Prevalence of metabolic syndrome and associated factors in women aged 35 to 65 years who were enrolled in a family health program in Brazil

Sociodemographic and reproductive risk factors associated with metabolic syndrome in a population of Brazilian women from the city of Ribeirão Preto: a cross-sectional study

Objective

To identify sociodemographic and reproductive risk factors associated with MetS in women in their fourth decade of life.

Methods

Cohort study conducted on women born from June 1978 to May 1979 in Ribeirão Preto, Brazil. Sociodemographic, clinical, and obstetric data were collected by interview and clinical evaluation. Univariable and multivariable binomial logistic regression models were constructed to identify the risk factors of metabolic syndrome and the adjusted relative risk (RR) was calculated.

Results

The cohort included 916 women, and 286 (31.2%) of them have metabolic syndrome. MetS was associated with lack of paid work (RR 1.49; 95% CI 1.14-1.95), marital status of without a partner (RR 1.33; 95% CI 1.03-1.72), low educational level (less than 8 years of schooling [RR 1.72; 95% CI 1.23-2.41], 8 to 12 years of schooling [RR 1.37; 95% CI 1.06-1.76], when compared with more than 12 years of schooling), and teenage pregnancy (RR 2.00; 95% CI 1.45-2.77). There was no association between MetS, and the other covariates studied.

Conclusion

Metabolic syndrome in a population of women in the fourth decade of life was associated with lack of employment, lack of a partner, low educational level, and teenage pregnancy.

Socioeconomic status and metabolic syndrome in Southwest Iran: results from Hoveyzeh Cohort Study (HCS)

BACKGROUND

Socioeconomic status (SES) strongly predicts morbidity and premature mortality, especially for non-communicable diseases (NCDs). However, the effect of these factors on Metabolic Syndrome (MetS) is not clear yet. This study was conducted to assess the relationship between socioeconomic indicators and MetS.

METHODS

In this prospective cohort study, 10,009 people aged 35-70 enrolled from May 2016 to August 2018. The MetS was defined according to The Standard National Cholesterol Education Program (NCEP)-adult treatment panel III (ATP III) or NCEP-ATP III criteria. Demographics and socioeconomic data were gathered face-to-face through trained interviews. Also, lab, anthropometrics, and blood pressure measurements were assayed for participants. Logistic regression was used to estimate the association between SES and MetS, adjusted for the potential confounding factors.

RESULTS

The overall prevalence of MetS in the participants was 39.1%. The crude odds ratios were statistically significant for all the assessed variables (p < 0.05). After adjustment for age, sex, physical activity, smoking, and alcohol use as potential confounders, the results indicated significant direct independent associations between skill level (p = 0.006) and Townsend index (p = 0.002) with MetS. In contrast, no significant associations between educational level and wealth status with MetS.

CONCLUSION

The results of our study showed that SES is related to MetS. Among the four assessed SES indicators, skilled levels and Townsend score are strongly associated with MetS. We recommend considering people's SES when interventional programs are planned and conducted on MetS in similar communities.

Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review

Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta-analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF-alpha, IL-1, IL-6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non-cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS-2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta-analysis showed OR for hyperuricemia of 2.94 (age-/sex-adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications.

Accidental falls in middle-aged women

OBJECTIVE

To estimate the prevalence of accidental falls in women and to identify possible associations of sociodemographic, clinical and lifestyle variables with falls, in 2007 and 2014.

METHODS

Two cross-sectional studies were performed, in 2007 and 2014, within the Projeto de Saúde de Pindamonhangaba (PROSAPIN – Pindamonhangaba Health Project), with women aged between 35 to 75 years. Probabilistic samples were selected among women living in the municipality and participating in the Health Family Strategy. Data collection included: face-to-face interview, anthropometric examination and blood test. The outcome variable “have you fallen in the last six months?” was raised during the interview. The prevalence of falls in 2007 and 2014 were estimated by score with a 95% confidence interval (95%CI). Multiple logistic regression models were constructed to identify the association of independent variables with the occurrence of falls for each year based on the odds ratio (OR). We used the Stata 14.0 software for statistical analysis.

RESULTS

The prevalence of accidental falls were: 17.6% (95%CI 14.9–20.5) in 2007 and 17.2% (95%CI 14.8–19.8) in 2014. In 2007, factors associated with falls were: aged 50–64 years (OR = 1.81; 95%CI 1.17–2.80), high school (OR = 1.76; 95%CI 1.06–2.93), hyperuricemia (OR = 3.74; 95%CI 2.17–6.44), depression (OR = 2.07; 95%CI 1.31–3.27), poor sleep (OR = 1.78; 95%CI 1.12–2.82) and daytime sleepiness (OR = 1.86; 95%CI 1.16–2.99). In 2014, they were: aged 50–64 years (OR = 1.64; 95%CI 1.04–2.58), hyperuricemia (OR = 1.91; 95%CI 1.07–3.43) and depression (OR = 1.56; 95%CI 1.02–2.38), plus metabolic syndrome (OR = 1.60; 95%CI 1.03–2.47) and musculoskeletal pain (OR = 1.81; 95%CI 1.03–3.18).

CONCLUSIONS

Falls occur significantly in women aged 50 years or over, indicating that they are not restricted to older adults and that there is a need to initiate preventive measures earlier. Both studies showed similar magnitudes of occurrence of accidental falls and reinforced their multifactorial nature. In addition, hyperuricemia may be a potential new factor associated with falls.

Prevalence of hot flashes in women of 40 to 65 years of age with metabolic syndrome

SUMMARY OBJECTIVE: Hot flashes have a negative impact on the quality of life of women during the menopausal transition and thereafter. The progressive reduction in gonadal estrogen levels associated with aging promotes an accumulation of abdominal fat, dyslipidemia, and arterial hypertension, all of which are components of metabolic syndrome (MetS). The objective of the present study was to estimate the prevalence of hot flashes and evaluate their relationship with MetS in women ≥ 40 years of age. METHODS: This was a cross-sectional study involving women aged between 40 and 65 years. We used the Kupperman index to quantify the climacteric symptoms and the National Cholesterol Education Program Adult Treatment Panel III criteria for the diagnosis of MetS. RESULTS: 1,435 women were initially selected, and we obtained information from 647. The mean age at menopause was 45.99 years (SD 6.61 years) and the prevalence of hot flashes and MetS were 55.83% (95% CI: 52.35-59.25%) and 46.29% (95% CI: 44.75-52.53%), respectively. We identified a positive association between MetS and hot flashes (OR 1.16; 95% CI: 1.01-1.33). CONCLUSIONS: In women ≥ 40 years of age, hot flashes are highly prevalent and appear to be associated with MetS.

Metabolic syndrome (MetS) and associated factors in middle-aged women: a cross-sectional study in Northeast Brazil

We determined the prevalence of Metabolic Syndrome (MetS) and associated factors in 419 women (aged 40 to 65 years) in Northeast Brazil in a cross-sectional study conducted from April to November 2013. We defined MetS using the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria. Socio-demographic variables, reproductive factors, lifestyle factors, anthropometrics, body composition, quality of life, and physical performance were assessed for their associations. We constructed multivariate Poisson regression models to estimate prevalence rate ratios (PRR) and 95% confidence intervals (CI). We identified 275 (65.6%) cases of MetS. The three most prevalent indicators were obesity (73.5%), reduced high-density lipoprotein level (63.0%), and elevated blood pressure (60.9%). In the final adjusted model, black race (PR 1.30, 95% CI: 1.07-1.57), lower grip strength/body mass index (PR 1.31, 95% CI: 1.15-1.50), and low estradiol levels (PR 1.17, 95% CI: 1.00-1.35) were associated with MetS. MetS is a long-term threat to the health of middle-aged women and a potential public health burden. These results may help in developing health promotion strategies to prevent morbidity and mortality associated with MetS in this vulnerable population.

Chronic joint pain and handgrip strength correlates with osteoporosis in mid-life women: a Singaporean cohort

This study aimed to identify novel correlates which may relate to low bone mass at lumbar spine in mid-life Asian women. The possibility of developing a prediction model for osteoporosis (OP) was explored which resulted in a risk assessment tool that performed better than currently available tools.

INTRODUCTION

In order to identify novel correlates associated with low spinal bone mineral density (BMD) in mid-life women, we examined a large number of lifestyle and medical and performance measurements and developed a prediction model for triage to BMD scanning.

METHODS

Women (n = 512) aged 45-69 years (mean 57.0 ± 6.3) attending gynecology clinics for "well woman" visits were recruited for this cross-sectional study from 2014 to 2015. We assessed symptoms, medical history, anthropometry, and physical performance. Stepwise multinomial logistic regressions were performed to examine significant associated covariates for pre-specified outcomes (normal [T-score ≥ -1.0], low bone mass [T-score between -1 and -2.5], and OP [T-score ≤ -2.5] at the lumbar spine). A new screening model was developed, and its performance was compared with the OP Screening Tool for Asians (OSTA) and Fracture Risk Assessment Tool (FRAX®).

RESULTS

Spinal OP was found in 6.8%. Multivariate analysis indicated that chronic joint pain, the most common symptom reported by 37.5% of the women, was significantly associated with OP. Only age (Relative Risk Ratio [RRR] 1.63; 95%CI, 1.03-2.60), weight (RRR 0.14; 95% CI, 0.07-0.27), postmenopausal status (RRR 11.59, 95%CI, 1.15-116.73), chronic joint pain (RRR, 4.12; 95% CI, 1.53-11.07), and right handgrip strength (RRR 0.50; 95% CI, 0.31-0.80) were independently associated with spinal OP. Combining these five variables, our final model's area under curve (AUC) was significantly higher at 84% than both the OSTA [AUC; 79% (p value < 0.0231 'c' statistics)] and FRAX® [AUC 58% (p value < 0.0001 'c' statistic)].

CONCLUSION

A novel screening tool that combines age, weight, and menopausal status with chronic joint pain and right handgrip strength more reliably predicts spinal OP in mid-life Singaporean women.

Prevalence of Chronic Kidney Disease in Turkish Adults With Obesity and Metabolic Syndrome: A Post Hoc Analysis from Chronic Renal Disease in Turkey Study

BACKGROUND

Obesity confers an increased risk of chronic kidney disease (CKD), which is increased further by accompanying metabolic abnormalities.

OBJECTIVE

To investigate the relationship of the risk of CKD with obesity and metabolic syndrome (MS) in adults by means of post hoc analysis of data from the Chronic Renal Disease in Turkey (CREDIT) study.

METHODS

The anthropometric measurements of a total of 9,100 adult participants in the CREDIT study were included in the analyses. Subjects were classified according to the presence or absence of obesity (body mass index [BMI] > 30) and MS. Logistic regression analyses were used to estimate odds ratio for CKD. Effect modification analyses were also performed.

RESULTS

The prevalence of obesity was 20.6% and that of MS was 31.3%. The prevalence of CKD was higher among obese subjects compared to those with a normal BMI (20.5% vs. 14%; P < .001). The odds ratio (OR) for CKD was 1.296 (95% confidence interval [CI], 1.121-1.498) for subjects who were overweight, 1.718 (95% CI, 1.444-2.044) for those with class I obesity, 1.983 (95% CI, 1.489-2.641) for those with class II obesity and 2.799 (95% CI, 1.719-4.557) for subjects with extreme obesity (P < .001 for each subgroup) compared to subjects with a normal BMI. CKD was significantly more prevalent in subjects with MS (21.9% vs. 12.3%, P < .001). The OR for CKD was higher in obese subjects with MS (adjusted OR, 1.321; 95% CI, 1.109-1.573; P = .002).

CONCLUSION

The stratification of obese individuals based on their metabolic phenotype is important for prevention and treatment of CKD.

Clinical consequences and economic costs of untreated obstructive sleep apnea syndrome

Objective

To provide an overview of the healthcare and societal consequences and costs of untreated obstructive sleep apnea syndrome.

Data sources

PubMed database for English-language studies with no start date restrictions and with an end date of September 2014.

Methods

A comprehensive literature review was performed to identify all studies that discussed the physiologic, clinical and societal consequences of obstructive sleep apnea syndrome as well as the costs associated with these consequences. There were 106 studies that formed the basis of this analysis.

Conclusions

Undiagnosed and untreated obstructive sleep apnea syndrome can lead to abnormal physiology that can have serious implications including increased cardiovascular disease, stroke, metabolic disease, excessive daytime sleepiness, work-place errors, traffic accidents and death. These consequences result in significant economic burden. Both, the health and societal consequences and their costs can be decreased with identification and treatment of sleep apnea.

Implications for practice

Treatment of obstructive sleep apnea syndrome, despite its consequences, is limited by lack of diagnosis, poor patient acceptance, lack of access to effective therapies, and lack of a variety of effective therapies. Newer modes of therapy that are effective, cost efficient and more accepted by patients need to be developed.

Metabolic syndrome in premenopausal and postmenopausal women with type 2 diabetes: loss of protective effects of premenopausal status

Background

Diabetes is probably responsible for worsening of metabolic syndrome (MetS)components. The aim of the present study was to compare the components of MetS between premenopausal and postmenopausal women with type 2 diabetes (T2DM).

Method

In this cross sectional study, we studied 639 women with T2DM that were divided in pre-menopausal (n = 221) and post-menopausal (n = 418) group. They were selected from participants of a diabetes clinic and assessed for MetS and its components. All MetS components were evaluated to follow age and duration of diabetes adjusted according to the ATP III criteria.

Results

The mean ages of pre-menopausal and post-menopausal were 43.33 ± 0.47 and 60.35 ± 0.38 years, respectively. MetS was defined for 88.3% of total subjects (87.5% and 87.7% in pre-menopausal and post-menopausal women with T2DM respectively). Systolic blood pressure (SBP) and waist circumference (WC) were significantly higher in post-menopausal women with T2DM in comparison with pre-menopausal ones. There were no significant differences in triglyceride (T.G) level, diastolic blood pressure (DBP) and high density lipoprotein cholesterol (HDL-C) between the two groups. Myocardial infarction (MI) occurred in 1% total subjects (1.3% and 1.8%) in pre-menopausal and post-menopausal women with T2DM, respectively (p = 0.21).

Conclusion

Worsening of MetS and its components except for SBP and waist circumference has been shown in pre-menopausal women with T2DM similar to post-menopausal ones. The observed differences may be explained by increasing age. With respect to increasing of myocardial infarction in premenopausal subjects, we suggest that diabetes can abolish the protective effects of premenopausal status for MetS and MI.

Moderate physical activity level as a protective factor against metabolic syndrome in middle-aged and older women

AIMS AND OBJECTIVES

To investigate whether physical activity is a protective factor against metabolic syndrome in middle-aged and older women.

BACKGROUND

Socio-demographic and lifestyle behaviour factors contribute to metabolic syndrome. To minimise the risk of metabolic syndrome, several global guidelines recommend increasing physical activity level. However, only limited research has investigated the relationship between physical activity levels and metabolic syndrome in middle-aged and older women after adjusting for socio-demographic and lifestyle behaviour factors.

DESIGN

Cross-sectional design.

METHODS

A convenience sample of 326 middle-aged and older women was recruited. Metabolic syndrome was confirmed according to the National Cholesterol Education Program, Adult Treatment Panel III guidelines, and physical activity levels were measured by the International Physical Activity Questionnaire.

RESULTS

The sample had a mean age of 60·9 years, and the prevalence of metabolic syndrome was 43·3%. Postmenopausal women and women with low socioeconomic status (low-education background, without personal income and currently unemployed) had a significantly higher risk of developing metabolic syndrome. After adjusting for significant socio-demographic and lifestyle behaviour factors, the women with moderate or high physical activity levels had a significantly lower (OR = 0·10; OR = 0·11, p < 0·001) risk of metabolic syndrome and a lower risk for each specific component of metabolic syndrome, including elevated fasting plasma glucose (OR = 0·29; OR = 0·26, p = 0·009), elevated blood pressure (OR = 0·18; OR = 0·32, p = 0·029), elevated triglycerides (OR = 0·41; OR = 0·15, p = 0·001), reduced high-density lipoprotein (OR = 0·28; OR = 0·27, p = 0·004) and central obesity (OR = 0·31; OR = 0·22, p = 0·027).

CONCLUSIONS

After adjusting for socio-demographic and lifestyle behaviour factors, physical activity level was a significant protective factor against metabolic syndrome in middle-aged and older women. Higher physical activity levels (moderate or high physical activity level) reduced the risk of metabolic syndrome in middle-aged and older women.

RELEVANCE TO CLINICAL PRACTICE

Appropriate strategies should be developed to encourage middle-aged and older women across different socio-demographic backgrounds to engage in moderate or high levels of physical activity to reduce the risk of metabolic syndrome.

Obesity in CKD--what should nephrologists know?

Obesity, the epidemic of the 21st century, carries a markedly increased risk for comorbid complications, such as type 2 diabetes, cancer, hypertension, dyslipidemia, cardiovascular disease, and sleep apnea. In addition, obesity increases the risk for CKD and its progression to ESRD. Paradoxically, even morbid obesity associates with better outcomes in studies of ESRD patients on maintenance dialysis. Because the number of obese CKD and maintenance dialysis patients is projected to increase markedly in developed as well as low- and middle-income countries, obesity is a rapidly emerging problem for the international renal community. Targeting the obesity epidemic represents an unprecedented opportunity for health officials to ameliorate the current worldwide increase in CKD prevalence. Nephrologists need more information about assessing and managing obesity in the setting of CKD. Specifically, more precise estimation of regional fat distribution and the amount of muscle mass should be introduced into regular clinical practice to complement more commonly used practical markers, such as body mass index. Studies examining the effects of obesity on kidney disease progression and other clinical outcomes along with weight management strategies are much needed in this orphan area of research.