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The application of kinanthropometry has been widely used in predicting the secular trend in increased body size of and among different ethnic groups world-wide. The criteria developed for this research can be used as standards for physical recruitment in the disciplined forces, as well as for streamlining and improving the basic measurement scale for the manufacture of uniforms.

Kinanthropometry is defined as “ the study of human size, shape, proportion, composition, maturation, and gross function, in order to understand growth, exercise, performance, and nutrition” (Day, A.P. 1984). It is similar to the mechanistic approach to human motion, i.e. anthropometry. However, the study of anthropometry is confined to width, length and girth measurements, rather than changes that occur in the human physique as a result of physical training. Somatotyping provides classification of the human body into three basic types: ectomorph, mesomorph and endomorph (Sheldon, W.H. 1940). Therefore, through the application of kinanthropometry together with somatotyping in the study of the human physique, the clothing industry can improve traditional sizing systems by means of reference to the structure and function ofthe human body.

This paper is mainly an introduction of the concept and methodology for a future survey. It consists of three parts. The first part is an introduction of the basic concepts, the second part is the description of the application of the somatotyping method, and the last part is the conclusion of this paper.

This paper applies the study of kinanthropometry to define the physique of 49 Hong Kong‐Chinese Fire Services recruits. Kinanthropometry has been widely used in predicting the secular trend in increased body size of and among different ethnic groups world‐wide. It has also been applied in the studies of the physiques of Olympic athletes. The criteria developed for this research can be used as standards for physical recruitment in the disciplined forces, as well as for streamlining and improving the basic measurement scale for the manufacture of uniforms. The results showed that the somatotypes of the studied disciplined personnel were distributed in the range of endomorphic mesomorph. Significant correlation was observed between somatotype components and body girths and length measurements.

Discusses the 6th ITCRR, its breadth of textile and clothing research activity, plus the encouragement given to workers in this field and its related areas. States that, within the newer research areas under the microscope of the community involved, technical textiles focuses on new, ‘smart’ garments and the initiatives in this field in both the UK and the international community at large. Covers this subject at length.

The purpose of this paper is to compare the three‐dimensional (3D) shapes of a sample of 18‐30 year old Australian women, to the 3D shapes assumed by the Standards Australia (SA) garment sizing system, using the newly developed L‐statistic, to suggest methods of improving current garment sizing systems.

The L‐statistic is a new method for quantifying the lack of fit between two sets of dimensions defining 3D shapes. Using the L‐value, 28 measurements were calculated from 3D scans on 294 18‐30 year old Australian women and compared to the SA sizing system. Each participant was assigned to a best‐fit size, which was the size yielding the lowest L‐value.

The results showed that there is a significant mismatch between the real 3D shapes of young Australian women and the shapes assumed by the SA sizing system, and that there is a difference of more than two sizes when comparing reported dress sizes and best‐fit clothing sizes.

Results suggest a need for revision of the current system, or development of a new system. Revision of current clothing sizes, or development of new sizes would be optimised by using 3D body scanning technology.

This paper outlines the use of the L‐statistic, a new method of comparing the shape of Australian women to the SA sizing system. The L‐statistic can also be used to compare any individual to any sizing system and to assess the lack‐of‐fit between any sizing system and a sample of scanned bodies.

The purpose of this paper is to provide new insights into the diet and nutrient intake of people receiving opioid agonist treatment (OAT) in the UK, offering implications for recovery-oriented treatment and care.

Diet and nutrient intake were assessed using quantitative methods. The research tools used were: a socio-demographic and drug use questionnaire, 24-hour dietary recall interview and anthropometry measures. A four-month follow-up was conducted using the same methods.

Mean (SD) body mass index for males (n=15) and females (n=10) exceeded the normal range (25.2 (5.9) kg/m2 and 33.3 (8.6) kg/m2, respectively) at baseline. Males decreased to the normal range at follow-up (mean (SD)=24.1 (±6.2) kg/m2]. Females increased to obesity Class II at follow-up (mean (SD)=35.1 (±8.0) kg/m2). Non-starch polysaccharide intakes were significantly lower than the reference nutrient intake (RNI). Iron intakes for females were significantly below the RNI. Saturated fat intake and sodium intake exceeded the RNI. In total, 11 (44 per cent) participants had multiple health conditions. Participants regularly consumed meals and reported frequent snacking events.

There is a need for better understanding of nutrition-related issues and dietary deficiencies amongst people receiving OAT, including larger studies that explore differences between males and females, other sub-groups and changes over time.

Nutritional recommendations or guidelines and increased attention to nutrition and diet within treatment programmes are needed to help people receiving OAT.

This paper demonstrates how diet and nutrient intake are essential to recovery processes and outcomes.

Aging adults from low-income residential areas were found to have poor nutritional status and mental health based on National Health and Morbidity Survey Malaysia (2015). Good nutrient intake contributes positively in averting these problems. Traditional Asian vegetables (ulam) are rich in polyphenols, antioxidants and fibres which could enhance nutritional status and mood state. This study intended to determine the relationship between habitual ulam intake and nutritional status, mood state and cognition among 252 aging Malaysian adults aged 45–80 years from the low-income residential areas in Klang Valley, Malaysia.

It was a cross-sectional study that used convenient sampling. Advertisement and invitation letters were sent to three selected community centres in Klang Valley prior to data collection. Informed consent was obtained prior to the collection of socio-demographic data. Anthropometric measurement was performed as per standard protocols. Validated surveys were conducted to obtain information on ulam consumption, mood state and cognitive status using validated food frequency questionnaires, Profile of Mood State and Mini-Mental State Examination questionnaires, respectively.

The average of ulam intake was 20.5 ± 2.5 g/day (½ serving daily). Habitual ulam intake was associated with lower waist circumference (R² = 0.166, β = −0.216, p < 0.01), better MMSE scores (R² = 0.337, β = 0.128, p < 0.05), less anger (R² = 0.081, β = −0.116, p < 0.05), less tension (R² = 0.139, β = −0.204, p < 0.01) and positive total mood disturbance (R² = 0.095, β = 0.164, p < 0.05) after adjustment for gender, age, energy intake, total fruits and vegetables (non-ulam) consumption. The ulam intake at 100th percentile (=30g/day) associated to a better nutritional status, mood state and cognitive status in comparison to 25th percentile (<7.9 g/day) (p < 0.05).

Findings from this research would recommend people to consume not less than 1 serving of ulam everyday in order to have improved nutritional status, mood and cognition; nonetheless, future studies are required to clarify the causal mechanism concerning this relationship.