Table 2.

Detailed sampling characteristics

Study	Authors (year)	Sample selection	Participant recruitment	Sample size and response rate	Participants traits
1	Banerjee (2017) [11]	Representative of the region in terms of socioeconomic and cultural levels	Stratified and random sampling	100 802 approached and analysed	47.2% female, ≥50 years old
				Attrition <1%
2	Gurukartick (2016) [12]	Rural community dwelling elderly population	Random and proportional sampling	1304 analysed	44.9% female, ≥65 years old
				Sample size calculation ≥1300
3	Gambhir (2014) [13]	Rural community dwelling elderly population	Random sampling	728 analysed	64.4% female, ≥60 years old
				54-80% for female
4	Senanorong (2013) [14]	Rural community dwelling elderly population	Catchment from primary care unit of Siriraj Hospital	1998 approached, 1973 analysed (98.7%)	65.1% female, ≥60 years old
				Sample size calculation ≥1948
5	Tiwari (2013) [15]	Rural community dwelling elderly population	Random sampling	2324 approached, 2146 analysed (92.3%)	52.6% female, ≥60 years old
				Sample size calculation ≥ 2060
6	Seby (2011) [16]	Urban community dwelling elderly population	Consecutive sampling	218 approached, 202 analysed (92.7%)	49.1% female, ≥65 years old
7	Mathuranath (2010) [17]	Representative of the region in terms of socioeconomic and cultural levels	Door to door survey	2690 eligible, 2446 analysed (90.9%)	59.4% female, ≥55 years old
8	Saldanha (2010) [18]	Community dwelling population	Random sampling then door to door survey	2145 approached, 2119 analysed, (98.8%)	60.5% female, ≥65 years old