Swahili
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Public Health 1995-Jul

Can self-reported data accurately describe the prevalence of overweight?

Watumiaji waliosajiliwa tu ndio wanaweza kutafsiri nakala
Ingia / Ingia
Kiungo kimehifadhiwa kwenye clipboard
R J Roberts

Maneno muhimu

Kikemikali

Overweight is an important public health problem affecting around 50% of the population of Wales, resulting in increased risk of illness, premature disability and premature death. The aim of this study was to examine critically the accuracy of self-reported data in describing the prevalence of overweight in Wales. A sample of 1622 adults aged 18 to 64 years was taken from the Welsh Heart Health Survey 1985. In that survey weight and height data were collected on a self-completed questionnaire and by clinical measurement. Mean differences between self-reported and measured weight and height were used as indicators of bias, and the accuracy of BMI and the prevalence of overweight based on this data were analysed. Weight was reported without significant bias in men, but women under-reported their weight by an average of 1.1 kg. Height was over-reported by 1.4 cm in men, and 0.7 cm in women, on average. More than two-thirds of subjects reported to within 2.3 kg and 2.5 cm of their actual weight and height. Reporting was more biased in older and overweight groups. The calculation of body mass index resulted in amplification of bias and underestimation of the prevalence of overweight and obesity in the study sample of 4.5% in men and 6.7% in women. The results have important implications for the use of self-reported data for the scientific measurement of the prevalence of overweight, especially in longitudinal studies, and suggest that further research should be conducted into the stability of reporting bias over time.

Jiunge na ukurasa
wetu wa facebook

Hifadhidata kamili ya mimea ya dawa inayoungwa mkono na sayansi

  • Inafanya kazi katika lugha 55
  • Uponyaji wa mitishamba unaungwa mkono na sayansi
  • Kutambua mimea kwa picha
  • Ramani ya GPS inayoshirikiana
  • Soma machapisho ya kisayansi yanayohusiana na utafutaji wako
  • Tafuta mimea ya dawa na athari zao
  • Panga maslahi yako na fanya tarehe ya utafiti wa habari, majaribio ya kliniki na ruhusu

Andika dalili au ugonjwa na usome juu ya mimea ambayo inaweza kusaidia, chapa mimea na uone magonjwa na dalili ambazo hutumiwa dhidi yake.
* Habari zote zinategemea utafiti wa kisayansi uliochapishwa

Google Play badgeApp Store badge