Effect Of Social Media On Body Weight And Eating Behaviour In Housewife Versus Worker Postmenopausal Women
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 148
- 试验地点
- 1
- 主要终点
- Detection of the time spent on social media
研究概览
简要总结
The purpose of this study is to determine the effect of social media on body weight and eating behaviour in housewife versus worker postmenopausal women.
详细描述
Menopause altered fat distribution that occurs as negative impacts of the increase in insulin resistance, and the incidence of diabetes has risen exponentially. This increase, in turn, has been translates into an increased risk of cardiovascular disorder (CVD) and death, with the impact being greater in women than in men.
Media has been largely implicated in the widespread incidence of disordered eating worldwide. One of the main theories to explain the relationship between media and disordered eating is the sociocultural model. According to sociocultural theory, when young women are exposed to idealized body images in the media, they internalize these images gradually developing unrealistic body image expectations. In turn, failure to attain this idealized body image may result in body shape concerns, body dissatisfaction, and disordered eating behaviors.
Social media users are often exposed to advice and recommendations on diet and health issues through books, journals and electronic formats supported by a quick exchange of ideas through social media without scientific basis. The constant infiltration of social media into our life has necessitated a research on the effects of it on eating behavior. Owing to the prevalence of social media use, including the sharing photographs and making comments to foods, menus and recipes, it is especially important to identify the potential effects of these issues on eating behaviors.
People who use social media more are at greater risk of sleep disturbance that leads to obesity. It was reported that 40% decrease in weight gaining accrued in people who limits their screen-time than in people without such limitation.
There is widespread theoretical and practical interest in understanding how social media affect health related behaviours. Large observational studies of population health have discussed the effect of social media effect on human health even its benefits or hazards.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Prospective
入排标准
- 年龄范围
- 50 Years 至 60 Years（Adult）
- 性别
- Female
- 接受健康志愿者
- 是
入选标准
- •Postmenopausal women (housewifes/workers) at least 12 months of menstrual cessation will be included in this study.
- •Their ages will range from 50 to 60 years old.
- •They will be categorized as average to heavy users of social media according to (social networking usage questionnaire (SONTUS).
- •The selected social media websites in this study will be Facebook, YouTube, what's app, Google chrome and Internet explorer.
排除标准
- •Systematic disease (uncontrolled hypertension, diabetes mellitus).
- •Thyroid, liver and kidney dysfunctions.
- •Psycatric disorders
- •Women received any hormonal therapy or received corticosteroids in the last six months prior the study
结局指标
主要结局
Detection of the time spent on social media
时间窗: one month
The time spent on social media will be assessed by using the social networking usage questionnaire (SONTUS) for all women in both groups (A and B). A complete and full demonstration for all items of the scale should be given to each women confirming on the importance of being honest in the scoring stage and all items should be scored as they will give us the true result. If any woman doesn't understand any item, they shouldn't give the item any score till they understand it. After finishing the scoring, the result will be interpreted, and according to it we will detect the type of social media user. In scoring the SONTUS, five component scores will be derived, then they will be summed to produce a global score that ranges from 5 to 23 and according the scores, the social media users will be classified as (low user, average user, high user, and extremely high user). An individual with a global score ranging from 5 to 9 is considered a low user of social networking sites (SNSs), while a
Measurement of body weight
时间窗: one month
It will be measured for all women in both groups, using Inbody (Bodecoder) (CHL-818, made in China) and its software (2.2.1 apk).
Calculation of body mass index (BMI)
时间窗: one month
It will be calculated for all women in both groups according to the following equation: BMI = (weight in kg)/(height in m\^2 )
Measurement of total body fat
时间窗: one month
It will be measured for all women in both groups, using Inbody (Bodecoder) (CHL-818, made in China) and its software (2.2.1 apk).
Measurement of visceral fat
时间窗: one month
It will be measured for all women in both groups, using Inbody (Bodecoder) (CHL-818, made in China) and its software (2.2.1 apk).
Measurement of basal metabolic rate (BMR)
时间窗: one month
It will be measured for all women in both groups, using Inbody (Bodecoder) (CHL-818, made in China) and its software (2.2.1 apk).
Evaluation of eating behavior among social media users
时间窗: one month
Scale of effects of social media on eating behavior (SESMEB) will be used for all women in both groups to assess the effect of social media on their eating behavior. The SESMEB consists of one subscale and eighteen items. It is a reliable and valid scale, items scale is evaluated with five-point Likert scale. Each item is evaluated as 'always' five points, 'often' four points, 'sometimes' three points, 'seldom' two points and 'never' one point. There is no reverse coded substance. As it is mentioned in item analysis part, total score can be calculated. According to this minimum eighteen and maximum ninety points from SESMEB scale can be taken as total point. As a result, the increase in the person's scale score means that the level of being affected by the eating media increases.
次要结局
未报告次要终点
研究者
Ahmed Mohamed Reda Mahmoud
Principal Investigator
Cairo University