PHYSICAL ACTIVITY EXPERIENCES OF PERSIAN WOMEN RECENTLY IMMIGRATED TO CANADA

New immigrants to Canada are generally in similar or better physical and mental health than people born in Canada, however, many studies suggest that their health tends to decline quickly after immigration. Lower physical activity levels among new immigrants might be contributing to this phenomenon. There is a paucity of information regarding the physical activity behaviour of the Canadian immigrant population in general and of West Asian women, such as Iranians (Persians), in particular. Given that this group is characterised by an increasing population growth and lower rates of physical activity, it is critical to understand how best to address physical activity promotion in this population. Purpose: To understand the physical activity experiences of Persian women recently immigrated to Toronto, Canada in order to develop recommendations for the design and implementation of tailored physical activity programs. Methods: A qualitative interpretive description approach was chosen to collect and describe ideas, experiences, and perceptions of physical activity within 10 new immigrant women. Using an inductive approach, two fundamental techniques of immersion and crystallization were used throughout the analysis. Thematic analysis was conducted by performing a sequential process of open and axial coding. Emerged themes were further conceptualized through a socio-ecological lens. Results: The facilitators and barriers to physical activity among the women were situated within five overarching categories, 1) Perceptions about physical activity, 2) New physical environment and social structure, 3) Cultural heritage values, 4) Settlement and immigration factors, and 5) Physical activity program features. Discussion: Findings revealed that Persian new immigrant women’s engagement in physical activity after immigration is influenced by factors across the individual, sociocultural, environmental, institutional, and policy levels. Newcomer women’s physical activity was influenced by their transition from their society of origin to the host society and the challenges and successes experienced throughout the settlement and acculturation process. The most noticeable barrier to physical activity in Canada for the women emerged as the lack of communication of physical activity information to newcomers. A set of recommendations is provided for developing efficient physical activity programs for Persian immigrant women, which may also be relevant for other immigrant groups in Canada.

Communication-efficient decentralized sequential detection

The problem of decentralized sequential detection is studied in this thesis, where local sensors are memoryless, receive independent observations, and no feedback from the fusion center. In addition to traditional criteria of detection delay and error probability, we introduce a new constraint: the number of communications between local sensors and the fusion center. This metric is able to reflect both the cost of establishing communication links as well as overall energy consumption over time. A new formulation for communication-efficient decentralized sequential detection is proposed where the overall detection delay is minimized with constraints on both error probabilities and the communication cost. Two types of problems are investigated based on the communication-efficient formulation: decentralized hypothesis testing and decentralized change detection. In the former case, an asymptotically person-by-person optimum detection framework is developed, where the fusion center performs a sequential probability ratio test based on dependent observations. The proposed algorithm utilizes not only reported statistics from local sensors, but also the reporting times. The asymptotically relative efficiency of proposed algorithm with respect to the centralized strategy is expressed in closed form. When the probabilities of false alarm and missed detection are close to one another, a reduced-complexity algorithm is proposed based on a Poisson arrival approximation. In addition, decentralized change detection with a communication cost constraint is also investigated. A person-by-person optimum change detection algorithm is proposed, where transmissions of sensing reports are modeled as a Poisson process. The optimum threshold value is obtained through dynamic programming. An alternative method with a simpler fusion rule is also proposed, where the threshold values in the algorithm are determined by a combination of sequential detection analysis and constrained optimization. In both decentralized hypothesis testing and change detection problems, tradeoffs in parameter choices are investigated through Monte Carlo simulations.