Factors Associated with Coronary Heart Disease among Elderly People in Different Communities

Ferdushi, Kanis Fatama; Kamil, Anton Abdulbasah; Hasan, Mohammad Nayeem; Islam, Tanjila

doi:10.1007/978-981-15-1735-8_16

Cited by 4 publications

(7 citation statements)

References 27 publications

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“…This was especially clear with hip fractures: obese men were five times more likely to have hip fractures than men of normal weight when BMD was considered (Nielson et al, 2011). Why obese men may have a higher risk of fracture than men of normal weight, although obesity reduces the risk of women in some studies, is uncertain (Ferdushi et al, 2020). The thickness of the trochanteric soft tissue is higher in obese women than in thin women, which can reduce the risk of hip fracture by reducing the forces felt by the proximal femur (Bouxsein et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

The correlation of bone mineral density, body mass index and age

Sultana

Hasan

Taleb

2021

Asian J. Med. Biol. Res

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Osteoporosis is related to the decrease in bone mineral density. To diagnose osteoporosis and to assess its severity BMD measurement is a widely used method by using dual-energy X-ray absorptiometry (DEXA). BMD is an essential component of the assessment of bone quality and is utilized to assess the osteoporotic status of the bone for the prevention of osteoporotic fractures. The objective of this study was assessed to analyze the correlation between BMD with BMI and age. The study was conducted on 154 patients who performed the BMD test between the periods of January 2018 to July 2019. BMD of the lumbar spine (LS) and right femoral neck (FN) were measured using the DEXA method. In statistical analysis, the BMD status was compared according to age, gender, and BMI. Correlation among BMD, BMI, and age was analyzed with the nonparametric method (spearman rank correlation). SPSS software version 25 was used for analysis. Age showed highly significant negative correlations with all skeletal sites examined. Assessments on the T-score of FN and BMI were significantly related (p<0.05, r=0.223, positive relation). T-score of LS and BMI were positively correlated (r=0.484) and it was significant at a 95% level of significance. Both FN and LS T-score and showed a negative correlation, but it was significant. BMI and age were not significantly associated (p>0.05, r=-0.080, negative relation). As expected, the FN T-score and LS T-score showed a high correlation (r=0.484) between each other, and they were positive. Significant correlations were observed among BMD, BMI, and age of the patients. To identify the cause of osteoporosis, BMI and patients age can be considered as risk factors during BMD study. Our hope is that future research will reveal osteoporosis prevention targets effective for the growing population of aging men and women. Asian J. Med. Biol. Res. March 2021, 7(1): 76-81

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Section: Discussionmentioning

confidence: 99%

The correlation of bone mineral density, body mass index and age

Sultana

Hasan

Taleb

2021

Asian J. Med. Biol. Res

Self Cite

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“…According to the Population Reference Bureau (PRB), alcohol, cigarette use, inactivity, and poor nutrition are the four main key risk factors for developing chronic diseases in young adults. This widespread worry follows the development of a body of research linking early life risk exposure, including during pregnancy, to a higher risk of developing a chronic illness as an adult [6,7]. Noncommunicable diseases (NCDs) account for a greater percentage of mortality (29 %) in poorer nations than in affluent ones (13 %) before the age of 60 [8].…”

Section: Introductionmentioning

confidence: 99%

“…They are therefore the most susceptible time for people with chronic illnesses. Given the rise in young adults with chronic conditions in industrialized nations [1,7] and the rapid development of Bangladesh [17], it is important to convey the prevalence of chronic illness among young people and to create methods to help this vulnerable demographic move toward youth independence. The goal of the current study is to identify the prevalence and risk factors of chronic disease in people between the ages of 18 and 39.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Risk Factors Associated with Chronic Diseases Among Young Adult in Bangladesh

Hasan

2023

J. Sci. Res.

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One of the major health challenges of the century is the prevalence of chronic diseases in young adults. The aim of the study was to identify the risk factors for chronic disease and the prevalence of chronic disease in individuals aged 18 to 39. The outcome variable was chronic diseases, and potential predictors included sex, age, education, work status, division, region, smoking status, and respondent's income. Of the 5490 young people, 1782 (32.5 %) had at least one chronic illness. Age, work status, division, geography, and smoking status were significant predictors of chronic illnesses in the multivariate model. Compared to younger young adults, those aged 30-39 had greater odds of developing chronic diseases (OR = 1.57, 95 % CI: 1.16–2.13). Residents in socioeconomically disadvantaged areas are more likely to have chronic illnesses than their more affluent counterparts. Young men are more likely than women to experience chronic illness (OR = 1.06, 95 % CI: 0.92-1.21), although this difference wasn't statistically significant. The highly educated group reports chronic disease more frequently than other groups. These findings, particularly those pertaining to decision-makers, can aid in the justification, direction, and support of programs required to address these altering epidemiological trends.

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“…In recent years, rapid urbanization, increased life expectancy, unhealthy diet, and lifestyle changes have led to an increased rate of CVD in Southeast Asia, including Bangladesh [5] . In 1986, noncommunicable diseases (NCDs) represented only 8% of total deaths compared to 52% of deaths due to communicable diseases [1] , whereas in 2014, NCDs are estimated to account for 59% of total deaths in which CVD is the single-most important contributor, and is responsible for 17% of total mortality [6] .…”

Section: Introductionmentioning

confidence: 99%

“…Lipid profile (TC, TG, LDL-C, HDL-C) 6 Kondreddy R et al [26] Case-control study 2014 Libya 93 patients 40-80 years were diagnosed with CHD (history of angina or surviving myocardial infarction) with or without diabetes mellitus and hypertension.…”

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confidence: 99%

A review: Serum Lipid Profile Status in Cardiovascular Disease

Islam,

AshiqurRahman,

AnamChowdhury

et al. 2023

MMR

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Dyslipidemia is one of the modifiable risk factors for cardiovascular diseases (CVD). Lipids and lipoproteins, their metabolism, and their transport are essential contributing factors of cardiovascular disease (CVD) as they regulate plasma cholesterol concentration, enhancing cholesterol uptake by macrophages, leading to foam cell formation and ultimately resulting in plaque formation and inflammation. In a population with cardiovascular risk factors, HDL-cholesterol, Total/HDL-cholesterol and triglycerides/HDL-cholesterol ratios were associated with a higher population attributable risk for cardiovascular disease compared to other common biomarkers.

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Factors Associated with Coronary Heart Disease among Elderly People in Different Communities

Cited by 4 publications

References 27 publications

The correlation of bone mineral density, body mass index and age

The correlation of bone mineral density, body mass index and age

Prevalence and Risk Factors Associated with Chronic Diseases Among Young Adult in Bangladesh

A review: Serum Lipid Profile Status in Cardiovascular Disease

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