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Taken by Corentin Fohlen of France, for Fedephoto, it won 2nd Prize Stories Spot News in the 54th annual World Press Photo Contes in Amsterdam.

The top prize World Press Photo Of The Year was won by Jodi Bieber, of South Africa, Institute for Artist Management for Time magazine, for the portrait of Bibi Aisha, the year-old Afghan woman whose nose was cut off.

The 'Red shirt' protest was organised by the National United Front of Democracy Against Dictatorship UDD from March to May against the Democrat Party-led government of r Prime Minister Abhisit Vejjajiva.

More than 80 civilians and six soldiers were killed in the violence before the military successfully cracked down on the protesters on 19 May.

There are stories behind all the pictures, the best - and most shocking - of which are showcased here. Perhaps the most touching is that behind a South African photographer's portrait of an Afghan woman whose husband sliced off her nose and ears.

Jodi Bieber's picture of Bibi Aisha, 18, who was rescued by the U. The posed picture, which contrasts the woman's arresting beauty against the results of the violence done to her after she fled an abusive marriage, was published on the cover of Time magazine on August 1.

She has published two books on her native South Africa. Jury members said the photo, though shocking, was chosen because it addresses violence against women with a dignified image.

A man carrying his catch through the streets of Mogadishu, Somalia. This picture, taken by Omar Feisal, Somalia, for Reuters, won 1st Prize Singles Daily Life.

Atlantic Sailfish attack Spanish sardines, off Yucatan Peninsula, Mexico, in a picture by photographer Reinhard Dirscherl, Germany, which won 2nd Prize Singles Nature.

The picture also gains part of its resonance from its similarity with the iconic National Geographic photograph of a beautiful young Afghan woman with a piercing gaze.

Time's publication of the picture provoked international debate over the ethics of publishing - or not publishing - such a disturbing image.

The Eritrean national cycling team passes a camel caravan on the road from Barentu to Keren, by Chris Keulen, of the Netherlands, Panos, pictures for Geo, who won 3rd Prize Stories Sports.

Whooper Swans at dawn, in Hokkaido, Japan, in a picture taken by Stefano Unterthiner, Italy, for National Geographic magazine, winner of 2nd Prize Stories Nature.

Hindu devotees walking towards the ash-shooting Mount Bromo volcano, in Cemoro Lawang, Java, to make offerings in a picture taken by AFP photographer Christophe Archambault.

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Web-based computer-tailored interventions fit this need. By increasing personal relevance, tailored messages are more likely to be read, thoughtfully considered, and influence beliefs and behaviors [ 22 - 26 ].

Computer-tailored interventions can reach large groups of people in a cost-effective way [ 25 , 27 , 28 ], and users can take part in the intervention in private at any preferred time [ 29 ].

An additional advantage of computer-tailored interventions for schools is that, due to a semiprivate computer environment, students can be more willing to disclose personal information and smoking status [ 30 ].

Web-based computer-tailoring has proven to be successful in influencing health behaviors like nutrition and physical activity, among both adults [ 27 , 29 , 31 ] and adolescents [ 32 , 33 ].

Additionally, multiple studies have demonstrated the effectiveness of Web-based computer-tailored interventions for the promotion of adult smoking cessation [ 24 , 34 , 35 ].

Few studies have focused on computer-based tailored programs addressing adolescent smoking prevention. Both Prokhorov and colleagues [ 16 , 30 ] and Buller and colleagues [ 18 ] evaluated computer-based tailored smoking prevention programs for adolescents, consisting of multiple sessions delivered over 6 weeks.

Although the results suggest that these tailored programs may be beneficial for the prevention of smoking, the researchers reported problems with recruitment and retention of adolescents.

They stress the need for shorter interventions [ 18 ] that are theory-based, technologically advanced, and tailored to the needs of adolescents [ 30 ].

Smokers were provided feedback messages about how to stop smoking and non-smokers could learn how to refrain from smoking. The Smoke Alert program addressed both smoking cessation and prevention, as adolescents in schools for this age category can be both smokers and non-smokers.

The intervention presented in this study was an improved version of the Smoke Alert program that was described in an earlier study and had shown positive effects on smoking cessation [ 36 ].

This paper addresses the effectiveness of the intervention for the prevention of smoking. The main aim of this paper is to describe the intervention characteristics and to show the results of the randomized controlled trial on its effectiveness for the prevention of smoking among Dutch adolescents.

This trial was conducted among students ranging from years of age in order to detect whether implementation could be recommended for different age groups, since usage statistics showed that a wide age range of students participated in the previous version of the Smoke Alert program.

We hypothesized that smoking initiation rates would be lower in the experimental condition at 6-month follow-up, as compared to the control condition hypothesis 1.

By targeting social influences and providing skills for refusing cigarettes, we expected the smoking prevention program to be most effective for adolescents in a context in which some of their peers already smoke [ 18 ].

Consequently, we expected the program to have significant effect in particular in this specific at-risk age group hypothesis 2. Finally, we explored whether gender and baseline education level of adolescents were potential moderators in the present study.

Intervention effectiveness was studied by means of a cluster randomized controlled trial and encompassed the implementation of Smoke Alert in the experimental condition at school.

The intervention was being tested against a no-intervention control condition. Allocation ratio was and respondents from both conditions filled out a Web-based questionnaire at baseline and at 6-month follow-up, assessing smoking behavior, intention to start smoking, age, gender, and educational level.

The trial is registered in the ISRCTN Register ISRCTN Participants in the present study were students from secondary schools in the Netherlands.

During the spring of , secondary schools throughout the country were approached by sending a letter to their principals.

The principals were asked to hand out the attached flyers to their teachers, inviting them to make use of a free computer-tailored smoking intervention in their classrooms, as part of an effectiveness trial.

Local health departments assisted in recruiting schools through announcements on websites and in newsletters. Teachers were invited to digitally sign up for participation to the Smoke Alert intervention.

After subscription, teachers received a letter with more extensive information about the purpose, design, and planning of the effectiveness study.

Teachers were requested to schedule 30 minutes, between 9 May and 10 June , for the students to complete the Web-based questionnaire in the classroom.

In contrast to the baseline assessment, which took place at school, the students were invited by email for the 6-month follow-up measurement.

Students who did not supply a valid email address at baseline were excluded from participation in the follow-up measurement. To stimulate response, students were told that they could win an iPod or cinema voucher by participating in the follow-up assessment.

Respondents in the control condition were given the opportunity to obtain computer-tailored advice after they filled out the follow-up questionnaire.

The Smoke Alert program was based on the I-Change Model, or the Integrated Model for exploring motivational and behavioral change [ 38 , 39 ].

According to the I-Change Model, behavior eg, smoking behavior is influenced by awareness factors knowledge, risk perceptions, and cues to action , motivational factors attitudes, social influence beliefs, and self-efficacy , and action factors action plans and goal actions Figure 1.

The I-Change Model [ 38 , 39 ]. The previous version of Smoke Alert [ 36 ] was revised on the basis of focus group discussions with adolescents suggesting improvements such as the use of avatars, different Web design, and less extensive feedback messages.

In order to increase recruitment and retention of adolescents, the revised version contained a combination of textual information with other content-related elements like graphics and animated videos [ 40 - 42 ].

The questionnaire and content of the feedback messages of Smoke Alert were updated versions of previously used questionnaires and feedback, derived from evidence-based interventions on smoking prevention and cessation [ 9 , 10 , 17 , 43 ].

Pilot tests revealed that the questionnaire should not be too long, resulting in a questionnaire that focused on assessing sociodemographics age, gender, and education level , intention to start smoking, and motivational determinants.

Three social cognitive concepts were measured according to the I-Change Model: namely, attitude towards smoking, perceived social influence, and self-efficacy not to smoke.

Perceived influences from the social environment were measured by 2 items that assessed social modeling. Self-efficacy was measured with 6 items via which students could indicate how sure they were that they could remain a non-smoker in certain situations.

These situations can be divided into 2 types: stressful situations eg, feeling nervous and social situations eg, at a party, when friends smoke [ 38 ].

The respondents used their unique log-in information, provided by their teachers, to access the intervention website at school.

Students in the experimental condition received their feedback on the computer screen immediately after filling out the questionnaire.

The advice consisted of a home page, containing an introduction and a second animated video, as well as several subpages, each providing feedback on a specific determinant for a screenshot of the home page, see Multimedia Appendix 1.

Facts and figures were depicted on the right and left sides of the pages, also tailored to the answers of the students.

The introduction consisted of a personal greeting that contained the name of the student, followed by a confirmation of their smoke-free status and intention to start smoking.

Students were praised for being a non-smoker. The video content was based on principles of social cognitive theory [ 44 ], also used in a previous booklet-based version in the Netherlands and Romania [ 8 , 43 ], and focused on social influences.

The subpages of the advice addressed the psychosocial determinants. The first subpage was dedicated to beliefs about smoking ie, attitude.

These messages had the general intention of countering beliefs about the positive effects of smoking eg, smoking will make me feel relaxed, smoking will make me popular and to strengthen beliefs about the negative effects eg, smoking will cost me a lot of money.

The second subpage addressed the perceived social influence. When most people in the environment of the student were non-smokers, the feedback confirmed that smoking is not the norm in the Netherlands.

The third subpage was dedicated to self-efficacy. For situations where the student expected difficulties in remaining a non-smoker, strategies were offered to help the student to get through these situations without initiating smoking eg, thinking about the reasons for being a non-smoker.

The final subpage focused on action plans. The feedback reflected on every action plan the student had indicated he or she would use in situations where someone would offer a cigarette.

Examples of action plans were provided when a student was not planning to use a certain action plan.

The main message regarding action plans was: by preparing yourself for the situation when someone offers you a cigarette, you will be more confident and it will be easier to refuse the cigarette.

Examples of the computer-tailored feedback messages are provided in Table 1. A copy of the advice a PDF file was sent when an email address was voluntarily provided.

This way, the students could re-read or print their advice at home. Examples of feedback messages [ 36 ].

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