Browsing Pairoj Saonuam by Resource Type "Research paper"

Now showing items 1-3 of 3

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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 ...
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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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      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 ...