Effect Of Social Media On Body Weight And Eating Behaviour In Housewife Versus Worker Postmenopausal Women

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
Age50-60
SponsorCairo University

About this trial

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.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

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.

Disqualifiers

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

Trial population

This study will be conducted on 148 post-menopausal women (workers/ housewives) at least one year after their last period. They will be selected from the outpatient clinic of women's health, Mataria Teaching Hospital, Cairo, Egypt.

Trial design

Design model

Other

Time perspective

Prospective

Treatments tested in this trial

  • Detection of the time spent on social media

    Other intervention

    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).

  • Evaluation of body composition and basal metabolic rate

    Other intervention

    They will be evaluated using Inbody (Bodecoder)(CHL-818, made in China) and its software (2.2.1 apk)

  • Evaluation of eating behavior among social media users

    Other intervention

    Scale of effects of social media on eating behavior (SESMEB) will be used for all women in both groups (A and B) 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.

Treatment groups

148 Participants
are divided into 2 treatment groups
Group A: Housewife postmenopausal women3 interventions
Group B: Worker postmenopausal women3 interventions

Trial outcomes

Primary outcomes

1

Detection of the time spent on social media

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

Time frame
one month
2

Measurement of body weight

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).

Time frame
one month
3

Calculation of body mass index (BMI)

It will be calculated for all women in both groups according to the following equation: BMI = (weight in kg)/(height in m\^2 )

Time frame
one month
4

Measurement of total body fat

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).

Time frame
one month

Secondary outcomes

Other outcomes

Sponsors and contacts

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