Parents' and siblings’ role model motivation and function could play an important role in positively influencing both their own media behavior and that of family members. To investigate whether parents and siblings consciously take on this role model function, their intentions were being evaluated with a standardized questionnaire before a 6-week media fasting intervention. 135 pairs of parents and 178 pairs of children were included. A major component of the parents' media fasting intention to media fast was to be a role model for their children. This was particularly related to the idea that media fasting has something cleansing about it, as well as the hope of becoming more attentive and calm as a family. These parents seem to want to strengthen family cohesion and climate and protect their children from excessive media consumption. Children who want to be role models for their parents also intend to have a positive influence within the family and want to be role models for their siblings. Regression analyses revealed several predictors of the parents' intent for role model function: the hope of becoming more attentive and calm as a family, the view that media fasting has something cleansing about it, and the perception that it is good for one's children to use less digital screen media, and, inversely, age (R2 =.35). The best predictors of the corresponding intention among the children were the desire to be a role model for their siblings, for the family to do more together again and, as for the parents, a younger age (R2=.57). The intentions of both groups are different, but the possibility of using less media is perceived as sensible. The role model function appears to be a relevant motivating and influencing factor regarding the conscious use of digital screen media and regulation of screen time. This should be taken into account when developing interventions. Show less

Objective This study aimed to explore the respondents’ reproductive health profiles, examining the physiological and psychosocial perimenopausal symptoms affecting productivity, and identifying occupational needs. It also determined the relationship between menopausal symptoms and the productivity and occupational needs of peri-menopausal women. Methodology A descriptive cross-sectional design was used, surveying 50 women over 40 years old with a validated four-point Likert scale instrument. The instrument undergone content validation, reliability test, and ethical approval. Survey was administered personally and online using purposive sampling. Statistical treatments included weighted mean, F-test, T-test, Pearson r correlation, and ranking. Key results The majority of participants had their first menstruation between 11 to 15 years old and experienced regular menstrual cycles. Most had one child, with an equal number of cesarean and normal deliveries, and reported no pregnancy complications. The study found that participants seldom experienced physiological and psychosocial menopausal symptoms. They agreed on the occupational needs during the perimenopausal period. It was found that physiological symptoms were influenced by factors such as early menarche, cesarean delivery, and pregnancy complications. Additionally, psychosocial symptoms varied based on menstrual status, the number of children, and pregnancy complications, with those experiencing earlier menstruation or complications reporting more intense symptoms. The study revealed a significant relationship between both physiological and psychosocial perimenopausal symptoms, which negatively impacted productivity and increased occupational needs. Women with higher menopausal symptoms expressed a greater need for workplace policies that support perimenopausal women, highlighting the need for tailored workplace interventions for this demographic. Future Direction The study recommends including pap smears and mammograms in annual exams for peri-menopausal women, offering awareness seminars on managing perimenopausal symptoms to reduce workplace disruptions, and suggests future research exploring additional variables affecting perimenopausal women’s health and productivity Show less