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Chronic disease risk factors in a transitional country : the case of rural Indonesia /Ng, Nawi, January 2006 (has links)
Diss. (sammanfattning) Umeå : Univ., 2006. / Härtill 4 uppsatser.
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Correlates of physical activity in Interlake youthErickson, Tannis 10 July 2014 (has links)
A social ecological framework is used in this study to identify health behaviours that have the potential to affect physical activity levels in Interlake youth. Data from two cycles of the Youth Health Survey (YHS) were used to identify which demographic, individual, social and environmental factors were associated with physical activity levels of youth. Boys were found to have higher rates of physical activity than girls. As students got older their physical activity rates declined. Sex, active transportation to school, screen time, healthy eating, self perception of body image, feelings of hopelessness and feeling close to people at school were significantly associated with physcial activity levels. Important differences have been identified between the individual, social and environmental factors that can potentially affect physical activity levels of youth based on the data produced by the Interlake YHS. Individual factors have the strongest association with physical activity levels, followed by environmental factors.
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Antropometrinių indeksų ryšiai su lėtinių ligų rizikos veiksniais / Associations between anthropometric indexes and risk factors of chronic diseasesŠapnagytė, Justina 18 June 2014 (has links)
Darbo tikslas – įvertinti antropometrinių indeksų ir lėtinių ligų rizikos veiksnių ryšius.
Uždaviniai: Įvertinti tiriamųjų antropometrinius indeksus ir jų tarpusavio sąsajas; nustatyti lėtinių ligų rizikos veiksnių paplitimą tiriamojoje populiacijoje; palyginti skirtingų antropometrinių indeksų ryšį su lėtinių ligų rizikos veiksniais.
Tyrimo metodika: Tiriamieji – atsitiktinai atrinkti Kauno miesto gyventojai, gimę 1964 metais, pirmą kartą ištirti 1977 metais pagal Juvenilinės hipertenzijos programą (n=1082). 2012 metais sveikatos patikrinime dalyvavo 511 asmenų (64,4 proc. galėjusių atvykti). Tiriamiesiems buvo atlikti antropometriniai matavimai, matuotas arterinis kraujospūdis ir atlikti biocheminiai kraujo tyrimai. Skaičiuotas kūno masės indeksas – KMI=svoris (kg)/ūgis2(m2). Antsvoris nustatytas, kai KMI buvo 25-29,9 kg/m2, nutukimas – kai KMI >30 kg/m2. Vyrų liemens apimtis >94 cm, o moterų – >80 cm laikyta padidėjusia. Padidėjęs liemens ir klubų santykis vyrams buvo >1, moterims – >0,85. Padidėjęs liemens ir ūgio santykis buvo >0,51. Statistinė duomenų analizė atlikta naudojant SPSS 16.0 for Windows programą.
Rezultatai: Net 69,1 proc. vyrų ir 56,1 proc. moterų turėjo per didelį KMI, 57,0 proc. tirtųjų – per didelę liemens apimtį, 23,2 proc. vyrų ir 13,0 proc. moterų – padidėjusį liemens ir klubų santykį, 63,5 proc. vyrų ir 41,1 proc. moterų – padidėjusį liemens ir ūgio santykį. Visi antropometriniai indeksai buvo tarpusavyje susiję. Didėjant antropometrinių indeksų... [toliau žr. visą tekstą] / The aim of the study is to assess the associations between anthropometric indexes and risk factors of chronic diseases.
Objectives: to evaluate anthropometric indexes and their interrelationship in Kaunas cohort; to determine prevalence of the risk factors of chronic diseases in the study population; to compare strength of associations between anthropometric indexes and risk factors of chronic diseases.
Methods: In 1977, a random sample of Kaunas schoolchildren born in 1964 (n=1082) was examined in the first cross-sectional survey. In 2012, 511 subjects participated in 35-year follow-up survey (64.4% response rate). Health examination involved measurements of blood pressure, anthropometric and biochemical parameters. The body mass index was calculated - BMI=weight (kg)/ūgis2 (m2). Overweight was defined when BMI was 25 - 29.9 kg/m2 and obesity – when BMI >30 kg/m2. Waist circumference >94 cm for men and >80 cm for women was considered as increased. Waist-to-hip ratio > 1 for men and >0.85 for women was defined as increased. Waist-to-height ratio >0.51 was considered as increased. Statistical analyzes were performed using SPSS 16.0 for Windows program.
Results: The study has revealed that even 69.1% of men and 56.1% of women were overweight or obese, 57.0% of participants had increased waist circumference, 23.2% of men and 13.0% of women - increased waist-to-hip ratio, 63.5% of men and 41.1% of women - increased waist-to-height ratio. All anthropometric indexes were... [to full text]
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Life's Simple 7 in Two U.S. Populations Facing Cardiovascular Disease- and Cancer- Related Health DisparitiesWeier, Rory Cusack January 2015 (has links)
No description available.
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