Philippines Population: RA: Iglesia ni Cristo data was reported at 2,664,498.000 Person in 2015. This records an increase from the previous number of 2,469,957.000 Person for 2010. Philippines Population: RA: Iglesia ni Cristo data is updated yearly, averaging 2,469,957.000 Person from Dec 2000 (Median) to 2015, with 3 observations. The data reached an all-time high of 2,664,498.000 Person in 2015 and a record low of 1,762,845.000 Person in 2000. Philippines Population: RA: Iglesia ni Cristo data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G003: Population: Religious: Affiliation.

As of 2015, approximately *** million female citizens in the Philippines were affiliated with the Iglesia ni Cristo religion. The said religion was among the leading religions among households in the Philippines.

菲律宾 Population: RA: Iglesia ni Cristo在2015达2,664,498.000 人口，相较于2010的2,469,957.000 人口有所增长。菲律宾 Population: RA: Iglesia ni Cristo数据按每年更新，2000至2015期间平均值为2,469,957.000 人口，共3份观测结果。该数据的历史最高值出现于2015，达2,664,498.000 人口，而历史最低值则出现于2000，为1,762,845.000 人口。CEIC提供的菲律宾 Population: RA: Iglesia ni Cristo数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于Global Database的菲律宾 – Table PH.G003: Population: Religious: Affiliation。

Based on the 2020 census, the majority of Filipino households were affiliated with the Roman Catholic religion, accounting for about 79 percent. Meanwhile, the share of the Muslim population was 6.4 percent. The Philippines is one of the countries in the world with the highest population professing the Catholic faith, after Brazil and Mexico.

All demographic rates (survival, growth, reproduction, and recruitment) were measured for two long-lived, cold-adapted, non-clonal tundra plants (Silene acaulis and Bistorta vivipara) in multiple populations from 36 degrees N latitude (Sangre de Cristo Mountains, northern New Mexico) to 69 degrees N latitude (Alaska's North Slope), every year since populations were begun in 2001, 2007, or 2008 (depending on population) until the present (2022). Soil temperature was also measured over the entire year in all populations since 2008. The purpose of the dataset was to understand how climatic variation affects demography of the two plants and how demography differs between populations near the range edge and populations closer to the range center. The demographic census is ongoing, so new data will be added as they are collected. The data files include data on individual plants across years.

IntroductionLittle is known on how the domain and intensity of physical activity (PA) associates with metabolic syndrome (MetS). The aim of this study was to examine associations between PA domains (leisure-time, domestic, active transport, total walking and total PA), PA intensities (light, moderate and vigorous) and PA levels with MetS in the general adult population.MethodsCross-sectional study. Anthropometry, blood biochemistry, 79-item PA-questionnaire, lifestyle and medical history were evaluated in a representative sample of Canary Island adults (n = 6,729). MetS was diagnosed using the harmonized IDF-NHLBI-AHA criteria. T-test and multivariable logistic regression was used to analyse associations between PA domains and intensities with MetS vs. no MetS, controlling for socio-demographic, lifestyle, family antecedents and body mass index (BMI).ResultsFor each MET-h/day spent in moderate-vigorous PA intensities, as well as in recreational domain, active transport, total walking and total PA, the odds of MetS decreased between 3–10%. Energy expenditure exclusively in light and domestic PAs was not associated with MetS, however it was important to achieve a total PA level of 3 MET-h/day, which reduced the odds of MetS by 23%. This reduction was blunted in those with more than 2 h/d of TV watching time. A PA level of 3 MET-h/d also nullified the risk of MetS in those with low PA and high TV consumption.ConclusionsSome types of leisure time PAs may contribute more than others to reducing MetS. Light and domestic PA play a complementary role in enhancing energy expenditure in the general population. TV watching time above 2 h/d counteracted the MetS risk reduction associated with PA level, but PA level also reduced the risk of METs presented by those with a low level of PA and an excess TV watching time. Physical activity explains a greater amount of the variance of MetS than any other factors of lifestyle, education, sex and family history, and substantially mitigates the strong association of age and BMI with MetS.

Demographic characteristics of individuals included in the association study at baseline.

Distribution of energy expenditure in physical activities, socio-demographic, lifestyle and metabolic syndrome components.

The frequency of cats diagnosed with lymphoma in FeLV+P group based on the population data end the clinical manifestations.

Goiânia, Brazil, August 2008-July 2015.