scholarly journals A Cross-Sectional Study on the Relationship between Leisure or Recreational Physical Activity and Coronary Risk Factors

2000 ◽  
Vol 192 (3) ◽  
pp. 227-237 ◽  
Author(s):  
Yousuke Takemura ◽  
Yutaka Sakurai ◽  
Yutaka Inaba ◽  
Nobuo Kugai
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cross Sectional Study ◽  
Coronary Risk Factors ◽  
Coronary Risk ◽  
Sectional Study ◽  
Recreational Physical Activity ◽  
Cross Sectional ◽  
The Relationship

scholarly journals Nutritional Status and Risk Factors for Frailty in Community-Dwelling Older People: A Cross-Sectional Study

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1041 ◽  
Author(s):  
Pilar Pérez-Ros ◽  
Rafael Vila-Candel ◽  
Lourdes López-Hernández ◽  
Francisco Miguel Martínez-Arnau
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Nutritional Status ◽  
Older People ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Community Dwelling Older People ◽  
The Relationship

Objective: This study aims to assess the relationship that frailty has with nutritional status and functional risk factors in community-dwelling older adults. Methods: Cross-sectional study in community-dwelling older people, independent for walking and without impaired cognition. Frailty was assessed by Fried criteria. Nutritional status was analyzed by the Mini Nutritional Assessment Short Form (MNA-SF), biochemical markers (albumin, total proteins, cholesterol, lymphocytes, and hemoglobin); and anthropometric parameters (body mass index [BMI], body fat percentage, handgrip, and perimeters). A comprehensive geriatric assessment analyzed other risk factors: functionality, cognition, falls, comorbidity, polypharmacy, physical activity, and quality of life (QoL). Results: We included 564 elderly people with a mean age of 76.05 (standard deviation 3.97) years; 63.1% (n = 356) were women, and 83.9% (n = 473) were prefrail, and frail. The sample presented high functionality and a nutritional status with a predominance of overweight and obesity. Factors associated with frailty (R2 = 0.43) were age over 75 years (odds ratio [OR] 3.31, 95% confidence interval [CI] 1.76, 6.21; p < 0.001), female gender (OR 2.37, 95% CI 1.24, 4.52; p = 0.009), anemia (OR 2.45, 95% CI 1.19, 5.02; p = 0.015), falls (OR 1.94, 95% CI 1.12, 3.25; p = 0.016) and the fear of falling (OR 4.01: 95% CI 1.76, 9.16; p = 0.001). Performing more than 3 weekly hours of physical activity was found to be a protective factor (OR 0.23, 95% CI 0.15, 0.35; p < 0.001). Conclusions: The relationship between frailty and malnutrition in functionally independent community-dwelling older people is unclear. More studies are needed to know what nutritional markers are related to frailty, cognition, and functionality in order to discriminate the risk factors for community-dwelling older people at risk of malnutrition and dependency.

scholarly journals FAKTOR RISIKO HIPERTENSI PADA SISWA SMU ADABIAH DI KOTA PADANG

2011 ◽  
Vol 35 (2) ◽  
pp. 147
Author(s):  
Delmi Sulastri ◽  
Sidhi Sidhi
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
High School Students ◽  
Cross Sectional Study ◽  
Smoking Habits ◽  
Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
History Of ◽  
The Relationship

AbstrakHipertensi pada anak dan remaja sudah merupakan masalah kesehatan mesyarakat yang ada di Indonesia maupun di beberapa negara yang ada di dunia. Hampir 95% kasus hipertensi tidak diketahui penyebabnya atau disebut hipertensi esensial. Beberapa faktor risiko diduga berhubungan dengan peningkatan prevalensi hipertensi ini.Telah dilakukan penelitian dengan desain cross sectional study pada siswa SMU Adabiah yang berusia antara 15 tahun sampai 18 tahun, bertujuan untuk melihat hubungan faktor risiko riwayat keturunan, obesitas, aktifitas fisik dan kebiasaan merokok dengan kejadian hipertensi. Sampel sebanyak 61 orang, kemudian dilakukan wawancara mengenai karakteristik, riwayat keturunan, aktifitas fisik dan kebiasaan merokok serta pemeriksaan tekanan darah dan antropometri. Data yang diperoleh selanjutnya dianalisis menggunakan uji chi-square serta ditampilkan dalam bentuk tabel, gambar dan narasi.Hasil penelitian ini adalah 66.7% siswa mengalami obese, 20.7% mempunyai keturunan hipertensi, 30% dengan aktifitas fisik rendah dan 33.3% mempunyai kebiasaan merokok mengalami hipertensi.Tidak didapat hubungan antara obesitas, riwayat keturunan dan aktifitas fisik dengan kejadian hipertensi dan terdapat hubungan antara merokok dengan kejadian hipertensi (p=0.033).Perlu dilakukan kebijakan yang mengatur tentang peraturan merokok pada anak remaja.Kata kunci : Hipertensi, Riwayat keturunan dan ObesitasAbstractHypertension in children and adolescents is a health problem of the community is in Indonesia as well as in several countries of the world. Almost 95% of the hypertension cases have no cause yet identified or it can be referred to as essential hypertension. Some of the risk factors associated with an increased prevalenceofhypertension. . A research has be made based on cross sectional study study with a cross sectional study Adabiah high school students aged between 15 years to 18 years. The aims to examine the relationship of risk factors history of heredity, obesity, physical activity and smoking habits with the incidence of hypertension. Sample of 61 people were interviewed about the characteristics, history of heredity, physical activity and smoking habits and blood pressure and anthropometry. The dataARTIKEL PENELITIAN148obtained were then analyzed using the chi-square test and displayed in the form of tables, figuresandnarratives.The results of this study were 66.7% of students had obese, 20.7% had a descendants of hypertension, 30% with low physical activity, and 33.3% having ever smoked had hipertensi.Tidak obtained relationship between obesity, a history of heredity and physical activity with the incidence of hypertension and the relationship between smoking with the incidence of hypertension (p = 0033). There needs to be policy regarding smoking regulations in adolescents. Key word : Hypertension, Heredity and Obesity

Coronary risk factors in Turkish schoolchildren: Randomized cross-sectional study*

2000 ◽  
Vol 42 (3) ◽  
pp. 259-267 ◽  
Author(s):  
Birsen Ucar ◽  
Zubeyir Kilic ◽  
Omer Colak ◽  
Setenay Oner
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Coronary Risk Factors ◽  
Coronary Risk ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Epidemiology of hypertension in selected towns of Wollega zones, Western Ethiopia, 2019: A community-based cross-sectional study

2021 ◽  
Vol 9 ◽  
pp. 205031212110245
Author(s):  
Getu Mosisa ◽  
Bikila Regassa ◽  
Bayise Biru
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Alcohol Consumption ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Cross Sectional Study ◽  
Care Providers ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional

Introduction: Hypertension remains an emerging public health problem globally, particularly in developing countries. Age, income level, obesity, alcohol consumption, smoking, vegetables and fruit consumption, physical activity and chat chewing were some risk factors of hypertension. However, there are limited data on the epidemiology of hypertension in Ethiopia. This study aimed to assess Epidemiology of Hypertension among the community of selected towns of Wollega zones. Methods: A community-based cross-sectional study was conducted from 1 to 30 June 2019 in selected towns of Wollega zones. A multistage sampling technique was used to select 840 study participants. Data were collected using the WHO STEP wise approach. The data were coded and entered into EpiData 3, and exported to SPSS version 20.0 for analysis. Bivariate and multivariable logistic regression analyses were conducted. Statistical significance was declared at p-value < 0.05. Results: The study included a total of 838 respondents with a response rate of 99.7%. The prevalence of hypertension was found to be 189 (22.6%) (95% confidence interval = 19.9%–25.2%). Of this, 108 (12.9%) and 81 (9.7%) of female and male were hypertensive, respectively. Age groups of 30–44 years (adjusted odds ratio = 2.65 (1.43, 4.89)), 45–59 years (adjusted odds ratio = 3.55 (1.79, 7.04)), above 60 years (adjusted odds ratio = 2.97 (1.43, 6.18)), having history of alcohol consumption (adjusted odds ratio = 4.29 (2.4, 7.66)), involving in vigorous physical activity (adjusted odds ratio = 0.096 (0.028, 0.33)), not walking to and from the work (adjusted odds ratio = 13.12 (8.34, 20.67)), being overweight (adjusted odds ratio = 1.98 (1.21, 3.25)), inadequate fruits serving per day (adjusted odds ratio = 2.93 (1.75, 4.88)) were significantly associated with hypertension. Conclusion: The prevalence of hypertension was found to be high in the study area. Older age, alcohol consumption, not engaging in vigorous activity, physical inactivity, being overweight and inadequate intake of fruits were found to be risk factors for hypertension. Therefore, health care providers should provide extensive health education and promotion on recommended lifestyle modification to tackle the burden of hypertension.

Prevalence of Physical Activity Among Lebanese Adults: A Cross-Sectional Study

2009 ◽  
Vol 6 (3) ◽  
pp. 315-320 ◽  
Author(s):  
Mohamad Al-Tannir ◽  
Samer Kobrosly ◽  
Taha Itani ◽  
Mariam El-Rajab ◽  
Sawsan Tannir
Keyword(s):  
Physical Activity ◽  
Medical History ◽  
Smoking Status ◽  
Physical Activity Behavior ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Sectional Study ◽  
Cross Sectional ◽  
Activity Behavior ◽  
The Relationship

Background:This survey aims to assess the prevalence of physical activity among adult Lebanese, and to report the relationship between sociodemographic variables and physical activity behavior, highlighting the correlates discouraging people to carry out physical activity.Methods:A cross-sectional study using an anonymous self-reported questionnaire was conducted on 346 adults from four Lebanese districts. Demographic characteristics, physical activity, smoking status, alcohol consumption, and medical history were obtained.Results:Prevalence of physical activity among Lebanese adults was 55.5% (192/346). Age, BMI, marital status, medical history, occupation, educational level, and smoking were significantly associated with physical activity (P < .05). Inactive obese participants were about three times more likely to report hypertension and diabetes than inactive normal weight participants (P = .013). BMI was significantly higher among inactive participants (P = .014).Conclusion:Physical activity among Lebanese adults was comparable to other populations. Married, non–office workers, and smokers were the main correlates of physical inactivity in Lebanese adulthood.

Socio-demographic association of non communicable diseases’ risk factors in a representative population of school children: a cross-sectional study in Sousse (Tunisia)

2016 ◽  
Vol 29 (5) ◽  
Author(s):  
Meriam El Ghardallou ◽  
Jihene Maatoug ◽  
Imed Harrabi ◽  
Sihem Ben Fredj ◽  
Sahli Jihene ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
School Children ◽  
Physical Inactivity ◽  
Cross Sectional Study ◽  
Demographic Characteristics ◽  
Excess Weight ◽  
Sectional Study ◽  
Cross Sectional ◽  
Unhealthy Diet

Abstract Introduction: A better understanding of socio-demographic characteristics of subgroups, which have a high risk to develop chronic diseases, is essential to develop more efficient interventional programs especially for youth. This study aimed to determine the association between clusters of non communicable diseases (NCDs’) risk factors and the socio-demographic characteristics among a sample of Tunisian school children. Materials and methods: We conducted, in 2013/2014, a cross-sectional study among a proportional and stratified school children sample, selected in 17 elementary public schools in Sousse (Tunisia). A cluster analysis was used to identify different NCDs risk factors clusters, based on tobacco use, physical inactivity, unhealthy diet, and excess weight. Subsequent χ2-tests were used to identify differences between the NCDs risk factors clusters in regards to socio-demographic characteristics. Results: Four clusters of NCDs risk factors were found: 1) Cluster 1: physical inactivity behavior with normal weight, 2) Cluster 2: physical inactivity behavior associated to excess weight, 3) Cluster 3: unhealthy diet associated to excess weight and low practice of physical activity, and 4) Cluster 4: smoking behavior with physical activity behavior. The pattern of cluster membership differed across sex (<10–3), school level, and socioeconomic level (<10–3) but there was no significant difference between clusters for mother’s education levels and household tenure. Conclusion: This study can have important implications for health policy and practice. Indeed, it found that many subjects have simultaneous multiple NCDs risk factors which leads to identify groups at risk and implement integrated intervention program.

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