Estimation of Prevalence of Osteoporosis Using OSTA and Its Correlation with Sociodemographic Factors, Disability and Comorbidities

Prevalence of osteoporosis and associated factors among people aged 50 years and older in the Madhesh province of Nepal: a community-based cross-sectional study

BACKGROUND

The high prevalence of osteoporosis has increased the economic burden on the health system globally. The burden of osteoporosis and its associated factors have not been adequately assessed in community settings in the Nepalese context thus far. Therefore, this study aimed to assess the prevalence of osteoporosis and its associated factors, lifestyle behaviors, and dietary calcium intake.

METHODS

A community-based cross-sectional study was conducted among 395 people aged 50 years and older in the Madhesh Province of Nepal between July 2022 and August 2023. The Osteoporosis Self-assessment Tools for Asians (OSTA) index was used to measure osteoporosis. A structured questionnaire was used to collect sociodemographic information, anthropometric data, lifestyle behavior, daily dietary calcium intake, and frequency of calcium-rich food consumption. A food frequency questionnaire and 24-hour recall methods were used to assess dietary intake. The chi-square test, binary logistic regression and Mann‒Whitney U test were applied to measure the association between predictors and the outcome of interest.

RESULTS

The prevalence of no risk, moderate risk and high risk of osteoporosis were 38.7%, 39%, and 22.3% respectively. The risk of osteoporosis was higher in females (aOR = 5.18, CI: 2.10-12.75, p < 0.001) and increased risk with advancing age (aOR = 32.49, CI: 14.02-75.28, p < 0.001). Similarly, underweight was associated with increased odds of having osteoporosis (aOR = 13.42, CI = 4.58-39.30, p < 0.001). The incidence of osteoporosis was strongly associated with daily calcium intake of 225 mg (100, 386).

CONCLUSION

This study revealed a high prevalence of osteoporosis among people aged 50 years and older due to the combined effect of being underweight and having inadequate calcium intake. Nutritional counselling services encourage people to consume sufficient calcium-rich food and adopt an appropriate lifestyle behaviours to maintain healthy body weight so that osteoporosis and osteoporotic fractures could be prevented. Further research can explore the impact of socioeconomic status and medical comorbidities on a large scale.

High Body Fat as a Predictor of Osteoporosis Risk in Postmenopausal Women: Insights From a Community-Based Cross-Sectional Study in Rural South India

INTRODUCTION

Osteoporosis poses a significant health burden, particularly among postmenopausal women. While obesity in the form of BMI has been implicated in various health conditions, the relationship between waist-hip ratio (WHR) and osteoporosis remains debated. This study aims to estimate the prevalence of osteoporosis risk and explore the association between WHR and osteoporosis risk among postmenopausal women in rural South India.

METHODS

A community-based cross-sectional study was conducted in the Chengalpattu district of Tamil Nadu. The study enrolled 435 postmenopausal women aged 45 years and above and the data were collected on socio-demographic characteristics, anthropometric measurements, and osteoporosis risk assessment using the Osteoporosis Self-assessment Tool for Asian Women (OSTA) scale. Logistic regression analysis was performed to identify factors associated with osteoporosis risk with 95%CI.

RESULTS

The mean (SD) age of participants was 54.5 (8.6) years, 87% were married, 33% were illiterate with mean (SD) WHR of 0.88 (0.1). Around 80.5% of the participants were categorized as low risk, 16.1% as intermediate risk, and 3.5% as high risk based on OSTA scores. Older age, lower educational attainment, and higher waist-hip ratio were significantly associated with increased osteoporosis risk.

CONCLUSION

This community-based study found a 20% osteoporosis risk among postmenopausal women using the OSTA scale, with age, lower education, and waist-hip ratio as key determinants. Early identification and interventions, particularly targeting older and obese individuals, are crucial to alleviate the burden and complications of osteoporosis.

The association between albumin and C-reactive protein in older adults

Albumin had been found to be a marker of inflammation. The purpose of our study was to investigate the relationship between albumin and C-reactive protein (CRP) in 3579 participants aged 60 to 80 years from the National Health and Nutrition Examination Survey (NHANES). In order to evaluate the association between albumin and CRP, We downloaded the analyzed data (2015-2018) from the NHANES in the United States, and the age of study population was limited to 60 to 80 years (n = 4051). After exclusion of subjects with missing albumin (n = 456) and CRP (n = 16) data, 3579 subjects aged 60 to 80 years were reserved for a cross-sectional study. All measures were calculated accounting for NHANES sample weights. We used the weighted χ2 test for categorical variables and the weighted linear regression model for continuous variables to calculate the difference among each group. The subgroup analysis was evaluated through stratified multivariable linear regression models. Fitting smooth curves and generalized additive models were also carried out. We found albumin negatively correlated with CRP after adjusting for other confounders in model 3 (β = -0.37, 95% CI: -0.45, -0.28, P < .0001). After converting albumin from a continuous variable to a categorical variable (quartiles), albumin level was also negatively associated with serum CRP in all groups (P for trend < .001 for each). In the subgroup analysis stratified by gender, race/ethnicity, smoking, high blood pressure, the negative correlation of albumin with CRP was remained. We also found that the level of CRP further decreased in other race (OR: -0.72, 95% CI: -0.96, -0.47 P < .0001) and participants with smoking (OR: -0.61, 95% CI: -0.86, -0.36 P < .0001). Our findings revealed that albumin levels was negatively associated with CRP levels among in USA elderly. Besides, CRP level decreased faster with increasing albumin level in other race and participants with smoking. Considering this association, hypoalbuminemia could provide a potential predictive biomarker for inflammation. Therefore, studying the relationship between albumin and CRP can provide a screening tool for inflammation to guide therapeutic intervention and avoid excessive correction of patients with inflammation.

Correlation of hemoglobin with osteoporosis in elderly Chinese population: A cross-sectional study

Introduction

In the elder population, both low hemoglobin (Hb)/anemia and osteoporosis (OP) are highly prevalent. However, the relationship between Hb and OP is still poorly understood. This study was to evaluate the correlation between Hb and OP in Chinese elderly population.

Methods

One thousand and sisty-eight individuals aged 55-85 years were enrolled into this cross-sectional study during June 2019-November 2019. Data on the demographics and clinical characteristics were recorded. Detections of complete blood count, liver/kidney function, glucose metabolism and lipid profile, and thoracolumbar X-ray were performed, and bone mineral density (BMD) at lumbar spine 1-4, femur neck, and total hip was measured by dual-energy X-ray absorptiometry (DXA). Univariate and multivariate linear regression analyses were employed to evaluate the correlation between Hb with BMD T-score. Logistic regression analysis was performed to access the correlation between different Hb levels and the odds ratio (OR) for OP.

Results

Compared with non-OP group, OP patients had lower level of Hb. Univariate linear regression analysis indicated Hb level was positively related to the BMD of lumbar spine 1-4, femur neck and total hip, and this relationship remained after adjusting confounding variables [gender, age, body mass index (BMI), diabetes mellitus (DM) and morphological vertebral fracture]. Logistic regression analysis showed the ORs for OP decreased with the increase of Hb. Compared with the subjects with the lowest quartile of Hb, the OR for OP in the highest quartile group was 0.60 (0.41-0.89) after adjusting for gender, age and BMI, and the OR for OP was 0.62 (0.41-0.92) after further adjustment for gender, age, BMI, DM, and lipid indexes.

Discussion

In conclusion, Lower Hb level is related to lower BMD in the elderly population. However, whether Hb level could be used to predict the risk of OP needs to be further determined in more longitudinal clinical studies.

Association of mental disorders and psychotropic medications with bone texture as measured with trabecular bone score

INTRODUCTION

Mental disorders and psychotropic medications are known to increase the risk of osteoporosis and fractures. However, current evidence is mostly limited to studies that used bone mineral density (BMD), which does not provide information about the texture of bone tissue and can underestimate fracture risk.

METHODS

We tested the association between bone texture, as measured with lumbar spine trabecular bone score (TBS), and both diagnosed mental disorders and psychotropic medication use in a large population-based BMD registry from Manitoba, Canada. General linear and logistic regression models were used to test the association of TBS with mental disorders (anxiety, depression, schizophrenia, and alcohol use disorder) and psychotropic medications use (selective serotonin reuptake inhibitors [SSRI], tricyclic antidepressants [TCA], other antidepressants, lithium, non‑lithium mood stabilizers, antipsychotics, and benzodiazepines), adjusted for comorbidities and confounding factors.

RESULTS

The study population contained 45,716 women (mean age = 64.1, SD = 10.4), which included 21.1 % with diagnoses for mental disorders and 18.7 % using psychotropic medications. We observed significant negative covariate-adjusted effects on TBS from diagnosed alcohol use disorder (3.1 % reduction in TBS, p < 0.001) and exposure to SSRI (0.6 % reduction, p < 0.001), TCA (0.8 % reduction, p < 0.001), other antidepressants (0.8 % reduction, p < 0.001), and lithium (3 % reduction, p < 0.001). Logistic regression revealed that TBS in the lowest (versus highest) tertile was associated with alcohol use disorder (adjusted odds ratio [OR] = 2.87, 95 % confidence interval [CI]: 1.95, 4.21), exposure to SSRI (OR = 1.21; 95 % CI: 1.08, 1.35), TCA (OR = 1.18, 95 % confidence interval [CI]: 1.04, 1.35), other antidepressants (OR = 1.26; 95 % CI: 1.09, 1.45), and lithium (OR = 1.97; 95 % CI: 1.09, 3.57).

CONCLUSION

Our results suggest that alcohol use disorder, antidepressants, and lithium are associated with poorer bone texture in women. These findings add to the current literature on the link of bone pathology with mental disorders and psychotropic medications.

Assessing the Knowledge and Attitude towards Osteoporosis among Syrian Women: A Cross-Sectional Study

BACKGROUND

Osteoporosis is a progressive decline in the bone mass, which occurs with no alterations to the bone's composition. It is associated with increased bone fragility that may eventually lead to fractures. In this study, we aim to assess the level of awareness that Syrian women possess regarding osteoporosis and spread the knowledge about its prevention measures.

METHODS

This study was approved by the Institutional Review Board of the Syrian Private University. A validated questionnaire was asked to be filled in by women aged 18 and above, who were presented to clinics at Damascus, Al Helal, and Al Zahrawi hospitals between 28 November 2021 and 5 March 2022.

RESULTS

6082 women were included, of which 63.9% (n = 3884) were under 30 years old and 89.3% (n = 5429) were in their reproductive age. The average knowledge score of osteoporosis was 69.2 ± 7.7 (28-100); 88.1% correctly defined osteoporosis while the majority (93.4%) has heard of it. The majority of our participants were living in rural areas (77.2%; n = 4698) while only 22.8% (n = 1384) were living in urban areas. The respondents from urban areas reported the highest knowledge scores (OR = 1.472; 95% CI: 1.258-1.723; P < 0.0001). 75.60% agreed that aging is a risk factor for osteoporosis. 64.6% were aware that osteoporosis is directly responsible for hip fractures. Smoking, family history, lack of exercise, and menopause were the main risk factors for osteoporosis, at 53.6%, 53.1%, 84.6%, and 60.7%, respectively. Social media represented the ultimate source of information on osteoporosis (64.70%).

CONCLUSION

Our study is the largest in the region and the first of its kind in the country. Syrian women had an average knowledge score regarding osteoporosis; the vast majority has defined it correctly and has heard of it. We found no statistical significance between age or educational level and adequate knowledge about osteoporosis.

The Use of Digital Health Tools for Health Promotion Among Women With and Without Chronic Diseases: Insights From the 2017-2020 Health Information National Trends Survey

Background

In the United States, almost 90% of women are at risk of at least one chronic condition. However, the awareness, management, and monitoring of these conditions are low and present a substantial public health problem. Digital health tools can be leveraged to reduce the alarmingly high rates of chronic condition–related mortality and morbidity in women.

Objective

This study aimed to investigate the 4-year trend of digital health use for health promotion among women with chronic conditions in the United States.

Methods

Data for this study were obtained from the 2017 to 2020 iterations of the Health Information Trends Survey 5. Separate weighted logistic regression models were conducted to test the unadjusted and adjusted association of the study variables and each digital health use. The 95% CI, adjusted odds ratio (aOR), and P value (.05) were reported. Analysis was conducted using Stata 17 software.

Results

In total, 8573 women were included in this study. The weighted prevalence of the use of a smartphone or tablet for various activities were as follows: track health goals, 50.3% (95% CI 48.4%-52.2%; 3279/7122); make a health decision, 43.6% (95% CI 41.9%-45.3%; 2998/7101); and discuss with a provider, 40% (95% CI 38.2%-41.8%; 2834/7099). In the preceding 12 months, 33% (95% CI 30.9%-35.2%; 1395/4826) of women used an electronic wearable device, 18.7% (95% CI 17.3%-20.2%; 1532/7653) shared health information, and 35.2% (95% CI 33.2%-37.3%; 2262/6349) sent or received an SMS text message with a health professional. Between 2017 and 2020, the weighted prevalence of having 0, 1, and multiple chronic conditions were 37.4% (2718/8564), 33.4% (2776/8564), and 29.3% (3070/8564), respectively. However, slightly above half (52.2%, 95% CI 0.50%-0.53%; 4756/8564) of US women reported having at least one chronic disease. Women with multiple chronic conditions had higher odds of using their tablet or smartphone to achieve a health-related goal (aOR 1.43, 95% CI 1.16-1.77; P=.001) and discuss with their provider (aOR 1.55 95% CI 1.20-2.00; P=.001) than those without any chronic conditions. Correspondingly, in the past 12 months, the odds of using an electronic wearable device (aOR 1.40, 95% CI 1.00-1.96; P=.04), sharing health information (aOR 1.91, 95% CI 1.46-2.51; P<.001), and communicating via SMS text messaging with a provider (aOR 1.31, 95% CI 1.02-1.68; P=.03) were significantly higher among women with chronic conditions than those without a chronic condition.

Conclusions

This study suggests that women with chronic conditions accept and integrate digital health tools to manage their care. However, certain subpopulations experience a digital disconnect that may exacerbate existing health inequities. Implications for research and opportunities to leverage and integrate digital health tools to prevent, monitor, manage, and treat chronic conditions in women are discussed.

The Diagnostic Value of the Osteoporosis Self-assessment Tool for Asians in Vietnamese Postmenopausal Women

Introduction: Osteoporosis is a common disease that affects many women in the postmenopausal period. Dual-energy X-ray absorptiometry (DXA) is a simple and noninvasive method used to diagnose osteoporosis. The Osteoporosis Self-Assessment Tool for Asians (OSTA) is an osteoporosis risk assessment toolkit, used for menopausal women in Asia. This study aimed to evaluate the diagnostic values of the OSTA index in determining the risk of osteoporosis in postmenopausal women. Material and Methods:  This cross-sectional study was conducted on 919 postmenopausal women to determine the value of OSTA in osteoporosis risk assessment. The bone density was measured using the DXA method in the lumbar spine and femoral neck. Results: Based on the ROC curve, the sensitivity and specitivity of OSTA were 70.3% and 63.6% at the cut-off of ≤ -1.4 at the femoral neck or lumber spine or both (p = 0.005) . At a cut-off point of ≤-1 at one of two position or both, the OSTA index showed a specificity of 87.23%, sensitivity of 66.08%, positive predictive value of 46.90%, and negative predictive value of 93.78% in predicting the osteoporosis risk. Conclusions: The OSTA index is a simple tool that is highly sensitive and specific in predicting the risk of osteoporosis in postmenopausal women.

Incidence and risk factors for postoperative pneumonia following surgically treated hip fracture in geriatric patients: a retrospective cohort study

Objective

Large sample investigations for risk factors for pneumonia in elderly patients after hip fracture surgeries are lacking. The purpose of this study is to determine the incidence and risk factors for postoperative pneumonia in geriatric patients following hip fracture operations.

Methods

A retrospective study of incidence and risk factors in a tertiary referral center between 2016 and 2020 was conducted. Geriatric patients who developed postoperative pneumonia after surgeries of hip fracture during hospitalization stay were defined as cases and those without as controls. Multivariate logistic regression model was used to evaluate risk factors for postoperative pneumonia.

Results

This study included 3147 patients, and 182 developed postoperative pneumonia, denoting the rate of 5.8%. In the multivariate analyses, age (OR 1.04; 95% CI 1.02–1.06), sex (males) (OR 2.27; 95% CI 1.64–3.13), respiratory disease (OR 3.74; 95% CI 2.32–6.04), heart disease (OR 1.68; 95% CI 1.14–2.47), cerebrovascular disease (OR 1.58; 95% CI 1.11–2.27), liver disease (OR 2.61; 95% CI 1.33–5.15), preoperative stay (OR 1.08; 95% CI 1.05–1.11) and general anesthesia (OR 1.61; 95% CI 1.15–2.27) were identified as independent risk factors for postoperative pneumonia.

Conclusions

This study identified several risk factors for pneumonia in geriatric patients after hip fracture operations, providing a viable preventive strategy for optimizing clinical conditions for reduction of postoperative pneumonia.

Simple Self-Assessment Tool to Predict Osteoporosis in Taiwanese Men

Background: Although the self-assessment tools for predicting osteoporosis are convenient for clinicians, they are not commonly used among men. We developed the Male Osteoporosis Self-Assessment Tool for Taiwan (MOSTAi) to identify the patients at risk of osteoporosis. Methods: All the participants completed a questionnaire on the clinical risk factors for the fracture risk assessment tool. The risk index was calculated by the multivariate regression model through the item reduction method. The receiver operating characteristic (ROC) curve was used to analyze its sensitivity and specificity, and MOSTAi was developed and validated. Results: A total of 2,290 men participated in the bone mineral density (BMD) survey. We chose a model that considered two variables (age and weight). The area under the curve (AUC) of the model was 0.700. The formula for the MOSTAi index is as follows: 0.3 × (weight in kilograms) - 0.1 × (years). We chose 11 as the appropriate cut-off value for the MOSTAi index to identify the subjects at the risk of osteoporosis. Conclusions: The MOSTAi is a simple, intuitive, and country-specific tool that can predict the risk of osteoporosis in Taiwanese men. Due to different demographic characteristics, each region of the world can develop its own model to identify patients with osteoporosis more effectively.

The global prevalence of osteoporosis in the world: a comprehensive systematic review and meta-analysis

BACKGROUND

Osteoporosis affects all sections of society, including families with people affected by osteoporosis, government agencies and medical institutes in various fields. For example, it involves the patient and his/her family members, and government agencies in terms of the cost of treatment and medical care. Providing a comprehensive picture of the prevalence of osteoporosis globally is important for health policymakers to make appropriate decisions. Therefore, this study was conducted to investigate the prevalence of osteoporosis worldwide.

METHODS

A systematic review and meta-analysis were conducted in accordance with the PRISMA criteria. The PubMed, Science Direct, Web of Science, Scopus, Magiran, and Google Scholar databases were searched with no lower time limit up till 26 August 2020. The heterogeneity of the studies was measured using the I2 test, and the publication bias was assessed by the Begg and Mazumdar's test at the significance level of 0.1.

RESULTS

After following the systematic review processes, 86 studies were selected for meta-analysis. The sample size of the study was 103,334,579 people in the age range of 15-105 years. Using meta-analysis, the prevalence of osteoporosis in the world was reported to be 18.3 (95% CI 16.2-20.7). Based on 70 studies and sample size of 800,457 women, and heterogenicity I2: 99.8, the prevalence of osteoporosis in women of the world was reported to be 23.1 (95% CI 19.8-26.9), while the prevalence of osteoporosis among men of the world was found to be 11.7 (95% CI 9.6-14.1 which was based on 40 studies and sample size of 453,964 men.). The highest prevalence of osteoporosis was reported in Africa with 39.5% (95% CI 22.3-59.7) and a sample size of 2989 people with the age range 18-95 years.

CONCLUSION

According to the medical, economic, and social burden of osteoporosis, providing a robust and comprehensive estimate of the prevalence of osteoporosis in the world can facilitate decisions in health system planning and policymaking, including an overview of the current and outlook for the future; provide the necessary facilities for the treatment of people with osteoporosis; reduce the severe risks that lead to death by preventing fractures; and, finally, monitor the overall state of osteoporosis in the world. This study is the first to report a structured review and meta-analysis of the prevalence of osteoporosis worldwide.

Can waist circumference be a predictor of bone mineral density independent of BMI in middle-aged adults?

BACKGROUND

Obesity and osteoporosis are major public health issues globally. The prevalence of these two diseases prompts the need to better understand the relationship between them. Previous studies, however, have yielded controversial findings on this issue. Therefore, our aim in this study was to evaluate the independent association between waist circumference (WC), as a marker of obesity, and the bone mineral density (BMD) of the lumbar spine among middle-aged adults using data from the National Health and Nutrition Examination Survey (NHANES).

METHODS

Our analysis was based on NHANES data from 2011 to 2018, including 5084 adults, 40-59 years of age. A weighted multiple linear regression analysis was used to evaluate the association between WC and lumbar BMD, with smooth curve fitting performed for non-linearities.

RESULTS

After adjusting for BMI and other potential confounders, WC was negatively associated with lumbar BMD in men (β = -2.8, 95% CI: -4.0 to -1.6) and premenopausal women (β = -2.6, 95% CI: -4.1 to -1.1). On subgroup analysis stratified by BMI, this negative association was more significant in men with a BMI ≥30 kg/m2 (β = -4.1, 95% CI: -6.3 to -2.0) and in pre- and postmenopausal women with a BMI <25 kg/m2 (premenopausal women: β= -5.7, 95% CI: -9.4 to-2.0; postmenopausal women: β=-5.6, 95% CI: -9.7 to -1.6). We further identified an inverted U-shaped relationship among premenopausal women, with a point of inflection at WC of 80 cm.

CONCLUSIONS

Our study found an inverse relationship between WC and lumbar BMD in middle-aged men with BMI ≥30 kg/m2, and women with BMI <25 kg/m2.

Data-Driven Dietary Patterns, Nutrient Intake and Body Weight Status in a Cross-Section of Singaporean Children Aged 6-12 Years

Pattern analysis of children’s diet may provide insights into chronic disease risk in adolescence and adulthood. This study aimed to assess dietary patterns of young Singaporean children using cluster analysis. An existing dataset included 15,820 items consumed by 561 participants (aged 6–12 years) over 2 days of dietary recall. Thirty-seven food groups were defined and expressed as a percentage contribution of total energy. Dietary patterns were identified using k-means cluster analysis. Three clusters were identified, “Western”, “Convenience” and “Local/hawker”, none of which were defined by more prudent dietary choices. The “Convenience” cluster group had the lowest total energy intake (mean 85.8 ± SD 25.3% of Average Requirement for Energy) compared to the other groups (95.4 ± 25.9% for “Western” and 93.4 ± 25.3% for “Local/hawker”, p < 0.001) but also had the lowest calcium intake (66.3 ± 34.7% of Recommended Dietary Allowance), similar to intake in the “Local/hawker” group (69.5 ± 38.9%) but less than the “Western” group (82.8 ± 36.1%, p < 0.001). These findings highlight the need for longitudinal analysis of dietary habit in younger Singaporeans in order to better define public health messaging targeted at reducing risk of major noncommunicable disease.

Association of circulating B-type natriuretic peptide with osteoporosis in a Chinese type 2 diabetic population

Background

Altered circulating levels and genetic variation of B-type natriuretic peptide (BNP), has been associated with lower bone mineral density (BMD) values and incidence of osteoporosis in peritoneal dialysis patients, renal transplant recipients, and postmenopausal women. The potential relationship of circulating BNP with osteoporosis in patients with type 2 diabetes mellitus (T2DM), however, has not yet been studied.

Methods

Circulating BNP levels were measured in 314 patients with T2DM, and participants were divided into normal BMD group (n = 73), osteopenia group (n = 120), and osteoporosis group (n = 121). The association of circulating BNP with diabetic osteoporosis and other parameters was analyzed.

Results

Circulating BNP was significantly higher in diabetic osteoporosis subjects than normal and osteopenia groups (P < 0.01 or P < 0.05). Circulating BNP levels correlated significantly and positively with neutrophil to lymphocyte ratio, systolic blood pressure, urinary albumin-to-creatinine ratio, and prevalence of hypertension, peripheral arterial disease, diabetic retinopathy, peripheral neuropathy, and nephropathy, and negatively with triglyceride, fasting blood glucose, lymphocyte count, hemoglobin, estimated glomerular filtration rate, bilirubin, osteoporosis self-assessment tool for Asians, BMD at different skeletal sites and corresponding T scores (P < 0.01 or P < 0.05). After multivariate adjustment, circulating BNP remained independently significantly associated with the presence of osteoporosis (odds ratio, 2.710; 95% confidence interval, 1.690–4.344; P < 0.01). BMD at the femoral neck and total hip and corresponding T scores were progressively decreased, whereas the prevalence of osteoporosis was progressively increased with increasing BNP quartiles (P for trend< 0.01). Moreover, receiver-operating characteristic analysis revealed that the optimal cutoff point of circulating BNP to indicate diabetic osteoporosis was 16.35 pg/ml.

Conclusions

Circulating BNP level may be associated with the development of osteoporosis, and may be a potential biomarker for diabetic osteoporosis.

Osteoporosis awareness among patients in Singapore (OASIS)-a community hospital perspective

This study examines factors associated with osteoporosis awareness and knowledge using Osteoporosis Prevention and Awareness Tool (OPAAT). Of 410 patients, majority of patients had a OPAAT score < 24 (n = 362, 88.3%). Lower education level (odds ratio (OR) (primary education): 3.63; OR (no formal education): 111.5; p < 0.001) and diabetic patients (OR: 1.67; p = 0.003) were associated with lower OPAAT scores.

INTRODUCTION

Lack of osteoporosis awareness forms a critical barrier to osteoporosis care and has been linked with increased institutionalization, healthcare expenditures, and decreased quality of life. This study aims to identify factors associated with osteoporosis awareness and knowledge among female Singaporeans.

METHODOLOGY

A cross-sectional study was conducted among adult female patients (aged 40 to 90 years old) who were admitted into Outram Community Hospital from April to October 2020. Osteoporosis awareness and knowledge were assessed using interviewer-administered Osteoporosis Prevention and Awareness Tool (OPAAT). High knowledge was defined as a OPAAT score ≥ 24. Multivariate logistical regression analyses were used to identify predictors of low OPAAT scores.

RESULTS

Of 410 patients recruited, their mean age was 71.9 ± 9.5 years old and majority of patients had a OPAAT score < 24 (n = 362, 88.3%). Patients with lower OPAAT scores tended to be older (72.5 ± 9.2 vs 67.5 ± 10.1, p < 0.001), attained lower education level (p < 0.001), and were more likely to live in public housing (92.5% vs 81.5%, p = 0.009). The prevalence of diabetes mellitus was higher in patients with low OPAAT scores (39.2% vs 18.8%, p = 0.006). After adjustment for covariates, lower education level (odds ratio (OR) (primary education): 3.63; OR (no formal education): 11.5; p < 0.05) and patients with diabetes mellitus (OR: 1.67; p = 0.03) were associated with lower OPAAT knowledge scores.

CONCLUSION

Elderly female patients in community hospital have inadequate osteoporosis awareness despite being at risk of fractures. There is a need to address the knowledge gap in osteoporosis, especially among diabetic patients or patients with lower education.

Comparing the prevalence of multimorbidity using different operational definitions in primary care in Singapore based on a cross-sectional study using retrospective, large administrative data

OBJECTIVES

Multimorbidity is a norm in primary care. A consensus on its operational definition remains lacking especially in the list of chronic conditions considered. This study aimed to compare six different operational definitions of multimorbidity previously reported in the literature for the context of primary care in Singapore.

DESIGN, SETTING AND PARTICIPANTS

This is a retrospective study using anonymised primary care data from a study population of 787 446 patients. We defined multimorbidity as having three or more chronic conditions in an individual. The prevalence of single conditions and multimorbidity with each operational definition was tabulated and standardised prevalence rates (SPRs) were obtained by adjusting for age, sex and ethnicity. We compared the operational definitions based on (1) number of chronic diseases, (2) presence of chronic diseases of high burden and (3) relevance in primary care in Singapore. IBM SPSS V.23 and Microsoft Office Excel 2019 were used for all statistical calculations and analyses.

RESULTS

The SPRs of multimorbidity in primary care in Singapore varied from 5.7% to 17.2%. The lists by Fortin et al, Ge et al, Low et al and Quah et al included at least 12 chronic conditions, the recommended minimal number of conditions. Quah et al considered the highest proportion of chronic diseases (92.3%) of high burden in primary care in Singapore, with SPRs of at least 1.0%. Picco et al and Subramaniam et al considered the fewest number of conditions of high relevance in primary care in Singapore.

CONCLUSIONS

Fortin et al's list of conditions is most suitable for describing multimorbidity in the Singapore primary care setting. Prediabetes and 'physical disability' should be added to Fortin et al's list to augment its comprehensiveness. We propose a similar study methodology be performed in other countries to identify the most suitable operational definition in their own context.

Association of Circulating Omentin-1 with Osteoporosis in a Chinese Type 2 Diabetic Population

Aims

Omentin-1, a newly identified adipokine, has been demonstrated to be associated with bone metabolism, but the results have been inconsistent. Moreover, the potential relationship of circulating omentin-1 with diabetic osteoporosis has never been reported. This study is intended for studying the association between circulating omentin-1, bone mineral density (BMD), prior fragility fractures, and other bone metabolic-related parameters.

Methods

Circulating omentin-1 levels were measured in 172 patients with type 2 diabetes mellitus (T2DM), and participants were divided into the normal BMD group (n = 52), the osteopenia group (n = 66), and the osteoporosis group (n = 54). The relationship between circulating omentin-1 and diabetic osteoporosis and other parameters was analyzed.

Results

Circulating omentin-1 was significantly higher in the osteoporosis group than in the normal group and in the osteopenia group (both P < 0.05). Circulating omentin-1 levels were correlated significantly and positively with sex; high-density lipoprotein cholesterol; apolipoprotein A; and prevalence of prior fragility fractures, diabetic nephropathy, and retinopathy; they were correlated negatively with diastolic blood pressure, triglyceride, hemoglobin, atherogenic index of plasma, osteoporosis self-assessment tool for Asians, BMD at different skeletal sites, and corresponding T scores, irrespective of age, sex, and body mass index (P < 0.01 or P < 0.05). Moreover, circulating omentin-1 was an independent decisive factor for the presence of osteoporosis only in women after multivariate adjustment (odds ratio: 1.069; 95% confidence interval: 1.003-1.139; P < 0.05). Lastly, the analysis of receiver operating characteristic curves revealed that the best cutoff value for circulating omentin-1 to predict diabetic osteoporosis was 15.37 ng/mL (sensitivity: 71.7%; specificity: 58.5%) in female subjects.

Conclusions

High levels of circulating omentin-1 may be associated with the development of osteoporosis in female diabetic subjects and may be a potential biomarker for diabetic osteoporosis in women.

Evaluation of two tools for the early screening of osteoporosis in postmenopausal Chinese women with type 2 diabetes mellitus

Objective

To evaluate two osteoporosis screening tools, the osteoporosis self-assessment tool for Asians (OSTA) and the osteoporosis screening tool for Chinese (OSTC), in postmenopausal Chinese women with type 2 diabetes mellitus (T2DM).

Methods

This retrospective study enrolled postmenopausal female patients with T2DM. Bone mineral density at the lumbar spine (L1–4) and left femoral neck was measured using dual-energy X-ray absorptiometry (DXA). The OSTA and OSTC scores were calculated and compared with bone mineral density at the two anatomical sites.

Results

A total of 404 patients with T2DM were enrolled in this study. The detection rates for osteoporosis in the lumbar spine (L1–L4) and left femoral neck by DXA were 22.5% (91 of 404 patients) and 21.8% (88 of 404 patients), respectively; 14.4% (58 of 404 patients) and 18.1% (73 of 404 patients) by OSTA, respectively; and 21.5% (87 of 404 patients) at both sites by OSTC. At the femoral neck, the areas under the curve (AUC) of OSTA and OSTC for predicting osteoporosis were 0.73 and 0.78, respectively. The sensitivity and specificity for OSTA were 64.9% and 72.7%, respectively; and for OSTC, they were 64.2% and 79.5%, respectively.

Conclusions

The OSTC assessment tool was superior to OSTA for osteoporosis screening in postmenopausal Chinese women with T2DM.

The Association between Serum Uric Acid and Bone Mineral Density in Older Adults

OBJECTIVES

Uric acid has been found to be potentially protective in bone metabolism. We investigated the relationship between serum uric acid (sUA) and lumbar bone mineral density (BMD) among 4156 participants aged 60 years and over from the National Health and Nutrition Examination Survey (NHANES).

METHODS

To estimate the association between sUA and lumbar BMD, multivariate logistic regression analyses were conducted. Fitted smoothing curves and generalized additive models were also performed.

RESULTS

We found sUA positively correlated with lumbar BMD after adjusting for other confounders. On subgroup analyses, stratified by sex and race/ethnicity, the positive correlation of sUA with lumbar BMD remained in both men and women, as well as in whites and Mexican Americans, but not in blacks. In blacks, the association of sUA with lumbar BMD was an inverted U-shaped curve (inflection point: 7.5 mg/dL).

CONCLUSIONS

Our study revealed a positive relationship between sUA and lumbar BMD among most old adults. This association followed an inverted U-shaped curve among blacks.