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"Latar Belakang: Infeksi virus dengue (DENV) dapat menyebabkan manifestasi klinis seperti demam berdarah (DD) dan demam berdarah dengue (DBD). Kedua kelompok tersebut dapat dibedakan melalui terjadinya kebocoran plasma sehingga kebocoran plasma dapat menjadi salah satu penanda dari derajat keparahan penyakit infeksi DENV. Kebocoran plasma ini dapat mempengaruhi kadar elektrolit, seperti kalium, dalam darah.Tujuan: Mengetahui hubungan kadar kalium pada pasien infeksi DENV dengan derajat keparahan penyakit.Metode: Peneliti menggunakan desain studi kohort dari data sekunder komunitas di Jakarta pada tahun 2010. Sampel merupakan populasi usia ≥ 14 tahun dengan riwayat demam ≤ 48 jam, didiagnosis demam dengue berdasarkan klasifikasi WHO 1997, dan memiliki hasil uji NS1 postif. Besar sampel adalah 43 orang dengan total 38 orang yang memenuhi kriteria inklusi. Data kadar kalium yang digunakan yaitu data pada demam hari ke-3 dan ke-4. Hasil pemeriksaan dianalisis menggunakan Uji T Independen.Hasil: Hasil analisis hubungan antara kadar kalium serum hari ke-3 dan hari ke-4 pada kelompok DD dan DBD menunjukkan perbedaan yang tidak bermakna (hari ke-3, p = 0,487) (hari ke-4, p = 0,614).Kesimpulan: Tidak terdapat hubungan antara kadar kalium serum dengan derajat keparahan penyakit pada pasien infeksi DENV.Background: Dengue virus infection (DENV) can cause clinical manifestations such as dengue fever (DF) and dengue hemorrhagic fever (DHF). The two groups can be distinguished by the occurrence of plasma leakage so that plasma leakage can be a marker of the severity of DENV infection. Plasma leakage can affect electrolyte levels, such as potassium, in the blood.Objective: Knowing the association of potassium levels in patients with DENV infection with the disease severity.Methods: Author used a cohort study design from secondary community data in Jakarta in 2010. The sample was a population aged ≥ 14 years with a history of fever ≤ 48 hours, diagnosed with dengue based on WHO 1997 classification, and had positive NS1 test results. The sample size was 43 people with a total of 38 people who met the inclusion criteria. Potassium levels data used are data on the 3rd and 4th day fever. The examination results were analyzed using an Independent T Test.Results: The results of the analysis of the association between serum potassium levels on day 3 and day 4 in the DD and DHF groups showed insignificant difference (day 3, p = 0.487) (day 4, p = 0.614).Conclusion: There is no association between serum potassium levels with the disease severity in patients with DENV infection."

"Physical activity across the lifespan makes a clear, scientific case for exercise, sports, and an active lifestyle in preventing illness and establishing lifetime health habits at both the individual and the population levels. The book focuses on key aspects of physical/mental well-being—weight, mood, and self-regulation—and the role of physical activity in public health and school-based interventions targeting these areas. Contributors review definitional and measurement issues salient to understanding what physical activity is, to analyzing benefits of participation, and to implementing effective interventions. Also addressed are limitations of current research, steps needed to continue building the field, and emerging therapeutic possibilities for activity, such as the role of rough and tumble play in preventing ADHD."

"Latar Belakang: Perubahan dinamis di berbagai aspek merupakan salah satu pertimbangan perlunya penilaian kualitas hidup penduduk usia produktif yang merupakan sumber daya manusia utama. Tujuan penelitian ini adalah mengkonstruksi instrumen penilaian kualitas hidup berdasarkan 7 domain yaitu kesejahteraan, kesehatan umum, fisik, mental, lingkungan sosial, partisipasi di masyarakat dan keagamaan; serta mengetahui determinan yang berpengaruh terhadap perubahan kualitas hidup.Metode: Penelitian ini merupakan studi kohort menggunakan data IFLS 2007-2014. Populasi target adalah individu usia 15-57 tahun (baseline) dengan jumlah sampel sebanyak 8920 orang yang memenuhi kriteria aktivitas utama bukan sekolah dan diikuti sampai tahu 2014. Confirmatory Factor Analysis digunakan untuk menguji validitas dan reliabilitas konstruk instrumen kualitas hidup. Determinan perubahan kualitas hidup di analisis dengan regresi linier.Hasil: Terjadi penurunan kualitas hidup penduduk usia produktif dalam kurun waktu 7 tahun follow up. Penurunan rata-rata skor kualitas hidup tersebut sebesar 2,87 poin. Diketahui terdapat 4 domain kualitas hidup yang mengalami penurunan skor yaitu domain kesehatan umum, fisik, mental dan lingkungan sosial. Morbiditas akut dan indeks massa tubuh yang tinggi merupakan faktor dominan yang mempengaruhi penurunan kualitas hidup.Kesimpulan: Perlu dilakukan survei nasional penilaian multidimensional kualitas hidup penduduk usia produktif di Indonesia. Upaya preventif, promotif, menjaga  berat badan dalam ambang normal dengan berperilaku hidup sehat dan gizi seimbang dapat mencegah morbiditas dan berat badan lebih. 

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Background: Dynamic changes in quality of life are important aspects to be investigated particularly in the working-age population as the main human resources. This study aimed to construct quality of life instruments to measure the seven domains of health-related quality of life as known as determinants of change in quality of life, comprising welfare, general health, physical and mental well-being, social environment,  participation in society and religion.

Methode: A cohort study was conducted using a set of public data of the Indonesian Family Life Survey (IFLS) between 2007 to 2014. A total of 8920 people aged 15 to 57 years old was traced at the baseline of out-of-school activities and were followed until 2014.  Confirmatory Factor Analysis was employed to test the construct validity and reliability of the quality of life instruments. Changes in quality of life were analyzed as determinants in a linear regression model.

Result: The results proved that there was a decrease in the quality of life among the working-age population during a seven-year follow-up period. This scored 2.87 points on average. There were four domains of quality of life that showed decreased scores, comprising general health, physical, mental, and social environment. The risk of falls on the quality of life was mostly affected by the following factors: acute morbidity and high body mass index.

Conclusion: This indicated that medical check-ups, managing a normal body mass index, and a healthy lifestyle can help reduce the risk of morbidity and weight-gain. A multidimensional quality of life needs to further be researched.  "