Bushehr Elderly Health Research Articles

Visceral Adiposity and Lipid Accumulation Product Indices as Valuable Predictors of Metabolic Syndrome in the Elderly: Bushehr Elderly Health (BEH) Program

Metabolic Syndrome (MetS) encompasses a cluster of cardiometabolic risk factors and plays a significant role in elderly patients long-term complications

Relationship Between Neck Circumference and Risk Factors of Metabolic Syndrome in a Bushehr Elderly Health Study.

Metabolic syndrome includes a set of metabolic disorders such as obesity, high blood pressure, hypertriglyceridemia, lipid disorders, and glucose intolerance. In this cross-sectional (descriptive-analytical) study, 2,426 people were selected from the 60 years old and above population of Bushehr for a second-phase investigation of the relationship between neck circumference (NC) and cardiometabolic risk factors in the elderly people. The data (mean and standard deviation) were analyzed using STATA MP Version 15 software. The results of the study showed that the average age of all elderly participants in the study was 69.34 ± 6.39 years. The mean and standard deviation of the NC index in men, women, and all participants were 39.31 ± 2.89, 34.86 ± 2.84, and 37.00 ± 3.62, respectively. The mean and standard deviation of most laboratory indicators (triglyceride [TG], total cholesterol [TC], low-density lipoprotein [LDL], high-density lipoprotein [HDL]) were significantly higher in women, and there was no significant difference in fasting blood glucose (FBG) between men and women. NC index in the total population was significantly associated with all risk factors of metabolic syndrome (body mass index, systolic blood pressure, diastolic blood pressure) and laboratory indicators (FBG, TG, TC, LDLC, and HDL). The present study shows that the NC index can be a good predictor for the diagnosis of metabolic syndrome and visceral adipose tissue in the elderly.

The Association of Cardiovascular Diseases Risk Scores and Osteosarcopenia Among Older Adult Populations: The Results of Bushehr Elderly Health (BEH) Program.

Considering the association of cardiovascular disease (CVD) with both osteoporosis and sarcopenia, this study aimed to explore the association between a newly developed CVD risk score and osteosarcopenia in the elderly population. Participants in the second phase of the Bushehr Elderly Health (BEH) program were included. Osteosarcopenia was defined as having both osteopenia/osteoporosis and sarcopenia. The 10-year CVD risk score was estimated using the WHO lab-based model. The participants were considered as high-risk if the CVD risk was ≥ 20%. The estimated risks were compared in individuals with and without osteosarcopenia. The association of CVD risk and osteosarcopenia was investigated using a logistic regression model, adjusted by potential confounders. In all, 2392 participants (1161 men) with a mean age of 69.3 (± 6.3) years were studied and 532 [242 (45.5%) men] individuals were diagnosed with osteosarcopenia. The median (IQR) CVD risks were 0.340 (0.214) and 0.229 (0.128) in men with and without osteosarcopenia, respectively (P < 0.001); In women, the corresponding values were 0.260 (0.147) and 0.207 (0.128), respectively (P < 0.001). Adjusted by confounders, CVD risk ≥ 20% in women, increased the odds of osteosarcopenia by 72%. Body mass index showed an inverse association with osteosarcopenia in both men (0.81, 95%CI: 0.78-0.85) and women (0.66, 95%CI: 0.62-0.70). Considering the area undertheROCcurve,the models showed adiscriminative ability of 82% in men and 89% in women. This study displayed a significant association between WHO CVD risk score and osteosarcopenia. Due to the difficult diagnosis of osteosarcopenia, the high association of cardiovascular risk score with this disease can help identify high-risk individuals and refer them for further diagnostic procedures. Considering the high prevalence of osteosarcopenia and its complications in the older population, comprehensive strategies are needed to find high-risk populations.

The association of opioid consumption and osteoporosis in old men: Bushehr Elderly Health (BEH) program.

Limited evidence suggest a relationship between opioid consumption and osteoporosis. This study aims to investigate the possible association of osteoporosis and drug use among older adult men of Bushehr, Iran. In this study, 1156 men aged ≥ 60years of Bushehr Elderly Health (BEH) were included. Bone density and trabecular bone score (TBS) were measured using dual-energy X-ray absorptiometry. Total osteoporosis was noted based on osteoporosis at either site of the lumbar spine, femoral neck, and total hip densitometry. Drug use was defined as a self-reported current use of opioid drugs, either regular (daily) use or irregular consumption. Multivariable modified Poisson regression analysis was used for investigating the association of opioids and osteoporosis, reporting the adjusted prevalence ratio (APR) with 95% confidence interval (CI). The association between drug use and TBS was evaluated using a linear regression model. Opioid drug use was reported by 4.1% (n = 47) of participants. Among drug users, opium was the most prevalent consuming drug (83%). In all, 38.3% of drug users and 22.4% of non-users had osteoporosis (p-value = 0.011). Multivariable analysis showed that adjusting by age, education, smoking, alcohol consumption, body mass index, diabetes, and physical activity, a positive and significant association was detected between opioid drug use and the likelihood of osteoporosis (APR: 1.46, 95%CI: 1.02-2.10). Considering the potential confounders, the results also showed a negative association between drug consumption and TBS (β: - 0.027, 95%CI: - 0.053, - 0.001). Opioid drug use has a positive association with osteoporosis in elderly men, independent of other conventional risk factors. Elderly drug users might be at a higher risk for osteoporotic fractures, given the effect of substance use on cognition. So, osteoporosis among drug users would be of importance, especially in countries where opium consumption is prevalent.

Evaluation of the performance of osteoporosis/fracture screening models to identify high-risk women for osteoporosis: Bushehr elderly health (BEH) program.

This study aimed to evaluate the performance of valid risk assessment models developed for osteoporosis/ fracture screening to identify women in need of bone density measurement in a population of Iranian elderly women. This study was performed using the data of Bushehr Elderly Health (BEH) program, a population-based cohort study of elderly population aged ≥ 60 years. Seven osteoporosis risk assessment tools, including Osteoporosis Risk Assessment Instrument (ORAI), Malaysian Osteoporosis Screening Tool (MOST), Osteoporosis Prescreening Risk Assessment (OPERA), Osteoporosis Prescreening Model for Iranian Postmenopausal women (OPMIP), Osteoporosis Index of Risk (OSIRIS), and Osteoporosis Self-Assessment Tool for Asians (OSTA), as well as Fracture Risk Assessment Tool (FRAX) were included in the study. By using osteoporosis definition based on BMD results, the performance measurement criteria of diagnostic tests such as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Youden index for each model were calculated and the models were compared. A total of 1237 female participants with the mean age of 69.1 ± 6.3 years were included. Overall, 733 (59%) participants had osteoporosis, and about 80% had no history of fracture. The sensitivity of the seven models ranged from 16.7% (OSIRIS) to 100% (ORAI and MOST) at their recommended cut-off points. Moreover,their specificity ranged from 0.0% (ORAI and MOST) to 78.9% (OSTA). The FRAX and OPERA had the optimal performance with the Youden index of 0.237 and 0.226, respectively. Moreover, after combining these models, the sensitivity of them increased to 85.4%. We found that the FRAX (model with 11 simple variables) and OPERA (model with 5 simple variables) had the best performance. By combining the models, the performance of each was improved. Further studies are needed to adopt the model and to find the best cut-off point in the Iranian postmenopausal women.

Multivariate and Gene-Based Association Testing of Sarcopenia: Bushehr Elderly Health Program (BEH)

Introduction: There is a strong correlation between the skeletal muscle mass index (SMI) and handgrip strength as indicators of sarcopenias. Multivariate methods can be exploited statistical power in determining the association between these correlated heritable indicators.&#x0D; Methods: We conducted a multivariate candidate-gene study based on data collected from the ongoing Bushehr Elderly Health (BEH) cohort, which evaluated the prevalence of musculoskeletal disorders in 2772 Iranians over 60 years old with 663377 single nucleotide polymorphisms (SNPs). We chose genetic variants on IL10 (chromosome 1: 206940947, 206945839), a strongly associated gene known to cause muscle diseases, as candidate regions, which included 27 independent SNPs with LD&lt;0.4 (MAF&gt;0.01 and p-valuehwe &gt;0.05). MultiPhen uses a linear combination of genotypes, including SMI and handgrip, to obtain stronger statistical power. To outperform and confirm the MultiPhen results, it combined with a summary statistics level genebased association test, GATES.&#x0D; Results: Among the participants, 1138 men (48%) and 1205 women (52%) aged 69.2±6.35 and 69.56±6.45, were present respectively. 27 SNPs with a maximum MAF of 0.488 and a minimum of 0.0098, p-value hwe=0.3 were selected on Interleukin 10 (IL10). In the joint model MultiPhen test, 3 intronic variants (rs11119603, rs3950619, rs57461190) were associated with IL10 with effect sizes between 0.178 and 0.883 (p-value&lt;0.05). We used the GATES model to assess the multivariate aggregated effect of IL10 on the phenotypes. Using this method, the gene's effect was significant (0.046), showing that it is a risk gene for sarcopenia.&#x0D; Conclusion: This study examined the association of handgrip, SMI, with IL10, as demonstrated in previous studies as risk factors for muscular diseases, using multivariate methods that utilized a joint model to achieve a high level of statistical power.

Association of amino acid metabolites with osteoporosis, a metabolomic approach: Bushehr elderly health program

Amino acids are the most frequently reported metabolites associated with low bone mineral density (BMD) in metabolomics studies. We aimed to evaluate the association between amino acid metabolic profile and bone indices in the elderly population. 400 individuals were randomly selected from 2384 elderly men and women over 60years participating in the second stage of the Bushehr elderly health (BEH) program, a population-based prospective cohort study that is being conducted in Bushehr, a southern province of Iran. Frozen plasma samples were used to measure 29 amino acid and derivatives metabolites using the UPLC-MS/MS-based targeted metabolomics platform. We conducted Elastic net regression analysis to detect the metabolites associated with BMD of different sites and lumbar spine trabecular bone score, and also to examine the ability of the measured metabolites to differentiate osteoporosis. We adjusted the analysis for possible confounders (age, BMI, diabetes, smoking, physical activity, vitamin D level, and sex). Valine, leucine, isoleucine, and alanine in women and tryptophan in men were the most important amino acids inversely associated with osteoporosis (OR range from 0.77 to 0.89). Sarcosine, followed by tyrosine, asparagine, alpha aminobutyric acid, and ADMA in women and glutamine in men and when both women and men were considered together were the most discriminating amino acids detected in individuals with osteoporosis (OR range from 1.15 to 1.31). We found several amino acid metabolites associated with possible bone status in elderly individuals. Further studies are required to evaluate the utility of these metabolites as clinical biomarkers for osteoporosis prediction and their effect on bone health as dietary supplements.

Bone mass and microarchitecturein T2DMpatientsand corticosteroids therapy:the Bushehr Elderly Health program.

Our study examined whether T2DM and glucocorticoids treatment affect bone quality and quantity that are measured by Bone Mineral Density (BMD) and Trabecular Bone Score (TBS). Participants in this study were 2294 women and men aged over 60years who participated in stage II of the Bushehr Elderly Health (BEH) program. Patients with T2DM and those who received glucocorticoids were included. BMD was detected using the DXA method and the TBS of L1-L4 was evaluated by TBS iNsight® software. To evaluate the correlation between TBS and BMD levels with diabetes and taking corticosteroids sex-specific multivariable linear regression models were appplied. TBS and BMD were not significantly different in those who had received glucocorticoids versus those who did not.T2DM revealed a significant association with both BMD and TBS in men (beta = 0.12, p < 0.001 and beta = 0.063, p = 0.03, respectively). BMD values were significantly higher in diabetic women (beta = 0.073, p < 0.01). BMI had a significant association with both TBS and BMD but in an opposite direction, in women and men (BMD: beta = -0.22, -0.24, and regarding TBS: beta = 0.37, 0.25, all p-values < 0.001). Our findings showed that T2DM had major effects on BMD in both men and women. However, T2DM only affects TBS in men. Furthermore, neither BMD nor TBS were affected by GC intake in men or women.Based on the variable importance of covariates, BMI was the most influential factor on both BMD and TBS, although in opposite directions, in both sexes.

Association between platelet, white blood cell count, platelet to white blood cell ratio and sarcopenia in community-dwelling older adults: focus on Bushehr Elderly Health (BEH) program

BackgroundSarcopenia is a progressive age-related skeletal muscle disorder associated with harmful impacts on health. The present study aimed to investigate the relation between sarcopenia, platelet (PLT), white blood cell (WBC), and PLT to WBC ratio (PWR) due to the importance of early sarcopenia diagnosis.MethodsThis cross-sectional study was conducted based on the second stage of the Bushehr Elderly Health (BEH) Program. Sarcopenia was defined based on the revised edition of the European Working Group on Sarcopenia in Older People (EWGSOP2) in accordance with the Iranian cut-off point. Univariate and adjusted multivariate logistic regression and linear regression were used to evaluate the associations.ResultsThe prevalence of sarcopenia among participants was 35.73%. PLT count and PWR were statistically higher in severe sarcopenic participants, while no differences were seen in WBC. In crude analysis, sarcopenia was not associated with quartiles of PLT, WBC, and PWR, while after adjusting for age, marital status, and sex, the association was seen in the fourth quartile of PLT and PWR [OR (95%CI) = 1.40 (1.08 to 1.81), p-value = 0.009 for PLT; OR (95%CI) =1.55 (1.20 to 2.00), p-value =0.001 for PWR]. This association remained significant in the fully adjusted model [OR (95%CI) =1.82 (1.20 to 2.78), p-value =0.005 for PLT; OR (95%CI) =1.57 (1.03 to 2.40), p-value =0.035 for PWR]. Among sarcopenia parameters, PLT count was more likely to be associated with handgrip strength and muscle mass. After stratifying the participants by gender, sarcopenia parameters were no longer statistically significant in men.ConclusionThis study showed that PLT and PWR were associated with sarcopenia after considering confounding factors, while this association was not seen in WBC. Moreover, results showed that gender had an important impact on sarcopenia parameters.

Evaluation of different anthropometric indices and association with metabolic syndrome in community-dwelling older adults: Bushehr Elderly Health (BEH) program

This study was conducted to evaluate the usefulness of different anthropometric indices and to determine optimal cut-off points for the identification of metabolic syndrome (MetS) in community-dwelling older adults. Our investigation performed within the framework of Bushehr Elderly Health (BEH) Program as a prospective population-based cohort study on a representative sample of the older adults (≥60 years) in the urban population of Bushehr (the south of Iran). Adjusted relative risk (RR) and 95% confidence interval (95% CI) of the anthropometric indices in association with MetS were calculated. Age, sex, education, smoking habits, and physical activity were used as confounders for multivariate analysis. Additionally, areas under the receiver operating characteristic (ROC) curves (AUCs) were analyzed to compare their predictive capacity for MetS. Of the 3000 participants in phase I of this study, 51.5% (1545) were female and 48.5% (1455) were male. In ROC analysis performed on both men and women, Body roundness index with the largest AUCs had the highest discriminatory power for MetS (0.811 and 0.794, respectively). In women, Waist-to-height ratio with AUC = 0.636 also had the greatest predictive power for MetS. The highest adjusted RRs for MetS were observed for the following indices: Waist-to-height ratio (RR = 15.24), Fat-to-muscle ratio (RR = 4.341), and Waist-to-hip ratio (RR = 3.14). Body mass index is not a good indicator to evaluate of adipose tissue, but new anthropometric indices such as body roundness index and traditional ones such as waist-to-height ratio can efficiently predict the risk of metabolic syndrome in elderly population of Iran. • BMI is not a good indicator for adipose tissue assessment in the elderly. • BRI and WHtR are useful in predicting the risk of MetS in the elderly population. • CUN-BAE has the highest predictive power among people with low HDL in MetS.

The association of cardio-metabolic risk factors and history of falling in men with osteosarcopenia: a cross-sectional analysis of Bushehr Elderly Health (BEH) program

BackgroundOsteosarcopenia, defined as sarcopenia plus osteopenia/osteoporosis, may increase the risk of fractures and affects morbidity and mortality in the older population. Falling is also common in the elderly and increases the risk of fractures and mortality. We examined the association of cardio-metabolic risk factors with a history of falling in osteosarcopenic men.MethodsWe used the baseline data of the Bushehr Elderly Health (BEH) program. Osteosarcopenia was defined as having both sarcopenia (reduced skeletal muscle mass plus low physical performance and/or low muscle strength) and osteopenia/osteoporosis (T-score ≤ − 1.0). Falling was defined as a self-reported history of an unintentional down on the ground during the previous year before the study. We used logistic regression analysis to estimate the adjusted odds ratio (AOR) with a 95% Confidence Interval (CI) to quantify the associations.ResultsAll elderly men diagnosed with osteosarcopenia (n = 341), with a mean age of 73.3(±7.4) years, were included. Almost 50(14.7%) participants reported falling. Age showed a positive association with falling (AOR: 1.09, 95%CI: 1.04–1.14). An increase of 10 mmHg in systolic blood pressure(SBP), reduces the odds of falling by 26%(AOR:0.74, 95%CI:0.62–0.89), while a positive association was detected for fasting plasma glucose (FPG), as 10 mg/dl increase in the FPG, raises the chance of falling by 14%(AOR = 1.14, 95%CI:1.06,1.23). Hypertriglyceridemia was inversely associated with falling (AOR = 0.33, 95% CI: 0.12, 0.89).ConclusionsFalling is a major public health problem in rapidly aging countries, especially in individuals with a higher risk of fragility fractures. Older age-raised fasting plasma glucose and low SBP are associated with falling in osteosarcopenic patients. Considering the higher risk of fracture in osteosarcopenic men, comprehensive strategies are needed to prevent fall-related injuries in this high-risk population.

Association between biomarkers of bone health and osteosarcopenia among Iranian older people: The Bushehr Elderly Health (BEH) program

BackgroundOsteosarcopenia is referred to as co-incidence of osteoporosis/osteopenia and sarcopenia which is defined as a geriatric syndrome with a significant prevalence that increases morbidity and mortality. There are some relevant factors that can show an increased risk of incidence of osteosarcopenia.AimWe aimed to consider the association of bone turnover markers such as Osteocalcin (OC), C-terminal cross-linked telopeptide (CTX), Tartrate Resistant acid Phosphatase (TRAP), Bone Alkaline Phosphatase (BALP) and also other factors like vitamin D, calcium, phosphorous, and ALP with osteosarcopenia in elderly.Methods We carried out a cross-sectional study on a random sample including 400 elder participants of Bushehr Elderly Health (BEH) study, in Iran. Osteopenia/ osteoporosis was defined as a T-score ≤ -1.0 standard deviation below the mean values of a young healthy adult. We defined sarcopenia as low muscle strength (handgrip strength<26 kg for men and <18 kg for women) with reduced skeletal muscle mass [Skeletal muscle index (SMI) < 7.0 kg/m2 for male and <5.4 kg/m2 for female]. Osteosarcopenia was considered as the presence of both osteopenia/osteoporosis and sarcopenia. We estimated the age-standardized prevalence of osteosarcopenia for men and women, separately. We used multivariable logistic regression to address the factors associated with osteosarcopenia.ResultsThe results showed that there was a statistically significant difference in OC), CTX, TRAP were between the osteosarcopenia (-) and osteosarcopenia (+) groups. No statistically significant difference was observed in BALP, vitamin D, calcium, phosphorous, and ALP between the compared groups.In the multivariable logistic regression model, OC and CTX were associated with increased likelihood of osteosarcopenia [adjusted OR= 1.023(1.002-1.045 for OC, 4.363(1.389-15.474 for CTX)]. Furthermore, TRAP increases the odds of osteosarcopenia in crude model [OR= 1.333 (1.070- 1.660)].ConclusionsWe observed the association between bone turnover markers particularly OC, CTX and osteosarcopenia. Given the rapid growth of the aging population, we should focus on geriatric diseases such as musculoskeletal disorders. Bone turnover markers maybe improve the early diagnosis, screening and assess the response to therapies in people with osteosarcopenia.

The associations of statin intake and the trabecular bone score and bone mineral density status in elderly Iranian individuals: a cross-sectional analysis of the Bushehr Elderly Health (BEH) program.

In recent years, a growing interest has been established to evaluate the impact of statin intake on bone health, although the reported results are controversial. This study aimed to evaluate the association of statin intake with bone health status according to BMD and TBS. This cross-sectional analysis used data from the elderly Iranian individuals who participated in the Bushehr Elderly Health (BEH) program. Dual x-ray absorptiometry (DXA) device was used to evaluate the BMD at lumbar spine (L1-L4), femoral neck, and total hip, as well as TBS at lumbar spine. Among 2426 (1260 women and 1166 men) study participants, 778 were statin users. A positive significant association, irrespective of sex, was observed between statin intake and BMD at L1-L4, even after controlling for potential variables in total population (β = 0.016, p = 0.013). The mean TBS values at L1-L4 were negatively associated with statin intake in total population (β = - 0.009, p = 0.001), while in the full adjusted model, significant positive association between TBS and statin intake was detected only in men (β = 0.013, p = 0.02). The results of this study revealed that BMD at lumbar spine has a significant association with statin intake. However, such an association appears to be weaker regarding TBS values compared to BMD.

Comparison of anthro-metabolic indicators for predicting the risk of metabolic syndrome in the elderly population: Bushehr Elderly Health (BEH) program.

Metabolic syndrome (MetS) is a cluster metabolic disorder that includes central obesity, insulin resistance, hypertension, and dyslipidemia, and is highly associated with an increased risk of developing non-communicable diseases (NCDs). This study aimed to compare the reliability of anthro-metabolic indices [visceral adiposity index (VAI), body roundness index (BRI), and a body shape index (BSI), body adiposity index (BAI), lipid accumulation product (LAP), waist to hip ratio, and waist to height ratio] in predicting MetS in Iranian older people. This cross-sectional study was conducted based on the data of 2426 adults aged ≥60years that participated in the second stage of the Bushehr Elderly Health (BEH) program, a population-based prospective cohort study being conducted in Bushehr, Iran. MetS was defined based on the revised National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria. The receiver operating characteristic (ROC) curve analysis was used to assess predictive performance of anthro-metabolic indices and determine optimal cutoff values. Logistic regression analysis was applied to determine the associations between MetS and indices. 2426 subjects (48.1% men) with mean ± SD age of 69.34 ± 6.40years were included in the study. According to ATP III criteria, 34.8% of men and 65.2% of women had MetS (P < 0.001). Of the seven examined indices, the AUCs of VAI and LAP in both genders were higher than AUCs of other anthro-metabolic indices. Also, in general population, VAI and LAP had the greatest predictive power for MetS with AUC 0.87(0.86-0.89) and 0.87(0.85-0.88), respectively. The lowest AUC in total population belonged to BSI with the area under the curve of 0.60(0.58-0.62). After adjusting for potential confounders (e.g. age, sex, education, physical activity, current smoking) in the logistic regression model, the highest OR in the total population was observed for VAI and LAP, which was 16.63 (13.31-20.79) and 12.56 (10.23-15.43) respectively. The lowest OR for MetS was 1.93(1.61-2.30) for BSI. This study indicated that both VAI and LAP are the most valuable indices among the anthro-metabolic indices to identify MetS among the elderly in both genders. So, they could be used as proper assessment tools for MetS in clinical practice. However, the cost-benefit of these indices compared to the ATP III criteria need further studies.

The association between muscle indicators and bone mass density and related risk factors in the diabetic elderly population: Bushehr Elderly Health (BEH) Program.

Loss of muscle mass and strength and bone mass density are complications of the aging process. Studies show that the prevalence of sarcopenia and osteoporosis may be higher in patients with diabetes. Therefore, this study was aimed to investigate the relationship between muscle mass and strength indices and bone mass density in diabetic elderly. This cross-sectional study was conducted based on the data collected during the Bushehr Elderly Health (BEH) Program, stage II. Diabetes was defined as FPG ≥ 126mg/dl or HbA1C ≥ 6.5 or taking anti-diabetic medication. Dual x-ray absorptiometry (DXA, Discovery WI, Hologic Inc, USA) was used to measure bone mineral density, fat mass, trabecular bone score (TBS) and muscle mass. Muscle strength was measured by grip strength.Osteoporosis was defined as the bone mineral density of ≥ 2.5 standard deviations (SD) below the average value of young normal adults (T-score of ≤ -2.5 SD) in the femoral neck, or lumbar spine (L1-L4) or total hip. To determine the relationship between skeletal muscle index (SMI) and muscle strength on bone status in a continuous scale was used from linear regression. To estimate the effect of SMI and muscle strength on osteoporosis was used from modified Poisson regression for analysis. This study included 759 diabetic elderly with a mean age of 68.6years and 56.9% of them were women. Skeletal muscle index (SMI) was related to all sites of BMDs and TBS L1-L4 after adjusted in full models (P-value < 0.001). The largest coefficients were observed for BMD L1-L4 in all models (β: 0.043g/cm2; 95% CI: 0.030-0.057 in full model). Muscle strength was also associated with BMDs and TBS. Only, in model 2 (adjustments for age and sex effect), there was no significant relationship between muscle strength and BMD L1-L4 and TBS L1-L4. The strongest associations were observed for the total hip BMD and muscle strength (β: 0.034g/cm2; 95% CI: 0.022- 0.046 in full model). Also, increased SMI and muscle strength was associated with decreased osteoporosis in crude and adjusted models (P < 0.001). In this study, it was revealed that the reduction of SMI in elderly patients with diabetes was significantly associated with decreased BMD and TBS. The muscle strength was also associated with BMD and TBS. So, muscle strength and muscle mass should be measured separately ever since both are independently associated with BMD and TBS. Muscle strength and muscle mass were negatively associated with osteoporosis in older people with diabetes. Thus, we should pay more attention to muscle strength training in older people with diabetes, particularly in osteoporotic patients.

Factors associated with TBS worse than BMD in non-osteoporotic elderly population: Bushehr elderly health program

BackgroundBone mineral density (BMD) and trabecular bone score (TBS) are moderately correlated. TBS is sometimes used as an adjuvant to BMD in the fracture risk assessment. Some individuals with normal BMD or osteopenia, have more degraded TBS. We aimed to identify factors associated with TBS worse than BMD in the non-osteoporotic elderly population.MethodsThe study subjects were selected from 2384 women and men aged ≥60 years participating in the second stage of the Bushehr Elderly Health program, a population-based prospective cohort study in Iran. The BMDs of different sites and the lumbar spine texture were measured using dual-energy X-ray absorptiometry and the TBS algorithm, respectively. Subjects were categorized based on their BMD and TBS status. Logistic regression was performed to identify the factors associated with “TBS worse than BMD” in non-osteoporotic individuals.ResultsOf 1335 participants included in the study, 112 of 457 women, and 54 of 878 men had worse TBS than BMD. In multivariable analysis, TBS worse than BMD in women was statistically significantly associated with years since menopause (OR: 1.04 (1.00–1.07)) and waist circumference (OR: 1.09 (1.05–1.14)). However, in men, the condition was statistically significantly associated with waist circumference (OR: 1.10 (1.03–1.17)), current smoking (OR: 2.54 (1.10–5.84)), and HDL-C (OR: 1.03 (1.00–1.06)).ConclusionThe results of the study show that higher waist circumference is associated with more degraded TBS than BMD in both men and women. Years passed since menopause and current smoking, respectively in women and men, were associated with more degraded TBS. Considering TBS values in older individuals with higher waist circumference, or a history of smoking despite normal BMDs might help more accurate assessment of bone health. However, further studies are required to confirm the benefit.

Studying the relationship between cognitive impairment and frailty phenotype: a cross-sectional analysis of the Bushehr Elderly Health (BEH) program.

Some pathophysiological effects of physical frailty and cognitive impairment might be similar; therefore, finding the associations in epidemiologic studies could guide clinicians and researchers to recognize effective strategies for each type of frailty such as frailty phenotype and frailty index, which in turn will result in a preventive approach. The study aimed to reveal which components of frailty phenotype are more associated with cognitive impairment. The findings of this study may help other researchers clarify the related pathways. This is a cross-sectional analysis of the results of the second phase of Bushehr Elderly Health Program; a community-based elderly prospective cohort study conducted in 2015-2016. The participants were selected through a multistage stratified cluster random sampling method. Frailty was assessed based on the Fried frailty phenotype criteria. Cognitive impairment was assessed by the Mini-Mental State Examination (MMSE), the Mini-Cog, and the Category Fluency Test (CFT). Multiple logistic regression models were applied to determine the association between frailty and cognitive impairment. Depression trait was assessed using the Patient Health Questionnaire-9 (PHQ-9). Activities of daily living were assessed using the Barthel Index and Instrumental Activities of Daily Living (IADLs) using Lawton's IADL. The studyp conducted among people ≥ 60years old (N = 2336) with women consisting 51.44% of the sample group. The mean age of the participants was 69.26years old. The prevalence of pre-frailty and frailty were 42.59% and 7.66%, respectively. In the fully adjusted model, the odds ratio of the association between pre-frailty and frailty with cognitive impairment was 1.239, 95% CI: 1.011 - 1.519 and 1.765, 95% CI: 1.071 - 2.908, respectively (adjusted for age, sex, education, body mass index, smoking, diabetes mellitus, PHQ- 9, Barthel Index, and IADLs). In the fully adjusted multiple logistic regression models, all of the components of Fried frailty phenotype were significantly related to cognitive impairment except weight loss. Cognitive impairment may be associated with frailty phenotype. Moreover, low strength and function of muscles had a stronger association with cognitive impairment. It seems that a consideration of cognitive impairment assessment in older people along with frailty and vice versa in clinical settings is reasonable.

Bone characteristics and metabolic phenotypes of obesity in an Iranian Elderly population: Bushehr Elderly Health Program (BEHP).

Obesity and osteoporosis are health problems with high impact on the morbidity and mortality rate. While the association between BMI and bone density is known, the combined effects of obesity and metabolic components on bone health have not yet been revealed. The objectives of this study were to determine the association between bone health and different phenotypes of obesity in an elderly population. This cross-sectional study was conducted on the data collected in the Bushehr Elderly Health Program (BEHP). The participants were classified in four groups based on the metabolic phenotypes of obesity (metabolic healthy obese (MHO), metabolic non-healthy non-obese (MNHNO), metabolic non-healthy obese (MNHO), and metabolic healthy non-obese (MHNO)). The association between osteoporosis and TBS and the metabolic phenotypes of obesity were assessed using multiple variable logistic regression models. Totally, 2378 people (1227 women) were considered for analyses. The prevalence of MHNO, MHO, MNHNO, and MNHO were 902 (39.9%), 138 (6.1%), 758 (33.5%), and 464 (20.5%), respectively. In the multivariate logistic regression models, those with MHO (OR 0.22; 95% CI 0.12-0.36), MNHNO (OR 0.52; 95% CI 0.4-0.66), and MNHO phenotypes (OR 0.22; 95% CI 0.16-0.3) had a significantly lower risk of osteoporosis. Likewise, those having MHO (OR 2.38; 95% CI 1.51-3.76), MNHNO (OR 1.49; 95% CI 1.11-2), and MNHO (OR 2.50; 95% CI 1.82-3.42) phenotypes were found to had higher risk of low bone quality as confirmed by TBS. The obese subjects have lower bone quality, regardless of their obesity phenotype.

Association between anemia, physical performance and cognitive function in Iranian elderly people: evidence from Bushehr Elderly Health (BEH) program

Background and objectivesThe present study aimed to investigate the relation between anemia and hemoglobin (Hgb) concentration, physical performance, and cognitive function in a large sample of Iranian elderly population.MethodsData were collected from Bushehr elderly health (BEH) program. A total of 3000 persons aged ≥60 years were selected through multistage random sampling. Hemoglobin values lower than 12 and 13 g/dL were considered as anemia for women and men, respectively. The cognitive function was measured using the Mini-cog test and Category fluency test (CFT), and the physical function was measured using handgrip strength (muscle strength), Relative handgrip strength (RHGS), and 4.57-m usual gait speed. Univariate and adjusted multivariate logistic regression and linear regression with Stata MP (version 15) were run, and a p-value of < 0.05 was used as statistically significant for all analyses.ResultsAmong participants, 7.43% were anemic, and 115 (51.57%) simultaneously had anemia and cognitive disorder. There were significant associations between red blood cell count (RBC), hemoglobin (Hgb), platelet count (PLT), and hematocrit percentage (HCT) with cognitive impairment. Additionally, Hgb concentration was significantly associated with all physical measures (Mean handgrip, Relative handgrip, and usual gait speed) and late recall (mini-cog) among the whole participants. This association remained statistically significant after considering multi-cofounders. In contrast, after stratifying the participants by gender, the association between Hgb concentration and usual gait speed was decreased in both men and women; moreover, Hgb association with cognitive measures (category fluency test and late recall) was no longer significant (all p-values > 0.05).ConclusionThere was a cross-sectional and significant association between anemia and functional variables (e.g., Relative and mean handgrip) in Iranian elderly population, whereas Semantic memory, Late recall, and walking were more affected by gender.

Relationship Between Sarcopenia and Electrocardiographic Abnormalities in Older People: The Bushehr Elderly Health Program.

Background: Sarcopenia is characterized by low skeletal muscle mass and function, which is associated with cardiovascular risk factors and may even be related to adverse cardiovascular events and mortality. This study aimed to evaluate whether sarcopenia is related to electrocardiographic (ECG) abnormalities in a large sample of older adults.Methods: We performed a cross-sectional study based on the data collected during the Bushehr Elderly Health (BEH) cohort study. Body composition was measured by dual X-ray absorptiometry (DXA) and muscle strength was measured using a digital dynamometer for each hand of every participant. A person who had low muscle strength, as well as low muscle mass was identified as having sarcopenia. The subjects were classified into three groups according to the Minnesota Code (MC) as major, minor ECG abnormalities and participants with no abnormalities ECG.Results: Of the 2,426 participants, 354 (14.6%) had major ECG abnormalities and 193 (8%) had minor ECG abnormalities. Sarcopenia was associated with an increased risk of major ECG abnormality in all models. After adjustment for confounders of CHD in full model, the OR for major ECG abnormality was 1.47 (95% CI 1.11–1.95) in those with sarcopenia. Low muscle strength and low muscle performance were both with an increased risk of major ECG abnormality in all models. Sarcopenia and low muscle strength increased 28% and 62% risk of any ECG abnormality in the full models [sarcopenia: 1.28(1.01–1.63), low muscle strength: 1.62(1.30–2.03)], respectively.Conclusions: This study showed that sarcopenia and its components are associated with ECG abnormalities in Iranian older people. Although some older adults have higher cardiovascular risk factors, these data showed that further factors such as sarcopenia may be identified as a particular risk factor for future cardiovascular events. Therefore, sarcopenia could be added to the screening of the older population to reduce the risk of cardiovascular events.