Suchergebnisse

Osteoporosis has become a public health problem risk factor worldwide and a deliberate disease that affects both women and men equally. The main objective of this study is to explore the socio-economic status of osteoporosis patients related to the occurrence of osteoporosis— the current study conducted at federal government hospitals in Islamabad. A quantitative research method used to collect data through a well-designed questionnaire. A stratified random sampling technique used to select a sample of 400 osteoporosis patients within 35-80 years. Mann-Whitney U Test applied for a dependent, independent variable, and frequency distribution tables used for univariate analysis. Results showed that osteoporosis patients were spending more money on their household expenditures than health. The socio-economic status of osteoporosis patients is essential for the prevention of osteoporosis and their treatment. Osteoporosis is one of the major global health issues associated with socio-economic status. The present study recommended that the improvement of socio-economic status and increasing the level of education could play a vital role in reducing the risks of osteoporosis.

The generation gap is a serious, challengeable problem in the emerging society in Pakistan. It refers to parents or elders' disagreements, conflicts, inconsistencies, and differences in several matters such as attitude, behaviour, beliefs, values, politics, closeness, modern technology, cultural changes, and communication. The present study was designed to analyse the causes and consequences of the generation gap among the Pashtun community. A quantitative research method was used to select 400 samples of the current population and collect data through a well-designed questionnaire. The validity and reliability of the questionnaire were examined by ten PhD scholars from different universities. The Cronbach's Alpha for the data is .969. The data was analysed using SPSS version 26. The results were shown in the form of a one-way ANOVA and a frequency distribution table. The data revealed a statistically significant (0.05) relationship between various variables such as technological advancement, living patterns, behaviour, social norms, communication gaps, unemployment, poverty, socioeconomic status, and religiosity. Both parents and children are responsible for the generation gap, but it can be reduced by understanding, loving, caring, sharing, communicating, and maintaining friendly relations.