Weight loss by mobile phone: a 1-year effectiveness study

Haapala, Irja; Barengo, Noël C.; Biggs, Simon; Surakka, Leena; Manninen, Pirjo

doi:10.1017/s1368980009005230

Cited by 264 publications

(406 citation statements)

References 27 publications

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“…A study from Sweden evaluated the effectiveness of a weight loss program delivered via SMS. The program addressed regulation of diet as well physical activity and reported that by 12 months the experimental group had lost significantly more weight than the control group (12). A systematic review published in 2016 reviewed 15 studies evaluating mHealth and eHealth interventions for promotion of healthy diets and physical activity in LAMI countries.…”

Section: Discussionmentioning

confidence: 99%

Effect of mHealth on modifying behavioural risk-factors of non-communicable diseases in an adult, rural population in Delhi, India

Sharma¹,

Banerjee²,

Ingle³

et al. 2017

mHealth

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Background:The rising trend of non-communicable diseases (NCDs) has led to a "dual burden" in low and middle-income (LAMI) countries like India which are still battling with high prevalence of communicable diseases. The incorporation of a target specially dedicated to NCDs within the goal 3 of the newly adopted Sustainable Development Goals indicates the importance the world now accords to prevention and control of these diseases. Mobile phone technology is increasingly viewed as a promising communication channel that can be utilized for primary prevention of NCDs by promoting behaviour change and risk factor modification.Methods: A "Before and After" Intervention study was conducted on 400 subjects, over a period of one year, in Barwala village, Delhi, India. An mHealth intervention package consisting of weekly text messages and monthly telephone calls addressing lifestyle modification for risk factors of NCDs was given to the intervention group, compared to no intervention package in control group.Results: After Intervention Phase, significant reduction was seen in behavioural risk factors (unhealthy diet and insufficient physical activity) in the intervention group compared to control group. Body mass index (BMI), systolic blood pressure and fasting blood sugar level also showed significant difference in the intervention group as compared to controls. Conclusions:Our study has demonstrated the usefulness of mHealth for health promotion and lifestyle modification at community level in a LAMI country. With the growing burden of NCDs in the community, such cost effective and innovative measures will be needed that can easily reach the masses.

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Section: Discussionmentioning

confidence: 99%

Effect of mHealth on modifying behavioural risk-factors of non-communicable diseases in an adult, rural population in Delhi, India

Sharma¹,

Banerjee²,

Ingle³

et al. 2017

mHealth

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“…19,20,36,[58][59][60]62,[64][65][66][67][68][69][70]72,74 Intervention participants were more likely to lose ≥ 10% of their baseline body weight compared with controls. There was no evidence that the effect of treatment differed based on focus of intervention (Table 3).…”

Section: Weight Outcomesmentioning

confidence: 99%

“…Andrews et al 22 (1) Andrews et al 22 (2) Appel et al 19 Balducci et al 25 Bennett et al 27 Burke et al 34 (F) Burke et al 34 (M) Christian et al 33 Cohen et al 35 de Mello et al 50 Dekkers et al 17 DPP 84 (1) Foster-Schubert et al 49 (1F) Foster-Schubert et al 49 (2F) Foster-Schubert et al 49 (3F) Haapala et al 36 Janus et al 53 Kirby et al 23 Kulzer et al 37 Langford et al 38 Lim et al 31 Ma et al 47 Martin et al 39 (F) Morey et al 46 Nakade et al 52 (F) Nakade et al 52 (M) Nanchahal et al 54 Parikh et al 45 Patrick et al 18 (M) Ross et al 28 (F) Ross et al 28 (M) Stevens et al 40 (F) Stevens et al 40 (M) Stevens et al 41 (F) Stevens et al 41 (M) ter Bogt et al 21 Vissers et al 26 (1) Vissers et al 26 (2) Wadden et al 20 Wood et al 42 (1M) Wood et al 42 (2M) Wood et al 43 (1F) Wood et al 43 (1M) Wood et al 43 (2F) Wood et al …”

Section: Weight Outcomesmentioning

confidence: 99%

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Treatment for overweight and obesity in adult populations: a systematic review and meta-analysis

et al. 2014

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“…Some of the characteristics of these types of mobile technologies, such as asynchrony (36)(37)(38)(39), the ease with which privacy can be maintained (40), as well as the light workload for the participants (one minute per day), helped to increase participation. In addition, the recording of foods/drinks intake was to be completed during 28 consecutive days using the application and at the end of this period using the short paper FFQ, minimizing the likelihood of changes in dietary intake.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Is there any alternative to traditional food frequency questionnaire for evaluating habitual dietary intake?

Béjar¹,

Vázquez-Limón²

2017

Nutr Hosp

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Palabras clave:Métodos epidemiológicos. Evaluación nutricional. Registros de dieta. Encuestas y cuestionarios. Teléfono inteligente. ResumenIntroducción: los métodos de evaluación de la dieta son importantes instrumentos para la investigación nutricional. Los cuestionarios de frecuencia de consumo de alimentos (CFCA) han sido los métodos utilizados con mayor frecuencia en los estudios epidemiológicos y de intervención. Hay una gran necesidad de nuevas herramientas que superen las limitaciones de estos métodos tradicionales. Objetivos: los objetivos del presente estudio fueron desarrollar un nuevo método, basado en una aplicación para teléfonos móviles llamada e-EPIDEMIOLOGY, diseñada para registrar los datos de consumo individual de una serie corta de alimentos/bebidas, y comparar estos datos con los obtenidos a partir de un CFCA corto (en papel) validado previamente. Métodos: estudiantes universitarios mayores de 18 años registraron el consumo de ciertos alimentos/bebidas usando e-EPIDEMIOLOGY durante 28 días consecutivos y cumplimentaron un CFCA corto (en papel) al fi nal del periodo de estudio. Para evaluar el acuerdo entre ambos métodos se utilizaron el coefi ciente de correlación de Spearman, el análisis de clasifi cación cruzada y el kappa ponderado. Resultados: un total de 119 participantes completaron el estudio (71,4% mujeres y 28,6% hombres). El coefi ciente de correlación de Spearman medio entre ambos métodos fue 0,73. La media del porcentaje de clasifi cación cruzada en la categoría de "acuerdo exacto + adyacente" fue 91,6%. La media del kappa ponderado fue 0,60. Conclusiones: los resultados indican que e-EPIDEMIOLOGY tiene buena concordancia con el CFCA corto (en papel) previamente validado. Sin embargo, son necesarias más pruebas con e-EPIDEMIOLOGY para establecer su utilidad de forma más amplia. AbstractIntroduction: Dietary assessment methods are an important instrument for nutrition research. Food frequency questionnaires (FFQs) have been the most frequently used dietary assessment tool in epidemiological and intervention studies. There is a great necessity for new methods of determination of habitual dietary intake that overcome the limitations of these traditional methods. Objectives: The objectives of the present study were to develop a new method, based on an application for mobile phones called e-EPIDEMI-OLOGY, designed to record individual consumption data about a short series of foods/drinks, and to compare data collected using this tool with those obtained from a previously validated short paper FFQ. Methods: University students over 18 years recorded the consumption of certain foods/drinks using e-EPIDEMIOLOGY during 28 consecutive days and then fi lled out a short paper FFQ at the end of the study period. To evaluate the agreement between both methods, Spearman's correlation coeffi cient, cross-classifi cation analysis and a weighted kappa statistic were used. Results: One hundred and nineteen participants completed the study (71.4% female and 28.6% male). The mean Spearman's correlati...

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Weight loss by mobile phone: a 1-year effectiveness study

Abstract: This mobile phone weight-loss programme was effective in short- and long-term weight loss. As a minimum-advice, maximal-contact programme, it offers ideas for future weight-loss programmes.

Cited by 264 publications

References 27 publications

Effect of mHealth on modifying behavioural risk-factors of non-communicable diseases in an adult, rural population in Delhi, India

Effect of mHealth on modifying behavioural risk-factors of non-communicable diseases in an adult, rural population in Delhi, India

Treatment for overweight and obesity in adult populations: a systematic review and meta-analysis

Is there any alternative to traditional food frequency questionnaire for evaluating habitual dietary intake?

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