Browsing Pairoj Saonuam by Issue Date

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      Refining index to measure physical activity inequality: which group of the population is the most vulnerable? 

      Widyastari, Dyah Anantalia; Khanawapee, Aunyarat; Charoenrom, Wanisara; Saonuam, Pairoj; Katewongsa, Piyawat (2022-08-31)

      Background: The existing body of research mostly discusses inequality in physical activity (PA) based on the difference in the level of moderate-to-vigorous physical activity (MVPA). Evidence is lacking on the quantified inequality measures (e.g., how big the inequality is, and the distribution) in order to identify the most vulnerable groups of a population. This study measured PA inequality among Thai adults by using three parameters to construct an inequality index: (1) Proportion of the population with sufficient MVPA; (2) Cumulative minutes ...
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      Report card grades on physical activity for children and adolescents from 18 Asian countries: Patterns, trends, gaps, and future recommendations 

      Lee, Eun-Young; Shih, An-Chi; Collins, Maia; Kim, Yeong-Bae; Nader, Patrick Abi; Bhawra, Jasmin; Katapally, Tarun Reddy; Tanaka, Chiaki; Saonuam, Pairoj; Katewongsa, Piyawat; Widyastari, Dyah Anantalia; Huang, Wendy Y.; Wong, Stephen H.; Khan, Asaduzzaman; Subedi, Narayan; Paudel, Susan; Chang, Chen-Kang; Wu, Ching-Lin; Jeon, Justin Y.; Kim, Yeon Soo; Loney, Tom; Müller-Riemenschneider, Falk; Chen, Bozhi; Cagas, Jonathan Y.; Wong, Jyh Eiin; Shahril, Mohd Razif; Mahendra, Agus; Tremblay, Mark S. (2022-10-29)

      Background/Objective: Physical inactivity is a persistent and worsening population health concern in Asia. Led by the Active Healthy Kids Global Alliance, Global Matrix (GM) initiative provides an opportunity to explore how regional and cultural differences across 18 Asian countries relate to physical activity (PA) participation among children and adolescents. The purpose of study was to synthesize evidence from the GM2.0 to GM4.0 (2016–2022) in Asian countries. Methods: Report Card grades on behavioral/individual and sources of influence ...
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      Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand 

      Phulkerd, Sirinya; Thongcharoenchupong, Natjera; Chamratrithirong, Aphichat; Gray, Rossarin Soottipong; Pattaravanich, Umaporn; Ungchusak, Chantana; Saonuam, Pairoj (2023-01-13)

      Introduction: This study investigated the prevalence of food insecurity, and the association between socio-demographic and geographic factors and food insecurity in Thailand during the COVID-19 pandemic. Methods: The study extracted data on 5,066 persons age 15 years or older from a nationally-representative sample survey of Thai households, conducted during June-December 2021. The respondents were asked about food insecurity, socio-demographic characteristics, debt, and role of the primary household food provider. Binary logistic regression ...
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      The cost-effectiveness of improved brief interventions for tobacco cessation in Thailand 

      Palakai, Rungrat; Sornpaisarn, Bundit; Sawangdee, Yothin; Chuanwan, Sutthida; Saonuam, Pairoj; Katewongsa, Piyawat; Rehm, Jürgen (2023-11-23)

      Background: This study estimated the cost-effectiveness of four strategies enhancing the quality and accessibility of Brief Intervention (BI) service for smoking cessation in Thailand during 2022–2030: (1) current-BI (status quo), (2) the effective-training standard-BI, (3) the current-BI plus the village health volunteers (VHV) mobilization, and (4) the effective-training BI plus VHV mobilization. Methods: By interviewing five public health officers, nine healthcare professionals aiding these services, and fifteen BI service experts, we ...