Back

Osteoporosis and its associated factors among patients attending Manakamana hospital, Chitwan

Dhakal, S.; Sharma, K.; Adhikari, K.; Joshi, A.; Poudel, S.

2023-07-24 epidemiology
10.1101/2023.07.21.23293006 medRxiv
Show abstract

BackgroundOsteoporosis is most common skeletal disorders that weaken bones and increase their susceptibility to fractures. It is becoming an urgent and serious global epidemic.Early diagnosis and treatment are essential to reduce morbidity and mortality associated with it. This study aimed to find out the prevalence of osteoporosis among patients attending at Manakamana Hospital, Bharatpur, Chitwan. MethodsA descriptive, cross-sectional study was adopted and 623 patients attending at orthopaedic outpatients department (OPD) of Manakamana Hospital were selected using consecutive sampling technique. Data were collected from 15th October 2021 to 15th April, 2022, by using interview schedule, chart review and BMD measurement through calcaneal ultrasonography. Ethical approval was obtained from NHRC-IRC prior to study procedures. Obtained data were analysed using descriptive statistics and association between the variables were measured using chi-square test. ResultsThe mean age of the patients was 43.5 ({+/-}14.26) years. Nearly half (44%, n=274) were middle aged adults, 59.7% were female and 56.0% were involved in agriculture and household chores. Nearly half of the patients (45.7%) were overweight/ obese, 7.9% were smokers and 13.5% had habit of alcohol use. Osteopenia or low bone density was detected in 58.9% patients and 19.4% had osteoporosis. The prevalence of osteoporosis was significantly associated with age group (p=<0.001) and educational status (p=0.013) of the patients. ConclusionsOsteoporosis and osteopenia are prevalent in patients attending in the hospital. Hence, awareness, early screening, treatment is necessary for the hospital attended patients to minimize the risk of fracture and the consequences associated with it.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.