Ayesha Amjad, S. B. Ayaz, Fawad Rahman, Ahmad Jamal, Naureen Tassadaq, Sonia Iqbal
{"title":"Demographics, Daily Sleep Hours, Body Mass Index, and Comorbidities in Overweight People","authors":"Ayesha Amjad, S. B. Ayaz, Fawad Rahman, Ahmad Jamal, Naureen Tassadaq, Sonia Iqbal","doi":"10.51253/pafmj.v74i1.6967","DOIUrl":null,"url":null,"abstract":"Objective: To explore the association of knee pain intensity with demographics, body mass index, daily sleep hours and comorbidities in overweight people.\nStudy Design: Cross-sectional study.\nPlace and Duration of Study: Different Clinics of Wazirabad City, Pakistan, from Oct 2020 to May 2021.\nMethodology: People with knee pain for >1 month and a body mass index of ≥25 kg/m2 were included and questioned regarding variables of interest. The pain was graded according to the Numerical Rating Scale.\nResults: Of 335 individuals (mean age: 31±7 years), 189(56.4%) were males, and 199(59.4%) were married. The mean systolicand diastolic blood pressures were 124.4±7.9 mmHg and 85.3±7.2 mmHg, respectively. The mean sleep hours were 7±0.8 hours,while the mean body mass index was 30.1±2 kg/m2. The mean pain score was 2.8±1. Pain intensity had a significant positive correlation with age (p<0.001), body mass index (p=0.041), systolic and diastolic blood pressures (p<0.001 each). Similarly, pain intensity was significantly higher in people who were married (p<0.001) or had diabetes mellitus or hypertension (p<0.001 each).\nConclusion: Knee pain intensity increases with age, body mass index, and systolic and diastolic blood pressure, and it decreases with increasing sleep hours.","PeriodicalId":31059,"journal":{"name":"Pakistan Armed Forces Medical Journal","volume":"18 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pakistan Armed Forces Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51253/pafmj.v74i1.6967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To explore the association of knee pain intensity with demographics, body mass index, daily sleep hours and comorbidities in overweight people.
Study Design: Cross-sectional study.
Place and Duration of Study: Different Clinics of Wazirabad City, Pakistan, from Oct 2020 to May 2021.
Methodology: People with knee pain for >1 month and a body mass index of ≥25 kg/m2 were included and questioned regarding variables of interest. The pain was graded according to the Numerical Rating Scale.
Results: Of 335 individuals (mean age: 31±7 years), 189(56.4%) were males, and 199(59.4%) were married. The mean systolicand diastolic blood pressures were 124.4±7.9 mmHg and 85.3±7.2 mmHg, respectively. The mean sleep hours were 7±0.8 hours,while the mean body mass index was 30.1±2 kg/m2. The mean pain score was 2.8±1. Pain intensity had a significant positive correlation with age (p<0.001), body mass index (p=0.041), systolic and diastolic blood pressures (p<0.001 each). Similarly, pain intensity was significantly higher in people who were married (p<0.001) or had diabetes mellitus or hypertension (p<0.001 each).
Conclusion: Knee pain intensity increases with age, body mass index, and systolic and diastolic blood pressure, and it decreases with increasing sleep hours.