) and cluster-3 (three strategies) had a significantly lower risk of all-cause mortality, with HRs of 0.71 (95% CI, 0.60 to 0.84), 0.70 (95% CI, 0.55 to 0.89) and 0.81 (95% CI, 0.70 to 0.94). Among them, cluster-1 and cluster-2 are both characterized by eating less food, exercising, drinking plenty of water, lowering calories and eating less fat. Conversely, cluster-4 (five strategies) and cluster-5 (four strategies) had marginally significant effects, and they both had actual higher total energy intakes. Similar associations were observed for CVDs and cancer mortality.
CONCLUSIONS: Employing two or more weight loss strategies was associated with a lower risk of death, even among those who gained weight. Eating less food, exercising, drinking plenty of water, lowering calories and eating less fat is a better combination of strategies. On this basis, limiting the actual intake of total energy is necessary.

Objectives: Evidence on cardiovascular-related and all-cause mortality risks in a wide range of cancer survivors is scarce but needed to inform prevention and management. Methods: We performed a nationwide prospective cohort study using information from the Continuous National Health and Nutrition Examination Survey (NHANES) in the United States and the linked mortality follow-up files, available for public access. A propensity score-matched analysis with a 1:1 ratio was conducted to reduce the baseline differences between participants with and without cancer. The relationship between cancer status and the cardiovascular-related and all-cause mortality risk was examined using weighted Cox proportional hazards regression. Independent stratification analysis and cancer-specific analyses were also performed. Results: The study sample included 44,342 participants, aged 20-85, interviewed between 1999 and 2018. Of these, 4,149 participants had cancer. All-cause death occurred in 6,655 participants, of whom 2,053 died from cardiovascular causes. Propensity-score matching identified 4,149 matched pairs of patients. A fully adjusted Cox proportional hazards regression showed that cancer was linked to an elevated risk of cardiovascular-related and all-cause mortality both before and after propensity score matching. Stratification analysis and cancer-specific analyses confirmed robustness of results. Conclusion: Our study confirmed that cancer was strongly linked to cardiovascular-related and all-cause mortality, even after adjusting for other factors that could impact a risk, including the American Heart Association (AHA)\'s Life\'s Simple 7 cardiovascular health score, age, sex, ethnicity, marital status, income, and education level.

UNASSIGNED: This study aimed to develop two predictive nomograms for the assessment of long-term survival status in hemodialysis (HD) patients by examining the prognostic factors for all-cause mortality and cardiovascular (CVD) event mortality.
UNASSIGNED: A total of 551 HD patients with an average age of over 60 were included in this study. The patients\' medical records were collected from our hospital and randomly allocated to two cohorts: the training cohort (n=385) and the validation cohort (n=166). We employed multivariate Cox assessments and fine-gray proportional hazards models to explore the predictive factors for both all-cause mortality and cardiovascular event mortality risk in HD patients. Two nomograms were established based on predictive factors to forecast patients\' likelihood of survival for 3, 5, and 8 years. The performance of both models was evaluated using the area under the curve (AUC), calibration plots, and decision curve analysis.
UNASSIGNED: The nomogram for all-cause mortality prediction included seven factors: age ≥ 60, sex (male), history of diabetes and coronary artery disease, diastolic blood pressure, total triglycerides (TG), and total cholesterol (TC). The nomogram for cardiovascular event mortality prediction included three factors: history of diabetes and coronary artery disease, and total cholesterol (TC). Both models demonstrated good discrimination, with AUC values of 0.716, 0.722 and 0.725 for all-cause mortality at 3, 5, and 8 years, respectively, and 0.702, 0.695, and 0.677 for cardiovascular event mortality, respectively. The calibration plots indicated a good agreement between the predictions and the decision curve analysis demonstrated a favorable clinical utility of the nomograms.
UNASSIGNED: Our nomograms were well-calibrated and exhibited significant estimation efficiency, providing a valuable predictive tool to forecast prognosis in HD patients.

UNASSIGNED: This study aims to investigate the correlation between sleep duration and all-cause and cardiovascular mortality in the general population.
UNASSIGNED: A total of 26,977 participants aged ≥18 years were included in the analysis from the National Health and Nutrition Examination Survey (NHANES) database covering the period from 2005 to 2014. Data on cardiovascular and all-cause deaths were collected until December 2019. Sleep duration was assessed using a structured questionnaire, and participants were categorized into five groups based on their reported sleep duration (≤5, 6, 7, 8, or ≥9 h). Kaplan-Meier survival curves were employed to examine the mortality rates across different sleep duration groups. Multivariate Cox regression models were utilized to explore the association between sleep duration and mortality. Additionally, a restricted cubic spline regression model was employed to identify the non-linear relationship between sleep duration and all-cause and cardiovascular mortality.
UNASSIGNED: The average age of participants was 46.23 ± 18.48 years, with 49.9% of the subjects being male. Over a median follow-up period of 9.42 years, 3,153 (11.7%) participants died from all-cause mortality, among which 819 (3.0%) were attributed to cardiovascular causes. The groups with sleep durations of ≥9 and ≤5 h exhibited the lowest cumulative survival rates for all-cause mortality and cardiovascular mortality, respectively. When using a sleep duration of 7 h as the reference, the hazard ratios (with 95% confidence intervals) for all-cause mortality were 1.28 (1.14-1.44) for ≤5 h, 1.10 (0.98-1.23) for 6 h, 1.21 (1.10-1.34) for 8 h, and 1.53 (1.35-1.73) for ≥9 h. The hazard ratios (with 95% confidence intervals) for cardiovascular mortality were 1.32 (1.04-1.67) for ≤5 h, 1.22 (0.97-1.53) for 6 h, 1.29 (1.05-1.59) for 8 h, and 1.74 (1.37-2.21) for ≥9 h. A U-shaped non-linear relationship between sleep duration and all-cause and cardiovascular mortality was observed, with inflection point thresholds at 7.32 and 7.04 h, respectively.
UNASSIGNED: The findings suggest that the risk of all-cause and cardiovascular mortality is minimized when sleep duration is approximately 7 h.

To investigate the relationship of the glycation gap (GGap) with all-cause and cardiovascular (CV) mortality in US adults.
This was a retrospective cohort study comprising 12 909 individual participant data from the National Health and Nutrition Examination Survey from 1999 to 2004 and their mortality data through 31 December 2019. Weighted Cox proportional hazards regression models and restricted cubic splines were used to investigate the associations between GGap and mortality.
During a median follow-up of 16.8 years, 3528 deaths occurred, including 1140 CV deaths. The associations of GGap with risk of all-cause and CV mortality were U-shaped (both P for non-linearity < .001). Compared with individuals with a GGap of 0.09%-0.38% (61st-80th centiles), the multivariable-adjusted HRs and 95% CIs for individuals with a GGap less than -0.83% (first-fifth centiles) and individuals with a GGap greater than 0.90% (96th-100th centiles) were 1.36 (1.10, 1.69) and 1.21 (1.00, 1.45) for all-cause mortality, and 1.77 (1.16, 2.71) and 1.43 (1.04, 1.95) for CV mortality. The GGap value associated with the lowest risk of all-cause and CV mortality was 0.38% in the general population and 0.78% among individuals with diabetes.
We found a U-shaped association between GGap and all-cause and CV mortality, with significant positive or negative GGap values associated with increased mortality risk, probably because of glycaemic variability and fructosamine-3-kinase activity.

UNASSIGNED: Calcium is involved in many biological processes, but the impact of serum calcium levels on long-term mortality in general populations has been rarely investigated.
UNASSIGNED: This prospective cohort study analyzed data from the National Health and Nutrition Examination Survey (1999-2018). All-cause mortality, cardiovascular disease (CVD) mortality, and cancer mortality were obtained through linkage to the National Death Index. Survey-weighted multivariate Cox regression was performed to compute hazard ratios (HRs) and 95% confidential intervals (CIs) for the associations of calcium levels with risks of mortality. Restricted cubic spline analyses were performed to examine the non-linear association of calcium levels with all-cause and disease-specific mortality.
UNASSIGNED: A total of 51,042 individuals were included in the current study. During an average of 9.7 years of follow-up, 7,592 all-cause deaths were identified, including 2,391 CVD deaths and 1,641 cancer deaths. Compared with participants in the first quartile (Q1) of serum calcium level [≤2.299 mmol/L], the risk of all-cause mortality was lower for participants in the second quartile (Q2) [2.300-2.349 mmol/L], the third quartile (Q3) [2.350-2.424 mmol/L] and the fourth quartile (Q4) [≥2.425 mmol/L] with multivariable-adjusted HRs of 0.81 (95% CI, 0.74-0.88), 0.78 (95% CI, 0.71-0.86), and 0.80 (95% CI, 0.73, 0.88). Similar associations were observed for CVD mortality, with HRs of 0.82 (95% CI, 0.71-0.95), 0.87 (95% CI, 0.74-1.02), and 0.83 (95% CI, 0.72, 0.97) in Q2-Q4 quartile. Furthermore, the L-shaped non-linear associations were detected for serum calcium with the risk of all-cause mortality. Below the median of 2.350 mmol/L, per 0.1 mmol/L higher serum calcium was associated with a 24% lower risk of all-cause mortality (HR: 0.76, 95% CI, 0.70-0.83), however, no significant changes were observed when serum calcium was above the median. Similar L-shaped associations were detected for serum calcium with the risk of CVD mortality with a 25% reduction in the risk of CVD death per 0.1 mmol/L higher serum calcium below the median (HR: 0.75, 95% CI, 0.65-0.86).
UNASSIGNED: L-shaped associations of serum calcium with all-cause and CVD mortality were observed in US adults, and hypocalcemia was associated with a higher risk of all-cause mortality and CVD mortality.

Objectives: Previous research revealed the relationship between hearing loss (HL) and all cause mortality. The aim of this study was to determine the association between HL and all causes and cause-specific mortality based on US adults. Methods: Data were obtained by linking National Health Interview Survey (NHIS) (2004-2013) with linkage to a mortality database to 31 December 2015. HL were categorized into four groups: good hearing, a little hearing difficulty, a lot of hearing difficulty, profoundly deaf. The relationship between HL and mortality risk was analyzed using Cox proportional hazards regression model. Results: Compared with the reference group (Good), those who had light or moderate hearing problems were at an increased risk of mortality for all causes (A little trouble-HR: 1.17; 95% confidence interval [CI]: 1.13 to 1.20; A lot of trouble-HR: 1.45; 95% CI: 1.40-1.51); deaf-HR: 1.54; 95% CI: 1.38-1.73) respectively. Conclusion: In addition, those in the deaf category have the highest risk of death from all causes and cause-specific cancer. More older adults are associated with an increased risk of all-cause mortality in American adults.

To study prevalence of chronic bronchitis (CB) in residential populations and its relationship with mortality in a 50-year follow-up.
In the late 1950\'s-early 1960\'s, 7047 men aged 40-59 years were enrolled in 10 European cohorts of the Seven Countries Study (in Finland, the Netherlands, Italy, Serbia and Greece). After baseline examination, follow-up for mortality was extended during 50 years (45 year in the Serbian cohorts). Prevalence of CB, and 50-year mortality from CB and other major causes of death were used as end-points to identify their determinants using multivariate models.
Prevalence of CB was directly associated with smoking habits and inversely associated with high socio-economic status (SES), forced expiratory volume in ¾ sec (FEV) and the ratio FEV/vital capacity (VC). Fifty-year mortality from CB was directly predicted by CB prevalence (from a minimum hazard ratio [HR] 2.35, 95% confidence limits [CI] 1.70-3.24, to a maximum HR 3.01, CI 2.18-5.20, depending on diagnostic criteria and different models) and age, and inversely by high SES, FEV and FEV/VC. The same applied in models predicting mortality from coronary heart disease (HR for prevalent CB: 1.53, CI 1.24-1.88), major cardiovascular diseases (HR 1.43, CI 1.23-1.67) and all-cause mortality (HR 1.48, CI 1.34-1.64) all adjusted for age, high SES, smoking habits and FEV.
CB is strongly associated with major cardiovascular disease and all-cause mortality while FEV and FEV/VC seem to carry at least partly an independent role from CB in predicting long-term mortality.

The objective of the study was to assess the frequency and factors associated with all-cause 30-day readmission among patients hospitalized with generalized convulsive status epilepticus (GCSE) in a nationwide sample in the United States.
We used The 2014 Nationwide Readmission Database (NRD) as the data source. We included adults (age ≥18 years) with a primary discharge diagnosis of GCSE, identified using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code 345.3. We excluded patients who died during hospitalization and those who had missing information on the length of stay (LOS). We also excluded those discharged in December 2014. We computed the overall 30-day readmission rate and compared prespecified groups by their 30-day readmission status. We applied a multiple logistic regression analysis to identify independent predictors of all-cause 30-day readmission adjusting for potential confounders.
Among 14,562 (weighted 31,062) adults discharged with a diagnosis of GCSE, 2520 (17.3%) were readmitted within 30 days. In multivariate analysis, patients with comorbid conditions (odds ratio (OR) for Charlson Comorbidities Index (CCI) = 1 and ≥2 was 1.12, 95% confidence interval (CI): 1.0-1.36 and 1.32, 95% CI: 1.17-1.48, respectively), LOS >6 days (OR: 1.42; 95% CI: 1.05-192), discharged against medical advice (OR: 1.45; 95% CI: 1.09-1.92), or discharged to a short-term hospital (OR: 1.39; 95% CI: 1.0-1.88), had higher odds of 30-day readmission, while there was an inverse association for those aged ≥45 years or with high income. Seizures were the most common cause associated with readmission, followed by sepsis and cerebrovascular diseases, respectively.
Little is known about the frequency and predictors of early readmission after GCSE. This study showed that more than one in six patients with GCSE was readmitted within 30 days after discharge. More considerable attention to high-risk subgroups may identify opportunities to ameliorate the clinical outcome and lessen the economic burden of early readmission after GCSE.

Objective: The relationship between diabetes and all- and cause-specific mortality in individuals with common cancers (breast, colorectal, and prostate) remains both under-researched and poorly understood. Methods: Cancer survivors (N = 37,993) from the National Health Interview Survey with linked data retrieved from the National Death Index served as our study participants. Cox proportional-hazards models were used to assess associations between pre- and post-diabetes and all-cause and cause-specific mortality. Results: Over a median follow-up period of 13 years, 2,350 all-cause, 698 cancer, and 506 CVD deaths occurred. Among all cancer survivors, patients with diabetes had greater risk of: all-cause mortality [hazard ratio (HR) 1.35, 95% CI = 1.27-1.43], cancer-specific mortality (HR: 1.14, 95% CI = 1.03-1.27), CVD mortality (HR: 1.36, 95% CI = 1.18-1.55), diabetes related mortality (HR: 17.18, 95% CI = 11.51-25.64), and kidney disease mortality (HR: 2.51, 95% CI = 1.65-3.82), compared with individuals without diabetes. The risk of all-cause mortality was also higher amongst those with diabetes and specific types of cancer: breast cancer (HR: 1.28, 95% CI = 1.12-1.48), prostate cancer (HR: 1.20, 95% CI = 1.03-1.39), and colorectal cancer (HR: 1.29, 95% CI = 1.10-1.50). Diabetes increased the risk of cancer-specific mortality among colorectal cancer survivors (HR: 1.36, 95% CI = 1.04-1.78) compared to those without diabetes. Diabetes was associated with higher risk of diabetes-related mortality when compared to non-diabetic breast (HR: 9.20, 95% CI = 3.60-23.53), prostate (HR: 18.36, 95% CI = 6.01-56.11), and colorectal cancer survivors (HR: 12.18, 95% CI = 4.17-35.58). Both pre- and post-diagnosis diabetes increased the risk of all-cause mortality among all cancer survivors. Cancer survivors with diabetes had similar risk of all-cause and CVD mortality during the second 5 years of diabetes and above 10 years of diabetes as compared to non-diabetic patients. Conclusions: Diabetes increased the risk of all-cause mortality among breast, prostate, and colorectal cancer survivors, not for pre- or post-diagnosis diabetes. Greater attention on diabetes management is warranted in cancer survivors with diabetes.