In terms of district of residence, 45.6% were living in Mbeya rural district and the rest resided in Mpwapwa district.
Significant differences in perception were found across most socioeconomic variables, including gender, age, marital status, education, occupation, and district of residence.
Figure 2 Distribution of the measures of diversity by respondents' district of residence.
Figure 2 shows the distribution of the various measures of diversity based on the district of residence of respondents (individual-level data).
We may observe an impact of diversity on life satisfaction if diversity is not taken into account when choosing the district of residence.
For example, the choice of the district of residence may be related to the location of the job and/or family and relatives.
Religious diversity in the district of residence also does not seem to have any statistically significant impact on life satisfaction of white British people.
Although district of residence may indirectly contribute to variations in health outcomes through socioeconomic position and lifestyle, the district factor alone directly contribute to the variation.
The participants may not be representative of their district of residence, since they responded to the initial invitation to the study centre and may be regarded as volunteers.
Risk factors for death analyzed included age, sex, district of residence, type of TB, CPT use, CPT adherence, and ART provision.
Therefore, matching for district of residence was complete.
