{"title":"Asupan Energi Sebagai Prediktor Kekuatan Otot Lansia (Energy Intake as Determinant of Muscle Strength in The Elderly)","authors":"Ratmawati Ratmawati","doi":"10.32922/jkp.v11i1.629","DOIUrl":null,"url":null,"abstract":"Abstrak Latar belakang: Prevalensi sarkopenia pada lansia dengan usia 60-70 tahun berkisar antara 5-13% dan pada usia lebih dari 80 tahun meningkat sekitar 11-50%. Berbagai faktor yang dapat mempengaruhi penurunan kekuatan otot, diantaranya usia, jenis kelamin, protein energy malnutrition, status gizi, status penyakit, treatmen penyakit, etnis, dan jenis pekerjaan.Tujuan: Mengembangkan model prediksi responsif kekuatan otot lansia di rumah sakit.Metode: Jenis penelitian cross sectional yang melibatkan 40 orang lansia di Poliklinik RSUD Depati Bahrin Kabupaten Bangka (22 orang laki-laki dan 18 orang perempuan), usia ≥ 50 tahun. Data diperoleh dari hasil wawancara, pengukuran antropometri dan kekuatan genggaman tangan, serta food recall 1x24 jam. Analisis statistik menggunakan regresi linier. Hasil: Asupan energi dapat digunakan untuk memprediksi kejadian sarkopenia pada lansia berdasarkan kekuatan otot.Kesimpulan: Asupan energi dapat memprediksi risiko penurunan kekuatan otot pada lansia. Saran penelitian lanjutan untuk mempertimbangkan penggunaan metode penentuan sampling yang berbeda serta dilakukan pada skala dan faktor risiko yang lebih luas. Abstract Background: The prevalence of sarcopenia in the elderly aged 60-70 years ranges from 5-13%, while for those aged over 80 years is around 11-50%. Various factors can affect the decrease in muscle strength, including age, gender, protein-energy malnutrition, nutritional status, disease status, disease treatment, ethnicity, and type of work.Objective: The study aimed to develop a responsive predictive model of muscle strength in the elderly in the hospital. Method: This type of cross-sectional study involved 40 older people at the Depati Bahrin Hospital Polyclinic, Bangka Regency (22 men and 18 women), aged ≥ 50 years old. Data were obtained from interviews, anthropometric measurements, hand grip strength, and 1x24-hour food recall—statistical analysis using linear regression. Result: Energy intake can be used to predict the incidence of sarcopenia in the elderly based on muscle strength.Conclusion: Energy intake can predict the risk of decreased muscle strength in the elderly. Recommendation: for further research to consider using different sampling determination methods and carried out on a broader scale and risk factors. ","PeriodicalId":117300,"journal":{"name":"JURNAL KESEHATAN POLTEKKES KEMENKES RI PANGKALPINANG","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JURNAL KESEHATAN POLTEKKES KEMENKES RI PANGKALPINANG","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32922/jkp.v11i1.629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstrak Latar belakang: Prevalensi sarkopenia pada lansia dengan usia 60-70 tahun berkisar antara 5-13% dan pada usia lebih dari 80 tahun meningkat sekitar 11-50%. Berbagai faktor yang dapat mempengaruhi penurunan kekuatan otot, diantaranya usia, jenis kelamin, protein energy malnutrition, status gizi, status penyakit, treatmen penyakit, etnis, dan jenis pekerjaan.Tujuan: Mengembangkan model prediksi responsif kekuatan otot lansia di rumah sakit.Metode: Jenis penelitian cross sectional yang melibatkan 40 orang lansia di Poliklinik RSUD Depati Bahrin Kabupaten Bangka (22 orang laki-laki dan 18 orang perempuan), usia ≥ 50 tahun. Data diperoleh dari hasil wawancara, pengukuran antropometri dan kekuatan genggaman tangan, serta food recall 1x24 jam. Analisis statistik menggunakan regresi linier. Hasil: Asupan energi dapat digunakan untuk memprediksi kejadian sarkopenia pada lansia berdasarkan kekuatan otot.Kesimpulan: Asupan energi dapat memprediksi risiko penurunan kekuatan otot pada lansia. Saran penelitian lanjutan untuk mempertimbangkan penggunaan metode penentuan sampling yang berbeda serta dilakukan pada skala dan faktor risiko yang lebih luas. Abstract Background: The prevalence of sarcopenia in the elderly aged 60-70 years ranges from 5-13%, while for those aged over 80 years is around 11-50%. Various factors can affect the decrease in muscle strength, including age, gender, protein-energy malnutrition, nutritional status, disease status, disease treatment, ethnicity, and type of work.Objective: The study aimed to develop a responsive predictive model of muscle strength in the elderly in the hospital. Method: This type of cross-sectional study involved 40 older people at the Depati Bahrin Hospital Polyclinic, Bangka Regency (22 men and 18 women), aged ≥ 50 years old. Data were obtained from interviews, anthropometric measurements, hand grip strength, and 1x24-hour food recall—statistical analysis using linear regression. Result: Energy intake can be used to predict the incidence of sarcopenia in the elderly based on muscle strength.Conclusion: Energy intake can predict the risk of decreased muscle strength in the elderly. Recommendation: for further research to consider using different sampling determination methods and carried out on a broader scale and risk factors.
抽象背景:60-70岁老人的患病率在5-13%之间,80多岁老人的患病率上升了约11-50%。影响肌肉力量减少的因素包括年龄、性别、能量蛋白营养不良、营养状况、疾病、疾病、种族和工作类型。目的:在医院开发反应能力老龄化预测模型。方法:研究类型涉及40老年人在诊所的横截面Depati县县Bahrin邦加(22连男和18人死亡),≥50岁。采访、人体测量和握臂力量测量和1x24小时食品召回数据。用线性回归进行统计分析。结果:能量摄入可以用来根据肌肉的力量来预测老年人的石棺事件。结论:能量摄入可以预测老年人肌肉力量衰退的风险。高级研究建议,考虑采用不同的采样方法,并在更广泛的规模和风险因素进行。摘要背景:从5-13%开始,60-70年的恶性肿瘤从5-13%上升到60-70年,而那些80年的衰老约为11-50%。不同的因素可以影响肌肉力量、年龄、性别、蛋白质能量营养、营养状态、疾病现状、疾病治疗、种族、种族和工作类型的退化。研究对象:在医院里,肌肉力量的先见之明。研究方法:这类型的cross-sectional风险大40 people at the Depati Bahrin医院Polyclinic摄政,邦加(22分钟和18名妇女),老≥50岁。从审讯中分析数据,炭疽测量措施,手握力,和1x24小时的食物回忆——通过线性回归数据分析。建议:我们可以利用能量来预测肌肉力量的骨节。能量摄入可以预测肌肉萎缩的风险。建议:考虑用不同的方法来分解分解的方法和忧虑的因素。