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2.
Prev Med ; 139: 106170, 2020 10.
Artigo em Inglês | MEDLINE | ID: mdl-32610059

RESUMO

The objective of the reported research was to assess the impact of text message (SMS) reminders and their content on cervical screening rates. Women invited for cervical screening in Northwest London from February-October 2015 were eligible. 3133 women aged 24-29 (Study 1) were randomized (1, 1) to 'no SMS' (control), or a primary care physician (PCP) endorsed SMS (SMS-PCP). 11,405 women aged 30-64 (Study 2), were randomized (1, 1:1:1:1:1:1) to either: no SMS, an SMS without manipulation (SMS), the SMS-PCP, an SMS with a total or proportionate social norm (SMS-SNT or SMS-SNP), or an SMS with a gain-framed or loss-framed message (SMS-GF and SMS-LF). The primary outcome was participation at 18 weeks. In Study 1 participation was significantly higher in the SMS-PCP arm (31.4%) compared to control (26.4%, aOR, 1.29, 95%CI: 1.09-1·51; p = 0.002). In Study 2 participation was highest in the SMS-PCP (38.4%) and SMS (38.1%) arms compared to control (34.4%), (aOR: 1.19, 95%CI: 1.03-1.38; p = 0.02 and aOR: 1.18, 95%CI: 1.02-1.37; p = 0.03, respectively). The results demonstrate that behavioral SMSs improve cervical screening participation. The message content plays an important role in the impact of SMS. The results from this trial have already been used to designing effective policy for cervical cancer screening. The NHS Cervical Screening Programme started running a London-wide screening SMS campaign which was based on the cervical screening trial described here. According to figures published by Public Health England, after six months attendance increased by 4.8%, which is the equivalent of 13,400 more women being screened at 18 weeks.


Assuntos
Telefone Celular , Envio de Mensagens de Texto , Neoplasias do Colo do Útero , Detecção Precoce de Câncer , Economia Comportamental , Inglaterra , Feminino , Humanos , Londres , Ensaios Clínicos Controlados Aleatórios como Assunto , Sistemas de Alerta , Neoplasias do Colo do Útero/diagnóstico , Neoplasias do Colo do Útero/prevenção & controle
3.
BMC Public Health ; 6: 70, 2006 Mar 16.
Artigo em Inglês | MEDLINE | ID: mdl-16542418

RESUMO

BACKGROUND: Body mass index [BMI, weight (kg)/height (m2)], a measure of relative weight, is a good overall indicator of nutritional status and predictor of overall health. As in many developing countries, the high prevalence of very low BMIs in India represents an important public health risk. Tobacco, smoked in the form of cigarettes or bidis (handmade by rolling a dried rectangular piece of temburni leaf with 0.15-0.25 g of tobacco) or chewed, is another important determinant of health. Tobacco use also may exert a strong influence on BMI. METHODS: The relationship between very low BMI (< 18.5 kg/m2) and tobacco use was examined using data from a representative cross-sectional survey of 99,598 adults (40,071 men and 59,527 women) carried out in the city of Mumbai (formerly known as Bombay) in western India. Participants were men and women aged > or = 35 years who were residents of the main city of Mumbai. RESULTS: All forms of tobacco use were associated with low BMI. The prevalence of low BMI was highest in bidi-smokers (32% compared to 13% in non-users). For smokers, the adjusted odds ratio (OR) and 95% confidence interval (CI) were OR = 1.80(1.65 to 1.96) for men and OR = 1.59(1.09 to 2.32) for women, respectively, relative to non-users. For smokeless tobacco and mixed habits (smoking and smokeless tobacco), OR = 1.28(1.19 to 1.38) and OR = 1.83(1.67 to 2.00) for men and OR = 1.50(1.43 to 1.59) and OR = 2.19(1.90 to 3.41) for women, respectively. CONCLUSION: Tobacco use appears to be an independent risk factor for low BMI in this population. We conclude that in such populations tobacco control research and interventions will need to be conducted in concert with nutrition research and interventions in order to improve the overall health status of the population.


Assuntos
Índice de Massa Corporal , Saúde Pública , Fumar/efeitos adversos , Tabagismo/fisiopatologia , Tabaco sem Fumaça/efeitos adversos , Saúde da População Urbana , Adulto , Idoso , Estudos de Coortes , Estudos Transversais , Feminino , Humanos , Índia/epidemiologia , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Áreas de Pobreza , Prevalência , Fatores de Risco , Fumar/fisiopatologia , Tabagismo/epidemiologia , Populações Vulneráveis/psicologia , Populações Vulneráveis/estatística & dados numéricos
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