Effects of metabolic syndrome on the prevalence of prostate cancer: historical cohort study using the national health insurance service database

Effectiveness of a Nurse-Led Mobile-Based Health Coaching Program for Patients With Prostate Cancer at High Risk of Metabolic Syndrome: Randomized Waitlist Controlled Trial

BACKGROUND

Androgen deprivation therapy (ADT), a standard treatment for prostate cancer (PC), causes many physical side effects. In particular, it causes metabolic changes such as fasting glucose abnormalities or accumulation of body fat, and its continuation can lead to metabolic syndrome (MetS), which is closely related to diabetes and cardiovascular disease. Therefore, it is important to maintain and practice a healthy lifestyle in patients with PC.

OBJECTIVE

This study aims to evaluate the effectiveness of a nurse-led mobile-based program that aims to promote a healthy lifestyle in patients with PC undergoing ADT with MetS risk factors.

METHODS

This was a single-blind, randomized, waitlist control interventional study. A total of 48 patients were randomly assigned to the experimental and waitlist control groups at the urology cancer clinic of a tertiary general hospital in South Korea. The inclusion criteria were patients who had undergone ADT for >6 months, had at least 1 of the 5 MetS components in the abnormal range, and could access a mobile-based education program. The experimental group attended a 4-week mobile-based program on exercise and diet that included counseling and encouragement to maintain a healthy lifestyle, whereas the control group was placed on a waitlist and received usual care during the follow-up period, followed by the intervention. The primary outcome was a change in the lifestyle score. The secondary outcomes were changes in 5 MetS components, body composition, and health-related quality of life. The outcomes were measured at 6 weeks and 12 weeks after the initiation of the intervention. Each participant was assigned to each group in a sequential order of enrollment in a 4×4 permuted block design randomization table generated in the SAS (SAS Institute) statistical program. A linear mixed model was used for statistical analysis.

RESULTS

A total of 24 participants were randomly assigned to each group; however, 2 participants in the experimental group dropped out for personal reasons before starting the intervention. Finally, 46 participants were included in the intention-to-treat analysis. The experimental group showed more positive changes in the healthy lifestyle score (β=29.23; P≤.001), level of each MetS component (fasting blood sugar: β=-12.0; P=.05 and abdominal circumference: β=-2.49; P=.049), body composition (body weight: β=-1.52; P<.001 and BMI: β=-0.55; P<.001), and the urinary irritative and obstructive domain of health-related quality of life (β=14.63; P<.001) over time than the waitlist control group.

CONCLUSIONS

Lifestyle changes through nurse-led education can improve level of each MetS components, body composition, and ADT side effects. Nurses can induce positive changes in patients' lifestyles and improve the self-management of patients starting ADT through this program.

TRIAL REGISTRATION

Clinical Research Information Service KCT0006560; http://tinyurl.com/yhvj4vwh.

Association of metabolic syndrome and its components with the risk of urologic cancers: a prospective cohort study

OBJECTIVE

To investigate the association between metabolic syndrome (MetS) and its components and the risk of developing urologic cancers.

METHODS

This study included 101,510 observation subjects from May 2006 to December 2007. The subjects received questionnaires and were subjected to clinical and laboratory examinations to collect data on baseline population characteristics, waist circumference (WC), blood pressure (BP), blood glucose, blood lipids, lifestyle, and past disease history. Finally, follow-up was conducted from the date of recruitment to December 31, 2019. Cox proportional hazards modelling was applied to analyze the association between MetS and its components and the risk of developing urologic cancers.

RESULTS

A total of 97,975 observation subjects met the inclusion criteria. The cumulative follow-up period included 1,209,178.65 person-years, and the median follow-up time was 13.03 years. During the follow-up period, 485 cases of urologic cancers (165 cases of kidney cancer, 134 cases of prostate cancer, 158 cases of bladder cancer, and 28 cases of other urologic cancers) were diagnosed. The log-rank test results for the cumulative incidences of urologic cancer, kidney cancer, and prostate cancer indicated significant (P < 0.01) differences between the MetS and non-MetS groups (0.70% vs. 0.48%, 0.27% vs. 0.15%, and 0.22% vs. 0.13%, respectively). Compared to the non-MetS group, the risk of developing urologic [HR (95% CI) = 1.29 (1.08-1.55)], kidney [HR (95% CI) = 1.74 (1.28-2.37)], and prostate [HR (95% CI) = 1.47 (1.04-2.07)] cancers was significantly higher in the MetS group. In the MetS group, elevated BP increased the risk of developing of urologic cancer [HRs (95% CI) = 1.35 (1.10-1.66)] and kidney cancer [HR (95% CI) = 1.74 (1.21-2.51)], while central obesity increased the risk of developing prostate cancer [HR (95% CI) = 1.68 (1.18-2.40)].

CONCLUSIONS

MetS increased the risk of developing urologic, kidney, and prostate cancers but had no association with the development of bladder cancer.

Association between metabolic syndrome and gastric cancer risk: results from the Health Examinees Study

BACKGROUND

Previous studies suggested that metabolic syndrome (MetS) might create a pro-cancer environment and increase cancer incidence. However, evidence on the risk of gastric cancer (GC) was limited. This study aimed to evaluate the association between MetS and its components and GC in the Korean population.

METHODS

Included were 108,397 individuals who participated in the large-scale prospective cohort study, the Health Examinees-Gem study during 2004-2017. The multivariable Cox proportional was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) on the association between MetS and its components with GC risk. Age was used as the time scale in the analyses. The stratified analysis was performed to determine the joint effect of lifestyle factors and MetS on GC risk in different groups.

RESULTS

During the mean follow-up of 9.1 years, 759 cases of newly diagnosed cancer (408 men and 351 women) were identified. Overall, participants with MetS had a 26% increased risk of GC than those without MetS (HR 1.26; 95% CI 1.07-1.47); the risk increased with the number of MetS components (p for trend 0.01). Hypertriglyceridemia, low HDL-cholesterol, and hyperglycemia were independently associated with the risk of GC. The potential joint effect of MetS and current smokers (p for interaction 0.02) and obesity (BMI ≥ 25.0) (p for interaction 0.03) in GC.

CONCLUSIONS

In this prospective cohort study, we found that MetS were associated with an increased risk of GC in the Korean population. Our findings suggest that MetS may be a potentially modifiable risk factor for GC risk.

Evaluation and Treatment of Obesity and Its Comorbidities: 2022 Update of Clinical Practice Guidelines for Obesity by the Korean Society for the Study of Obesity

The goal of the 8th edition of the Clinical Practice Guidelines for Obesity is to help primary care physician provide safe, effective care to patients with obesity by offering evidence-based recommendations to improve the quality of treatment. The Committee for Clinical Practice Guidelines comprised individuals with multidisciplinary expertise in obesity management. A steering board of seven experts oversaw the entire project. Recommendations were developed as the answers to key questions formulated in patient/problem, intervention, comparison, outcomes (PICO) format. Guidelines underwent multi-level review and cross-checking and received endorsement from relevant scientific societies. This edition of the guidelines includes criteria for diagnosing obesity, abdominal obesity, and metabolic syndrome; evaluation of obesity and its complications; weight loss goals; and treatment options such as diet, exercise, behavioral therapy, pharmacotherapy, and bariatric and metabolic surgery for Korean people with obesity. Compared to the previous edition of the guidelines, the current edition includes five new topics to keep up with the constantly evolving field of obesity: diagnosis of obesity, obesity in women, obesity in patients with mental illness, weight maintenance after weight loss, and the use of information and communication technology-based interventions for obesity treatment. This edition of the guidelines features has improved organization, more clearly linking key questions in PICO format to recommendations and key references. We are confident that these new Clinical Practice Guidelines for Obesity will be a valuable resource for all healthcare professionals as they describe the most current and evidence-based treatment options for obesity in a well-organized format.

Association between atherogenic lipids and GnRH agonists for prostate cancer in men with T2DM: a nationwide, population-based cohort study in Sweden

BACKGROUND

Gonadotropin-releasing hormone agonists (GnRH) used in prostate cancer (PCa) are associated with atherogenic dyslipidaemia. It can be assumed that GnRH need to be used with greater caution in men with type 2 diabetes mellitus (T2DM). This study investigated association of GnRH with atherogenic lipids (AL) in PCa men with T2DM.

METHODS

Two cohorts including 38,311 men with 11 years follow-up based on Swedish national registers were defined (PCa-Exposure cohort and GnRH-Exposure cohort). Based on European guidelines on cardiovascular diseases (CVD), primary outcomes were defined as: 1.0 mmol/L increase in AL and lipid-lowering therapy (LLT) intensification. We used Cox proportional-hazards models and Kaplan-Meier curves to assess the association.

RESULTS

There was an association between GnRH and increased AL (i.e., triglyceride, PCa-Exposure cohort: HR 1.77, 95% CI 1.48-2.10; GnRH-Exposure cohort: HR 1.88, 95% CI 1.38-2.57). There was also an association between PCa diagnosis and increased AL. In contrast, no association between LLT intensification and GnRH was found.

CONCLUSION

In this large population-based study, men with T2DM on GnRH for PCa had an increased risk of increased atherogenic lipids. These results highlight the need to closely monitor lipids and to be ready to intensify lipid-lowering therapy in men with T2DM on GnRH for PCa.

Diabetes, metabolic syndrome and prostate cancer risk: Results from the EPICAP case-control study

BACKGROUND

Diabetes may be associated with decreased prostate cancer (PCa) risk. However, previous studies have not always accounted for time since diabetes diagnosis or antidiabetic drug use. Futhermore, the role of metabolic syndrome (MetS) in PCa risk is still debated. We investigated the role of diabetes and MetS in PCa risk based on data from the Epidemiological study of PCa (EPICAP).

METHODS

EPICAP is a population-based case-control study that included 819 incident PCa cases in 2012-2013 and 879 controls frequency matched by age. MetS was characterized according to National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III). Logistic regression models adjusted for age, family history of PCa and ethnicity, were used to assess odds ratios (ORs) and their 95%conficence intervals (CIs) for the associations between diabetes, MetS and PCa risk.

RESULTS

Whereas we did not observed an association between diabetes and PCa, a decreased risk of PCa has been highlighted with an increasing treated diabetes duration (p-trend=0.008). No association has been observed between MetS, the number of MetS criteria and the risk of PCa. However, we suggested that NSAIDs use could modify the association between MetS and PCa risk.

CONCLUSION

Our results suggest an inverse association between the duration of diabetes and PCa risk. The role of metabolic factors, such as MetS and its components, in PCa risk remains unclear and requires further investigations.

Association between life-style, metabolic syndrome and lower urinary tract symptoms and its impact on quality of life in men ≥ 40 years

We aimed to assess the relationship between lifestyle-related variables, metabolic syndrome, and lower urinary tract symptoms (LUTS) in men ≥ 40 years. We also assessed the impact of these variables on quality of life. From 2014 to 2020, 5355 men who underwent health check-ups with I-PSS questionnaires at our institute were included in the analysis. The impact of LUTS on sleep disorders and moderate to severe degrees of stress were assessed. Multivariate analysis was performed to determine the variables associated with LUTS and prostate volume. Moderate and severe LUTS were present in 1317 (24.6%) and 211 (3.9%) men, respectively. Moderate and severe LUTS were significantly associated with the presence of sleep disorders and stress. On multivariable analysis, age, amount of life-long smoking, marital status, income, job, and decreased HDL-cholesterol were associated with the presence of moderate to severe LUTS. Although older age and the amount of life-long smoking was associated with both voiding and storage sub-score, socioeconomic status, including marital status and income were only associated with storage sub-score. In men ≥ 40 years, stable socioeconomic status, in addition to older age, and life-long smoking amount are associated with the presence of moderate to severe LUTS, which worsens sleep quality and stress level, by worsen storage sub-score.

The metabolic syndrome is associated with the risk of urothelial carcinoma from a health examination database

PURPOSE

The metabolic syndrome was associated with bladder cancer in the previous studies. However, there have no large-scale cohort studies to elucidate the relationship between metabolic syndromes and urothelial carcinoma including urinary bladder urothelial carcinoma (UBUC) and upper tract urothelial carcinoma (UTUC).

METHODS

We analyze a population-based cohort study by using physical examination data and diagnosis of UC from the Taiwan Cancer Registry Database. Differences in demographic and clinical characteristics among UTUC and non-UTUC groups, UBUC and non-UBUC groups were compared. Odds ratios (ORs) for determining risk factors were estimated through the multiple logistic regression model.

RESULTS

A total of 557,063 records for 211,319 participants which consisted of 31 UTUC and 309 UBUC met the eligibility criteria in this study. Our results showed that female are more likely to develop UTUC than male. As opposed to UTUC, male are more likely to develop UBUC than female. It also showed that participants smoked or chewed betel quid daily are more likely to develop UBUC. Age and estimated glomerular filtration rate (eGFR) are significantly increased the risk of developing UTUC. The association between the eGFR and risk of UTUC is stronger (P < 0.001) for eGFR < 45 (vs. eGFR ≥ 75, OR = 6.795; 95% CI 2.901-15.917). Metabolic syndrome is related to higher risk of UBUC incidence [OR was 1.373 (95% CI 1.104-1.707)].

CONCLUSIONS

There was a significant relationship between the incidence of UBUC and metabolic syndrome. Renal function impairment presents higher risk in both UBUC and UTUC development.

PCaLiStDB: a lifestyle database for precision prevention of prostate cancer

The interaction between genes, lifestyles and environmental factors makes the genesis and progress of prostate cancer (PCa) very heterogeneous. Positive lifestyle is important to the prevention and controlling of PCa. To investigate the relationship between PCa and lifestyle at systems level, we established a PCa related lifestyle database (PCaLiStDB) and collected the PCa-related lifestyles including foods, nutrients, life habits and social and environmental factors as well as associated genes and physiological and biochemical indexes together with the disease phenotypes and drugs. Data format standardization was implemented for the future Lifestyle-Wide Association Studies of PCa (PCa_LWAS). Currently, 2290 single-factor lifestyles and 856 joint effects of two or more lifestyles were collected. Among these, 394 are protective factors, 556 are risk factors, 45 are no-influencing factors, 52 are factors with contradictory views and 1977 factors are lacking effective literatures support. PCaLiStDB is expected to facilitate the prevention and control of PCa, as well as the promotion of mechanistic study of lifestyles on PCa. Database URL: http://www.sysbio.org.cn/pcalistdb/.